diff --git a/ivy/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree b/ivy/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree index fec81229a3..cf014b9e68 100644 Binary files a/ivy/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree and b/ivy/.doctrees/docs/functional/ivy/ivy.functional.ivy.meta.doctree differ diff --git a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree index 34d11d978e..47b5405ac5 100644 Binary files a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree and b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.doctree differ diff --git a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree index 926cb48064..26453796f6 100644 Binary files a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree and b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.doctree differ diff --git a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree index bf707d1a15..ae9efaebe9 100644 Binary files a/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree and b/ivy/.doctrees/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.doctree differ diff --git a/ivy/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree b/ivy/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree index bbd5dd5462..2cd37b5131 100644 Binary files a/ivy/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree and b/ivy/.doctrees/docs/helpers/ivy_tests.test_ivy.helpers.globals.doctree differ diff --git a/ivy/.doctrees/docs/stateful/ivy.stateful.layers.doctree b/ivy/.doctrees/docs/stateful/ivy.stateful.layers.doctree index a61e946934..09994c4dc9 100644 Binary files a/ivy/.doctrees/docs/stateful/ivy.stateful.layers.doctree and b/ivy/.doctrees/docs/stateful/ivy.stateful.layers.doctree differ diff --git a/ivy/.doctrees/environment.pickle b/ivy/.doctrees/environment.pickle index 025e6e6495..b4c6d54fb9 100644 Binary files a/ivy/.doctrees/environment.pickle and b/ivy/.doctrees/environment.pickle differ diff --git a/ivy/.doctrees/index.doctree b/ivy/.doctrees/index.doctree index 8f34534e49..93d4537f54 100644 Binary files a/ivy/.doctrees/index.doctree and b/ivy/.doctrees/index.doctree differ diff --git a/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html b/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html index d0334f0fbd..cf4a5eeed4 100644 --- a/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html +++ b/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html @@ -1389,7 +1389,7 @@

Meta#

variables (Container) – Variables to be optimized during the meta step

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. Default is ivy.gradient_descent_update.

  • inner_batch_fn (Optional[Callable], default: None) – Function to apply to the task sub-batch, before passing to the inner_cost_fn. Default is None.

  • @@ -1443,7 +1443,7 @@

    Meta#

    variables (Container) – Variables to be optimized during the meta step

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. Default is ivy.gradient_descent_update.

  • inner_batch_fn (Optional[Callable], default: None) – Function to apply to the task sub-batch, before passing to the inner_cost_fn. Default is None.

  • @@ -1520,7 +1520,7 @@

    Meta#

    variables (Container) – Variables to be optimized.

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. It takes the learnable +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. It takes the learnable weights,the derivative of the cost with respect to the weights, and the learning rate as arguments, and returns the updated variables. Default is gradient_descent_update.

  • diff --git a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.html b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.html index 6ac1d8e0ce..8bbecfdb04 100644 --- a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.html +++ b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.html @@ -1392,7 +1392,7 @@

    fomaml_stepContainer) – Variables to be optimized during the meta step

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. Default is ivy.gradient_descent_update.

  • inner_batch_fn (Optional[Callable], default: None) – Function to apply to the task sub-batch, before passing to the inner_cost_fn. Default is None.

  • diff --git a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.html b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.html index 1c11294106..9d4caf7f9b 100644 --- a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.html +++ b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.html @@ -1392,7 +1392,7 @@

    maml_stepContainer) – Variables to be optimized during the meta step

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. Default is ivy.gradient_descent_update.

  • inner_batch_fn (Optional[Callable], default: None) – Function to apply to the task sub-batch, before passing to the inner_cost_fn. Default is None.

  • diff --git a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.html b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.html index 29faae976e..e6eaac137f 100644 --- a/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.html +++ b/ivy/docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.html @@ -1389,7 +1389,7 @@

    reptile_stepContainer) – Variables to be optimized.

  • inner_grad_steps (int) – Number of gradient steps to perform during the inner loop.

  • inner_learning_rate (float) – The learning rate of the inner loop.

  • -
  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f76951f2e60>) – The function used for the inner loop optimization. It takes the learnable +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7f77ee536e60>) – The function used for the inner loop optimization. It takes the learnable weights,the derivative of the cost with respect to the weights, and the learning rate as arguments, and returns the updated variables. Default is gradient_descent_update.

  • diff --git a/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html b/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html index 54dda9bce1..4ffd4c2176 100644 --- a/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html +++ b/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html @@ -1378,7 +1378,7 @@

    Should not be used inside any of the test functions.

    -ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG: <object object at 0x7f7688705d10>#
    +ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG: <object object at 0x7f77e1a8dcf0>#
    diff --git a/ivy/docs/stateful/ivy.stateful.layers.html b/ivy/docs/stateful/ivy.stateful.layers.html index 871b61d9b0..abafa3b0a5 100644 --- a/ivy/docs/stateful/ivy.stateful.layers.html +++ b/ivy/docs/stateful/ivy.stateful.layers.html @@ -1505,8 +1505,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9f00>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9ea0>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e560>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e5c0>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • data_format (default: 'NWC') – NWC” or “NCW”. Defaults to “NWC”.

  • dilations (default: 1) – The dilation factor for each dimension of input. (Default value = 1)

  • @@ -1543,8 +1543,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9e40>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9de0>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e620>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e680>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • output_shape (default: None) – Shape of the output (Default value = None)

  • data_format (default: 'NWC') – NWC” or “NCW”. Defaults to “NWC”.

  • @@ -1582,8 +1582,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9d80>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9d20>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e6e0>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e740>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • data_format (default: 'NHWC') – NHWC” or “NCHW”. Defaults to “NHWC”.

  • dilations (default: 1) – The dilation factor for each dimension of input. (Default value = 1)

  • @@ -1620,8 +1620,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9cc0>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9c60>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e7a0>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e800>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • output_shape (default: None) – Shape of the output (Default value = None)

  • data_format (default: 'NHWC') – NHWC” or “NCHW”. Defaults to “NHWC”.

  • @@ -1659,8 +1659,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9b40>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9ae0>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e920>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e980>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • data_format (default: 'NDHWC') – NDHWC” or “NCDHW”. Defaults to “NDHWC”.

  • dilations (default: 1) – The dilation factor for each dimension of input. (Default value = 1)

  • @@ -1697,8 +1697,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9a80>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9a20>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e9e0>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10ea40>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • output_shape (default: None) – Shape of the output (Default value = None)

  • data_format (default: 'NDHWC') – NDHWC” or “NCDHW”. Defaults to “NDHWC”.

  • @@ -1761,8 +1761,8 @@
  • strides – The stride of the sliding window for each dimension of input.

  • padding – SAME” or “VALID” indicating the algorithm, or list indicating the per-dimension paddings.

  • -
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9c00>) – Initializer for the weights. Default is GlorotUniform.

  • -
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9ba0>) – Initializer for the bias. Default is Zeros.

  • +
  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e860>) – Initializer for the weights. Default is GlorotUniform.

  • +
  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e8c0>) – Initializer for the bias. Default is Zeros.

  • with_bias (default: True) – Whether or not to include a bias term, default is True.

  • data_format (default: 'NHWC') – NHWC” or “NCHW”. Defaults to “NHWC”.

  • dilations (default: 1) – The dilation factor for each dimension of input. (Default value = 1)

  • @@ -1918,7 +1918,7 @@
    • input_channels – Number of input channels for the layer

    • output_channels – Number of output channels for the layer

    • -
    • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd99c0>) – Initializer for the weights. Default is GlorotUniform.

    • +
    • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10eaa0>) – Initializer for the weights. Default is GlorotUniform.

    • num_layers (default: 1) – Number of lstm cells in the lstm layer, default is 1.

    • return_sequence (default: True) – Whether or not to return the entire output sequence, or just the latest timestep. @@ -1977,8 +1977,8 @@

      • input_channels – Number of input channels for the layer.

      • output_channels – Number of output channels for the layer.

      • -
      • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f7694dd9fc0>) – Initializer for the weights. Default is GlorotUniform.

      • -
      • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f7694dd9f60>) – Initializer for the bias. Default is Zeros.

      • +
      • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7f77ee10e4a0>) – Initializer for the weights. Default is GlorotUniform.

      • +
      • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7f77ee10e500>) – Initializer for the bias. Default is Zeros.

      • with_bias (default: True) – Whether or not to include a bias term, default is True.

      • device (default: None) – device on which to create the layer’s variables ‘cuda:0’, ‘cuda:1’, ‘cpu’ etc. Default is cpu.

      • diff --git a/ivy/searchindex.js b/ivy/searchindex.js index 4bb1f9d334..4b3edffbdb 100644 --- a/ivy/searchindex.js +++ b/ivy/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["demos/README", "demos/assets/01_template", "demos/examples_and_demos", "demos/examples_and_demos/alexnet_demo", "demos/examples_and_demos/bert_demo", "demos/examples_and_demos/image_segmentation_with_ivy_unet", "demos/examples_and_demos/mmpretrain_to_jax", "demos/examples_and_demos/resnet_demo", "demos/examples_and_demos/torch_to_jax", "demos/examples_and_demos/xgboost_demo", "demos/guides", "demos/guides/01_transpiling_a_torch_model", "demos/guides/02_transpiling_a_haiku_model", "demos/guides/03_transpiling_a_tf_model", "demos/guides/04_developing_a_convnet_with_ivy", "demos/index", "demos/learn_the_basics", "demos/learn_the_basics/01_write_ivy_code", "demos/learn_the_basics/02_unify_code", "demos/learn_the_basics/03_trace_code", "demos/learn_the_basics/04_transpile_code", "demos/learn_the_basics/05_lazy_vs_eager", "demos/learn_the_basics/06_how_to_use_decorators", "demos/learn_the_basics/07_transpile_any_library", "demos/learn_the_basics/08_transpile_any_model", "demos/learn_the_basics/09_write_a_model_using_ivy", "demos/misc/odsc", "demos/quickstart", "demos/wip/0_building_blocks/0_0_unify", "demos/wip/0_building_blocks/0_1_compile", "demos/wip/0_building_blocks/0_2_transpile", "demos/wip/1_the_basics/1_0_lazy_vs_eager", "demos/wip/1_the_basics/1_1_framework_selection", "demos/wip/1_the_basics/1_2_as_a_decorator", "demos/wip/1_the_basics/1_3_dynamic_vs_static", "demos/wip/2_libraries/2_0_kornia", "demos/wip/3_models/3_0_perceiver", "demos/wip/3_models/3_1_stable_diffusion", "demos/wip/basic_operations_with_ivy", "demos/wip/compilation_of_a_basic_function", "demos/wip/deepmind_perceiver_io", "demos/wip/deepmind_perceiverio", "demos/wip/end_to_end_training_pipeline_in_ivy", "demos/wip/hf_tensorflow_deit", "demos/wip/ivy_as_a_transpiler_intro", "demos/wip/resnet_18", "docs/data_classes/data_classes/array/ivy.data_classes.array.activations", "docs/data_classes/data_classes/array/ivy.data_classes.array.conversions", "docs/data_classes/data_classes/array/ivy.data_classes.array.creation", "docs/data_classes/data_classes/array/ivy.data_classes.array.data_type", "docs/data_classes/data_classes/array/ivy.data_classes.array.device", "docs/data_classes/data_classes/array/ivy.data_classes.array.elementwise", "docs/data_classes/data_classes/array/ivy.data_classes.array.experimental", "docs/data_classes/data_classes/array/ivy.data_classes.array.general", "docs/data_classes/data_classes/array/ivy.data_classes.array.gradients", "docs/data_classes/data_classes/array/ivy.data_classes.array.image", "docs/data_classes/data_classes/array/ivy.data_classes.array.layers", "docs/data_classes/data_classes/array/ivy.data_classes.array.linear_algebra", "docs/data_classes/data_classes/array/ivy.data_classes.array.losses", "docs/data_classes/data_classes/array/ivy.data_classes.array.manipulation", "docs/data_classes/data_classes/array/ivy.data_classes.array.norms", "docs/data_classes/data_classes/array/ivy.data_classes.array.random", "docs/data_classes/data_classes/array/ivy.data_classes.array.searching", "docs/data_classes/data_classes/array/ivy.data_classes.array.set", "docs/data_classes/data_classes/array/ivy.data_classes.array.sorting", "docs/data_classes/data_classes/array/ivy.data_classes.array.statistical", "docs/data_classes/data_classes/array/ivy.data_classes.array.utility", "docs/data_classes/data_classes/array/ivy.data_classes.array.wrapping", "docs/data_classes/data_classes/container/ivy.data_classes.container.activations", "docs/data_classes/data_classes/container/ivy.data_classes.container.base", "docs/data_classes/data_classes/container/ivy.data_classes.container.conversions", "docs/data_classes/data_classes/container/ivy.data_classes.container.creation", "docs/data_classes/data_classes/container/ivy.data_classes.container.data_type", "docs/data_classes/data_classes/container/ivy.data_classes.container.device", "docs/data_classes/data_classes/container/ivy.data_classes.container.elementwise", "docs/data_classes/data_classes/container/ivy.data_classes.container.experimental", "docs/data_classes/data_classes/container/ivy.data_classes.container.general", "docs/data_classes/data_classes/container/ivy.data_classes.container.gradients", "docs/data_classes/data_classes/container/ivy.data_classes.container.image", "docs/data_classes/data_classes/container/ivy.data_classes.container.layers", "docs/data_classes/data_classes/container/ivy.data_classes.container.linear_algebra", "docs/data_classes/data_classes/container/ivy.data_classes.container.losses", "docs/data_classes/data_classes/container/ivy.data_classes.container.manipulation", "docs/data_classes/data_classes/container/ivy.data_classes.container.norms", "docs/data_classes/data_classes/container/ivy.data_classes.container.random", "docs/data_classes/data_classes/container/ivy.data_classes.container.searching", "docs/data_classes/data_classes/container/ivy.data_classes.container.set", "docs/data_classes/data_classes/container/ivy.data_classes.container.sorting", "docs/data_classes/data_classes/container/ivy.data_classes.container.statistical", "docs/data_classes/data_classes/container/ivy.data_classes.container.utility", "docs/data_classes/data_classes/container/ivy.data_classes.container.wrapping", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.base", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.parafac2_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tr_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tucker_tensor", "docs/data_classes/data_classes/ivy.data_classes.array", "docs/data_classes/data_classes/ivy.data_classes.container", "docs/data_classes/data_classes/ivy.data_classes.factorized_tensor", "docs/data_classes/data_classes/ivy.data_classes.nested_array", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.base", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.elementwise", "docs/data_classes/ivy.data_classes", "docs/functional/ivy.functional.ivy", "docs/functional/ivy/activations/ivy.functional.ivy.activations.gelu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.hardswish", "docs/functional/ivy/activations/ivy.functional.ivy.activations.leaky_relu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.log_softmax", "docs/functional/ivy/activations/ivy.functional.ivy.activations.mish", "docs/functional/ivy/activations/ivy.functional.ivy.activations.relu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.sigmoid", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softmax", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softplus", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softsign", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_is", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_isnot", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.for_loop", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.if_else", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.try_except", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.while_loop", "docs/functional/ivy/creation/ivy.functional.ivy.creation.arange", "docs/functional/ivy/creation/ivy.functional.ivy.creation.array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.asarray", "docs/functional/ivy/creation/ivy.functional.ivy.creation.copy_array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.eye", "docs/functional/ivy/creation/ivy.functional.ivy.creation.from_dlpack", "docs/functional/ivy/creation/ivy.functional.ivy.creation.frombuffer", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.linspace", "docs/functional/ivy/creation/ivy.functional.ivy.creation.logspace", "docs/functional/ivy/creation/ivy.functional.ivy.creation.meshgrid", "docs/functional/ivy/creation/ivy.functional.ivy.creation.native_array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.one_hot", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.to_dlpack", "docs/functional/ivy/creation/ivy.functional.ivy.creation.tril", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu_indices", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros_like", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_ivy_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_native_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.astype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_arrays", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_to", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.can_cast", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.check_float", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.closest_valid_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype_bits", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.finfo", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_supported_dtypes", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_unsupported_dtypes", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.iinfo", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.infer_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.invalid_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_bool_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_hashable_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_native_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types_of_inputs", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.result_type", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.type_promote_arrays", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.valid_dtype", "docs/functional/ivy/device/ivy.functional.ivy.device.as_ivy_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.as_native_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.clear_cached_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.dev", "docs/functional/ivy/device/ivy.functional.ivy.device.dev_util", "docs/functional/ivy/device/ivy.functional.ivy.device.function_supported_devices", "docs/functional/ivy/device/ivy.functional.ivy.device.function_unsupported_devices", "docs/functional/ivy/device/ivy.functional.ivy.device.get_all_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.gpu_is_available", "docs/functional/ivy/device/ivy.functional.ivy.device.handle_soft_device_variable", "docs/functional/ivy/device/ivy.functional.ivy.device.num_cpu_cores", "docs/functional/ivy/device/ivy.functional.ivy.device.num_gpus", "docs/functional/ivy/device/ivy.functional.ivy.device.num_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.percent_used_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.print_all_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.set_default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.set_soft_device_mode", "docs/functional/ivy/device/ivy.functional.ivy.device.set_split_factor", "docs/functional/ivy/device/ivy.functional.ivy.device.split_factor", "docs/functional/ivy/device/ivy.functional.ivy.device.split_func_call", "docs/functional/ivy/device/ivy.functional.ivy.device.to_device", "docs/functional/ivy/device/ivy.functional.ivy.device.total_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.tpu_is_available", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_soft_device_mode", "docs/functional/ivy/device/ivy.functional.ivy.device.used_mem_on_dev", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.abs", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acos", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acosh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.add", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.angle", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asinh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atanh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_and", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_invert", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_left_shift", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_or", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_right_shift", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_xor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.ceil", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cos", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cosh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.deg2rad", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.divide", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.erf", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.expm1", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor_divide", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmod", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.gcd", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.imag", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isfinite", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isinf", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isnan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isreal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.lcm", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log10", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log1p", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_and", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_not", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_or", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_xor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.maximum", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.minimum", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.multiply", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.nan_to_num", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.negative", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.not_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.positive", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.pow", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.rad2deg", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.real", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.reciprocal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.remainder", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.round", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sign", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sinh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sqrt", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.square", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.subtract", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tanh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trapz", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc_divide", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.celu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.elu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardtanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logit", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logsigmoid", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.prelu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.relu6", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.scaled_tanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.selu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.silu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.softshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.stanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.tanhshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.threshold", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.thresholded_relu", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.blackman_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.eye_like", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hamming_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hann_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.indices", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_bessel_derived_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.mel_weight_matrix", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndenumerate", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndindex", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.polyval", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_cp", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_parafac2", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tr", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tt", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tucker", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.tril_indices", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.trilu", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_mean", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_min", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_sum", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.vorbis_window", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.allclose", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amax", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amin", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.binarizer", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.conj", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.copysign", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.count_nonzero", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.diff", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.digamma", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.erfc", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fix", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.float_power", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fmax", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.frexp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.gradient", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.hypot", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.isclose", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.ldexp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lerp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lgamma", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.modf", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nansum", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nextafter", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.signbit", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sinc", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sparsify_tensor", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.xlogy", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.zeta", "docs/functional/ivy/experimental/general/ivy.functional.ivy.experimental.general.reduce", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.bind_custom_gradient_function", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.jvp", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.vjp", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.activations", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.constants", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.creation", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.data_type", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.device", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.elementwise", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.general", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.gradients", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.losses", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.manipulation", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.meta", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.nest", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.norms", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.random", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.searching", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.set", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sorting", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sparse_array", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.statistical", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.utility", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_max_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.area_interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dct", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.embedding", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft2", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.generate_einsum_equation", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.get_interpolate_kernel", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.idct", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifftn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interp", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_unpool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.nearest_interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.pool", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.reduce_window", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfftn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rnn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.sliding_window", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.stft", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.adjoint", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.batched_outer", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.cond", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.diagflat", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eig", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigh_tridiagonal", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigvals", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.general_inner_product", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.higher_order_moment", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.initialize_tucker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.khatri_rao", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kron", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kronecker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.make_svd_non_negative", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.matrix_exp", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.mode_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.partial_tucker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.solve_triangular", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.svd_flip", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tensor_train", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.truncated_svd", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tt_matrix_to_tensor", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tucker", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.huber_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.kl_div", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.l1_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.log_poisson_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.poisson_nll_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.smooth_l1_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.soft_margin_loss", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.as_strided", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.associative_scan", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_1d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_2d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_3d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.broadcast_shapes", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.check_scalar", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.choose", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.column_stack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.concat_from_sequence", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dstack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.expand", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fill_diagonal", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flatten", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fliplr", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flipud", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.heaviside", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hstack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.i0", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.matricize", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.moveaxis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.pad", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_fold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_tensor_to_vec", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_unfold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_vec_to_tensor", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.put_along_axis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.rot90", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.soft_thresholding", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take_along_axis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.top_k", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.trim_zeros", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unfold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unique_consecutive", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vstack", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.batch_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.group_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.instance_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l1_normalize", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l2_normalize", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.local_response_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.lp_normalize", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.bernoulli", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.beta", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.dirichlet", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.gamma", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.poisson", "docs/functional/ivy/experimental/searching/ivy.functional.ivy.experimental.searching.unravel_index", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.invert_permutation", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.lexsort", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_ivy_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_native_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array_to_indices_values_and_shape", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.bincount", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.corrcoef", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cov", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummax", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummin", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.histogram", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.igamma", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.median", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmean", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmedian", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmin", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanprod", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.quantile", "docs/functional/ivy/experimental/utility/ivy.functional.ivy.experimental.utility.optional_get_element", "docs/functional/ivy/general/ivy.functional.ivy.general.all_equal", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_info", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_names", "docs/functional/ivy/general/ivy.functional.ivy.general.array_equal", "docs/functional/ivy/general/ivy.functional.ivy.general.assert_supports_inplace", "docs/functional/ivy/general/ivy.functional.ivy.general.cache_fn", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_matrix_norm", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_vector_norm", "docs/functional/ivy/general/ivy.functional.ivy.general.container_types", "docs/functional/ivy/general/ivy.functional.ivy.general.current_backend_str", "docs/functional/ivy/general/ivy.functional.ivy.general.default", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_rearrange", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_reduce", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_repeat", "docs/functional/ivy/general/ivy.functional.ivy.general.exists", "docs/functional/ivy/general/ivy.functional.ivy.general.fourier_encode", "docs/functional/ivy/general/ivy.functional.ivy.general.function_supported_devices_and_dtypes", "docs/functional/ivy/general/ivy.functional.ivy.general.function_unsupported_devices_and_dtypes", "docs/functional/ivy/general/ivy.functional.ivy.general.gather", "docs/functional/ivy/general/ivy.functional.ivy.general.gather_nd", "docs/functional/ivy/general/ivy.functional.ivy.general.get_all_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.get_item", "docs/functional/ivy/general/ivy.functional.ivy.general.get_num_dims", "docs/functional/ivy/general/ivy.functional.ivy.general.get_referrers_recursive", "docs/functional/ivy/general/ivy.functional.ivy.general.has_nans", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_arrays_supported", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_decrement", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_increment", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_update", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_variables_supported", "docs/functional/ivy/general/ivy.functional.ivy.general.is_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_container", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_nested_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_native_array", "docs/functional/ivy/general/ivy.functional.ivy.general.isin", "docs/functional/ivy/general/ivy.functional.ivy.general.isscalar", "docs/functional/ivy/general/ivy.functional.ivy.general.itemsize", "docs/functional/ivy/general/ivy.functional.ivy.general.match_kwargs", "docs/functional/ivy/general/ivy.functional.ivy.general.multiprocessing", "docs/functional/ivy/general/ivy.functional.ivy.general.num_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.print_all_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_flat", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_nd", "docs/functional/ivy/general/ivy.functional.ivy.general.set_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_exception_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_inplace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_item", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_base", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_denominator", "docs/functional/ivy/general/ivy.functional.ivy.general.set_nestable_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_precise_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_queue_timeout", "docs/functional/ivy/general/ivy.functional.ivy.general.set_shape_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_show_func_wrapper_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_tmp_dir", "docs/functional/ivy/general/ivy.functional.ivy.general.shape", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_divide", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_pow", "docs/functional/ivy/general/ivy.functional.ivy.general.strides", "docs/functional/ivy/general/ivy.functional.ivy.general.supports_inplace_updates", "docs/functional/ivy/general/ivy.functional.ivy.general.to_ivy_shape", "docs/functional/ivy/general/ivy.functional.ivy.general.to_list", "docs/functional/ivy/general/ivy.functional.ivy.general.to_native_shape", "docs/functional/ivy/general/ivy.functional.ivy.general.to_numpy", "docs/functional/ivy/general/ivy.functional.ivy.general.to_scalar", "docs/functional/ivy/general/ivy.functional.ivy.general.try_else_none", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_exception_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_inplace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_base", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_denominator", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_nestable_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_precise_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_queue_timeout", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_shape_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_show_func_wrapper_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_tmp_dir", "docs/functional/ivy/general/ivy.functional.ivy.general.value_is_nan", "docs/functional/ivy/general/ivy.functional.ivy.general.vmap", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_step", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.execute_with_gradients", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.grad", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.gradient_descent_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.jac", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lamb_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lars_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.optimizer_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.stop_gradient", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.value_and_grad", "docs/functional/ivy/ivy.functional.ivy.activations", "docs/functional/ivy/ivy.functional.ivy.constants", "docs/functional/ivy/ivy.functional.ivy.control_flow_ops", "docs/functional/ivy/ivy.functional.ivy.creation", "docs/functional/ivy/ivy.functional.ivy.data_type", "docs/functional/ivy/ivy.functional.ivy.device", "docs/functional/ivy/ivy.functional.ivy.elementwise", "docs/functional/ivy/ivy.functional.ivy.experimental", "docs/functional/ivy/ivy.functional.ivy.general", "docs/functional/ivy/ivy.functional.ivy.gradients", "docs/functional/ivy/ivy.functional.ivy.layers", "docs/functional/ivy/ivy.functional.ivy.linear_algebra", "docs/functional/ivy/ivy.functional.ivy.losses", "docs/functional/ivy/ivy.functional.ivy.manipulation", "docs/functional/ivy/ivy.functional.ivy.meta", "docs/functional/ivy/ivy.functional.ivy.nest", "docs/functional/ivy/ivy.functional.ivy.norms", "docs/functional/ivy/ivy.functional.ivy.random", "docs/functional/ivy/ivy.functional.ivy.searching", "docs/functional/ivy/ivy.functional.ivy.set", "docs/functional/ivy/ivy.functional.ivy.sorting", "docs/functional/ivy/ivy.functional.ivy.statistical", "docs/functional/ivy/ivy.functional.ivy.utility", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_dilated", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.depthwise_conv2d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.dropout", "docs/functional/ivy/layers/ivy.functional.ivy.layers.linear", "docs/functional/ivy/layers/ivy.functional.ivy.layers.lstm_update", "docs/functional/ivy/layers/ivy.functional.ivy.layers.multi_head_attention", "docs/functional/ivy/layers/ivy.functional.ivy.layers.nms", "docs/functional/ivy/layers/ivy.functional.ivy.layers.roi_align", "docs/functional/ivy/layers/ivy.functional.ivy.layers.scaled_dot_product_attention", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cholesky", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cross", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.det", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diag", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diagonal", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eig", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigh", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigvalsh", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inner", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inv", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.lu_factor", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matmul", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_norm", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_power", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_rank", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_transpose", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.outer", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.pinv", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.qr", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.slogdet", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.solve", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svd", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svdvals", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensordot", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensorsolve", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.trace", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vander", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vecdot", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_norm", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_to_skew_symmetric_matrix", "docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy", "docs/functional/ivy/losses/ivy.functional.ivy.losses.cross_entropy", "docs/functional/ivy/losses/ivy.functional.ivy.losses.sparse_cross_entropy", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.clip", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.concat", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.constant_pad", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.expand_dims", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.flip", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.permute_dims", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.repeat", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.reshape", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.roll", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.split", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.squeeze", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.stack", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.swapaxes", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.tile", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.unstack", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.zero_pad", "docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step", "docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step", "docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step", "docs/functional/ivy/nest/ivy.functional.ivy.nest.all_nested_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.copy_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.duplicate_array_index_chains", "docs/functional/ivy/nest/ivy.functional.ivy.nest.index_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.multi_index_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_any", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_argwhere", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_multi_map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_empty", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_indices", "docs/functional/ivy/norms/ivy.functional.ivy.norms.layer_norm", "docs/functional/ivy/random/ivy.functional.ivy.random.multinomial", "docs/functional/ivy/random/ivy.functional.ivy.random.randint", "docs/functional/ivy/random/ivy.functional.ivy.random.random_normal", "docs/functional/ivy/random/ivy.functional.ivy.random.random_uniform", "docs/functional/ivy/random/ivy.functional.ivy.random.seed", "docs/functional/ivy/random/ivy.functional.ivy.random.shuffle", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmax", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmin", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argwhere", "docs/functional/ivy/searching/ivy.functional.ivy.searching.nonzero", "docs/functional/ivy/searching/ivy.functional.ivy.searching.where", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_all", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_counts", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_inverse", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_values", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.argsort", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.msort", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.searchsorted", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.sort", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumprod", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumsum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.einsum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.max", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.mean", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.min", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.prod", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.std", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.sum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.var", "docs/functional/ivy/utility/ivy.functional.ivy.utility.all", "docs/functional/ivy/utility/ivy.functional.ivy.utility.any", "docs/functional/ivy/utility/ivy.functional.ivy.utility.load", "docs/functional/ivy/utility/ivy.functional.ivy.utility.save", "docs/helpers/ivy_tests.test_ivy.helpers.assertions", "docs/helpers/ivy_tests.test_ivy.helpers.available_frameworks", "docs/helpers/ivy_tests.test_ivy.helpers.function_testing", "docs/helpers/ivy_tests.test_ivy.helpers.globals", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.multiprocessing", "docs/helpers/ivy_tests.test_ivy.helpers.pipeline_helper", "docs/helpers/ivy_tests.test_ivy.helpers.structs", "docs/helpers/ivy_tests.test_ivy.helpers.test_parameter_flags", "docs/helpers/ivy_tests.test_ivy.helpers.testing_helpers", "docs/ivy.stateful", "docs/ivy.utils", "docs/ivy_tests.test_ivy.helpers", "docs/stateful/ivy.stateful.activations", "docs/stateful/ivy.stateful.converters", "docs/stateful/ivy.stateful.helpers", "docs/stateful/ivy.stateful.initializers", "docs/stateful/ivy.stateful.layers", "docs/stateful/ivy.stateful.losses", "docs/stateful/ivy.stateful.module", "docs/stateful/ivy.stateful.norms", "docs/stateful/ivy.stateful.optimizers", "docs/stateful/ivy.stateful.sequential", "docs/utils/ivy.utils.assertions", "docs/utils/ivy.utils.backend", "docs/utils/ivy.utils.backend/ivy.utils.backend.ast_helpers", "docs/utils/ivy.utils.backend/ivy.utils.backend.handler", "docs/utils/ivy.utils.backend/ivy.utils.backend.sub_backend_handler", "docs/utils/ivy.utils.binaries", "docs/utils/ivy.utils.dynamic_import", "docs/utils/ivy.utils.einsum_parser", "docs/utils/ivy.utils.einsum_path_helpers", "docs/utils/ivy.utils.exceptions", "docs/utils/ivy.utils.inspection", "docs/utils/ivy.utils.logging", "docs/utils/ivy.utils.profiler", "docs/utils/ivy.utils.verbosity", "index", "overview/contributing", "overview/contributing/building_the_docs", "overview/contributing/error_handling", "overview/contributing/helpful_resources", "overview/contributing/open_tasks", "overview/contributing/setting_up", "overview/contributing/the_basics", "overview/deep_dive", "overview/deep_dive/array_api_tests", "overview/deep_dive/arrays", "overview/deep_dive/backend_setting", "overview/deep_dive/building_the_docs_pipeline", "overview/deep_dive/containers", "overview/deep_dive/continuous_integration", "overview/deep_dive/data_types", "overview/deep_dive/devices", "overview/deep_dive/docstring_examples", "overview/deep_dive/docstrings", "overview/deep_dive/exception_handling", "overview/deep_dive/fix_failing_tests", "overview/deep_dive/formatting", "overview/deep_dive/function_arguments", "overview/deep_dive/function_types", "overview/deep_dive/function_wrapping", "overview/deep_dive/gradients", "overview/deep_dive/inplace_updates", "overview/deep_dive/ivy_frontends", "overview/deep_dive/ivy_frontends_tests", "overview/deep_dive/ivy_lint", "overview/deep_dive/ivy_tests", "overview/deep_dive/navigating_the_code", "overview/deep_dive/operating_modes", "overview/deep_dive/superset_behaviour", "overview/design", "overview/design/building_blocks", "overview/design/ivy_as_a_framework", "overview/design/ivy_as_a_framework/ivy_array", "overview/design/ivy_as_a_framework/ivy_container", "overview/design/ivy_as_a_framework/ivy_stateful_api", "overview/design/ivy_as_a_transpiler", "overview/faq", "overview/get_started", "overview/glossary", "overview/motivation", "overview/motivation/ml_explosion", "overview/motivation/standardization", "overview/motivation/why_unify", "overview/one_liners", "overview/one_liners/trace", "overview/one_liners/transpile", "overview/one_liners/unify", "overview/related_work", "overview/related_work/api_standards", "overview/related_work/compiler_infrastructure", "overview/related_work/exchange_formats", "overview/related_work/frameworks", "overview/related_work/graph_tracers", "overview/related_work/ml_unifying_companies", "overview/related_work/multi_vendor_compiler_frameworks", "overview/related_work/vendor_specific_apis", "overview/related_work/vendor_specific_compilers", "overview/related_work/what_does_ivy_add", "overview/related_work/wrapper_frameworks"], "filenames": ["demos/README.md", "demos/assets/01_template.ipynb", "demos/examples_and_demos.rst", "demos/examples_and_demos/alexnet_demo.ipynb", "demos/examples_and_demos/bert_demo.ipynb", "demos/examples_and_demos/image_segmentation_with_ivy_unet.ipynb", "demos/examples_and_demos/mmpretrain_to_jax.ipynb", "demos/examples_and_demos/resnet_demo.ipynb", "demos/examples_and_demos/torch_to_jax.ipynb", "demos/examples_and_demos/xgboost_demo.ipynb", "demos/guides.rst", "demos/guides/01_transpiling_a_torch_model.ipynb", "demos/guides/02_transpiling_a_haiku_model.ipynb", "demos/guides/03_transpiling_a_tf_model.ipynb", "demos/guides/04_developing_a_convnet_with_ivy.ipynb", "demos/index.rst", "demos/learn_the_basics.rst", "demos/learn_the_basics/01_write_ivy_code.ipynb", "demos/learn_the_basics/02_unify_code.ipynb", "demos/learn_the_basics/03_trace_code.ipynb", "demos/learn_the_basics/04_transpile_code.ipynb", "demos/learn_the_basics/05_lazy_vs_eager.ipynb", "demos/learn_the_basics/06_how_to_use_decorators.ipynb", "demos/learn_the_basics/07_transpile_any_library.ipynb", "demos/learn_the_basics/08_transpile_any_model.ipynb", "demos/learn_the_basics/09_write_a_model_using_ivy.ipynb", "demos/misc/odsc.ipynb", "demos/quickstart.ipynb", "demos/wip/0_building_blocks/0_0_unify.ipynb", "demos/wip/0_building_blocks/0_1_compile.ipynb", "demos/wip/0_building_blocks/0_2_transpile.ipynb", "demos/wip/1_the_basics/1_0_lazy_vs_eager.ipynb", "demos/wip/1_the_basics/1_1_framework_selection.ipynb", "demos/wip/1_the_basics/1_2_as_a_decorator.ipynb", "demos/wip/1_the_basics/1_3_dynamic_vs_static.ipynb", "demos/wip/2_libraries/2_0_kornia.ipynb", "demos/wip/3_models/3_0_perceiver.ipynb", "demos/wip/3_models/3_1_stable_diffusion.ipynb", "demos/wip/basic_operations_with_ivy.ipynb", "demos/wip/compilation_of_a_basic_function.ipynb", "demos/wip/deepmind_perceiver_io.ipynb", "demos/wip/deepmind_perceiverio.ipynb", "demos/wip/end_to_end_training_pipeline_in_ivy.ipynb", "demos/wip/hf_tensorflow_deit.ipynb", "demos/wip/ivy_as_a_transpiler_intro.ipynb", "demos/wip/resnet_18.ipynb", "docs/data_classes/data_classes/array/ivy.data_classes.array.activations.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.conversions.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.creation.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.data_type.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.device.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.elementwise.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.experimental.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.general.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.gradients.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.image.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.layers.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.linear_algebra.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.losses.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.manipulation.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.norms.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.random.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.searching.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.set.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.sorting.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.statistical.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.utility.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.wrapping.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.activations.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.base.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.conversions.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.creation.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.data_type.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.device.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.elementwise.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.experimental.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.general.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.gradients.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.image.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.layers.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.linear_algebra.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.losses.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.manipulation.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.norms.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.random.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.searching.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.set.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.sorting.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.statistical.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.utility.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.wrapping.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.base.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.parafac2_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tr_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tucker_tensor.rst", "docs/data_classes/data_classes/ivy.data_classes.array.rst", "docs/data_classes/data_classes/ivy.data_classes.container.rst", "docs/data_classes/data_classes/ivy.data_classes.factorized_tensor.rst", "docs/data_classes/data_classes/ivy.data_classes.nested_array.rst", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.base.rst", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.elementwise.rst", "docs/data_classes/ivy.data_classes.rst", "docs/functional/ivy.functional.ivy.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.gelu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.hardswish.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.leaky_relu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.log_softmax.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.mish.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.relu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.sigmoid.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softmax.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softplus.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softsign.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_is.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_isnot.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.for_loop.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.if_else.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.try_except.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.while_loop.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.arange.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.asarray.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.copy_array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.eye.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.from_dlpack.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.frombuffer.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.linspace.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.logspace.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.meshgrid.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.native_array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.one_hot.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.to_dlpack.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.tril.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu_indices.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros_like.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_ivy_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_native_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.astype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_arrays.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_to.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.can_cast.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.check_float.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.closest_valid_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype_bits.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.finfo.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_supported_dtypes.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_unsupported_dtypes.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.iinfo.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.infer_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.invalid_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_bool_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_hashable_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_native_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types_of_inputs.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.result_type.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.type_promote_arrays.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.valid_dtype.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.as_ivy_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.as_native_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.clear_cached_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.dev_util.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.function_supported_devices.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.function_unsupported_devices.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.get_all_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.gpu_is_available.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.handle_soft_device_variable.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_cpu_cores.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_gpus.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.percent_used_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.print_all_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_soft_device_mode.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_split_factor.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.split_factor.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.split_func_call.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.to_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.total_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.tpu_is_available.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_soft_device_mode.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.used_mem_on_dev.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.abs.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acos.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acosh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.add.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.angle.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asinh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atanh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_and.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_invert.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_left_shift.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_or.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_right_shift.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_xor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.ceil.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cos.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cosh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.deg2rad.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.divide.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.erf.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.expm1.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor_divide.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmod.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.gcd.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.imag.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isfinite.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isinf.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isnan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isreal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.lcm.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log10.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log1p.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_and.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_not.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_or.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_xor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.maximum.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.minimum.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.multiply.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.nan_to_num.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.negative.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.not_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.positive.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.pow.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.rad2deg.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.real.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.reciprocal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.remainder.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.round.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sign.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sinh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sqrt.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.square.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.subtract.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tanh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trapz.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc_divide.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.celu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.elu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardtanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logit.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logsigmoid.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.prelu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.relu6.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.scaled_tanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.selu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.silu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.softshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.stanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.tanhshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.threshold.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.thresholded_relu.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.blackman_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.eye_like.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hamming_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hann_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.indices.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_bessel_derived_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.mel_weight_matrix.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndenumerate.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndindex.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.polyval.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_cp.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_parafac2.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tr.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tt.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tucker.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.tril_indices.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.trilu.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_mean.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_min.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_sum.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.vorbis_window.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.allclose.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amax.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amin.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.binarizer.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.conj.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.copysign.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.count_nonzero.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.diff.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.digamma.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.erfc.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fix.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.float_power.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fmax.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.frexp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.gradient.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.hypot.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.isclose.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.ldexp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lerp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lgamma.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.modf.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nansum.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nextafter.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.signbit.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sinc.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sparsify_tensor.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.xlogy.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.zeta.rst", "docs/functional/ivy/experimental/general/ivy.functional.ivy.experimental.general.reduce.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.bind_custom_gradient_function.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.jvp.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.vjp.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.activations.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.constants.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.creation.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.data_type.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.device.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.elementwise.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.general.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.gradients.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.losses.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.manipulation.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.meta.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.nest.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.norms.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.random.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.searching.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.set.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sorting.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sparse_array.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.statistical.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.utility.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_max_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.area_interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dct.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.embedding.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft2.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.generate_einsum_equation.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.get_interpolate_kernel.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.idct.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifftn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interp.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_unpool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.nearest_interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.pool.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.reduce_window.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfftn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rnn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.sliding_window.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.stft.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.adjoint.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.batched_outer.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.cond.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.diagflat.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eig.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigh_tridiagonal.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigvals.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.general_inner_product.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.higher_order_moment.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.initialize_tucker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.khatri_rao.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kron.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kronecker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.make_svd_non_negative.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.matrix_exp.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.mode_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.partial_tucker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.solve_triangular.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.svd_flip.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tensor_train.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.truncated_svd.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tt_matrix_to_tensor.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tucker.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.huber_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.kl_div.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.l1_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.log_poisson_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.poisson_nll_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.smooth_l1_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.soft_margin_loss.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.as_strided.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.associative_scan.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_1d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_2d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_3d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.broadcast_shapes.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.check_scalar.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.choose.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.column_stack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.concat_from_sequence.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dstack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.expand.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fill_diagonal.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flatten.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fliplr.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flipud.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.heaviside.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hstack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.i0.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.matricize.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.moveaxis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.pad.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_fold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_tensor_to_vec.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_unfold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_vec_to_tensor.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.put_along_axis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.rot90.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.soft_thresholding.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take_along_axis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.top_k.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.trim_zeros.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unfold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unique_consecutive.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vstack.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.batch_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.group_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.instance_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l1_normalize.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l2_normalize.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.local_response_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.lp_normalize.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.bernoulli.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.beta.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.dirichlet.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.gamma.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.poisson.rst", "docs/functional/ivy/experimental/searching/ivy.functional.ivy.experimental.searching.unravel_index.rst", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.invert_permutation.rst", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.lexsort.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_ivy_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_native_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array_to_indices_values_and_shape.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.bincount.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.corrcoef.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cov.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummax.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummin.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.histogram.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.igamma.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.median.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmean.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmedian.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmin.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanprod.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.quantile.rst", "docs/functional/ivy/experimental/utility/ivy.functional.ivy.experimental.utility.optional_get_element.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.all_equal.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_info.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_names.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.array_equal.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.assert_supports_inplace.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.cache_fn.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_matrix_norm.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_vector_norm.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.container_types.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.current_backend_str.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.default.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_rearrange.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_reduce.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_repeat.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.exists.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.fourier_encode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.function_supported_devices_and_dtypes.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.function_unsupported_devices_and_dtypes.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.gather.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.gather_nd.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_all_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_item.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_num_dims.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_referrers_recursive.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.has_nans.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_arrays_supported.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_decrement.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_increment.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_update.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_variables_supported.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_container.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_nested_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_native_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.isin.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.isscalar.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.itemsize.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.match_kwargs.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.multiprocessing.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.num_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.print_all_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_flat.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_nd.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_exception_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_inplace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_item.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_base.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_denominator.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_nestable_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_precise_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_queue_timeout.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_shape_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_show_func_wrapper_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_tmp_dir.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_divide.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_pow.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.strides.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.supports_inplace_updates.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_ivy_shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_list.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_native_shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_numpy.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_scalar.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.try_else_none.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_exception_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_inplace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_base.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_denominator.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_nestable_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_precise_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_queue_timeout.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_shape_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_show_func_wrapper_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_tmp_dir.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.value_is_nan.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.vmap.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_step.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.execute_with_gradients.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.grad.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.gradient_descent_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.jac.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lamb_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lars_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.optimizer_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.stop_gradient.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.value_and_grad.rst", "docs/functional/ivy/ivy.functional.ivy.activations.rst", "docs/functional/ivy/ivy.functional.ivy.constants.rst", "docs/functional/ivy/ivy.functional.ivy.control_flow_ops.rst", "docs/functional/ivy/ivy.functional.ivy.creation.rst", "docs/functional/ivy/ivy.functional.ivy.data_type.rst", "docs/functional/ivy/ivy.functional.ivy.device.rst", "docs/functional/ivy/ivy.functional.ivy.elementwise.rst", "docs/functional/ivy/ivy.functional.ivy.experimental.rst", "docs/functional/ivy/ivy.functional.ivy.general.rst", "docs/functional/ivy/ivy.functional.ivy.gradients.rst", "docs/functional/ivy/ivy.functional.ivy.layers.rst", "docs/functional/ivy/ivy.functional.ivy.linear_algebra.rst", "docs/functional/ivy/ivy.functional.ivy.losses.rst", "docs/functional/ivy/ivy.functional.ivy.manipulation.rst", "docs/functional/ivy/ivy.functional.ivy.meta.rst", "docs/functional/ivy/ivy.functional.ivy.nest.rst", "docs/functional/ivy/ivy.functional.ivy.norms.rst", "docs/functional/ivy/ivy.functional.ivy.random.rst", "docs/functional/ivy/ivy.functional.ivy.searching.rst", "docs/functional/ivy/ivy.functional.ivy.set.rst", "docs/functional/ivy/ivy.functional.ivy.sorting.rst", "docs/functional/ivy/ivy.functional.ivy.statistical.rst", "docs/functional/ivy/ivy.functional.ivy.utility.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_dilated.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.depthwise_conv2d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.dropout.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.linear.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.lstm_update.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.multi_head_attention.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.nms.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.roi_align.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.scaled_dot_product_attention.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cholesky.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cross.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.det.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diag.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diagonal.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eig.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigh.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigvalsh.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inner.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inv.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.lu_factor.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matmul.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_norm.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_power.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_rank.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_transpose.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.outer.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.pinv.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.qr.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.slogdet.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.solve.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svd.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svdvals.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensordot.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensorsolve.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.trace.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vander.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vecdot.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_norm.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_to_skew_symmetric_matrix.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.cross_entropy.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.sparse_cross_entropy.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.clip.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.concat.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.constant_pad.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.expand_dims.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.flip.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.permute_dims.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.repeat.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.reshape.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.roll.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.split.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.squeeze.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.stack.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.swapaxes.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.tile.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.unstack.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.zero_pad.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.all_nested_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.copy_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.duplicate_array_index_chains.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.index_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.multi_index_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_any.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_argwhere.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_multi_map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_empty.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_indices.rst", "docs/functional/ivy/norms/ivy.functional.ivy.norms.layer_norm.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.multinomial.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.randint.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.random_normal.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.random_uniform.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.seed.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.shuffle.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmax.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmin.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argwhere.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.nonzero.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.where.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_all.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_counts.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_inverse.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_values.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.argsort.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.msort.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.searchsorted.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.sort.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumprod.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumsum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.einsum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.max.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.mean.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.min.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.prod.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.std.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.sum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.var.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.all.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.any.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.load.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.save.rst", "docs/helpers/ivy_tests.test_ivy.helpers.assertions.rst", "docs/helpers/ivy_tests.test_ivy.helpers.available_frameworks.rst", "docs/helpers/ivy_tests.test_ivy.helpers.function_testing.rst", "docs/helpers/ivy_tests.test_ivy.helpers.globals.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.multiprocessing.rst", "docs/helpers/ivy_tests.test_ivy.helpers.pipeline_helper.rst", "docs/helpers/ivy_tests.test_ivy.helpers.structs.rst", "docs/helpers/ivy_tests.test_ivy.helpers.test_parameter_flags.rst", "docs/helpers/ivy_tests.test_ivy.helpers.testing_helpers.rst", "docs/ivy.stateful.rst", "docs/ivy.utils.rst", "docs/ivy_tests.test_ivy.helpers.rst", "docs/stateful/ivy.stateful.activations.rst", "docs/stateful/ivy.stateful.converters.rst", "docs/stateful/ivy.stateful.helpers.rst", "docs/stateful/ivy.stateful.initializers.rst", "docs/stateful/ivy.stateful.layers.rst", "docs/stateful/ivy.stateful.losses.rst", "docs/stateful/ivy.stateful.module.rst", "docs/stateful/ivy.stateful.norms.rst", "docs/stateful/ivy.stateful.optimizers.rst", "docs/stateful/ivy.stateful.sequential.rst", "docs/utils/ivy.utils.assertions.rst", "docs/utils/ivy.utils.backend.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.ast_helpers.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.handler.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.sub_backend_handler.rst", "docs/utils/ivy.utils.binaries.rst", "docs/utils/ivy.utils.dynamic_import.rst", "docs/utils/ivy.utils.einsum_parser.rst", "docs/utils/ivy.utils.einsum_path_helpers.rst", "docs/utils/ivy.utils.exceptions.rst", "docs/utils/ivy.utils.inspection.rst", "docs/utils/ivy.utils.logging.rst", "docs/utils/ivy.utils.profiler.rst", "docs/utils/ivy.utils.verbosity.rst", "index.rst", "overview/contributing.rst", "overview/contributing/building_the_docs.rst", "overview/contributing/error_handling.rst", "overview/contributing/helpful_resources.rst", "overview/contributing/open_tasks.rst", "overview/contributing/setting_up.rst", "overview/contributing/the_basics.rst", "overview/deep_dive.rst", "overview/deep_dive/array_api_tests.rst", "overview/deep_dive/arrays.rst", "overview/deep_dive/backend_setting.rst", "overview/deep_dive/building_the_docs_pipeline.rst", "overview/deep_dive/containers.rst", "overview/deep_dive/continuous_integration.rst", "overview/deep_dive/data_types.rst", "overview/deep_dive/devices.rst", "overview/deep_dive/docstring_examples.rst", "overview/deep_dive/docstrings.rst", "overview/deep_dive/exception_handling.rst", "overview/deep_dive/fix_failing_tests.rst", "overview/deep_dive/formatting.rst", "overview/deep_dive/function_arguments.rst", "overview/deep_dive/function_types.rst", "overview/deep_dive/function_wrapping.rst", "overview/deep_dive/gradients.rst", "overview/deep_dive/inplace_updates.rst", "overview/deep_dive/ivy_frontends.rst", "overview/deep_dive/ivy_frontends_tests.rst", "overview/deep_dive/ivy_lint.rst", "overview/deep_dive/ivy_tests.rst", "overview/deep_dive/navigating_the_code.rst", "overview/deep_dive/operating_modes.rst", "overview/deep_dive/superset_behaviour.rst", "overview/design.rst", "overview/design/building_blocks.rst", "overview/design/ivy_as_a_framework.rst", "overview/design/ivy_as_a_framework/ivy_array.rst", "overview/design/ivy_as_a_framework/ivy_container.rst", "overview/design/ivy_as_a_framework/ivy_stateful_api.rst", "overview/design/ivy_as_a_transpiler.rst", "overview/faq.rst", "overview/get_started.rst", "overview/glossary.rst", "overview/motivation.rst", "overview/motivation/ml_explosion.rst", "overview/motivation/standardization.rst", "overview/motivation/why_unify.rst", "overview/one_liners.rst", "overview/one_liners/trace.rst", "overview/one_liners/transpile.rst", "overview/one_liners/unify.rst", "overview/related_work.rst", "overview/related_work/api_standards.rst", "overview/related_work/compiler_infrastructure.rst", "overview/related_work/exchange_formats.rst", "overview/related_work/frameworks.rst", "overview/related_work/graph_tracers.rst", "overview/related_work/ml_unifying_companies.rst", "overview/related_work/multi_vendor_compiler_frameworks.rst", "overview/related_work/vendor_specific_apis.rst", "overview/related_work/vendor_specific_compilers.rst", "overview/related_work/what_does_ivy_add.rst", "overview/related_work/wrapper_frameworks.rst"], "titles": ["Demos", "TO REPLACE: Title", "Examples and Demos", "Ivy AlexNet demo", "# Ivy Bert Demo", "Image Segmentation with Ivy UNet", "Accelerating MMPreTrain models with JAX", "Using Ivy ResNet", "Accelerating PyTorch models with JAX", "Accelerating XGBoost with JAX", "Guides", "Transpiling a PyTorch model to build on top", "Transpiling a haiku model to build on top", "Transpiling a Tensorflow model to build on top", "Developing a convolutional network using Ivy", "Tutorials And Examples", "Learn the basics", "Write Ivy code", "Unify code", "Trace code", "Transpile code", "Lazy vs Eager", "How to use decorators", "Transpile any library", "Transpile any model", "Write a model using Ivy", "ODSC Ivy Demo", "Quickstart", "0.0: Unify", "0.1: Compile", "0.2: Transpile", "1.0: Lazy vs Eager", "1.1: Framework Selection", "1.2: As a Decorator", "1.3: Dynamic vs Static", "2.0: Kornia", "3.0: Perceiver", "3.1: Stable Diffusion", "Basic Operations with Ivy", "Compilation of a Basic Function", "Demo: Transpiling DeepMind\u2019s PerceiverIO", "Deepmind PerceiverIO on GPU", "End-to-End Training Pipeline in Ivy", "HuggingFace Tensorflow DeiT", "Ivy as a Transpiler Introduction", "Resnet 18", "Activations", "Conversions", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Image", "Layers", "Linear algebra", "Losses", "Manipulation", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "Wrapping", "Activations", "Base", "Conversions", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Image", "Layers", "Linear algebra", "Losses", "Manipulation", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "Wrapping", "Base", "Cp tensor", "Parafac2 tensor", "Tr tensor", "Tt tensor", "Tucker tensor", "Array", "Container", "Factorized tensor", "Nested array", "Base", "Elementwise", "Data classes", "Functions", "gelu", "hardswish", "leaky_relu", "log_softmax", "mish", "relu", "sigmoid", "softmax", "softplus", "softsign", "cmp_is", "cmp_isnot", "for_loop", "if_else", "try_except", "while_loop", "arange", "array", "asarray", "copy_array", "empty", "empty_like", "eye", "from_dlpack", "frombuffer", "full", "full_like", "linspace", "logspace", "meshgrid", "native_array", "one_hot", "ones", "ones_like", "to_dlpack", "tril", "triu", "triu_indices", "zeros", "zeros_like", "as_ivy_dtype", "as_native_dtype", "astype", "broadcast_arrays", "broadcast_to", "can_cast", "check_float", "closest_valid_dtype", "default_complex_dtype", "default_dtype", "default_float_dtype", "default_int_dtype", "default_uint_dtype", "dtype", "dtype_bits", "finfo", "function_supported_dtypes", "function_unsupported_dtypes", "iinfo", "infer_default_dtype", "invalid_dtype", "is_bool_dtype", "is_complex_dtype", "is_float_dtype", "is_hashable_dtype", "is_int_dtype", "is_native_dtype", "is_uint_dtype", "promote_types", "promote_types_of_inputs", "result_type", "set_default_complex_dtype", "set_default_dtype", "set_default_float_dtype", "set_default_int_dtype", "set_default_uint_dtype", "type_promote_arrays", "unset_default_complex_dtype", "unset_default_dtype", "unset_default_float_dtype", "unset_default_int_dtype", "unset_default_uint_dtype", "valid_dtype", "as_ivy_dev", "as_native_dev", "clear_cached_mem_on_dev", "default_device", "dev", "dev_util", "function_supported_devices", "function_unsupported_devices", "get_all_ivy_arrays_on_dev", "gpu_is_available", "handle_soft_device_variable", "num_cpu_cores", "num_gpus", "num_ivy_arrays_on_dev", "percent_used_mem_on_dev", "print_all_ivy_arrays_on_dev", "set_default_device", "set_soft_device_mode", "set_split_factor", "split_factor", "split_func_call", "to_device", "total_mem_on_dev", "tpu_is_available", "unset_default_device", "unset_soft_device_mode", "used_mem_on_dev", "abs", "acos", "acosh", "add", "angle", "asin", "asinh", "atan", "atan2", "atanh", "bitwise_and", "bitwise_invert", "bitwise_left_shift", "bitwise_or", "bitwise_right_shift", "bitwise_xor", "ceil", "cos", "cosh", "deg2rad", "divide", "equal", "erf", "exp", "exp2", "expm1", "floor", "floor_divide", "fmin", "fmod", "gcd", "greater", "greater_equal", "imag", "isfinite", "isinf", "isnan", "isreal", "lcm", "less", "less_equal", "log", "log10", "log1p", "log2", "logaddexp", "logaddexp2", "logical_and", "logical_not", "logical_or", "logical_xor", "maximum", "minimum", "multiply", "nan_to_num", "negative", "not_equal", "positive", "pow", "rad2deg", "real", "reciprocal", "remainder", "round", "sign", "sin", "sinh", "sqrt", "square", "subtract", "tan", "tanh", "trapz", "trunc", "trunc_divide", "celu", "elu", "hardshrink", "hardtanh", "logit", "logsigmoid", "prelu", "relu6", "scaled_tanh", "selu", "silu", "softshrink", "stanh", "tanhshrink", "threshold", "thresholded_relu", "blackman_window", "eye_like", "hamming_window", "hann_window", "indices", "kaiser_bessel_derived_window", "kaiser_window", "mel_weight_matrix", "ndenumerate", "ndindex", "polyval", "random_cp", "random_parafac2", "random_tr", "random_tt", "random_tucker", "tril_indices", "trilu", "unsorted_segment_mean", "unsorted_segment_min", "unsorted_segment_sum", "vorbis_window", "allclose", "amax", "amin", "binarizer", "conj", "copysign", "count_nonzero", "diff", "digamma", "erfc", "fix", "float_power", "fmax", "frexp", "gradient", "hypot", "isclose", "ldexp", "lerp", "lgamma", "modf", "nansum", "nextafter", "signbit", "sinc", "sparsify_tensor", "xlogy", "zeta", "reduce", "bind_custom_gradient_function", "jvp", "vjp", "Activations", "Constants", "Creation", "Data type", "Device", "Elementwise", "General", "Gradients", "Layers", "Linear algebra", "Losses", "Manipulation", "Meta", "Nest", "Norms", "Random", "Searching", "Set", "Sorting", "Sparse array", "Statistical", "Utility", "adaptive_avg_pool1d", "adaptive_avg_pool2d", "adaptive_max_pool2d", "area_interpolate", "avg_pool1d", "avg_pool2d", "avg_pool3d", "dct", "dft", "dropout1d", "dropout2d", "dropout3d", "embedding", "fft", "fft2", "generate_einsum_equation", "get_interpolate_kernel", "idct", "ifft", "ifftn", "interp", "interpolate", "max_pool1d", "max_pool2d", "max_pool3d", "max_unpool1d", "nearest_interpolate", "pool", "reduce_window", "rfft", "rfftn", "rnn", "sliding_window", "stft", "adjoint", "batched_outer", "cond", "diagflat", "dot", "eig", "eigh_tridiagonal", "eigvals", "general_inner_product", "higher_order_moment", "initialize_tucker", "khatri_rao", "kron", "kronecker", "make_svd_non_negative", "matrix_exp", "mode_dot", "multi_dot", "multi_mode_dot", "partial_tucker", "solve_triangular", "svd_flip", "tensor_train", "truncated_svd", "tt_matrix_to_tensor", "tucker", "huber_loss", "kl_div", "l1_loss", "log_poisson_loss", "poisson_nll_loss", "smooth_l1_loss", "soft_margin_loss", "as_strided", "associative_scan", "atleast_1d", "atleast_2d", "atleast_3d", "broadcast_shapes", "check_scalar", "choose", "column_stack", "concat_from_sequence", "dsplit", "dstack", "expand", "fill_diagonal", "flatten", "fliplr", "flipud", "fold", "heaviside", "hsplit", "hstack", "i0", "matricize", "moveaxis", "pad", "partial_fold", "partial_tensor_to_vec", "partial_unfold", "partial_vec_to_tensor", "put_along_axis", "rot90", "soft_thresholding", "take", "take_along_axis", "top_k", "trim_zeros", "unfold", "unique_consecutive", "vsplit", "vstack", "batch_norm", "group_norm", "instance_norm", "l1_normalize", "l2_normalize", "local_response_norm", "lp_normalize", "bernoulli", "beta", "dirichlet", "gamma", "poisson", "unravel_index", "invert_permutation", "lexsort", "is_ivy_sparse_array", "is_native_sparse_array", "native_sparse_array", "native_sparse_array_to_indices_values_and_shape", "bincount", "corrcoef", "cov", "cummax", "cummin", "histogram", "igamma", "median", "nanmean", "nanmedian", "nanmin", "nanprod", "quantile", "optional_get_element", "all_equal", "arg_info", "arg_names", "array_equal", "assert_supports_inplace", "cache_fn", "clip_matrix_norm", "clip_vector_norm", "container_types", "current_backend_str", "default", "einops_rearrange", "einops_reduce", "einops_repeat", "exists", "fourier_encode", "function_supported_devices_and_dtypes", "function_unsupported_devices_and_dtypes", "gather", "gather_nd", "get_all_arrays_in_memory", "get_item", "get_num_dims", "get_referrers_recursive", "has_nans", "inplace_arrays_supported", "inplace_decrement", "inplace_increment", "inplace_update", "inplace_variables_supported", "is_array", "is_ivy_array", "is_ivy_container", "is_ivy_nested_array", "is_native_array", "isin", "isscalar", "itemsize", "match_kwargs", "multiprocessing", "num_arrays_in_memory", "print_all_arrays_in_memory", "scatter_flat", "scatter_nd", "set_array_mode", "set_exception_trace_mode", "set_inplace_mode", "set_item", "set_min_base", "set_min_denominator", "set_nestable_mode", "set_precise_mode", "set_queue_timeout", "set_shape_array_mode", "set_show_func_wrapper_trace_mode", "set_tmp_dir", "shape", "stable_divide", "stable_pow", "strides", "supports_inplace_updates", "to_ivy_shape", "to_list", "to_native_shape", "to_numpy", "to_scalar", "try_else_none", "unset_array_mode", "unset_exception_trace_mode", "unset_inplace_mode", "unset_min_base", "unset_min_denominator", "unset_nestable_mode", "unset_precise_mode", "unset_queue_timeout", "unset_shape_array_mode", "unset_show_func_wrapper_trace_mode", "unset_tmp_dir", "value_is_nan", "vmap", "adam_step", "adam_update", "execute_with_gradients", "grad", "gradient_descent_update", "jac", "lamb_update", "lars_update", "optimizer_update", "stop_gradient", "value_and_grad", "Activations", "Constants", "Control flow ops", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Layers", "Linear algebra", "Losses", "Manipulation", "Meta", "Nest", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "conv", "conv1d", "conv1d_transpose", "conv2d", "conv2d_transpose", "conv3d", "conv3d_transpose", "conv_general_dilated", "conv_general_transpose", "depthwise_conv2d", "dropout", "linear", "lstm_update", "multi_head_attention", "nms", "roi_align", "scaled_dot_product_attention", "cholesky", "cross", "det", "diag", "diagonal", "eig", "eigh", "eigvalsh", "inner", "inv", "lu_factor", "matmul", "matrix_norm", "matrix_power", "matrix_rank", "matrix_transpose", "outer", "pinv", "qr", "slogdet", "solve", "svd", "svdvals", "tensordot", "tensorsolve", "trace", "vander", "vecdot", "vector_norm", "vector_to_skew_symmetric_matrix", "binary_cross_entropy", "cross_entropy", "sparse_cross_entropy", "clip", "concat", "constant_pad", "expand_dims", "flip", "permute_dims", "repeat", "reshape", "roll", "split", "squeeze", "stack", "swapaxes", "tile", "unstack", "zero_pad", "fomaml_step", "maml_step", "reptile_step", "all_nested_indices", "copy_nest", "duplicate_array_index_chains", "index_nest", "insert_into_nest_at_index", "insert_into_nest_at_indices", "map", "map_nest_at_index", "map_nest_at_indices", "multi_index_nest", "nested_any", "nested_argwhere", "nested_map", "nested_multi_map", "prune_empty", "prune_nest_at_index", "prune_nest_at_indices", "set_nest_at_index", "set_nest_at_indices", "layer_norm", "multinomial", "randint", "random_normal", "random_uniform", "seed", "shuffle", "argmax", "argmin", "argwhere", "nonzero", "where", "unique_all", "unique_counts", "unique_inverse", "unique_values", "argsort", "msort", "searchsorted", "sort", "cumprod", "cumsum", "einsum", "max", "mean", "min", "prod", "std", "sum", "var", "all", "any", "load", "save", "Assertions", "Available frameworks", "Function testing", "Globals", "Hypothesis helpers", "Array helpers", "Dtype helpers", "General helpers", "Number helpers", "Multiprocessing", "Pipeline helper", "Structs", "Test parameter flags", "Testing helpers", "Framework classes", "Utils", "Testing", "Activations", "Converters", "Helpers", "Initializers", "Layers", "Losses", "Module", "Norms", "Optimizers", "Sequential", "Assertions", "Backend", "Ast helpers", "Handler", "Sub backend handler", "Binaries", "Dynamic import", "Einsum parser", "Einsum path helpers", "Exceptions", "Inspection", "Logging", "Profiler", "Verbosity", "Home", "Contributing", "Building the Docs", "Error Handling", "Helpful Resources", "Open Tasks", "Setting Up", "The Basics", "Deep Dive", "Array API Tests", "Arrays", "Backend Setting", "Building the Docs Pipeline", "Containers", "Continuous Integration", "Data Types", "Devices", "Docstring Examples", "Docstrings", "Exception Handling", "Fix Failing Tests:", "Formatting", "Function Arguments", "Function Types", "Function Wrapping", "Gradients", "Inplace Updates", "Ivy Frontends", "Ivy Frontend Tests", "Ivy-Lint: Ivy\u2019s Custom Code Formatters", "Ivy Tests", "Navigating the Code", "Operating Modes", "Superset Behaviour", "Design", "Building Blocks", "Ivy as a Framework", "Ivy Array", "Ivy Container", "Ivy Stateful API", "Ivy as a Transpiler", "FAQ", "Get Started", "Glossary", "Motivation", "ML Explosion", "Standardization", "Why Unify?", "One liners", "ivy.trace_graph()", "ivy.transpile()", "ivy.unify()", "Related Work", "API Standards", "Compiler Infrastructure", "Exchange Formats", "Frameworks", "Graph Tracers", "ML-Unifying Companies", "Multi-Vendor Compiler Frameworks", "Vendor-Specific APIs", "Vendor-Specific Compilers", "What does Ivy Add?", "Wrapper Frameworks"], "terms": {"thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 41, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 160, 163, 166, 167, 168, 170, 174, 175, 189, 192, 202, 208, 209, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 361, 362, 363, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 377, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 404, 405, 406, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 427, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 568, 574, 579, 580, 581, 582, 584, 586, 587, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 707, 709, 711, 712, 717, 718, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 766, 775, 776, 778, 779, 781, 782, 783, 784, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "repo": [0, 11, 40, 803, 806, 808, 811, 813, 814, 819, 827, 829, 844], "hold": [0, 52, 53, 57, 65, 75, 80, 88, 92, 93, 328, 344, 349, 365, 380, 459, 487, 511, 512, 517, 564, 565, 621, 624, 634, 665, 745, 761, 837, 856], "all": [0, 1, 3, 4, 5, 7, 8, 11, 12, 13, 14, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 39, 40, 42, 43, 45, 47, 48, 52, 53, 56, 57, 59, 61, 66, 67, 69, 70, 71, 74, 75, 76, 79, 80, 82, 84, 89, 90, 92, 93, 121, 129, 136, 140, 141, 142, 196, 203, 235, 239, 267, 268, 322, 323, 335, 353, 362, 365, 368, 369, 371, 380, 401, 410, 412, 413, 414, 422, 427, 435, 436, 438, 441, 462, 473, 481, 486, 516, 522, 525, 542, 562, 563, 579, 586, 587, 601, 604, 616, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 631, 635, 646, 648, 649, 654, 667, 672, 673, 676, 681, 690, 694, 696, 702, 703, 704, 705, 706, 707, 716, 717, 718, 719, 725, 728, 733, 758, 760, 763, 764, 765, 766, 778, 779, 785, 788, 793, 795, 799, 800, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 851, 852, 853, 854, 855, 856, 858, 861, 862], "jupyt": [0, 845, 857], "exampl": [0, 6, 8, 17, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 42, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 170, 171, 172, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 401, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 431, 433, 436, 440, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 492, 493, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 771, 788, 792, 793, 797, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 819, 820, 822, 823, 825, 826, 829, 830, 834, 836, 837, 838, 839, 840, 846, 852, 853, 856, 858, 861, 862], "tab": [0, 804, 805, 813, 819, 837], "ivi": [0, 1, 2, 6, 8, 9, 11, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 34, 40, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 800, 801, 802, 803, 805, 807, 808, 810, 812, 814, 815, 817, 819, 820, 821, 822, 823, 825, 832, 833, 840, 842, 845, 846, 847, 851, 862], "": [0, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 38, 41, 43, 44, 45, 48, 52, 53, 54, 57, 65, 75, 77, 80, 88, 117, 134, 140, 141, 161, 162, 191, 194, 195, 207, 242, 277, 323, 328, 329, 330, 332, 342, 344, 350, 354, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 383, 384, 390, 396, 401, 412, 420, 424, 430, 439, 443, 445, 446, 462, 464, 465, 473, 489, 490, 491, 500, 510, 520, 538, 539, 545, 559, 581, 582, 603, 605, 606, 607, 608, 610, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 628, 634, 638, 640, 642, 644, 649, 656, 667, 674, 675, 681, 717, 751, 753, 764, 778, 779, 780, 781, 782, 783, 784, 788, 799, 800, 801, 802, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 842, 845, 846, 847, 848, 849, 850, 851, 854, 855, 856, 858, 859, 860, 861], "web": 0, "relev": [0, 48, 71, 133, 616, 783, 799, 804, 805, 806, 809, 812, 813, 814, 816, 819, 823, 824, 827, 828, 829, 837, 841, 845, 853, 860, 861], "link": [0, 17, 26, 27, 41, 799, 804, 805, 806, 811, 813, 814, 820, 826, 849, 851, 853], "list": [0, 4, 5, 6, 7, 9, 42, 47, 48, 49, 51, 52, 53, 56, 59, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 129, 131, 134, 135, 136, 138, 144, 148, 150, 163, 167, 168, 175, 191, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 335, 336, 338, 339, 342, 343, 344, 350, 351, 352, 354, 355, 356, 365, 368, 369, 371, 378, 386, 387, 388, 390, 391, 392, 393, 404, 405, 406, 407, 411, 413, 417, 422, 426, 429, 434, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 457, 458, 459, 468, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 502, 510, 511, 512, 513, 522, 524, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 542, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 585, 586, 587, 588, 600, 601, 606, 611, 616, 617, 618, 619, 621, 623, 624, 626, 628, 629, 632, 633, 637, 638, 639, 640, 641, 642, 645, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 676, 678, 683, 684, 685, 686, 687, 690, 693, 694, 695, 696, 697, 700, 701, 705, 706, 707, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 744, 745, 748, 750, 751, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 779, 785, 792, 793, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 818, 819, 820, 821, 822, 825, 826, 827, 829, 830, 834, 837, 838, 839, 840, 848, 855, 856, 861], "open": [0, 3, 5, 6, 7, 8, 23, 26, 27, 40, 41, 42, 43, 53, 61, 84, 121, 616, 630, 726, 728, 799, 800, 801, 805, 806, 811, 814, 817, 819, 826, 827, 832, 841, 844, 845, 846, 848, 849, 853, 854, 855, 857, 858], "task": [0, 43, 627, 702, 703, 704, 799, 800, 805, 806, 826, 827, 855, 861, 862], "avil": 0, "discuss": [0, 804, 806, 811, 814, 815, 825, 826, 828, 829, 832, 835, 836, 837, 840, 846, 851, 856], "suggest": [0, 804, 805, 806, 811, 814, 820, 824, 826, 829, 830, 831, 841], "new": [0, 6, 8, 10, 11, 13, 15, 18, 21, 22, 23, 24, 26, 27, 28, 42, 44, 47, 52, 53, 54, 59, 60, 69, 71, 75, 76, 77, 80, 82, 83, 125, 128, 130, 131, 136, 137, 138, 143, 144, 181, 224, 270, 272, 276, 328, 333, 344, 349, 365, 368, 371, 380, 403, 449, 457, 458, 472, 478, 517, 533, 534, 535, 537, 540, 541, 543, 564, 565, 568, 570, 577, 579, 580, 586, 603, 606, 608, 609, 610, 616, 617, 619, 621, 622, 623, 626, 628, 629, 649, 661, 669, 689, 693, 697, 710, 722, 723, 724, 776, 779, 782, 783, 788, 793, 799, 800, 804, 805, 806, 807, 809, 810, 812, 813, 814, 816, 817, 819, 820, 823, 825, 826, 827, 828, 829, 830, 832, 833, 836, 839, 841, 842, 844, 845, 846, 848, 853, 857, 861, 862], "should": [0, 4, 8, 9, 21, 22, 23, 24, 43, 46, 48, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 68, 69, 71, 74, 75, 76, 77, 79, 80, 82, 84, 85, 87, 88, 90, 92, 95, 97, 98, 108, 112, 120, 134, 136, 140, 141, 149, 174, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 296, 307, 323, 329, 330, 341, 345, 346, 347, 348, 352, 357, 358, 359, 360, 362, 365, 367, 368, 369, 370, 371, 375, 380, 383, 391, 392, 393, 395, 400, 411, 426, 435, 441, 447, 472, 473, 496, 497, 510, 511, 512, 527, 545, 550, 601, 603, 606, 608, 609, 610, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 643, 644, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 676, 678, 680, 681, 693, 709, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 744, 745, 746, 747, 748, 749, 750, 752, 753, 760, 761, 763, 765, 775, 776, 778, 779, 781, 782, 783, 784, 792, 793, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 843, 845, 849, 851, 852, 855, 857, 862], "comprehens": [0, 15, 806, 808, 828], "possibl": [0, 3, 32, 48, 52, 71, 75, 82, 92, 123, 242, 285, 306, 329, 330, 362, 365, 368, 370, 371, 390, 442, 451, 452, 453, 459, 461, 463, 464, 465, 472, 487, 560, 619, 621, 623, 634, 646, 689, 690, 691, 693, 695, 696, 698, 700, 747, 749, 763, 779, 793, 796, 799, 800, 802, 804, 805, 806, 808, 811, 812, 814, 816, 817, 819, 820, 822, 824, 825, 826, 827, 829, 832, 834, 837, 840, 845, 853, 855, 861], "us": [0, 1, 2, 3, 4, 6, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 65, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 82, 84, 85, 90, 92, 93, 95, 98, 105, 133, 136, 147, 159, 161, 162, 173, 174, 194, 195, 197, 202, 206, 207, 208, 209, 211, 214, 220, 228, 256, 257, 259, 260, 262, 263, 264, 266, 267, 269, 278, 282, 287, 306, 308, 309, 311, 312, 313, 321, 342, 345, 346, 349, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 390, 391, 392, 393, 394, 396, 401, 403, 404, 405, 406, 409, 411, 412, 413, 415, 420, 422, 426, 430, 432, 434, 435, 437, 438, 439, 441, 446, 463, 467, 471, 473, 481, 489, 491, 495, 496, 497, 498, 499, 500, 501, 502, 503, 510, 517, 520, 538, 539, 548, 549, 560, 561, 568, 570, 571, 573, 579, 580, 592, 593, 595, 602, 603, 608, 609, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 632, 634, 647, 649, 652, 657, 659, 667, 671, 675, 678, 681, 683, 692, 693, 694, 698, 702, 703, 704, 705, 707, 708, 714, 715, 716, 718, 725, 726, 727, 728, 730, 731, 732, 733, 736, 738, 746, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 788, 792, 793, 797, 800, 803, 806, 807, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 829, 830, 831, 832, 833, 834, 835, 836, 838, 839, 840, 842, 846, 850, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "easi": [0, 26, 27, 40, 805, 806, 809, 810, 812, 822, 824, 827, 829, 832, 845, 853, 855, 861, 862], "follow": [0, 9, 20, 21, 22, 24, 26, 27, 30, 31, 32, 38, 41, 42, 52, 53, 54, 56, 57, 63, 69, 75, 76, 77, 79, 80, 129, 160, 163, 208, 218, 235, 242, 268, 270, 277, 278, 313, 362, 368, 370, 371, 374, 390, 403, 411, 446, 461, 473, 489, 491, 548, 549, 550, 579, 580, 603, 606, 608, 609, 610, 616, 617, 618, 619, 621, 622, 623, 624, 628, 632, 649, 652, 665, 671, 681, 711, 717, 736, 737, 738, 739, 779, 783, 799, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 848, 852, 855, 858], "attract": 0, "visual": [0, 9, 44, 797, 799, 805, 819, 826, 829, 840, 855, 857, 860], "graph": [0, 3, 5, 7, 9, 15, 16, 19, 21, 23, 24, 27, 33, 34, 39, 44, 45, 63, 632, 736, 737, 738, 739, 771, 799, 812, 822, 826, 828, 832, 834, 839, 840, 842, 846, 847, 848, 849, 850, 851, 855, 858], "nice": [0, 829, 846, 855], "format": [0, 23, 24, 26, 27, 38, 40, 41, 42, 50, 53, 56, 65, 68, 69, 70, 73, 79, 95, 113, 158, 192, 368, 369, 379, 409, 440, 506, 533, 613, 617, 618, 621, 623, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 746, 756, 757, 758, 775, 799, 805, 806, 807, 813, 814, 815, 816, 817, 818, 826, 828, 837, 849, 851, 853, 855, 856], "result": [0, 3, 5, 6, 7, 8, 9, 11, 13, 21, 22, 23, 24, 26, 27, 38, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 174, 175, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 424, 425, 427, 428, 430, 431, 432, 433, 434, 436, 440, 442, 443, 444, 445, 447, 448, 450, 457, 458, 461, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 528, 529, 533, 534, 535, 540, 541, 545, 550, 557, 564, 565, 602, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 708, 711, 712, 714, 718, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 765, 771, 785, 793, 797, 799, 802, 804, 806, 808, 809, 811, 812, 813, 814, 816, 817, 819, 821, 822, 824, 825, 826, 827, 829, 830, 834, 837, 840, 848, 849, 850, 856, 858], "etc": [0, 29, 34, 41, 48, 52, 61, 63, 67, 71, 75, 84, 90, 124, 132, 133, 136, 368, 375, 396, 401, 412, 496, 497, 499, 500, 616, 630, 632, 725, 726, 727, 728, 736, 737, 738, 739, 763, 766, 778, 779, 780, 781, 782, 783, 784, 804, 805, 806, 808, 809, 810, 811, 812, 814, 816, 818, 821, 826, 827, 829, 830, 834, 836, 837, 840, 842, 846, 848, 853, 855, 861], "gener": [0, 5, 15, 19, 24, 26, 27, 29, 32, 40, 42, 44, 45, 48, 51, 52, 56, 61, 67, 71, 74, 75, 79, 84, 90, 93, 121, 132, 133, 142, 150, 235, 238, 248, 249, 264, 268, 277, 306, 309, 313, 314, 315, 317, 318, 319, 320, 321, 322, 329, 330, 362, 365, 368, 369, 371, 375, 380, 411, 417, 437, 481, 498, 510, 616, 617, 619, 623, 624, 626, 630, 634, 646, 672, 673, 676, 679, 701, 725, 726, 728, 729, 751, 763, 766, 771, 783, 792, 804, 805, 806, 807, 808, 809, 811, 814, 815, 816, 817, 818, 821, 822, 825, 826, 827, 830, 833, 834, 836, 838, 839, 840, 842, 853, 854, 855, 856, 857, 858, 859, 860, 861], "tone": [0, 4], "feel": [0, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 841, 848], "free": [0, 5, 40, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 801, 802, 803, 804, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 841, 848, 856, 858], "includ": [0, 9, 15, 19, 29, 34, 48, 51, 52, 53, 57, 62, 65, 66, 69, 71, 74, 75, 76, 80, 85, 88, 89, 121, 122, 123, 132, 133, 135, 142, 215, 239, 243, 244, 245, 248, 250, 253, 261, 269, 282, 287, 308, 311, 312, 313, 316, 322, 325, 327, 329, 330, 334, 335, 336, 338, 339, 340, 341, 343, 345, 346, 348, 349, 350, 351, 354, 355, 362, 365, 368, 371, 380, 386, 387, 388, 418, 421, 423, 464, 465, 467, 470, 472, 474, 477, 498, 500, 501, 509, 513, 515, 516, 518, 519, 520, 546, 600, 616, 619, 621, 624, 628, 630, 631, 634, 635, 658, 679, 681, 705, 728, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 766, 778, 779, 782, 795, 799, 804, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 845, 848, 849, 852, 853, 855, 857, 860, 861, 862], "emoji": [0, 804], "don": [0, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 40, 42, 67, 90, 799, 804, 805, 806, 813, 814, 815, 820, 824, 829, 832, 838, 840, 841, 846, 848], "t": [0, 4, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 38, 40, 41, 42, 52, 56, 67, 75, 79, 90, 92, 93, 97, 342, 357, 365, 367, 369, 422, 550, 568, 582, 604, 621, 622, 623, 628, 647, 648, 713, 758, 779, 799, 801, 804, 805, 806, 807, 809, 810, 812, 813, 814, 815, 816, 819, 820, 822, 823, 824, 825, 829, 830, 832, 834, 836, 837, 838, 839, 840, 841, 845, 846, 848, 849, 850, 853, 855, 857], "keep": [0, 1, 11, 13, 17, 23, 24, 26, 52, 59, 69, 75, 82, 92, 95, 353, 369, 441, 626, 700, 803, 804, 805, 806, 808, 811, 812, 813, 818, 825, 826, 829, 830, 832, 837, 839, 841, 849], "thing": [0, 24, 38, 40, 792, 803, 804, 805, 806, 810, 826, 829, 832, 836, 837, 844, 845, 846, 855], "super": [0, 3, 5, 11, 13, 26, 27, 40, 52, 75, 369, 422, 799, 818, 834, 837, 838, 839, 849], "seriou": 0, "given": [0, 3, 17, 26, 39, 52, 53, 58, 59, 61, 69, 75, 76, 77, 81, 82, 84, 92, 93, 95, 97, 98, 121, 125, 132, 133, 153, 154, 155, 156, 157, 169, 174, 193, 202, 204, 206, 207, 208, 210, 214, 287, 316, 325, 328, 334, 335, 342, 343, 344, 346, 349, 362, 365, 368, 369, 370, 371, 374, 375, 380, 386, 387, 388, 389, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 412, 422, 427, 440, 443, 444, 445, 447, 448, 449, 450, 460, 461, 462, 469, 471, 483, 488, 492, 493, 494, 495, 496, 497, 498, 499, 500, 510, 511, 512, 513, 519, 541, 545, 564, 565, 575, 602, 603, 606, 608, 609, 610, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 682, 683, 684, 685, 686, 689, 690, 691, 692, 694, 695, 699, 700, 712, 713, 722, 723, 726, 727, 728, 730, 742, 743, 744, 745, 758, 763, 764, 765, 766, 771, 775, 776, 778, 779, 781, 782, 783, 784, 785, 792, 793, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 835, 836, 838, 845, 846, 852, 857, 858, 861, 862], "an": [0, 2, 3, 8, 9, 15, 16, 17, 19, 21, 22, 23, 24, 26, 27, 32, 38, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 74, 75, 76, 80, 81, 82, 84, 85, 86, 88, 89, 90, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 117, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 160, 163, 166, 170, 174, 175, 205, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 310, 311, 312, 314, 315, 322, 323, 324, 325, 326, 327, 329, 330, 332, 335, 338, 343, 347, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 399, 401, 403, 404, 405, 406, 409, 410, 411, 412, 413, 414, 415, 416, 418, 421, 422, 423, 445, 446, 450, 451, 452, 453, 457, 458, 459, 461, 468, 472, 473, 479, 481, 486, 487, 489, 490, 491, 494, 496, 497, 499, 502, 503, 508, 509, 510, 511, 512, 513, 514, 517, 518, 521, 526, 528, 529, 537, 540, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 559, 565, 568, 569, 578, 582, 586, 587, 588, 601, 604, 611, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 711, 724, 726, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 766, 768, 771, 775, 776, 778, 779, 781, 782, 783, 784, 793, 799, 801, 802, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 841, 842, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 858, 859, 861, 862], "intern": [0, 9, 69, 100, 101, 102, 628, 705, 715, 716, 778, 779, 780, 781, 782, 784, 809, 812, 815, 817, 825, 827, 829, 831], "releas": [0, 41, 804, 805, 814, 830, 832, 840, 846, 855, 861], "tracer": [0, 3, 5, 7, 8, 21, 22, 23, 24, 27, 43, 45, 799, 826, 833, 835, 840, 842, 849, 850, 851], "i": [0, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 160, 161, 162, 163, 165, 166, 167, 168, 169, 170, 171, 172, 175, 187, 189, 191, 192, 194, 195, 197, 199, 202, 207, 208, 209, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 309, 310, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 381, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 396, 399, 401, 403, 404, 405, 406, 407, 410, 411, 412, 413, 414, 415, 419, 420, 421, 422, 424, 425, 426, 427, 429, 432, 433, 434, 435, 436, 437, 438, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 471, 472, 473, 474, 476, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 502, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 560, 561, 564, 565, 566, 568, 574, 578, 579, 580, 582, 584, 586, 587, 588, 600, 601, 603, 604, 605, 606, 608, 609, 610, 611, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 711, 712, 713, 714, 715, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 785, 788, 789, 792, 793, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "around": [0, 10, 11, 13, 15, 52, 69, 75, 98, 371, 473, 481, 804, 806, 808, 809, 811, 815, 821, 822, 826, 830, 836, 840, 842, 848, 853, 855, 862], "corner": [0, 52, 75, 368, 403, 805, 806, 819, 826], "anybodi": 0, "abl": [0, 3, 5, 28, 32, 43, 45, 69, 92, 805, 806, 808, 814, 819, 822, 825, 826, 830, 834, 839, 848, 858, 861], "start": [0, 1, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 41, 42, 48, 52, 69, 71, 75, 79, 121, 129, 132, 133, 346, 356, 365, 366, 368, 371, 380, 410, 463, 466, 474, 476, 485, 519, 616, 765, 792, 800, 804, 805, 806, 807, 813, 814, 816, 817, 819, 820, 821, 826, 829, 832, 833, 834, 836, 837, 838, 840, 848, 849, 855, 861], "work": [0, 24, 26, 27, 38, 39, 41, 45, 47, 52, 75, 92, 380, 520, 624, 628, 675, 712, 713, 717, 722, 723, 799, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 819, 825, 826, 827, 829, 830, 833, 834, 836, 838, 839, 841, 846, 848, 849, 850, 853, 855, 857, 859, 862], "shortli": 0, "so": [0, 1, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 38, 40, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 365, 368, 371, 378, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 623, 628, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 716, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 793, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 844, 845, 848, 849, 850, 855, 856, 857, 859], "worri": [0, 26, 27, 804, 805, 820], "about": [0, 15, 16, 17, 20, 22, 24, 26, 27, 30, 41, 42, 49, 72, 160, 163, 617, 799, 801, 803, 804, 805, 806, 807, 808, 811, 813, 814, 815, 820, 821, 825, 827, 828, 829, 830, 831, 832, 833, 834, 836, 837, 838, 839, 840, 846, 850, 856, 857, 860], "have": [0, 1, 3, 4, 5, 6, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 30, 38, 40, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 160, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 337, 341, 343, 345, 346, 347, 348, 352, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 412, 416, 418, 419, 421, 422, 427, 428, 431, 432, 433, 434, 439, 442, 443, 444, 445, 446, 447, 448, 452, 453, 458, 459, 461, 466, 474, 475, 476, 477, 479, 481, 483, 485, 492, 493, 495, 496, 497, 499, 500, 501, 503, 510, 511, 512, 513, 517, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 568, 602, 603, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 775, 776, 778, 779, 781, 782, 783, 784, 792, 793, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 850, 851, 852, 853, 854, 855, 857, 861, 862], "access": [0, 23, 26, 27, 69, 799, 804, 805, 806, 813, 814, 820, 825, 826, 841, 849, 855, 857, 859], "transpil": [0, 6, 7, 8, 10, 15, 16, 19, 29, 770, 771, 804, 805, 818, 819, 826, 833, 834, 835, 842, 847, 848, 850, 855, 861, 862], "code": [0, 4, 6, 7, 8, 15, 16, 23, 24, 26, 28, 29, 30, 31, 32, 33, 40, 41, 50, 51, 69, 73, 74, 98, 209, 255, 380, 517, 526, 534, 535, 550, 564, 568, 582, 618, 621, 623, 624, 626, 645, 666, 667, 668, 697, 797, 799, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 827, 829, 832, 833, 834, 835, 836, 837, 838, 839, 840, 842, 844, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 858, 859, 860, 861, 862], "now": [0, 4, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 42, 779, 780, 781, 799, 805, 808, 809, 810, 811, 812, 813, 814, 815, 819, 821, 823, 826, 827, 829, 830, 832, 836, 837, 839, 840, 846, 848, 849, 850, 855], "you": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 52, 53, 75, 76, 92, 97, 98, 371, 380, 461, 517, 540, 541, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 649, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 855], "can": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41, 42, 45, 48, 49, 52, 53, 57, 59, 61, 63, 71, 72, 75, 76, 80, 82, 84, 86, 92, 93, 107, 110, 122, 123, 133, 135, 150, 189, 206, 207, 208, 296, 313, 360, 362, 368, 369, 370, 374, 375, 378, 380, 390, 403, 427, 432, 434, 439, 446, 458, 489, 497, 498, 503, 510, 557, 568, 601, 604, 613, 616, 617, 618, 621, 622, 623, 624, 626, 630, 649, 657, 664, 674, 678, 693, 697, 726, 727, 728, 736, 760, 763, 764, 765, 766, 771, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 852, 853, 854, 855, 856, 858, 859, 861, 862], "style": [0, 9, 40, 42, 371, 473, 631, 734, 806, 820, 855], "stori": 0, "If": [0, 1, 3, 4, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 41, 44, 45, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 93, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 134, 136, 137, 138, 140, 141, 142, 143, 144, 147, 148, 149, 150, 175, 191, 207, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 322, 323, 325, 328, 329, 330, 331, 332, 334, 335, 336, 339, 343, 344, 349, 350, 352, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 396, 399, 401, 403, 404, 405, 406, 411, 412, 413, 415, 420, 422, 424, 426, 427, 432, 434, 436, 437, 439, 440, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 468, 472, 478, 479, 480, 481, 482, 483, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 569, 579, 580, 582, 584, 586, 587, 600, 601, 604, 606, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 656, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 717, 718, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 778, 779, 781, 782, 788, 793, 799, 800, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 839, 840, 841, 844, 848, 849, 850], "anyon": [0, 799, 800, 806, 813, 840, 845, 861], "ha": [0, 3, 5, 7, 8, 9, 11, 13, 17, 19, 23, 26, 27, 29, 32, 34, 38, 45, 48, 52, 57, 59, 63, 65, 69, 72, 75, 76, 80, 82, 86, 88, 92, 134, 191, 215, 235, 238, 240, 242, 252, 268, 270, 275, 278, 280, 281, 285, 324, 325, 326, 362, 369, 370, 371, 380, 403, 436, 445, 456, 480, 482, 486, 509, 511, 512, 514, 546, 616, 618, 619, 623, 624, 626, 631, 632, 634, 648, 649, 664, 665, 673, 674, 676, 678, 681, 689, 696, 734, 737, 738, 739, 744, 745, 748, 750, 751, 752, 753, 763, 766, 788, 804, 806, 808, 810, 811, 812, 813, 814, 815, 816, 817, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 838, 839, 840, 841, 844, 845, 846, 848, 850, 851, 854, 855, 857, 858, 861], "ani": [0, 5, 7, 11, 13, 15, 16, 17, 18, 19, 28, 29, 32, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 51, 52, 53, 57, 66, 67, 71, 73, 74, 75, 76, 89, 90, 92, 97, 98, 117, 118, 120, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 150, 151, 166, 170, 174, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 374, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 412, 413, 422, 427, 462, 473, 481, 489, 490, 491, 510, 513, 516, 517, 518, 522, 532, 533, 534, 535, 536, 540, 544, 546, 548, 552, 554, 555, 573, 580, 587, 588, 595, 601, 611, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 708, 711, 712, 714, 715, 722, 724, 728, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 758, 761, 765, 775, 776, 778, 779, 781, 782, 783, 784, 788, 792, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 853, 854, 855, 856, 858, 861, 862], "question": [0, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 844, 845, 846], "ping": 0, "me": [0, 806], "guillermo": 0, "commun": [0, 41, 800, 804, 805, 806, 840, 845, 854, 855, 857], "ux": 0, "team": [0, 799, 800, 804, 805, 806, 826, 841, 857], "discord": [0, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846], "channel": [0, 24, 42, 52, 53, 56, 75, 76, 79, 97, 98, 368, 374, 391, 392, 393, 403, 489, 490, 491, 494, 533, 537, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 775, 776, 778, 779, 781, 782, 783, 784, 806, 811, 819, 828], "To": [0, 7, 8, 9, 11, 13, 17, 21, 22, 23, 24, 26, 27, 38, 41, 42, 43, 93, 242, 370, 445, 574, 619, 621, 778, 804, 805, 808, 809, 810, 811, 814, 816, 818, 819, 820, 822, 823, 826, 827, 828, 829, 830, 837, 838, 839, 841, 848, 849], "ensur": [0, 7, 8, 11, 13, 21, 22, 23, 24, 52, 53, 75, 76, 368, 369, 404, 405, 406, 437, 550, 621, 758, 799, 804, 805, 806, 809, 814, 815, 816, 818, 820, 821, 823, 825, 826, 827, 828, 829, 830, 841, 855], "similar": [0, 17, 26, 27, 277, 619, 623, 649, 779, 802, 804, 805, 812, 813, 814, 815, 818, 819, 820, 822, 823, 824, 826, 827, 829, 830, 837, 840, 844, 849, 851, 852, 853, 854, 861], "ar": [0, 1, 3, 4, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 43, 44, 47, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 69, 71, 74, 75, 76, 79, 80, 82, 84, 85, 86, 92, 93, 97, 98, 121, 131, 133, 136, 142, 196, 201, 203, 208, 232, 234, 235, 238, 242, 263, 264, 268, 273, 274, 278, 280, 285, 286, 287, 322, 324, 325, 326, 328, 331, 333, 334, 335, 338, 339, 344, 349, 352, 356, 361, 362, 363, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 377, 380, 384, 390, 391, 392, 393, 396, 401, 403, 411, 412, 421, 422, 426, 434, 435, 437, 441, 442, 446, 447, 451, 452, 453, 463, 464, 465, 467, 473, 476, 480, 481, 489, 491, 496, 497, 498, 499, 500, 510, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 536, 542, 547, 551, 562, 563, 572, 582, 594, 604, 616, 618, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 646, 647, 649, 652, 654, 658, 659, 660, 664, 665, 667, 670, 671, 674, 675, 679, 680, 681, 686, 687, 690, 694, 696, 706, 711, 716, 717, 718, 726, 727, 728, 731, 732, 733, 734, 736, 738, 758, 760, 763, 764, 765, 766, 771, 778, 781, 784, 785, 792, 793, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 851, 852, 855, 856, 857, 858, 859, 860, 861, 862], "across": [0, 7, 8, 9, 21, 22, 23, 24, 38, 62, 69, 76, 85, 97, 206, 207, 235, 242, 268, 286, 374, 491, 494, 525, 546, 581, 618, 619, 621, 623, 628, 631, 646, 649, 711, 731, 732, 779, 804, 808, 814, 816, 818, 821, 822, 824, 829, 832, 853, 855, 860], "templat": [0, 799, 811, 817, 829], "help": [0, 15, 42, 44, 49, 523, 568, 621, 634, 752, 778, 799, 800, 801, 804, 805, 809, 810, 811, 812, 813, 814, 816, 820, 822, 823, 825, 826, 829, 830, 836, 837, 838, 841, 842, 851, 855, 857, 861], "get": [0, 3, 4, 6, 7, 8, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 40, 41, 43, 49, 50, 57, 69, 73, 80, 97, 158, 159, 160, 163, 191, 192, 193, 196, 202, 207, 210, 214, 371, 478, 524, 542, 563, 581, 617, 618, 621, 624, 628, 681, 707, 763, 778, 779, 792, 800, 803, 804, 805, 807, 808, 813, 814, 815, 819, 822, 823, 824, 825, 826, 827, 828, 829, 834, 835, 836, 837, 838, 842, 846, 849, 850, 855, 861], "It": [0, 3, 8, 9, 18, 21, 22, 23, 24, 26, 27, 28, 29, 38, 39, 40, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 337, 341, 343, 345, 346, 347, 348, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 381, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 416, 418, 419, 427, 428, 431, 432, 433, 434, 442, 443, 444, 445, 447, 448, 458, 461, 466, 474, 475, 476, 477, 479, 481, 485, 489, 492, 493, 495, 496, 497, 499, 500, 510, 511, 512, 513, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 566, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 673, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 704, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 743, 744, 745, 748, 750, 751, 753, 754, 755, 778, 779, 799, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 816, 817, 823, 825, 826, 827, 828, 829, 830, 831, 832, 834, 836, 837, 838, 847, 850, 853, 855, 856, 858, 859, 860, 861, 862], "locat": [0, 42, 136, 380, 511, 616, 628, 630, 633, 709, 725, 742, 793, 804, 806, 810, 811, 815, 826, 827, 829, 830, 841, 853], "asset": [0, 842], "01_templat": 0, "ipynb": 0, "pleas": [0, 32, 41, 45, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846], "make": [0, 3, 5, 6, 7, 8, 9, 18, 26, 27, 28, 40, 44, 52, 75, 368, 411, 788, 799, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 841, 845, 846, 849, 853, 855, 856, 857, 858, 861, 862], "copi": [0, 42, 45, 48, 49, 50, 51, 52, 53, 59, 69, 71, 72, 73, 74, 75, 76, 82, 92, 96, 122, 123, 124, 128, 139, 147, 209, 269, 371, 449, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 569, 579, 586, 587, 616, 617, 618, 619, 621, 626, 628, 633, 689, 690, 691, 693, 695, 696, 698, 700, 706, 741, 743, 771, 793, 805, 806, 808, 810, 813, 814, 817, 826, 827, 834, 840, 848, 849, 850], "firstli": [0, 18, 19, 22, 28, 29, 33, 38, 809, 814, 816, 817, 818, 822, 823, 825, 832, 837, 851, 861], "updat": [0, 4, 5, 6, 8, 9, 20, 21, 22, 23, 24, 26, 27, 40, 42, 47, 53, 54, 69, 76, 77, 92, 371, 478, 550, 564, 565, 568, 569, 591, 602, 603, 606, 608, 609, 610, 621, 622, 623, 627, 628, 646, 648, 702, 703, 704, 712, 713, 717, 722, 723, 771, 776, 782, 783, 788, 793, 799, 804, 805, 806, 807, 808, 809, 812, 813, 814, 816, 821, 823, 824, 826, 827, 829, 832, 834, 836, 837, 839, 840], "file": [0, 40, 41, 42, 53, 69, 577, 599, 621, 781, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 815, 817, 818, 819, 820, 822, 826, 827, 828, 829, 830, 834, 837, 841, 851, 854, 855, 856], "name": [0, 6, 26, 27, 38, 40, 41, 42, 52, 57, 63, 67, 75, 80, 86, 90, 242, 368, 369, 371, 415, 421, 483, 486, 523, 524, 619, 621, 624, 632, 658, 659, 663, 671, 672, 674, 675, 679, 736, 737, 738, 760, 764, 771, 781, 788, 789, 791, 804, 805, 806, 810, 811, 812, 813, 816, 817, 818, 821, 826, 827, 829, 830, 831, 832, 834, 837, 839, 855], "match": [0, 49, 52, 69, 72, 75, 147, 242, 277, 333, 335, 365, 368, 371, 412, 456, 478, 482, 560, 617, 619, 621, 624, 659, 660, 665, 681, 758, 802, 804, 809, 811, 812, 816, 819, 827, 856, 861], "topic": [0, 15, 18, 19, 20, 28, 29, 30, 31, 32, 33, 823, 836, 855], "your": [0, 2, 3, 4, 6, 8, 9, 11, 13, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 30, 38, 40, 42, 44, 799, 800, 802, 803, 804, 805, 808, 810, 811, 813, 817, 819, 820, 824, 826, 828, 830, 832, 837, 838, 840, 841, 845, 846, 848, 849, 855], "Then": [0, 45, 623, 649, 801, 804, 805, 806, 810, 811, 813, 819, 820, 823, 825, 829, 830, 840], "place": [0, 7, 8, 21, 22, 23, 24, 40, 47, 48, 51, 52, 53, 57, 59, 69, 71, 73, 74, 75, 76, 80, 82, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 269, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 306, 307, 310, 322, 323, 328, 329, 330, 332, 335, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 463, 473, 478, 481, 497, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 549, 550, 564, 568, 582, 587, 591, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 783, 799, 802, 803, 806, 807, 808, 811, 812, 813, 815, 816, 817, 819, 821, 822, 826, 827, 829, 830, 832, 839, 842, 857], "its": [0, 8, 17, 19, 26, 27, 29, 32, 39, 40, 42, 47, 49, 52, 59, 69, 72, 75, 76, 82, 95, 107, 110, 113, 118, 148, 153, 154, 155, 156, 157, 208, 235, 268, 287, 296, 360, 368, 371, 380, 407, 415, 486, 513, 537, 585, 613, 615, 617, 618, 619, 621, 624, 626, 628, 664, 689, 693, 694, 698, 711, 760, 793, 799, 804, 805, 809, 812, 813, 814, 815, 817, 818, 819, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 839, 840, 842, 848, 854, 855, 861], "folder": [0, 7, 8, 21, 22, 23, 24, 42, 799, 805, 806, 808, 811, 813, 819, 822, 826, 829, 830, 831], "next": [0, 5, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 40, 42, 52, 75, 160, 341, 345, 350, 354, 365, 617, 778, 783, 799, 804, 805, 806, 810, 814, 816, 817, 819, 820, 823, 835, 836, 837, 846, 855, 857], "edit": [0, 804, 805, 806, 820], "titl": [0, 9, 12, 14, 25, 41, 44, 799, 804, 806, 811], "descript": [0, 1, 35, 36, 37, 42, 45, 48, 51, 52, 57, 74, 75, 80, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 806, 817, 824, 825], "accordingli": [0, 52, 57, 62, 63, 65, 66, 75, 80, 85, 88, 89, 134, 235, 240, 242, 258, 268, 282, 329, 330, 365, 616, 619, 624, 631, 632, 634, 635, 681, 732, 736, 737, 738, 739, 747, 748, 749, 750, 751, 752, 753, 754, 755, 826, 834, 841], "thei": [0, 9, 33, 38, 43, 52, 57, 61, 63, 69, 80, 84, 86, 173, 287, 339, 365, 617, 619, 624, 627, 630, 632, 679, 702, 703, 725, 736, 758, 784, 799, 803, 804, 805, 807, 808, 810, 811, 812, 813, 814, 815, 816, 818, 820, 822, 823, 825, 826, 829, 830, 832, 834, 836, 837, 838, 839, 840, 848, 852, 855, 857, 858, 861, 862], "render": [0, 811, 817], "correctli": [0, 23, 26, 27, 40, 52, 57, 62, 75, 80, 85, 334, 365, 380, 516, 517, 518, 519, 520, 624, 631, 665, 731, 804, 805, 806, 809, 812, 814, 816, 818, 820, 821, 827, 829, 832, 838, 840, 848, 849], "webpag": [0, 15], "content": [0, 1, 12, 14, 25, 26, 41, 42, 52, 69, 75, 380, 517, 804, 806, 811, 815, 825, 828, 834, 837, 841], "behind": [0, 17, 26, 799, 807, 821, 829, 833, 835], "exist": [0, 17, 26, 27, 40, 41, 42, 45, 48, 52, 53, 69, 71, 75, 76, 82, 123, 371, 451, 452, 458, 459, 461, 463, 464, 465, 472, 487, 532, 568, 621, 626, 687, 689, 690, 691, 693, 695, 696, 698, 700, 783, 785, 799, 804, 805, 808, 810, 815, 816, 817, 822, 823, 825, 826, 829, 832, 834, 840, 842, 844, 845, 853, 855, 858, 861], "cell": [0, 1, 3, 4, 5, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 41, 56, 79, 623, 648, 779, 813, 834], "where": [0, 6, 19, 23, 29, 30, 34, 42, 48, 51, 52, 53, 57, 59, 61, 62, 65, 66, 69, 71, 74, 75, 76, 80, 82, 84, 85, 88, 89, 92, 93, 130, 131, 134, 136, 142, 223, 233, 235, 238, 240, 242, 243, 252, 257, 258, 259, 266, 267, 268, 273, 275, 279, 281, 285, 294, 296, 322, 324, 325, 326, 340, 344, 351, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 382, 383, 384, 390, 395, 396, 400, 415, 421, 422, 426, 427, 429, 435, 441, 442, 451, 452, 453, 467, 473, 489, 490, 491, 494, 496, 497, 499, 500, 510, 518, 519, 520, 550, 564, 601, 616, 619, 621, 623, 624, 626, 628, 630, 631, 634, 635, 649, 654, 658, 659, 663, 665, 667, 669, 670, 671, 674, 675, 678, 680, 686, 688, 689, 691, 697, 701, 709, 716, 725, 726, 727, 728, 733, 734, 749, 751, 753, 754, 755, 763, 778, 782, 793, 799, 800, 802, 805, 806, 808, 809, 810, 811, 812, 814, 815, 817, 818, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 841, 844, 845, 846, 848, 853, 862], "The": [0, 3, 5, 6, 7, 8, 9, 15, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 39, 40, 42, 43, 44, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 128, 129, 131, 133, 136, 138, 139, 140, 141, 142, 144, 145, 146, 147, 148, 150, 152, 153, 154, 155, 156, 157, 159, 161, 162, 163, 165, 167, 168, 169, 172, 173, 175, 176, 178, 179, 180, 181, 187, 188, 189, 190, 191, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 339, 341, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 418, 419, 420, 421, 422, 424, 426, 436, 437, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 460, 462, 463, 464, 465, 469, 472, 473, 478, 479, 481, 482, 483, 484, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 499, 501, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 523, 525, 526, 527, 528, 529, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 559, 561, 564, 565, 568, 570, 571, 574, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 766, 771, 775, 776, 778, 779, 781, 782, 783, 788, 792, 793, 799, 800, 801, 802, 804, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 827, 829, 830, 832, 833, 834, 837, 838, 839, 841, 842, 843, 844, 846, 848, 849, 850, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "h2": [0, 1, 12, 14, 25], "tag": [0, 1, 12, 14, 25, 805, 806], "section": [0, 1, 8, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 46, 52, 63, 75, 107, 368, 371, 401, 412, 459, 468, 487, 632, 736, 737, 738, 739, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 828, 829, 830, 832, 833, 837, 838, 850, 851, 858, 861], "h3": [0, 1, 12, 14, 25], "subsect": [0, 1, 12, 14, 25, 804, 805, 806, 808, 813], "step": [0, 1, 12, 13, 14, 25, 26, 27, 38, 40, 41, 42, 52, 54, 71, 75, 77, 121, 132, 368, 371, 413, 415, 467, 602, 603, 606, 608, 609, 610, 616, 622, 627, 702, 703, 704, 783, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 819, 824, 826, 829, 834, 837, 838, 839, 846, 855], "explan": [0, 1, 12, 14, 25, 804, 805, 806, 812, 817, 821, 826, 830, 836], "go": [0, 4, 11, 13, 17, 24, 27, 32, 47, 52, 75, 79, 368, 410, 414, 628, 716, 717, 799, 800, 802, 804, 805, 806, 807, 810, 811, 814, 816, 819, 820, 826, 827, 829, 830, 833, 837, 840, 851, 855, 856, 860, 862], "default": [0, 3, 5, 26, 27, 40, 41, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 95, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 167, 168, 173, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 191, 192, 194, 195, 199, 202, 203, 204, 206, 207, 208, 209, 212, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 383, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 418, 419, 420, 422, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 456, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 560, 561, 564, 565, 568, 569, 574, 578, 579, 580, 582, 584, 586, 587, 600, 601, 602, 603, 604, 605, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 784, 792, 793, 804, 805, 806, 810, 811, 814, 815, 816, 817, 818, 821, 822, 826, 829, 832, 834, 838, 842, 848, 855], "which": [0, 3, 8, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 39, 40, 41, 42, 43, 44, 46, 48, 49, 50, 51, 52, 53, 54, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 95, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 143, 144, 148, 150, 152, 158, 160, 163, 165, 168, 175, 187, 192, 196, 201, 203, 206, 207, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 316, 319, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 341, 343, 344, 345, 346, 348, 349, 350, 352, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 410, 411, 412, 414, 419, 422, 432, 435, 436, 437, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 478, 479, 480, 481, 482, 483, 489, 491, 492, 493, 495, 496, 497, 498, 499, 500, 502, 503, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 562, 563, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 671, 672, 673, 674, 678, 680, 681, 683, 684, 685, 686, 687, 689, 690, 692, 693, 694, 695, 696, 697, 700, 701, 710, 711, 712, 713, 718, 720, 721, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 775, 776, 778, 779, 780, 781, 782, 783, 784, 788, 789, 795, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 833, 834, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 851, 852, 853, 854, 855, 856, 858, 860, 861, 862], "text": [0, 4, 7, 9, 40, 52, 53, 369, 434, 804, 806, 811, 816, 817], "paragraph": [0, 1, 12, 14, 25, 811], "p": [0, 1, 12, 14, 25, 38, 52, 53, 57, 75, 76, 80, 93, 134, 239, 369, 374, 418, 495, 528, 529, 616, 619, 621, 624, 628, 665, 681, 713, 779, 799, 805, 806, 807], "without": [0, 3, 9, 29, 38, 42, 45, 63, 69, 95, 574, 588, 621, 626, 628, 632, 693, 706, 736, 737, 738, 739, 763, 766, 792, 805, 806, 809, 810, 812, 813, 814, 815, 816, 818, 821, 822, 826, 829, 830, 832, 836, 837, 838, 840, 848, 852, 855, 856, 857, 861], "path": [0, 7, 8, 9, 21, 22, 23, 24, 41, 42, 760, 771, 787, 805, 811, 825, 826, 827, 841, 855], "correspond": [0, 3, 6, 8, 13, 26, 27, 41, 49, 51, 52, 53, 56, 59, 62, 63, 65, 69, 72, 74, 75, 79, 82, 88, 92, 95, 98, 148, 160, 163, 223, 273, 287, 325, 338, 339, 362, 365, 368, 369, 371, 374, 380, 390, 396, 407, 412, 418, 421, 422, 423, 440, 464, 465, 489, 490, 491, 494, 511, 512, 579, 601, 617, 619, 621, 623, 624, 626, 630, 631, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 654, 658, 659, 665, 672, 673, 693, 694, 725, 731, 732, 736, 737, 738, 739, 744, 745, 750, 751, 752, 753, 760, 763, 765, 792, 799, 804, 806, 809, 810, 812, 813, 814, 816, 817, 818, 821, 822, 824, 826, 829, 832, 834, 848, 849, 850, 855], "toctre": [0, 811], "index": [0, 40, 41, 42, 45, 48, 52, 53, 59, 62, 63, 64, 69, 71, 75, 76, 82, 85, 86, 87, 127, 134, 204, 307, 314, 315, 324, 325, 326, 362, 368, 369, 371, 376, 378, 380, 390, 396, 427, 429, 434, 456, 463, 466, 474, 476, 478, 481, 482, 485, 501, 502, 511, 520, 523, 541, 543, 564, 565, 569, 614, 616, 618, 621, 626, 628, 631, 632, 633, 693, 697, 707, 708, 709, 712, 713, 714, 720, 722, 731, 732, 734, 736, 737, 738, 740, 742, 764, 779, 793, 795, 812, 813, 818, 822, 823, 824, 825, 827, 829, 836, 855], "rst": [0, 822], "left": [0, 19, 29, 40, 41, 52, 57, 62, 64, 75, 80, 85, 87, 115, 116, 227, 242, 334, 349, 356, 365, 366, 368, 369, 371, 380, 402, 421, 426, 430, 437, 439, 464, 474, 515, 516, 517, 518, 519, 520, 533, 615, 619, 621, 624, 631, 633, 658, 659, 665, 674, 679, 731, 742, 763, 805, 806, 808, 811, 813, 814, 816, 819], "mai": [0, 50, 51, 52, 57, 63, 64, 73, 74, 80, 87, 97, 98, 121, 128, 139, 209, 235, 236, 242, 247, 255, 263, 264, 268, 269, 271, 286, 329, 330, 365, 396, 532, 568, 616, 618, 619, 621, 624, 632, 633, 634, 672, 681, 736, 737, 738, 739, 740, 743, 747, 748, 749, 751, 763, 793, 803, 804, 805, 806, 808, 812, 813, 814, 818, 819, 822, 823, 824, 826, 827, 829, 832, 835, 836, 838, 846, 862], "need": [0, 3, 6, 8, 15, 17, 23, 24, 26, 27, 40, 41, 42, 52, 53, 59, 75, 76, 82, 368, 369, 380, 390, 395, 396, 400, 421, 517, 528, 529, 550, 621, 623, 624, 626, 628, 649, 658, 686, 689, 716, 764, 799, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 816, 817, 818, 819, 820, 822, 823, 824, 825, 826, 827, 828, 830, 832, 834, 836, 837, 840, 841, 846, 848, 849, 851, 855, 856, 857, 861], "add": [0, 19, 29, 42, 44, 51, 52, 60, 67, 69, 74, 75, 83, 90, 97, 98, 356, 366, 368, 370, 371, 410, 446, 478, 560, 588, 619, 621, 623, 624, 629, 634, 649, 678, 724, 752, 760, 771, 779, 782, 799, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 819, 820, 821, 822, 823, 825, 826, 829, 830, 832, 834, 836, 840, 841, 851, 853, 855], "grid": [0, 42, 48, 134, 310, 362, 616, 816, 829], "item": [0, 4, 26, 27, 38, 40, 42, 47, 53, 67, 69, 71, 74, 75, 76, 129, 154, 191, 245, 261, 269, 335, 338, 351, 530, 540, 541, 545, 579, 580, 616, 617, 618, 621, 628, 635, 710, 711, 712, 713, 717, 722, 723, 757, 799, 804, 812, 814, 834, 836, 837, 839, 848], "card": [0, 52, 75, 353, 365, 860], "refer": [0, 5, 52, 59, 65, 66, 75, 77, 82, 88, 89, 127, 142, 240, 258, 307, 322, 351, 362, 365, 368, 369, 371, 396, 401, 412, 419, 441, 463, 602, 603, 616, 619, 622, 624, 626, 634, 635, 654, 656, 680, 693, 751, 753, 754, 755, 779, 799, 803, 804, 805, 806, 808, 809, 811, 813, 814, 821, 822, 823, 824, 825, 826, 827, 828, 829, 840, 841, 842, 855], "also": [0, 3, 4, 6, 8, 9, 11, 13, 17, 19, 21, 22, 24, 26, 27, 29, 31, 32, 33, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 93, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 163, 166, 167, 168, 170, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 368, 369, 371, 378, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 622, 623, 624, 626, 627, 628, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 715, 716, 717, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 778, 779, 788, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 841, 844, 845, 848, 849, 851, 852, 853, 854, 855, 856, 858, 860, 861, 862], "look": [0, 5, 17, 26, 27, 40, 42, 45, 799, 802, 804, 805, 806, 810, 811, 812, 814, 815, 816, 818, 819, 820, 821, 822, 826, 827, 829, 830, 831, 832, 834, 836, 838, 839, 841, 844, 848, 851, 855], "document": [0, 17, 26, 59, 242, 329, 330, 365, 601, 619, 621, 697, 800, 801, 803, 806, 811, 813, 814, 816, 825, 826, 827, 829, 837, 839], "sphinx": [0, 801, 811], "design": [0, 9, 17, 26, 75, 242, 306, 311, 312, 362, 619, 799, 807, 811, 813, 814, 825, 826, 827, 828, 832, 834, 836, 840, 844, 845, 851, 853, 855, 858, 859, 860], "websit": [0, 44, 805, 808, 845], "alreadi": [1, 8, 18, 21, 22, 23, 24, 26, 27, 32, 40, 42, 45, 52, 57, 69, 75, 80, 231, 241, 268, 278, 288, 371, 380, 452, 453, 473, 508, 517, 619, 624, 661, 669, 792, 793, 799, 804, 805, 806, 810, 812, 814, 815, 821, 825, 826, 832, 840, 841, 855, 857, 862], "instal": [1, 5, 6, 8, 9, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 40, 42, 43, 44, 45, 801, 805, 806, 810, 811, 819, 820], "skip": [1, 4, 42, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 369, 371, 391, 392, 393, 411, 427, 429, 434, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 474, 477, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 764, 792, 811, 822, 829], "colab": [1, 4, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 40, 42, 44, 45], "manual": [1, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 628, 705, 715, 716, 804, 805, 806, 814, 820, 829, 838, 841], "do": [1, 3, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 38, 40, 42, 52, 53, 69, 75, 76, 235, 268, 277, 368, 370, 371, 380, 413, 446, 458, 517, 520, 550, 619, 621, 628, 705, 712, 715, 716, 717, 722, 765, 793, 799, 802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 830, 832, 834, 836, 837, 838, 839, 840, 842, 846, 856, 861, 862], "run": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 40, 42, 43, 44, 52, 54, 75, 77, 374, 489, 491, 602, 603, 608, 622, 627, 702, 703, 704, 760, 761, 779, 780, 781, 782, 792, 799, 801, 804, 805, 807, 809, 810, 813, 815, 816, 818, 820, 821, 823, 826, 827, 834, 835, 836, 837, 838, 839, 840, 841, 848, 849, 850, 853, 855, 856, 857, 858, 860, 861, 862], "below": [1, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 31, 32, 33, 38, 41, 42, 43, 48, 52, 57, 75, 80, 88, 140, 141, 142, 242, 252, 275, 322, 323, 332, 362, 365, 371, 481, 616, 619, 624, 657, 678, 753, 800, 802, 804, 805, 807, 808, 812, 813, 814, 815, 816, 818, 819, 822, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 848, 849, 850, 851, 853, 858, 860], "mind": [1, 11, 13, 17, 23, 26, 30, 804, 805, 809, 812, 829, 841, 849], "packag": [1, 3, 5, 7, 8, 11, 21, 22, 23, 24, 27, 40, 41, 42, 45, 791, 799, 802, 805, 813, 826, 840, 841, 855, 857], "avail": [1, 3, 5, 7, 21, 22, 24, 26, 27, 42, 53, 76, 191, 197, 199, 200, 211, 534, 618, 621, 624, 675, 764, 799, 805, 806, 812, 813, 814, 815, 817, 818, 826, 829, 832, 840, 841, 844, 848, 849, 850, 860, 861], "click": [1, 3, 42, 804, 805, 806, 813, 817, 819, 820, 835], "runtim": [1, 3, 4, 5, 6, 7, 8, 19, 26, 29, 40, 41, 807, 822, 829, 832, 855], "restart": [1, 3, 4, 5, 7, 40, 41, 805, 819], "pip": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 44, 45, 802, 805, 811, 820], "q": [1, 3, 4, 5, 6, 7, 8, 9, 40, 41, 42, 52, 56, 57, 75, 79, 80, 355, 365, 369, 380, 421, 520, 623, 624, 628, 649, 652, 658, 659, 671, 713, 805, 806, 807, 827, 840], "git": [1, 3, 4, 5, 7, 26, 40, 41, 42, 43, 799, 801, 803, 805, 806, 808, 811, 813, 819, 820, 829, 841], "clone": [1, 3, 5, 7, 26, 40, 42, 43, 799, 801, 806, 819, 841], "http": [1, 3, 4, 5, 6, 7, 8, 13, 21, 22, 23, 24, 26, 27, 40, 41, 42, 43, 44, 45, 51, 52, 74, 75, 77, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 602, 603, 616, 617, 619, 622, 624, 626, 634, 672, 673, 701, 751, 799, 801, 805, 806, 808, 811, 813, 814, 817, 819, 841, 849], "github": [1, 3, 4, 5, 7, 26, 40, 41, 42, 43, 44, 799, 801, 803, 806, 808, 811, 813, 814, 816, 817, 819, 820, 828, 829, 841, 844], "com": [1, 3, 4, 5, 7, 13, 26, 40, 41, 42, 43, 44, 799, 801, 805, 806, 808, 811, 813, 814, 819, 841], "unifyai": [1, 3, 5, 7, 26, 40, 41, 42, 43, 44, 799, 801, 805, 806, 811, 819, 841], "model": [1, 2, 3, 9, 10, 15, 16, 17, 43, 45, 235, 268, 370, 442, 619, 776, 780, 781, 799, 837, 838, 842, 848, 849, 853, 854, 855, 856, 857, 858, 859, 861, 862], "depth": [1, 3, 5, 7, 41, 48, 52, 56, 71, 75, 79, 136, 368, 371, 403, 460, 533, 545, 616, 621, 623, 641, 642, 806, 813, 837, 838, 839, 841], "1": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 142, 144, 147, 148, 149, 150, 154, 158, 159, 160, 163, 168, 170, 175, 191, 192, 196, 200, 201, 203, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 435, 436, 438, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 562, 564, 565, 569, 578, 579, 580, 581, 582, 584, 586, 587, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 768, 771, 775, 778, 779, 780, 781, 782, 783, 784, 788, 792, 793, 799, 802, 805, 806, 808, 810, 811, 812, 813, 814, 815, 816, 818, 819, 820, 821, 822, 824, 825, 826, 827, 829, 832, 833, 834, 836, 837, 838, 839, 840, 845, 846, 848, 849, 850], "from": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 38, 39, 40, 42, 43, 44, 45, 47, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 62, 65, 66, 67, 69, 70, 71, 72, 74, 75, 76, 77, 79, 80, 82, 84, 85, 88, 89, 90, 92, 93, 95, 98, 121, 123, 126, 128, 129, 130, 131, 134, 135, 138, 142, 144, 150, 168, 174, 175, 191, 196, 201, 207, 208, 234, 242, 243, 270, 274, 275, 282, 286, 306, 307, 313, 316, 322, 324, 325, 326, 333, 336, 339, 340, 342, 343, 355, 359, 362, 365, 367, 368, 369, 370, 371, 375, 380, 391, 392, 393, 407, 412, 413, 430, 437, 442, 446, 456, 459, 468, 473, 479, 481, 482, 484, 486, 487, 496, 497, 498, 499, 500, 511, 512, 532, 540, 541, 543, 563, 574, 584, 601, 603, 604, 608, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 631, 632, 634, 635, 637, 645, 646, 654, 657, 674, 678, 679, 680, 687, 690, 693, 696, 702, 703, 704, 706, 717, 718, 719, 725, 726, 727, 728, 732, 735, 736, 738, 744, 745, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 778, 779, 780, 781, 783, 788, 793, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 842, 844, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 857, 859, 860, 861, 862], "repositori": [1, 3, 5, 7, 801, 804, 805, 806, 807, 808, 811, 819, 828, 846], "cd": [1, 3, 5, 7, 26, 43, 799, 801, 805, 806, 819, 841], "here": [1, 3, 9, 12, 14, 17, 22, 25, 26, 27, 38, 40, 41, 42, 43, 45, 75, 278, 448, 619, 799, 802, 803, 804, 805, 806, 808, 810, 811, 812, 813, 814, 816, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 834, 835, 836, 837, 838, 839, 840, 848, 849, 850, 855, 856], "normal": [1, 3, 7, 11, 12, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 40, 41, 52, 60, 61, 75, 83, 84, 92, 93, 352, 365, 368, 374, 380, 389, 390, 395, 396, 399, 400, 401, 411, 412, 489, 490, 491, 492, 493, 494, 495, 510, 513, 626, 629, 630, 687, 697, 724, 725, 727, 778, 779, 782, 799, 804, 825, 826, 832, 837, 848, 850, 853], "resnet": [2, 8, 15, 26, 848, 849], "imag": [2, 3, 6, 8, 11, 15, 23, 26, 27, 40, 41, 42, 43, 44, 45, 51, 52, 56, 74, 75, 79, 97, 215, 216, 217, 218, 221, 224, 233, 236, 238, 240, 249, 250, 251, 256, 258, 271, 278, 279, 281, 282, 286, 368, 386, 387, 403, 404, 405, 407, 533, 619, 621, 623, 636, 637, 638, 639, 640, 643, 644, 645, 779, 799, 805, 819, 832, 834, 835, 837, 839, 841, 848, 849, 855], "classif": [2, 3, 7, 9, 15, 40, 799, 855], "acceler": [2, 15, 799, 814, 826, 853, 857, 858, 859, 860], "pytorch": [2, 3, 4, 5, 6, 7, 10, 12, 13, 15, 16, 24, 26, 27, 38, 45, 278, 329, 330, 365, 619, 783, 799, 803, 804, 809, 814, 815, 818, 821, 822, 825, 826, 827, 832, 834, 839, 840, 842, 845, 846, 848, 849, 856, 858, 859, 861, 862], "jax": [2, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 38, 40, 44, 46, 51, 52, 53, 63, 68, 74, 75, 76, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 342, 360, 365, 380, 520, 550, 582, 601, 613, 619, 621, 632, 736, 737, 738, 739, 771, 775, 788, 799, 802, 803, 804, 805, 806, 808, 810, 814, 815, 818, 819, 821, 824, 825, 826, 827, 829, 830, 832, 834, 836, 839, 840, 845, 846, 848, 849, 850, 856, 858, 861, 862], "convert": [2, 5, 6, 8, 9, 11, 13, 15, 16, 18, 20, 23, 24, 26, 27, 28, 30, 32, 40, 43, 45, 47, 48, 51, 69, 70, 71, 74, 92, 122, 123, 135, 145, 146, 188, 189, 190, 191, 202, 210, 214, 234, 274, 371, 376, 451, 452, 453, 501, 566, 583, 585, 586, 587, 589, 616, 617, 618, 619, 621, 624, 628, 682, 706, 717, 718, 760, 788, 792, 799, 804, 809, 810, 823, 824, 826, 829, 831, 834, 840, 842, 846, 849, 853, 854, 861], "them": [2, 3, 6, 8, 11, 13, 15, 26, 27, 32, 369, 436, 527, 563, 621, 763, 779, 799, 801, 804, 806, 808, 809, 810, 811, 812, 813, 814, 818, 820, 823, 825, 826, 827, 829, 831, 834, 836, 837, 838, 840, 842, 843, 844, 845, 846, 847, 848, 849, 850, 852, 853, 855, 857, 861], "faster": [2, 3, 6, 8, 9, 15, 26, 27, 43, 45, 52, 57, 75, 80, 369, 439, 624, 674, 801, 803, 811, 842, 857, 860], "infer": [2, 6, 8, 9, 15, 19, 29, 31, 32, 41, 43, 45, 48, 52, 53, 56, 59, 71, 75, 76, 79, 82, 121, 123, 126, 130, 131, 135, 138, 144, 153, 154, 155, 156, 157, 306, 307, 368, 375, 403, 498, 544, 578, 616, 617, 621, 623, 626, 646, 693, 788, 789, 807, 810, 814, 815, 829, 834, 839, 849, 853, 854, 857, 859], "mmpretrain": [2, 15], "segment": [2, 15, 52, 75, 324, 325, 326, 362, 811, 816], "unet": [2, 15], "alexnet": [2, 15], "In": [2, 3, 4, 11, 13, 15, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 45, 50, 52, 53, 59, 73, 75, 76, 82, 92, 93, 202, 209, 210, 214, 218, 235, 236, 242, 250, 251, 268, 271, 277, 279, 368, 371, 374, 391, 392, 393, 413, 451, 452, 453, 459, 461, 463, 464, 465, 466, 468, 472, 478, 479, 487, 489, 491, 523, 543, 550, 568, 618, 619, 621, 624, 626, 630, 672, 689, 690, 691, 693, 695, 696, 698, 700, 728, 799, 804, 805, 806, 808, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 836, 837, 838, 839, 840, 844, 846, 848, 849, 850, 851, 853, 855, 856, 858, 861], "we": [2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 43, 44, 45, 52, 57, 58, 59, 67, 75, 80, 81, 90, 92, 93, 113, 357, 367, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 483, 487, 533, 543, 582, 604, 605, 607, 612, 613, 621, 622, 624, 625, 626, 667, 683, 689, 690, 691, 693, 695, 696, 698, 700, 775, 781, 788, 793, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 850, 851, 855, 856, 860, 861], "show": [2, 3, 4, 7, 15, 21, 26, 27, 28, 29, 31, 38, 40, 42, 43, 567, 576, 598, 621, 799, 804, 805, 806, 811, 813, 816, 820, 825, 826, 829, 831, 840, 848, 855], "how": [2, 3, 4, 5, 6, 8, 11, 13, 15, 16, 17, 18, 19, 21, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 38, 41, 44, 45, 46, 51, 52, 68, 74, 75, 95, 105, 106, 107, 108, 109, 110, 111, 112, 113, 235, 268, 286, 290, 294, 295, 297, 360, 371, 456, 481, 482, 613, 619, 775, 778, 779, 780, 781, 799, 800, 801, 802, 803, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 823, 824, 825, 826, 827, 830, 831, 832, 833, 835, 836, 837, 838, 839, 840, 844, 846, 851, 855], "written": [2, 3, 4, 15, 17, 26, 27, 40, 53, 371, 462, 805, 808, 809, 817, 820, 821, 825, 826, 830, 834, 836, 839, 840, 844, 849, 853, 855, 859, 861, 862], "xgboost": [2, 15], "video": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 799, 800, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 841, 853], "tutori": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 799, 806, 826, 841], "nativ": [3, 4, 8, 17, 21, 22, 23, 24, 26, 27, 47, 48, 49, 50, 53, 70, 73, 76, 97, 101, 135, 145, 146, 152, 153, 154, 155, 156, 157, 171, 174, 189, 190, 191, 192, 202, 210, 214, 550, 552, 556, 563, 568, 585, 616, 617, 618, 621, 760, 771, 776, 788, 799, 802, 804, 814, 815, 818, 819, 822, 823, 825, 826, 827, 829, 834, 836, 837, 842, 848, 849, 850, 853, 862], "integr": [3, 4, 11, 13, 20, 27, 30, 49, 51, 52, 72, 74, 75, 147, 287, 348, 365, 380, 513, 617, 619, 799, 803, 805, 807, 823, 849, 853, 855, 857, 858, 859], "three": [3, 4, 15, 21, 31, 32, 42, 52, 134, 306, 362, 371, 453, 616, 805, 806, 812, 813, 814, 816, 826, 829, 832, 833, 834, 856, 861], "major": [3, 4, 631, 734, 814, 815, 827, 829, 840, 845, 852, 855], "ml": [3, 4, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 45, 799, 800, 803, 826, 833, 834, 835, 837, 838, 839, 843, 845, 846, 849, 851, 852, 853, 854, 855, 858, 860, 862], "framework": [3, 4, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 33, 40, 42, 44, 47, 53, 165, 187, 197, 200, 211, 531, 547, 551, 582, 585, 617, 618, 621, 628, 707, 758, 760, 764, 771, 776, 783, 788, 789, 799, 802, 804, 805, 807, 808, 809, 810, 811, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 829, 830, 832, 833, 834, 836, 839, 840, 841, 842, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 856, 859], "sinc": [3, 5, 7, 23, 24, 26, 27, 40, 42, 52, 75, 93, 365, 799, 801, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 818, 825, 826, 840, 845, 855, 861], "want": [3, 5, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 39, 40, 42, 52, 67, 75, 90, 235, 268, 371, 461, 619, 781, 799, 800, 801, 804, 805, 806, 811, 813, 815, 818, 820, 822, 823, 824, 825, 829, 832, 837, 838, 839, 840, 841, 845, 849], "after": [3, 4, 5, 6, 7, 8, 26, 27, 41, 52, 53, 54, 56, 60, 69, 75, 76, 77, 79, 83, 181, 282, 298, 302, 350, 360, 365, 368, 369, 371, 390, 391, 392, 393, 410, 414, 433, 462, 473, 550, 603, 606, 608, 609, 610, 617, 619, 621, 622, 623, 628, 629, 636, 637, 638, 639, 641, 643, 645, 646, 716, 724, 783, 788, 799, 804, 805, 806, 808, 810, 811, 813, 814, 816, 818, 821, 824, 827, 829, 833, 841, 848, 849, 855], "first": [3, 4, 5, 7, 11, 17, 19, 20, 21, 23, 26, 27, 29, 30, 31, 40, 43, 44, 45, 48, 51, 52, 57, 59, 61, 62, 63, 65, 71, 74, 75, 76, 80, 82, 84, 86, 88, 92, 93, 97, 98, 117, 118, 132, 133, 142, 173, 181, 191, 218, 223, 225, 227, 228, 229, 230, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 268, 271, 273, 284, 285, 296, 306, 307, 322, 324, 325, 326, 328, 340, 342, 343, 344, 350, 354, 355, 360, 362, 365, 368, 369, 370, 371, 378, 380, 390, 420, 421, 422, 424, 428, 447, 457, 459, 463, 470, 473, 475, 476, 479, 486, 497, 499, 503, 511, 512, 513, 520, 525, 615, 616, 617, 618, 619, 621, 623, 624, 626, 627, 628, 631, 632, 633, 634, 649, 654, 657, 658, 659, 661, 664, 669, 671, 672, 674, 676, 678, 680, 693, 694, 697, 698, 702, 703, 704, 705, 706, 715, 716, 718, 730, 731, 732, 736, 737, 738, 741, 742, 744, 745, 760, 778, 779, 780, 781, 783, 788, 799, 801, 803, 804, 805, 806, 808, 809, 810, 811, 812, 815, 816, 820, 821, 822, 823, 825, 826, 829, 832, 834, 836, 837, 839, 841, 844, 845, 848, 849, 853, 855, 856, 860], "notebook": [3, 4, 5, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 32, 41, 781, 799], "automat": [3, 5, 7, 24, 26, 27, 32, 799, 804, 805, 806, 807, 810, 811, 813, 814, 820, 822, 825, 829, 832, 833, 835, 838, 839, 841, 842, 846, 855, 858, 862], "sure": [3, 5, 6, 7, 8, 9, 26, 40, 804, 805, 806, 808, 813, 818, 819, 826, 827, 829, 832, 841], "gpu": [3, 4, 5, 6, 7, 8, 9, 40, 42, 44, 45, 191, 193, 194, 197, 200, 202, 204, 206, 207, 210, 212, 214, 618, 799, 805, 806, 813, 815, 836, 841, 853, 855, 858, 859, 860], "enabl": [3, 4, 5, 6, 7, 8, 9, 21, 22, 24, 41, 52, 57, 69, 80, 98, 368, 370, 390, 445, 568, 621, 624, 667, 781, 799, 805, 806, 809, 812, 814, 822, 823, 824, 825, 826, 829, 830, 833, 835, 837, 839, 840, 842, 845, 848, 853, 854, 855, 856, 857, 858, 861, 862], "dm": [3, 4, 5, 6, 8, 26, 27, 38, 40], "haiku": [3, 4, 5, 6, 8, 24, 26, 27, 38, 40, 44, 776, 799, 839, 846, 849, 855], "exit": [3, 5, 7, 26, 27, 815], "download": [3, 7, 11, 13, 26, 27, 41, 42, 45, 801, 805, 811, 829, 848, 849], "imagenet": [3, 13, 41, 43, 799], "class": [3, 5, 7, 9, 11, 13, 17, 26, 27, 38, 39, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 129, 138, 144, 160, 163, 176, 178, 179, 238, 275, 332, 353, 365, 379, 380, 387, 388, 421, 516, 517, 524, 533, 537, 550, 560, 582, 616, 617, 618, 619, 621, 623, 624, 625, 628, 629, 644, 648, 652, 658, 669, 673, 674, 676, 683, 699, 706, 717, 724, 739, 746, 750, 751, 760, 761, 768, 769, 770, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 787, 788, 792, 797, 799, 804, 810, 811, 812, 814, 815, 816, 817, 821, 823, 824, 827, 828, 829, 832, 834, 835, 837, 838, 839, 842, 848, 849, 853, 855, 856, 862], "preprocess": [3, 7, 9, 26, 27, 40, 43, 848], "wget": [3, 5, 7, 40, 41, 44, 805], "raw": [3, 5, 6, 7, 8, 23, 26, 27, 40, 43, 44, 69, 799, 817, 849, 856], "githubusercont": [3, 5, 7, 40, 44], "hub": [3, 5, 7, 40, 43, 45], "master": [3, 5, 7, 18, 19, 20, 28, 29, 30, 31, 32, 33, 40, 42, 43, 44, 813, 855], "imagenet_class": [3, 7], "txt": [3, 7, 41, 53, 805, 808, 811], "r": [3, 7, 40, 41, 52, 57, 69, 75, 80, 92, 93, 342, 357, 365, 367, 604, 622, 624, 626, 671, 700, 805, 806, 807, 824, 827], "f": [3, 4, 6, 7, 26, 27, 39, 40, 42, 52, 59, 75, 82, 296, 313, 360, 362, 371, 463, 484, 626, 628, 693, 708, 712, 713, 714, 717, 722, 723, 799, 800, 806, 807, 812, 813, 818, 830, 834, 836, 837, 846, 851], "categori": [3, 7, 804, 808, 809, 812, 814, 818, 826, 830, 833], "strip": [3, 7, 19, 29, 845], "readlin": [3, 7, 41], "cat": [3, 7, 41, 827, 832, 834, 839, 848, 849], "jpg": [3, 5, 6, 7, 8, 23, 26, 27, 42, 43, 799, 849], "filenam": [3, 5, 7, 26, 27, 40, 42, 45, 53, 781, 787, 837], "3": [3, 5, 6, 7, 8, 9, 11, 13, 17, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 127, 129, 131, 132, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 154, 158, 160, 168, 170, 175, 189, 191, 192, 203, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 433, 436, 438, 441, 442, 443, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 492, 493, 494, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 564, 565, 578, 579, 580, 584, 587, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 766, 779, 792, 793, 799, 802, 804, 805, 808, 809, 810, 812, 813, 814, 816, 818, 819, 822, 824, 827, 829, 834, 836, 837, 838, 839, 848, 849, 862], "import": [3, 6, 8, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 41, 43, 44, 45, 52, 63, 67, 71, 75, 90, 189, 190, 194, 204, 206, 292, 301, 380, 510, 545, 561, 618, 621, 627, 632, 703, 704, 739, 771, 788, 789, 799, 803, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 817, 820, 823, 824, 825, 826, 827, 828, 829, 830, 834, 836, 837, 839, 840, 841, 845, 848, 849, 850, 851, 853, 855, 858, 859, 861], "torchvis": [3, 6, 7, 40, 846], "transform": [3, 4, 6, 7, 8, 23, 26, 27, 40, 41, 43, 52, 56, 75, 79, 368, 369, 389, 390, 395, 396, 399, 400, 401, 411, 412, 415, 430, 623, 647, 763, 766, 779, 799, 823, 829, 839, 842, 848, 849, 853, 855, 856, 857], "pil": [3, 5, 6, 7, 8, 23, 26, 27, 41, 42, 43, 799, 849], "numpi": [3, 4, 5, 6, 8, 11, 13, 18, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 39, 40, 42, 43, 44, 45, 51, 52, 53, 65, 74, 75, 76, 142, 171, 189, 219, 279, 292, 301, 322, 362, 380, 510, 517, 526, 550, 579, 582, 586, 616, 617, 618, 619, 621, 634, 746, 758, 760, 771, 788, 792, 793, 799, 803, 804, 805, 806, 808, 809, 810, 813, 814, 815, 818, 819, 821, 825, 827, 829, 830, 832, 834, 836, 839, 841, 842, 844, 845, 848, 849, 850, 857, 862], "np": [3, 4, 5, 6, 8, 11, 13, 18, 21, 22, 23, 24, 26, 27, 28, 31, 32, 33, 38, 39, 40, 41, 42, 43, 45, 48, 51, 52, 74, 75, 76, 122, 123, 124, 135, 171, 248, 252, 292, 301, 368, 369, 395, 400, 416, 579, 616, 617, 619, 621, 628, 711, 760, 788, 792, 793, 799, 804, 809, 814, 815, 818, 821, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 842, 850], "warn": [3, 4, 5, 7, 8, 9, 21, 22, 23, 24, 40, 41, 42, 45, 796, 805, 806, 831, 848, 849, 850], "time": [3, 4, 6, 8, 24, 26, 27, 32, 40, 42, 43, 44, 52, 54, 57, 63, 75, 77, 86, 92, 93, 129, 335, 365, 368, 369, 371, 380, 396, 401, 413, 415, 434, 441, 473, 479, 510, 603, 608, 616, 622, 623, 624, 626, 627, 631, 632, 646, 648, 664, 699, 702, 703, 704, 731, 732, 736, 737, 779, 780, 781, 804, 805, 806, 808, 810, 812, 813, 814, 816, 819, 821, 822, 823, 825, 826, 829, 830, 834, 837, 839, 840, 841, 844, 845, 846, 848, 849, 853, 855, 856, 859, 860, 861], "filterwarn": [3, 4], "ignor": [3, 4, 39, 47, 48, 52, 69, 75, 134, 368, 369, 371, 380, 391, 392, 393, 422, 436, 475, 476, 480, 518, 616, 623, 624, 628, 649, 663, 716, 717, 783, 805, 811, 813, 816, 829, 840, 861], "compos": [3, 6, 7, 26, 27, 40, 52, 75, 368, 382, 383, 384, 805, 812, 826, 829, 848, 850, 855, 862], "resiz": [3, 5, 6, 7, 40, 41, 52, 75, 368, 403, 832], "256": [3, 5, 7, 51, 76, 278, 279, 580, 623, 638, 640, 763], "centercrop": [3, 7], "224": [3, 7, 11, 13, 26, 27, 40, 41, 43, 799, 849], "totensor": [3, 6, 7, 40], "mean": [3, 6, 7, 8, 9, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 41, 42, 52, 53, 56, 58, 59, 61, 65, 67, 69, 71, 75, 76, 79, 81, 82, 84, 88, 90, 92, 129, 208, 324, 334, 362, 365, 368, 369, 370, 371, 374, 375, 380, 396, 401, 419, 430, 442, 443, 444, 445, 446, 447, 448, 458, 463, 473, 489, 491, 497, 516, 517, 534, 604, 605, 607, 612, 616, 618, 621, 622, 623, 624, 625, 626, 627, 628, 630, 634, 638, 640, 641, 642, 644, 645, 646, 656, 683, 684, 685, 693, 702, 703, 704, 711, 726, 727, 763, 765, 766, 778, 779, 782, 799, 805, 806, 807, 808, 810, 812, 814, 815, 816, 822, 824, 825, 826, 829, 830, 832, 834, 836, 837, 838, 839, 840, 842, 849, 850, 852, 855], "0": [3, 4, 5, 6, 7, 8, 9, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 124, 127, 129, 130, 131, 132, 133, 136, 138, 140, 141, 142, 143, 144, 147, 148, 149, 150, 158, 160, 163, 164, 168, 170, 175, 188, 191, 193, 196, 201, 202, 203, 204, 206, 207, 208, 210, 212, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 227, 229, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 319, 320, 322, 323, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 386, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 410, 411, 412, 414, 417, 418, 419, 421, 422, 423, 426, 427, 429, 430, 431, 434, 435, 436, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 456, 458, 459, 460, 463, 464, 465, 466, 467, 468, 469, 470, 472, 473, 474, 475, 476, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 527, 528, 529, 532, 533, 534, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 560, 562, 564, 565, 569, 574, 578, 579, 580, 582, 584, 586, 587, 596, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 664, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 768, 775, 776, 778, 779, 780, 781, 782, 783, 784, 785, 788, 792, 793, 799, 802, 805, 806, 808, 810, 812, 813, 814, 815, 816, 817, 818, 819, 824, 825, 826, 827, 829, 830, 834, 836, 837, 838, 839, 840, 848, 849], "485": [3, 7, 40], "456": [3, 7, 40, 829], "406": [3, 7, 40, 52, 75, 389, 528, 621], "std": [3, 6, 7, 8, 9, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 41, 56, 61, 65, 79, 84, 88, 375, 497, 623, 630, 634, 638, 640, 641, 642, 644, 645, 726, 727, 799, 816, 850], "229": [3, 7, 40, 274, 619], "225": [3, 7, 40, 42, 229, 619], "torch_img": [3, 5, 7], "unsqueez": [3, 5, 6, 7], "img": [3, 5, 7, 23, 26, 27, 40, 41, 42, 44, 799, 837, 849], "4": [3, 4, 5, 6, 7, 8, 9, 11, 17, 19, 20, 21, 22, 23, 24, 26, 38, 39, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 112, 113, 121, 122, 123, 124, 127, 129, 131, 132, 133, 134, 135, 136, 138, 142, 144, 148, 149, 150, 158, 160, 163, 168, 170, 175, 192, 193, 201, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 261, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 314, 315, 322, 324, 329, 330, 332, 334, 335, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 349, 352, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 430, 436, 442, 443, 444, 445, 446, 447, 449, 451, 452, 453, 456, 457, 458, 459, 460, 463, 464, 465, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 486, 487, 488, 492, 493, 494, 495, 498, 500, 501, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 546, 548, 549, 550, 557, 564, 565, 579, 580, 581, 582, 584, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 643, 644, 645, 646, 647, 648, 652, 653, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 704, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 766, 778, 779, 783, 792, 793, 799, 802, 804, 805, 810, 811, 812, 813, 814, 816, 819, 824, 827, 829, 832, 834, 836, 837, 838, 839, 846, 848, 855, 861, 862], "ipython": [3, 5, 7, 21, 22, 23, 24, 26, 27, 45], "displai": [3, 5, 7, 23, 26, 27, 40, 41, 42, 44, 45, 805, 811, 813, 818, 829, 837], "end": [3, 5, 40, 41, 52, 75, 121, 223, 279, 346, 365, 368, 371, 415, 463, 473, 475, 476, 616, 619, 793, 799, 805, 806, 810, 813, 819, 825, 830, 832, 833, 840, 853, 858], "see": [3, 4, 6, 8, 9, 18, 19, 24, 26, 27, 28, 29, 33, 38, 39, 45, 46, 49, 51, 52, 57, 62, 63, 65, 66, 68, 74, 75, 80, 85, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 128, 132, 139, 142, 149, 168, 175, 218, 223, 225, 227, 228, 229, 230, 235, 236, 240, 242, 246, 247, 254, 255, 258, 260, 262, 264, 265, 268, 271, 273, 277, 284, 286, 289, 290, 294, 295, 297, 322, 329, 330, 360, 362, 365, 369, 370, 371, 418, 443, 481, 613, 616, 617, 619, 624, 631, 632, 634, 635, 654, 667, 670, 673, 680, 681, 732, 736, 737, 738, 739, 747, 748, 749, 750, 751, 752, 753, 754, 755, 775, 799, 800, 802, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 819, 820, 821, 822, 826, 827, 829, 832, 834, 836, 837, 840, 844, 851], "5": [3, 4, 5, 6, 7, 8, 9, 11, 19, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 60, 61, 62, 63, 64, 65, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 82, 83, 84, 85, 86, 87, 88, 92, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 121, 122, 123, 129, 131, 132, 133, 134, 135, 136, 137, 138, 143, 144, 148, 149, 150, 154, 158, 160, 168, 170, 175, 192, 201, 206, 209, 215, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 324, 327, 329, 330, 332, 334, 336, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 417, 420, 421, 423, 424, 426, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 457, 458, 459, 460, 463, 464, 467, 468, 469, 472, 473, 478, 479, 480, 481, 482, 483, 487, 488, 493, 494, 495, 498, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 517, 520, 526, 527, 528, 529, 532, 533, 534, 535, 537, 540, 541, 543, 546, 548, 549, 550, 564, 565, 569, 579, 580, 581, 582, 584, 588, 601, 602, 603, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 641, 642, 643, 644, 645, 646, 647, 648, 650, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 668, 669, 670, 671, 672, 674, 675, 676, 678, 679, 680, 683, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 779, 792, 793, 799, 804, 805, 806, 808, 810, 812, 813, 814, 816, 818, 819, 821, 824, 827, 829, 836, 837, 838, 849], "set_default_devic": [3, 4, 5, 6, 7, 8, 212, 618, 815], "set_soft_device_mod": [3, 9, 213, 618, 815], "true": [3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 20, 21, 23, 24, 26, 27, 31, 32, 33, 40, 41, 42, 43, 45, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 123, 124, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 151, 158, 160, 161, 162, 163, 166, 167, 168, 169, 170, 171, 172, 175, 187, 191, 192, 194, 195, 199, 202, 203, 204, 205, 209, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 460, 461, 463, 464, 465, 468, 469, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 502, 503, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 564, 565, 566, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 589, 594, 595, 597, 598, 600, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 779, 780, 781, 782, 783, 785, 788, 790, 792, 793, 797, 799, 802, 805, 810, 812, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 827, 829, 831, 832, 834, 837, 838, 839, 848, 849], "set_backend": [3, 4, 5, 7, 9, 17, 18, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 39, 41, 42, 43, 51, 53, 67, 74, 76, 162, 171, 189, 190, 204, 206, 211, 219, 526, 550, 617, 618, 621, 627, 703, 704, 788, 799, 808, 810, 814, 815, 822, 823, 824, 834, 836, 839, 848, 849, 850], "ivy_model": [3, 4, 5, 7, 43], "ivy_alexnet": 3, "order": [3, 20, 30, 32, 40, 43, 45, 48, 52, 53, 56, 57, 59, 63, 64, 69, 75, 79, 80, 82, 86, 87, 92, 97, 98, 122, 123, 134, 142, 223, 242, 285, 322, 342, 362, 365, 368, 369, 371, 374, 378, 413, 418, 421, 422, 423, 424, 425, 429, 433, 435, 438, 441, 463, 464, 465, 470, 471, 483, 489, 490, 491, 494, 503, 616, 619, 623, 624, 626, 627, 631, 632, 633, 637, 638, 639, 640, 641, 642, 645, 658, 659, 665, 674, 675, 679, 681, 690, 693, 702, 703, 734, 736, 737, 738, 739, 740, 742, 743, 760, 782, 784, 793, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 826, 827, 828, 829, 830, 831, 832, 837, 839, 840, 844, 851, 854, 855, 856, 858, 861], "quick": [3, 15, 27, 806, 807, 827, 838], "call": [3, 6, 11, 13, 17, 19, 20, 21, 22, 23, 26, 27, 29, 30, 31, 32, 33, 40, 44, 52, 67, 72, 75, 90, 92, 98, 117, 167, 168, 208, 369, 380, 433, 517, 568, 574, 588, 604, 605, 607, 615, 618, 621, 622, 624, 628, 672, 705, 711, 715, 716, 760, 771, 779, 780, 781, 783, 788, 793, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 840, 845, 848, 849, 850, 855, 856, 859], "trace_graph": [3, 4, 5, 7, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 34, 43, 781, 799, 834, 839, 847], "take": [3, 7, 17, 24, 26, 27, 32, 38, 40, 43, 52, 57, 59, 65, 75, 82, 92, 117, 118, 120, 136, 275, 282, 296, 360, 368, 369, 371, 387, 395, 400, 405, 415, 424, 436, 456, 463, 482, 511, 512, 615, 616, 619, 623, 624, 626, 627, 649, 664, 668, 693, 704, 744, 763, 771, 778, 779, 792, 799, 800, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 822, 825, 826, 827, 829, 832, 834, 836, 838, 839, 840, 841, 846, 848, 849, 852, 853, 861], "moment": [3, 52, 54, 75, 77, 369, 425, 602, 603, 608, 622, 783, 804, 810, 840, 848, 849], "one": [3, 6, 8, 11, 13, 15, 16, 19, 20, 23, 24, 26, 27, 29, 30, 42, 43, 44, 48, 52, 53, 56, 57, 59, 62, 63, 65, 69, 71, 74, 75, 76, 77, 79, 80, 82, 83, 85, 86, 87, 88, 92, 121, 124, 134, 136, 137, 138, 148, 150, 208, 229, 235, 242, 243, 260, 266, 267, 268, 287, 296, 306, 309, 310, 328, 334, 337, 340, 341, 344, 345, 346, 348, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 389, 391, 395, 396, 399, 400, 403, 411, 416, 418, 427, 434, 447, 451, 452, 453, 457, 463, 464, 465, 470, 472, 477, 480, 489, 490, 491, 496, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 560, 564, 565, 567, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 629, 631, 632, 634, 637, 638, 639, 640, 641, 642, 645, 661, 664, 665, 669, 671, 680, 681, 689, 690, 691, 694, 696, 700, 724, 731, 734, 736, 737, 738, 739, 744, 746, 763, 765, 782, 785, 788, 793, 796, 799, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 831, 832, 833, 836, 837, 839, 840, 841, 842, 845, 846, 849, 855, 856, 858, 861], "cost": [3, 54, 77, 602, 603, 606, 608, 609, 610, 622, 627, 702, 703, 704, 793, 814, 832, 853], "arg": [3, 5, 6, 7, 11, 13, 21, 22, 24, 26, 27, 31, 32, 33, 44, 47, 69, 91, 101, 117, 198, 208, 588, 615, 616, 618, 621, 758, 760, 775, 776, 779, 780, 781, 785, 788, 792, 797, 799, 809, 814, 815, 818, 824, 825, 826, 832, 834, 838, 848, 849, 850], "asarrai": [3, 4, 5, 6, 7, 41, 48, 52, 53, 64, 71, 75, 76, 87, 122, 378, 502, 503, 533, 544, 548, 549, 579, 580, 616, 621, 623, 632, 633, 637, 737, 741, 818, 823, 826, 827], "cuda": [3, 4, 5, 6, 7, 8, 9, 17, 26, 41, 42, 45, 48, 52, 61, 71, 75, 84, 132, 133, 136, 188, 189, 190, 204, 206, 375, 496, 497, 499, 500, 616, 618, 624, 630, 675, 725, 726, 727, 728, 778, 779, 780, 781, 782, 783, 784, 799, 834, 840, 842, 860], "7": [3, 5, 6, 7, 8, 9, 11, 13, 18, 19, 21, 22, 23, 24, 38, 40, 41, 42, 44, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 107, 108, 109, 110, 121, 122, 123, 132, 135, 136, 154, 160, 163, 193, 215, 218, 221, 225, 226, 228, 229, 230, 231, 233, 235, 236, 237, 238, 239, 241, 242, 245, 246, 247, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 265, 266, 267, 268, 270, 271, 272, 274, 275, 278, 279, 280, 282, 285, 286, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 312, 313, 324, 328, 332, 334, 335, 342, 343, 344, 346, 348, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 376, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 409, 410, 411, 412, 414, 417, 420, 431, 442, 443, 444, 445, 447, 448, 451, 452, 453, 457, 459, 463, 468, 469, 472, 473, 478, 479, 481, 482, 484, 487, 488, 498, 500, 501, 508, 511, 512, 514, 515, 520, 526, 528, 529, 533, 534, 537, 548, 549, 550, 557, 564, 565, 579, 582, 602, 603, 605, 606, 607, 608, 609, 610, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 640, 642, 644, 645, 646, 647, 652, 654, 655, 656, 657, 659, 660, 661, 664, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 683, 684, 685, 686, 689, 690, 695, 697, 698, 700, 705, 706, 713, 717, 724, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 744, 745, 746, 748, 750, 752, 753, 763, 805, 806, 810, 812, 813, 816, 822, 825, 829], "output": [3, 4, 5, 7, 17, 23, 24, 26, 27, 39, 40, 41, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 174, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 365, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 424, 427, 428, 431, 432, 433, 434, 436, 437, 440, 442, 443, 444, 445, 446, 447, 448, 449, 456, 457, 458, 461, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 486, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 527, 528, 529, 533, 534, 535, 537, 541, 550, 557, 564, 565, 566, 589, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 763, 778, 779, 792, 793, 799, 801, 805, 806, 807, 808, 809, 811, 812, 814, 815, 816, 817, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 834, 836, 838, 839, 840, 842, 848, 849, 856], "softmax": [3, 7, 11, 24, 26, 27, 42, 46, 56, 67, 68, 79, 370, 443, 613, 623, 649, 652, 775, 799], "pass": [3, 5, 6, 7, 8, 9, 11, 13, 17, 24, 26, 27, 33, 39, 40, 42, 44, 45, 51, 52, 67, 69, 74, 75, 90, 98, 117, 118, 120, 152, 174, 189, 208, 223, 269, 368, 370, 371, 374, 375, 380, 413, 443, 463, 489, 491, 496, 516, 517, 550, 615, 617, 618, 619, 621, 627, 702, 703, 758, 760, 764, 771, 776, 780, 781, 783, 784, 788, 792, 797, 799, 802, 804, 806, 808, 809, 810, 812, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 832, 840, 848, 849, 850, 853], "argsort": [3, 7, 64, 87, 633, 742, 826], "descend": [3, 7, 64, 87, 624, 633, 674, 675, 740, 743], "top": [3, 7, 10, 15, 24, 26, 27, 40, 41, 52, 59, 75, 313, 362, 371, 483, 533, 621, 687, 799, 805, 806, 814, 819, 826, 828, 829, 832, 837, 838, 855, 859], "logit": [3, 4, 5, 7, 40, 41, 42, 43, 52, 58, 75, 81, 360, 375, 496, 499, 625, 683, 685, 775, 799, 848], "gather": [3, 7, 40, 52, 53, 75, 76, 324, 325, 326, 362, 541, 543, 621, 862], "print": [3, 4, 6, 7, 9, 11, 13, 17, 18, 20, 24, 26, 27, 28, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 152, 158, 159, 160, 161, 162, 165, 167, 168, 170, 175, 187, 188, 192, 194, 195, 196, 197, 199, 200, 201, 202, 203, 206, 207, 209, 210, 211, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 297, 299, 300, 301, 303, 304, 305, 307, 314, 315, 322, 324, 328, 329, 330, 332, 346, 347, 352, 356, 360, 362, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 389, 391, 392, 394, 396, 399, 401, 404, 405, 406, 409, 411, 412, 417, 420, 422, 424, 425, 433, 440, 442, 443, 444, 445, 446, 447, 448, 454, 456, 458, 469, 473, 478, 479, 481, 482, 483, 488, 492, 493, 495, 510, 511, 512, 513, 520, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 560, 561, 563, 564, 565, 569, 570, 571, 574, 577, 578, 579, 580, 582, 584, 586, 587, 588, 592, 593, 596, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 788, 792, 793, 797, 799, 805, 806, 812, 814, 816, 827, 829, 831, 834, 836, 837, 838, 848, 850], "indic": [3, 7, 48, 52, 53, 56, 57, 59, 60, 62, 63, 64, 69, 71, 72, 75, 76, 79, 80, 82, 83, 85, 86, 87, 92, 95, 122, 123, 136, 140, 142, 163, 167, 168, 279, 322, 323, 324, 342, 362, 365, 368, 369, 370, 371, 376, 378, 386, 387, 388, 390, 394, 395, 396, 400, 401, 404, 405, 406, 407, 411, 412, 422, 441, 443, 451, 452, 453, 456, 459, 461, 463, 464, 465, 468, 472, 478, 479, 481, 482, 483, 486, 487, 501, 502, 503, 525, 540, 541, 543, 564, 565, 569, 601, 604, 605, 616, 619, 621, 622, 623, 624, 626, 628, 629, 630, 631, 632, 633, 637, 639, 640, 641, 642, 645, 649, 667, 681, 689, 690, 691, 693, 694, 695, 696, 698, 700, 705, 708, 710, 712, 713, 714, 716, 720, 721, 722, 723, 724, 725, 731, 732, 733, 734, 736, 738, 740, 742, 743, 760, 761, 763, 765, 779, 785, 792, 793, 795, 805, 813, 821, 824, 826, 839, 848], "to_list": [3, 7, 53, 76, 621], "arrai": [3, 4, 7, 8, 9, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 39, 40, 41, 42, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 164, 166, 167, 168, 170, 172, 173, 174, 175, 181, 191, 192, 196, 201, 203, 205, 208, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 547, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 560, 562, 563, 564, 565, 566, 568, 569, 575, 576, 578, 579, 580, 581, 582, 584, 585, 586, 587, 588, 589, 597, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 711, 712, 713, 714, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 765, 771, 778, 779, 780, 781, 784, 788, 792, 793, 795, 799, 802, 804, 805, 806, 807, 810, 811, 812, 814, 815, 816, 817, 818, 819, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 842, 849, 850, 853, 854, 855, 857, 861, 862], "282": [3, 7], "281": [3, 7, 40, 42], "285": [3, 7, 75], "dev": [3, 6, 7, 8, 9, 19, 40, 42, 45, 50, 69, 73, 196, 203, 618, 805, 815, 819, 822, 836, 838], "64773697": 3, "29496649": 3, "04526037": 3, "39": [3, 4, 6, 7, 8, 9, 11, 13, 17, 21, 22, 23, 24, 38, 40, 41, 42, 43, 45, 46, 51, 52, 57, 61, 68, 74, 75, 77, 80, 84, 107, 221, 256, 258, 260, 290, 291, 293, 360, 368, 380, 387, 389, 406, 409, 511, 602, 613, 619, 622, 624, 634, 661, 669, 727, 746], "tiger": [3, 7], "tabbi": [3, 7], "egyptian": [3, 7], "check": [3, 4, 6, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 43, 45, 47, 49, 53, 57, 69, 72, 76, 80, 113, 151, 152, 161, 162, 165, 167, 168, 169, 172, 187, 194, 195, 202, 214, 526, 536, 538, 539, 546, 552, 553, 554, 555, 556, 572, 582, 594, 600, 613, 617, 618, 621, 624, 628, 659, 660, 667, 705, 715, 716, 717, 758, 765, 792, 793, 799, 801, 803, 804, 805, 806, 808, 812, 813, 815, 816, 818, 823, 825, 826, 827, 828, 829, 830, 831, 833, 834, 836, 837, 838, 841, 848], "confirm": [3, 41, 804], "same": [3, 4, 5, 6, 7, 8, 13, 19, 21, 22, 23, 24, 26, 29, 31, 33, 38, 39, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 63, 64, 65, 69, 71, 72, 74, 75, 76, 77, 79, 80, 82, 84, 86, 88, 92, 93, 94, 95, 96, 97, 111, 121, 126, 131, 133, 134, 136, 138, 140, 141, 142, 144, 147, 148, 149, 160, 163, 208, 215, 216, 217, 218, 220, 222, 226, 228, 231, 235, 241, 242, 248, 268, 270, 272, 275, 277, 278, 279, 288, 295, 307, 321, 322, 323, 324, 325, 326, 329, 330, 332, 339, 355, 360, 362, 365, 368, 369, 370, 371, 374, 376, 378, 380, 386, 387, 388, 404, 405, 406, 407, 409, 410, 411, 412, 414, 421, 426, 427, 435, 436, 437, 438, 439, 441, 443, 446, 456, 458, 473, 481, 482, 489, 491, 501, 503, 508, 509, 510, 511, 512, 513, 514, 520, 557, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 652, 653, 654, 655, 657, 658, 659, 660, 662, 664, 666, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 687, 690, 691, 693, 694, 696, 697, 702, 703, 718, 728, 736, 737, 738, 739, 740, 741, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 758, 763, 764, 765, 771, 779, 792, 799, 805, 806, 809, 810, 812, 813, 814, 815, 816, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 844, 846, 848, 850, 852, 854, 861, 862], "8": [3, 6, 7, 8, 9, 18, 19, 21, 22, 23, 24, 38, 40, 42, 45, 49, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 72, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 97, 98, 105, 120, 130, 131, 135, 138, 144, 153, 155, 156, 157, 160, 168, 193, 210, 218, 220, 221, 225, 226, 229, 230, 231, 233, 239, 242, 246, 247, 253, 254, 255, 259, 260, 263, 264, 266, 267, 268, 273, 274, 277, 278, 279, 282, 283, 286, 287, 288, 292, 297, 299, 300, 301, 303, 304, 306, 307, 324, 328, 339, 342, 344, 345, 346, 349, 356, 360, 362, 365, 368, 369, 370, 371, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 405, 409, 410, 414, 417, 420, 428, 442, 443, 444, 446, 447, 448, 449, 451, 452, 453, 457, 459, 463, 468, 469, 478, 479, 482, 483, 484, 487, 488, 498, 500, 512, 515, 516, 520, 526, 527, 529, 533, 534, 537, 540, 544, 548, 549, 550, 552, 553, 556, 559, 564, 565, 569, 579, 580, 581, 582, 602, 605, 607, 609, 610, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 637, 641, 642, 644, 645, 646, 647, 649, 655, 656, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 690, 697, 698, 700, 706, 713, 717, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 745, 746, 748, 750, 752, 753, 763, 766, 779, 805, 812, 813, 816, 829, 833, 837], "torch_alexnet": 3, "alexnet_weight": 3, "weight": [3, 9, 11, 13, 26, 27, 40, 41, 52, 54, 56, 58, 75, 77, 79, 81, 92, 93, 309, 313, 346, 362, 365, 368, 369, 380, 394, 427, 508, 510, 513, 602, 603, 606, 608, 609, 610, 622, 623, 625, 627, 647, 648, 649, 652, 683, 704, 765, 778, 779, 781, 783, 799, 812, 822, 829, 834, 838, 839, 854], "imagenet1k_v1": [3, 7], "dropout": [3, 56, 79, 368, 391, 392, 393, 623, 649, 652, 779, 837], "9": [3, 4, 5, 6, 7, 8, 9, 18, 19, 21, 22, 23, 24, 38, 40, 42, 45, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 63, 64, 65, 68, 72, 74, 75, 76, 77, 79, 80, 82, 84, 86, 87, 88, 97, 98, 105, 121, 122, 123, 135, 153, 154, 155, 156, 157, 160, 163, 216, 218, 220, 221, 224, 225, 226, 229, 230, 235, 236, 237, 242, 249, 255, 256, 257, 259, 263, 264, 266, 267, 268, 271, 273, 274, 278, 279, 282, 283, 284, 289, 294, 297, 298, 299, 336, 338, 342, 348, 349, 356, 360, 365, 366, 368, 370, 371, 378, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 405, 409, 410, 414, 428, 442, 444, 446, 447, 451, 452, 453, 459, 463, 468, 478, 479, 480, 481, 483, 487, 498, 500, 503, 512, 529, 533, 534, 535, 537, 540, 548, 549, 552, 553, 556, 564, 565, 579, 581, 602, 603, 604, 608, 609, 613, 616, 617, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 633, 634, 637, 638, 639, 645, 646, 647, 654, 655, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 686, 690, 694, 695, 697, 698, 700, 705, 706, 711, 713, 716, 717, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 745, 746, 748, 750, 752, 753, 763, 783, 812, 814, 816, 824, 829, 837, 838, 851], "torch_output": [3, 5, 7], "dim": [3, 7, 42, 52, 69, 71, 75, 136, 307, 362, 368, 371, 385, 395, 396, 397, 400, 408, 463, 616, 623, 636, 643, 644, 648, 765, 779, 799, 814, 826, 827, 832], "torch_class": [3, 7], "torch_logit": [3, 7], "tensor": [3, 4, 6, 7, 8, 11, 13, 17, 18, 21, 22, 24, 26, 27, 28, 32, 38, 40, 48, 51, 52, 53, 56, 58, 59, 61, 69, 71, 74, 75, 76, 79, 80, 81, 82, 84, 91, 124, 132, 133, 136, 142, 158, 174, 266, 267, 296, 313, 317, 318, 319, 320, 321, 322, 331, 353, 360, 362, 365, 368, 369, 370, 371, 380, 381, 386, 387, 390, 394, 403, 404, 405, 406, 413, 415, 417, 424, 425, 426, 427, 430, 432, 434, 435, 438, 440, 441, 443, 446, 447, 463, 466, 471, 474, 475, 476, 477, 480, 485, 516, 521, 564, 565, 616, 617, 619, 621, 623, 624, 625, 626, 630, 646, 648, 649, 663, 676, 683, 693, 695, 725, 779, 788, 793, 799, 809, 810, 814, 815, 819, 821, 822, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 840, 842, 844, 848, 849, 850, 852, 853, 856, 858, 859, 862], "devic": [3, 5, 6, 7, 41, 42, 45, 48, 52, 61, 69, 71, 75, 84, 97, 100, 101, 102, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 143, 144, 188, 189, 190, 191, 192, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 212, 214, 306, 307, 322, 323, 362, 375, 461, 496, 497, 499, 500, 524, 538, 539, 616, 621, 630, 725, 726, 727, 728, 758, 760, 761, 776, 778, 779, 780, 781, 782, 783, 784, 785, 799, 806, 807, 810, 814, 818, 822, 823, 827, 829, 830, 832, 834, 839, 840, 841, 842, 845, 854, 855, 857, 858, 859, 860], "6477": 3, "2950": 3, "0453": 3, "grad_fn": [3, 7, 24, 38, 605, 612, 622, 837], "lt": [3, 7, 11, 13, 17, 21, 22, 23, 24, 38, 40, 42, 98], "takebackward0": [3, 7], "gt": [3, 7, 11, 13, 17, 21, 22, 23, 24, 38, 40, 42, 45, 98, 827, 834], "great": [3, 5, 799, 806, 829, 834, 836, 845, 846, 861], "With": [3, 19, 29, 38, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 65, 71, 72, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 143, 144, 147, 148, 149, 150, 152, 158, 159, 160, 163, 170, 175, 176, 177, 178, 179, 189, 192, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 277, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 329, 330, 332, 334, 337, 341, 344, 345, 346, 348, 349, 352, 360, 362, 365, 368, 369, 370, 371, 380, 389, 391, 392, 399, 411, 418, 419, 420, 422, 423, 424, 433, 436, 447, 463, 464, 465, 467, 470, 472, 473, 479, 481, 483, 486, 501, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 526, 527, 528, 529, 532, 533, 534, 535, 536, 540, 541, 544, 546, 548, 549, 550, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 602, 603, 604, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 652, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 671, 672, 673, 674, 675, 676, 678, 679, 680, 683, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 805, 814, 816, 826, 829, 832, 834, 845, 846, 848, 855, 858], "simpl": [3, 11, 15, 16, 18, 21, 23, 24, 25, 26, 27, 28, 29, 31, 32, 38, 40, 42, 45, 52, 75, 380, 510, 765, 779, 793, 799, 804, 805, 806, 809, 811, 812, 814, 815, 816, 817, 822, 825, 826, 829, 830, 832, 836, 838, 839, 840, 842, 844, 848, 849, 854, 855, 856, 857], "chang": [3, 4, 9, 17, 27, 40, 41, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 619, 626, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 706, 717, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 799, 804, 805, 806, 808, 810, 811, 812, 813, 814, 816, 817, 819, 820, 826, 827, 828, 829, 830, 831, 832, 834, 838, 840, 841, 846, 848, 858, 861], "backend": [3, 8, 18, 19, 20, 21, 22, 23, 24, 27, 29, 30, 32, 47, 48, 52, 53, 57, 69, 75, 76, 80, 97, 124, 161, 162, 165, 187, 194, 195, 197, 200, 211, 329, 330, 365, 369, 420, 422, 517, 526, 538, 539, 547, 550, 551, 561, 568, 582, 585, 616, 617, 618, 621, 624, 674, 758, 760, 761, 763, 764, 765, 768, 770, 771, 776, 780, 781, 783, 787, 788, 799, 802, 803, 805, 806, 807, 808, 809, 813, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 829, 831, 832, 833, 835, 836, 839, 842, 844, 848, 849, 850, 855, 858, 861, 862], "let": [3, 4, 5, 6, 8, 9, 11, 13, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 40, 41, 43, 45, 53, 65, 76, 215, 216, 217, 218, 221, 224, 233, 236, 238, 240, 249, 250, 251, 256, 258, 271, 279, 281, 282, 286, 540, 541, 619, 621, 624, 634, 678, 748, 750, 751, 752, 753, 799, 804, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 846, 848, 849, 862], "u": [3, 6, 40, 42, 44, 45, 52, 57, 71, 75, 80, 92, 93, 133, 369, 430, 437, 439, 624, 628, 653, 659, 660, 674, 713, 799, 800, 805, 806, 807, 812, 813, 820, 823, 825, 826, 827, 828, 829, 830, 832, 838, 840, 845], "differ": [3, 4, 6, 8, 9, 11, 15, 16, 20, 21, 22, 26, 27, 30, 31, 32, 33, 51, 52, 53, 57, 65, 69, 75, 76, 88, 97, 98, 107, 110, 160, 218, 235, 242, 243, 268, 284, 328, 335, 339, 340, 344, 365, 368, 369, 371, 380, 401, 412, 435, 441, 457, 464, 465, 479, 511, 512, 520, 540, 541, 613, 617, 619, 621, 623, 624, 626, 634, 646, 647, 661, 672, 687, 697, 744, 745, 750, 752, 753, 758, 763, 771, 780, 781, 799, 802, 803, 804, 805, 806, 807, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 849, 850, 852, 853, 854, 855, 858, 861, 862], "ll": [3, 5, 6, 8, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 41, 799, 800, 802, 804, 805, 806, 811, 816, 819, 820, 824, 825, 837, 841, 846, 848, 849], "try": [3, 18, 28, 38, 41, 45, 69, 588, 621, 778, 788, 799, 804, 805, 806, 808, 809, 812, 813, 814, 818, 820, 825, 827, 834, 836, 840, 843, 845, 846, 850], "10": [3, 5, 7, 8, 9, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 40, 42, 44, 45, 48, 51, 52, 53, 54, 56, 57, 61, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 121, 131, 132, 133, 217, 225, 226, 229, 230, 233, 240, 245, 247, 253, 255, 257, 268, 274, 281, 282, 287, 295, 328, 329, 330, 333, 337, 339, 341, 342, 344, 345, 346, 348, 349, 353, 356, 365, 368, 371, 380, 386, 387, 388, 389, 399, 404, 405, 409, 410, 411, 412, 414, 453, 456, 459, 463, 468, 478, 479, 487, 508, 511, 512, 515, 517, 520, 533, 534, 535, 537, 540, 541, 543, 548, 549, 557, 565, 569, 574, 579, 581, 593, 596, 608, 616, 619, 621, 622, 623, 624, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 640, 646, 655, 657, 661, 662, 664, 665, 666, 669, 674, 675, 676, 678, 680, 690, 695, 696, 697, 698, 700, 711, 713, 716, 717, 724, 725, 726, 727, 728, 734, 736, 742, 744, 745, 746, 747, 749, 750, 752, 753, 763, 765, 783, 799, 802, 805, 808, 812, 813, 814, 816, 819, 824, 827, 829, 834, 836, 837, 845, 850, 860], "tf": [3, 5, 8, 11, 13, 18, 21, 22, 24, 26, 27, 28, 29, 31, 33, 38, 43, 44, 776, 799, 809, 814, 815, 821, 825, 826, 829, 830, 832, 834, 839, 840, 842, 848, 849, 850, 855], "onc": [3, 5, 26, 27, 38, 40, 57, 61, 80, 84, 208, 369, 421, 618, 624, 630, 658, 659, 660, 674, 725, 799, 804, 805, 806, 812, 813, 814, 815, 816, 819, 820, 825, 826, 829, 832, 834, 837, 840, 841, 846, 848], "set": [3, 11, 13, 19, 26, 27, 29, 32, 40, 41, 42, 43, 44, 47, 52, 53, 56, 57, 62, 64, 65, 69, 75, 76, 79, 80, 85, 87, 88, 110, 113, 120, 140, 142, 176, 177, 178, 179, 180, 191, 204, 205, 206, 207, 208, 223, 322, 334, 349, 351, 356, 362, 365, 366, 368, 369, 370, 371, 380, 390, 411, 415, 419, 423, 426, 446, 447, 463, 473, 476, 483, 510, 515, 516, 517, 518, 519, 520, 522, 526, 533, 545, 550, 566, 567, 568, 570, 571, 572, 573, 574, 575, 576, 577, 582, 590, 613, 615, 616, 617, 618, 619, 621, 623, 624, 628, 630, 631, 633, 634, 646, 652, 654, 665, 667, 670, 673, 674, 705, 712, 715, 716, 717, 722, 723, 729, 731, 732, 736, 738, 739, 740, 743, 751, 753, 760, 763, 764, 765, 766, 771, 778, 779, 781, 783, 788, 793, 796, 799, 800, 806, 807, 808, 809, 811, 812, 813, 814, 815, 816, 818, 820, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 837, 844, 847, 848, 849, 853, 854, 855, 856, 857, 859, 862], "our": [3, 6, 8, 9, 11, 13, 15, 18, 19, 21, 22, 23, 26, 27, 28, 29, 31, 32, 33, 38, 40, 41, 44, 67, 90, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 765, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 801, 803, 804, 805, 806, 807, 808, 809, 811, 812, 813, 814, 816, 818, 819, 820, 823, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 844, 845, 848, 860, 861], "post": [3, 5, 40, 60, 83, 629, 724, 805, 819, 824, 839, 841], "process": [3, 5, 21, 26, 27, 31, 40, 202, 214, 618, 800, 805, 806, 811, 812, 813, 819, 820, 822, 824, 826, 827, 828, 829, 832, 834, 839, 845, 846, 848, 853, 854, 855, 858, 859, 861, 862], "11": [3, 5, 7, 8, 17, 19, 21, 22, 23, 24, 38, 40, 41, 42, 45, 51, 52, 53, 56, 57, 61, 65, 74, 75, 76, 79, 80, 82, 84, 88, 98, 218, 222, 225, 230, 240, 277, 278, 284, 346, 365, 368, 369, 371, 386, 387, 399, 404, 405, 409, 410, 414, 423, 456, 457, 459, 463, 468, 470, 487, 511, 512, 527, 533, 534, 540, 549, 565, 619, 621, 623, 624, 625, 626, 628, 630, 631, 632, 634, 637, 638, 646, 647, 657, 660, 661, 662, 664, 665, 669, 673, 674, 675, 676, 678, 680, 683, 685, 690, 695, 696, 698, 700, 711, 713, 723, 726, 727, 728, 735, 736, 744, 745, 746, 753, 812, 813, 814, 816, 824], "st": [3, 4, 6, 763, 808, 827, 829], "perf_count": [3, 6], "raw_logit": 3, "latenc": [3, 6], "nn": [3, 5, 13, 24, 26, 27, 40, 44, 134, 616, 799, 822, 827, 832, 839, 849, 856], "axi": [3, 5, 9, 41, 42, 43, 46, 48, 51, 52, 53, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 71, 74, 75, 76, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 108, 112, 132, 133, 136, 208, 282, 287, 329, 330, 334, 335, 342, 349, 365, 368, 370, 371, 374, 378, 380, 389, 390, 396, 399, 401, 411, 412, 445, 450, 458, 459, 460, 463, 464, 465, 468, 473, 478, 479, 481, 482, 483, 486, 487, 492, 493, 495, 503, 508, 511, 512, 513, 515, 516, 517, 518, 519, 520, 533, 540, 601, 613, 616, 618, 619, 621, 623, 624, 625, 626, 627, 630, 631, 632, 633, 634, 635, 645, 654, 657, 665, 678, 680, 681, 683, 684, 685, 687, 688, 689, 690, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 730, 731, 732, 736, 738, 740, 741, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 775, 779, 780, 785, 812, 814, 816, 818, 821, 822, 825, 826, 829, 832, 834, 836, 839], "direct": [3, 52, 75, 335, 341, 345, 350, 354, 365, 368, 371, 401, 412, 464, 465, 479, 633, 743, 804, 809, 811, 826, 832, 838, 839, 851, 855, 856, 859], "tolist": 3, "652289830999962": 3, "shape": [3, 4, 5, 9, 11, 13, 19, 20, 21, 22, 26, 27, 32, 38, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 96, 97, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 203, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 310, 311, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 329, 330, 331, 332, 333, 335, 337, 339, 341, 343, 345, 346, 347, 348, 352, 353, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 412, 413, 416, 417, 418, 419, 421, 422, 423, 426, 427, 428, 429, 431, 432, 433, 434, 435, 436, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 453, 454, 456, 458, 461, 466, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 528, 529, 533, 534, 535, 537, 540, 541, 544, 550, 557, 564, 565, 575, 583, 585, 597, 601, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 740, 741, 743, 744, 745, 746, 748, 750, 751, 753, 754, 755, 760, 763, 765, 778, 779, 782, 792, 799, 806, 812, 814, 815, 816, 817, 818, 819, 821, 825, 826, 827, 829, 830, 831, 834, 836, 837, 838, 839, 848, 849], "dtype": [3, 5, 7, 9, 13, 19, 21, 22, 23, 24, 38, 41, 48, 49, 52, 53, 56, 57, 61, 62, 65, 69, 71, 72, 74, 75, 76, 79, 80, 84, 85, 88, 97, 100, 101, 102, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 143, 144, 145, 146, 147, 148, 150, 152, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 203, 230, 269, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 327, 332, 334, 349, 362, 365, 368, 369, 370, 371, 375, 380, 389, 399, 411, 412, 415, 436, 446, 457, 481, 496, 497, 498, 499, 500, 510, 511, 512, 513, 516, 519, 520, 537, 538, 539, 541, 550, 559, 586, 616, 617, 618, 619, 621, 623, 624, 627, 630, 631, 633, 634, 635, 639, 646, 665, 681, 703, 704, 726, 727, 728, 731, 732, 733, 742, 743, 744, 745, 750, 752, 754, 755, 758, 760, 763, 765, 766, 778, 779, 780, 781, 782, 784, 799, 802, 808, 810, 814, 815, 816, 818, 819, 822, 823, 825, 826, 827, 829, 830, 834, 836, 849], "int32": [3, 38, 40, 49, 52, 53, 61, 62, 65, 72, 75, 76, 84, 85, 127, 132, 138, 144, 147, 150, 152, 154, 156, 158, 161, 163, 164, 168, 171, 175, 179, 183, 185, 203, 230, 376, 380, 501, 511, 512, 513, 541, 550, 586, 616, 617, 618, 619, 621, 630, 631, 634, 726, 727, 728, 732, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "6477362": 3, "29496726": 3, "04526032": 3, "float32": [3, 5, 7, 9, 11, 13, 18, 19, 38, 40, 41, 42, 48, 49, 53, 56, 71, 72, 75, 76, 79, 88, 133, 136, 138, 144, 145, 146, 150, 154, 155, 158, 159, 160, 161, 164, 167, 168, 170, 175, 178, 184, 248, 275, 327, 339, 362, 365, 368, 369, 380, 389, 399, 412, 436, 446, 513, 550, 586, 616, 617, 619, 621, 623, 624, 627, 639, 641, 642, 645, 672, 674, 675, 681, 703, 704, 760, 763, 764, 799, 814, 816, 827, 829, 830, 849, 850], "As": [3, 5, 6, 8, 9, 11, 13, 19, 23, 24, 26, 27, 29, 32, 38, 39, 63, 67, 90, 632, 736, 737, 738, 739, 799, 802, 804, 805, 806, 809, 811, 812, 813, 814, 815, 818, 819, 820, 821, 822, 825, 826, 827, 828, 829, 832, 836, 837, 838, 840, 844, 848, 849, 850, 855, 860], "expect": [3, 5, 6, 8, 19, 23, 26, 27, 29, 42, 43, 45, 52, 57, 58, 75, 81, 174, 242, 286, 368, 370, 390, 412, 446, 524, 617, 619, 621, 625, 669, 683, 778, 779, 799, 805, 806, 808, 814, 815, 818, 820, 823, 825, 827, 829, 832, 840, 841, 846, 848, 849, 850], "ident": [3, 9, 24, 41, 43, 57, 69, 127, 196, 543, 569, 616, 618, 621, 624, 628, 661, 666, 718, 779, 812, 822, 823, 826, 827, 830, 832, 836, 837, 840, 842, 844, 846], "had": [3, 812, 813, 825, 830, 834, 855, 856], "anoth": [3, 17, 19, 20, 23, 24, 26, 27, 29, 30, 42, 43, 128, 148, 150, 616, 617, 799, 804, 805, 806, 810, 812, 814, 815, 818, 820, 822, 825, 826, 829, 834, 836, 839, 842, 845, 847, 848, 849, 855, 861], "postprocess": 3, "routin": [3, 813, 825, 826, 832, 840, 855], "feed": [3, 208, 618, 848, 855, 856], "other": [3, 6, 8, 11, 13, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 49, 51, 52, 53, 59, 65, 69, 72, 74, 75, 76, 82, 88, 92, 97, 98, 121, 136, 148, 174, 235, 240, 242, 258, 267, 268, 331, 335, 365, 371, 457, 458, 466, 522, 523, 616, 617, 619, 621, 630, 634, 687, 697, 728, 751, 753, 765, 799, 802, 804, 805, 806, 808, 809, 812, 813, 816, 817, 818, 819, 820, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 841, 842, 845, 848, 849, 851, 853, 854, 855, 861, 862], "carefulli": [3, 273, 619, 778, 826, 853, 858], "rewrit": 3, "easili": [3, 23, 26, 27, 38, 799, 805, 809, 813, 819, 826, 832, 837, 838, 839, 840, 845, 855, 861, 862], "out": [3, 5, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 41, 44, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 149, 158, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 415, 416, 417, 418, 419, 420, 421, 424, 425, 427, 428, 429, 431, 432, 433, 434, 436, 440, 442, 443, 444, 445, 447, 448, 454, 456, 457, 458, 460, 461, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 524, 528, 529, 533, 534, 535, 537, 540, 541, 550, 560, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 771, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 802, 803, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 822, 824, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846, 848, 849, 855, 862], "quickest": 3, "particular": [3, 26, 27, 263, 619, 764, 805, 806, 808, 810, 813, 814, 816, 823, 825, 826, 829, 830, 851, 855, 861], "hardwar": [3, 40, 97, 101, 799, 805, 832, 845, 851, 853, 854, 855, 856, 857, 858, 859, 860, 861], "again": [3, 5, 20, 21, 29, 30, 31, 32, 624, 672, 806, 809, 810, 811, 812, 816, 818, 820, 825, 826, 829, 830, 832, 837, 839, 840, 845, 846, 860, 861], "speed": [3, 6, 8, 9, 26, 27, 40, 45, 53, 76, 557, 621, 829, 844, 858], "up": [3, 5, 6, 8, 9, 26, 52, 53, 75, 76, 368, 371, 390, 403, 457, 465, 545, 557, 621, 623, 646, 799, 800, 802, 804, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 844, 845, 846, 848, 856, 861, 862], "12": [3, 5, 6, 7, 9, 17, 19, 21, 22, 23, 24, 38, 40, 41, 42, 49, 51, 52, 53, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 83, 84, 88, 97, 98, 163, 218, 220, 225, 229, 230, 233, 235, 236, 237, 255, 268, 271, 278, 281, 288, 289, 311, 312, 342, 345, 346, 362, 365, 368, 371, 380, 386, 387, 388, 389, 391, 395, 396, 404, 405, 409, 410, 411, 412, 414, 456, 457, 459, 463, 468, 487, 500, 511, 517, 518, 519, 529, 533, 534, 565, 571, 579, 593, 619, 621, 623, 624, 626, 628, 629, 630, 631, 632, 634, 637, 641, 646, 647, 657, 659, 661, 665, 669, 673, 675, 676, 678, 680, 690, 694, 696, 698, 700, 717, 724, 726, 727, 728, 735, 736, 744, 745, 746, 750, 752, 763, 805, 810, 812, 814, 816, 824], "repeat": [3, 4, 20, 30, 52, 53, 59, 75, 76, 82, 368, 371, 380, 396, 401, 462, 510, 535, 621, 626, 627, 699, 703, 704, 792, 806, 809, 810, 816, 817, 825, 829], "previou": [3, 9, 19, 20, 21, 23, 29, 30, 31, 33, 54, 75, 77, 182, 183, 184, 185, 186, 357, 367, 368, 413, 589, 591, 592, 593, 594, 596, 597, 599, 603, 608, 617, 621, 622, 778, 796, 805, 806, 808, 810, 813, 815, 821, 826, 829, 832, 839, 840, 858], "trace": [3, 4, 5, 6, 7, 8, 15, 16, 20, 23, 26, 29, 31, 32, 44, 53, 57, 69, 76, 80, 552, 553, 556, 567, 576, 590, 598, 621, 624, 760, 771, 781, 783, 799, 808, 812, 814, 826, 831, 832, 834, 839, 840, 847, 848, 849, 856, 861], "befor": [3, 4, 5, 18, 19, 20, 21, 22, 28, 29, 30, 31, 32, 33, 40, 52, 56, 57, 59, 63, 65, 69, 75, 79, 80, 205, 208, 213, 368, 371, 380, 395, 400, 410, 414, 457, 464, 465, 466, 473, 511, 512, 618, 623, 624, 626, 627, 628, 632, 634, 636, 637, 638, 639, 641, 643, 645, 648, 649, 652, 664, 681, 687, 702, 703, 717, 736, 737, 738, 739, 744, 745, 750, 752, 779, 788, 792, 804, 805, 806, 808, 809, 811, 814, 815, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 834, 837, 840, 848, 849, 855], "13": [3, 5, 6, 7, 17, 21, 22, 23, 24, 38, 40, 42, 46, 51, 52, 56, 57, 61, 65, 74, 75, 76, 77, 79, 82, 84, 88, 97, 113, 163, 193, 218, 233, 242, 253, 273, 282, 342, 349, 356, 365, 368, 371, 388, 389, 399, 404, 410, 414, 456, 457, 459, 463, 468, 487, 500, 511, 512, 528, 529, 533, 534, 549, 571, 579, 602, 613, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 631, 632, 634, 637, 638, 646, 647, 657, 661, 669, 673, 675, 678, 700, 704, 717, 726, 727, 728, 735, 736, 744, 745, 746, 812, 814, 816, 826], "026875037000081647": 3, "14": [3, 5, 6, 7, 22, 38, 40, 41, 42, 49, 51, 52, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 84, 147, 160, 163, 216, 221, 223, 230, 234, 260, 264, 268, 274, 281, 289, 338, 368, 369, 371, 380, 386, 387, 388, 389, 399, 406, 409, 410, 411, 414, 418, 424, 425, 457, 459, 463, 468, 487, 511, 579, 602, 617, 619, 621, 622, 623, 624, 626, 628, 632, 634, 637, 638, 640, 642, 644, 646, 657, 659, 661, 669, 676, 678, 680, 700, 717, 726, 727, 728, 736, 745, 746, 812, 816, 829], "overrid": [3, 5, 32, 41, 48, 52, 71, 75, 136, 380, 510, 616, 809, 811], "behavior": [3, 5, 52, 63, 235, 242, 268, 277, 381, 521, 568, 591, 619, 621, 632, 736, 737, 738, 739, 804, 811, 812, 813, 814, 825, 826, 827, 829, 832, 834, 840, 852], "prealloc": [3, 5], "75": [3, 5, 38, 51, 52, 74, 75, 76, 79, 84, 114, 132, 221, 223, 235, 237, 248, 309, 341, 342, 362, 365, 410, 520, 535, 548, 579, 613, 616, 619, 621, 624, 628, 630, 637, 662, 669, 713, 728], "memori": [3, 5, 8, 21, 22, 23, 24, 48, 52, 59, 71, 75, 82, 123, 134, 190, 202, 208, 210, 214, 371, 380, 451, 452, 459, 461, 463, 464, 465, 472, 487, 517, 563, 568, 591, 616, 618, 621, 623, 626, 648, 689, 690, 691, 693, 695, 696, 698, 700, 793, 813, 814, 815, 825, 826, 832, 834, 840, 848, 855, 857, 858, 859], "temporari": [3, 5, 577, 599, 621, 793, 814, 831], "fix": [3, 5, 42, 52, 75, 92, 93, 365, 368, 369, 413, 441, 623, 649, 799, 802, 805, 806, 808, 814, 820, 829, 830], "until": [3, 5, 793, 806, 825, 834, 840, 845, 848, 862], "handl": [3, 5, 38, 40, 46, 50, 51, 52, 68, 69, 73, 74, 75, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 188, 189, 190, 191, 192, 196, 201, 202, 210, 214, 220, 232, 257, 259, 273, 279, 280, 285, 286, 290, 294, 295, 297, 360, 371, 456, 482, 613, 618, 619, 624, 634, 678, 750, 752, 775, 783, 800, 807, 812, 813, 814, 820, 821, 822, 824, 825, 826, 827, 828, 829, 831, 832, 838, 852, 862], "o": [3, 5, 39, 40, 41, 42, 44, 560, 621, 623, 649, 799, 805, 807, 813, 834, 841], "environ": [3, 5, 8, 21, 22, 23, 24, 41, 44, 799, 800, 806, 841, 855, 857], "xla_python_client_alloc": [3, 5], "platform": [3, 5, 9, 21, 22, 24, 801, 803, 805, 811, 853, 857, 859], "jit": [3, 6, 8, 26, 29, 834, 840, 848, 855], "img_jax": [3, 5], "device_put": [3, 6], "15": [3, 5, 7, 8, 9, 22, 38, 40, 41, 42, 45, 51, 52, 53, 57, 61, 65, 71, 72, 74, 75, 76, 79, 80, 82, 84, 88, 98, 131, 160, 218, 225, 229, 235, 237, 246, 253, 254, 259, 260, 268, 277, 278, 279, 342, 356, 365, 366, 368, 369, 371, 380, 386, 387, 404, 406, 409, 410, 414, 420, 459, 463, 468, 487, 511, 529, 533, 534, 537, 548, 549, 574, 579, 596, 616, 617, 619, 621, 623, 624, 626, 628, 630, 631, 632, 634, 637, 647, 657, 660, 661, 662, 669, 675, 676, 694, 700, 705, 717, 726, 727, 734, 736, 744, 745, 746, 760, 805, 813, 816, 824, 858], "warm": 3, "_": [3, 6, 8, 9, 26, 39, 40, 51, 52, 69, 74, 75, 77, 93, 150, 238, 240, 248, 249, 264, 329, 330, 365, 368, 371, 380, 411, 438, 441, 481, 510, 533, 602, 603, 617, 619, 621, 622, 624, 626, 628, 634, 672, 673, 675, 701, 712, 751, 806, 813, 814, 817, 825, 837], "rang": [3, 9, 26, 27, 38, 39, 40, 42, 48, 52, 65, 71, 75, 121, 132, 133, 282, 293, 301, 313, 360, 362, 369, 371, 380, 422, 432, 466, 474, 476, 481, 485, 511, 512, 513, 533, 601, 616, 619, 621, 632, 634, 736, 744, 745, 750, 752, 763, 765, 766, 778, 799, 804, 814, 818, 822, 829, 834, 837, 838, 839, 855, 861], "16": [3, 5, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 53, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 84, 97, 98, 163, 229, 258, 278, 285, 339, 342, 346, 365, 368, 371, 380, 386, 387, 389, 395, 399, 400, 404, 405, 410, 414, 446, 463, 511, 517, 534, 537, 559, 579, 580, 612, 617, 619, 621, 622, 623, 624, 626, 628, 630, 631, 634, 645, 647, 653, 657, 660, 661, 669, 671, 675, 700, 713, 726, 727, 728, 735, 745, 746, 763, 766, 799, 806, 814, 816, 837], "0022192720000475674": 3, "64773613": 3, "29496723": 3, "exact": [3, 52, 68, 69, 105, 368, 370, 403, 408, 445, 446, 632, 736, 738, 765, 775, 805, 806, 808, 816, 834], "note": [3, 5, 9, 22, 26, 27, 32, 41, 42, 43, 52, 53, 57, 59, 63, 75, 80, 82, 92, 129, 142, 174, 242, 277, 278, 285, 322, 323, 342, 362, 365, 368, 369, 371, 390, 421, 426, 434, 435, 441, 463, 481, 617, 619, 623, 624, 626, 632, 634, 649, 658, 659, 671, 672, 674, 693, 697, 737, 739, 748, 779, 793, 802, 804, 805, 806, 809, 814, 816, 817, 820, 825, 826, 827, 829, 830, 832], "were": [3, 5, 43, 69, 72, 163, 167, 168, 242, 619, 623, 649, 804, 805, 806, 814, 818, 820, 824, 825, 827, 829, 830, 832, 834, 848, 855, 856, 861], "function": [3, 9, 11, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 34, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 160, 161, 162, 163, 166, 167, 168, 170, 174, 175, 192, 194, 195, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 377, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 563, 564, 565, 568, 569, 572, 574, 576, 579, 580, 581, 582, 584, 586, 587, 588, 594, 598, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 707, 709, 711, 712, 713, 715, 716, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 761, 763, 764, 765, 766, 771, 775, 778, 781, 788, 789, 795, 799, 802, 805, 806, 807, 808, 809, 810, 811, 813, 816, 817, 819, 825, 828, 833, 835, 836, 837, 838, 842, 844, 848, 850, 852, 853, 854, 855, 856, 861, 862], "calcul": [3, 9, 40, 51, 52, 53, 58, 65, 69, 74, 75, 76, 80, 81, 88, 98, 215, 216, 217, 218, 219, 220, 221, 222, 223, 232, 233, 235, 238, 239, 240, 256, 257, 258, 259, 260, 261, 266, 267, 268, 273, 280, 281, 282, 284, 285, 286, 292, 301, 329, 330, 342, 352, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 422, 446, 473, 489, 491, 517, 557, 619, 621, 624, 625, 634, 660, 669, 672, 683, 684, 685, 747, 748, 749, 750, 751, 752, 753, 763, 765, 778, 779, 782, 804, 817, 834, 845, 848], "dog": 3, "18": [3, 8, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 61, 74, 75, 79, 80, 84, 88, 108, 230, 235, 277, 281, 290, 291, 342, 360, 365, 368, 371, 389, 395, 399, 400, 404, 410, 414, 463, 613, 619, 624, 630, 634, 641, 657, 664, 669, 676, 726, 727, 728, 745, 746, 750, 812, 814, 816], "19": [3, 8, 21, 22, 23, 24, 38, 40, 41, 42, 45, 51, 52, 61, 74, 75, 79, 80, 84, 221, 230, 258, 268, 285, 368, 369, 371, 380, 388, 389, 400, 404, 410, 414, 420, 425, 463, 511, 619, 624, 628, 630, 633, 657, 665, 678, 716, 726, 727, 728, 743, 816], "006431100999861883": 3, "258": [3, 623, 638, 640], "104": [3, 65, 624, 634, 669, 746], "259": 3, "72447652": 3, "13937832": 3, "05874982": 3, "samoi": 3, "wallabi": 3, "pomeranian": 3, "incorrect": [3, 813], "predict": [3, 5, 7, 9, 40, 41, 42, 43, 52, 58, 75, 81, 370, 442, 445, 448, 625, 683, 684, 685, 799, 814], "down": [3, 19, 29, 43, 52, 75, 368, 371, 403, 465, 805, 829, 842, 855, 861], "itself": [3, 21, 31, 51, 92, 269, 523, 588, 619, 621, 628, 717, 793, 802, 805, 806, 808, 811, 812, 813, 814, 815, 818, 819, 820, 825, 826, 838, 840, 844, 848, 854, 855, 856, 861], "version": [3, 9, 23, 24, 29, 40, 41, 42, 45, 46, 52, 75, 92, 105, 286, 334, 336, 365, 380, 515, 520, 601, 619, 621, 624, 659, 660, 760, 788, 789, 799, 805, 806, 811, 813, 814, 817, 825, 827, 834, 844, 845, 846, 849, 861, 862], "return": [3, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 770, 771, 776, 778, 779, 781, 783, 788, 789, 792, 793, 794, 795, 796, 799, 805, 806, 809, 812, 814, 815, 816, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 848, 849, 850, 856], "20": [3, 9, 13, 38, 40, 41, 42, 45, 51, 52, 53, 56, 61, 65, 74, 75, 76, 79, 80, 84, 88, 230, 234, 238, 274, 278, 282, 298, 342, 344, 346, 365, 368, 371, 386, 388, 404, 410, 414, 456, 478, 533, 540, 541, 543, 565, 569, 579, 619, 621, 624, 630, 631, 634, 637, 638, 648, 657, 662, 665, 669, 676, 726, 734, 735, 744, 745, 746, 750, 752, 799, 813, 832, 836], "004749261999904775": 3, "7245": 3, "1394": 3, "0587": 3, "promis": [3, 845], "sourc": [3, 7, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 33, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 763, 764, 765, 767, 768, 769, 770, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 804, 805, 806, 808, 809, 811, 812, 813, 826, 828, 844, 845, 846, 847, 849, 850, 854, 855, 856, 857, 858], "21": [3, 9, 38, 40, 42, 45, 51, 52, 53, 61, 71, 74, 75, 79, 80, 84, 88, 97, 133, 163, 218, 221, 223, 229, 253, 268, 298, 349, 368, 369, 371, 380, 386, 389, 399, 404, 410, 412, 414, 418, 456, 511, 565, 616, 617, 619, 621, 624, 625, 628, 634, 657, 669, 673, 685, 711, 726, 727, 744, 745, 746, 818, 824], "modul": [3, 5, 6, 8, 11, 13, 15, 16, 17, 21, 22, 23, 24, 26, 27, 28, 32, 38, 39, 40, 42, 43, 44, 67, 69, 90, 98, 361, 363, 364, 372, 373, 377, 561, 621, 635, 756, 760, 775, 776, 777, 779, 780, 782, 784, 787, 788, 799, 801, 805, 809, 810, 811, 818, 822, 825, 826, 828, 829, 834, 835, 837, 839, 840, 846, 848, 850, 855, 856, 858], "def": [3, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 44, 51, 74, 117, 219, 527, 545, 615, 621, 627, 628, 703, 704, 711, 792, 799, 802, 804, 805, 808, 809, 812, 814, 815, 816, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 848, 849, 850], "__init__": [3, 5, 11, 13, 26, 27, 38, 39, 40, 42, 69, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 761, 768, 769, 770, 775, 778, 779, 780, 781, 782, 783, 784, 787, 788, 792, 794, 797, 799, 804, 809, 810, 814, 818, 826, 830, 834, 836, 837, 838, 839, 849], "self": [3, 5, 11, 13, 26, 27, 38, 39, 40, 42, 44, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 623, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 783, 792, 799, 806, 809, 812, 818, 826, 827, 834, 836, 837, 838, 839, 849], "num_class": [3, 11, 13, 26, 27, 40, 42, 44, 799, 839, 849], "1000": [3, 6, 7, 11, 26, 27, 40, 41, 42, 43, 45, 48, 71, 133, 616, 799, 837, 849], "v": [3, 4, 5, 15, 16, 19, 26, 27, 29, 32, 33, 38, 41, 42, 52, 56, 64, 71, 75, 79, 87, 133, 233, 238, 240, 281, 369, 371, 422, 430, 437, 438, 462, 619, 623, 627, 633, 649, 652, 703, 704, 742, 760, 779, 780, 781, 782, 783, 784, 799, 801, 805, 806, 807, 811, 819, 834, 837, 838, 839], "none": [3, 5, 6, 8, 9, 26, 38, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 96, 97, 98, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 165, 166, 167, 168, 170, 172, 175, 187, 190, 191, 203, 204, 205, 206, 207, 208, 209, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 506, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 566, 567, 568, 570, 571, 572, 573, 575, 576, 577, 579, 580, 582, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 709, 710, 711, 712, 716, 717, 718, 720, 721, 722, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 784, 787, 788, 791, 793, 799, 802, 805, 808, 809, 810, 812, 813, 814, 815, 816, 818, 819, 821, 822, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 848, 849, 850], "_build": [3, 5, 780, 781, 799], "kwarg": [3, 4, 5, 8, 9, 26, 40, 44, 47, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 98, 101, 198, 371, 473, 560, 588, 616, 618, 621, 758, 760, 775, 776, 779, 780, 781, 788, 797, 799, 809, 814, 815, 818, 822, 825, 826, 832, 834, 838, 848, 849, 850], "featur": [3, 8, 9, 11, 13, 15, 17, 26, 27, 40, 44, 52, 75, 368, 382, 384, 391, 392, 393, 778, 779, 799, 804, 805, 806, 809, 810, 813, 814, 821, 830, 832, 837, 840, 849, 855, 856, 857, 861], "sequenti": [3, 5, 7, 24, 26, 27, 42, 799, 811, 812, 838, 849], "conv2d": [3, 5, 7, 24, 26, 27, 42, 45, 56, 79, 623, 640, 779, 799], "64": [3, 5, 7, 38, 40, 41, 42, 45, 51, 52, 56, 74, 75, 76, 79, 80, 84, 88, 98, 159, 229, 239, 273, 282, 283, 339, 365, 368, 389, 399, 533, 534, 580, 608, 617, 619, 621, 622, 623, 624, 628, 634, 638, 640, 642, 644, 645, 666, 669, 679, 713, 717, 727, 746, 750, 799, 805, 814, 837, 838, 860], "2": [3, 4, 5, 6, 7, 8, 9, 11, 17, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 144, 147, 148, 149, 150, 154, 158, 160, 168, 170, 175, 191, 192, 193, 196, 199, 201, 203, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 250, 251, 252, 253, 254, 255, 256, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 310, 313, 314, 315, 322, 324, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 384, 386, 387, 388, 389, 390, 391, 392, 394, 395, 396, 399, 400, 401, 404, 405, 406, 409, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 431, 433, 436, 440, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 486, 487, 488, 492, 493, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 562, 564, 565, 569, 578, 579, 580, 581, 582, 584, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 766, 775, 778, 779, 788, 792, 793, 799, 802, 805, 806, 808, 810, 811, 812, 813, 814, 816, 818, 819, 821, 822, 824, 825, 826, 827, 829, 833, 834, 836, 837, 838, 839, 840, 848, 849, 850, 861, 862], "data_format": [3, 42, 52, 56, 75, 79, 368, 374, 383, 386, 387, 388, 391, 392, 393, 404, 405, 406, 407, 409, 489, 490, 491, 494, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 763, 779, 782, 799], "nchw": [3, 42, 52, 56, 75, 79, 368, 374, 383, 387, 392, 405, 409, 494, 623, 636, 639, 640, 643, 644, 645, 779, 799], "relu": [3, 5, 7, 24, 26, 27, 38, 45, 46, 52, 67, 68, 75, 107, 296, 297, 305, 360, 613, 775, 799, 827, 837, 838], "maxpool2d": [3, 5, 7, 40, 779, 799], "192": [3, 42, 763, 792], "384": [3, 77, 602, 622, 628, 705], "avgpool": [3, 7], "adaptiveavgpool2d": [3, 7, 779], "6": [3, 6, 7, 8, 9, 11, 19, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 62, 64, 65, 71, 72, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 93, 97, 98, 105, 107, 112, 117, 122, 123, 130, 131, 134, 135, 138, 144, 148, 149, 150, 158, 160, 168, 214, 215, 217, 218, 220, 221, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 245, 246, 247, 248, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 263, 265, 266, 267, 268, 270, 271, 272, 274, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 289, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 306, 307, 313, 324, 329, 330, 332, 334, 342, 343, 345, 346, 347, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 376, 378, 380, 389, 391, 394, 395, 399, 400, 404, 410, 411, 412, 414, 417, 420, 423, 424, 428, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 457, 459, 463, 464, 468, 469, 472, 473, 478, 479, 481, 482, 487, 488, 498, 500, 501, 503, 508, 510, 511, 512, 513, 515, 517, 519, 520, 526, 528, 529, 532, 533, 534, 540, 541, 548, 549, 550, 565, 579, 580, 581, 582, 584, 588, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 654, 655, 656, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 694, 695, 696, 697, 698, 699, 700, 701, 705, 706, 716, 717, 723, 724, 725, 726, 727, 728, 730, 731, 732, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 763, 778, 799, 802, 805, 808, 810, 812, 813, 814, 816, 819, 824, 829, 832, 834, 836, 837, 838], "classifi": [3, 9, 11, 13, 26, 27, 40, 42, 43, 799, 804, 848, 849], "prob": [3, 42, 52, 56, 75, 79, 84, 368, 375, 391, 392, 393, 496, 623, 630, 646, 725, 779, 799], "linear": [3, 7, 13, 25, 26, 27, 38, 39, 40, 42, 45, 52, 53, 56, 68, 75, 76, 79, 105, 107, 109, 110, 113, 290, 293, 297, 299, 300, 301, 305, 346, 360, 365, 368, 371, 380, 403, 436, 473, 520, 537, 560, 613, 621, 623, 628, 649, 673, 712, 763, 765, 766, 778, 779, 799, 812, 817, 822, 823, 825, 826, 829, 832, 834, 837, 838, 839, 849, 853, 854, 855, 858], "4096": 3, "_forward": [3, 5, 6, 8, 26, 27, 38, 39, 42, 799, 817, 834, 837, 838], "x": [3, 5, 9, 11, 13, 17, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 42, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 121, 122, 123, 124, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 163, 164, 167, 168, 170, 175, 191, 192, 196, 201, 202, 203, 207, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 269, 270, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 316, 322, 323, 327, 329, 330, 331, 332, 334, 335, 336, 337, 338, 341, 342, 343, 344, 345, 346, 347, 348, 349, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 378, 379, 380, 381, 385, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 414, 416, 418, 419, 421, 423, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 454, 455, 457, 458, 460, 461, 463, 466, 469, 470, 471, 472, 473, 474, 475, 476, 477, 480, 481, 483, 485, 486, 488, 489, 490, 491, 492, 493, 494, 495, 502, 503, 504, 505, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 558, 559, 560, 562, 569, 570, 571, 574, 577, 578, 579, 580, 581, 582, 584, 586, 587, 588, 600, 601, 603, 604, 605, 607, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 708, 711, 712, 713, 714, 715, 716, 717, 722, 723, 724, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 779, 782, 785, 788, 792, 797, 799, 802, 804, 807, 809, 810, 812, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 848, 849, 850], "reshap": [3, 26, 27, 42, 43, 52, 56, 57, 59, 69, 75, 79, 80, 82, 353, 365, 368, 369, 371, 386, 387, 388, 391, 404, 405, 406, 409, 418, 433, 457, 463, 601, 621, 623, 624, 626, 639, 641, 645, 665, 681, 799, 825, 826, 829, 832, 834, 836, 839], "bidirect": 4, "encod": [4, 11, 13, 26, 27, 40, 42, 53, 58, 76, 81, 537, 621, 625, 683, 799, 837, 845, 849], "mlm": 4, "support": [4, 8, 9, 17, 21, 22, 23, 24, 26, 29, 41, 50, 52, 53, 57, 73, 75, 76, 80, 142, 161, 165, 187, 194, 209, 218, 235, 242, 263, 264, 268, 278, 296, 322, 342, 360, 362, 365, 369, 371, 403, 421, 481, 526, 538, 547, 550, 551, 568, 582, 616, 617, 618, 619, 621, 623, 624, 647, 658, 659, 660, 663, 665, 674, 681, 758, 764, 771, 783, 788, 789, 792, 799, 801, 802, 804, 805, 806, 808, 809, 811, 815, 816, 817, 819, 821, 822, 824, 825, 827, 829, 830, 832, 833, 834, 836, 837, 839, 841, 842, 844, 845, 846, 849, 852, 854, 855, 858, 860, 861, 862], "googl": [4, 21, 22, 23, 24, 40, 41, 42, 44, 813, 845], "type": [4, 6, 11, 13, 17, 23, 26, 27, 32, 40, 41, 42, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 527, 528, 529, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 758, 760, 763, 764, 765, 766, 770, 771, 775, 778, 779, 780, 781, 785, 788, 792, 793, 794, 797, 799, 804, 805, 806, 807, 808, 809, 812, 815, 816, 817, 818, 821, 823, 825, 827, 829, 830, 832, 834, 836, 837, 848, 849, 850, 855, 856, 859], "choos": [4, 40, 42, 50, 62, 63, 73, 209, 235, 242, 263, 264, 268, 329, 330, 365, 371, 618, 619, 631, 632, 634, 735, 736, 737, 738, 739, 747, 748, 749, 751, 763, 799, 804, 805, 806, 823, 829, 835, 839, 848], "librari": [4, 6, 8, 15, 16, 22, 24, 38, 40, 50, 63, 73, 209, 240, 242, 258, 263, 264, 286, 329, 330, 365, 618, 619, 624, 632, 634, 659, 660, 736, 737, 738, 739, 747, 748, 749, 751, 799, 804, 805, 808, 814, 839, 840, 844, 845, 846, 848, 851, 852, 853, 855, 859, 862], "pretrain": [4, 6, 11, 12, 13, 26, 27, 45, 799, 849], "save": [4, 7, 40, 52, 69, 75, 380, 517, 577, 599, 618, 621, 635, 781, 805, 813, 820, 829, 840, 846, 854], "some": [4, 5, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 31, 32, 38, 42, 43, 69, 77, 240, 242, 258, 368, 391, 392, 393, 602, 603, 606, 608, 609, 610, 618, 619, 622, 628, 716, 779, 799, 802, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 836, 837, 838, 840, 841, 842, 845, 846, 848, 849, 851, 852, 854, 855, 856, 861, 862], "mohame54": 4, "automodel": [4, 8, 26], "autotoken": 4, "load": [4, 6, 8, 23, 26, 40, 41, 42, 43, 44, 45, 69, 369, 437, 635, 781, 799, 829, 840, 854, 861], "token": [4, 42], "bert_bas": 4, "from_pretrain": [4, 8, 26, 43, 848, 849], "base": [4, 9, 40, 43, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100, 102, 133, 142, 174, 238, 239, 256, 257, 258, 259, 273, 313, 322, 324, 331, 334, 339, 346, 362, 365, 368, 369, 378, 410, 414, 437, 502, 570, 580, 592, 616, 617, 619, 621, 624, 626, 632, 634, 665, 689, 736, 737, 738, 739, 746, 761, 764, 765, 768, 769, 770, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 787, 788, 793, 794, 797, 799, 805, 806, 808, 812, 813, 814, 818, 821, 823, 824, 825, 827, 828, 829, 830, 831, 832, 834, 855, 860, 862], "uncas": 4, "eval": [4, 5, 7, 21, 22, 23, 24, 781], "evalu": [4, 51, 52, 69, 74, 75, 238, 240, 256, 257, 258, 259, 263, 270, 272, 279, 283, 316, 347, 358, 359, 362, 367, 369, 370, 371, 433, 446, 470, 612, 619, 622, 628, 635, 715, 716, 754, 755, 780, 781, 806, 812, 814, 822, 823, 855], "bert_token": 4, "sampl": [4, 6, 8, 11, 13, 23, 26, 27, 41, 48, 51, 52, 61, 65, 71, 74, 75, 84, 88, 132, 133, 287, 313, 362, 368, 370, 371, 375, 391, 392, 393, 403, 413, 415, 446, 476, 496, 497, 498, 499, 500, 616, 619, 630, 634, 725, 726, 727, 728, 751, 753, 779, 827, 829], "test": [4, 18, 19, 21, 22, 28, 29, 31, 32, 33, 41, 42, 51, 53, 66, 74, 76, 89, 120, 166, 170, 249, 250, 251, 252, 275, 368, 391, 392, 393, 557, 615, 617, 619, 621, 635, 754, 755, 758, 761, 764, 793, 799, 801, 802, 803, 807, 811, 814, 816, 818, 820, 823, 826, 828, 830, 840, 841, 846, 848, 849, 850, 855], "did": [4, 40, 804, 811, 839, 845, 861], "realli": [4, 38, 805, 812, 819, 840, 848, 860, 861], "like": [4, 6, 8, 18, 19, 20, 26, 28, 29, 30, 31, 32, 33, 43, 45, 48, 51, 52, 59, 71, 74, 75, 79, 82, 87, 133, 151, 174, 219, 239, 245, 248, 261, 279, 335, 339, 351, 365, 368, 369, 370, 371, 378, 380, 410, 412, 421, 443, 452, 453, 462, 463, 502, 503, 520, 616, 617, 619, 624, 626, 630, 633, 658, 693, 728, 741, 793, 799, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 845, 848, 849, 855, 860], "input": [4, 5, 8, 11, 13, 23, 24, 26, 31, 32, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 150, 151, 152, 153, 155, 156, 157, 158, 159, 160, 163, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 189, 191, 192, 205, 208, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 411, 412, 413, 414, 415, 416, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 431, 433, 434, 435, 436, 437, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 456, 457, 458, 459, 461, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 564, 565, 566, 572, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 594, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 764, 771, 775, 778, 779, 780, 781, 782, 792, 793, 808, 809, 810, 812, 814, 815, 816, 817, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 848, 849, 856, 859], "pad": [4, 7, 40, 42, 52, 56, 59, 75, 79, 82, 93, 95, 368, 371, 386, 387, 388, 389, 390, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 537, 621, 623, 626, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 688, 701, 765, 779, 799], "longest": 4, "return_tensor": [4, 8, 26, 43, 848, 849], "pt": [4, 8, 26, 848], "max_length": [4, 69], "512": [4, 5, 7, 40, 42, 80, 623, 638, 679, 799], "input_id": 4, "101": [4, 9, 41, 623, 624, 628, 647, 662, 711], "1045": 4, "2106": 4, "1005": 4, "1056": 4, "2428": 4, "2066": 4, "2115": 4, "4309": 4, "1012": 4, "102": [4, 9, 52, 75, 84, 389, 726], "token_type_id": 4, "attention_mask": [4, 56, 79, 623, 649], "pooler": 4, "compar": [4, 6, 8, 26, 39, 43, 45, 52, 53, 63, 64, 65, 69, 75, 76, 87, 88, 328, 344, 365, 380, 518, 522, 525, 621, 632, 633, 634, 736, 737, 738, 739, 740, 743, 749, 760, 799, 810, 816, 818, 827, 829, 832, 837, 851, 853, 855, 861, 862], "no_grad": [4, 40, 848], "bert_output": 4, "pooler_output": 4, "ivy_bert": 4, "bert_base_uncas": 4, "ivy_input": 4, "k": [4, 6, 39, 42, 48, 52, 53, 56, 57, 61, 71, 74, 75, 79, 80, 84, 92, 93, 117, 127, 140, 141, 142, 262, 307, 322, 323, 362, 369, 371, 375, 378, 380, 419, 432, 436, 438, 440, 479, 483, 496, 497, 498, 499, 500, 503, 513, 525, 615, 616, 621, 623, 624, 628, 630, 631, 649, 652, 656, 664, 665, 671, 673, 674, 675, 678, 713, 726, 727, 728, 734, 799, 807, 808, 826, 827, 834, 848, 851, 855], "ivy_output": [4, 43], "logits_clos": 4, "allclos": [4, 6, 8, 11, 13, 26, 43, 45, 52, 75, 365], "detach": [4, 6, 8, 11, 13, 26, 824], "rtol": [4, 11, 13, 52, 57, 75, 80, 328, 344, 365, 624, 667, 670, 758, 760, 802, 819, 827], "005": [4, 7, 52, 75, 328, 344, 365, 442], "atol": [4, 6, 8, 26, 52, 57, 75, 80, 328, 344, 365, 624, 667, 758, 760, 802, 819, 827], "equal": [4, 48, 49, 51, 52, 53, 57, 58, 59, 61, 63, 64, 65, 69, 72, 74, 75, 76, 80, 81, 82, 84, 87, 93, 97, 98, 127, 129, 130, 131, 137, 138, 147, 227, 229, 233, 238, 240, 249, 250, 271, 273, 278, 281, 282, 286, 324, 325, 326, 328, 344, 362, 365, 368, 369, 371, 374, 380, 390, 411, 436, 459, 468, 481, 487, 492, 493, 495, 513, 522, 525, 601, 616, 617, 619, 621, 624, 625, 626, 630, 631, 632, 633, 634, 657, 666, 667, 670, 672, 678, 683, 686, 688, 693, 695, 701, 728, 734, 736, 737, 738, 739, 740, 743, 748, 750, 751, 752, 753, 771, 778, 779, 811, 812, 814, 816, 818, 827, 829], "els": [4, 5, 6, 9, 41, 42, 44, 45, 52, 53, 61, 74, 75, 84, 153, 154, 155, 156, 157, 169, 275, 279, 368, 369, 375, 413, 426, 435, 439, 441, 497, 532, 536, 617, 619, 621, 623, 628, 630, 648, 715, 718, 726, 727, 728, 758, 792, 793, 799, 804, 805, 806, 808, 810, 814, 815, 818, 822, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 856], "768": 4, "fn": [4, 43, 45, 52, 69, 72, 75, 101, 161, 162, 194, 195, 198, 371, 450, 523, 538, 539, 588, 617, 618, 621, 628, 711, 712, 713, 715, 716, 717, 758, 760, 785, 788, 794, 795, 797, 815, 818, 825, 826, 834, 848], "finish": [4, 15, 26, 27, 38, 41, 799, 800, 804, 805, 807], "2f": [4, 6], "sec": 4, "89": [4, 9, 38, 51, 61, 72, 74, 75, 84, 98, 163, 230, 617, 624, 634, 676, 727, 728, 752], "43": [4, 9, 38, 40, 42, 52, 75, 84, 98, 229, 368, 369, 380, 388, 420, 511, 619, 630, 631, 727, 728, 735], "procedur": [4, 811, 813, 816, 827], "60": [4, 38, 42, 51, 65, 74, 76, 84, 88, 219, 253, 371, 478, 541, 549, 565, 579, 601, 619, 621, 624, 628, 634, 669, 708, 726, 744, 746, 750, 793, 813], "big": [4, 778, 800, 840, 855], "jnp": [4, 18, 23, 26, 27, 28, 29, 32, 38, 40, 44, 799, 814, 815, 818, 821, 825, 830, 834, 839, 849, 850], "config": [4, 5, 6, 8, 9, 20, 23, 26, 27, 40, 41, 43, 69, 628, 718, 799, 805, 808, 811, 813, 820, 827, 837, 848, 856], "jax_enable_x64": [4, 5, 6, 8, 9, 20, 23, 26, 27, 799], "ref": [4, 5, 76, 80, 254, 268, 271, 277, 284, 619, 626, 697, 805, 825], "initi": [4, 26, 27, 43, 52, 56, 65, 69, 75, 79, 88, 98, 369, 380, 426, 435, 441, 518, 519, 623, 634, 648, 749, 776, 779, 780, 781, 783, 784, 799, 806, 810, 814, 815, 819, 827, 829, 834, 845, 848, 849, 850, 855, 861, 862], "fast": [4, 21, 31, 52, 368, 390, 855], "valu": [4, 9, 38, 39, 41, 42, 48, 49, 51, 52, 53, 54, 56, 57, 59, 60, 61, 62, 63, 64, 65, 68, 69, 71, 72, 74, 75, 76, 77, 79, 80, 82, 83, 84, 85, 86, 87, 88, 95, 97, 98, 100, 113, 117, 118, 120, 121, 127, 130, 131, 132, 133, 136, 142, 147, 164, 168, 174, 207, 208, 215, 216, 217, 218, 220, 222, 223, 224, 231, 235, 236, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 265, 266, 267, 268, 269, 270, 271, 272, 273, 275, 276, 277, 278, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 293, 296, 301, 304, 305, 307, 314, 316, 322, 324, 325, 326, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 341, 342, 344, 345, 347, 350, 352, 353, 354, 355, 356, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 379, 380, 390, 403, 410, 411, 413, 415, 419, 422, 426, 430, 435, 437, 439, 441, 442, 444, 445, 446, 447, 456, 462, 467, 473, 478, 480, 481, 482, 483, 486, 489, 491, 496, 497, 499, 500, 506, 508, 511, 512, 513, 516, 517, 518, 519, 520, 526, 528, 529, 530, 532, 537, 540, 541, 543, 548, 549, 550, 557, 564, 565, 569, 570, 571, 574, 582, 587, 592, 593, 596, 599, 600, 601, 602, 603, 604, 608, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 648, 649, 652, 656, 659, 660, 665, 666, 667, 670, 671, 672, 673, 674, 675, 678, 681, 686, 687, 688, 692, 693, 701, 702, 703, 707, 709, 710, 711, 712, 713, 718, 722, 723, 724, 725, 726, 727, 728, 729, 731, 732, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 758, 760, 763, 764, 765, 766, 768, 770, 775, 778, 779, 780, 781, 782, 783, 802, 805, 806, 808, 811, 812, 814, 815, 816, 817, 818, 819, 821, 822, 825, 826, 829, 831, 832, 834, 836, 840, 848, 855, 856], "demo": [5, 6, 7, 8, 9, 27, 34, 38, 42, 799], "milesi": 5, "blob": [5, 40, 42], "2f62e6b1c8e98022a6418d31a76f6abd800e5ae7": 5, "util": [5, 8, 21, 22, 23, 24, 40, 43, 52, 75, 193, 369, 437, 618, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 805, 811, 815, 818, 819, 822, 825, 829, 830, 834, 849, 853, 861, 862], "data_load": 5, "py": [5, 7, 8, 21, 22, 23, 24, 40, 42, 45, 88, 369, 437, 746, 788, 792, 799, 804, 805, 806, 808, 810, 813, 814, 815, 817, 818, 819, 820, 821, 822, 826, 827, 829, 830, 834, 836, 838, 839], "l65": 5, "mask_valu": 5, "pil_img": 5, "scale": [5, 6, 40, 52, 56, 60, 75, 77, 79, 83, 107, 206, 207, 298, 299, 302, 313, 342, 360, 362, 365, 368, 369, 374, 385, 391, 392, 393, 401, 403, 408, 412, 428, 489, 490, 491, 609, 613, 618, 622, 623, 629, 646, 649, 652, 724, 763, 765, 766, 778, 779, 783, 793, 855, 857], "is_mask": 5, "w": [5, 8, 41, 42, 52, 53, 54, 56, 69, 74, 75, 76, 77, 79, 92, 262, 342, 357, 365, 367, 368, 369, 374, 386, 387, 388, 390, 404, 405, 406, 407, 423, 441, 494, 509, 533, 535, 579, 602, 603, 604, 606, 608, 609, 610, 621, 622, 623, 628, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 711, 799, 807, 824, 834, 837, 838, 849], "h": [5, 52, 53, 56, 75, 76, 79, 368, 374, 387, 388, 405, 406, 494, 533, 535, 621, 623, 628, 636, 639, 640, 641, 642, 643, 644, 645, 708, 712, 714, 717, 722, 807, 811, 812, 813, 849, 851], "size": [5, 9, 11, 13, 18, 21, 22, 28, 29, 31, 32, 33, 40, 42, 45, 52, 53, 56, 57, 59, 61, 62, 69, 75, 76, 79, 80, 82, 84, 85, 92, 93, 97, 98, 129, 132, 206, 207, 208, 306, 309, 313, 324, 325, 326, 327, 334, 349, 356, 362, 365, 366, 368, 369, 371, 374, 375, 378, 380, 382, 383, 384, 385, 386, 387, 403, 404, 405, 407, 408, 414, 415, 422, 425, 435, 441, 443, 457, 459, 471, 481, 483, 490, 491, 494, 498, 503, 515, 516, 517, 518, 519, 520, 559, 564, 616, 618, 621, 623, 624, 626, 630, 631, 635, 649, 652, 654, 657, 661, 665, 669, 671, 674, 680, 689, 694, 695, 696, 725, 731, 734, 754, 755, 763, 765, 766, 779, 793, 799, 825, 827, 829, 832, 837, 848, 850], "neww": 5, "newh": 5, "int": [5, 40, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 101, 108, 112, 113, 122, 123, 127, 129, 130, 131, 132, 133, 136, 140, 141, 142, 149, 156, 159, 160, 163, 170, 185, 199, 200, 201, 208, 209, 218, 225, 226, 227, 228, 229, 230, 242, 245, 269, 273, 278, 284, 287, 294, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 329, 330, 334, 335, 338, 342, 349, 351, 353, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 418, 422, 424, 425, 426, 427, 429, 432, 434, 435, 438, 439, 441, 445, 449, 450, 454, 458, 459, 462, 463, 466, 468, 471, 472, 473, 474, 475, 476, 477, 478, 479, 481, 482, 483, 485, 486, 487, 490, 492, 493, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 523, 533, 534, 535, 537, 540, 541, 544, 545, 559, 562, 564, 579, 580, 581, 585, 601, 602, 603, 604, 605, 608, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 654, 656, 657, 665, 666, 671, 676, 678, 679, 680, 681, 683, 684, 685, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 708, 711, 712, 714, 716, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 734, 736, 738, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 775, 778, 779, 792, 793, 812, 814, 815, 816, 818, 821, 822, 825, 827, 829, 830, 832, 834, 839, 848], "assert": [5, 9, 41, 43, 45, 69, 526, 621, 771, 802, 807, 808, 819, 822, 825, 826, 827, 829, 830, 836, 837], "too": [5, 52, 75, 218, 235, 242, 268, 371, 481, 619, 778, 804, 805, 806, 808, 814, 818, 830, 840], "small": [5, 9, 42, 51, 52, 57, 60, 74, 75, 80, 83, 235, 242, 268, 269, 328, 344, 365, 369, 370, 374, 430, 446, 489, 490, 491, 619, 624, 629, 667, 670, 672, 724, 778, 782, 799, 805, 813, 816, 822, 827, 832, 834, 838, 840, 848, 849, 856], "would": [5, 8, 9, 20, 21, 22, 23, 24, 26, 27, 30, 32, 34, 42, 48, 50, 52, 71, 73, 75, 82, 108, 112, 123, 209, 368, 371, 395, 400, 451, 452, 459, 461, 463, 464, 465, 472, 476, 487, 613, 618, 689, 690, 691, 693, 695, 696, 698, 700, 765, 775, 779, 799, 800, 802, 804, 805, 806, 807, 808, 809, 810, 812, 813, 814, 816, 817, 819, 821, 823, 825, 826, 827, 829, 830, 832, 833, 834, 836, 838, 839, 840, 841, 845, 848, 855, 861], "pixel": [5, 40, 52, 75, 368, 403], "resampl": 5, "nearest": [5, 52, 75, 218, 235, 268, 278, 338, 365, 368, 380, 403, 520, 619, 832], "bicub": [5, 52, 75, 368, 403, 832], "zero": [5, 40, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 63, 65, 66, 71, 72, 74, 75, 77, 79, 80, 84, 85, 88, 89, 93, 107, 109, 110, 111, 113, 124, 125, 127, 129, 134, 136, 137, 138, 140, 141, 144, 147, 148, 216, 217, 218, 220, 221, 222, 223, 224, 227, 229, 230, 232, 233, 234, 235, 237, 240, 241, 242, 249, 250, 251, 252, 258, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 277, 278, 280, 281, 282, 283, 285, 286, 288, 289, 291, 293, 297, 299, 305, 307, 316, 323, 329, 330, 333, 334, 335, 338, 346, 349, 351, 352, 353, 354, 360, 362, 365, 368, 369, 371, 378, 380, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 410, 411, 412, 413, 414, 415, 420, 422, 433, 436, 457, 467, 472, 473, 484, 502, 511, 512, 529, 533, 540, 560, 565, 602, 603, 608, 609, 610, 611, 613, 616, 617, 619, 621, 622, 623, 624, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 643, 645, 646, 647, 649, 652, 653, 655, 659, 660, 662, 663, 664, 665, 666, 667, 668, 670, 672, 678, 680, 681, 688, 689, 690, 691, 693, 694, 701, 724, 726, 727, 728, 731, 732, 733, 734, 736, 737, 738, 739, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 778, 779, 783, 809, 812, 814, 815, 816, 821, 823, 824, 827, 834, 837, 838, 846, 854], "int64": [5, 52, 61, 62, 64, 65, 72, 84, 85, 87, 88, 137, 150, 156, 159, 161, 163, 167, 168, 172, 179, 310, 362, 378, 380, 503, 511, 512, 616, 617, 631, 633, 634, 726, 731, 732, 733, 742, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "enumer": [5, 40, 42, 768, 799], "ndim": [5, 52, 57, 62, 75, 80, 85, 97, 101, 369, 371, 434, 435, 441, 451, 452, 453, 466, 474, 476, 485, 601, 621, 624, 631, 671, 674, 734, 812, 822, 829], "newaxi": [5, 614], "transpos": [5, 23, 26, 27, 44, 52, 56, 57, 69, 75, 79, 80, 97, 369, 416, 432, 434, 436, 509, 623, 624, 636, 638, 640, 642, 643, 644, 664, 668, 670, 676, 765, 779, 799, 819, 825, 836, 839, 849], "255": [5, 23, 26, 27, 40, 41, 42, 44, 56, 75, 79, 229, 619, 645, 799, 849], "car": 5, "full_img": 5, "from_numpi": [5, 837], "fals": [5, 6, 7, 8, 13, 17, 26, 29, 40, 41, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 123, 124, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 160, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 191, 192, 197, 199, 202, 203, 205, 208, 209, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 409, 410, 411, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 460, 461, 462, 463, 464, 465, 468, 469, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 502, 503, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 560, 564, 565, 566, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 589, 594, 595, 597, 598, 600, 603, 604, 606, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 715, 716, 717, 718, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 775, 776, 779, 780, 781, 783, 785, 788, 792, 793, 794, 797, 799, 802, 805, 808, 810, 813, 814, 815, 816, 818, 819, 825, 826, 827, 829, 831, 832, 834, 837, 838, 839, 848, 849], "permut": [5, 7, 40, 59, 82, 97, 378, 502, 626, 691, 698, 849], "img_numpi": 5, "cpu": [5, 6, 8, 21, 22, 23, 24, 26, 40, 41, 42, 44, 45, 48, 50, 52, 61, 71, 73, 75, 84, 121, 127, 130, 132, 133, 136, 137, 138, 144, 188, 189, 191, 192, 193, 194, 199, 202, 204, 206, 209, 210, 212, 214, 375, 496, 497, 499, 500, 616, 618, 624, 630, 663, 725, 726, 727, 728, 760, 778, 779, 780, 781, 782, 783, 784, 799, 802, 805, 806, 811, 814, 815, 819, 826, 829, 840, 853, 855, 858, 860], "torch_unet": 5, "unet_carvana": 5, "when": [5, 7, 8, 9, 17, 19, 21, 22, 23, 24, 26, 27, 29, 31, 32, 33, 41, 43, 47, 48, 49, 51, 52, 57, 58, 61, 62, 65, 69, 71, 72, 74, 75, 80, 81, 84, 85, 88, 98, 136, 147, 218, 235, 240, 242, 258, 268, 286, 287, 294, 329, 330, 360, 365, 368, 369, 370, 374, 375, 380, 390, 403, 415, 422, 426, 435, 441, 446, 489, 491, 497, 517, 520, 550, 566, 574, 580, 616, 617, 619, 621, 623, 624, 625, 626, 628, 630, 631, 634, 636, 649, 667, 672, 683, 684, 685, 693, 716, 717, 726, 727, 728, 731, 732, 734, 735, 747, 749, 751, 753, 763, 766, 778, 779, 780, 781, 782, 788, 800, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 839, 840, 841, 844, 845, 848, 849, 853, 855, 858, 859, 860, 861], "ivy_unet": 5, "n_channel": 5, "n_class": 5, "forward": [5, 7, 13, 26, 27, 40, 42, 52, 75, 358, 367, 368, 390, 395, 396, 400, 401, 411, 412, 776, 778, 779, 781, 783, 799, 805, 810, 817, 824, 829, 830, 832, 839, 840, 848, 855, 856], "effici": [5, 6, 7, 8, 15, 16, 18, 19, 26, 27, 28, 29, 52, 57, 75, 80, 369, 370, 430, 445, 573, 595, 621, 624, 667, 799, 805, 806, 812, 822, 823, 825, 829, 831, 834, 837, 840, 849, 855, 857, 858], "l62": 5, "mask_to_imag": 5, "ndarrai": [5, 48, 52, 53, 71, 75, 93, 122, 123, 135, 368, 369, 371, 380, 412, 435, 478, 516, 517, 586, 616, 621, 788, 792, 804, 809, 814, 815, 818, 821, 825, 826, 827, 830, 832, 834, 836, 839, 842], "isinst": [5, 9, 24, 26, 27, 818, 826, 829, 830, 838, 839], "len": [5, 9, 40, 42, 48, 52, 57, 75, 80, 134, 310, 319, 320, 362, 368, 369, 380, 401, 412, 424, 427, 435, 441, 520, 616, 624, 659, 679, 799, 812, 813, 818, 825, 826, 829, 836, 839, 848], "uint8": [5, 23, 26, 27, 42, 150, 157, 161, 172, 175, 180, 186, 617, 763, 764, 814, 829], "elif": [5, 6, 813, 818, 825, 826, 827], "bool": [5, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 122, 123, 124, 129, 130, 131, 132, 133, 134, 136, 138, 144, 147, 148, 150, 151, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 177, 183, 187, 191, 192, 194, 195, 197, 199, 202, 203, 208, 209, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 323, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 352, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 386, 387, 388, 390, 391, 392, 393, 403, 404, 405, 406, 409, 411, 413, 415, 422, 426, 429, 432, 434, 435, 436, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 468, 472, 476, 479, 481, 482, 483, 487, 489, 491, 492, 493, 494, 495, 497, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 560, 564, 565, 569, 578, 579, 580, 582, 584, 586, 587, 600, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 646, 647, 648, 649, 652, 653, 654, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 671, 672, 673, 674, 678, 679, 681, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 765, 775, 779, 782, 783, 792, 793, 797, 814, 816, 818, 825, 826, 829, 830, 832, 834, 839, 848, 849], "argmax": [5, 41, 42, 43, 62, 85, 371, 478, 631, 799, 826, 848], "fromarrai": [5, 23, 26, 27, 42], "interpol": [5, 40, 52, 75, 346, 365, 368, 380, 520, 623, 649, 832, 855], "mode": [5, 32, 44, 52, 57, 69, 75, 80, 91, 92, 93, 94, 95, 96, 205, 208, 213, 218, 235, 268, 321, 358, 359, 362, 367, 368, 369, 371, 398, 403, 411, 412, 424, 426, 432, 434, 435, 441, 456, 466, 471, 473, 474, 476, 478, 481, 482, 485, 566, 567, 568, 572, 573, 575, 576, 589, 590, 594, 595, 597, 598, 618, 619, 621, 624, 671, 771, 779, 780, 781, 796, 805, 806, 807, 812, 815, 816, 819, 832, 840, 855, 858], "bilinear": [5, 52, 75, 368, 403, 832], "torch_mask": 5, "squeez": [5, 40, 59, 82, 626, 855], "torch_result": 5, "to_numpi": [5, 9, 26, 27, 38, 41, 42, 45, 53, 76, 621, 799, 819, 827, 837], "give": [5, 18, 28, 38, 52, 56, 75, 79, 174, 358, 367, 368, 410, 414, 617, 623, 626, 636, 637, 638, 639, 641, 643, 645, 693, 778, 799, 805, 806, 807, 810, 813, 814, 816, 817, 819, 820, 821, 829, 846, 855, 859], "img_tf": 5, "math": [5, 43, 93, 285, 619, 814, 825, 826, 827, 839, 853], "ve": [5, 9, 15, 24, 26, 61, 84, 630, 725, 804, 805, 806, 819, 829, 832, 833, 836, 842], "lot": [5, 813, 814, 823, 829, 840, 845, 846, 854], "far": [5, 26, 27, 628, 705, 716, 793, 815, 816, 835, 860, 861], "space": [5, 48, 51, 52, 53, 71, 74, 75, 76, 121, 132, 133, 287, 342, 365, 370, 443, 533, 537, 616, 619, 621, 832, 845], "del": [5, 813], "empty_cach": 5, "permute_dim": [5, 59, 82, 626, 819], "usr": [5, 40, 41, 42, 45, 805], "local": [5, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 27, 31, 32, 33, 40, 41, 42, 45, 374, 494, 545, 621, 800, 805, 808, 811, 819, 822, 827, 829], "lib": [5, 9, 21, 22, 23, 24, 40, 41, 42, 45], "python3": [5, 7, 21, 22, 23, 24, 26, 40, 42, 45, 799, 805, 806], "dist": [5, 40, 41, 42, 45], "func_wrapp": [5, 46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 815, 826, 831], "242": [5, 75], "userwarn": [5, 7, 8, 21, 22, 23, 24, 45], "creat": [5, 8, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 40, 41, 42, 44, 45, 48, 51, 52, 61, 69, 71, 74, 75, 80, 84, 93, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 142, 143, 144, 269, 306, 307, 317, 319, 321, 322, 362, 368, 369, 371, 375, 386, 387, 388, 409, 426, 435, 441, 449, 457, 473, 478, 496, 497, 498, 499, 500, 568, 584, 601, 612, 616, 619, 621, 622, 630, 669, 725, 726, 727, 728, 730, 760, 771, 776, 778, 779, 780, 781, 782, 783, 784, 800, 805, 806, 809, 810, 811, 813, 814, 815, 818, 822, 823, 825, 826, 827, 829, 832, 834, 835, 838, 841, 842, 845, 848, 849, 850, 855, 856, 861], "mani": [5, 26, 27, 30, 59, 69, 82, 142, 322, 362, 616, 626, 695, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 821, 822, 823, 825, 826, 827, 829, 832, 834, 836, 837, 840, 844, 845, 846, 851, 855, 858, 861, 862], "view": [5, 8, 21, 22, 23, 24, 52, 59, 75, 97, 128, 139, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 616, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 805, 806, 818, 855], "lead": [5, 8, 21, 22, 23, 24, 57, 69, 80, 98, 242, 369, 430, 568, 619, 621, 624, 671, 674, 765, 813, 814, 816, 828, 830, 840, 845, 846], "overhead": [5, 8, 19, 21, 22, 23, 24, 26, 27, 29, 840, 848, 858], "perform": [5, 9, 19, 21, 22, 23, 24, 26, 27, 29, 31, 38, 40, 48, 52, 56, 57, 65, 66, 71, 75, 76, 79, 80, 88, 89, 108, 112, 132, 133, 205, 213, 235, 268, 289, 335, 356, 365, 366, 368, 369, 371, 378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 409, 411, 435, 450, 503, 511, 512, 533, 534, 535, 548, 549, 550, 566, 576, 613, 616, 618, 619, 621, 623, 624, 627, 628, 634, 635, 646, 648, 674, 676, 681, 702, 703, 704, 712, 713, 744, 745, 754, 755, 758, 775, 779, 793, 808, 809, 810, 812, 814, 815, 816, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 837, 840, 846, 848, 849, 852, 855, 856, 857, 858, 859, 860, 862], "inplac": [5, 7, 8, 9, 21, 22, 23, 24, 47, 53, 69, 76, 92, 95, 524, 526, 547, 550, 551, 568, 569, 621, 628, 712, 713, 717, 722, 723, 770, 771, 776, 783, 807, 809, 816, 819, 821, 823, 826, 832, 836, 838], "17": [5, 8, 9, 21, 22, 23, 24, 38, 40, 42, 45, 46, 52, 57, 68, 74, 75, 76, 77, 79, 80, 84, 98, 107, 108, 133, 218, 235, 260, 268, 298, 306, 356, 362, 368, 371, 386, 387, 395, 396, 399, 400, 404, 405, 410, 414, 463, 534, 549, 602, 604, 613, 616, 619, 621, 622, 623, 624, 628, 630, 637, 646, 647, 657, 661, 713, 726, 727, 728, 730, 812], "factor": [5, 9, 52, 54, 56, 57, 75, 77, 79, 80, 91, 92, 93, 94, 95, 206, 207, 208, 368, 369, 374, 401, 412, 426, 427, 435, 438, 440, 441, 494, 602, 603, 608, 609, 618, 622, 623, 624, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 653, 763, 765, 766, 778, 779, 783, 818, 845], "inc": 5, "unetdoubleconv": 5, "down1": 5, "unetdown": 5, "128": [5, 7, 26, 27, 40, 49, 51, 56, 72, 74, 79, 98, 163, 239, 368, 389, 399, 533, 543, 617, 619, 621, 623, 624, 638, 640, 645, 669, 799], "down2": 5, "down3": 5, "down4": 5, "1024": [5, 7, 40, 41, 799], "up1": 5, "unetup": 5, "up2": 5, "up3": 5, "up4": 5, "outc": 5, "unetoutconv": 5, "x1": [5, 17, 26, 27, 45, 49, 51, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 87, 97, 98, 102, 148, 158, 174, 181, 201, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 266, 267, 268, 271, 273, 277, 284, 289, 307, 328, 333, 339, 340, 341, 343, 345, 350, 354, 362, 365, 369, 371, 380, 436, 467, 510, 522, 525, 617, 618, 619, 621, 624, 631, 633, 654, 661, 664, 669, 673, 676, 677, 680, 735, 742, 760, 785, 799, 808, 814, 816, 818, 821, 825, 826, 849, 850], "x2": [5, 17, 26, 27, 49, 51, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 97, 98, 102, 148, 174, 181, 201, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 266, 267, 268, 271, 273, 277, 284, 289, 328, 333, 339, 340, 341, 343, 345, 350, 354, 365, 369, 371, 380, 424, 436, 467, 510, 522, 525, 617, 618, 619, 621, 624, 631, 654, 661, 664, 669, 673, 676, 677, 680, 735, 760, 785, 808, 814, 816, 818, 821, 825, 826], "x3": [5, 49, 53, 148, 522, 617, 621], "x4": 5, "x5": 5, "in_channel": 5, "out_channel": 5, "mid_channel": 5, "double_conv": 5, "with_bia": [5, 779, 799, 838, 849], "batchnorm2d": [5, 7, 782], "downscal": [5, 53, 76, 528, 529, 550, 621], "maxpool": [5, 7], "doubl": 5, "conv": [5, 623, 779, 832], "maxpool_conv": 5, "upscal": 5, "scale_factor": [5, 52, 75, 368, 403, 832], "align_corn": [5, 52, 75, 368, 403, 832], "conv2dtranspos": [5, 779], "valid": [5, 40, 42, 52, 56, 66, 75, 79, 89, 92, 93, 152, 368, 369, 386, 387, 388, 404, 405, 406, 407, 409, 410, 414, 433, 441, 553, 617, 621, 623, 626, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 689, 697, 754, 755, 763, 764, 779, 792, 805, 810, 814, 816, 820, 824, 827, 829, 848, 856], "bhwc": 5, "diff_h": 5, "diff_w": 5, "pad_width": [5, 52, 59, 75, 82, 371, 473, 626, 688, 701], "constant_pad": [5, 59, 82, 626], "concat": [5, 38, 43, 53, 59, 69, 82, 208, 537, 618, 621, 626, 701, 827, 832, 834, 848], "openmim": 6, "mim": 6, "0rc8": 6, "torch": [6, 8, 9, 10, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 43, 44, 45, 48, 53, 57, 67, 76, 80, 124, 162, 189, 190, 204, 206, 211, 278, 329, 330, 365, 526, 550, 582, 616, 617, 618, 619, 621, 624, 627, 674, 703, 704, 760, 771, 776, 788, 799, 802, 805, 806, 808, 809, 810, 811, 813, 814, 815, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 840, 842, 848, 849, 850, 861], "request": [6, 7, 8, 21, 22, 23, 24, 26, 27, 40, 43, 52, 199, 375, 500, 618, 799, 800, 804, 816, 820, 830, 832, 846, 849], "get_model": 6, "list_model": 6, "mmengin": 6, "configdict": 6, "saniti": [6, 8, 9, 26, 826], "checkpoint": [6, 7, 43, 840], "correct": [6, 11, 13, 22, 32, 38, 40, 42, 65, 88, 181, 369, 437, 617, 626, 634, 686, 751, 753, 760, 763, 799, 802, 804, 806, 807, 812, 813, 814, 815, 818, 819, 821, 822, 825, 827, 829, 849], "against": [6, 49, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 148, 267, 286, 328, 331, 334, 344, 365, 380, 516, 517, 518, 519, 520, 557, 617, 619, 621, 624, 631, 664, 665, 667, 670, 731, 829, 834, 840, 844, 855], "zoo": 6, "checkpoint_nam": [6, 8, 26], "convnext": 6, "tiny_32xb128": 6, "noema_in1k": 6, "openmmlab": 6, "dure": [6, 8, 19, 21, 26, 29, 31, 32, 50, 54, 65, 69, 73, 77, 88, 209, 368, 391, 392, 393, 568, 588, 602, 603, 608, 618, 621, 622, 623, 624, 627, 634, 646, 664, 702, 703, 704, 751, 753, 771, 782, 783, 805, 812, 814, 815, 818, 822, 823, 825, 826, 827, 828, 829, 832, 840, 848, 855, 856, 861], "appropri": [6, 17, 21, 22, 24, 26, 27, 53, 62, 67, 85, 90, 218, 235, 242, 268, 328, 344, 365, 619, 631, 731, 799, 804, 805, 806, 818, 823, 829], "get_scal": 6, "cfg": [6, 820], "kei": [6, 19, 20, 26, 27, 42, 44, 47, 52, 56, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 378, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 457, 458, 479, 481, 483, 489, 491, 492, 493, 495, 497, 503, 510, 511, 512, 513, 522, 523, 525, 526, 528, 529, 530, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 621, 623, 627, 628, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 708, 714, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 763, 764, 770, 776, 779, 783, 799, 811, 812, 813, 822, 825, 826, 827, 829, 837, 849, 855, 858, 862], "input_shap": [6, 13, 24, 26, 27, 799], "block": [6, 26, 27, 30, 31, 32, 33, 369, 428, 799, 806, 812, 814, 818, 822, 829, 833, 835, 839, 840, 842, 849, 860, 862], "url": [6, 8, 23, 26, 27, 40, 43, 799, 849], "cocodataset": [6, 8, 23, 26, 27, 43, 799, 849], "org": [6, 7, 8, 23, 26, 27, 40, 42, 43, 45, 51, 52, 74, 75, 77, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 602, 603, 616, 617, 619, 622, 624, 626, 634, 672, 673, 701, 751, 799, 817, 849], "val2017": [6, 8, 26, 43], "000000039769": [6, 8, 26, 43], "stream": [6, 8, 23, 26, 27, 40, 43, 50, 73, 209, 618, 799, 849, 859], "_config": 6, "train_pipelin": 6, "tensor_imag": 6, "And": [6, 8, 9, 11, 13, 18, 21, 26, 27, 28, 41, 72, 358, 359, 367, 799, 808, 811, 820, 822, 829, 848], "final": [6, 8, 11, 13, 15, 23, 26, 27, 32, 38, 39, 48, 52, 53, 75, 76, 92, 120, 132, 133, 316, 362, 368, 412, 537, 615, 616, 621, 623, 648, 649, 793, 804, 806, 808, 809, 811, 813, 814, 816, 817, 822, 824, 825, 826, 828, 832, 833, 837, 848, 849, 851, 861], "transpiled_graph": [6, 8, 26], "what": [6, 8, 15, 20, 26, 27, 30, 31, 34, 39, 40, 368, 401, 412, 765, 793, 799, 804, 806, 807, 812, 813, 816, 817, 820, 821, 823, 824, 825, 826, 827, 829, 833, 834, 836, 837, 838, 839, 840, 845, 846, 851, 856, 857, 860], "improv": [6, 8, 9, 26, 29, 806, 814, 821, 822, 832, 834, 842, 846, 848, 853, 855, 857, 858], "For": [6, 7, 8, 9, 17, 19, 26, 27, 29, 32, 34, 48, 52, 57, 63, 75, 80, 121, 134, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 270, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 324, 325, 326, 329, 330, 332, 352, 362, 365, 369, 371, 432, 434, 453, 473, 476, 616, 619, 624, 626, 632, 634, 672, 674, 678, 686, 697, 736, 737, 738, 739, 747, 749, 750, 752, 764, 776, 804, 805, 806, 807, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 828, 829, 830, 832, 834, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 852, 853, 856, 861, 862], "compil": [6, 7, 8, 9, 21, 22, 24, 26, 27, 30, 43, 45, 286, 619, 771, 799, 805, 826, 830, 834, 840, 842, 849, 851, 854, 855, 856, 859, 862], "origin": [6, 8, 9, 24, 26, 27, 28, 29, 30, 32, 39, 40, 41, 45, 52, 57, 59, 65, 69, 75, 80, 82, 88, 92, 95, 97, 98, 223, 248, 275, 313, 362, 368, 369, 371, 380, 411, 435, 466, 472, 474, 477, 511, 512, 516, 517, 518, 519, 520, 619, 624, 626, 634, 665, 693, 694, 745, 760, 765, 788, 789, 799, 801, 804, 805, 806, 810, 811, 813, 814, 819, 823, 825, 826, 827, 834, 846, 848, 849, 855, 856], "_f": [6, 8, 26], "comp_model": [6, 8, 26], "equival": [6, 8, 26, 57, 80, 92, 93, 121, 229, 242, 263, 264, 277, 278, 371, 457, 481, 486, 616, 619, 624, 667, 670, 673, 681, 788, 825, 826, 832, 837, 839, 841, 849], "just": [6, 8, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 40, 42, 52, 57, 65, 80, 92, 95, 142, 322, 362, 369, 434, 616, 624, 634, 667, 746, 771, 779, 799, 802, 805, 806, 808, 810, 813, 814, 815, 816, 817, 819, 822, 823, 825, 826, 827, 829, 834, 836, 837, 840, 845, 846, 849, 855, 856, 861], "np_imag": [6, 23, 26, 27], "jax_imag": 6, "hk": [6, 8, 26, 40, 44, 799, 839, 849], "rng_kei": [6, 8, 26, 799, 849], "random": [6, 8, 11, 13, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 31, 32, 33, 40, 42, 43, 52, 56, 69, 75, 79, 317, 318, 319, 320, 321, 362, 369, 370, 426, 435, 441, 446, 496, 497, 498, 499, 500, 623, 646, 725, 726, 727, 728, 729, 730, 763, 765, 778, 792, 793, 799, 804, 815, 827, 829, 830, 839, 849, 850, 855], "prngkei": [6, 8, 19, 20, 26, 27, 40, 799, 839, 849], "42": [6, 8, 9, 19, 20, 24, 26, 27, 38, 40, 41, 46, 61, 68, 77, 84, 113, 229, 368, 389, 399, 602, 606, 613, 619, 622, 624, 629, 630, 634, 665, 669, 724, 725, 726, 727, 728, 729, 744, 746, 799, 834, 839, 849], "jax_mlp_forward": 6, "param": [6, 8, 9, 26, 40, 41, 42, 44, 69, 75, 76, 98, 523, 540, 541, 621, 785, 799, 839, 849], "init": [6, 8, 26, 40, 42, 52, 75, 369, 426, 435, 441, 799, 808, 839, 849], "rng": [6, 8, 26, 40, 799, 839, 849], "appli": [6, 8, 21, 22, 23, 24, 26, 27, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 403, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 617, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 645, 646, 647, 648, 649, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 669, 670, 671, 672, 674, 678, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 711, 714, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 765, 766, 775, 779, 782, 799, 804, 805, 806, 809, 812, 814, 815, 816, 817, 818, 820, 821, 822, 823, 825, 826, 829, 830, 832, 836, 837, 838, 839, 840, 848, 849, 856], "both": [6, 7, 8, 9, 11, 13, 21, 23, 26, 27, 31, 32, 39, 41, 48, 51, 52, 53, 56, 57, 71, 74, 75, 76, 79, 80, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 173, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 333, 335, 339, 344, 362, 365, 368, 369, 371, 375, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 467, 473, 481, 484, 496, 510, 513, 540, 544, 546, 548, 557, 587, 611, 612, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 779, 799, 802, 804, 806, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 825, 826, 829, 832, 834, 836, 837, 838, 839, 840, 848, 849, 855, 858, 860, 861, 862], "optim": [6, 8, 9, 17, 21, 22, 24, 26, 27, 40, 42, 43, 45, 52, 54, 75, 77, 306, 362, 370, 445, 446, 524, 610, 621, 622, 627, 702, 703, 704, 778, 793, 799, 814, 825, 832, 835, 837, 839, 846, 849, 853, 854, 855, 856, 857, 858, 859, 862], "each": [6, 8, 9, 19, 20, 21, 26, 27, 29, 30, 31, 33, 40, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 63, 65, 69, 72, 74, 75, 76, 77, 79, 80, 82, 85, 86, 88, 92, 93, 95, 97, 98, 106, 107, 109, 110, 111, 113, 117, 134, 148, 160, 163, 208, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 290, 292, 297, 299, 300, 301, 303, 304, 305, 310, 321, 324, 325, 326, 332, 339, 343, 347, 352, 355, 360, 362, 365, 368, 369, 371, 374, 375, 378, 380, 386, 387, 388, 391, 392, 393, 396, 404, 405, 406, 407, 410, 412, 413, 414, 421, 422, 427, 434, 435, 439, 441, 451, 452, 453, 457, 458, 459, 464, 465, 467, 468, 470, 472, 473, 476, 478, 486, 487, 494, 496, 503, 508, 509, 510, 511, 512, 513, 522, 525, 533, 540, 541, 557, 581, 601, 603, 604, 606, 608, 609, 610, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 653, 654, 655, 658, 659, 660, 664, 666, 667, 668, 670, 672, 673, 674, 679, 688, 692, 694, 695, 697, 699, 701, 711, 718, 725, 734, 736, 737, 739, 745, 746, 753, 763, 765, 779, 782, 783, 784, 793, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 839, 840, 844, 845, 846, 848, 849, 851, 852, 856, 858, 861], "timeit": [6, 8, 9, 19, 26, 27, 43, 45], "06": [6, 9, 21, 42, 49, 61, 74, 77, 96, 105, 160, 217, 233, 368, 389, 399, 608, 613, 617, 622, 728, 758, 760, 829, 837], "m": [6, 7, 8, 9, 26, 39, 41, 43, 45, 48, 52, 57, 61, 74, 75, 80, 84, 97, 134, 140, 141, 142, 262, 322, 323, 362, 368, 369, 370, 371, 375, 390, 421, 426, 427, 429, 442, 453, 464, 465, 479, 496, 497, 498, 499, 500, 616, 624, 628, 630, 653, 655, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 713, 726, 727, 728, 799, 805, 806, 807, 813, 834], "per": [6, 8, 9, 19, 40, 42, 52, 56, 75, 79, 313, 362, 368, 369, 371, 386, 387, 388, 404, 405, 406, 407, 434, 480, 623, 637, 639, 640, 641, 642, 645, 649, 779, 806, 813, 823, 826, 837], "loop": [6, 8, 9, 19, 34, 67, 75, 90, 117, 120, 368, 413, 615, 627, 702, 703, 704, 799, 810, 840, 848], "100": [6, 7, 8, 9, 38, 40, 42, 48, 51, 52, 71, 74, 75, 76, 79, 96, 133, 142, 229, 269, 282, 322, 344, 353, 362, 365, 368, 369, 371, 391, 392, 435, 441, 478, 541, 549, 565, 616, 619, 621, 624, 628, 662, 711, 799, 813, 814, 829, 837, 838, 839, 840, 845, 846, 848], "block_until_readi": 6, "08": [6, 52, 65, 75, 84, 221, 328, 344, 365, 368, 370, 389, 399, 446, 619, 727, 728, 753, 758, 763, 820], "\u00b5": [6, 8, 9, 19], "made": [6, 8, 26, 52, 59, 75, 369, 371, 428, 451, 452, 453, 697, 804, 806, 808, 809, 812, 813, 818, 820, 822, 824, 825, 826, 830, 832, 834, 836, 845, 855], "significantli": [6, 8, 26, 52, 57, 75, 80, 369, 439, 624, 674, 813, 844, 853], "line": [6, 8, 9, 15, 16, 19, 20, 23, 26, 27, 29, 30, 41, 42, 285, 619, 799, 805, 808, 809, 813, 815, 816, 818, 826, 829, 832, 835, 836, 837, 838, 846, 849, 858], "even": [6, 23, 26, 27, 52, 75, 92, 235, 268, 273, 278, 371, 380, 473, 510, 619, 805, 806, 808, 810, 813, 814, 815, 817, 821, 822, 825, 826, 827, 832, 836, 837, 838, 839, 840, 845, 846, 861], "better": [6, 9, 29, 38, 44, 45, 804, 807, 826, 827, 830, 832, 833, 836, 837, 838, 846, 858], "v100": 6, "3x": 6, "increas": [6, 8, 9, 19, 26, 29, 52, 57, 59, 75, 80, 82, 95, 371, 380, 473, 513, 624, 626, 679, 688, 701, 765, 814, 818, 826, 830, 832, 844, 848, 855], "execut": [6, 8, 17, 18, 19, 21, 22, 23, 24, 26, 27, 29, 31, 34, 41, 43, 45, 118, 120, 588, 615, 618, 621, 805, 806, 811, 812, 813, 814, 815, 816, 818, 822, 823, 825, 829, 832, 834, 836, 839, 840, 842, 848, 851, 855, 856, 857, 858, 859, 861], "train2017": [6, 8, 23, 26, 27, 799, 849], "000000283921": [6, 8, 26], "out_torch": [6, 8, 26], "et": [6, 623, 624, 649, 674], "took": [6, 74, 275], "out_jax": [6, 8, 26], "1e": [6, 7, 8, 11, 13, 26, 38, 42, 49, 52, 54, 57, 58, 60, 72, 75, 77, 80, 81, 83, 96, 160, 328, 344, 365, 370, 374, 446, 489, 490, 491, 570, 571, 579, 592, 593, 602, 603, 608, 610, 617, 621, 622, 624, 625, 629, 674, 683, 684, 685, 724, 758, 760, 780, 782, 783, 799, 802, 812, 819, 822, 825, 827, 838, 839], "66m": 6, "53m": 6, "That": [6, 8, 11, 13, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 40, 277, 370, 445, 619, 792, 805, 806, 809, 829, 836, 837, 838, 856], "pretti": [6, 8, 26, 27, 40, 802, 819, 837, 861], "much": [6, 8, 9, 17, 18, 24, 26, 27, 28, 29, 40, 95, 328, 344, 365, 778, 804, 805, 806, 809, 812, 814, 822, 825, 826, 827, 830, 831, 832, 834, 836, 837, 845, 853, 855, 861, 862], "achiev": [6, 8, 9, 26, 799, 813, 814, 822, 823, 829, 832, 837, 839, 842], "solid": [6, 8, 26], "associ": [7, 52, 57, 75, 80, 218, 268, 371, 380, 450, 513, 619, 624, 667, 670, 682, 760, 806, 814, 822, 823, 826, 827, 829, 840], "python": [7, 11, 17, 29, 34, 38, 40, 41, 42, 44, 45, 52, 61, 75, 84, 121, 202, 214, 242, 277, 368, 375, 413, 496, 497, 498, 499, 500, 601, 616, 618, 619, 621, 630, 725, 726, 727, 728, 730, 788, 792, 793, 803, 805, 806, 808, 811, 812, 813, 818, 819, 826, 828, 829, 834, 836, 837, 840, 842, 843, 844, 845, 848, 852, 855, 856, 857, 861, 862], "2023": [7, 8, 21, 22, 23, 24, 40], "02": [7, 8, 40, 48, 53, 54, 60, 61, 74, 77, 84, 133, 220, 221, 260, 368, 389, 399, 400, 579, 580, 602, 603, 608, 616, 619, 621, 622, 625, 629, 630, 683, 724, 727, 728, 827], "52": [7, 9, 38, 51, 74, 76, 77, 84, 223, 233, 235, 380, 511, 533, 534, 549, 602, 619, 621, 622, 623, 624, 634, 647, 669, 728, 746, 792], "00": [7, 9, 40, 42, 45, 52, 53, 57, 75, 76, 80, 240, 306, 337, 362, 368, 389, 395, 399, 400, 537, 580, 619, 621, 624, 625, 660, 671, 683, 763, 820, 829], "resolv": [7, 40, 42, 52, 65, 242, 380, 511, 512, 619, 626, 634, 689, 744, 745, 750, 752, 806, 811, 814, 820, 834], "185": [7, 40, 68], "199": [7, 40, 221, 619], "110": [7, 40], "133": [7, 40, 56, 529, 621, 647], "111": [7, 40, 628, 723], "108": [7, 9, 21, 22, 23, 24, 40, 623, 634, 647, 746], "connect": [7, 40, 779, 799, 801, 805, 811, 828, 838, 839, 845, 853], "443": [7, 40, 280, 619], "sent": [7, 40], "await": [7, 40], "respons": [7, 40, 374, 494, 806, 813, 814], "200": [7, 9, 40, 76, 79, 229, 368, 391, 392, 541, 565, 619, 621, 792, 837], "ok": [7, 40, 805], "length": [7, 40, 41, 48, 52, 58, 59, 69, 75, 81, 82, 92, 93, 98, 121, 129, 134, 308, 311, 312, 327, 335, 362, 365, 368, 369, 371, 375, 378, 389, 390, 395, 396, 399, 400, 401, 411, 412, 413, 415, 427, 434, 473, 482, 498, 503, 601, 616, 621, 623, 624, 625, 626, 632, 649, 674, 675, 683, 693, 736, 763, 779, 829, 837], "10472": 7, "10k": 7, "plain": [7, 40], "tx": 7, "23k": 7, "kb": [7, 40, 42, 45], "57": [7, 9, 38, 40, 51, 52, 74, 75, 193, 216, 217, 220, 221, 223, 233, 234, 274, 290, 291, 360, 618, 619], "mb": [7, 40, 42, 45, 813], "01": [7, 21, 22, 24, 42, 48, 52, 53, 54, 57, 75, 76, 77, 80, 84, 133, 260, 278, 279, 306, 312, 337, 344, 362, 368, 389, 399, 400, 537, 579, 580, 602, 603, 608, 616, 619, 621, 622, 624, 627, 630, 660, 671, 703, 704, 727, 728, 763, 810, 839], "109": [7, 40, 57, 624, 661], "634575": 7, "620k": 7, "jpeg": [7, 41, 42], "619": 7, "70k": 7, "113": 7, "resnet34_weight": 7, "torch_resnet_34": 7, "conv1": 7, "kernel_s": [7, 24, 26, 27, 42, 52, 75, 368, 386, 387, 388, 407, 414, 779, 785], "stride": [7, 52, 56, 75, 76, 79, 97, 368, 371, 386, 387, 388, 404, 405, 406, 407, 409, 410, 414, 449, 621, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779, 825, 830, 855], "bia": [7, 52, 56, 75, 79, 83, 374, 380, 494, 510, 560, 621, 623, 629, 636, 637, 638, 639, 640, 641, 642, 643, 644, 647, 648, 649, 724, 779, 822, 829, 834, 838], "bn1": 7, "ep": [7, 52, 57, 60, 75, 80, 83, 160, 294, 360, 369, 370, 374, 422, 446, 489, 490, 491, 617, 624, 629, 667, 670, 724, 775, 782], "05": [7, 9, 42, 48, 51, 52, 54, 60, 74, 75, 77, 83, 133, 260, 312, 328, 337, 344, 362, 365, 374, 489, 490, 491, 548, 570, 592, 602, 603, 608, 616, 619, 621, 622, 624, 629, 665, 724, 758, 763, 778, 782, 827, 829], "momentum": [7, 40, 52, 75, 374, 489, 491, 782, 845], "affin": [7, 782], "track_running_stat": [7, 782], "dilat": [7, 44, 52, 56, 75, 79, 368, 371, 404, 405, 406, 409, 410, 414, 473, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779], "ceil_mod": [7, 52, 75, 368, 386, 387, 388, 404, 405, 406, 409, 779], "layer1": 7, "basicblock": 7, "conv2": 7, "bn2": 7, "layer2": 7, "downsampl": [7, 52, 75, 403], "layer3": 7, "layer4": 7, "output_s": [7, 52, 75, 368, 382, 383, 384, 623, 651, 779, 799, 849], "fc": [7, 13, 40, 799, 838, 849], "in_featur": [7, 56, 79, 623, 647, 829], "out_featur": [7, 56, 79, 623, 647, 829], "resnet_34": 7, "ivy_resnet_34": 7, "34": [7, 9, 38, 40, 74, 75, 76, 84, 163, 233, 260, 281, 368, 380, 410, 517, 533, 534, 617, 619, 621, 623, 624, 630, 647, 666, 727, 728, 815], "333f7ec4": 7, "pth": 7, "root": [7, 8, 21, 22, 23, 24, 40, 41, 42, 45, 51, 74, 282, 619, 801, 804, 805, 806, 811, 819, 826, 837], "cach": [7, 8, 21, 22, 23, 24, 40, 42, 45, 190, 527, 618, 621, 788, 820, 822, 825, 829], "83": [7, 9, 38, 57, 79, 84, 282, 368, 380, 389, 399, 410, 511, 529, 619, 621, 623, 624, 647, 661, 727], "3m": 7, "56": [7, 9, 38, 40, 51, 52, 56, 61, 74, 75, 79, 133, 268, 282, 285, 288, 368, 389, 399, 602, 616, 619, 622, 623, 624, 628, 634, 638, 640, 642, 644, 647, 669, 705, 727, 746, 816], "4mb": 7, "preserv": [7, 8, 21, 22, 23, 24, 52, 53, 54, 69, 75, 76, 77, 98, 368, 369, 371, 380, 403, 435, 451, 452, 453, 464, 465, 484, 517, 550, 611, 621, 622, 626, 690, 763, 828, 829, 839, 840, 849], "multipl": [7, 8, 17, 21, 22, 23, 24, 26, 51, 52, 57, 60, 65, 66, 69, 74, 75, 76, 77, 80, 82, 83, 88, 89, 129, 229, 253, 260, 266, 267, 268, 270, 329, 330, 365, 368, 369, 371, 374, 378, 389, 396, 399, 401, 433, 459, 468, 487, 494, 503, 522, 529, 560, 602, 603, 606, 608, 609, 610, 611, 616, 619, 621, 622, 623, 624, 626, 629, 631, 634, 635, 638, 639, 640, 641, 653, 662, 664, 665, 678, 686, 689, 694, 695, 724, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 793, 799, 804, 806, 809, 810, 812, 816, 818, 820, 822, 825, 826, 827, 829, 832, 834, 840, 846, 848, 853, 854, 855, 862], "machin": [7, 8, 21, 22, 23, 24, 29, 30, 38, 44, 52, 57, 75, 80, 160, 163, 369, 422, 617, 624, 667, 670, 799, 805, 808, 822, 842, 845, 853, 855, 857, 858, 859, 860, 861], "rel": [7, 8, 21, 22, 23, 24, 52, 54, 57, 59, 64, 71, 75, 77, 80, 82, 87, 97, 131, 328, 344, 365, 370, 380, 445, 446, 510, 603, 606, 608, 609, 610, 622, 624, 626, 633, 657, 667, 670, 678, 690, 694, 740, 743, 758, 760, 806, 813, 827, 832, 855, 857], "project": [7, 8, 15, 20, 21, 22, 23, 24, 26, 27, 30, 93, 623, 649, 779, 799, 801, 804, 805, 806, 809, 810, 811, 829, 838, 840, 844, 845, 846, 849, 851, 853, 855, 858, 862], "consist": [7, 8, 9, 21, 22, 23, 24, 26, 27, 65, 69, 235, 242, 268, 368, 369, 411, 421, 619, 624, 634, 658, 659, 746, 780, 781, 808, 809, 813, 814, 820, 825, 834, 844, 856], "ad": [7, 8, 9, 21, 22, 23, 24, 52, 59, 75, 82, 90, 235, 268, 328, 344, 365, 374, 489, 490, 491, 579, 580, 619, 621, 623, 624, 626, 649, 659, 660, 689, 779, 784, 799, 802, 803, 804, 805, 806, 808, 809, 811, 812, 813, 814, 816, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 838, 840, 845, 848, 854, 855], "home": [7, 8, 21, 22, 23, 24, 813], "workspac": [7, 8, 21, 22, 23, 24, 805, 819], "95": [7, 9, 38, 52, 54, 57, 61, 68, 77, 79, 84, 105, 353, 365, 410, 602, 606, 610, 613, 622, 624, 630, 661, 727, 728], "builtin": [7, 805, 836, 838], "callabl": [7, 44, 52, 53, 67, 75, 76, 79, 90, 117, 118, 120, 161, 162, 194, 195, 208, 356, 358, 359, 366, 367, 368, 371, 410, 413, 415, 450, 473, 523, 527, 532, 534, 538, 539, 560, 588, 601, 605, 607, 612, 615, 617, 618, 621, 622, 627, 628, 702, 703, 704, 711, 712, 713, 715, 716, 717, 718, 758, 761, 771, 783, 794, 812, 818, 824, 826, 834, 847, 848, 849, 850], "track": [7, 17, 26, 27, 39, 40, 545, 621, 805, 806, 808, 824, 825, 848, 855], "properli": [7, 805, 807, 818, 820, 826, 829], "might": [7, 32, 53, 93, 174, 532, 617, 621, 802, 804, 805, 806, 813, 814, 816, 819, 820, 823, 826, 829, 830, 832, 834, 836, 837, 842], "_trace_graph": 7, "comparison": [7, 52, 75, 236, 271, 331, 365, 370, 445, 446, 619, 624, 675, 758, 818], "shown": [7, 24, 26, 67, 69, 90, 252, 275, 332, 365, 619, 804, 805, 806, 808, 811, 813, 814, 816, 818, 820, 821, 826, 827, 829, 830, 831, 834, 836, 840], "8507": 7, "1351": 7, "0069": 7, "85072625": 7, "13506091": 7, "00688289": 7, "resnet50_weight": 7, "torch_resnet_50": 7, "imagenet1k_v2": 7, "11ad3fa6": 7, "97": [7, 9, 38, 52, 54, 74, 77, 84, 221, 353, 365, 606, 619, 622, 727], "8m": 7, "8mb": 7, "bottleneck": [7, 844], "conv3": 7, "bn3": 7, "2048": [7, 580, 621], "resnet_50": 7, "ivy_resnet_50": 7, "3429": 7, "0408": 7, "0121": 7, "34288204": 7, "04077014": 7, "01212029": 7, "depend": [8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 31, 48, 49, 52, 53, 57, 63, 64, 72, 75, 80, 87, 88, 118, 124, 147, 215, 216, 217, 220, 221, 222, 223, 232, 233, 235, 238, 240, 256, 257, 258, 259, 268, 270, 273, 280, 281, 285, 286, 352, 365, 368, 369, 413, 421, 437, 582, 615, 616, 617, 619, 621, 624, 631, 633, 658, 659, 671, 672, 673, 674, 735, 740, 743, 753, 799, 801, 802, 804, 805, 806, 811, 814, 815, 817, 819, 823, 825, 826, 827, 828, 829, 832, 834, 840, 841, 845, 848, 853, 855, 856], "yet": [8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 42, 361, 363, 364, 372, 373, 377, 804, 805, 819, 840, 841, 848, 849, 850], "doc": [8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 27, 41, 42, 75, 142, 322, 329, 330, 362, 365, 512, 616, 799, 800, 803, 804, 807, 816, 817, 820, 821, 829, 834, 837, 838, 848, 849, 850], "user": [8, 15, 21, 22, 23, 24, 26, 41, 42, 44, 269, 286, 371, 473, 568, 619, 621, 779, 780, 781, 792, 799, 805, 806, 807, 809, 810, 812, 813, 814, 815, 818, 823, 824, 825, 826, 829, 831, 832, 833, 834, 840, 841, 844, 845, 853, 855, 861, 862], "broken": [8, 21, 22, 23, 24, 851, 855], "permiss": [8, 21, 22, 23, 24, 805, 813], "conflict": [8, 21, 22, 23, 24, 32, 805, 806, 813, 826, 837], "behaviour": [8, 21, 22, 23, 24, 107, 110, 269, 613, 619, 803, 806, 807, 808, 809, 812, 814, 815, 817, 818, 821, 822, 823, 825, 826, 829, 830, 836], "system": [8, 21, 22, 23, 24, 42, 369, 436, 624, 673, 763, 799, 805, 806, 810, 813, 814, 840, 849, 853, 855, 858, 860, 862], "manag": [8, 17, 21, 22, 23, 24, 26, 568, 591, 621, 799, 800, 810, 814, 815, 825, 828, 840, 846, 857, 859], "recommend": [8, 21, 22, 23, 24, 263, 264, 277, 370, 443, 619, 634, 748, 751, 801, 805, 810, 811, 820, 823, 824, 848], "virtual": [8, 21, 22, 23, 24, 806, 826, 845, 858, 859], "instead": [8, 11, 13, 17, 21, 22, 23, 24, 26, 33, 40, 45, 51, 52, 57, 74, 75, 80, 93, 189, 277, 310, 362, 368, 380, 404, 405, 406, 510, 513, 618, 619, 624, 667, 763, 804, 805, 806, 808, 811, 813, 814, 816, 817, 818, 821, 822, 823, 825, 826, 827, 829, 832, 834, 836, 837, 840, 848, 849, 850, 853, 855, 861, 862], "pypa": [8, 21, 22, 23, 24], "io": [8, 21, 22, 23, 24, 41, 44, 805, 813], "venv": [8, 21, 22, 23, 24], "autofeatureextractor": [8, 26], "extractor": [8, 11, 13, 26, 42, 799], "hug": [8, 26, 848], "face": [8, 26, 800, 805, 808, 819, 820, 824, 832, 834, 848, 855, 861], "arch_nam": [8, 26], "microsoft": [8, 26, 845, 848, 849, 855, 860, 862], "50": [8, 9, 26, 27, 38, 42, 52, 65, 74, 75, 76, 234, 274, 350, 365, 368, 369, 371, 396, 420, 428, 478, 535, 541, 548, 549, 565, 579, 619, 621, 624, 628, 631, 634, 662, 669, 680, 706, 708, 734, 746, 763, 766, 824, 836, 848, 849], "feature_extractor": [8, 26], "23": [8, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 57, 61, 71, 74, 75, 76, 79, 84, 131, 230, 233, 250, 251, 252, 275, 277, 278, 279, 281, 288, 332, 333, 365, 368, 371, 380, 386, 387, 389, 399, 404, 405, 406, 410, 414, 456, 511, 517, 616, 619, 623, 624, 628, 631, 642, 644, 657, 661, 665, 673, 675, 676, 706, 713, 717, 726, 727, 728, 735, 799, 813, 829, 834], "980130": 8, "e": [8, 26, 43, 44, 48, 52, 57, 61, 63, 64, 65, 67, 74, 75, 80, 84, 87, 88, 90, 92, 93, 97, 124, 133, 134, 137, 138, 142, 146, 175, 188, 215, 216, 217, 221, 223, 224, 227, 229, 231, 235, 236, 238, 241, 242, 248, 249, 256, 257, 258, 259, 266, 267, 268, 269, 271, 275, 277, 278, 281, 282, 286, 295, 322, 329, 330, 362, 365, 368, 369, 370, 371, 375, 380, 381, 386, 387, 390, 404, 405, 406, 407, 411, 424, 427, 433, 446, 481, 496, 497, 498, 499, 500, 511, 512, 521, 614, 616, 617, 618, 619, 623, 624, 626, 628, 630, 632, 633, 634, 649, 654, 659, 660, 664, 665, 667, 670, 673, 674, 675, 678, 681, 689, 697, 708, 712, 713, 714, 717, 722, 723, 726, 727, 728, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 779, 792, 793, 799, 800, 802, 804, 805, 806, 807, 808, 810, 812, 814, 818, 819, 824, 826, 829, 834, 837, 840, 841, 842, 845, 846, 848, 851], "tensorflow": [8, 10, 11, 15, 17, 18, 21, 22, 23, 24, 26, 27, 28, 31, 32, 33, 38, 44, 51, 52, 53, 74, 75, 142, 189, 219, 322, 362, 369, 422, 582, 616, 618, 621, 758, 771, 788, 799, 802, 803, 804, 805, 806, 808, 813, 814, 815, 819, 821, 825, 826, 827, 829, 830, 832, 834, 839, 840, 842, 845, 846, 849, 850, 853, 856, 858, 859, 861, 862], "xla": [8, 826, 840, 842, 855], "stream_executor": 8, "cuda_dnn": 8, "cc": [8, 21, 22, 24, 41, 819], "9342": 8, "unabl": [8, 806, 832], "regist": [8, 781, 806, 841, 848], "cudnn": 8, "factori": [8, 52, 370, 445, 446, 793], "attempt": [8, 21, 22, 23, 24, 40, 42, 45, 805, 831, 840], "plugin": [8, 805], "been": [8, 11, 13, 21, 23, 26, 27, 52, 53, 61, 75, 76, 84, 191, 278, 371, 480, 533, 534, 535, 618, 619, 621, 630, 725, 792, 793, 804, 806, 808, 810, 812, 813, 814, 815, 817, 818, 821, 822, 825, 829, 834, 836, 840, 841, 848, 855, 862], "980177": 8, "cuda_fft": 8, "609": 8, "cufft": 8, "980207": 8, "cuda_bla": 8, "1518": 8, "cubla": 8, "351203": 8, "tf2tensorrt": 8, "py_util": 8, "38": [8, 9, 22, 38, 40, 42, 45, 49, 52, 74, 75, 84, 160, 285, 350, 365, 368, 380, 387, 406, 409, 410, 511, 617, 619, 624, 666, 763, 816], "trt": 8, "could": [8, 26, 27, 32, 63, 632, 736, 737, 738, 739, 804, 805, 806, 808, 813, 814, 816, 823, 825, 826, 827, 829, 834, 836, 837, 838, 845, 846, 855, 860, 861], "find": [8, 15, 41, 42, 45, 57, 63, 69, 80, 624, 628, 632, 667, 707, 736, 737, 738, 739, 792, 793, 799, 800, 801, 803, 804, 805, 806, 808, 811, 813, 819, 824, 829, 832, 834, 837, 841, 842, 844, 848], "tensorrt": 8, "doe": [8, 9, 17, 21, 22, 23, 24, 26, 39, 41, 51, 52, 53, 59, 69, 74, 75, 82, 92, 142, 269, 271, 279, 322, 362, 369, 370, 380, 381, 421, 445, 446, 516, 517, 521, 550, 616, 619, 621, 624, 626, 658, 695, 758, 793, 802, 804, 806, 807, 810, 813, 814, 816, 817, 819, 820, 821, 822, 825, 826, 827, 829, 832, 834, 836, 837, 840, 842, 845, 848, 851, 855, 856, 862], "placement": [8, 804], "consid": [8, 9, 21, 22, 23, 24, 31, 32, 52, 57, 63, 75, 80, 113, 142, 263, 264, 322, 328, 333, 344, 362, 365, 369, 380, 422, 426, 435, 510, 613, 616, 619, 624, 632, 656, 667, 736, 737, 738, 739, 765, 778, 809, 813, 814, 822, 824, 830, 832, 835, 836, 837, 844, 845, 848, 852, 856, 860, 862], "except": [8, 21, 22, 23, 24, 41, 42, 45, 52, 53, 59, 61, 66, 69, 75, 76, 80, 84, 89, 149, 329, 330, 335, 353, 365, 371, 375, 380, 457, 481, 497, 516, 517, 532, 550, 567, 582, 588, 617, 621, 624, 626, 630, 631, 635, 670, 687, 689, 697, 726, 727, 728, 734, 754, 755, 758, 761, 765, 799, 806, 807, 808, 809, 813, 814, 815, 817, 819, 821, 825, 826, 830, 831, 832, 836, 840], "390": [8, 21, 22, 23, 24], "current": [8, 17, 21, 22, 23, 24, 26, 27, 40, 41, 47, 52, 53, 69, 75, 98, 117, 161, 162, 165, 182, 183, 184, 185, 186, 187, 193, 194, 195, 196, 201, 203, 369, 371, 420, 421, 473, 481, 538, 539, 542, 545, 547, 551, 562, 563, 582, 615, 617, 618, 621, 624, 628, 658, 705, 715, 716, 760, 764, 780, 781, 788, 789, 793, 796, 799, 801, 804, 805, 806, 808, 810, 812, 813, 814, 815, 818, 819, 820, 822, 825, 826, 827, 828, 829, 832, 834, 839, 840, 846, 848, 855, 861, 862], "quietli": [8, 21, 22, 23, 24], "control": [8, 21, 22, 23, 24, 34, 52, 75, 142, 291, 322, 360, 362, 368, 371, 391, 392, 393, 456, 482, 568, 616, 621, 624, 656, 812, 814, 815, 824, 825, 826, 827, 832, 836, 837, 842, 848, 855, 861], "set_inplace_mod": [8, 21, 22, 23, 24, 591, 621], "strict": [8, 21, 22, 23, 24, 568, 591, 621], "rais": [8, 21, 22, 23, 24, 41, 42, 48, 52, 53, 61, 63, 66, 69, 71, 75, 76, 82, 84, 86, 89, 123, 149, 238, 273, 329, 330, 339, 365, 368, 370, 371, 375, 380, 401, 412, 446, 451, 452, 459, 461, 463, 464, 465, 472, 481, 487, 497, 516, 517, 526, 550, 568, 570, 580, 582, 588, 592, 617, 619, 621, 624, 626, 630, 631, 632, 634, 635, 664, 666, 680, 689, 690, 691, 693, 695, 696, 697, 698, 700, 726, 727, 728, 734, 739, 747, 749, 754, 755, 758, 765, 783, 799, 806, 808, 810, 814, 815, 818, 825, 826, 830, 831, 834, 836, 841, 845], "error": [8, 9, 21, 22, 23, 24, 32, 43, 45, 51, 52, 56, 69, 74, 75, 79, 105, 237, 285, 329, 330, 337, 365, 369, 370, 371, 380, 381, 435, 441, 442, 444, 481, 517, 521, 568, 613, 619, 621, 623, 624, 634, 652, 672, 675, 747, 749, 765, 783, 796, 800, 803, 804, 805, 806, 808, 809, 810, 813, 814, 815, 816, 820, 821, 826, 829, 830, 831, 836, 840, 846, 855], "whenev": [8, 21, 22, 23, 24, 779, 806, 810, 813, 814, 818, 825, 828, 829, 831, 837], "inputs_jax": [8, 26], "last_hidden_st": [8, 26], "jax_forward": [8, 26], "jit_appli": 8, "63": [8, 9, 38, 42, 51, 68, 74, 79, 80, 113, 274, 281, 282, 368, 380, 389, 399, 410, 511, 619, 624, 628, 634, 653, 669, 706, 717, 746], "122": [8, 49, 163, 233, 619], "134": [8, 56, 624, 647, 666], "2x": [8, 26], "ipytest": 9, "panda": [9, 40, 42, 845], "matplotlib": [9, 21, 22, 23, 24, 40, 41, 42, 45], "scikit": [9, 369, 437, 845], "learn": [9, 11, 13, 17, 18, 19, 20, 22, 24, 26, 27, 28, 29, 30, 31, 38, 40, 54, 77, 369, 437, 533, 603, 606, 608, 609, 610, 621, 622, 627, 702, 703, 704, 783, 799, 800, 803, 804, 805, 807, 808, 814, 819, 820, 822, 824, 833, 842, 844, 845, 853, 857, 858, 859, 860, 861, 862], "cryptographi": 9, "frontend": [9, 567, 621, 760, 761, 764, 768, 771, 799, 803, 806, 807, 813, 814, 818, 819, 824, 828, 829, 832, 833, 835, 842, 849, 855], "sklearn": 9, "classification_report": 9, "model_select": 9, "train_test_split": 9, "dataset": [9, 26, 69, 799, 837, 848, 849], "load_breast_canc": 9, "pyplot": [9, 40, 41, 42, 45], "plt": [9, 40, 41, 42, 45], "pd": [9, 42], "functool": [9, 40, 818, 826, 836], "autoconfig": 9, "tqdm": [9, 21, 22, 23, 24, 40, 42, 799], "tqdm_notebook": 9, "These": [9, 33, 52, 75, 369, 371, 380, 421, 472, 510, 623, 624, 649, 658, 659, 799, 803, 804, 805, 806, 808, 812, 814, 816, 817, 821, 822, 825, 826, 829, 834, 835, 837, 838, 839, 840, 842, 844, 845, 846, 849, 855, 859, 861, 862], "sole": [9, 38, 821, 830, 854, 855, 856], "verifi": [9, 23, 319, 320, 362, 804, 814, 815, 826, 829, 830], "re": [9, 15, 18, 19, 20, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 43, 45, 52, 53, 62, 75, 85, 95, 208, 313, 362, 369, 371, 440, 474, 475, 533, 618, 621, 624, 626, 631, 676, 694, 733, 735, 800, 801, 804, 805, 806, 807, 808, 811, 814, 819, 824, 825, 826, 827, 828, 830, 832, 836, 839, 840, 843, 844, 845, 855], "test_jax_gpu": 9, "xla_bridg": [9, 40], "get_backend": [9, 822], "test_torch_gpu": 9, "is_avail": 9, "test_xgboost_gpu": 9, "capsi": 9, "load_diabet": 9, "y": [9, 26, 27, 38, 39, 41, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 124, 127, 129, 131, 132, 133, 134, 135, 136, 137, 138, 144, 147, 148, 149, 158, 160, 163, 175, 188, 192, 196, 201, 202, 203, 207, 209, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 328, 329, 330, 336, 343, 344, 345, 346, 347, 352, 354, 356, 360, 362, 365, 368, 369, 370, 371, 374, 380, 387, 389, 391, 392, 396, 399, 401, 405, 411, 418, 422, 428, 433, 440, 442, 444, 445, 446, 447, 448, 458, 460, 469, 473, 481, 482, 483, 488, 492, 493, 495, 503, 509, 510, 511, 512, 513, 516, 518, 519, 520, 522, 525, 528, 529, 532, 533, 535, 536, 537, 540, 541, 542, 546, 548, 549, 550, 552, 553, 556, 557, 562, 569, 570, 571, 574, 577, 578, 579, 580, 582, 584, 586, 587, 588, 592, 593, 596, 599, 600, 601, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 638, 640, 642, 644, 645, 646, 647, 653, 654, 655, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 672, 674, 675, 676, 678, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 708, 711, 712, 714, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 797, 799, 810, 812, 815, 816, 824, 826, 827, 829, 830, 832, 834, 836, 848], "target": [9, 11, 13, 19, 21, 22, 24, 26, 27, 29, 30, 31, 32, 33, 42, 52, 75, 190, 370, 442, 443, 444, 445, 446, 447, 448, 618, 758, 779, 781, 787, 799, 802, 805, 807, 810, 819, 820, 827, 828, 833, 837, 838, 839, 849, 850, 851, 853, 854, 855, 858, 860, 861], "xgb_model": 9, "xgbregressor": 9, "tree_method": 9, "caus": [9, 370, 443, 805, 806, 808, 810, 812, 813, 814, 816, 825, 827, 829, 840], "either": [9, 21, 22, 31, 32, 33, 34, 38, 44, 51, 52, 53, 56, 65, 69, 74, 75, 76, 79, 80, 107, 110, 113, 118, 128, 129, 139, 215, 216, 217, 218, 223, 233, 235, 236, 238, 240, 242, 249, 250, 256, 257, 258, 259, 260, 268, 277, 279, 280, 282, 285, 286, 331, 352, 365, 368, 374, 380, 389, 399, 409, 410, 414, 494, 511, 512, 532, 552, 560, 561, 569, 588, 613, 615, 616, 619, 621, 623, 624, 627, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 664, 669, 672, 676, 702, 703, 704, 744, 745, 750, 752, 765, 779, 780, 781, 788, 801, 804, 805, 806, 810, 811, 812, 814, 815, 816, 817, 818, 820, 822, 825, 826, 827, 828, 829, 832, 834, 837, 840, 841, 849, 855], "fit": [9, 59, 82, 626, 692, 804, 826, 834, 851, 852, 855], "consol": [9, 563, 621, 799, 806, 820, 829, 836, 841], "gpu_hist": 9, "captur": [9, 824, 829, 839, 856], "readouterr": 9, "err": 9, "99": [9, 38, 51, 52, 54, 72, 74, 84, 130, 217, 232, 353, 365, 579, 606, 616, 619, 621, 622, 628, 634, 709, 717, 727, 746], "implement": [9, 17, 18, 26, 28, 32, 40, 43, 49, 50, 52, 63, 64, 72, 73, 75, 80, 87, 92, 147, 161, 162, 175, 194, 195, 209, 215, 216, 217, 220, 221, 222, 223, 232, 233, 235, 238, 240, 242, 256, 257, 258, 259, 268, 270, 273, 277, 280, 281, 285, 286, 329, 330, 352, 365, 369, 380, 420, 421, 516, 517, 538, 539, 617, 618, 619, 621, 623, 624, 632, 633, 634, 649, 658, 659, 660, 669, 678, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 764, 766, 788, 799, 802, 804, 807, 808, 809, 810, 812, 814, 815, 817, 818, 819, 821, 822, 823, 825, 827, 829, 830, 832, 834, 836, 837, 838, 839, 840, 842, 852, 853, 854, 855, 858, 861, 862], "binari": [9, 21, 22, 24, 52, 53, 56, 58, 75, 79, 81, 225, 228, 230, 265, 285, 368, 370, 413, 445, 448, 619, 623, 625, 646, 649, 683], "tabular": 9, "pulsar": 9, "emploi": [9, 861], "remov": [9, 15, 16, 19, 24, 26, 27, 29, 57, 69, 80, 624, 626, 627, 628, 657, 664, 678, 696, 702, 703, 719, 793, 796, 799, 804, 810, 811, 813, 814, 817, 822, 828, 829, 832, 839, 848, 849, 855], "id": [9, 41, 52, 75, 191, 324, 325, 326, 362, 545, 618, 621, 799, 803, 805, 809, 811, 812, 820, 824, 829, 841], "column": [9, 42, 52, 57, 75, 80, 92, 93, 127, 142, 322, 362, 369, 371, 378, 380, 421, 427, 437, 457, 462, 464, 465, 469, 471, 503, 509, 510, 616, 624, 658, 659, 665, 671, 673, 674, 679, 763, 778], "well": [9, 26, 27, 40, 41, 42, 76, 370, 445, 546, 621, 624, 673, 765, 799, 801, 804, 806, 811, 813, 814, 818, 825, 826, 827, 829, 838, 839, 849, 854, 855, 856, 860], "standard": [9, 51, 57, 60, 61, 65, 74, 83, 84, 88, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 369, 371, 380, 411, 439, 481, 510, 601, 616, 617, 619, 621, 624, 626, 629, 630, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 724, 727, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 765, 778, 782, 792, 793, 799, 804, 807, 808, 809, 812, 814, 817, 821, 825, 828, 829, 830, 840, 843, 849, 851, 853, 854, 857, 858, 860], "while": [9, 26, 27, 34, 52, 56, 69, 75, 79, 92, 93, 98, 120, 136, 174, 242, 243, 263, 264, 340, 365, 368, 369, 371, 412, 413, 433, 475, 476, 509, 615, 616, 617, 619, 623, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 736, 748, 751, 761, 802, 804, 805, 806, 809, 810, 811, 813, 814, 815, 816, 819, 820, 821, 822, 824, 825, 826, 827, 828, 829, 830, 832, 836, 838, 839, 840, 841, 844, 845, 848, 855, 861, 862], "extra": [9, 27, 69, 98, 117, 601, 615, 621, 809, 814, 816, 823, 825, 826, 827, 832, 834, 848, 849, 852, 857], "dimens": [9, 48, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 69, 71, 75, 76, 79, 80, 81, 82, 84, 85, 86, 88, 89, 95, 97, 98, 101, 108, 112, 136, 140, 141, 310, 321, 323, 324, 325, 326, 329, 330, 334, 335, 342, 349, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 382, 384, 386, 387, 388, 390, 395, 396, 400, 404, 405, 406, 407, 410, 411, 413, 414, 416, 418, 421, 437, 445, 451, 452, 453, 457, 463, 474, 475, 476, 477, 479, 481, 489, 490, 491, 494, 498, 500, 503, 513, 515, 516, 517, 518, 519, 520, 533, 534, 535, 537, 544, 578, 581, 601, 613, 616, 621, 623, 624, 625, 626, 627, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 648, 649, 653, 654, 655, 657, 658, 659, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 681, 684, 685, 687, 689, 690, 691, 692, 693, 694, 695, 696, 697, 700, 702, 703, 704, 730, 731, 732, 734, 736, 737, 738, 739, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 775, 779, 782, 816, 818, 824, 826, 827, 829, 832, 834, 837], "label": [9, 40, 41, 42, 52, 58, 75, 81, 370, 442, 444, 445, 446, 447, 448, 625, 683, 684, 685, 799, 804, 808, 826, 833, 834, 835, 839, 841, 855], "load_data": 9, "standardscal": 9, "df": [9, 42], "read_csv": [9, 42], "delimit": [9, 837], "drop": [9, 42, 52, 75, 325, 362, 370, 371, 445, 482, 778, 779, 805, 840], "sc": 9, "fit_transform": 9, "prepare_data": 9, "tupl": [9, 44, 47, 48, 49, 51, 52, 53, 56, 57, 59, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 95, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 117, 122, 123, 129, 131, 135, 136, 138, 142, 144, 148, 149, 150, 161, 162, 163, 167, 168, 174, 175, 181, 191, 194, 195, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 310, 315, 319, 322, 328, 329, 330, 331, 332, 334, 335, 336, 338, 339, 341, 342, 343, 344, 348, 349, 350, 351, 352, 354, 355, 356, 357, 362, 365, 367, 368, 369, 371, 374, 375, 376, 378, 380, 386, 387, 388, 390, 391, 392, 393, 395, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 421, 422, 426, 430, 435, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 457, 458, 468, 473, 479, 481, 482, 483, 486, 489, 491, 492, 493, 494, 495, 497, 498, 500, 501, 502, 510, 511, 512, 513, 515, 516, 517, 518, 519, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 569, 579, 580, 581, 582, 584, 585, 586, 587, 600, 601, 602, 603, 604, 606, 608, 611, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 652, 653, 654, 658, 659, 660, 661, 662, 663, 664, 665, 667, 669, 670, 671, 672, 674, 676, 677, 678, 681, 683, 684, 685, 686, 687, 688, 690, 691, 693, 694, 695, 696, 697, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 712, 713, 714, 716, 717, 720, 721, 722, 723, 725, 726, 727, 728, 730, 733, 734, 736, 737, 738, 739, 740, 741, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 778, 779, 781, 792, 793, 809, 814, 821, 822, 825, 827, 829, 834, 837, 838, 840, 848, 849, 850], "expand_dim": [9, 23, 26, 27, 42, 44, 59, 82, 623, 626, 645, 799, 826, 834, 837, 849], "astyp": [9, 11, 13, 18, 40, 41, 42, 49, 56, 72, 79, 617, 623, 639, 641, 642, 645, 799, 814, 825, 826, 832, 850], "csv": [9, 42, 799], "instanc": [9, 17, 23, 26, 27, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 160, 163, 166, 167, 168, 170, 175, 192, 204, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 404, 405, 406, 410, 411, 413, 414, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 575, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 771, 776, 804, 805, 806, 808, 809, 810, 814, 816, 817, 818, 819, 821, 822, 823, 824, 825, 829, 837, 838, 839, 842, 848, 856], "117564": 9, "variou": [9, 20, 30, 32, 38, 799, 804, 805, 806, 808, 813, 814, 817, 818, 821, 823, 824, 826, 827, 828, 829, 841, 851, 853, 854, 855, 858, 861], "structur": [9, 27, 69, 72, 98, 160, 163, 530, 621, 628, 709, 718, 799, 804, 806, 809, 812, 822, 827, 828, 829, 830, 837, 838, 854, 855], "allow": [9, 24, 26, 27, 38, 52, 65, 75, 88, 132, 273, 369, 380, 438, 513, 517, 560, 616, 619, 621, 633, 634, 742, 749, 763, 764, 765, 766, 780, 781, 793, 797, 799, 804, 806, 809, 810, 813, 814, 818, 820, 822, 823, 824, 825, 826, 827, 829, 832, 834, 836, 840, 842, 845, 848, 849, 850, 853, 855, 859, 860], "navig": [9, 802, 805, 806, 807, 819], "choic": [9, 27, 44, 52, 65, 75, 88, 369, 371, 437, 456, 634, 751, 753, 799, 805, 813, 825, 826, 837, 846, 849, 855, 862], "rerun": [9, 40], "most": [9, 17, 26, 27, 69, 71, 92, 95, 136, 369, 421, 573, 595, 616, 621, 624, 658, 659, 796, 799, 803, 804, 805, 809, 812, 813, 814, 815, 819, 821, 822, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 840, 845, 855, 856, 858, 859, 861, 862], "method": [9, 17, 26, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 147, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 369, 370, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 530, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 622, 624, 625, 628, 631, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 672, 674, 675, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 716, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 771, 777, 778, 779, 780, 781, 804, 806, 808, 809, 813, 814, 815, 816, 817, 821, 829, 830, 834, 835, 838, 839, 840, 848, 849, 850, 856, 862], "signific": [9, 52, 370, 446, 831, 840, 844, 845, 855], "object": [9, 17, 22, 24, 26, 40, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 98, 101, 102, 124, 128, 129, 139, 151, 160, 163, 171, 174, 209, 267, 497, 545, 561, 604, 616, 617, 618, 621, 622, 628, 630, 708, 709, 710, 712, 713, 714, 720, 721, 722, 723, 730, 758, 760, 761, 768, 769, 770, 776, 777, 779, 780, 781, 788, 792, 799, 809, 810, 812, 813, 822, 823, 826, 827, 829, 832, 836, 839, 847, 848, 849, 850, 855, 861], "logist": 9, "booster": 9, "gblinear": 9, "n_estim": 9, "learning_r": 9, "reg_lambda": 9, "reg_alpha": 9, "base_margin": 9, "xgb_cl": 9, "ivy_cl": 9, "n": [9, 38, 41, 42, 43, 45, 48, 51, 52, 56, 57, 59, 61, 62, 65, 66, 74, 75, 79, 80, 82, 84, 85, 88, 89, 92, 97, 134, 140, 141, 142, 215, 285, 287, 322, 323, 335, 362, 365, 368, 369, 371, 374, 375, 378, 380, 382, 383, 384, 389, 390, 395, 396, 399, 400, 401, 409, 410, 411, 412, 414, 422, 423, 432, 434, 436, 441, 453, 459, 462, 466, 468, 479, 487, 489, 490, 491, 494, 496, 497, 498, 499, 500, 503, 510, 520, 616, 619, 623, 624, 626, 628, 630, 631, 634, 635, 636, 637, 638, 639, 641, 643, 645, 649, 654, 657, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 678, 679, 680, 681, 688, 689, 691, 697, 701, 713, 726, 727, 728, 734, 748, 750, 751, 752, 753, 754, 755, 779, 782, 792, 799, 807, 811, 813, 829, 841, 849], "436": 9, "48": [9, 38, 42, 51, 52, 74, 75, 76, 77, 84, 107, 217, 240, 282, 368, 387, 388, 389, 399, 405, 406, 409, 548, 602, 606, 613, 619, 621, 622, 624, 628, 634, 669, 706, 727, 746], "wai": [9, 15, 16, 17, 20, 22, 26, 30, 32, 38, 92, 95, 799, 801, 803, 805, 808, 809, 810, 811, 813, 814, 815, 825, 826, 827, 829, 832, 836, 837, 838, 839, 840, 841, 844, 845, 850, 857, 861, 862], "t4": 9, "higher": [9, 52, 75, 369, 371, 380, 425, 435, 441, 451, 452, 453, 520, 778, 814, 825, 833, 834, 839, 840, 852, 855, 856, 859, 861, 862], "tier": 9, "than": [9, 26, 27, 29, 32, 51, 52, 53, 56, 57, 59, 61, 62, 63, 65, 69, 74, 75, 76, 79, 80, 82, 84, 85, 86, 88, 97, 98, 121, 129, 160, 208, 216, 217, 220, 221, 223, 224, 227, 229, 231, 235, 241, 242, 256, 257, 258, 259, 266, 268, 273, 277, 279, 281, 282, 286, 287, 288, 296, 306, 328, 331, 344, 351, 362, 365, 368, 369, 371, 380, 389, 390, 395, 396, 399, 400, 401, 411, 412, 416, 418, 435, 441, 464, 465, 511, 512, 513, 552, 553, 556, 573, 595, 616, 617, 618, 619, 621, 623, 624, 626, 630, 631, 632, 634, 652, 654, 664, 665, 666, 667, 670, 681, 686, 690, 696, 728, 734, 737, 738, 739, 744, 745, 750, 751, 752, 753, 779, 793, 802, 806, 808, 812, 813, 814, 816, 818, 819, 825, 826, 827, 829, 830, 831, 832, 834, 837, 838, 839, 840, 841, 845, 852, 853, 854, 855, 861, 862], "reduc": [9, 52, 53, 57, 62, 65, 66, 69, 75, 76, 80, 85, 88, 89, 208, 329, 330, 349, 365, 366, 380, 515, 516, 517, 518, 519, 520, 534, 618, 621, 624, 631, 634, 635, 671, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 792, 793, 813, 818, 826, 832, 834, 836, 848, 853, 857, 858, 859], "lower": [9, 42, 48, 51, 52, 57, 61, 74, 75, 80, 84, 127, 140, 266, 301, 307, 313, 322, 323, 360, 362, 380, 513, 514, 520, 616, 619, 624, 630, 653, 659, 660, 667, 728, 765, 778, 799, 806, 814, 816, 826, 829, 834, 840, 842, 851, 852, 853, 855, 856, 861, 862], "although": [9, 624, 672, 799, 801, 809, 811, 812, 826, 832, 853, 855], "experi": [9, 15, 42, 805, 818, 829, 835, 837, 840], "demonstr": [9, 23, 26, 27, 41, 814, 816, 818, 836], "still": [9, 20, 22, 23, 26, 27, 29, 30, 33, 57, 69, 80, 624, 674, 763, 804, 805, 806, 809, 810, 814, 817, 818, 820, 822, 825, 826, 829, 832, 838, 840, 845, 848, 849, 852, 855, 861], "substanti": [9, 806, 809, 814, 829, 845, 855], "dive": [9, 15, 17, 26, 38, 800, 801, 803, 804, 806, 808, 812, 814, 820, 827, 833, 836, 837, 840, 861], "stuff": 9, "tool": [9, 17, 26, 27, 799, 805, 806, 816, 820, 835, 839, 840, 843, 846, 849, 853, 854, 855, 856, 858, 861, 862], "30": [9, 21, 22, 23, 24, 38, 40, 51, 52, 53, 75, 76, 84, 88, 98, 268, 298, 342, 350, 365, 368, 371, 389, 399, 410, 456, 478, 501, 533, 535, 540, 541, 548, 549, 565, 574, 579, 619, 621, 624, 628, 634, 662, 669, 714, 726, 727, 745, 746, 750, 765, 778, 793, 813], "25": [9, 38, 40, 41, 42, 51, 52, 53, 57, 58, 61, 65, 68, 74, 75, 76, 79, 80, 83, 84, 88, 97, 98, 113, 132, 218, 219, 229, 235, 237, 248, 253, 268, 273, 276, 278, 281, 282, 283, 288, 309, 362, 370, 380, 410, 442, 445, 447, 511, 520, 548, 549, 565, 579, 616, 619, 621, 624, 625, 628, 629, 634, 637, 653, 657, 662, 679, 684, 706, 713, 717, 724, 726, 727, 728, 745, 746, 748, 753, 812, 824], "22": [9, 21, 22, 23, 24, 38, 40, 42, 45, 46, 51, 52, 53, 61, 65, 68, 75, 76, 79, 84, 108, 113, 230, 238, 298, 302, 360, 368, 369, 371, 376, 380, 386, 387, 389, 404, 405, 406, 410, 414, 420, 456, 501, 511, 534, 565, 600, 613, 619, 623, 624, 628, 631, 634, 646, 647, 657, 662, 669, 673, 713, 723, 726, 727, 728, 735, 745, 746, 805, 812, 818], "201": [9, 74, 75, 220, 389, 619], "20x": 9, "24": [9, 19, 38, 40, 51, 52, 57, 65, 74, 75, 76, 79, 80, 84, 97, 230, 238, 253, 255, 268, 278, 279, 282, 342, 345, 365, 368, 380, 386, 388, 389, 399, 404, 405, 406, 410, 414, 511, 533, 534, 619, 621, 624, 628, 634, 637, 657, 665, 669, 706, 717, 726, 727, 728, 744, 746, 760, 818, 837], "ivy_pr": 9, "xgb_pred": 9, "ivyclassifi": 9, "nxgbclassifi": 9, "precis": [9, 52, 57, 75, 80, 160, 248, 268, 275, 282, 339, 365, 369, 380, 422, 510, 573, 595, 617, 619, 621, 624, 659, 660, 665, 672, 674, 675, 681, 771, 813, 826, 831, 832, 859], "recal": 9, "f1": [9, 814], "score": [9, 56, 79, 370, 448, 623, 650, 652, 799], "94": [9, 38, 51, 52, 54, 61, 74, 75, 77, 84, 202, 278, 279, 353, 365, 399, 606, 618, 622, 728], "106597": 9, "33": [9, 38, 40, 41, 51, 61, 65, 74, 75, 76, 77, 79, 221, 222, 229, 278, 368, 369, 371, 380, 387, 409, 410, 438, 456, 511, 529, 579, 606, 619, 621, 622, 623, 624, 628, 634, 646, 647, 669, 723, 726, 746, 753, 763, 766], "10967": 9, "accuraci": [9, 40, 42, 45, 368, 411, 814], "macro": 9, "avg": [9, 368, 386, 388, 409], "96": [9, 38, 52, 54, 74, 75, 76, 84, 232, 253, 285, 353, 365, 368, 389, 533, 534, 606, 619, 621, 622, 624, 634, 669, 728, 746], "67": [9, 38, 51, 52, 53, 57, 74, 75, 76, 79, 84, 97, 233, 238, 278, 279, 281, 288, 298, 302, 360, 380, 410, 511, 533, 534, 579, 605, 607, 619, 621, 622, 624, 661, 728], "73": [9, 38, 51, 80, 282, 380, 511, 624, 630, 653, 727, 829], "92": [9, 38, 42, 52, 53, 84, 353, 365, 600, 610, 622, 624, 655, 727, 728], "28": [9, 24, 26, 27, 38, 40, 42, 45, 51, 52, 56, 60, 74, 75, 76, 79, 80, 84, 88, 234, 237, 258, 274, 368, 369, 389, 399, 420, 517, 548, 602, 619, 621, 622, 623, 624, 629, 634, 638, 640, 642, 644, 645, 647, 669, 724, 726, 727, 728, 746, 750, 799], "27": [9, 38, 40, 45, 51, 52, 57, 61, 74, 75, 79, 80, 84, 88, 229, 230, 233, 273, 281, 282, 339, 365, 368, 389, 399, 549, 619, 621, 624, 628, 634, 664, 669, 679, 706, 713, 727, 746, 750, 763], "852": [9, 623, 647], "449": [9, 529, 621], "47": [9, 38, 42, 51, 52, 57, 61, 74, 75, 76, 77, 79, 84, 224, 282, 368, 380, 387, 405, 406, 511, 533, 534, 606, 619, 621, 622, 623, 624, 630, 647, 661, 727, 728], "29": [9, 38, 40, 42, 45, 57, 74, 76, 77, 79, 84, 223, 380, 410, 511, 533, 534, 604, 608, 619, 621, 622, 624, 661, 726, 727, 728], "82": [9, 38, 40, 45, 46, 51, 77, 84, 108, 221, 380, 511, 602, 622, 727, 728, 802, 819], "68": [9, 38, 42, 45, 51, 84, 108, 130, 223, 368, 389, 399, 613, 616, 619, 624, 629, 680, 724, 727, 728], "nevertheless": 9, "fall": [9, 40, 783, 804, 814, 833], "short": [9, 38, 52, 75, 415, 623, 648, 804, 806, 814, 834, 838], "blaze": 9, "31": [9, 21, 22, 23, 24, 38, 40, 41, 45, 46, 51, 52, 74, 75, 76, 79, 84, 108, 113, 133, 229, 260, 268, 368, 371, 380, 388, 389, 456, 511, 528, 613, 616, 619, 621, 727, 728, 837], "32": [9, 24, 26, 27, 38, 40, 41, 42, 51, 52, 61, 74, 75, 79, 80, 84, 97, 98, 107, 159, 217, 229, 230, 239, 253, 259, 275, 278, 279, 332, 365, 368, 369, 371, 380, 387, 388, 389, 399, 409, 410, 420, 424, 456, 511, 533, 549, 613, 617, 619, 621, 623, 624, 630, 631, 634, 638, 640, 641, 645, 647, 664, 669, 680, 726, 727, 728, 735, 746, 763, 766, 799, 813, 814, 824, 837, 860], "03": [9, 22, 41, 48, 51, 53, 54, 74, 75, 77, 84, 133, 233, 258, 337, 579, 580, 603, 608, 616, 619, 621, 622, 624, 625, 662, 683, 727], "62": [9, 38, 40, 46, 68, 74, 84, 108, 253, 281, 619, 629, 630, 724, 726, 728], "36": [9, 38, 42, 51, 52, 56, 65, 75, 76, 80, 223, 278, 279, 342, 365, 368, 369, 380, 389, 399, 425, 511, 533, 534, 580, 619, 621, 624, 628, 634, 647, 666, 669, 679, 716, 746], "35": [9, 38, 46, 56, 57, 68, 74, 75, 79, 80, 84, 108, 223, 282, 368, 389, 399, 619, 623, 624, 631, 634, 647, 654, 661, 727, 735, 746], "37": [9, 21, 22, 23, 24, 38, 46, 51, 52, 68, 74, 75, 79, 97, 108, 221, 229, 278, 281, 285, 376, 410, 501, 619, 623, 624, 628, 630, 647, 666, 713, 727, 813], "surpass": 9, "remark": [9, 840], "artifici": 9, "simpli": [9, 17, 26, 27, 29, 38, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 619, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 799, 804, 805, 806, 809, 810, 811, 813, 814, 815, 816, 817, 819, 821, 822, 825, 826, 827, 829, 832, 834, 838, 839, 840, 842, 856, 861], "stack": [9, 19, 21, 22, 23, 24, 29, 38, 42, 52, 57, 59, 69, 75, 80, 82, 97, 140, 141, 323, 362, 369, 371, 421, 457, 458, 460, 469, 488, 567, 576, 598, 616, 621, 624, 626, 628, 655, 657, 658, 659, 660, 662, 664, 666, 667, 668, 670, 671, 672, 674, 675, 678, 705, 715, 716, 779, 799, 803, 808, 825, 834, 851, 853, 860, 861], "x_doubl": 9, "vstack": [9, 52, 75, 371, 469], "y_doubl": 9, "explor": [9, 11, 13, 17, 21, 22, 23, 26, 27, 32, 33, 34, 804, 805, 806, 814, 819, 832, 835, 839, 855, 858], "235128": 9, "41": [9, 21, 22, 23, 24, 38, 40, 45, 51, 52, 57, 74, 75, 76, 79, 80, 108, 222, 230, 237, 268, 282, 368, 369, 376, 380, 387, 405, 410, 430, 501, 511, 528, 529, 613, 619, 621, 624, 634, 653, 661, 752], "315": [9, 274, 619], "40": [9, 38, 40, 42, 52, 53, 74, 75, 76, 84, 88, 98, 229, 233, 253, 282, 342, 365, 368, 371, 387, 389, 399, 405, 478, 533, 535, 540, 541, 565, 579, 601, 604, 619, 621, 622, 624, 628, 634, 662, 669, 714, 727, 746, 750, 799, 813], "879": 9, "65": [9, 38, 40, 42, 45, 74, 77, 84, 229, 268, 529, 548, 602, 619, 621, 622, 624, 634, 669, 727, 728, 746, 813], "380": 9, "seem": [9, 804, 805, 832, 838, 839, 840, 855], "observ": [9, 52, 75, 380, 509, 510, 806, 814, 818, 834, 848, 857], "examin": 9, "600": [9, 42, 76, 79, 368, 391, 392, 541, 813], "plot": [9, 41, 799, 855], "conduct": [9, 859], "num_boosting_round": 9, "300": [9, 74, 76, 79, 278, 368, 391, 392, 541, 565, 619, 621, 624, 662, 829], "400": [9, 76, 79, 368, 391, 392, 541, 565, 621, 624, 662], "500": [9, 52, 75, 76, 79, 368, 369, 391, 392, 441, 541, 621], "ivy_elapsed_tim": 9, "xgb_elapsed_tim": 9, "ivy_tim": 9, "partial": [9, 52, 69, 75, 161, 162, 194, 195, 342, 365, 368, 369, 371, 380, 415, 435, 474, 475, 476, 477, 517, 538, 539, 607, 617, 618, 621, 622, 624, 663, 764, 766, 780, 781, 806, 811, 832], "append": [9, 41, 42, 52, 57, 69, 75, 227, 335, 365, 619, 624, 626, 657, 664, 689, 793, 799, 813, 829, 834, 837], "xgb_time": 9, "fivethirtyeight": 9, "legend": [9, 42, 804], "loc": 9, "best": [9, 40, 560, 621, 793, 799, 800, 802, 803, 804, 805, 806, 807, 813, 814, 818, 819, 828, 829, 830, 841, 858, 859], "xlabel": 9, "ylabel": 9, "obviou": [9, 837, 855], "trend": 9, "longer": [9, 805, 814, 825, 829, 855], "gap": 9, "between": [9, 15, 16, 21, 31, 32, 33, 38, 51, 52, 53, 56, 57, 58, 59, 63, 69, 74, 75, 79, 80, 81, 82, 98, 121, 160, 223, 236, 271, 287, 328, 344, 346, 365, 368, 369, 370, 371, 380, 391, 392, 393, 404, 405, 406, 414, 420, 424, 442, 443, 444, 445, 446, 447, 448, 473, 520, 616, 617, 619, 623, 625, 626, 628, 630, 632, 646, 669, 683, 684, 685, 689, 697, 711, 726, 737, 738, 739, 764, 771, 783, 799, 809, 810, 814, 816, 821, 822, 823, 825, 826, 827, 828, 829, 832, 833, 835, 836, 837, 839, 844, 848, 849, 851, 852, 854, 855, 856, 861], "within": [9, 11, 13, 17, 26, 27, 47, 52, 75, 121, 328, 344, 365, 368, 374, 404, 405, 406, 411, 414, 451, 452, 453, 494, 616, 630, 728, 793, 804, 806, 809, 813, 814, 826, 827, 828, 829, 838, 840, 849, 851, 852, 856], "slightli": [9, 306, 362, 812, 826, 829, 834, 838], "paramet": [9, 13, 24, 26, 27, 40, 42, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 180, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 199, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 560, 561, 564, 565, 568, 569, 570, 571, 574, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 619, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 778, 779, 780, 781, 782, 783, 784, 788, 789, 792, 793, 795, 799, 804, 809, 817, 818, 821, 826, 827, 829, 830, 834, 836, 837, 848, 849, 850, 856], "x_train": 9, "y_train": [9, 42, 799], "train_siz": [9, 40], "random_st": [9, 369, 426], "51": [9, 38, 42, 51, 52, 74, 75, 76, 84, 230, 268, 281, 369, 389, 441, 619, 728, 763], "clear": [9, 190, 618, 804, 806, 810, 814, 815, 816, 826, 832, 834, 836, 844, 845, 846, 855], "amount": [9, 58, 81, 210, 618, 625, 683, 684, 685, 793, 805, 813, 815, 827], "widen": 9, "impress": 9, "outcom": [9, 52, 75, 331, 342, 365, 793], "howev": [9, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 57, 80, 242, 285, 286, 371, 374, 481, 489, 491, 568, 619, 621, 624, 672, 674, 788, 804, 805, 808, 809, 810, 812, 814, 815, 816, 817, 818, 820, 821, 822, 825, 826, 827, 829, 832, 834, 836, 837, 838, 839, 840, 845, 848, 854, 855, 861], "tend": 9, "outperform": 9, "proce": [9, 804, 805], "95933": 9, "9874": 9, "105807": 9, "70": [9, 38, 40, 52, 75, 76, 368, 389, 399, 541, 565, 624, 634, 669, 746, 845], "77": [9, 38, 42, 76, 580, 624, 634, 669, 746], "93": [9, 38, 52, 74, 76, 84, 193, 282, 353, 365, 533, 534, 618, 621, 727, 728], "wrap": [9, 17, 19, 26, 27, 29, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 576, 579, 580, 581, 582, 584, 586, 587, 598, 600, 602, 603, 606, 608, 609, 610, 611, 621, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 799, 807, 808, 809, 810, 812, 813, 814, 815, 817, 818, 821, 822, 825, 826, 829, 834, 836, 839, 840, 842, 848, 849, 851, 855, 856, 861, 862], "balanc": 9, "breast": 9, "cancer": 9, "53": [9, 21, 38, 57, 61, 74, 79, 154, 210, 240, 410, 605, 607, 617, 618, 622, 624, 629, 661, 724, 728], "return_x_i": 9, "x_test": 9, "y_test": 9, "test_siz": [9, 40], "76": [9, 19, 38, 51, 52, 65, 72, 74, 75, 84, 163, 217, 233, 281, 316, 362, 399, 617, 619, 624, 628, 634, 676, 713, 727, 746], "87": [9, 38, 77, 79, 229, 258, 368, 380, 410, 411, 511, 602, 619, 622, 763, 819], "171": [9, 57, 624, 661, 763], "90": [9, 38, 40, 42, 51, 52, 74, 75, 234, 274, 278, 353, 365, 371, 380, 479, 511, 619, 624, 634, 669, 746, 793, 845], "86": [9, 38, 61, 75, 84, 368, 380, 399, 511, 602, 622, 727, 728], "88": [9, 38, 77, 84, 107, 380, 511, 606, 613, 622, 624, 630, 634, 669, 728, 746], "perfectli": [9, 765, 846], "align": [9, 52, 69, 75, 368, 369, 403, 419, 623, 651, 793, 805, 813, 826, 828, 834, 836, 842, 861], "gain": [9, 778, 806, 808, 833, 838, 855], "combin": [9, 32, 52, 69, 75, 98, 368, 380, 401, 412, 510, 538, 539, 621, 624, 654, 664, 806, 809, 812, 813, 814, 816, 818, 822, 829, 839, 855], "build": [10, 14, 15, 17, 24, 26, 27, 30, 31, 32, 33, 38, 40, 45, 63, 69, 98, 632, 736, 737, 738, 739, 779, 780, 781, 799, 800, 805, 807, 813, 814, 822, 824, 833, 835, 838, 839, 840, 842, 845, 849, 853, 855, 857, 860, 861, 862], "timm": [10, 11, 15, 26, 27, 799, 849], "kera": [10, 11, 13, 15, 16, 24, 26, 27, 43, 44, 776, 799, 846, 849, 861], "seen": [11, 13, 18, 24, 26, 369, 375, 427, 498, 545, 621, 788, 813, 814, 816, 818, 826, 829, 834, 836, 837, 844, 845, 861], "veri": [11, 19, 26, 27, 29, 51, 74, 269, 328, 344, 365, 619, 624, 672, 765, 803, 804, 805, 806, 811, 812, 814, 815, 816, 818, 819, 821, 822, 825, 826, 827, 829, 830, 832, 835, 837, 838, 839, 840, 844, 845, 851, 852, 853, 855, 856, 857, 860, 861, 862], "guid": [11, 24, 799, 800, 804, 805, 806, 811, 820, 826, 828, 861], "focu": [11, 24, 804, 824, 853, 854, 857, 862], "more": [11, 14, 15, 17, 18, 19, 22, 24, 26, 27, 28, 29, 38, 40, 41, 42, 46, 51, 52, 57, 59, 63, 68, 74, 75, 80, 82, 86, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 148, 240, 242, 258, 273, 286, 290, 294, 295, 297, 356, 360, 366, 369, 370, 371, 416, 418, 430, 433, 445, 451, 452, 453, 458, 479, 568, 613, 616, 617, 619, 621, 624, 626, 632, 657, 663, 664, 667, 670, 672, 674, 681, 690, 697, 736, 737, 738, 739, 765, 775, 793, 799, 801, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 816, 818, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 833, 834, 835, 836, 837, 838, 839, 840, 841, 849, 850, 853, 854, 855, 856, 857, 858, 861, 862], "involv": [11, 14, 15, 22, 24, 49, 72, 175, 218, 235, 242, 268, 273, 617, 619, 793, 800, 804, 807, 813, 814, 816, 827, 832, 839, 845, 855, 861], "develop": [11, 25, 26, 27, 799, 800, 801, 802, 803, 804, 805, 806, 808, 811, 813, 819, 828, 830, 840, 842, 844, 845, 846, 848, 849, 853, 854, 855, 856, 857, 860, 861, 862], "usual": [11, 13, 43, 235, 268, 619, 792, 805, 808, 814, 826, 829, 832], "own": [11, 13, 17, 26, 27, 32, 799, 805, 808, 813, 814, 817, 818, 825, 826, 830, 834, 840, 842, 845, 846, 851, 854, 855, 860, 861], "directli": [11, 13, 17, 20, 24, 26, 27, 30, 368, 369, 403, 427, 628, 717, 799, 804, 805, 806, 808, 809, 812, 813, 814, 815, 817, 820, 822, 823, 825, 826, 827, 830, 831, 834, 836, 838, 839, 840, 841, 846, 848, 849, 850, 859, 860, 861], "case": [11, 13, 19, 21, 26, 27, 29, 30, 31, 32, 40, 47, 48, 52, 53, 59, 65, 69, 71, 75, 76, 82, 92, 93, 98, 123, 134, 161, 162, 189, 194, 195, 202, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 243, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 340, 342, 352, 365, 368, 371, 374, 375, 381, 391, 392, 393, 413, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 478, 479, 487, 489, 491, 498, 521, 538, 539, 543, 550, 564, 565, 566, 616, 617, 618, 619, 621, 624, 626, 628, 634, 672, 678, 689, 690, 691, 693, 695, 696, 698, 700, 708, 714, 747, 748, 749, 750, 751, 752, 753, 763, 764, 783, 793, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 845, 848, 849, 850, 854, 858], "mlp": 11, "mixer": 11, "onli": [11, 13, 26, 27, 32, 38, 40, 42, 44, 47, 48, 51, 52, 57, 59, 61, 69, 71, 74, 75, 80, 82, 84, 92, 95, 97, 113, 133, 173, 174, 203, 263, 264, 269, 275, 306, 336, 342, 362, 365, 368, 369, 371, 375, 380, 390, 403, 413, 422, 427, 439, 441, 451, 452, 453, 463, 496, 497, 513, 527, 613, 616, 617, 618, 619, 621, 623, 624, 626, 628, 630, 631, 633, 634, 649, 664, 671, 674, 675, 690, 693, 705, 706, 712, 713, 715, 716, 717, 722, 723, 726, 727, 728, 731, 732, 742, 748, 751, 761, 763, 764, 766, 779, 783, 792, 799, 800, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 821, 822, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 844, 848, 849, 854, 855, 856, 861, 862], "retriev": [11, 13, 17, 523, 545, 570, 621, 806, 826], "mlp_encod": [11, 26, 27, 799, 849], "create_model": [11, 26, 27, 799, 849], "mixer_b16_224": [11, 26, 27, 799, 849], "nois": [11, 13, 26, 27, 799, 848, 849], "randn": [11, 13, 26, 27, 799, 849], "tf_mlp_encod": [11, 26, 27], "output_torch": [11, 13], "output_tf": [11, 13], "constant": [11, 13, 18, 21, 22, 28, 31, 33, 38, 52, 59, 60, 75, 82, 83, 92, 93, 316, 362, 368, 370, 371, 413, 445, 446, 473, 626, 628, 629, 688, 711, 724, 778, 782, 799, 822, 827, 830, 838, 839, 840, 848, 850], "output_dens": [11, 26, 27, 799], "layer": [11, 13, 17, 23, 24, 26, 27, 38, 43, 52, 60, 75, 83, 629, 648, 649, 724, 776, 778, 780, 781, 782, 783, 784, 799, 817, 826, 830, 832, 834, 835, 838, 844, 849, 853, 855, 859, 862], "dens": [11, 24, 26, 27, 310, 362, 779, 799], "unit": [11, 26, 27, 52, 68, 75, 92, 93, 105, 107, 108, 109, 110, 111, 112, 113, 290, 291, 293, 297, 299, 300, 303, 304, 305, 360, 492, 493, 613, 799, 805, 808, 814, 826, 827, 829, 840, 856, 859], "activ": [11, 24, 26, 27, 52, 53, 56, 67, 75, 79, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 582, 623, 649, 652, 778, 779, 799, 804, 805, 806, 814, 820, 830, 831, 838, 849, 855, 858], "mention": [11, 13, 26, 27, 32, 804, 805, 806, 809, 816, 821, 822, 825, 826, 829, 832, 845, 850, 855], "basic": [11, 13, 17, 20, 24, 26, 27, 30, 33, 371, 480, 799, 800, 804, 816, 829], "fulli": [11, 13, 15, 16, 19, 24, 26, 27, 40, 52, 75, 380, 517, 779, 799, 809, 814, 821, 824, 832, 834, 835, 836, 837, 838, 839, 840, 846, 850, 853, 854, 855, 861, 862], "trainabl": [11, 13, 17, 23, 24, 26, 27, 44, 776, 780, 781, 784, 799, 817, 835, 837, 838, 849, 850], "fine": [11, 13, 26, 27, 805, 806, 814, 816, 826, 836, 839, 861], "tune": [11, 13, 26, 27, 860, 861], "train": [11, 13, 24, 26, 27, 43, 52, 54, 56, 75, 77, 79, 95, 368, 369, 374, 391, 392, 393, 438, 489, 491, 602, 603, 608, 622, 623, 646, 649, 652, 778, 779, 780, 781, 782, 799, 812, 815, 822, 837, 838, 839, 840, 846, 849, 853, 854, 859, 861, 862], "ground": [11, 13, 370, 442, 758, 760, 771, 802, 819, 826, 829, 844], "ret": [11, 13, 26, 27, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 158, 159, 160, 161, 162, 163, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 207, 208, 209, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 418, 419, 420, 421, 423, 428, 431, 433, 436, 439, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 479, 481, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 559, 560, 561, 562, 564, 565, 569, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 711, 712, 713, 714, 715, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 776, 781, 783, 788, 793, 795, 799, 814, 815, 817, 818, 824, 825, 826, 827, 830, 834, 839, 849], "op": [11, 17, 38, 775, 788, 830, 834, 840], "eagertensor": [11, 17, 38, 788, 827], "readi": [11, 13, 18, 19, 20, 28, 29, 30, 31, 32, 33, 40, 42, 804, 805], "deepmind": [12, 846], "perceiverio": [12, 846], "backbon": [12, 40, 799, 834, 837], "TO": [12, 14, 25], "replac": [12, 14, 25, 41, 51, 52, 53, 59, 61, 69, 74, 75, 76, 82, 84, 127, 269, 304, 307, 360, 362, 371, 478, 481, 564, 565, 569, 616, 619, 621, 626, 630, 686, 725, 763, 806, 811, 812, 814, 815, 823, 826, 829, 836, 839, 840, 845, 849, 862], "efficientnet": 13, "include_top": [13, 799], "eff_encod": [13, 799], "applic": [13, 15, 40, 42, 45, 52, 56, 75, 79, 95, 369, 441, 623, 624, 628, 634, 649, 652, 678, 711, 712, 713, 717, 718, 750, 752, 799, 805, 813, 814, 815, 823, 838, 852, 853, 855, 857, 859, 861], "efficientnet_v2": [13, 799], "efficientnetv2b0": [13, 799], "data": [13, 21, 22, 23, 24, 27, 32, 40, 42, 45, 46, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 64, 65, 66, 68, 69, 71, 74, 75, 76, 79, 80, 82, 84, 85, 86, 87, 88, 89, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 147, 149, 150, 152, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 176, 177, 178, 179, 181, 187, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 294, 295, 296, 297, 306, 307, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 329, 330, 331, 347, 352, 360, 362, 365, 368, 369, 371, 375, 379, 380, 383, 391, 392, 393, 409, 411, 413, 419, 421, 439, 456, 478, 481, 482, 484, 496, 497, 498, 499, 500, 506, 510, 511, 512, 516, 519, 520, 537, 550, 552, 553, 556, 582, 613, 616, 618, 619, 621, 623, 624, 626, 628, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 646, 647, 653, 654, 655, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 687, 690, 691, 693, 694, 696, 697, 701, 709, 726, 727, 728, 730, 731, 732, 734, 735, 740, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 775, 778, 779, 780, 781, 785, 793, 799, 805, 807, 808, 809, 810, 811, 812, 815, 817, 821, 822, 823, 825, 827, 830, 832, 834, 836, 842, 843, 845, 855, 856, 857, 859, 860, 861], "storag": [13, 40, 41, 837, 845], "googleapi": [13, 40, 41], "efficientnetv2": 13, "b0_notop": 13, "h5": [13, 69], "24274472": 13, "0u": 13, "torch_eff_encod": [13, 799], "1280": [13, 533, 621, 799], "state": [14, 25, 40, 56, 75, 79, 95, 182, 183, 184, 185, 186, 268, 368, 413, 589, 591, 594, 596, 597, 617, 619, 621, 623, 648, 761, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 799, 802, 805, 811, 814, 815, 817, 818, 819, 820, 821, 826, 829, 833, 834, 835, 837, 845, 849, 861, 862], "api": [14, 19, 24, 25, 29, 42, 44, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 173, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 802, 805, 806, 807, 809, 811, 814, 815, 816, 817, 818, 819, 821, 823, 825, 826, 827, 829, 832, 833, 835, 837, 840, 842, 843, 844, 851, 853, 855, 857, 860, 862], "welcom": [15, 41, 799, 800, 805, 806, 828], "goal": [15, 40, 242, 619, 799, 804, 845, 855, 861], "provid": [15, 17, 21, 24, 26, 27, 31, 32, 38, 44, 48, 52, 53, 57, 59, 62, 65, 66, 69, 71, 75, 76, 80, 82, 85, 88, 89, 117, 134, 136, 153, 154, 155, 156, 157, 165, 175, 187, 191, 287, 368, 369, 371, 374, 380, 403, 411, 415, 420, 424, 435, 436, 440, 441, 457, 459, 468, 487, 489, 491, 520, 532, 564, 565, 615, 616, 617, 618, 619, 621, 623, 624, 626, 628, 631, 634, 635, 649, 666, 669, 680, 689, 690, 697, 709, 731, 751, 753, 754, 755, 764, 779, 783, 788, 789, 799, 804, 805, 806, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 824, 825, 826, 827, 829, 830, 832, 836, 838, 840, 844, 848, 849, 850, 853, 854, 855, 856, 857, 858, 859, 862], "varieti": [15, 808, 813, 814, 815, 829, 831, 851, 853, 857, 858, 861, 862], "organ": [15, 809, 812, 822, 826, 828, 830, 842, 845], "main": [15, 27, 48, 52, 57, 75, 80, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 419, 462, 616, 624, 656, 657, 678, 799, 804, 805, 806, 808, 811, 812, 819, 823, 825, 853, 855, 856, 861], "exactli": [15, 19, 29, 38, 39, 43, 285, 619, 804, 812, 813, 814, 815, 816, 818, 829, 832, 844, 846], "rush": [15, 846], "jump": [15, 827], "straight": [15, 799, 813, 826, 829, 836], "quickstart": 15, "introduct": [15, 17, 24, 26, 27, 855], "capabl": [15, 23, 27, 829, 832], "point": [15, 24, 49, 51, 52, 57, 61, 63, 65, 72, 74, 75, 80, 84, 88, 121, 122, 123, 125, 127, 130, 137, 138, 143, 147, 160, 164, 168, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 248, 249, 250, 251, 256, 257, 258, 259, 260, 268, 270, 271, 273, 275, 277, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 306, 307, 309, 329, 330, 346, 347, 350, 352, 362, 365, 368, 369, 370, 375, 380, 383, 391, 392, 393, 411, 421, 439, 442, 496, 497, 498, 499, 500, 510, 511, 512, 520, 614, 616, 617, 619, 624, 630, 631, 632, 633, 634, 653, 655, 658, 659, 660, 662, 665, 666, 667, 670, 671, 672, 673, 674, 675, 676, 678, 681, 727, 728, 734, 736, 737, 738, 739, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 788, 789, 799, 802, 804, 805, 806, 808, 809, 811, 813, 814, 816, 817, 819, 821, 825, 826, 829, 830, 832, 834, 836, 837, 846, 848, 861], "those": [15, 39, 40, 57, 59, 69, 75, 80, 82, 121, 174, 235, 268, 482, 601, 616, 617, 619, 621, 624, 626, 628, 631, 671, 674, 686, 707, 734, 804, 805, 806, 809, 812, 813, 814, 823, 825, 826, 827, 829, 832, 844, 852], "who": [15, 807, 818, 833, 840, 855, 857], "deeper": [15, 17, 27, 47, 628, 716, 717, 806, 807, 829, 833, 844], "showcas": [15, 799], "real": [15, 23, 51, 52, 65, 74, 75, 88, 97, 107, 110, 113, 137, 138, 215, 216, 217, 218, 220, 221, 222, 223, 224, 233, 235, 236, 238, 240, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 265, 268, 270, 271, 273, 277, 278, 279, 281, 282, 283, 284, 285, 286, 288, 289, 329, 330, 336, 337, 347, 365, 368, 369, 390, 411, 412, 421, 422, 613, 616, 619, 624, 631, 634, 658, 659, 660, 665, 672, 674, 675, 678, 681, 734, 747, 749, 750, 751, 752, 812, 857], "world": [15, 23, 806, 857], "whether": [15, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 93, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 122, 123, 129, 131, 136, 138, 144, 147, 148, 150, 153, 154, 155, 156, 157, 158, 161, 162, 163, 165, 166, 167, 168, 170, 171, 172, 173, 175, 187, 191, 192, 194, 195, 197, 199, 202, 203, 205, 208, 209, 211, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 323, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 362, 365, 368, 369, 370, 371, 380, 386, 387, 388, 390, 391, 392, 393, 409, 411, 413, 415, 430, 436, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 461, 463, 464, 465, 468, 472, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 560, 564, 565, 566, 567, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 594, 595, 598, 600, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 634, 635, 637, 638, 639, 640, 646, 647, 648, 649, 652, 653, 654, 659, 660, 661, 662, 663, 664, 665, 667, 669, 671, 672, 673, 678, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 758, 760, 763, 775, 776, 779, 780, 781, 782, 783, 792, 799, 800, 804, 805, 809, 812, 814, 816, 821, 825, 826, 829, 831, 832, 848, 849], "beginn": [15, 800, 855], "advanc": [15, 38, 805, 854], "got": [15, 38, 818], "cover": [15, 26, 52, 75, 368, 404, 405, 406, 804, 808, 809, 811, 814, 816, 817, 822, 823, 829, 832, 833], "write": [15, 16, 26, 27, 38, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 323, 327, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 343, 345, 346, 347, 348, 351, 352, 353, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 415, 416, 418, 419, 427, 428, 431, 432, 433, 434, 440, 442, 443, 444, 445, 447, 448, 457, 458, 461, 462, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 732, 733, 735, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 761, 799, 803, 804, 806, 807, 808, 810, 811, 813, 814, 816, 817, 818, 822, 825, 827, 830, 834, 836, 839, 846, 855, 862], "familiar": [15, 16, 17, 799, 804, 805], "concept": [15, 16, 17], "agnost": [15, 16, 17, 18, 26, 27, 28, 32, 38, 799, 809, 814, 821, 834, 836, 839, 840, 861, 862], "unifi": [15, 16, 17, 19, 20, 26, 29, 30, 34, 41, 69, 208, 618, 807, 808, 809, 813, 814, 818, 823, 824, 826, 832, 834, 840, 843, 845, 847, 849, 851, 852, 853, 855, 859, 862], "alongsid": [15, 16, 17, 18, 28, 623, 649, 845], "turn": [15, 16, 19, 29, 56, 79, 92, 93, 391, 392, 393, 623, 646, 779, 805, 811, 812, 815, 816, 826, 829, 846], "wrapper": [15, 16, 19, 771, 809, 811, 812, 814, 818, 822, 825, 826, 836, 842, 851, 855], "unus": [15, 16, 19, 816, 825], "part": [15, 16, 19, 48, 51, 52, 74, 75, 80, 97, 107, 110, 113, 140, 141, 142, 248, 252, 275, 322, 323, 348, 362, 365, 368, 369, 371, 380, 411, 422, 473, 520, 613, 616, 619, 624, 659, 660, 760, 799, 804, 805, 806, 808, 811, 814, 820, 822, 825, 826, 829, 830, 832, 834, 835, 839, 840, 848, 849, 850, 853, 855, 860, 861, 862], "lazi": [15, 16, 19, 22, 29, 32, 33, 44], "eager": [15, 16, 19, 22, 24, 29, 32, 33, 44, 812, 840, 855], "understand": [15, 16, 17, 21, 38, 44, 802, 803, 804, 805, 806, 807, 808, 811, 816, 817, 821, 827, 828, 833, 846, 851, 861], "decor": [15, 16, 21, 23, 24, 32, 44, 527, 621, 763, 765, 771, 802, 808, 809, 812, 814, 815, 819, 822, 825, 826, 827, 832], "kornia": [15, 16, 23, 26, 27, 40, 44, 799, 849], "roundup": 17, "over": [17, 24, 27, 29, 40, 52, 57, 65, 66, 67, 72, 75, 79, 80, 88, 89, 90, 92, 117, 314, 315, 329, 330, 342, 349, 362, 365, 368, 369, 371, 378, 380, 382, 383, 384, 387, 396, 401, 405, 409, 410, 411, 412, 413, 414, 434, 450, 463, 478, 481, 482, 503, 513, 519, 568, 601, 615, 621, 624, 629, 630, 634, 635, 654, 665, 676, 678, 680, 681, 724, 728, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 782, 788, 792, 799, 805, 806, 810, 816, 817, 824, 825, 827, 830, 834, 836, 840, 844, 846, 853, 855], "indep": [17, 26], "futur": [17, 24, 26, 40, 624, 659, 660, 799, 805, 806, 813, 814, 829, 830, 832, 836, 840, 844, 846, 861], "proof": [17, 26], "delv": [17, 27, 799], "theori": [17, 801, 811], "deep": [17, 24, 26, 38, 69, 533, 621, 799, 800, 801, 803, 804, 806, 808, 811, 812, 814, 820, 824, 827, 833, 836, 837, 844, 853, 855, 858, 859, 861, 862], "esenti": [17, 26], "abstract": [17, 26, 27, 778, 783, 799, 812, 814, 825, 826, 829, 832, 838, 844, 853, 855, 857, 858, 862], "specif": [17, 18, 23, 24, 26, 27, 28, 30, 32, 40, 50, 52, 53, 73, 75, 76, 175, 206, 209, 242, 263, 264, 273, 316, 329, 330, 362, 365, 371, 375, 481, 500, 533, 534, 535, 561, 617, 618, 619, 621, 624, 626, 627, 630, 633, 634, 659, 660, 676, 697, 702, 703, 704, 725, 742, 747, 748, 749, 751, 758, 760, 780, 781, 788, 789, 795, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 818, 820, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 838, 839, 840, 841, 842, 844, 848, 849, 850, 851, 853, 854, 856, 857, 858, 862], "quirk": [17, 26], "perk": [17, 26, 799, 809, 812], "under": [17, 26, 27, 52, 370, 445, 446, 792, 799, 804, 805, 807, 808, 815, 816, 817, 820, 826, 827, 829, 832, 833, 834, 837, 839, 840, 848, 849, 855, 858, 862], "hood": [17, 26, 27, 799, 807, 815, 816, 820, 826, 829, 832, 833, 834, 837, 839, 848, 849, 862], "appropi": 17, "string": [17, 26, 27, 42, 52, 53, 56, 69, 75, 79, 145, 146, 158, 165, 187, 188, 189, 190, 191, 193, 202, 209, 210, 214, 368, 369, 371, 410, 414, 422, 473, 484, 512, 531, 617, 618, 621, 623, 624, 636, 637, 638, 639, 641, 643, 645, 660, 758, 760, 764, 792, 793, 810, 811, 813, 814, 815, 818, 826, 834, 837], "simplest": [17, 805, 816, 829, 832], "interact": [17, 26, 41, 44, 804, 854, 855, 860], "submodul": [17, 26, 40, 42, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 804, 805, 806, 808, 811, 813, 815, 819, 822, 823, 829, 833, 834, 838, 842], "ones": [17, 24, 26, 38, 44, 48, 52, 54, 56, 61, 69, 71, 75, 79, 84, 127, 131, 136, 138, 144, 194, 195, 231, 307, 362, 380, 519, 602, 616, 618, 619, 622, 623, 641, 642, 726, 727, 728, 764, 799, 804, 809, 813, 816, 821, 822, 828, 829, 836, 837, 855], "likewis": [17, 22, 26, 33, 799, 806, 812, 814, 817, 821, 822, 826, 832, 837, 848, 849, 861], "nativearrai": [17, 26, 27, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 63, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 122, 123, 124, 126, 131, 132, 133, 134, 135, 136, 138, 140, 141, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 166, 167, 168, 170, 172, 174, 175, 181, 191, 192, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 311, 312, 316, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 456, 457, 458, 459, 461, 462, 463, 464, 465, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 510, 511, 512, 513, 514, 522, 525, 526, 528, 529, 533, 534, 535, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 553, 556, 557, 559, 564, 565, 566, 569, 578, 579, 580, 581, 582, 584, 586, 587, 589, 600, 602, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 706, 707, 708, 712, 713, 714, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 784, 809, 812, 816, 818, 821, 822, 823, 825, 826, 830, 831, 834, 836, 842], "alia": [17, 26, 329, 330, 365, 614, 804, 826, 847, 850], "select": [17, 26, 31, 44, 52, 65, 75, 88, 369, 371, 380, 422, 433, 481, 482, 511, 512, 634, 744, 745, 804, 805, 806, 813, 819, 825, 829, 834, 836, 839, 840, 855, 858, 859], "lastli": [17, 26, 809], "contain": [17, 26, 27, 41, 46, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 93, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 158, 160, 161, 162, 163, 166, 167, 168, 170, 172, 175, 192, 194, 195, 196, 201, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 360, 362, 365, 367, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 569, 572, 574, 579, 580, 581, 582, 584, 586, 587, 594, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 708, 712, 713, 714, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 770, 771, 779, 780, 781, 783, 784, 788, 792, 793, 799, 801, 802, 804, 805, 807, 808, 809, 810, 811, 813, 814, 816, 817, 819, 821, 822, 823, 824, 825, 827, 829, 831, 832, 833, 834, 835, 838, 840, 841, 842, 844, 848, 855, 856, 861], "subclass": [17, 26, 27, 823, 826, 832, 849], "dict": [17, 26, 27, 40, 44, 47, 53, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 129, 131, 136, 138, 144, 148, 150, 161, 162, 163, 167, 168, 175, 191, 194, 195, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 319, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 362, 371, 390, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 473, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 523, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 586, 587, 600, 611, 615, 617, 618, 621, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 705, 706, 708, 711, 712, 713, 714, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 760, 761, 776, 779, 781, 788, 793, 809, 812, 837, 838, 842, 848, 849, 850], "recurs": [17, 26, 27, 40, 42, 47, 69, 70, 161, 162, 194, 195, 369, 438, 538, 539, 545, 617, 618, 621, 628, 705, 706, 709, 715, 716, 717, 758, 805, 808, 811, 812, 819, 822, 825, 838, 840], "oper": [17, 18, 21, 22, 23, 24, 26, 27, 28, 32, 39, 42, 48, 49, 51, 52, 53, 56, 69, 71, 72, 74, 75, 76, 79, 98, 113, 132, 133, 175, 205, 213, 218, 220, 229, 232, 235, 242, 257, 259, 268, 269, 273, 277, 280, 285, 296, 304, 324, 325, 326, 357, 360, 362, 367, 368, 371, 382, 383, 384, 386, 387, 388, 394, 395, 396, 400, 404, 405, 406, 407, 409, 410, 412, 414, 415, 478, 480, 526, 533, 534, 535, 582, 613, 616, 617, 618, 619, 621, 623, 624, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 649, 676, 678, 750, 752, 763, 766, 779, 793, 799, 804, 805, 807, 808, 809, 812, 814, 815, 816, 817, 818, 822, 825, 826, 829, 832, 834, 837, 838, 842, 844, 848, 851, 852, 853, 854, 855, 856, 858, 859, 860, 861, 862], "fashion": [17, 765, 829, 849], "native_arrai": [17, 26, 27, 48, 49, 51, 71, 73, 74, 75, 76, 80, 87, 105, 108, 131, 134, 136, 138, 144, 147, 148, 149, 150, 158, 163, 170, 192, 201, 209, 225, 229, 234, 235, 236, 238, 242, 246, 254, 255, 263, 268, 271, 274, 277, 282, 329, 330, 356, 365, 370, 371, 447, 473, 479, 483, 522, 525, 552, 553, 556, 586, 613, 616, 617, 618, 619, 621, 623, 624, 625, 626, 630, 631, 634, 635, 637, 638, 645, 652, 655, 659, 660, 666, 667, 671, 675, 676, 678, 681, 683, 685, 686, 693, 725, 734, 743, 749, 752, 754, 760, 770, 788, 802, 819, 827, 829], "data_class": [17, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 387, 388, 533, 537, 674, 699], "low": [17, 26, 29, 45, 52, 56, 61, 75, 79, 84, 368, 410, 414, 623, 630, 636, 637, 638, 639, 641, 643, 645, 726, 728, 765, 812, 818, 825, 826, 832, 834, 851, 853, 855, 856, 857, 859, 861], "level": [17, 26, 27, 29, 52, 75, 76, 369, 438, 525, 793, 799, 800, 804, 805, 806, 812, 814, 818, 822, 824, 825, 826, 828, 831, 832, 833, 834, 837, 838, 839, 840, 842, 846, 851, 852, 853, 854, 855, 856, 857, 859, 860, 861, 862], "c": [17, 26, 32, 41, 42, 48, 52, 53, 54, 56, 59, 65, 71, 72, 74, 75, 76, 77, 79, 80, 82, 86, 88, 92, 93, 111, 122, 123, 133, 136, 160, 163, 218, 229, 235, 236, 256, 257, 259, 268, 271, 279, 286, 368, 369, 371, 374, 380, 382, 383, 384, 395, 400, 416, 418, 420, 421, 423, 433, 451, 452, 453, 463, 481, 489, 490, 491, 494, 512, 525, 533, 534, 535, 536, 544, 548, 549, 587, 602, 603, 606, 608, 609, 610, 613, 616, 617, 619, 621, 622, 623, 624, 626, 628, 631, 632, 634, 637, 638, 639, 640, 641, 642, 644, 658, 660, 662, 693, 697, 705, 708, 712, 713, 714, 716, 717, 722, 723, 734, 739, 745, 746, 751, 753, 782, 792, 793, 800, 805, 807, 810, 811, 812, 816, 822, 824, 833, 834, 835, 837, 840, 842, 843, 845, 846, 849, 851, 855, 859, 860, 862], "fundament": [17, 26, 813, 826, 832, 834, 844, 855], "common": [17, 20, 26, 30, 51, 52, 69, 74, 174, 245, 253, 333, 339, 365, 617, 619, 800, 802, 804, 805, 811, 814, 815, 816, 822, 823, 826, 830, 832, 840, 844, 852, 855, 862], "signatur": [17, 26, 371, 380, 473, 510, 814, 815, 816, 817, 821, 825, 829, 830, 832, 845, 852, 861], "matmul": [17, 26, 27, 43, 57, 80, 369, 436, 601, 621, 624, 674, 810, 829, 830, 834], "to_n": [17, 26, 27, 38, 47, 70, 834], "jaxlib": [17, 23, 41, 788, 805, 809, 814, 815, 821, 830, 834, 836], "xla_extens": [17, 23, 788, 809, 814, 815, 821, 830, 834, 836], "arrayimpl": [17, 23, 788], "abov": [17, 22, 26, 27, 32, 33, 48, 51, 52, 57, 61, 68, 74, 75, 80, 84, 93, 113, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 305, 307, 322, 323, 329, 330, 332, 335, 360, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 401, 404, 405, 406, 411, 412, 413, 421, 422, 473, 481, 510, 513, 540, 544, 546, 548, 550, 587, 611, 613, 616, 617, 619, 621, 622, 623, 624, 626, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 726, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 802, 804, 805, 806, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 832, 834, 836, 837, 838, 839, 855, 860], "why": [17, 799, 806, 825, 836, 843, 845], "underli": [17, 26, 27, 38, 52, 59, 75, 82, 95, 225, 228, 230, 265, 370, 371, 446, 463, 619, 624, 626, 672, 693, 812, 825, 832, 848, 855], "disabl": [17, 26, 52, 75, 371, 481, 781, 811], "array_mod": [17, 26, 566, 589, 621, 831], "set_array_mod": [17, 26, 589, 621, 831], "composit": [17, 26, 161, 162, 194, 195, 287, 369, 428, 538, 539, 617, 618, 619, 621, 764, 766, 804, 807, 809, 810, 812, 814, 815, 823, 825, 826, 827, 829, 832, 834, 838, 839, 840, 842, 848, 856], "ultim": [17, 26, 848], "sigmoid": [17, 26, 27, 38, 46, 52, 68, 75, 295, 360, 375, 496, 613, 775, 834, 837, 838], "z": [17, 26, 27, 39, 40, 48, 51, 52, 53, 57, 58, 61, 63, 65, 71, 74, 75, 76, 80, 81, 82, 84, 88, 97, 98, 132, 133, 135, 136, 196, 218, 219, 223, 225, 228, 230, 235, 246, 247, 250, 251, 252, 254, 255, 260, 262, 264, 265, 266, 267, 275, 284, 294, 295, 329, 330, 332, 360, 365, 370, 380, 442, 444, 445, 446, 447, 448, 454, 458, 469, 509, 510, 513, 520, 525, 537, 540, 541, 548, 549, 565, 578, 579, 580, 588, 601, 616, 618, 619, 621, 624, 625, 626, 628, 630, 631, 632, 634, 654, 664, 669, 670, 674, 681, 683, 684, 685, 686, 708, 712, 714, 722, 726, 727, 728, 731, 736, 746, 747, 749, 750, 751, 778, 799, 810, 812, 815, 816, 834, 836, 848], "divid": [17, 22, 26, 27, 43, 51, 52, 53, 59, 69, 74, 75, 82, 97, 98, 242, 374, 443, 489, 490, 491, 494, 579, 619, 621, 626, 695, 809, 812, 816, 820, 829], "exp": [17, 26, 27, 51, 52, 74, 75, 111, 113, 240, 260, 273, 295, 360, 368, 370, 395, 400, 446, 613, 619, 624, 672, 824, 826], "high": [17, 26, 27, 45, 52, 56, 61, 75, 79, 84, 368, 410, 414, 573, 621, 623, 630, 636, 637, 638, 639, 641, 643, 645, 726, 728, 765, 804, 818, 824, 826, 837, 842, 846, 851, 852, 853, 854, 855, 859, 861, 862], "network": [17, 24, 26, 27, 38, 40, 45, 623, 647, 775, 778, 779, 799, 812, 822, 834, 838, 845, 849, 851, 853, 854, 855, 859, 861, 862], "entir": [17, 26, 27, 29, 42, 52, 65, 66, 69, 75, 76, 88, 89, 208, 238, 240, 280, 281, 329, 330, 365, 368, 371, 380, 391, 392, 393, 473, 513, 546, 618, 619, 634, 635, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 793, 804, 805, 806, 808, 809, 812, 814, 816, 818, 825, 826, 827, 829, 832, 834, 837, 838, 839, 840, 845, 846, 849, 855, 861, 862], "further": [17, 69, 98, 765, 806, 808, 809, 813, 816, 818, 821, 822, 825, 826, 828, 829, 833, 834, 837, 838, 845, 846, 860, 861], "congratul": [17, 23], "There": [17, 24, 27, 32, 92, 361, 363, 364, 372, 373, 377, 765, 799, 804, 805, 806, 808, 809, 811, 812, 814, 815, 816, 818, 820, 822, 824, 826, 827, 831, 834, 837, 840, 844, 848, 856, 857, 861, 862], "come": [17, 40, 804, 805, 806, 809, 813, 826, 831, 832, 838, 842, 855], "independ": [17, 27, 52, 61, 75, 84, 218, 235, 268, 278, 374, 375, 494, 496, 619, 624, 630, 654, 673, 725, 799, 808, 814, 816, 823, 834, 839, 849, 853], "good": [17, 26, 27, 799, 803, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 827, 829, 830, 832, 834, 835, 838], "foundat": [17, 845, 858], "power": [17, 26, 27, 51, 52, 53, 57, 74, 75, 76, 80, 97, 98, 229, 238, 239, 273, 327, 339, 362, 365, 368, 415, 570, 580, 592, 619, 621, 624, 628, 666, 679, 711, 778, 831, 836, 837, 838, 855, 857, 861], "defin": [18, 24, 26, 27, 28, 48, 52, 53, 57, 71, 75, 76, 80, 95, 111, 136, 140, 141, 142, 218, 235, 242, 268, 269, 277, 279, 282, 294, 298, 302, 308, 311, 312, 313, 322, 323, 324, 325, 326, 329, 330, 332, 360, 362, 365, 368, 369, 371, 380, 403, 420, 473, 479, 513, 548, 549, 569, 613, 616, 619, 621, 624, 634, 654, 659, 660, 673, 747, 748, 749, 751, 799, 804, 805, 809, 810, 813, 814, 817, 821, 824, 826, 827, 829, 830, 836, 838, 840, 842, 850, 852, 853, 854, 855, 856, 859, 861, 862], "div": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 850], "sub": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 52, 57, 59, 69, 70, 74, 75, 76, 80, 82, 98, 267, 369, 371, 380, 422, 459, 468, 487, 516, 517, 545, 621, 624, 626, 627, 657, 678, 695, 702, 703, 704, 804, 806, 807, 812, 818, 826, 827, 829, 836, 837, 838, 850, 851], "By": [18, 38, 45, 52, 58, 59, 65, 66, 75, 81, 82, 88, 89, 282, 327, 329, 330, 342, 349, 362, 365, 368, 370, 371, 378, 380, 390, 445, 446, 481, 503, 510, 513, 568, 619, 621, 624, 625, 626, 634, 635, 654, 680, 683, 692, 744, 747, 748, 749, 750, 751, 752, 753, 754, 755, 805, 810, 814, 816, 818, 822, 824, 825, 826, 834, 838, 839, 848], "uniform": [18, 19, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 40, 52, 61, 75, 84, 380, 513, 630, 725, 726, 728, 778, 799, 828, 838, 849, 850, 862], "x_": [18, 28, 93, 279, 619, 850], "82997245": 18, "44733784": 18, "32163444": 18, "93330479": 18, "52438271": 18, "20438017": 18, "252316": 18, "0827222": 18, "26017165": 18, "88881904": 18, "compat": [18, 24, 28, 32, 38, 45, 51, 52, 57, 59, 62, 65, 66, 74, 75, 80, 82, 85, 88, 89, 97, 98, 149, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 289, 329, 330, 365, 617, 619, 624, 626, 631, 634, 635, 654, 667, 670, 673, 676, 680, 681, 693, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 805, 810, 821, 826, 827, 830, 834, 840, 845], "sever": [18, 19, 28, 29, 31, 32, 33, 52, 75, 92, 368, 369, 382, 383, 384, 434, 763, 805, 806, 830, 840, 853, 859], "pro": [18, 19, 20, 28, 29, 30, 31, 32, 33], "pick": [19, 29, 778], "off": [19, 29, 56, 57, 79, 80, 391, 392, 393, 623, 624, 646, 657, 678, 778, 779, 805, 819, 833, 846, 848, 861], "last": [19, 24, 26, 29, 48, 52, 56, 57, 58, 59, 62, 64, 65, 66, 69, 71, 75, 79, 80, 81, 82, 87, 88, 89, 93, 97, 132, 133, 136, 191, 307, 335, 362, 365, 368, 369, 370, 371, 378, 380, 396, 401, 411, 412, 413, 424, 445, 463, 473, 475, 481, 503, 511, 512, 616, 618, 623, 624, 625, 626, 631, 633, 634, 635, 648, 649, 654, 657, 669, 678, 680, 684, 685, 687, 690, 693, 694, 695, 697, 731, 732, 740, 742, 743, 744, 745, 754, 755, 779, 788, 799, 806, 808, 810, 811, 814, 816, 825, 827, 829, 832, 834, 840, 846, 849, 855], "purpos": [19, 26, 27, 29, 40, 42, 142, 240, 258, 322, 362, 616, 619, 624, 672, 806, 807, 809, 812, 813, 815, 816, 818, 821, 822, 823, 826, 828, 829, 832, 833, 836, 842, 854, 856, 859, 860, 861], "illustr": [19, 29, 810, 834], "trigger": [19, 29, 781, 804, 820], "unif": [19, 21, 22, 29, 31, 800, 836, 845, 851, 861], "detail": [19, 29, 42, 46, 51, 52, 57, 59, 63, 68, 74, 75, 76, 80, 82, 86, 105, 106, 107, 108, 109, 110, 111, 112, 113, 128, 139, 286, 290, 294, 295, 297, 360, 369, 418, 458, 536, 613, 616, 619, 632, 657, 664, 670, 674, 697, 736, 737, 738, 739, 775, 799, 804, 806, 808, 810, 811, 812, 813, 820, 821, 822, 823, 826, 827, 828, 829, 830, 831, 834, 836, 837, 838, 857, 861], "55563945": 19, "65538704": 19, "14150524": 19, "46951997": 19, "30220294": 19, "14739668": 19, "57017946": 19, "91962677": 19, "51029003": 19, "59644395": 19, "arbitrari": [19, 29, 48, 49, 52, 69, 72, 75, 134, 148, 175, 316, 370, 443, 451, 452, 453, 604, 616, 617, 622, 821, 822, 824, 825, 826, 829, 838, 840, 848, 850, 856, 861], "constitu": [19, 29, 69, 839], "due": [19, 26, 27, 29, 43, 45, 268, 278, 371, 481, 619, 805, 808, 813, 818, 825, 826, 845, 848, 849, 855], "manner": [19, 27, 29, 39, 47, 70, 628, 717, 805, 814, 815, 817, 822, 826, 830, 837, 840, 844, 851, 853, 861, 862], "non": [19, 29, 49, 51, 52, 57, 61, 62, 65, 66, 72, 74, 75, 80, 84, 85, 88, 89, 129, 147, 165, 174, 243, 263, 264, 269, 329, 330, 334, 340, 353, 365, 368, 369, 371, 380, 411, 422, 426, 430, 452, 453, 513, 516, 616, 617, 619, 624, 628, 630, 631, 634, 635, 654, 655, 665, 667, 674, 676, 680, 681, 718, 727, 731, 732, 733, 734, 747, 748, 749, 750, 751, 753, 754, 755, 763, 778, 780, 781, 783, 809, 812, 816, 834, 848, 849, 850, 855], "5556394": 19, "655387": 19, "1415051": 19, "4695197": 19, "3022028": 19, "1473966": 19, "5701794": 19, "91962665": 19, "51028997": 19, "5964439": 19, "assess": [19, 29, 804, 832], "985": 19, "000": [19, 74, 269, 763, 802, 813, 819], "69": [19, 38, 45, 51, 77, 84, 216, 258, 368, 389, 399, 606, 619, 622, 624, 665, 666, 727, 829, 837], "slower": [19, 826], "On": [19, 26, 27, 805, 814, 815, 820, 826, 829, 832, 835, 839], "hand": [19, 51, 369, 436, 763, 799, 808, 814, 815, 820, 822, 829, 840], "singl": [19, 29, 38, 43, 51, 61, 69, 74, 84, 93, 287, 344, 365, 369, 375, 433, 497, 587, 600, 604, 619, 621, 622, 623, 630, 632, 649, 726, 727, 728, 736, 763, 779, 804, 805, 806, 808, 813, 816, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 846], "learnt": [20, 30], "two": [20, 30, 32, 38, 48, 52, 57, 63, 75, 76, 80, 97, 98, 118, 121, 127, 134, 140, 141, 142, 173, 181, 229, 243, 244, 278, 322, 323, 328, 340, 341, 343, 344, 346, 348, 355, 362, 365, 368, 369, 370, 371, 380, 396, 419, 420, 421, 433, 443, 447, 452, 473, 479, 483, 510, 520, 525, 615, 616, 617, 619, 621, 624, 626, 632, 653, 655, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 698, 736, 737, 738, 739, 763, 765, 771, 779, 804, 805, 808, 809, 814, 815, 816, 817, 822, 826, 827, 829, 832, 833, 837, 839, 846, 852, 860], "workflow": [20, 30, 41, 804, 806, 810, 814, 824, 826, 837, 842, 846, 854, 861, 862], "ivy_norm": 20, "jax_norm": [20, 26, 27], "wider": [20, 30, 573, 595, 621, 814, 831, 861], "avoid": [20, 30, 32, 52, 59, 75, 235, 240, 242, 258, 268, 370, 371, 374, 443, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 489, 490, 491, 527, 543, 545, 568, 573, 595, 619, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 765, 766, 805, 806, 810, 811, 812, 813, 814, 818, 823, 826, 829, 830, 831, 832, 855], "conveni": [20, 30, 804, 814, 815, 821, 827, 835, 837, 838, 842, 861], "act": [20, 30, 52, 75, 356, 366, 806, 816, 831, 840, 862], "shorthand": [20, 30, 32, 829], "pair": [20, 30, 40, 52, 56, 75, 79, 223, 242, 314, 355, 362, 365, 368, 401, 410, 412, 414, 619, 623, 624, 636, 637, 638, 639, 641, 643, 645, 652, 654, 793], "93968587": 20, "26075466": 20, "22723222": 20, "06276492": 20, "47426987": 20, "72835908": 20, "71737559": 20, "50411096": 20, "65419174": 20, "15576624": 20, "implic": [20, 30, 31, 34, 812], "requir": [21, 22, 23, 24, 31, 40, 41, 42, 45, 51, 52, 69, 74, 75, 269, 282, 286, 369, 371, 421, 422, 473, 619, 624, 626, 658, 659, 660, 697, 763, 771, 776, 793, 801, 804, 805, 809, 811, 813, 814, 815, 816, 817, 818, 820, 821, 823, 826, 827, 828, 829, 830, 832, 834, 836, 840, 849, 855, 861], "satisfi": [21, 22, 23, 24, 40, 42, 45, 52, 368, 369, 390, 422, 814, 816], "opt": [21, 22, 23, 24, 44, 805, 810, 814, 825, 829, 832], "fw": [21, 22, 23, 24, 56, 79, 380, 510, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 760, 805, 829], "mxnet": [21, 22, 23, 24, 788, 804, 805, 845, 862], "26": [21, 22, 23, 24, 38, 40, 42, 45, 51, 52, 60, 61, 75, 76, 77, 84, 230, 235, 281, 368, 369, 389, 425, 433, 548, 602, 619, 621, 622, 623, 624, 628, 629, 634, 645, 657, 669, 676, 706, 724, 726, 727, 746], "einop": [21, 22, 23, 24, 40, 42, 45, 53, 76, 533, 534, 535, 621, 814, 845], "miniconda": [21, 22, 23, 24], "env": [21, 22, 23, 24], "multienv": [21, 22, 23, 24], "site": [21, 22, 23, 24, 856], "psutil": [21, 22, 23, 24, 40, 42, 45], "termcolor": [21, 22, 23, 24, 40, 42, 45, 69, 98], "colorama": [21, 22, 23, 24, 40, 42], "nvidia": [21, 22, 23, 24, 40, 42, 45, 859, 860], "535": [21, 22, 23, 24, 46, 68, 113, 613, 818], "diskcach": [21, 22, 23, 24, 40], "auth": [21, 22, 23, 24], "urllib3": [21, 22, 23, 24, 40], "pyvi": [21, 22, 23, 24, 26, 27], "dill": [21, 22, 23, 24, 40], "astunpars": [21, 22, 23, 24], "cloudpickl": [21, 22, 23, 24], "gast": [21, 22, 23, 24], "66": [21, 22, 23, 24, 38, 40, 42, 65, 75, 76, 77, 368, 399, 533, 534, 606, 621, 622, 624, 634, 669, 746], "wheel": [21, 22, 23, 24, 40, 42, 45, 844], "six": [21, 22, 23, 24, 40, 45, 805, 832], "cachetool": [21, 22, 23, 24], "pyasn1": [21, 22, 23, 24], "rsa": [21, 22, 23, 24], "jinja2": [21, 22, 23, 24], "jsonpickl": [21, 22, 23, 24], "networkx": [21, 22, 23, 24, 45], "charset": [21, 22, 23, 24, 40], "idna": [21, 22, 23, 24, 40], "certifi": [21, 22, 23, 24, 40], "2017": [21, 22, 23, 24, 40, 623, 649], "jedi": [21, 22, 23, 24], "inlin": [21, 22, 23, 24, 811], "prompt": [21, 22, 23, 24, 804, 806], "toolkit": [21, 22, 23, 24, 855, 856, 862], "pygment": [21, 22, 23, 24], "traitlet": [21, 22, 23, 24], "exceptiongroup": [21, 22, 23, 24], "paddl": [21, 22, 23, 24, 329, 330, 365, 776, 788, 804, 805, 814, 819], "pexpect": [21, 22, 23, 24], "markupsaf": [21, 22, 23, 24], "parso": [21, 22, 23, 24], "ptyprocess": [21, 22, 23, 24], "wcwidth": [21, 22, 23, 24], "asttoken": [21, 22, 23, 24], "pure": [21, 22, 23, 24, 32, 42, 799, 817, 821, 826, 832, 836, 839, 840, 855, 861, 862], "eagerli": [21, 22, 26, 27, 31, 32, 33, 40, 799, 848, 849, 850], "lazili": [21, 22, 23, 26, 27, 31, 33, 44, 799, 848, 849, 850], "actual": [21, 31, 802, 806, 807, 813, 819, 822, 823, 825, 826, 827, 829, 832, 833, 838, 840, 856, 861], "occur": [21, 26, 27, 31, 44, 49, 51, 63, 72, 74, 86, 150, 269, 285, 617, 619, 631, 632, 731, 732, 736, 737, 738, 739, 808, 813, 815, 818, 831], "becaus": [21, 29, 31, 41, 52, 368, 390, 758, 805, 806, 808, 809, 810, 811, 812, 814, 815, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 832, 834, 838, 839, 840, 855, 858, 861], "argument": [21, 23, 24, 26, 27, 29, 31, 32, 33, 38, 40, 42, 44, 47, 48, 51, 52, 53, 57, 69, 70, 74, 75, 76, 92, 93, 98, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 337, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 404, 405, 406, 411, 413, 415, 422, 473, 481, 510, 513, 517, 523, 524, 526, 527, 532, 534, 535, 540, 544, 546, 548, 550, 560, 564, 565, 582, 587, 588, 601, 611, 616, 617, 619, 621, 622, 623, 624, 626, 627, 628, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 704, 711, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 771, 776, 779, 780, 781, 788, 792, 795, 799, 804, 807, 808, 809, 810, 811, 812, 816, 817, 820, 822, 827, 829, 830, 832, 834, 836, 837, 842, 844, 848, 849, 850, 855], "altern": [21, 31, 41, 52, 75, 80, 92, 93, 328, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 365, 799, 804, 805, 811, 825, 837, 858], "dummi": [21, 22, 31, 32, 33, 39, 806], "seed": [21, 22, 42, 43, 52, 56, 61, 63, 69, 75, 79, 84, 317, 318, 319, 320, 321, 362, 369, 375, 426, 435, 441, 496, 497, 498, 499, 500, 623, 630, 632, 646, 725, 726, 727, 728, 730, 736, 771, 776, 778, 793, 823, 827, 829], "assum": [21, 22, 31, 32, 33, 48, 51, 52, 53, 56, 57, 58, 74, 75, 76, 79, 80, 81, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 307, 323, 329, 330, 332, 335, 352, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 434, 436, 473, 481, 510, 513, 540, 544, 546, 548, 557, 587, 611, 616, 617, 619, 621, 622, 623, 624, 625, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 683, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 792, 799, 805, 808, 810, 813, 814, 817, 827, 829, 832, 836, 837, 840], "201733": 21, "core": [21, 22, 24, 40, 41, 42, 44, 45, 52, 75, 92, 95, 199, 369, 426, 435, 440, 441, 618, 805, 815, 819, 829, 839, 844, 853, 854, 855, 856, 860, 862], "cpu_feature_guard": [21, 22, 24], "182": [21, 22, 24, 75], "instruct": [21, 22, 24, 69, 98, 799, 804, 805, 808, 818, 820, 827, 829, 841, 853, 856, 859, 861], "critic": [21, 22, 24, 26, 27, 855, 861], "avx2": [21, 22, 24], "fma": [21, 22, 24], "rebuild": [21, 22, 24, 69, 98], "flag": [21, 22, 24, 69, 191, 370, 380, 443, 510, 618, 623, 649, 760, 771, 782, 806, 814, 815, 825, 826, 827, 829, 848, 849], "slowli": [21, 31], "norm": [21, 31, 32, 52, 53, 57, 75, 76, 80, 91, 92, 368, 369, 389, 390, 394, 395, 396, 399, 400, 401, 411, 412, 418, 422, 492, 493, 495, 528, 529, 550, 621, 624, 665, 681, 724, 779, 783, 830], "slow": [21, 31, 801, 805, 811], "34431235": [21, 22], "51129461": [21, 22], "06686894": [21, 22], "36452447": [21, 22], "98795534": [21, 22], "15493582": [21, 22], "91630631": [21, 22], "41939619": [21, 22], "78909753": [21, 22], "19475674": [21, 22], "norm_trac": 21, "float64": [21, 22, 49, 52, 61, 65, 71, 72, 74, 75, 76, 84, 88, 121, 129, 130, 147, 150, 154, 155, 160, 161, 164, 165, 170, 171, 175, 177, 178, 184, 187, 269, 339, 365, 370, 380, 446, 510, 559, 616, 617, 621, 624, 630, 659, 660, 665, 681, 727, 728, 745, 760, 763, 764, 814, 827, 829], "norm_tran": [21, 31], "know": [21, 22, 31, 32, 33, 63, 632, 736, 737, 738, 739, 801, 804, 806, 815, 823, 827, 829, 832, 846, 850, 856], "07": [22, 40, 42, 54, 58, 74, 77, 81, 84, 223, 256, 259, 260, 279, 368, 399, 592, 602, 603, 605, 606, 607, 608, 619, 621, 622, 625, 684, 685, 727, 780, 783, 838], "981554": 22, "happen": [22, 26, 27, 287, 619, 799, 805, 806, 815, 825, 829, 837, 846, 848, 849], "wherea": [22, 33, 75, 368, 413, 806, 809, 812, 814, 815, 816, 821, 822, 829, 839, 852], "subtract": [22, 26, 27, 51, 74, 97, 98, 129, 371, 473, 616, 619, 809, 812, 816], "begin": [22, 52, 75, 279, 371, 457, 473, 474, 475, 476, 477, 619, 628, 705, 716, 763, 805, 808, 813, 827], "filelock": [23, 40], "extens": [23, 40, 51, 57, 74, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 803, 805, 806, 817, 819, 820, 829, 852, 855, 862], "sympi": [23, 845], "fsspec": [23, 40], "mpmath": 23, "scenario": [23, 814, 824], "often": [23, 803, 808, 818, 821, 822, 826, 829, 840, 846, 856, 859, 862], "fortun": [23, 24, 808], "everyth": [23, 41, 792, 799, 804, 805, 806, 807, 813, 816, 825, 826, 827, 829, 835, 840, 841, 846], "practic": [23, 806, 810, 813, 826, 828, 858], "specifi": [23, 24, 26, 27, 31, 32, 33, 44, 46, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 68, 69, 72, 74, 75, 76, 79, 80, 81, 82, 84, 85, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 125, 130, 132, 137, 140, 141, 143, 147, 149, 196, 201, 203, 207, 208, 209, 277, 286, 290, 294, 295, 297, 323, 328, 344, 349, 360, 362, 365, 368, 369, 370, 371, 375, 380, 386, 387, 388, 390, 396, 401, 411, 412, 413, 414, 422, 432, 434, 439, 445, 446, 447, 449, 463, 466, 475, 476, 478, 479, 481, 497, 508, 510, 511, 512, 515, 516, 520, 523, 540, 541, 543, 545, 546, 559, 561, 569, 601, 613, 616, 617, 618, 619, 621, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 635, 649, 652, 654, 656, 657, 659, 660, 665, 673, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 694, 696, 697, 700, 701, 709, 710, 712, 713, 720, 721, 722, 723, 726, 727, 728, 730, 731, 732, 734, 737, 738, 739, 740, 744, 745, 746, 750, 752, 754, 755, 763, 766, 775, 779, 780, 781, 793, 805, 807, 811, 814, 815, 821, 822, 823, 825, 826, 827, 829, 834, 837, 838, 848, 849, 850, 861], "everi": [23, 26, 27, 32, 40, 48, 52, 53, 75, 76, 130, 131, 295, 329, 330, 342, 360, 365, 368, 371, 404, 405, 406, 413, 486, 522, 616, 621, 804, 806, 808, 810, 811, 813, 814, 816, 820, 821, 822, 823, 825, 826, 827, 829, 834, 836, 838, 848, 849, 850, 855], "jax_kornia": [23, 26, 27, 799, 849], "though": [23, 803, 804, 806, 814, 815, 817, 822, 825, 826, 832, 837, 840], "comput": [23, 24, 26, 27, 33, 34, 39, 40, 42, 46, 51, 52, 53, 54, 56, 57, 58, 63, 65, 68, 69, 74, 75, 76, 77, 79, 80, 81, 88, 92, 93, 95, 108, 112, 208, 218, 225, 228, 230, 235, 236, 237, 242, 243, 244, 246, 247, 253, 254, 255, 262, 263, 264, 265, 267, 268, 271, 276, 277, 294, 298, 302, 308, 311, 312, 324, 325, 326, 329, 330, 332, 336, 340, 342, 343, 347, 349, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 378, 380, 386, 387, 388, 389, 390, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 415, 416, 418, 420, 421, 422, 423, 425, 426, 428, 431, 433, 435, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 467, 470, 483, 489, 491, 502, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 527, 528, 529, 573, 595, 602, 604, 605, 607, 611, 612, 618, 619, 621, 622, 623, 624, 625, 626, 628, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 653, 654, 658, 659, 660, 663, 664, 665, 667, 669, 671, 673, 674, 676, 678, 680, 681, 683, 684, 685, 689, 711, 736, 737, 738, 739, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 760, 765, 779, 782, 793, 799, 805, 812, 813, 814, 822, 824, 826, 829, 831, 832, 834, 837, 840, 842, 845, 846, 848, 849, 851, 853, 855, 856, 858, 859, 861], "000000000034": [23, 26, 27, 799, 849], "raw_img": [23, 26, 27, 799, 849], "enhanc": [23, 26, 27, 799, 828, 849], "sharp": [23, 26, 27, 799], "prefer": [23, 26, 27, 242, 619, 799, 805, 812, 818, 819, 823, 826, 841, 855], "leverag": [23, 26, 27, 799, 805, 825, 849, 853, 855], "whole": [24, 52, 75, 371, 374, 480, 492, 493, 495, 806, 811, 820], "full": [24, 52, 57, 75, 79, 80, 92, 93, 95, 160, 247, 255, 317, 318, 319, 320, 321, 362, 369, 370, 371, 439, 440, 445, 446, 474, 477, 567, 576, 590, 598, 616, 617, 619, 621, 623, 624, 638, 640, 641, 642, 644, 667, 671, 673, 674, 764, 771, 799, 805, 806, 811, 814, 817, 818, 821, 822, 826, 829, 832, 834, 840, 845, 846, 853, 855, 861], "advantag": [24, 26, 27, 799, 805, 806, 814, 825, 826, 841, 849, 855], "complex": [24, 26, 27, 40, 46, 51, 52, 57, 65, 68, 72, 74, 75, 80, 88, 105, 106, 107, 108, 109, 110, 111, 112, 113, 137, 138, 153, 167, 176, 182, 215, 216, 217, 218, 219, 220, 221, 224, 232, 233, 235, 236, 238, 240, 248, 249, 250, 251, 252, 256, 257, 258, 259, 268, 270, 271, 273, 275, 278, 279, 280, 281, 282, 285, 286, 290, 294, 295, 297, 332, 337, 360, 365, 368, 369, 380, 390, 401, 411, 412, 416, 421, 422, 423, 432, 434, 518, 519, 579, 580, 613, 616, 617, 619, 621, 624, 631, 634, 658, 659, 660, 665, 672, 674, 676, 678, 681, 734, 749, 750, 752, 764, 775, 793, 804, 811, 814, 816, 823, 826, 829, 830, 832, 837, 838, 839, 840, 842, 849, 851, 853, 855, 857, 861, 862], "neccessari": 24, "set_random_se": [24, 43], "manual_se": 24, "301436": 24, "_c": 24, "0x7f252c392390": 24, "convolut": [24, 52, 56, 75, 79, 368, 388, 406, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 765, 779, 849, 853, 855], "flatten": [24, 26, 27, 40, 42, 45, 52, 53, 57, 59, 62, 63, 75, 76, 80, 82, 85, 86, 334, 349, 365, 369, 371, 380, 419, 462, 472, 476, 481, 482, 486, 508, 515, 516, 517, 518, 519, 520, 533, 537, 621, 624, 626, 631, 632, 661, 669, 681, 687, 692, 694, 731, 732, 736, 737, 738, 739, 758, 760, 799, 825, 832], "keyword": [24, 26, 27, 42, 44, 47, 48, 52, 69, 75, 98, 134, 269, 368, 371, 380, 415, 473, 510, 524, 527, 560, 588, 616, 619, 621, 624, 628, 634, 675, 711, 752, 758, 760, 764, 780, 781, 792, 804, 809, 812, 814, 815, 823, 825, 826, 827, 829, 830, 832, 837, 848, 849, 850], "input_arrai": [24, 26, 27, 825], "torch_model": [24, 26, 27, 44], "159": [24, 68, 105, 613, 623, 647], "state_upd": 24, "properti": [24, 69, 92, 93, 94, 95, 96, 97, 101, 781, 783, 808, 812, 822, 827, 829, 836, 837, 838, 861], "_transpil": 24, "thank": [24, 837, 845], "fledg": [24, 805, 834, 835], "rand": [24, 26, 27, 42, 792, 793, 799, 848], "output_arrai": [24, 26, 27, 52, 443], "0893": 24, "1504": 24, "1372": 24, "0991": 24, "0867": 24, "0851": 24, "0911": 24, "0804": 24, "0926": 24, "0881": 24, "softmaxbackward0": 24, "furthermor": 24, "relat": [24, 242, 619, 799, 801, 803, 804, 805, 806, 811, 818, 826, 829, 830, 831, 832, 849, 858], "interest": [24, 26, 38, 235, 268, 619, 804, 806], "continu": [24, 26, 27, 42, 120, 282, 290, 360, 615, 619, 799, 803, 804, 805, 807, 808, 819, 825, 828, 829, 840, 845, 846, 855], "regress": [25, 855, 862], "checkout": [26, 41, 806, 808, 829], "f705efe7cb5d18df17ce6c1e20f04d0eb4933f48": 26, "theoret": 26, "aspect": [26, 27, 800, 824, 837, 855], "switch": [26, 38, 771, 810, 818, 822, 823, 862], "easiest": [26, 799, 801, 805, 841], "defer": [26, 27, 804, 809, 814, 815, 822, 825, 826, 829, 861], "similarli": [26, 39, 134, 142, 218, 322, 329, 330, 362, 365, 616, 619, 810, 814, 826, 832, 836, 861], "obtain": [26, 27, 45, 52, 75, 313, 362, 368, 407, 623, 649, 765, 826, 848], "essenc": [26, 856, 861], "becom": [26, 52, 75, 92, 339, 365, 371, 453, 626, 686, 788, 806, 812, 814, 816, 818, 825, 840, 844, 846, 848], "regardless": [26, 27, 38, 69, 800, 814, 818, 836, 839, 846], "being": [26, 27, 38, 52, 69, 75, 90, 97, 101, 121, 369, 371, 430, 457, 473, 574, 616, 621, 624, 660, 760, 766, 778, 799, 805, 806, 808, 809, 810, 812, 814, 815, 816, 819, 821, 823, 825, 826, 827, 829, 830, 832, 834, 837, 840, 845, 846, 851, 853, 854, 855, 856, 861, 862], "slide": [26, 52, 56, 75, 79, 368, 386, 387, 388, 404, 405, 406, 407, 410, 414, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779], "A": [26, 27, 41, 48, 49, 52, 53, 59, 61, 65, 66, 69, 72, 74, 75, 76, 79, 80, 82, 84, 86, 89, 92, 93, 98, 117, 118, 120, 127, 135, 142, 148, 189, 208, 270, 272, 276, 307, 318, 322, 324, 325, 326, 328, 341, 344, 348, 349, 362, 365, 368, 369, 370, 371, 374, 375, 380, 383, 396, 410, 413, 415, 422, 433, 436, 443, 447, 458, 461, 479, 483, 484, 489, 490, 491, 492, 496, 497, 498, 499, 500, 508, 517, 520, 525, 527, 536, 545, 548, 549, 579, 580, 581, 584, 612, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 628, 630, 634, 635, 646, 649, 657, 659, 662, 663, 668, 669, 673, 674, 686, 689, 691, 695, 697, 705, 708, 710, 712, 713, 714, 715, 716, 720, 721, 722, 723, 725, 726, 727, 728, 730, 736, 746, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 778, 793, 797, 799, 803, 804, 805, 807, 812, 814, 815, 818, 821, 822, 826, 827, 829, 834, 837, 840, 841, 842, 843, 844, 845, 846, 848, 849, 850, 855, 856], "regressor": [26, 27, 799], "input_dim": [26, 27, 41, 799], "output_dim": [26, 27, 41, 799], "linear0": [26, 27, 38, 799, 837, 838], "linear1": [26, 27, 38, 799, 837, 838], "instanti": [26, 27, 771, 817], "adam": [26, 27, 38, 42, 54, 77, 524, 602, 603, 608, 621, 622, 783, 799, 837, 838, 839, 855], "n_training_exampl": [26, 27, 799], "2000": [26, 27, 75, 308, 362, 799], "random_norm": [26, 27, 56, 57, 61, 79, 80, 84, 533, 621, 623, 624, 630, 638, 640, 641, 642, 644, 645, 648, 674, 799], "linspac": [26, 27, 48, 71, 121, 616, 799, 821, 832, 834, 862], "loss_fn": [26, 27, 38, 40, 42, 799, 837, 838, 839], "pred": [26, 27, 41, 42, 52, 58, 75, 81, 370, 442, 445, 625, 683, 684, 685, 799, 812, 822, 825], "epoch": [26, 27, 40, 42, 799], "loss": [26, 27, 40, 42, 52, 75, 92, 442, 443, 444, 445, 446, 447, 448, 573, 595, 621, 683, 684, 685, 799, 813, 814, 822, 826, 830, 831, 837, 838, 839, 855, 862], "gradient": [26, 27, 40, 42, 52, 75, 92, 208, 357, 365, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 618, 627, 702, 703, 704, 760, 771, 783, 799, 807, 830, 837, 838, 840, 855], "grad": [26, 27, 38, 42, 602, 622, 783, 799, 824, 837, 838, 839], "execute_with_gradi": [26, 27, 38, 42, 622, 799, 837, 838, 839, 840], "lambda": [26, 27, 43, 45, 75, 118, 120, 292, 301, 532, 604, 605, 607, 612, 615, 621, 622, 624, 628, 659, 712, 713, 717, 799, 804, 822, 823, 824, 827, 832, 834, 837], "2d": [26, 27, 42, 52, 75, 92, 307, 362, 368, 369, 371, 380, 383, 384, 391, 392, 432, 439, 452, 462, 510, 779, 799, 826, 832], "5f": [26, 27, 799], "nonetheless": [26, 27], "slight": [26, 27, 814, 829, 838], "introduc": [26, 27, 242, 619, 626, 632, 694, 736, 804, 812, 813, 814, 823, 827, 829, 832, 837, 844], "address": [26, 27, 52, 53, 75, 371, 481, 586, 621, 804, 806, 808, 809, 821, 828, 834, 846, 851, 853, 855, 861], "extract": [26, 27, 34, 41, 52, 75, 93, 371, 456, 482, 826, 828, 830, 851, 855, 856, 861], "gc": [26, 27, 545, 621], "decompos": [26, 27, 52, 75, 92, 95, 317, 318, 319, 320, 321, 341, 348, 362, 365, 369, 430, 435, 438, 441, 826, 839], "said": [26, 27, 765, 830, 846, 848], "otherwis": [26, 27, 44, 47, 48, 49, 51, 52, 53, 56, 57, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 121, 123, 124, 129, 131, 132, 133, 136, 138, 144, 147, 148, 150, 151, 153, 154, 155, 156, 157, 166, 170, 174, 175, 191, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 300, 301, 303, 304, 305, 307, 317, 318, 319, 320, 321, 328, 329, 330, 331, 332, 334, 335, 336, 343, 344, 350, 352, 354, 355, 356, 360, 362, 365, 368, 369, 374, 386, 387, 388, 391, 392, 393, 411, 424, 437, 439, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 463, 464, 465, 472, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 509, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 579, 580, 582, 584, 586, 587, 588, 600, 604, 606, 611, 615, 616, 617, 618, 619, 621, 622, 623, 624, 627, 628, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 655, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 674, 678, 680, 681, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 718, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 763, 764, 779, 781, 782, 788, 799, 806, 809, 812, 814, 815, 816, 822, 823, 825, 829, 834, 841, 848, 849], "x0": [26, 27, 45, 76, 525, 621, 816], "normalize_trac": [26, 27], "html": [26, 27, 41, 51, 52, 74, 75, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 634, 672, 673, 701, 751, 799, 817, 845], "fname": [26, 27, 43, 45, 781, 837], "anticip": [26, 27], "addition": [26, 27, 812, 825, 826, 861], "backend_compil": [26, 27], "normalize_native_comp": [26, 27], "return_backend_compiled_fn": 26, "immedi": [26, 27, 804, 805], "built": [26, 27, 32, 40, 42, 45, 121, 616, 779, 780, 781, 799, 805, 806, 811, 812, 829, 835, 841, 848, 854, 855, 859], "summar": [26, 27, 92, 829], "eager_graph": [26, 27, 799, 848, 849], "lazy_graph": [26, 27, 799, 848, 849], "codebas": [26, 27, 206, 207, 618, 800, 807, 814, 820, 825, 826, 828, 829, 830, 833, 846], "thought": [26, 27, 805, 806, 821, 845, 853], "research": [26, 27, 40, 799, 844, 849, 855, 862], "wa": [26, 27, 32, 41, 52, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 95, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 351, 352, 354, 355, 356, 362, 365, 369, 391, 392, 393, 411, 440, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 588, 600, 606, 611, 619, 621, 628, 634, 635, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 788, 799, 801, 806, 808, 810, 811, 813, 816, 822, 824, 826, 834, 836, 845, 848, 849, 854, 855, 857], "No": [26, 27, 40, 52, 58, 75, 81, 370, 443, 444, 445, 447, 448, 625, 683, 806, 813, 814, 855], "matter": [26, 27, 32, 816, 844], "job": [26, 27, 799, 811, 813, 849], "haven": [26, 27, 32, 841, 855], "jax_out": [26, 27], "ideal": [26, 27, 813, 814, 826, 832, 837], "But": [26, 27, 765, 812, 813, 817, 820, 823, 832, 839], "bring": [26, 27, 808, 828, 829, 834, 835, 842, 845], "wise": [26, 46, 51, 52, 57, 68, 74, 75, 80, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 215, 216, 218, 219, 220, 222, 223, 225, 226, 227, 228, 229, 230, 234, 235, 236, 237, 239, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 263, 264, 265, 266, 267, 268, 271, 273, 274, 276, 277, 284, 289, 290, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 328, 331, 336, 338, 339, 340, 343, 344, 345, 346, 350, 351, 354, 355, 360, 365, 368, 369, 371, 391, 392, 393, 420, 427, 460, 467, 469, 470, 488, 613, 619, 626, 654, 686, 783, 832], "vision": [26, 27, 45, 851, 861], "worth": [26, 27], "differenti": [26, 27, 290, 358, 359, 360, 367, 855], "chosen": [26, 27, 45, 95, 121, 223, 616, 619, 631, 735, 804, 813, 826], "plai": [26, 27, 370, 445, 799, 805, 809, 815, 819, 826, 829, 839, 855, 858], "role": [26, 27, 799, 806, 815, 826, 835, 856, 858, 862], "dl": [26, 27], "cnn": [26, 27, 855], "effortlessli": [26, 27], "previous": [26, 27, 590, 621, 788, 805, 810, 822, 824, 829, 834], "pre": [26, 27, 799, 802, 804, 828, 829, 839, 840, 841, 855], "default_devic": [26, 27, 201, 204, 205, 206, 212, 213, 618, 815, 818, 819], "as_n": [26, 27, 49, 50, 69, 72, 73, 153, 154, 155, 156, 157, 158, 164, 191, 192, 204, 617, 618, 814], "certainli": [26, 27, 799, 845, 861], "upon": [26, 27, 44, 806, 816, 825, 829, 832, 840, 854, 855], "unnecessari": [26, 27, 826], "extend": [26, 27, 52, 75, 371, 380, 473, 513, 810, 811, 814, 817, 818, 821, 826, 830, 840, 852, 855, 861], "infrastructur": [26, 27, 799, 851, 857, 858], "least": [26, 51, 52, 57, 74, 75, 235, 253, 268, 368, 371, 380, 395, 400, 451, 452, 453, 462, 464, 510, 619, 624, 631, 664, 734, 799, 806, 809, 813, 814, 815, 816, 822, 825, 829, 849], "coco": 26, "seamlessli": [27, 829], "benefit": [27, 799, 805, 809, 812, 825, 832, 836, 837, 840, 845, 846, 853, 857, 860], "through": [27, 32, 40, 52, 75, 95, 223, 380, 516, 517, 619, 628, 708, 714, 781, 792, 799, 800, 802, 803, 804, 806, 807, 810, 811, 812, 813, 815, 816, 818, 819, 820, 822, 823, 825, 826, 827, 829, 831, 832, 833, 834, 837, 838, 839, 848, 853, 855, 856, 857], "therefor": [27, 32, 48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 174, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 466, 473, 474, 476, 481, 485, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 806, 808, 809, 812, 813, 814, 815, 816, 817, 818, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 838, 840, 844, 852, 855, 861], "wide": [27, 799, 806, 829, 853, 855], "prepar": [27, 40, 42, 45, 799, 813], "plenti": 27, "resourc": [27, 800, 804, 805, 813], "visit": [27, 804, 805, 806, 813], "page": [27, 799, 804, 805, 806, 811, 813, 819, 835, 836, 839, 841, 850], "newli": [28, 29, 41, 43, 49, 72, 147, 527, 617, 621, 806, 813, 825, 829], "randon": [28, 29, 31, 32, 33], "mean_": 28, "std_": 28, "detect": [28, 32, 51, 69, 74, 250, 619, 628, 705, 716, 804, 805, 810, 812, 813, 820, 829, 837, 838], "inspect": [28, 32, 523, 621], "__": [28, 29, 30, 31, 32, 33, 69, 816, 837], "exhibit": [29, 861], "via": [29, 32, 242, 369, 371, 435, 438, 441, 481, 619, 628, 715, 716, 806, 808, 812, 814, 815, 825, 830, 832, 834, 836, 837, 855], "script": [29, 799, 805, 806, 808, 813, 816, 834, 840, 855], "comp": 29, "low_level": 29, "chain": [29, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 457, 458, 479, 481, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 627, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 707, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 784, 809, 812, 824, 826, 838, 839, 840, 855], "un": [29, 165, 617, 814, 834], "partial_comp": 29, "time_funct": 29, "slowest": [29, 52, 59, 75, 82, 371, 463, 626, 693], "express": [29, 51, 52, 74, 75, 93, 216, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 619, 785, 793, 817, 826, 834, 839, 855, 856], "fastest": [29, 52, 59, 75, 82, 369, 371, 433, 463, 626, 693], "maxim": [29, 822, 825, 834, 852, 853, 857, 858, 859], "conclud": [30, 830], "collect": [30, 40, 42, 44, 45, 47, 69, 70, 613, 618, 621, 622, 623, 625, 628, 629, 630, 718, 775, 779, 780, 781, 782, 783, 805, 813, 818, 819, 823, 824, 827, 829, 853, 855, 858], "norm_comp": [31, 32], "global": [31, 32, 42, 53, 69, 76, 98, 153, 154, 155, 156, 157, 206, 207, 208, 570, 571, 574, 579, 580, 592, 593, 596, 617, 618, 621, 771, 782, 788, 805, 809, 810, 813, 814, 815, 818, 822, 826, 834, 855], "approach": [31, 802, 804, 805, 806, 809, 812, 814, 815, 819, 822, 826, 829, 830, 832, 836, 837, 840, 852, 859, 861], "b": [32, 46, 51, 52, 53, 56, 57, 65, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 96, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 122, 123, 124, 129, 130, 131, 133, 136, 138, 144, 147, 148, 149, 150, 158, 168, 170, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 375, 378, 380, 386, 387, 388, 389, 391, 392, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 417, 420, 422, 424, 428, 433, 436, 441, 442, 444, 445, 446, 447, 451, 452, 453, 454, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 479, 481, 482, 483, 484, 487, 488, 493, 495, 497, 498, 500, 501, 503, 510, 511, 512, 513, 515, 517, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 579, 580, 582, 586, 587, 600, 602, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 792, 793, 799, 800, 802, 806, 807, 808, 810, 812, 813, 816, 819, 822, 824, 827, 833, 834, 835, 837, 838, 839, 843, 846, 848, 851], "option": [32, 41, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 163, 165, 175, 187, 191, 203, 206, 207, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 456, 457, 458, 459, 461, 463, 464, 465, 466, 467, 468, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 531, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 569, 579, 580, 582, 584, 586, 587, 588, 600, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 711, 712, 716, 717, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 764, 771, 775, 776, 778, 779, 781, 783, 784, 792, 797, 804, 805, 806, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 825, 826, 827, 829, 830, 832, 834, 839, 840, 848, 849, 850, 855, 861], "prioriti": [32, 69, 788, 804, 806, 815, 825], "normalize_via_oper": 32, "determin": [32, 51, 52, 57, 59, 63, 66, 69, 74, 75, 76, 80, 87, 89, 92, 95, 97, 98, 127, 150, 152, 159, 165, 166, 167, 168, 170, 171, 172, 187, 197, 199, 200, 211, 216, 217, 218, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 232, 233, 235, 238, 240, 242, 248, 249, 250, 251, 252, 256, 257, 258, 259, 260, 265, 268, 273, 277, 280, 281, 282, 283, 284, 285, 286, 289, 298, 302, 347, 352, 360, 365, 368, 369, 370, 371, 380, 403, 411, 422, 442, 481, 510, 522, 525, 546, 547, 551, 552, 553, 554, 555, 556, 582, 600, 616, 617, 618, 619, 621, 624, 626, 627, 632, 635, 653, 654, 655, 657, 661, 662, 664, 666, 667, 669, 670, 672, 673, 678, 680, 681, 687, 702, 703, 704, 736, 737, 738, 739, 740, 754, 755, 765, 771, 778, 782, 812, 814, 815, 817, 822, 826, 829, 831, 832, 844], "think": [32, 804, 806, 813, 816, 832, 856], "uniqu": [32, 42, 52, 53, 63, 75, 76, 86, 368, 369, 371, 415, 436, 472, 473, 486, 557, 621, 627, 628, 632, 702, 703, 704, 707, 711, 736, 737, 738, 739, 765, 799, 804, 808, 812, 822, 826, 827, 828, 832, 840, 844, 858], "rule": [32, 49, 51, 52, 57, 72, 74, 75, 80, 147, 150, 173, 174, 175, 224, 235, 268, 270, 277, 279, 287, 289, 368, 371, 380, 411, 461, 510, 617, 619, 624, 626, 653, 654, 661, 666, 669, 673, 687, 765, 792, 808, 809, 812, 813, 814, 816, 820, 821, 822, 824, 829, 832, 856], "broadcast": [32, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 333, 334, 337, 339, 341, 343, 345, 346, 347, 348, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 416, 418, 419, 427, 428, 431, 432, 434, 442, 443, 444, 445, 447, 448, 454, 458, 461, 466, 474, 475, 476, 477, 479, 481, 483, 485, 489, 492, 493, 495, 496, 497, 499, 500, 510, 511, 512, 513, 516, 517, 518, 519, 520, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 673, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 792, 812, 814, 816, 817, 818, 829, 830, 834], "elementwis": [32, 52, 60, 75, 83, 294, 296, 355, 360, 624, 629, 679, 724, 822, 830, 834], "must": [32, 40, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 319, 320, 323, 324, 325, 326, 329, 330, 331, 332, 333, 335, 337, 339, 341, 343, 345, 346, 347, 348, 352, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 378, 380, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 414, 416, 418, 419, 421, 427, 428, 431, 432, 433, 434, 439, 442, 443, 444, 445, 447, 448, 451, 452, 453, 458, 459, 461, 463, 464, 465, 466, 468, 472, 474, 475, 476, 477, 479, 481, 482, 483, 485, 487, 492, 493, 495, 496, 497, 499, 500, 503, 510, 511, 512, 513, 520, 528, 529, 533, 534, 535, 540, 541, 543, 550, 564, 565, 601, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 778, 779, 783, 785, 803, 804, 805, 806, 808, 809, 813, 814, 815, 816, 817, 818, 821, 822, 823, 825, 826, 829, 830, 831, 832, 834, 838, 839, 844, 846, 849, 850, 856, 862], "taken": [32, 52, 57, 75, 80, 335, 365, 368, 412, 624, 657, 678, 804, 813, 826, 830, 839, 856], "account": [32, 42, 44, 52, 59, 75, 82, 282, 371, 463, 619, 626, 693, 778, 792, 805, 813, 817, 826, 830, 848], "rather": [32, 53, 69, 76, 121, 208, 552, 553, 556, 616, 618, 621, 802, 806, 808, 812, 814, 817, 819, 826, 827, 829, 830, 839, 840, 845, 851, 854, 855], "fact": [32, 92, 806, 808, 813, 826, 829, 834, 837], "consum": [32, 760, 812, 813, 821, 827, 829], "thrown": [32, 550, 621, 805, 809, 815, 818, 820, 840], "doesn": [32, 550, 568, 621, 758, 779, 804, 805, 810, 812, 813, 814, 815, 816, 819, 820, 822, 824, 829, 832, 834, 840, 848, 853], "consider": [32, 804, 816, 821, 832, 844, 852, 853], "effect": [32, 48, 52, 54, 65, 75, 77, 88, 134, 370, 403, 445, 602, 610, 616, 622, 623, 634, 649, 751, 753, 763, 766, 804, 809, 812, 813, 817, 821, 825, 827, 832, 840, 845], "explain": [32, 52, 75, 368, 401, 412, 799, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 817, 818, 819, 820, 821, 822, 824, 825, 826, 829, 830, 832, 834, 835, 836, 837, 838, 839, 851, 858, 861], "necessari": [32, 48, 52, 71, 75, 82, 123, 235, 268, 371, 451, 452, 453, 459, 461, 462, 463, 464, 465, 472, 487, 573, 595, 619, 621, 689, 690, 691, 693, 695, 696, 698, 700, 799, 804, 805, 809, 810, 812, 814, 816, 825, 826, 829, 831, 832, 848, 849], "standalon": [33, 804, 809, 829, 842, 851, 856, 861, 862], "dynam": [33, 626, 693, 781, 788, 807, 813, 814, 815, 825, 826, 831, 834, 848, 855, 859], "static": [33, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 101, 102, 124, 313, 368, 388, 401, 406, 415, 435, 441, 479, 490, 582, 616, 623, 649, 669, 776, 781, 826, 831, 840, 854, 855, 856], "flow": [34, 812, 848, 855, 856], "statement": [34, 39, 813, 825, 829, 832, 840, 848, 849], "opposit": 34, "exclud": [34, 65, 75, 88, 121, 142, 322, 362, 511, 512, 616, 630, 728, 744, 763, 766, 788, 816, 834, 848], "todo": [35, 36, 37, 42, 45, 75, 512, 804, 814, 826], "aim": [38, 802, 806, 808, 819, 823, 826, 829, 833, 853, 855, 858], "interfac": [38, 71, 129, 616, 836, 839, 840, 842, 845, 851, 852, 853, 854, 855, 859, 862], "set_framework": [38, 45], "44": [38, 42, 51, 52, 61, 74, 75, 84, 221, 268, 278, 282, 283, 333, 365, 368, 388, 389, 619, 623, 624, 628, 631, 634, 646, 669, 713, 726, 727, 735, 746], "45": [38, 40, 42, 51, 52, 65, 74, 75, 77, 79, 84, 98, 219, 223, 235, 278, 279, 337, 350, 365, 368, 380, 389, 399, 410, 511, 517, 602, 608, 619, 622, 624, 626, 634, 669, 695, 727, 728, 746, 763], "46": [38, 40, 42, 52, 61, 75, 79, 84, 133, 258, 279, 308, 362, 368, 387, 405, 406, 616, 619, 628, 706, 726, 727], "underneath": [38, 813, 853], "sai": [38, 804, 805, 819, 823, 836, 846], "clip": [38, 51, 52, 59, 74, 75, 76, 82, 266, 267, 371, 456, 481, 482, 528, 529, 619, 621, 626, 812, 822, 824, 825, 837, 839], "a_min": 38, "a_max": 38, "tensforflow": 38, "clip_by_valu": [38, 839], "clip_value_min": 38, "clip_value_max": 38, "clamp": [38, 52, 75, 294, 360, 839], "min": [38, 42, 49, 52, 53, 57, 65, 72, 75, 76, 80, 88, 140, 142, 160, 163, 267, 322, 325, 330, 362, 365, 369, 371, 422, 478, 518, 534, 564, 565, 579, 616, 617, 619, 621, 624, 634, 665, 671, 674, 675, 681, 799], "max": [38, 40, 49, 52, 53, 57, 65, 72, 75, 76, 80, 88, 160, 163, 266, 329, 365, 368, 369, 371, 386, 387, 388, 404, 405, 406, 407, 409, 411, 422, 478, 480, 481, 528, 529, 534, 550, 564, 565, 617, 619, 621, 624, 634, 665, 667, 670, 763, 779, 783, 813, 826], "49": [38, 42, 52, 61, 75, 79, 80, 282, 368, 369, 380, 389, 399, 410, 433, 511, 619, 634, 679, 727, 746], "devicearrai": [38, 809, 826, 834, 836], "concaten": [38, 52, 53, 59, 75, 80, 371, 458, 533, 537, 621, 623, 626, 649, 669, 687, 763, 827, 832, 834, 837], "accept": [38, 47, 48, 51, 52, 57, 70, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 336, 357, 362, 365, 367, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 804, 805, 806, 809, 812, 814, 815, 816, 817, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 836, 842, 853], "jax_concat": 38, "tf_concat": 38, "np_concat": 38, "torch_concat": 38, "85": [38, 46, 52, 61, 68, 74, 75, 77, 79, 84, 98, 107, 220, 229, 230, 274, 290, 291, 293, 360, 380, 511, 579, 606, 613, 619, 621, 622, 623, 630, 647, 726, 727, 728], "mymodel": [38, 837], "x_in": [38, 837, 838, 839], "reduce_mean": [38, 799, 837, 838, 839], "91": [38, 52, 79, 84, 353, 365, 410, 623, 624, 630, 634, 647, 669, 727, 746], "49040043354034424": 38, "48975786566734314": 38, "4892795979976654": 38, "48886892199516296": 38, "4884953498840332": 38, "4881443977355957": 38, "4878086447715759": 38, "48748287558555603": 38, "48716384172439575": 38, "48684927821159363": 38, "48653748631477356": 38, "48622724413871765": 38, "4859171509742737": 38, "48560672998428345": 38, "48529526591300964": 38, "4849821627140045": 38, "48466697335243225": 38, "4843493402004242": 38, "4840289056301117": 38, "4837053418159485": 38, "4833785891532898": 38, "4830484390258789": 38, "48271444439888": 38, "48237672448158264": 38, "48203518986701965": 38, "48168954253196716": 38, "4813397228717804": 38, "4809857904911041": 38, "48062753677368164": 38, "48026490211486816": 38, "479898065328598": 38, "47952669858932495": 38, "4791509211063385": 38, "4787706732749939": 38, "47838595509529114": 38, "4779967665672302": 38, "47760307788848877": 38, "4772048890590668": 38, "47680220007896423": 38, "47639501094818115": 38, "47598329186439514": 38, "4755673110485077": 38, "4751465618610382": 38, "4747215211391449": 38, "4742920398712158": 38, "47385817766189575": 38, "47341999411582947": 38, "47297725081443787": 38, "4725303053855896": 38, "47207894921302795": 38, "47162333130836487": 38, "47116345167160034": 38, "470699280500412": 38, "47023090720176697": 38, "54": [38, 49, 51, 56, 74, 75, 79, 84, 163, 232, 233, 238, 253, 282, 288, 308, 362, 368, 380, 389, 399, 511, 619, 623, 624, 634, 647, 666, 669, 726, 727, 728, 746, 813, 816], "4697583019733429": 38, "55": [38, 46, 75, 84, 113, 229, 288, 380, 511, 548, 619, 621, 624, 630, 634, 662, 669, 727, 728, 746, 808], "46928152441978455": 38, "46880054473876953": 38, "4683155119419098": 38, "58": [38, 259, 528, 619, 621], "4678264260292053": 38, "59": [38, 51, 230, 380, 511], "46733325719833374": 38, "46683603525161743": 38, "61": [38, 40, 51, 52, 57, 74, 75, 77, 81, 84, 221, 256, 258, 283, 389, 602, 619, 622, 623, 624, 625, 645, 661, 683, 685, 728, 819], "4663347601890564": 38, "4658295214176178": 38, "465320348739624": 38, "4648073613643646": 38, "46429020166397095": 38, "4637692868709564": 38, "46324464678764343": 38, "4627160429954529": 38, "4621836841106415": 38, "4616474211215973": 38, "71": [38, 51, 74, 79, 234, 274, 410, 619], "46110764145851135": 38, "72": [38, 52, 61, 75, 77, 240, 342, 365, 368, 389, 399, 606, 619, 622, 624, 634, 669, 727, 746], "460563987493515": 38, "4600166976451874": 38, "74": [38, 40, 51, 84, 230, 260, 619, 624, 666], "45946577191352844": 38, "45891112089157104": 38, "45835286378860474": 38, "4577910006046295": 38, "78": [38, 54, 279, 608, 619, 622, 624, 630, 634, 669, 727, 746], "45722562074661255": 38, "79": [38, 40, 52, 53, 75, 76, 79, 84, 97, 235, 368, 389, 399, 410, 528, 529, 619, 621, 728], "45665669441223145": 38, "80": [38, 52, 75, 342, 365, 369, 380, 433, 511, 624, 628, 634, 669, 716, 746, 845], "4560841917991638": 38, "81": [38, 42, 51, 57, 72, 74, 80, 84, 163, 233, 258, 259, 283, 380, 511, 617, 619, 624, 628, 630, 634, 661, 666, 679, 713, 728, 746, 829], "4555082619190216": 38, "45492875576019287": 38, "45434585213661194": 38, "84": [38, 56, 65, 74, 84, 163, 193, 258, 617, 618, 624, 629, 634, 647, 669, 724, 727, 728, 746], "45375964045524597": 38, "4531698524951935": 38, "4525766670703888": 38, "45198020339012146": 38, "4513803720474243": 38, "4507772624492645": 38, "4501707851886749": 38, "4495610296726227": 38, "4489481747150421": 38, "44833192229270935": 38, "4477125108242035": 38, "44708991050720215": 38, "44646409153938293": 38, "44583529233932495": 38, "98": [38, 46, 52, 54, 61, 68, 74, 77, 84, 108, 233, 281, 353, 365, 606, 613, 622, 624, 628, 631, 634, 669, 706, 717, 726, 728, 735, 746], "4452032148838043": 38, "44456806778907776": 38, "4439": 38, "selectbackward0": 38, "hope": [38, 840, 845, 861], "ivy_compil": 39, "ic": 39, "produc": [39, 52, 53, 56, 75, 79, 296, 306, 309, 360, 362, 368, 415, 623, 652, 763, 793, 804, 814, 819, 820, 825, 827, 829, 830, 848, 856, 858], "numer": [39, 48, 49, 51, 52, 53, 57, 61, 62, 65, 72, 74, 75, 76, 80, 84, 85, 87, 97, 98, 134, 147, 215, 218, 231, 235, 240, 241, 242, 249, 250, 251, 254, 263, 264, 268, 270, 271, 272, 273, 277, 278, 279, 283, 284, 288, 289, 368, 370, 375, 380, 411, 443, 497, 510, 570, 571, 579, 580, 592, 593, 616, 617, 619, 621, 624, 630, 631, 634, 654, 661, 664, 669, 672, 674, 676, 678, 680, 726, 727, 728, 730, 731, 732, 734, 735, 740, 747, 750, 752, 763, 764, 765, 766, 778, 802, 814, 819, 824, 826, 827, 829, 830, 831, 832, 834, 838, 852, 855, 861], "anyth": [39, 52, 75, 380, 516, 517, 806, 818, 829, 830, 855, 856], "affect": [39, 45, 52, 370, 446, 813, 826], "intermedi": [39, 853, 854, 855, 856, 861], "variabl": [39, 41, 42, 44, 52, 53, 54, 60, 69, 75, 76, 77, 83, 117, 118, 120, 316, 362, 368, 369, 375, 380, 413, 437, 498, 509, 510, 526, 550, 551, 552, 553, 556, 582, 603, 604, 606, 608, 609, 610, 615, 621, 622, 624, 627, 629, 673, 702, 703, 704, 724, 760, 771, 776, 778, 779, 780, 781, 782, 783, 784, 806, 810, 814, 817, 821, 824, 825, 829, 830, 834, 837, 838, 839, 840, 841, 848, 856], "original_fn": 39, "100000": 39, "var": [39, 65, 88, 90, 117, 118, 119, 120, 615, 627, 634, 702, 703, 785, 805, 816, 834], "co": [39, 40, 51, 53, 74, 233, 238, 240, 281, 537, 619, 621, 803, 814, 834, 845], "sin": [39, 51, 53, 74, 233, 238, 240, 281, 537, 619, 621, 809, 834], "tan": [39, 51, 74, 524, 619, 621, 817, 821, 822, 825, 826, 834], "comp_fn": 39, "compile_graph": [39, 45], "expected_result": 39, "compiled_result": 39, "irrelev": [39, 813, 814, 816], "opeat": 39, "_layer": [39, 834], "net": [39, 44, 45, 834, 839, 845, 846], "compiled_net": 39, "proceed": 40, "latest": [40, 42, 51, 52, 74, 75, 150, 238, 248, 249, 264, 329, 330, 365, 368, 371, 380, 411, 413, 481, 510, 617, 619, 624, 626, 634, 672, 673, 701, 751, 779, 799, 804, 805, 806, 808, 810, 813, 817, 819, 830, 840, 841, 849, 860], "pypi": [40, 42, 45, 804, 805, 830, 840], "pkg": [40, 42, 45], "public": [40, 42, 45, 530, 621, 813, 824, 836, 858], "revis": [40, 42, 806], "tmp": [40, 42, 577, 599, 621], "req": [40, 42], "tabqrujw": 40, "command": [40, 42, 799, 801, 805, 808, 811, 813, 819, 820, 841], "filter": [40, 42, 44, 52, 56, 75, 79, 311, 312, 362, 368, 388, 406, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 765, 779, 799, 810, 813], "quiet": [40, 42], "commit": [40, 42, 802, 804, 808, 816, 828, 829], "f3be3702c9fab1c9fa97c743813a4bdb39525705": 40, "metadata": [40, 42, 45, 825], "setup": [40, 42, 45, 805, 806, 811, 813, 819], "done": [40, 42, 45, 624, 660, 803, 804, 805, 806, 808, 811, 813, 815, 816, 819, 820, 825, 826, 829, 837, 848, 849, 855], "py3": [40, 42, 45], "whl": [40, 41, 42, 45], "cp39": [40, 42], "manylinux_2_12_x86_64": [40, 42], "manylinux2010_x86_64": [40, 42], "manylinux_2_17_x86_64": [40, 42, 805], "manylinux2014_x86_64": [40, 41, 42], "eta": [40, 42, 45], "tar": [40, 41, 42, 45], "gz": [40, 41, 42, 45], "py2": [40, 42], "495": [40, 42], "nvidia_ml_pi": [40, 42], "pypars": [40, 42, 45], "ivy_cor": [40, 42, 45, 805], "1338326": 40, "sha256": [40, 42, 45], "e5c4205c80116b781373daf4502d61881235c5e3eb0d55096ab07dcc6eb66bec": 40, "store": [40, 42, 45, 49, 52, 53, 57, 59, 69, 72, 75, 76, 80, 82, 149, 368, 369, 412, 420, 424, 436, 440, 537, 621, 624, 626, 678, 695, 760, 761, 779, 780, 781, 801, 806, 809, 810, 812, 817, 823, 825, 826, 827, 834, 836, 837, 838, 842, 848], "directori": [40, 41, 42, 45, 577, 599, 618, 621, 801, 804, 805, 806, 811, 813, 819, 826, 829, 841], "ephem": [40, 42], "njrc_e6b": 40, "2e": [40, 42], "ae2d7c5ce8708e605368a33e08d57d1de8e107e3db157c3063": [40, 42], "4845": [40, 42], "a8cde63eca203d3bd7f900fa32f44dbd038476606a3836de14caf2b0a5ff7460": 40, "b6": [40, 42], "0d": [40, 42], "0d1bbd99855f99cb2f6c2e5ff96f8023fad8ec367695f7d72d": [40, 42], "successfulli": [40, 42, 45, 781, 805, 809], "uninstal": [40, 42, 45], "found": [40, 42, 43, 45, 57, 59, 63, 69, 75, 80, 82, 86, 98, 196, 380, 458, 511, 618, 628, 657, 664, 697, 716, 736, 793, 804, 805, 806, 809, 810, 811, 812, 814, 815, 817, 820, 823, 825, 826, 841, 857], "cannot": [40, 41, 42, 45, 52, 285, 451, 452, 453, 619, 806, 808, 810, 814, 826, 834, 839, 861], "vnd": [40, 42, 45], "json": [40, 42, 45, 69, 805, 819, 837], "psst": 40, "cv2": [40, 42, 44, 837], "pickl": [40, 41, 69, 781, 812, 837], "imageio": 40, "urllib": [40, 45], "_src": 40, "tpu": [40, 189, 195, 206, 211, 618, 815, 855, 858], "back": [40, 52, 59, 75, 82, 371, 463, 484, 566, 589, 621, 623, 626, 649, 693, 778, 783, 793, 805, 809, 814, 815, 818, 823, 824, 831, 833, 840, 841, 845, 853, 857], "tf_cpp_min_log_level": 40, "info": [40, 796, 799, 811, 817, 820], "mkdir": [40, 41, 42, 805, 813], "perceiv": [40, 41], "touch": 40, "io_processor": 40, "position_encod": 40, "absl": 40, "jmp": 40, "tabul": 40, "04": [40, 41, 48, 54, 68, 72, 75, 77, 107, 108, 133, 160, 240, 570, 602, 603, 608, 613, 616, 617, 619, 621, 622, 763, 805, 829], "29359": 40, "29k": 40, "67k": 40, "002": 40, "30179": 40, "47k": 40, "8107": 40, "9k": 40, "92k": 40, "itertool": 40, "preprocessor": 40, "vector": [40, 48, 52, 53, 56, 57, 75, 76, 79, 80, 92, 93, 95, 134, 358, 359, 367, 368, 369, 371, 374, 375, 380, 390, 421, 426, 432, 434, 439, 473, 475, 477, 494, 498, 510, 529, 533, 550, 601, 616, 621, 623, 624, 647, 649, 654, 658, 659, 661, 664, 669, 674, 675, 679, 680, 681, 682, 763, 779, 855], "perceiverbackbon": 40, "input_preprocessor": 40, "_input_preprocessor": 40, "_encod": 40, "__call__": [40, 760, 779, 780, 781, 799, 849], "is_train": 40, "po": [40, 793], "input_mask": 40, "network_input_is_1d": 40, "_input_is_1d": 40, "queri": [40, 41, 56, 69, 79, 193, 207, 543, 569, 618, 621, 623, 649, 652, 779, 812, 814, 819, 836, 855], "decod": [40, 837], "cross": [40, 42, 57, 58, 80, 81, 93, 624, 625, 683, 684, 685, 799, 813, 814], "attend": [40, 623, 649], "encoder_queri": 40, "latent": [40, 627, 703, 704], "imagepreprocessor": 40, "deal": [40, 781, 802, 815, 822, 824, 826, 840], "image_s": 40, "fourier_pos_config": 40, "position_encoding_typ": 40, "fourier": [40, 52, 75, 368, 390, 395, 396, 400, 401, 411, 412, 415, 537, 621], "fourier_position_encoding_kwarg": 40, "concat_po": 40, "max_resolut": 40, "num_band": [40, 53, 76, 537, 621], "sine_onli": 40, "prep_typ": 40, "spatial_downsampl": 40, "cross_attend_widening_factor": 40, "cross_attention_shape_for_attn": 40, "kv": 40, "dropout_prob": 40, "num_block": 40, "num_cross_attend_head": 40, "num_self_attend_head": 40, "num_self_attends_per_block": 40, "num_z_channel": 40, "self_attend_widening_factor": 40, "use_query_residu": 40, "z_index_dim": 40, "z_pos_enc_init_scal": 40, "perceiver_backbon": [40, 799], "perceiverencod": 40, "At": [40, 804, 805, 806, 808, 819, 829, 830, 845, 855], "almost": [40, 803, 812, 827, 835, 837, 844], "publish": [40, 799, 840, 846, 849], "thankfulli": [40, 829], "perceiver_io": [40, 41], "imagenet_fourier_position_encod": 40, "pystat": 40, "imagenet_checkpoint": 40, "rb": 40, "ckpt": 40, "read": [40, 42, 52, 59, 69, 71, 75, 82, 129, 371, 463, 616, 626, 693, 804, 805, 811, 813, 819, 829, 831, 832, 855], "09": [40, 46, 51, 77, 84, 113, 273, 283, 602, 613, 619, 622, 727], "173": [40, 57, 624, 661], "194": 40, "217": [40, 818], "125": [40, 52, 57, 80, 229, 339, 365, 370, 442, 619, 624, 679], "177": [40, 42], "193776248": 40, "185m": 40, "octet": 40, "184": 40, "80m": 40, "144mb": 40, "144": 40, "mean_rgb": 40, "stddev_rgb": 40, "im": 40, "denorm": 40, "resize_and_center_crop": 40, "crop": [40, 52, 75, 368, 396, 401, 412], "center": [40, 778], "image_height": [40, 42, 799], "image_width": [40, 799], "padded_center_crop_s": 40, "minimum": [40, 51, 52, 53, 59, 62, 65, 74, 75, 76, 82, 85, 88, 215, 243, 270, 293, 325, 329, 330, 339, 360, 362, 365, 371, 380, 473, 508, 512, 518, 570, 571, 579, 580, 592, 593, 619, 621, 626, 631, 634, 686, 732, 747, 749, 763, 765, 766, 771, 814, 831, 852, 858, 862], "offset_height": 40, "offset_width": 40, "crop_window": 40, "inter_cub": 40, "ye": [40, 840], "dummy_input": [40, 799], "transpili": 40, "torch_perceiver_backbon": 40, "quicker": 40, "params_v": [40, 799, 849], "perceiverioclassifi": [40, 799], "max_pool": [40, 799], "huggingfac": [40, 848, 849], "Of": [40, 809, 825, 826, 837, 860, 861], "cours": [40, 805, 806, 808, 809, 816, 825, 826, 832, 837, 840, 860, 861], "468": 40, "huggingface_hub": 40, "multiprocess": [40, 69, 98, 621, 837, 840], "py39": 40, "132": [40, 75], "pyarrow": 40, "xxhash": 40, "212": [40, 52, 56, 75, 352, 365, 647], "pyyaml": 40, "2021": [40, 52, 75, 355, 365, 799], "aiohttp": 40, "async": 40, "timeout": [40, 69, 98, 574, 596, 621, 831], "0a3": 40, "async_timeout": 40, "frozenlist": 40, "manylinux_2_5_x86_64": [40, 45], "manylinux1_x86_64": [40, 45], "158": 40, "attr": [40, 814], "aiosign": 40, "multidict": 40, "114": [40, 368, 389, 399], "yarl": 40, "264": [40, 628, 705], "2022": [40, 41], "pytz": 40, "2020": [40, 808, 855], "dateutil": [40, 45], "wikiart": 40, "paint": [40, 799, 834, 844], "load_dataset": [40, 848, 849], "n_sampl": [40, 52, 75, 369, 371, 417, 425, 476], "10000": [40, 42, 48, 71, 133, 616], "huggan": 40, "split": [40, 41, 42, 46, 51, 52, 59, 68, 69, 74, 75, 82, 105, 106, 107, 108, 109, 110, 111, 112, 113, 206, 207, 208, 286, 290, 294, 295, 297, 341, 348, 360, 371, 459, 468, 487, 533, 560, 613, 618, 619, 621, 623, 626, 636, 643, 644, 698, 760, 775, 779, 799, 800, 806, 813, 833, 834, 840, 862], "wiki_art": 40, "gib": 40, "unknown": [40, 763], "total": [40, 42, 52, 65, 69, 75, 88, 98, 129, 210, 324, 325, 326, 334, 362, 365, 616, 618, 631, 634, 734, 751, 753, 793, 799, 800, 805, 806, 814, 815, 816, 829, 832, 837, 838, 840, 846], "huggan___parquet": 40, "36ee951979f9b56c": 40, "2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec": 40, "parquet": 40, "subsequ": [40, 788, 805, 809, 813, 814, 816, 821, 822, 825, 829, 838, 856], "reus": [40, 48, 71, 75, 82, 123, 451, 452, 459, 461, 463, 464, 465, 472, 487, 689, 690, 691, 693, 695, 696, 698, 700, 818, 829, 860], "curl": [40, 805], "server": [40, 799, 805, 806, 811, 819, 841, 855], "row": [40, 52, 75, 93, 127, 142, 322, 362, 369, 371, 378, 380, 427, 437, 465, 471, 488, 503, 509, 510, 616, 624, 630, 631, 665, 673, 674, 679, 725, 734, 778], "2fwikiart": 40, "receiv": [40, 44, 92, 524, 560, 621, 627, 702, 703, 704, 779, 805, 806, 814, 815, 829, 832], "xferd": 40, "averag": [40, 42, 52, 54, 58, 75, 77, 81, 368, 370, 374, 380, 382, 383, 386, 387, 388, 443, 444, 445, 446, 447, 448, 494, 510, 602, 603, 608, 622, 623, 625, 627, 649, 683, 702, 703, 778, 779], "dload": 40, "upload": [40, 829], "spent": [40, 846], "25936": 40, "278k": 40, "number": [40, 42, 43, 44, 45, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 69, 71, 72, 74, 75, 76, 79, 80, 81, 82, 84, 85, 86, 88, 89, 92, 93, 95, 97, 98, 101, 121, 127, 129, 131, 132, 133, 134, 135, 136, 137, 138, 142, 148, 153, 154, 155, 156, 157, 159, 160, 163, 166, 167, 168, 170, 172, 175, 199, 200, 201, 215, 216, 217, 218, 219, 221, 223, 224, 231, 233, 235, 236, 238, 240, 241, 242, 248, 249, 250, 252, 256, 258, 266, 267, 268, 269, 270, 271, 273, 275, 277, 278, 279, 281, 282, 286, 288, 313, 317, 318, 319, 320, 321, 322, 324, 325, 326, 328, 329, 330, 332, 333, 334, 335, 344, 349, 353, 362, 365, 368, 369, 371, 374, 380, 401, 412, 415, 418, 421, 425, 426, 427, 435, 439, 441, 451, 452, 453, 473, 474, 475, 476, 477, 479, 481, 483, 486, 489, 490, 491, 508, 510, 511, 512, 513, 519, 537, 544, 562, 579, 580, 587, 600, 601, 614, 616, 617, 618, 619, 621, 623, 624, 625, 626, 627, 630, 631, 632, 634, 635, 636, 643, 644, 646, 649, 654, 658, 659, 660, 667, 672, 674, 678, 679, 680, 683, 686, 688, 689, 691, 692, 694, 695, 697, 699, 701, 702, 703, 704, 725, 729, 734, 736, 737, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 771, 778, 779, 782, 793, 799, 805, 806, 812, 813, 814, 815, 816, 823, 824, 825, 829, 830, 831, 832, 834, 837, 843, 844, 848], "abstract_expression": 40, "action_paint": 40, "analytical_cub": 40, "art_nouveau": 40, "baroqu": 40, "color_field_paint": 40, "contemporary_r": 40, "cubism": 40, "early_renaiss": 40, "expression": 40, "fauvism": 40, "high_renaiss": 40, "impression": 40, "mannerism_late_renaiss": 40, "minim": [40, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 793, 817, 825, 827, 832, 834, 848, 853, 861], "naive_art_primitiv": 40, "new_real": 40, "northern_renaiss": 40, "pointil": 40, "pop_art": 40, "post_impression": 40, "realism": 40, "rococo": 40, "romantic": 40, "symbol": [40, 792, 804, 805, 855, 856], "synthetic_cub": 40, "ukiyo_": 40, "custom": [40, 52, 75, 293, 305, 357, 360, 367, 763, 792, 801, 807, 813, 818, 823, 827, 829, 832, 838, 845, 855, 859, 860, 861], "hugginfac": 40, "customdataset": 40, "__len__": [40, 812], "__getitem__": [40, 69, 812], "idx": [40, 41, 42, 523, 621, 799, 815, 836], "random_split": 40, "224x224": 40, "val_siz": 40, "dataset_train": 40, "dataset_v": 40, "dataset_test": 40, "dataloader_train": 40, "batch_siz": [40, 42, 45, 52, 56, 61, 75, 79, 84, 368, 370, 386, 387, 388, 404, 405, 406, 407, 448, 623, 630, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 725, 799, 837], "dataloader_v": 40, "dataloader_test": 40, "batch": [40, 41, 42, 52, 53, 57, 69, 75, 76, 80, 206, 207, 368, 374, 382, 384, 390, 403, 413, 443, 489, 490, 491, 494, 537, 540, 541, 601, 618, 621, 623, 624, 627, 629, 647, 648, 649, 663, 681, 702, 703, 704, 724, 763, 779, 782, 799, 812, 822, 827, 837, 853], "iter": [40, 42, 47, 52, 53, 59, 67, 69, 75, 76, 82, 90, 95, 98, 117, 208, 314, 315, 362, 368, 369, 371, 413, 426, 435, 441, 457, 473, 522, 560, 615, 618, 621, 626, 628, 688, 692, 699, 701, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 720, 721, 723, 792, 793, 808, 810, 812, 834, 837, 846, 848], "train_featur": 40, "train_label": 40, "imshow": [40, 41], "crossentropyloss": [40, 780], "sgd": [40, 783, 855], "lr": [40, 54, 77, 524, 603, 606, 608, 609, 610, 621, 622, 783, 837, 838], "001": [40, 51, 52, 60, 72, 75, 77, 160, 258, 275, 332, 344, 365, 603, 617, 619, 622, 629, 724, 763, 837, 838], "train_step": 40, "running_loss": [40, 42, 799], "last_loss": 40, "training_load": 40, "intra": 40, "report": [40, 804, 829], "zero_grad": 40, "backward": [40, 52, 66, 75, 89, 277, 368, 390, 395, 396, 400, 401, 411, 412, 619, 624, 635, 654, 680, 754, 755, 779, 830, 840], "adjust": [40, 65, 88, 369, 437, 634, 751, 753, 788], "999": [40, 54, 74, 77, 286, 602, 603, 608, 610, 619, 622, 783, 838], "epoch_numb": 40, "best_vloss": 40, "1_000_000": 40, "avg_loss": 40, "running_vloss": 40, "vdata": 40, "vinput": 40, "vlabel": 40, "voutput": 40, "vloss": 40, "avg_vloss": 40, "model_path": 40, "model_": 40, "state_dict": [40, 780, 781], "highest": [40, 52, 61, 75, 84, 313, 316, 362, 630, 726, 814], "energi": 40, "sum": [40, 42, 51, 52, 53, 56, 57, 58, 65, 69, 74, 75, 76, 79, 80, 81, 88, 92, 97, 98, 208, 218, 260, 284, 326, 349, 362, 365, 369, 370, 371, 374, 380, 410, 420, 442, 443, 444, 445, 446, 447, 448, 478, 494, 516, 517, 534, 564, 565, 618, 619, 621, 623, 624, 625, 634, 646, 652, 665, 674, 678, 681, 683, 745, 746, 778, 780, 792, 799, 812, 814, 822, 824, 825, 826, 834, 848, 849, 850], "augment": 40, "mayb": [40, 41, 47, 799, 805, 813, 834, 836], "meta": [40, 702, 703, 704, 809, 830, 855], "finetun": 40, "deploi": [40, 799, 813, 842, 849, 853, 854, 855, 857, 861], "present": [41, 52, 65, 69, 75, 88, 332, 365, 374, 489, 490, 491, 634, 749, 804, 805, 806, 812, 814, 815, 821, 825, 834, 844, 852, 853, 862], "percieverio": 41, "ai": [41, 813, 853, 857], "contribut": [41, 52, 75, 380, 513, 803, 805, 806, 811, 819, 820, 826, 827, 834, 841, 848, 859], "highli": [41, 799, 804, 855], "invit": [41, 804, 826, 832], "g4ar9q7dtn": 41, "step1": 41, "printf": 41, "8packag": 41, "share": [41, 69, 181, 617, 763, 764, 799, 810, 812, 816, 822, 824, 826, 827, 829, 832, 834, 845, 853, 854, 861], "googledr": 41, "10_wfp1u4rmzc20eignrdqa9v2s9byjwv": 41, "file_id": 41, "drive": [41, 42], "uc": 41, "export": [41, 813, 854, 861], "tee": [41, 805], "file_id_wget_cmd": 41, "perl": 41, "pe": 41, "g": [41, 43, 44, 52, 61, 63, 65, 67, 75, 84, 90, 92, 146, 175, 188, 235, 248, 268, 275, 278, 329, 330, 365, 368, 369, 371, 375, 380, 404, 406, 441, 481, 496, 497, 498, 499, 500, 511, 512, 617, 618, 619, 624, 628, 630, 632, 634, 659, 660, 665, 672, 674, 675, 681, 708, 712, 714, 717, 722, 726, 727, 728, 736, 737, 738, 739, 744, 745, 747, 749, 750, 752, 778, 800, 804, 805, 807, 808, 810, 811, 812, 824, 826, 829, 834, 840, 842, 846, 851], "uuid": 41, "anywai": [41, 809, 823, 826], "bin": [41, 52, 75, 380, 508, 513, 805, 806, 808, 812], "bash": [41, 805, 806, 808], "step2": 41, "interpret": [41, 48, 52, 71, 75, 122, 123, 129, 135, 370, 380, 443, 510, 616, 813, 856], "sudo": [41, 805], "apt": [41, 805], "yf": 41, "step3": 41, "delet": [41, 806, 813], "xvzf": 41, "rm": [41, 43, 801, 806], "step4": 41, "symlink": 41, "unzip": [41, 42], "fr": 41, "l": [41, 57, 74, 80, 262, 369, 421, 623, 624, 649, 653, 658, 659, 660, 664, 678, 806, 807], "d": [41, 52, 53, 56, 57, 59, 71, 75, 76, 79, 80, 82, 95, 111, 133, 142, 175, 218, 235, 236, 268, 271, 322, 362, 368, 369, 371, 374, 375, 378, 386, 387, 388, 395, 400, 404, 405, 406, 407, 409, 413, 419, 433, 453, 459, 461, 464, 468, 482, 484, 487, 494, 496, 502, 525, 536, 613, 616, 617, 619, 623, 624, 626, 628, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 656, 657, 661, 665, 669, 678, 679, 695, 708, 712, 713, 714, 717, 722, 723, 764, 793, 799, 800, 805, 807, 810, 811, 812, 819, 824, 829, 832, 837, 845, 846, 851], "ln": 41, "sf": 41, "la": 41, "step5": 41, "regular": [41, 75, 369, 380, 433, 514, 624, 663, 805, 826, 855], "step6": 41, "ipkykernel": 41, "step7": 41, "engbjapanpython3": 41, "separ": [41, 52, 53, 75, 374, 490, 537, 621, 623, 649, 805, 806, 809, 812, 813, 816, 827, 828, 829, 834, 836, 837, 856, 860], "ipykernel": 41, "reconnect": 41, "sy": 41, "oct": 41, "gcc": [41, 853, 860], "lf": 41, "upgrad": 41, "cuda11": 41, "cudnn805": 41, "cp38": [41, 45, 805], "helper": [41, 758, 760, 761, 767, 769, 770, 799, 802, 811, 814, 818, 819, 828, 837, 842], "feedforward": 41, "prenorm": 41, "perceiveriospec": 41, "fetch": [41, 545, 621, 805, 806, 808, 813], "ogbanugot": 41, "xmartlab": 41, "caffeflow": 41, "fetch_class": 41, "class_label": 41, "ground_truth": 41, "127": [41, 49, 52, 57, 72, 75, 163, 352, 365, 617, 624, 661], "path_to_imag": 41, "get_imag": 41, "ax": [41, 46, 52, 57, 59, 62, 65, 66, 68, 75, 80, 82, 85, 88, 89, 97, 101, 108, 112, 208, 329, 330, 334, 335, 349, 356, 365, 366, 368, 369, 371, 374, 380, 396, 401, 412, 436, 472, 473, 479, 492, 515, 516, 517, 518, 519, 520, 533, 601, 618, 621, 624, 626, 631, 634, 635, 654, 665, 673, 676, 677, 681, 688, 690, 691, 694, 696, 698, 701, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 779, 814, 816, 829, 830, 834, 836], "fig": [41, 42], "subplot": [41, 42], "spine": 41, "set_vis": 41, "right": [41, 52, 57, 69, 75, 80, 98, 115, 116, 227, 229, 282, 343, 365, 368, 369, 371, 402, 430, 436, 437, 439, 464, 533, 615, 619, 621, 624, 633, 674, 679, 742, 763, 800, 804, 805, 806, 807, 808, 816, 819, 832, 837, 848], "bottom": [41, 533, 621, 804, 805, 813, 819, 861], "tick_param": 41, "set_xticklabel": 41, "set_yticklabel": 41, "show_result": 41, "along": [41, 46, 48, 51, 52, 53, 57, 58, 59, 61, 62, 64, 65, 66, 68, 69, 71, 74, 75, 76, 80, 81, 82, 84, 85, 87, 88, 89, 92, 93, 95, 108, 112, 117, 132, 133, 208, 282, 285, 287, 324, 325, 326, 329, 330, 334, 335, 349, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 389, 395, 396, 399, 400, 401, 411, 412, 435, 445, 458, 459, 460, 462, 464, 465, 473, 478, 481, 483, 492, 493, 494, 495, 511, 512, 513, 515, 516, 517, 518, 519, 520, 533, 540, 615, 616, 618, 619, 621, 624, 625, 626, 627, 630, 631, 633, 634, 635, 654, 669, 678, 680, 681, 683, 684, 685, 687, 690, 691, 692, 694, 695, 697, 699, 700, 702, 703, 704, 730, 731, 732, 740, 741, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 779, 799, 804, 807, 816, 825, 828, 830, 832, 834, 855], "figur": [41, 831], "figsiz": [41, 42], "listdir": [41, 42], "endswith": 41, "this_dir": 41, "dirnam": 41, "join": [41, 42, 59, 69, 75, 82, 457, 458, 626, 687, 697, 799], "add_subplot": 41, "xtick": 41, "ytick": 41, "set_titl": [41, 42], "color": [41, 69, 98, 798], "green": [41, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 798, 804, 805, 806], "red": 41, "perceiver_io_img_classif": 41, "normalize_imag": 41, "batch_shap": [41, 56, 61, 71, 79, 84, 127, 136, 616, 623, 624, 630, 648, 652, 682, 725, 779, 832, 834, 836], "img_dim": 41, "queries_dim": 41, "learn_queri": 41, "load_weight": 41, "num_input_ax": 41, "network_depth": 41, "num_lat_att_per_lay": 41, "query_shap": 41, "num_fourier_freq_band": 41, "weight_fpath": 41, "pretrained_weight": 41, "isfil": 41, "noinspect": [41, 836], "pybroadexcept": 41, "from_disk_as_pickl": 41, "larg": [41, 51, 52, 74, 75, 218, 235, 242, 268, 269, 371, 380, 481, 510, 619, 624, 672, 801, 805, 806, 811, 813, 819, 837, 848, 855], "action": [41, 803, 813, 816, 820, 829], "fail": [41, 758, 802, 805, 806, 808, 813, 814, 816, 820, 823, 825, 826, 827], "placehold": [41, 628, 712, 717, 722, 779, 806, 809, 821, 842], "pyunboundlocalvari": 41, "max_fourier_freq": 41, "random_uniform": [41, 45, 61, 84, 630, 815, 818, 829, 834, 838], "817437": 41, "common_runtim": 41, "gpu_bfc_alloc": 41, "orig_valu": 41, "tf_force_gpu_allow_growth": 41, "autograd": [41, 840], "declar": [41, 806, 828], "_3r2_73j": 42, "0edf8c1e8ea835f4c456bdf89737d89032f50b5a": 42, "1297564": 42, "05fcafac1e19fec835a9ac61270b3ac6039a5095f6b0f9fde20bacc2a5abba45": 42, "le3bu3_v": 42, "cc6508f5d7e25538c5df5fdae52a41d2bf17b9a517aedd125cfca913bb5b259b": 42, "third": [42, 92, 93, 371, 460, 486, 624, 632, 674, 736, 811, 814, 825, 840, 854, 855, 861], "parti": [42, 811, 814, 840, 845, 854, 855, 861], "mount": [42, 801, 806], "mydriv": 42, "chdir": 42, "One": [42, 52, 53, 59, 61, 75, 76, 82, 84, 95, 371, 451, 452, 453, 456, 473, 482, 534, 621, 626, 630, 693, 726, 809, 812, 814, 816, 822, 827, 829, 834, 836, 837], "kaggl": 42, "medium": 42, "articl": [42, 799, 820], "insert": [42, 52, 62, 75, 85, 371, 448, 458, 626, 628, 631, 633, 689, 709, 710, 731, 742, 813, 820], "www": [42, 329, 330, 365], "your_kaggle_usernam": 42, "competit": 42, "digit": 42, "recogn": 42, "zip": [42, 834], "readabl": [42, 809, 812, 818, 820, 821, 829, 830, 836, 837], "chmod": [42, 805, 813], "recent": [42, 796, 805, 806, 829, 844, 845], "modifi": [42, 52, 69, 75, 92, 371, 380, 470, 473, 478, 517, 763, 793, 804, 805, 806, 808, 810, 811, 814, 815, 817, 819, 820, 822, 825, 827, 829, 830, 834], "forc": [42, 811, 813, 815], "archiv": [42, 805], "inflat": [42, 814], "sample_submiss": 42, "frame": [42, 52, 75, 313, 362, 368, 415, 845, 855], "later": [42, 69, 527, 621, 804, 820, 825, 829, 830, 855], "my": [42, 813], "label_df": 42, "mod_train": 42, "data_valu": 42, "test_data_valu": 42, "correct_label": 42, "train_path": 42, "str": [42, 44, 47, 48, 52, 53, 56, 57, 58, 59, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 129, 131, 134, 136, 138, 144, 145, 148, 150, 152, 153, 154, 155, 159, 160, 163, 164, 165, 166, 167, 168, 170, 172, 175, 176, 177, 178, 179, 180, 187, 188, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 368, 369, 370, 371, 374, 380, 383, 386, 387, 388, 390, 391, 392, 393, 395, 396, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 418, 422, 435, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 456, 457, 458, 463, 479, 481, 482, 483, 484, 489, 490, 491, 492, 493, 495, 497, 499, 510, 511, 512, 513, 520, 522, 523, 525, 526, 528, 529, 531, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 567, 568, 577, 579, 580, 582, 584, 586, 587, 600, 604, 611, 615, 616, 617, 618, 621, 622, 623, 624, 625, 626, 627, 628, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 675, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 704, 711, 712, 717, 722, 725, 726, 727, 728, 730, 733, 736, 737, 738, 740, 744, 745, 746, 748, 750, 751, 753, 754, 755, 760, 761, 763, 764, 769, 771, 779, 781, 782, 792, 793, 814, 815, 818, 822, 825, 826, 830, 834, 839, 848, 849, 850], "makedir": 42, "valid_path": 42, "28x28": 42, "pic": 42, "pictur": [42, 799, 804, 834, 844], "int8": [42, 49, 61, 71, 72, 84, 129, 156, 161, 163, 164, 168, 616, 617, 726, 763, 764, 814, 829], "new_img": [42, 44], "builder": [42, 801], "batchwis": 42, "subset": [42, 765, 809, 813, 817, 821, 824, 826, 829, 834, 855], "goe": [42, 371, 456, 807, 820, 825, 832], "seed_valu": [42, 69, 630, 729], "randomize_dataset": 42, "shuffl": [42, 52, 61, 69, 75, 84, 498, 630], "create_dataset": 42, "num_examples_per_class": 42, "img_arrai": 42, "class_nam": [42, 760], "dir": [42, 837], "img_path": 42, "imread": [42, 44, 837], "imread_grayscal": 42, "generate_batch": [42, 799], "dataset_s": [42, 799], "ivyerror": [42, 794, 799, 818], "smaller": [42, 52, 59, 65, 75, 82, 296, 328, 344, 360, 365, 368, 380, 396, 401, 412, 510, 511, 512, 533, 621, 626, 634, 686, 694, 744, 745, 750, 752, 799, 806, 818, 834], "yield": [42, 62, 314, 315, 362, 371, 473, 631, 735, 799, 813], "x_batch_inst": 42, "form": [42, 44, 47, 48, 52, 57, 69, 71, 80, 91, 92, 93, 122, 123, 135, 140, 141, 306, 309, 323, 332, 362, 365, 369, 371, 421, 430, 460, 469, 473, 488, 523, 583, 585, 616, 621, 623, 624, 628, 653, 655, 657, 658, 659, 660, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678, 706, 717, 763, 778, 800, 804, 805, 822, 829, 832, 838, 839, 845, 855, 856, 861], "intialis": 42, "num_epoch": [42, 799], "inherit": [42, 809, 812, 818, 836, 840, 842], "creation": [42, 52, 69, 75, 98, 811, 814, 815, 821, 823, 826, 827, 829, 830, 834, 848, 855, 857, 861], "inform": [42, 44, 49, 52, 54, 72, 77, 160, 163, 313, 362, 523, 611, 617, 621, 622, 627, 704, 799, 803, 804, 805, 806, 808, 812, 813, 818, 822, 823, 825, 827, 829, 858], "insid": [42, 57, 80, 98, 371, 483, 624, 667, 761, 805, 806, 809, 812, 814, 815, 819, 822, 823, 829, 830, 848, 861], "ivynet": [42, 799], "h_w": [42, 799], "input_channel": [42, 779, 799, 834, 838], "output_channel": [42, 779, 799, 838], "gelu": [42, 43, 46, 68, 613, 775, 799], "image_widht": 42, "start_dim": [42, 52, 75, 371, 463, 799], "end_dim": [42, 52, 75, 371, 463, 799], "gpu_is_avail": [42, 618, 799], "120": [42, 65, 88, 98, 624, 669, 744, 799], "model_nam": [42, 799], "__name__": [42, 43, 45, 588, 621, 799, 818], "heavi": [42, 765, 805, 826, 827, 832, 856], "lift": [42, 827, 856], "num_correct": [42, 799], "y_pred": [42, 799], "cross_entropi": [42, 58, 81, 625, 685, 799, 812, 822, 825], "epoch_loss": [42, 799], "field": [42, 57, 63, 80, 86, 369, 371, 421, 486, 624, 632, 658, 659, 671, 672, 674, 736, 737, 738, 799, 813, 853, 861], "training_accuraci": [42, 799], "train_loss": [42, 799], "train_correct": [42, 799], "train_loop": [42, 799], "posit": [42, 44, 47, 51, 52, 53, 57, 58, 59, 74, 75, 76, 80, 81, 82, 92, 127, 129, 142, 160, 215, 216, 217, 221, 224, 235, 242, 249, 250, 256, 258, 268, 269, 276, 277, 281, 282, 286, 307, 322, 328, 333, 344, 362, 365, 369, 371, 419, 437, 447, 472, 481, 527, 537, 601, 614, 616, 617, 619, 621, 624, 625, 626, 630, 631, 635, 653, 656, 678, 683, 689, 694, 729, 734, 754, 755, 760, 763, 771, 776, 780, 781, 793, 799, 804, 806, 808, 812, 826, 829, 830, 837, 848, 857], "leav": [42, 47, 52, 70, 72, 74, 75, 76, 79, 80, 82, 88, 98, 160, 163, 235, 292, 294, 295, 301, 371, 457, 458, 463, 475, 476, 477, 492, 493, 495, 511, 512, 517, 537, 584, 626, 628, 642, 652, 657, 674, 688, 692, 697, 699, 700, 705, 706, 715, 716, 717, 718, 744, 745, 792, 799, 804, 812, 813, 814, 816, 817, 821, 822, 825, 826, 829, 837, 838], "xbatch": [42, 799], "ybatch": [42, 799], "to_devic": [42, 50, 73, 191, 618, 781, 799], "entropi": [42, 58, 81, 625, 683, 684, 685, 799], "hot": [42, 48, 71, 136, 616, 799], "ybatch_encod": [42, 799], "one_hot": [42, 48, 71, 616, 799, 839], "loss_prob": [42, 799], "ret_grad_idx": [42, 604, 622, 760, 824], "xs_grad_idx": [42, 604, 622, 760, 824], "batch_loss": [42, 799], "set_descript": [42, 799], "set_postfix": [42, 799], "accuracy_percentag": [42, 799], "naverag": [42, 799], "6f": [42, 799], "_train_summari": [42, 799], "writer": [42, 799], "writerow": [42, 799], "157it": 42, "06it": 42, "475401": 42, "11it": 42, "081436": 42, "13it": 42, "0187": 42, "029279": 42, "0324": 42, "008382": 42, "07it": 42, "00456": 42, "003816": 42, "82it": 42, "00277": 42, "002179": 42, "05it": 42, "00175": 42, "001569": 42, "00147": 42, "001235": 42, "09it": 42, "00128": 42, "001005": 42, "106": 42, "10it": 42, "00112": 42, "000837": 42, "129": [42, 623, 642, 644], "12it": 42, "000989": 42, "000709": 42, "145": 42, "000873": 42, "000606": 42, "168": [42, 528, 621, 628, 705], "08it": 42, "000774": 42, "000524": 42, "000688": 42, "000455": 42, "000613": 42, "000398": 42, "000547": 42, "000350": 42, "205": 42, "000488": 42, "000308": 42, "218": 42, "000437": 42, "000273": 42, "000391": 42, "000243": 42, "238": [42, 242, 619], "98it": 42, "000351": 42, "000216": 42, "260": 42, "plot_summari": 42, "seaborn": 42, "whitegrid": 42, "ax1": 42, "ax2": 42, "nrow": 42, "ncol": 42, "fontweight": 42, "bold": 42, "set_xlabel": 42, "set_ylabel": 42, "tight_layout": 42, "savefig": 42, "summary_plot": 42, "png": [42, 44, 45, 837], "close": [42, 57, 240, 258, 278, 306, 362, 619, 624, 626, 674, 689, 802, 804, 805, 806, 814, 817, 819, 826, 832, 855], "save_weight": [42, 781], "model_param": 42, "ivynet_weight": 42, "hdf5": [42, 69, 781, 837], "deitimageprocessor": 43, "tfdeitforimageclassif": 43, "tfdeitforimageclassificationwithteach": 43, "head": [43, 44, 623, 649, 779, 799, 803, 805, 813, 826], "distillation_classifi": 43, "cls_classifi": 43, "randomli": [43, 368, 391, 392, 393, 623, 646, 763, 764, 765, 766, 771, 779], "henc": [43, 63, 218, 332, 365, 619, 626, 632, 689, 736, 737, 738, 739, 788, 805, 812, 813, 814, 825, 829], "reproduc": [43, 56, 79, 623, 646, 763, 764, 765, 766, 771, 802, 808, 819], "image_processor": [43, 848, 849], "facebook": 43, "distil": [43, 856], "patch16": 43, "outputs_from_original_model": 43, "predicted_class_idx": 43, "id2label": [43, 848], "architectur": [43, 799, 805, 839, 840, 853, 854, 855, 858, 859, 860], "bertforsequenceclassif": 43, "bertforpretrain": 43, "NOT": [43, 263, 619, 792, 804], "probabl": [43, 52, 56, 58, 61, 75, 79, 81, 84, 368, 370, 375, 380, 391, 392, 393, 443, 496, 510, 513, 517, 623, 625, 630, 646, 649, 652, 683, 725, 765, 778, 779, 799, 829, 841, 846], "ptarmigan": 43, "rf": [43, 806], "branch": [43, 223, 235, 238, 240, 268, 280, 281, 282, 285, 619, 804, 805, 806, 808, 813, 820, 840, 848, 855], "moduleconvert": [43, 776, 781], "mc": 43, "from_keras_modul": [43, 776], "compiled_func": 43, "return_graph": [43, 45], "compiled_output": 43, "diverg": [43, 52, 75, 242, 370, 443, 619], "_all_funct": [43, 45], "convert_to_tensor_v2_with_dispatch": 43, "transpose_v2": 43, "convolution_v2": 43, "bias_add": 43, "binary_op_wrapp": 43, "cast": [43, 49, 51, 52, 57, 65, 72, 74, 80, 147, 150, 175, 269, 380, 511, 512, 617, 619, 624, 634, 681, 744, 745, 750, 752, 764, 822, 827, 834], "moments_v2": 43, "batch_norm": [43, 45, 52, 75, 374], "tensordot": [43, 57, 80, 624, 793, 814], "softmax_v2": 43, "_slice_help": 43, "save_to_disk": [43, 45, 781], "12265048989200113": 43, "11038777417100028": 43, "1167045795539998": 43, "ivy_api_kei": 44, "obj": [44, 122, 123, 545, 616, 621, 848, 849, 850], "combo": [44, 837], "permit": [44, 809, 821, 826, 829, 832], "usabl": [44, 821, 830], "neither": [44, 218, 235, 242, 268, 619, 624, 676, 813, 826, 832], "nor": [44, 218, 235, 242, 268, 619, 813, 826, 859], "specifc": 44, "invoc": 44, "represent": [44, 52, 53, 69, 75, 76, 98, 145, 146, 160, 163, 188, 189, 215, 218, 225, 228, 230, 235, 242, 265, 268, 270, 285, 310, 341, 345, 350, 354, 362, 365, 523, 584, 614, 617, 618, 619, 621, 763, 765, 766, 779, 814, 853, 854, 856, 860, 861], "externally_link": 44, "logo": 44, "patch": [44, 286, 619, 814, 855], "cv2_imshow": 44, "envrion": 44, "canni": 44, "original_img": 44, "fn_arg": 44, "dilate_edg": 44, "edg": [44, 52, 59, 75, 82, 313, 362, 368, 371, 380, 403, 473, 513, 626, 686, 688, 701, 766, 808, 829, 849, 855, 857, 861], "morphologi": 44, "hk_model": 44, "resnet18": [44, 45], "keras_model": 44, "count": [44, 52, 59, 63, 66, 71, 75, 82, 86, 89, 129, 201, 334, 365, 371, 380, 481, 486, 508, 513, 616, 618, 624, 626, 632, 635, 654, 680, 687, 690, 736, 737, 754, 755, 811, 812, 816, 837], "odsc": 44, "talk": [44, 860], "228": 45, "352": [45, 79, 623, 647, 818], "nvidia_ml_py3": 45, "19190": 45, "241af6b4a51197474b0da3ee7bfa32d847756c8f0d93b51448655d6458312714": 45, "b9": 45, "b1": [45, 624, 673], "cb4feab29709d4155310d29a421389665dcab9eb3b679b527b": 45, "cycler": 45, "fonttool": 45, "965": 45, "pillow": 45, "kiwisolv": 45, "show_graph": [45, 781], "to_ivy_modul": [45, 776, 839], "image_dim": 45, "v0": [45, 838], "urlerror": 45, "dev_str": 45, "comp_network": 45, "time_chronolog": 45, "ret0_nc": 45, "ret1_nc": 45, "ret0_c": 45, "ret1_c": 45, "pytorch_vision_v0": 45, "distribut": [45, 52, 58, 61, 75, 81, 84, 368, 369, 370, 375, 391, 392, 393, 426, 435, 441, 443, 445, 446, 448, 496, 497, 498, 499, 500, 625, 630, 683, 684, 685, 725, 726, 727, 728, 730, 778, 779, 804, 805, 813, 815, 840, 855, 858], "distributed_c10d": 45, "262": 45, "reduce_op": 45, "deprec": 45, "reduceop": 45, "004645566477999864": 45, "0044566806820000695": 45, "attribut": [45, 69, 160, 161, 162, 163, 194, 195, 203, 538, 539, 617, 618, 621, 761, 810, 811, 812, 817, 818, 822, 823, 825, 826, 832, 835, 836, 837, 838], "definit": [45, 51, 57, 74, 80, 287, 619, 624, 653, 799, 802, 806, 809, 814, 819, 822, 836, 849], "max_pool2d": [45, 52, 75, 368, 387], "__iadd__": 45, "adaptive_avg_pool2d": [45, 52, 75, 368], "_arraywithactiv": [46, 97], "abc": [46, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 101, 536, 621, 628, 723, 778, 783, 792, 793, 836], "_abc_impl": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "_abc": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "_abc_data": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "approxim": [46, 51, 52, 57, 68, 74, 75, 80, 92, 95, 105, 216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 242, 256, 257, 258, 259, 273, 280, 281, 285, 286, 287, 342, 352, 365, 370, 445, 446, 613, 619, 624, 667, 670, 775, 817, 826], "complex_mod": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 823], "variant": [46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 670, 671, 672, 674, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 809, 816, 817, 832], "docstr": [46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 601, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 624, 626, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 803, 804, 807, 811, 820, 821, 822, 823, 826, 828, 830], "liter": [46, 51, 52, 57, 68, 74, 75, 80, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 368, 369, 371, 374, 389, 399, 403, 411, 426, 430, 435, 438, 441, 473, 494, 613, 619, 624, 633, 665, 681, 742, 775, 832], "magnitud": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 215, 218, 235, 242, 268, 286, 290, 294, 295, 297, 360, 613, 619, 624, 674, 675, 775, 814], "handle_complex_input": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 823], "element": [46, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 65, 68, 69, 71, 72, 74, 75, 76, 79, 80, 82, 84, 85, 86, 88, 93, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 124, 130, 131, 140, 141, 142, 158, 160, 163, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 336, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 365, 368, 369, 371, 380, 381, 391, 392, 393, 396, 401, 404, 405, 406, 410, 412, 413, 414, 420, 421, 422, 451, 452, 453, 463, 464, 465, 467, 470, 480, 481, 483, 486, 508, 509, 511, 512, 513, 514, 515, 516, 518, 519, 521, 525, 528, 529, 540, 541, 557, 559, 579, 580, 582, 586, 587, 613, 616, 619, 621, 623, 624, 626, 628, 630, 631, 632, 633, 634, 635, 646, 654, 656, 658, 659, 664, 669, 671, 672, 674, 678, 686, 689, 690, 691, 692, 693, 694, 695, 696, 705, 708, 714, 725, 733, 734, 735, 736, 737, 738, 739, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 779, 793, 817, 827, 829, 832, 834, 859], "138": [46, 105, 613], "165": [46, 105, 613, 623, 647], "hardswish": [46, 68, 613, 775], "leaky_relu": [46, 68, 75, 290, 613, 764], "alpha": [46, 51, 52, 68, 74, 75, 102, 107, 218, 284, 290, 291, 298, 302, 308, 360, 362, 369, 374, 375, 422, 494, 497, 498, 499, 613, 619, 775, 821, 826, 827], "float": [46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 60, 61, 63, 65, 68, 71, 72, 74, 75, 76, 77, 79, 80, 81, 83, 84, 88, 92, 95, 97, 107, 113, 121, 122, 123, 125, 127, 129, 130, 131, 132, 133, 137, 138, 143, 147, 151, 155, 160, 164, 168, 174, 175, 178, 184, 193, 202, 206, 207, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 239, 240, 241, 242, 246, 248, 249, 250, 251, 252, 254, 256, 257, 258, 259, 260, 261, 268, 269, 270, 271, 272, 273, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 298, 301, 302, 304, 305, 306, 307, 308, 309, 311, 312, 313, 328, 329, 330, 331, 338, 339, 344, 346, 347, 350, 351, 352, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 383, 391, 392, 393, 410, 411, 418, 421, 422, 424, 435, 439, 441, 442, 446, 447, 462, 480, 489, 490, 491, 494, 495, 496, 497, 498, 499, 500, 510, 511, 512, 513, 518, 519, 520, 527, 528, 529, 537, 546, 570, 571, 574, 579, 580, 600, 602, 603, 606, 608, 609, 610, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 627, 628, 629, 630, 631, 632, 634, 646, 649, 652, 653, 655, 658, 659, 660, 662, 665, 666, 667, 670, 671, 672, 673, 674, 675, 676, 678, 681, 683, 684, 685, 702, 703, 704, 711, 724, 727, 728, 734, 736, 737, 738, 739, 744, 745, 747, 748, 749, 750, 751, 752, 753, 760, 763, 764, 766, 775, 778, 779, 782, 783, 802, 808, 812, 814, 817, 818, 819, 821, 822, 824, 825, 827, 829, 830, 832, 834, 836, 838], "slope": [46, 52, 68, 75, 107, 290, 291, 296, 298, 302, 360, 613, 775], "neg": [46, 51, 52, 57, 59, 61, 66, 68, 74, 75, 80, 82, 84, 89, 92, 107, 110, 113, 121, 127, 129, 142, 235, 242, 249, 250, 268, 269, 277, 282, 290, 307, 322, 325, 360, 362, 369, 370, 371, 375, 419, 426, 430, 446, 481, 500, 613, 616, 619, 624, 626, 630, 635, 654, 656, 674, 678, 680, 681, 687, 689, 690, 694, 727, 754, 755, 763, 765, 775, 812, 825], "leaki": [46, 68, 107, 613, 775], "log_softmax": [46, 68, 613, 775], "0719": [46, 68, 108], "221": [46, 108], "mish": [46, 68, 613, 775], "30340147": [46, 109, 613], "86509842": [46, 68, 109, 613], "269": [46, 111], "731": [46, 111], "881": [46, 51, 74, 111, 221, 234, 274, 619], "422": [46, 112, 613], "155": [46, 79, 112, 613, 623, 647], "softplu": [46, 68, 613, 775, 832], "beta": [46, 52, 60, 68, 75, 83, 113, 298, 302, 308, 311, 312, 360, 362, 369, 370, 374, 375, 422, 447, 494, 498, 499, 613, 629, 724, 775, 832], "threshold": [46, 51, 52, 68, 74, 75, 113, 266, 267, 305, 331, 360, 365, 370, 371, 442, 447, 480, 613, 619, 775, 832], "union": [46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 180, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 552, 553, 556, 557, 559, 560, 564, 565, 569, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 601, 602, 603, 604, 605, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 778, 783, 784, 809, 812, 814, 815, 816, 818, 821, 822, 825, 830, 832, 834, 839, 848, 849, 850], "3461": [46, 68, 113, 613], "6491": [46, 68, 113, 613], "_array_to_new_backend": 47, "_to_ivi": 47, "_to_n": 47, "to_ignor": [47, 67, 90, 628, 716, 717], "_to_new_backend": 47, "args_to_ivi": 47, "include_deriv": [47, 70, 628, 706, 717, 760], "nest": [47, 69, 70, 98, 101, 238, 555, 584, 601, 604, 619, 621, 622, 627, 702, 703, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 783, 809, 811, 812, 822, 824, 830, 837, 838, 840, 842, 855], "unchang": [47, 51, 368, 371, 412, 463, 623, 646], "deriv": [47, 48, 52, 54, 70, 71, 75, 77, 126, 131, 138, 144, 307, 311, 336, 362, 365, 602, 603, 606, 607, 608, 609, 610, 616, 622, 627, 628, 704, 706, 717, 781, 783, 784, 814, 815, 836, 838], "word": [47, 121, 371, 466, 616, 630, 728, 776, 779, 812, 825, 826, 842], "args_to_n": [47, 825], "cont_inplac": 47, "decid": [47, 69, 628, 716, 717, 799, 804, 805, 814, 832], "args_to_new_backend": 47, "shallow": [47, 628, 712, 713, 717, 722, 723], "nativevari": 47, "mutabl": [47, 628, 706, 712, 713, 717, 722, 723, 810], "to_ivi": [47, 70, 628, 718, 825], "leaf": [47, 69, 76, 88, 98, 536, 628, 715, 716, 718, 745, 812, 822, 837], "travers": [47, 70, 628, 709, 717, 812, 814, 818, 834], "lowest": [47, 52, 61, 70, 75, 84, 380, 513, 628, 630, 717, 726, 793, 822, 840, 842, 852, 856, 860], "search": [47, 52, 70, 75, 731, 732, 771, 803, 805, 812, 816, 819, 829, 830, 844], "to_new_backend": 47, "_arraywithcr": [48, 97], "boolean": [48, 49, 51, 52, 53, 59, 62, 65, 69, 71, 72, 74, 75, 76, 82, 85, 88, 97, 98, 118, 120, 122, 123, 124, 130, 147, 163, 165, 167, 168, 171, 187, 197, 205, 211, 225, 226, 227, 228, 229, 230, 262, 263, 264, 265, 329, 330, 344, 365, 369, 371, 426, 435, 441, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 481, 487, 522, 525, 536, 543, 546, 547, 551, 552, 553, 554, 555, 556, 557, 566, 569, 572, 573, 575, 576, 600, 615, 616, 617, 618, 619, 621, 623, 626, 627, 628, 631, 634, 649, 689, 690, 691, 693, 695, 696, 698, 700, 702, 703, 715, 733, 734, 735, 747, 749, 763, 764, 765, 766, 771, 782, 812, 814, 822, 826, 829, 832], "alwai": [48, 49, 52, 53, 59, 71, 72, 75, 82, 105, 123, 147, 218, 268, 339, 365, 369, 371, 437, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 550, 613, 617, 619, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 765, 799, 804, 805, 806, 809, 810, 812, 814, 817, 820, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 840, 848], "never": [48, 52, 59, 71, 75, 82, 123, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 806, 814, 825, 826, 829], "valueerror": [48, 52, 59, 71, 75, 82, 86, 123, 368, 370, 401, 412, 446, 451, 452, 459, 461, 463, 464, 465, 472, 487, 626, 689, 690, 691, 693, 695, 696, 698, 700, 739, 765, 794, 818], "buffer": [48, 71, 75, 82, 123, 129, 451, 452, 459, 461, 463, 464, 465, 472, 487, 616, 689, 690, 691, 693, 695, 696, 698, 700, 780, 781, 825, 840], "nativedtyp": [48, 49, 52, 56, 57, 61, 62, 65, 71, 75, 80, 84, 85, 88, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 143, 144, 146, 147, 152, 153, 154, 155, 156, 157, 158, 159, 164, 165, 169, 171, 173, 177, 187, 306, 307, 308, 309, 310, 311, 312, 327, 334, 349, 362, 365, 375, 380, 496, 497, 498, 499, 500, 510, 511, 512, 513, 516, 519, 616, 617, 623, 624, 630, 631, 633, 634, 646, 681, 726, 727, 728, 731, 732, 742, 744, 745, 750, 752, 778, 814, 815, 821, 830, 834], "datatyp": [48, 52, 69, 71, 75, 123, 131, 135, 152, 173, 177, 368, 415, 616, 617, 758, 830, 848], "nativedevic": [48, 50, 52, 61, 71, 73, 75, 84, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 142, 143, 144, 189, 190, 191, 192, 193, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 306, 307, 322, 362, 375, 496, 497, 499, 500, 616, 618, 630, 725, 726, 727, 728, 778, 783, 784, 814, 815, 818, 821, 830], "39999998": [48, 122, 123, 616, 632, 737], "5999999": [48, 52, 75, 79, 122, 123, 292, 360, 369, 417, 616, 623, 646, 652], "0999999": [48, 65, 122, 123, 292, 301, 304, 346, 360, 365, 616, 748], "10000038": [48, 122, 123, 616], "90786433e": [48, 122, 123, 616], "310": [48, 122, 123, 616], "copy_arrai": [48, 71, 616], "to_ivy_arrai": [48, 71, 124, 616], "empty_lik": [48, 52, 71, 75, 259, 369, 420, 616, 619], "uniniti": [48, 125, 126, 616, 820], "from_dlpack": [48, 71, 616], "full_lik": [48, 71, 616, 830], "fill_valu": [48, 52, 62, 71, 75, 85, 130, 131, 247, 255, 371, 375, 481, 500, 616, 619, 631, 734, 814, 827, 830], "scalar": [48, 51, 52, 53, 57, 68, 71, 74, 75, 76, 80, 92, 107, 131, 136, 218, 239, 284, 290, 332, 333, 335, 339, 342, 344, 346, 351, 365, 368, 369, 371, 415, 422, 451, 452, 453, 462, 467, 587, 600, 616, 619, 621, 624, 681, 814, 824, 826, 840, 855], "fill": [48, 51, 52, 61, 62, 69, 71, 74, 75, 84, 85, 125, 130, 131, 133, 136, 137, 138, 143, 144, 269, 307, 362, 369, 371, 375, 426, 430, 435, 441, 462, 481, 482, 497, 499, 500, 616, 619, 630, 631, 726, 734, 778, 804, 827], "000123": [48, 131, 616], "stop": [48, 52, 54, 71, 75, 77, 121, 132, 133, 208, 369, 435, 441, 566, 603, 606, 608, 609, 610, 611, 616, 618, 621, 622, 627, 628, 702, 703, 704, 716, 783, 821, 824, 832, 834, 840, 855], "num": [48, 71, 132, 133, 616, 763, 806, 821, 834], "endpoint": [48, 71, 132, 133, 616, 778, 821], "logspac": [48, 71, 616, 834], "log": [48, 51, 52, 57, 71, 74, 75, 80, 113, 133, 258, 260, 273, 294, 295, 347, 354, 360, 365, 370, 375, 443, 445, 446, 496, 613, 616, 619, 672, 763, 765, 766, 775, 806, 812, 813, 816, 822, 825, 826, 827, 829, 831, 832, 834, 837], "sequenc": [48, 52, 56, 57, 59, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 127, 129, 131, 133, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 310, 317, 318, 319, 320, 321, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 358, 359, 362, 365, 366, 367, 368, 369, 371, 375, 380, 381, 383, 384, 391, 392, 393, 395, 396, 400, 401, 403, 410, 411, 412, 413, 414, 417, 425, 426, 427, 429, 433, 434, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 457, 458, 459, 460, 466, 468, 469, 471, 472, 474, 477, 479, 481, 482, 483, 487, 488, 489, 491, 492, 493, 495, 497, 498, 510, 511, 512, 513, 520, 521, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 604, 605, 606, 611, 616, 619, 621, 622, 623, 624, 626, 628, 634, 635, 636, 637, 638, 639, 640, 641, 643, 645, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 681, 683, 684, 685, 686, 687, 689, 690, 692, 693, 694, 695, 696, 697, 700, 701, 705, 712, 722, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 782, 784, 806, 813, 814, 815, 816, 818, 829, 830, 832, 834, 839, 858], "on_valu": [48, 71, 133, 136, 616], "off_valu": [48, 71, 133, 136, 616], "evenli": [48, 51, 52, 56, 59, 69, 71, 74, 75, 79, 82, 121, 132, 133, 287, 368, 410, 414, 616, 619, 623, 626, 636, 637, 638, 639, 641, 643, 645, 695], "hint": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 809, 817, 819, 821, 822, 825, 826, 830], "simplic": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 817, 832, 838], "nestabl": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 807, 816, 817, 825, 829, 842], "464": [48, 51, 84, 133, 222, 223, 619], "15888336": [48, 133], "2154": [48, 133], "43469003": [48, 133], "meshgrid": [48, 71, 616], "spars": [48, 52, 58, 71, 75, 81, 134, 310, 362, 369, 426, 435, 441, 616, 625, 685], "xy": [48, 71, 134, 616], "dimension": [48, 51, 52, 57, 59, 62, 65, 66, 69, 71, 74, 75, 80, 82, 88, 89, 97, 121, 127, 129, 134, 142, 287, 322, 329, 330, 362, 365, 368, 369, 371, 380, 395, 396, 400, 401, 411, 412, 419, 451, 452, 453, 457, 462, 463, 508, 520, 616, 619, 624, 626, 631, 634, 635, 654, 655, 661, 664, 667, 669, 670, 680, 681, 695, 731, 732, 734, 747, 748, 749, 750, 751, 752, 753, 754, 755, 822, 824, 829, 832, 834, 852, 855, 862], "repres": [48, 51, 52, 56, 57, 74, 75, 79, 80, 95, 120, 134, 136, 159, 217, 218, 221, 224, 233, 235, 242, 268, 281, 285, 286, 310, 324, 325, 326, 342, 359, 362, 365, 367, 368, 369, 370, 371, 374, 375, 378, 410, 414, 428, 440, 446, 473, 484, 489, 490, 491, 496, 502, 509, 545, 615, 616, 617, 619, 621, 623, 624, 646, 647, 661, 669, 672, 673, 765, 778, 782, 793, 805, 809, 814, 832, 836, 852, 853, 856], "coordin": [48, 51, 62, 74, 75, 85, 134, 142, 223, 285, 314, 315, 322, 342, 362, 376, 501, 616, 619, 631, 734], "conserv": [48, 134, 616], "cartesian": [48, 134, 616], "matrix": [48, 52, 53, 56, 57, 75, 76, 79, 80, 92, 93, 95, 97, 134, 140, 141, 142, 322, 323, 362, 369, 371, 380, 418, 421, 422, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 440, 441, 471, 510, 522, 528, 616, 621, 623, 624, 647, 653, 655, 657, 658, 659, 660, 662, 664, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 676, 678, 679, 682, 763, 765, 778, 779, 793, 804, 814, 826, 853, 855], "ij": [48, 65, 134, 616, 634, 746, 793], "respect": [48, 51, 52, 54, 57, 74, 75, 77, 80, 92, 134, 215, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 277, 281, 284, 285, 294, 342, 357, 360, 365, 367, 369, 371, 374, 424, 439, 450, 489, 491, 545, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 616, 619, 621, 622, 623, 624, 627, 636, 643, 644, 649, 654, 671, 674, 702, 703, 704, 760, 763, 778, 793, 803, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 821, 822, 824, 825, 826, 829, 830, 831, 851, 861], "rank": [48, 52, 57, 59, 66, 75, 80, 82, 89, 92, 93, 94, 95, 96, 101, 134, 317, 318, 319, 320, 321, 362, 369, 371, 380, 426, 427, 435, 438, 441, 473, 481, 520, 616, 624, 626, 631, 635, 654, 656, 665, 667, 671, 673, 678, 680, 681, 688, 689, 697, 700, 701, 734, 754, 755], "ni": [48, 134, 616], "xi": [48, 134, 616], "scatter": [48, 53, 71, 76, 136, 564, 565, 616, 621, 811, 825, 832, 862], "j": [48, 51, 52, 53, 57, 65, 71, 74, 75, 80, 92, 120, 136, 216, 217, 218, 219, 221, 224, 233, 235, 238, 240, 248, 256, 258, 262, 268, 279, 281, 282, 285, 286, 332, 365, 368, 369, 380, 395, 396, 400, 411, 412, 416, 421, 423, 432, 438, 520, 525, 615, 616, 619, 621, 624, 634, 658, 678, 746, 793, 806, 807, 811, 848, 851], "unless": [48, 52, 57, 71, 75, 136, 268, 328, 344, 349, 365, 616, 619, 624, 667, 810, 815, 825, 840, 849, 850], "ones_lik": [48, 71, 616, 810, 839], "tril": [48, 71, 616], "whose": [48, 51, 52, 53, 57, 59, 63, 65, 71, 74, 75, 76, 80, 82, 86, 88, 93, 95, 97, 131, 140, 141, 217, 221, 224, 232, 233, 234, 273, 274, 280, 281, 285, 286, 287, 323, 337, 341, 345, 346, 348, 352, 362, 369, 371, 421, 440, 472, 481, 486, 527, 582, 616, 619, 621, 624, 626, 632, 634, 653, 655, 657, 658, 659, 660, 661, 662, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 681, 690, 694, 736, 737, 738, 745, 746, 765, 817, 829], "innermost": [48, 52, 57, 80, 140, 141, 323, 362, 369, 421, 616, 624, 653, 655, 657, 658, 659, 660, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678], "mxn": [48, 52, 57, 80, 140, 141, 323, 362, 616, 624, 657, 665, 667, 668, 670, 671, 675, 678], "matric": [48, 52, 57, 75, 80, 92, 93, 97, 134, 140, 141, 323, 362, 369, 371, 421, 426, 427, 429, 433, 434, 439, 462, 616, 623, 624, 647, 653, 655, 657, 658, 659, 660, 661, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678, 679, 765, 802, 819, 855], "diagon": [48, 52, 57, 75, 80, 93, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 419, 422, 430, 436, 462, 616, 624, 656, 678], "triangular": [48, 52, 57, 80, 140, 141, 142, 322, 323, 362, 369, 436, 616, 624, 653, 659, 660, 667, 671], "alloc": [48, 49, 52, 72, 140, 141, 147, 323, 362, 616, 617, 804, 806, 840], "triu": [48, 71, 616], "upper": [48, 52, 57, 61, 75, 80, 84, 127, 141, 142, 307, 323, 362, 369, 380, 436, 513, 616, 624, 630, 653, 659, 660, 671, 728, 814, 825, 829], "zeros_lik": [48, 52, 71, 147, 264, 371, 481, 602, 603, 606, 608, 609, 610, 616, 617, 619, 622, 624, 626, 671, 686, 826, 832], "data_typ": [49, 52, 72, 75, 177, 617, 811, 814, 829, 830], "_arraywithdatatyp": [49, 97], "irrespect": [49, 57, 72, 80, 147, 617, 624, 674, 812, 825, 836, 862], "promot": [49, 51, 52, 57, 72, 74, 75, 80, 87, 97, 98, 147, 150, 173, 174, 175, 181, 216, 217, 218, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 232, 233, 235, 238, 240, 242, 256, 257, 258, 259, 260, 265, 268, 273, 277, 280, 281, 282, 283, 284, 285, 286, 289, 339, 347, 352, 365, 368, 380, 411, 510, 573, 595, 617, 619, 621, 624, 626, 634, 653, 654, 661, 662, 664, 665, 666, 667, 669, 670, 672, 673, 680, 681, 687, 697, 740, 748, 751, 763, 764, 808, 817, 818, 822, 831], "nan": [49, 51, 52, 53, 63, 65, 72, 74, 75, 76, 147, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 234, 235, 236, 238, 240, 241, 242, 243, 244, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 269, 271, 273, 274, 277, 278, 279, 280, 281, 282, 285, 286, 288, 294, 328, 329, 330, 340, 344, 349, 352, 360, 365, 371, 380, 481, 508, 509, 516, 517, 518, 519, 546, 600, 614, 617, 619, 621, 632, 634, 635, 736, 737, 738, 739, 747, 748, 749, 751, 752, 753, 754, 755, 763, 766, 808, 814, 817, 824, 830, 831], "infin": [49, 51, 53, 57, 72, 74, 80, 147, 215, 216, 217, 218, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 256, 257, 258, 259, 260, 263, 268, 269, 271, 273, 277, 278, 280, 281, 282, 285, 286, 288, 329, 330, 352, 365, 546, 614, 617, 619, 621, 624, 634, 635, 672, 681, 747, 749, 754, 755, 808, 817], "desir": [49, 50, 52, 62, 69, 72, 73, 75, 85, 92, 147, 149, 150, 209, 313, 353, 362, 365, 371, 380, 471, 516, 519, 520, 617, 618, 624, 631, 676, 733, 778, 779, 806, 810, 813, 814, 815, 826, 834, 844, 848, 855], "broadcast_arrai": [49, 72, 617], "mix": [49, 51, 72, 74, 75, 76, 81, 84, 97, 98, 148, 161, 162, 175, 194, 195, 225, 228, 229, 230, 235, 236, 242, 246, 254, 255, 265, 268, 271, 277, 370, 380, 447, 517, 536, 538, 539, 540, 541, 550, 584, 587, 617, 618, 619, 621, 623, 624, 625, 626, 629, 634, 637, 639, 642, 644, 645, 647, 652, 653, 676, 683, 685, 686, 724, 746, 748, 751, 764, 766, 804, 807, 814, 815, 816, 825, 832, 834, 842, 855, 859, 861], "broadcast_to": [49, 72, 617, 814], "can_cast": [49, 72, 617, 814, 822, 826], "accord": [49, 52, 53, 59, 65, 72, 82, 88, 150, 160, 218, 229, 235, 242, 268, 279, 313, 362, 368, 371, 412, 473, 540, 543, 564, 565, 617, 619, 621, 624, 626, 634, 680, 688, 701, 751, 753, 758, 765, 785, 792, 804, 805, 808, 814, 820, 822, 826, 829], "finfo": [49, 72, 617, 829], "resolut": [49, 72, 160, 617, 806], "4028235e": [49, 160, 617], "iinfo": [49, 72, 617], "integ": [49, 51, 52, 56, 57, 59, 61, 65, 66, 69, 74, 75, 76, 79, 80, 82, 84, 88, 89, 97, 98, 121, 130, 163, 164, 170, 174, 175, 179, 215, 225, 226, 227, 228, 229, 230, 231, 241, 242, 253, 265, 270, 273, 277, 278, 288, 289, 324, 325, 326, 329, 330, 334, 338, 339, 362, 365, 368, 371, 375, 378, 380, 395, 400, 410, 413, 414, 415, 459, 468, 473, 481, 487, 496, 497, 498, 499, 500, 502, 503, 508, 510, 511, 512, 517, 520, 543, 559, 569, 601, 616, 617, 619, 621, 623, 624, 626, 630, 633, 634, 635, 636, 637, 638, 639, 641, 643, 645, 654, 656, 666, 680, 681, 695, 725, 726, 727, 728, 729, 730, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 771, 779, 793, 806, 812, 814, 824, 827, 829, 834, 836], "119": [49, 163], "1220": [49, 163], "int16": [49, 52, 61, 65, 72, 84, 150, 154, 156, 161, 163, 170, 185, 380, 511, 512, 617, 634, 726, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "32768": [49, 72, 163, 580, 621], "32767": [49, 72, 163], "is_bool_dtyp": [49, 72, 617], "is_float_dtyp": [49, 72, 617, 830], "is_int_dtyp": [49, 72, 617, 827, 830], "is_uint_dtyp": [49, 72, 617, 827, 830], "result_typ": [49, 72, 617, 814], "arrays_and_dtyp": [49, 72, 175, 617], "_arraywithdevic": [50, 97], "move": [50, 52, 73, 75, 142, 205, 209, 213, 322, 362, 371, 472, 616, 618, 781, 799, 806, 815, 830], "addit": [50, 52, 53, 60, 73, 75, 76, 83, 118, 120, 209, 218, 278, 374, 380, 494, 509, 514, 533, 534, 535, 601, 615, 618, 619, 621, 623, 627, 629, 649, 704, 724, 779, 793, 804, 805, 806, 810, 814, 816, 817, 820, 822, 824, 825, 826, 829, 830, 832, 836, 837, 839, 848, 855, 856, 857, 861], "__dlpack__": [50, 73, 128, 209, 616, 618], "caveat": [50, 73, 209, 370, 445, 618], "portabl": [50, 73, 209, 618, 799, 853], "_arraywithelementwis": [51, 97], "ab": [51, 57, 67, 74, 90, 97, 98, 273, 328, 344, 365, 371, 480, 619, 624, 628, 665, 675, 681, 713, 716, 760, 792, 793, 802, 809, 814, 819, 823, 826, 829], "absolut": [51, 52, 57, 67, 69, 74, 75, 80, 97, 215, 279, 328, 344, 347, 353, 365, 369, 370, 422, 437, 442, 444, 619, 624, 665, 666, 667, 672, 758, 760, 763, 765, 766, 800, 805], "aco": [51, 74, 619], "invers": [51, 52, 57, 74, 75, 80, 216, 217, 220, 221, 222, 223, 224, 368, 378, 390, 399, 401, 411, 502, 619, 624, 662, 666, 670, 785, 814], "cosin": [51, 74, 216, 217, 232, 233, 306, 309, 362, 368, 389, 399, 619, 779], "acosh": [51, 74, 161, 162, 617, 619, 802, 819], "area": [51, 52, 74, 75, 79, 217, 221, 224, 368, 403, 410, 414, 619, 825, 832, 845, 851], "hyperbol": [51, 74, 217, 221, 224, 233, 281, 285, 286, 298, 302, 360, 619], "sector": [51, 74, 217, 221, 224, 619, 845], "second": [51, 52, 54, 57, 59, 63, 74, 75, 76, 77, 80, 82, 86, 93, 97, 98, 118, 142, 173, 181, 218, 223, 225, 227, 228, 229, 230, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 268, 271, 273, 284, 313, 322, 328, 340, 342, 343, 344, 350, 354, 355, 362, 365, 369, 370, 371, 378, 380, 420, 421, 422, 424, 428, 447, 479, 486, 497, 499, 503, 510, 513, 525, 574, 596, 602, 603, 608, 615, 616, 617, 619, 621, 622, 624, 626, 627, 628, 632, 654, 657, 658, 659, 661, 664, 669, 671, 672, 674, 676, 678, 680, 697, 698, 703, 706, 736, 737, 738, 783, 805, 808, 811, 814, 816, 820, 825, 826, 829, 831, 836, 846, 860], "multipli": [51, 52, 56, 65, 74, 75, 79, 92, 218, 284, 345, 368, 369, 403, 432, 433, 511, 512, 619, 623, 634, 646, 744, 750, 806, 809, 810, 812, 816], "angl": [51, 74, 223, 233, 281, 286, 343, 365, 619], "deg": [51, 74, 219, 619], "radian": [51, 52, 74, 75, 216, 219, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 619, 817], "degre": [51, 52, 65, 74, 75, 88, 219, 234, 274, 316, 362, 371, 479, 619, 634, 751, 753, 854], "1j": [51, 74, 75, 219, 220, 232, 233, 238, 240, 252, 275, 280, 281, 285, 332, 579, 619, 621], "2j": [51, 52, 74, 75, 219, 248, 332, 368, 395, 400, 580, 619, 621], "3j": [51, 52, 74, 75, 219, 252, 275, 332, 365, 619], "35619449": [51, 219, 619], "78539816": [51, 219, 619], "135": [51, 219, 528, 619, 621], "asin": [51, 74, 619], "sine": [51, 74, 220, 221, 280, 281, 619], "927": [51, 74, 220], "asinh": [51, 74, 220, 619], "atan": [51, 74, 619], "tangent": [51, 74, 222, 223, 224, 285, 286, 298, 302, 358, 360, 367, 619, 817], "785": [51, 74, 222, 223, 619], "atan2": [51, 74, 619], "quotient": [51, 74, 223, 235, 242, 619], "245": [51, 79, 223, 623, 646, 647], "588": [51, 223, 619], "inf": [51, 52, 53, 57, 74, 75, 76, 80, 223, 240, 249, 250, 251, 252, 256, 257, 259, 269, 294, 347, 360, 365, 369, 380, 418, 513, 546, 600, 614, 619, 621, 623, 624, 650, 665, 681, 763, 766, 802, 814, 819, 824], "719": [51, 223, 619], "197": [51, 223, 619], "atanh": [51, 74, 619], "549": [51, 74, 79, 224, 619, 623, 647], "bitwise_and": [51, 74, 619], "bitwise_invert": [51, 74, 619], "bitiwse_invert": [51, 226], "bitwise_left_shift": [51, 74, 619], "bitwise_or": [51, 74, 619], "bitwise_right_shift": [51, 74, 97, 619], "bitwise_xor": [51, 74, 97, 619], "ceil": [51, 52, 74, 75, 92, 95, 121, 368, 386, 387, 388, 404, 405, 406, 409, 616, 619, 779, 825], "round": [51, 52, 74, 75, 92, 94, 95, 96, 218, 231, 235, 241, 242, 268, 282, 288, 289, 338, 365, 619, 802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846], "416": [51, 232, 619], "540": [51, 232], "990": [51, 232], "cosh": [51, 74, 232, 619], "deg2rad": [51, 74, 619], "convers": [51, 52, 75, 234, 274, 566, 576, 621, 780, 781, 804, 833, 835, 839, 840, 842, 846, 854, 861], "180": [51, 74, 234, 274, 619], "270": [51, 74, 234, 274, 619], "360": [51, 74, 234, 274, 619, 813], "dividend": [51, 74, 235, 242, 277, 289, 619], "divisor": [51, 52, 54, 65, 74, 75, 77, 88, 235, 242, 245, 246, 277, 289, 368, 371, 386, 387, 388, 459, 468, 487, 602, 603, 608, 619, 622, 634, 751, 753, 779, 783], "375": [51, 236, 271], "erf": [51, 74, 337, 365, 619], "exponenti": [51, 52, 74, 75, 237, 238, 240, 260, 273, 290, 299, 360, 369, 431, 619], "gauss": [51, 74, 237, 619], "328": [51, 237, 285, 619], "677": [51, 237], "842": [51, 237, 285, 619], "71828198": [51, 74, 238], "38905573": [51, 74, 238], "08553696": [51, 74, 238, 619], "exp2": [51, 74, 619], "expm1": [51, 74, 619, 814], "244": [51, 240, 799], "918": [51, 240], "147": [51, 240, 619], "floor": [51, 52, 74, 75, 92, 95, 229, 242, 368, 386, 387, 388, 390, 404, 405, 406, 409, 619, 779, 825], "floor_divid": [51, 74, 619, 771, 814], "fmin": [51, 74, 619, 814], "gcd": [51, 74, 619, 814], "greater": [51, 52, 56, 59, 61, 74, 75, 79, 84, 97, 98, 129, 216, 217, 220, 221, 223, 224, 227, 229, 235, 241, 242, 256, 258, 273, 277, 279, 281, 282, 286, 287, 288, 331, 365, 368, 390, 395, 400, 411, 616, 619, 623, 624, 626, 630, 652, 654, 666, 696, 728, 765, 779, 806, 827], "greater_equ": [51, 74, 97, 98, 260, 619], "imaginari": [51, 74, 97, 107, 110, 113, 137, 138, 216, 217, 218, 233, 235, 236, 238, 240, 248, 268, 270, 271, 278, 281, 282, 286, 332, 365, 368, 369, 411, 422, 613, 616, 619, 631, 734, 816], "4j": [51, 74, 248, 368, 411, 580, 619, 621], "6j": [51, 52, 74, 248, 252, 332, 619], "isfinit": [51, 74, 619, 826], "out_i": [51, 74, 249, 250, 251, 252, 275, 619], "self_i": [51, 74, 249, 250, 251, 252, 275], "finit": [51, 74, 215, 216, 217, 218, 221, 223, 224, 233, 235, 236, 238, 240, 242, 249, 250, 256, 258, 268, 269, 271, 273, 277, 281, 282, 286, 619], "isinf": [51, 74, 619], "detect_posit": [51, 74, 250, 619], "detect_neg": [51, 74, 250, 619], "isnan": [51, 74, 619], "isreal": [51, 74, 619], "5j": [51, 74, 75, 252, 275, 332, 365, 619], "lcm": [51, 74, 619, 814], "less": [51, 52, 57, 61, 65, 74, 75, 80, 84, 97, 98, 216, 217, 220, 223, 224, 231, 235, 242, 256, 257, 258, 259, 273, 277, 279, 282, 351, 365, 368, 369, 380, 389, 390, 399, 411, 435, 441, 510, 513, 619, 624, 630, 634, 665, 666, 667, 670, 681, 728, 751, 753, 779, 805, 806, 812, 814, 816, 818, 821, 826, 829, 832, 833, 834, 845, 855, 857], "less_equ": [51, 74, 97, 98, 619, 818], "log10": [51, 52, 74, 313, 362, 619], "logarithm": [51, 74, 238, 256, 257, 258, 259, 260, 336, 347, 365, 619, 624, 672], "602": [51, 257, 619], "699": [51, 257, 619], "log1p": [51, 74, 619, 824], "693": [51, 74, 112, 221, 258, 613, 619, 625, 685], "0953": [51, 74, 256, 258, 619], "log2": [51, 74, 261, 619], "logaddexp": [51, 74, 619], "logaddexp2": [51, 74, 619, 802, 819], "169925": [51, 74, 261, 619], "logical_and": [51, 74, 619, 826, 832, 862], "logical_not": [51, 74, 619, 814], "logical_or": [51, 74, 619, 862], "conform": [51, 57, 74, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 817, 820], "api_specif": [51, 52, 74, 75, 150, 238, 248, 249, 264, 329, 330, 365, 368, 371, 411, 481, 617, 619, 626, 634, 701, 751, 817], "array_api": [51, 74, 150, 238, 248, 249, 264, 368, 371, 411, 481, 617, 619, 624, 626, 634, 672, 673, 701, 751, 817], "logical_xor": [51, 74, 619], "maximum": [51, 52, 53, 54, 59, 62, 65, 69, 74, 75, 76, 77, 82, 85, 88, 98, 208, 293, 329, 330, 340, 353, 360, 365, 368, 369, 371, 380, 384, 394, 435, 438, 441, 473, 511, 513, 518, 528, 529, 537, 545, 608, 618, 619, 621, 622, 624, 626, 631, 634, 665, 686, 731, 732, 747, 749, 763, 765, 766, 771, 793, 806, 814, 816, 825, 837, 862], "use_wher": [51, 74, 266, 267, 619], "formula": [51, 52, 74, 235, 257, 259, 266, 267, 268, 313, 346, 362, 365, 374, 489, 491, 619], "exce": [51, 52, 75, 267, 371, 483, 619], "product": [51, 52, 56, 57, 65, 74, 75, 79, 80, 88, 92, 93, 95, 268, 358, 359, 367, 369, 380, 417, 420, 424, 427, 428, 429, 432, 433, 434, 511, 512, 519, 619, 623, 624, 634, 649, 652, 654, 661, 664, 669, 676, 680, 744, 745, 746, 750, 751, 793, 804, 834, 855, 857], "nan_to_num": [51, 74, 619], "posinf": [51, 74, 269, 619], "neginf": [51, 74, 269, 619], "5e": [51, 54, 74, 75, 269, 350, 608, 619, 622], "not_equ": [51, 74, 97, 98, 619], "pow": [51, 74, 97, 98, 619, 808], "expon": [51, 52, 53, 75, 76, 273, 339, 341, 345, 365, 374, 494, 580, 619, 621, 624, 666], "rad2deg": [51, 74, 619], "286": [51, 75, 274], "458": [51, 274], "573": [51, 274, 619], "reciproc": [51, 74, 619], "333": [51, 74, 235, 276, 529, 619, 621], "remaind": [51, 52, 59, 69, 74, 75, 82, 244, 619, 626, 695, 808, 825], "modulu": [51, 74, 277, 619, 825], "sign": [51, 52, 57, 63, 65, 74, 75, 80, 92, 121, 215, 216, 217, 218, 221, 223, 224, 229, 233, 235, 238, 240, 242, 268, 270, 277, 281, 282, 286, 333, 365, 369, 371, 380, 437, 480, 481, 511, 512, 616, 619, 624, 632, 634, 672, 736, 737, 738, 739, 744, 745, 750, 752, 799, 805, 814, 834, 839, 845], "x2_i": [51, 74, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 619, 808], "decim": [51, 74, 278, 619, 831], "0001": [51, 52, 75, 278, 279, 369, 435, 441, 763, 766, 783], "678": [51, 278, 279], "np_variant": [51, 74, 279, 619], "841": [51, 68, 74, 105, 280, 613, 619], "909": [51, 74, 76, 280, 619], "141": [51, 74, 147, 280, 617, 619], "sinh": [51, 74, 280, 619], "232": [51, 74, 281, 619], "sqrt": [51, 52, 74, 75, 368, 390, 395, 396, 400, 401, 411, 619, 778, 779, 799], "squar": [51, 52, 57, 74, 75, 80, 282, 369, 370, 374, 380, 421, 431, 442, 494, 510, 604, 605, 607, 612, 619, 622, 624, 628, 653, 655, 656, 658, 659, 660, 662, 666, 672, 673, 674, 679, 711, 799], "tanh": [51, 52, 74, 75, 285, 298, 302, 360, 619, 775, 834], "762": [51, 74, 286, 619], "964": [51, 74, 286, 619], "trapz": [51, 74, 619], "dx": [51, 74, 287, 619], "apart": [51, 74, 287, 619], "trapezoid": [51, 74, 287, 619], "trunc": [51, 74, 619], "025": [51, 288, 370, 447, 619, 627, 704], "trunc_divid": [51, 74, 619], "_arraywithactivationsexperiment": [52, 97], "celu": [52, 75, 360], "formul": [52, 68, 75, 93, 105, 290, 292, 360, 775], "elu": [52, 75, 293, 360, 775], "scaler": [52, 75, 291, 360, 763, 766, 829], "hardshrink": [52, 75, 360], "lambd": [52, 75, 292, 301, 360], "hardtanh": [52, 75, 360], "max_val": [52, 75, 293, 360], "min_val": [52, 75, 293, 360], "region": [52, 75, 293, 301, 360, 805], "19722438": [52, 75, 294, 360], "38629448": [52, 75, 294, 360], "38629436": [52, 75, 294, 360], "logsigmoid": [52, 75, 360, 775], "31326175": [52, 68, 295, 360], "126928": [52, 75, 295], "01814993": [52, 295], "00004578": [52, 295], "57888985": [52, 295], "31326169": [52, 75, 295, 360], "69314718": [52, 57, 68, 75, 80, 295, 347, 360, 365, 624, 672], "01104775": [52, 295], "prelu": [52, 75, 360, 775], "unidirect": [52, 296, 360], "relu6": [52, 75, 360, 775], "rectifi": [52, 68, 75, 107, 109, 110, 297, 300, 305, 360, 613], "scaled_tanh": [52, 75, 302, 360], "7159": [52, 75, 298, 302, 360], "amplitud": [52, 75, 298, 302, 360], "65537548": [52, 75, 298], "49570239": [52, 75, 298], "77637792": [52, 298], "selu": [52, 75, 360, 775], "11133075": [52, 299, 360], "05070102": [52, 75, 299, 360], "10140204": [52, 299, 360], "15210295": [52, 299, 360], "20280409": [52, 299, 360], "25350523": [52, 299, 360], "30420589": [52, 299, 360], "35490704": [52, 299, 360], "silu": [52, 75, 360, 775], "26894143": [52, 300], "73105854": [52, 75, 300], "softshrink": [52, 75, 360], "bound": [52, 75, 301, 313, 360, 362, 371, 456, 481, 482, 763, 814, 818, 826, 829, 834, 861], "tanhshrink": [52, 75, 360], "23840582": [52, 75, 303, 360], "condit": [52, 62, 75, 85, 118, 304, 319, 320, 362, 369, 418, 615, 628, 631, 715, 716, 735, 765, 808, 814, 816, 818, 822, 823, 825, 829, 848], "met": [52, 75, 304, 818], "hreshold": [52, 304], "thresholded_relu": [52, 75, 360], "_arraywithconversionsexperiment": [52, 97], "_arraywithcreationexperiment": [52, 97], "blackman_window": [52, 75, 362], "period": [52, 75, 281, 285, 306, 308, 309, 311, 312, 362, 368, 402, 619, 806], "window": [52, 56, 75, 79, 306, 308, 309, 311, 312, 327, 362, 368, 374, 386, 387, 388, 390, 404, 405, 406, 407, 409, 410, 414, 415, 494, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779, 801, 806, 811, 819, 860], "symmetr": [52, 57, 75, 80, 92, 93, 306, 308, 309, 311, 312, 362, 369, 371, 421, 473, 624, 653, 658, 659, 660, 682, 812], "38777878e": [52, 75, 306, 362], "40000000e": [52, 306, 362], "00000000e": [52, 57, 75, 76, 306, 337, 362, 368, 389, 395, 399, 400, 624, 671, 802, 819], "30000000e": [52, 75, 306, 362], "eye_lik": [52, 75, 362], "elsewher": [52, 75, 127, 307, 362, 616, 631, 735, 805], "mel_weight_matrix": [52, 75, 362], "num_mel_bin": [52, 75, 313, 362], "dft_length": [52, 75, 313, 362, 368, 390], "sample_r": [52, 75, 313, 362], "lower_edge_hertz": [52, 75, 313, 362], "upper_edge_hertz": [52, 75, 313, 362], "3000": [52, 75, 313, 362], "melweightmatrix": [52, 75, 313, 362], "linearli": [52, 53, 76, 313, 362, 537, 621, 624, 673], "frequenc": [52, 53, 75, 76, 313, 362, 380, 510, 537, 621, 806], "spectra": [52, 313, 362], "dft": [52, 75, 313, 362, 368], "stft": [52, 75, 313, 362, 368], "mel": [52, 75, 313, 362], "term": [52, 75, 306, 313, 316, 362, 370, 445, 446, 623, 648, 779, 793, 799, 806, 812, 834, 842, 844, 855], "hertz": [52, 313, 362], "2595": [52, 313, 362], "700": [52, 76, 313, 362, 541], "band": [52, 53, 75, 76, 313, 362, 537, 621], "spectrum": [52, 75, 313, 362], "n_fft": [52, 75, 313, 362, 368, 390], "signal": [52, 75, 313, 362, 368, 382, 383, 384, 389, 390, 399, 415, 779, 854, 855], "8000": [52, 75, 308, 313, 362], "75694758": [52, 313, 362], "trilu": [52, 75, 362], "retain": [52, 142, 322, 323, 362, 604, 616, 622, 824, 828, 842], "unsorted_segment_mean": [52, 75, 362], "segment_id": [52, 75, 324, 325, 326, 362, 785], "num_seg": [52, 75, 324, 325, 326, 362, 785], "identifi": [52, 75, 324, 325, 326, 362, 804, 808, 813, 814, 829, 832], "th": [52, 75, 93, 324, 325, 326, 335, 362, 365, 369, 380, 419, 426, 520], "distinct": [52, 63, 75, 324, 325, 326, 362, 632, 736, 737, 738, 739, 805, 812, 817, 824, 825, 826, 833, 845, 855], "unsorted_segment_min": [52, 75, 362], "unsorted_segment_sum": [52, 75, 362], "polyv": [52, 75, 362], "coeff": [52, 75, 316, 362], "polynomi": [52, 75, 316, 362], "coeffici": [52, 75, 308, 316, 362, 369, 436, 624, 673, 783], "indetermin": [52, 75, 316, 362], "simplifi": [52, 75, 316, 362, 792, 793, 818, 826, 834, 835, 838, 845, 848, 851, 853, 854, 855, 858, 861, 862], "substitut": [52, 75, 316, 362], "_arraywithdata_typeexperiment": [52, 97], "_arraywithdeviceexperiment": [52, 97], "_arraywithelementwiseexperiment": [52, 97], "equal_nan": [52, 75, 328, 344, 365], "toler": [52, 57, 75, 80, 328, 344, 365, 369, 422, 435, 441, 624, 667, 670, 758, 760, 808, 827, 855], "1e10": [52, 328, 344, 365], "00001e10": [52, 328, 344, 365], "00001e": [52, 328, 365], "amax": [52, 75, 365], "keepdim": [52, 57, 59, 62, 65, 66, 69, 75, 80, 82, 85, 88, 89, 329, 330, 334, 349, 356, 365, 366, 371, 380, 478, 515, 516, 517, 518, 519, 520, 624, 626, 631, 634, 635, 665, 681, 700, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 818, 826, 834], "singleton": [52, 57, 62, 65, 66, 75, 80, 85, 88, 89, 329, 330, 365, 624, 626, 631, 634, 635, 681, 689, 696, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 834], "amin": [52, 75, 365], "binar": [52, 75, 365], "map": [52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 91, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 365, 368, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 606, 611, 621, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 712, 713, 717, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 793, 809, 812, 814, 821, 822, 826, 829, 830, 837, 840, 842, 849, 856], "conj": [52, 75, 233, 238, 240, 281, 282, 286, 365, 619], "conjug": [52, 57, 75, 80, 332, 365, 368, 369, 375, 390, 416, 422, 432, 434, 436, 498, 624, 664, 668, 676], "copysign": [52, 75, 365], "unsign": [52, 65, 75, 333, 365, 371, 380, 481, 511, 512, 634, 744, 745, 750, 752, 764, 814, 834], "count_nonzero": [52, 75, 365], "diff": [52, 69, 75, 365, 816, 825], "prepend": [52, 75, 335, 365, 624, 626, 664, 689, 805], "differenc": [52, 75, 335, 365], "prior": [52, 75, 335, 365, 375, 498, 624, 676, 818, 830], "expand": [52, 53, 59, 75, 76, 335, 365, 371, 537, 621, 626, 689, 812, 828], "discret": [52, 75, 335, 365, 368, 389, 390, 395, 396, 399, 400, 401, 411, 412, 625, 684, 779], "digamma": [52, 75, 365], "7549271": [52, 336, 365], "92278427": [52, 75, 336, 365], "9988394": [52, 336, 365], "erfc": [52, 75, 365], "complementari": [52, 75, 327, 337, 362, 365, 853, 861], "84270084e": [52, 337], "80259693e": [52, 337], "toward": [52, 59, 75, 82, 242, 289, 338, 350, 365, 371, 380, 479, 513, 619, 626, 694, 799, 802, 804, 805, 819, 834, 851, 855], "float_pow": [52, 75, 365], "fmax": [52, 75, 365], "fmod": [52, 75, 619], "divis": [52, 53, 54, 75, 76, 77, 229, 235, 242, 244, 277, 279, 289, 371, 459, 571, 579, 593, 602, 603, 608, 619, 621, 622, 623, 636, 643, 644, 783, 822, 831], "frexp": [52, 75, 365], "edge_ord": [52, 75, 342, 365], "estim": [52, 75, 342, 365, 380, 510], "boundari": [52, 61, 75, 84, 95, 319, 320, 342, 362, 365, 368, 403, 630, 728, 855], "33333333": [52, 75, 276, 342, 365, 619], "hypot": [52, 75, 365], "hypotenus": [52, 343, 365], "4031": [52, 343, 365], "8102": [52, 343, 365], "isclos": [52, 75, 365, 808], "ldexp": [52, 75, 365], "lerp": [52, 75, 365], "lgamma": [52, 365], "45373654": [52, 347, 365], "6477685": [52, 347, 365], "modf": [52, 75, 365], "fraction": [52, 75, 348, 365, 380, 520, 623, 646], "nansum": [52, 75, 365], "accumul": [52, 75, 349, 365, 371, 478], "nextaft": [52, 75, 365], "0e": [52, 54, 75, 77, 350, 365, 608, 622], "4013e": [52, 75, 350, 365], "4028e": [52, 75, 350, 365], "signbit": [52, 75, 365], "637": [52, 75, 352, 365], "0909": [52, 75, 352, 365], "sparsify_tensor": [52, 75, 365], "sparsifi": [52, 75, 353, 365], "arang": [52, 57, 65, 75, 80, 132, 353, 365, 368, 369, 386, 387, 388, 395, 400, 404, 405, 406, 409, 418, 433, 465, 560, 601, 616, 621, 624, 627, 634, 665, 681, 703, 704, 746, 799, 814, 825, 862], "xlogi": [52, 75, 365], "0986": [52, 75, 354, 365], "3863": [52, 75, 354, 365], "0000": [52, 75, 308, 309, 312, 354, 362, 365, 369, 371, 431, 467], "zeta": [52, 75, 365], "0369": [52, 75, 355, 365], "_arraywithgeneralexperiment": [52, 97], "init_valu": [52, 75, 79, 356, 366, 368, 410], "reduct": [52, 53, 58, 66, 69, 75, 76, 79, 81, 89, 356, 366, 368, 370, 371, 410, 442, 443, 444, 445, 446, 447, 448, 478, 534, 564, 565, 621, 625, 635, 683, 684, 685, 754, 755, 780, 814, 822, 825, 829, 836], "_arraywithgradientsexperiment": [52, 97], "_arraywithimageexperiment": [52, 97], "_arraywithlayersexperiment": [52, 97], "adaptive_avg_pool1d": [52, 75, 368], "1d": [52, 75, 92, 93, 368, 369, 371, 380, 382, 389, 391, 393, 399, 432, 451, 456, 478, 482, 510, 763, 779], "adapt": [52, 75, 77, 368, 382, 383, 384, 609, 622, 779, 783, 845], "pool": [52, 75, 79, 368, 382, 383, 384, 386, 387, 388, 404, 405, 406, 407, 410, 779, 805], "plane": [52, 75, 235, 238, 240, 268, 280, 281, 282, 285, 368, 371, 382, 383, 384, 479, 619], "l_in": [52, 75, 368, 382], "spatial": [52, 56, 75, 79, 368, 374, 382, 383, 384, 403, 410, 414, 489, 490, 491, 494, 623, 636, 637, 638, 639, 641, 643, 645, 782], "Will": [52, 75, 368, 382, 383, 384, 788, 840], "l_out": [52, 75, 368, 382], "nhwc": [52, 56, 75, 79, 368, 374, 383, 387, 392, 405, 409, 494, 623, 636, 639, 640, 643, 644, 645, 779], "3d": [52, 57, 75, 368, 383, 391, 392, 453, 624, 661, 779, 832], "4d": [52, 75, 368, 369, 374, 383, 392, 393, 440, 494], "s_0": [52, 75, 368, 383, 384], "s_1": [52, 75, 368, 383, 384], "adaptive_max_pool2d": [52, 75, 368], "h_in": [52, 75, 368, 384], "w_in": [52, 75, 368, 384], "avg_pool1d": [52, 75, 368], "kernel": [52, 56, 75, 79, 368, 386, 387, 388, 404, 405, 406, 407, 623, 648, 834, 840, 855, 858, 859], "nwc": [52, 56, 75, 79, 368, 386, 391, 404, 407, 623, 636, 637, 638, 643, 644, 779], "count_include_pad": [52, 75, 368, 386, 387, 388, 779], "d_in": [52, 56, 75, 79, 368, 386, 387, 388, 390, 395, 396, 400, 404, 405, 406, 407, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645], "algorithm": [52, 56, 68, 75, 79, 105, 368, 369, 386, 387, 388, 403, 404, 405, 406, 407, 435, 437, 441, 624, 637, 639, 640, 641, 642, 645, 672, 775, 779, 793, 814, 826, 832, 840, 855, 857, 859], "ncw": [52, 56, 75, 79, 368, 386, 391, 392, 404, 407, 623, 636, 637, 638, 643, 644, 779], "avg_pool2d": [52, 75, 368], "divisor_overrid": [52, 75, 368, 386, 387, 388, 779], "avg_pool3d": [52, 75, 368], "ndhwc": [52, 56, 75, 79, 368, 388, 393, 406, 623, 636, 641, 642, 643, 644, 779], "volum": [52, 56, 75, 79, 368, 388, 390, 395, 396, 400, 406, 623, 641, 642], "ncdhw": [52, 56, 75, 79, 368, 388, 393, 406, 623, 636, 641, 642, 643, 644, 779], "dct": [52, 75, 368, 779, 837], "truncat": [52, 75, 368, 369, 389, 395, 399, 400, 401, 412, 439, 567, 621, 779, 818, 837], "larger": [52, 59, 65, 75, 82, 88, 160, 368, 389, 396, 399, 401, 412, 617, 626, 634, 686, 694, 751, 753, 779, 829, 832, 862], "ortho": [52, 75, 368, 389, 390, 395, 396, 399, 400, 401, 411, 412, 779], "onesid": [52, 75, 368, 390], "fft": [52, 75, 368, 390, 396, 411, 412, 415, 779, 804, 855], "symmetri": [52, 368, 390], "rfft": [52, 75, 368, 390, 412], "invok": [52, 368, 390, 799, 820, 848, 849], "batch_idx": [52, 368, 390], "signal_dim1": [52, 368, 390], "signal_dim2": [52, 368, 390], "signal_dimn": [52, 368, 390], "signal_dim": [52, 368, 390], "embed": [52, 75, 368, 623, 649, 765, 779, 855], "max_norm": [52, 53, 75, 76, 368, 394, 528, 529, 621, 779], "ifft": [52, 75, 368, 395, 401, 779], "pi": [52, 75, 281, 285, 368, 370, 395, 400, 446, 614, 619], "44509285e": [52, 75, 368, 395], "14423775e": [52, 75, 368, 395], "17j": [52, 75, 368, 395, 400], "11483250e": [52, 75, 368, 395], "16j": [52, 75, 368, 395, 400], "33486982e": [52, 75, 368, 395], "22464680e": [52, 75, 368, 395], "95799250e": [52, 75, 368, 395], "66951701e": [52, 75, 368, 395], "fft2": [52, 368], "vari": [52, 63, 92, 93, 286, 396, 533, 619, 621, 624, 632, 671, 737, 738, 739, 793, 812, 816, 826, 829, 836], "20477401j": [52, 368, 396], "0614962j": [52, 368, 396], "idct": [52, 75, 368], "49862671": [52, 75, 368, 389, 399], "37691498": [52, 75, 368, 389, 399], "00390816": [52, 75, 368, 389, 399], "58938599": [52, 75, 368, 389, 399], "92713165": [52, 75, 368, 389, 399], "078475": [52, 75, 368, 389, 399], "19664812": [52, 75, 368, 389, 399], "95411837": [52, 75, 368, 389, 399], "30636606e": [52, 75, 368, 400], "43029718e": [52, 75, 368, 400], "18j": [52, 75, 368, 395, 400], "53080850e": [52, 75, 368, 400], "58689626e": [52, 75, 368, 400], "24474906e": [52, 75, 368, 400], "91858728e": [52, 75, 368, 400], "01435406e": [52, 75, 368, 400], "ifftn": [52, 75, 368], "24730653": [52, 75, 368, 401], "90832391j": [52, 75, 368, 401], "49495562": [52, 75, 368, 401], "9039565j": [52, 75, 368, 401], "98193269": [52, 75, 368, 401], "49560517j": [52, 75, 368, 401], "93280757": [52, 75, 368, 401], "48075343j": [52, 75, 368, 401], "28526384": [52, 75, 368, 401], "3351205j": [52, 75, 368, 401], "2343787": [52, 75, 368, 401], "83528011j": [52, 75, 368, 401], "18791352": [52, 75, 368, 401], "30690572j": [52, 75, 368, 401], "82115787": [52, 75, 368, 401], "96195183j": [52, 75, 368, 401], "44719226": [52, 75, 368, 401], "72654048j": [52, 75, 368, 401], "51476765": [52, 368, 401], "66160417j": [52, 368, 401], "04319742": [52, 368, 401], "05411636j": [52, 368, 401], "015561": [52, 368, 401], "04216015j": [52, 368, 401], "06310689": [52, 368, 401], "05347854j": [52, 368, 401], "13392983": [52, 368, 401], "16052352j": [52, 368, 401], "08371392": [52, 368, 401], "17252843j": [52, 368, 401], "0031429": [52, 368, 401], "05421245j": [52, 368, 401], "10446617": [52, 368, 401], "17747098j": [52, 368, 401], "05344324": [52, 368, 401], "07972424j": [52, 368, 401], "8344667": [52, 75, 368, 401], "98222595j": [52, 75, 368, 401], "48472244": [52, 75, 368, 401], "30233797j": [52, 75, 368, 401], "recompute_scale_factor": [52, 75, 368, 403, 832], "antialia": [52, 75, 368, 403, 832], "height": [52, 53, 56, 75, 76, 79, 368, 403, 533, 621, 623, 639, 640, 641, 642, 645, 837], "width": [52, 53, 56, 75, 76, 79, 368, 369, 371, 374, 380, 403, 422, 473, 494, 513, 533, 621, 623, 637, 638, 639, 640, 641, 642, 645, 649], "trilinear": [52, 75, 368, 403, 832], "nearest_exact": [52, 75, 368, 403, 832], "tf_area": [52, 75, 368, 403, 832], "mitchellcub": [52, 75, 368, 403, 832], "lanczos3": [52, 75, 368, 403, 832], "lanczos5": [52, 75, 368, 403, 832], "gaussian": [52, 75, 105, 368, 403, 613, 832], "overwrit": [52, 69, 75, 208, 368, 403, 618, 806, 825, 826, 834], "thu": [52, 75, 229, 242, 277, 285, 286, 368, 369, 403, 421, 619, 624, 658, 659, 804, 813, 818, 823, 826, 830], "antialias": [52, 75, 403], "max_pool1d": [52, 75, 368], "dilaton": [52, 75, 404, 405, 406], "max_pool3d": [52, 75, 368], "max_unpool1d": [52, 75, 368], "unpool": [52, 75, 368, 407], "reduce_window": [52, 79, 368], "window_dimens": [52, 79, 368, 410], "window_strid": [52, 79, 368, 410], "base_dil": [52, 79, 368, 410], "window_dil": [52, 79, 368, 410], "trim": [52, 69, 75, 368, 371, 411, 484], "orthonorm": [52, 57, 75, 80, 368, 411, 624, 671, 674], "8660254j": [52, 75, 368, 411], "rfftn": [52, 75, 368], "sliding_window": [52, 75, 368], "window_s": [52, 75, 368, 414], "frame_length": [52, 75, 368, 415], "frame_step": [52, 75, 368, 415], "fft_length": [52, 75, 368, 415], "window_fn": [52, 75, 368, 415], "pad_end": [52, 75, 368, 415], "smallest": [52, 69, 75, 160, 163, 231, 368, 371, 415, 483, 617, 619, 624, 665, 763, 765, 766], "enclos": [52, 75, 368, 415, 856], "window_length": [52, 75, 306, 308, 311, 312, 327, 362, 368, 415], "li": [52, 75, 368, 369, 380, 415, 422, 520, 844], "past": [52, 75, 368, 415, 806, 808, 827, 829, 841, 855], "fft_unique_bin": [52, 75, 368, 415], "complex64": [52, 72, 75, 153, 167, 176, 182, 248, 275, 368, 411, 415, 617, 619, 624, 672, 674, 675, 764, 814, 819], "complex128": [52, 75, 76, 153, 154, 167, 176, 182, 368, 415, 559, 617, 621, 624, 659, 660, 665, 681, 763, 764, 802, 814, 819], "compon": [52, 75, 137, 138, 216, 217, 218, 221, 224, 233, 235, 236, 238, 240, 268, 270, 271, 278, 281, 282, 285, 286, 317, 321, 332, 362, 365, 368, 369, 374, 415, 426, 435, 494, 616, 619, 631, 734, 799, 828, 834, 845, 851, 856, 858], "linear_algebra": [52, 57, 75, 80, 624, 830], "_arraywithlinearalgebraexperiment": [52, 97], "adjoint": [52, 57, 75, 80, 369, 436, 624, 662, 673, 674, 763], "batched_out": [52, 75, 369], "j1": [52, 75, 369, 417], "jn": [52, 75, 369, 417], "k1": [52, 75, 369, 417], "km": [52, 75, 369, 417], "outer": [52, 57, 75, 80, 92, 369, 417, 624, 627, 702, 703, 704, 793, 804], "30000001": [52, 75, 369, 417, 533, 621, 632, 737], "40000001": [52, 56, 68, 75, 97, 98, 107, 110, 291, 360, 369, 417, 613, 623, 632, 652, 737], "60000002": [52, 75, 88, 98, 369, 374, 417, 493, 495, 748], "80000001": [52, 75, 369, 374, 417, 493, 495], "60000001": [52, 75, 369, 417], "90000004": [52, 75, 369, 417, 634, 748], "20000002": [52, 75, 369, 417], "20000005": [52, 54, 75, 291, 298, 301, 302, 360, 369, 417, 602], "00000012": [52, 75, 369, 417], "49999994": [52, 75, 369, 417], "00000006": [52, 75, 369, 417], "60000014": [52, 75, 369, 417], "19999993": [52, 75, 369, 417], "80000007": [52, 75, 369, 417], "20000017": [52, 75, 369, 417], "89999992": [52, 75, 369, 417], "60000008": [52, 75, 369, 417], "80000019": [52, 75, 346, 365, 369, 417], "4000001": [52, 75, 79, 369, 417, 623, 646, 652], "cond": [52, 75, 118, 369, 615, 840], "933034373659268": [52, 418], "diagflat": [52, 75, 369, 428, 431], "offset": [52, 57, 60, 71, 75, 80, 83, 129, 369, 374, 419, 489, 490, 491, 616, 624, 629, 657, 678, 724, 770], "padding_valu": [52, 75, 369, 419], "right_left": [52, 75, 369, 419], "num_row": [52, 75, 369, 419], "num_col": [52, 75, 369, 419], "dot": [52, 56, 75, 79, 92, 369, 433, 623, 624, 649, 652, 680, 793, 799, 805, 813], "eig": [52, 57, 75, 369, 624, 659, 660], "37228132": [52, 75, 369, 421, 423, 658], "82456484": [52, 421, 658], "41597356": [52, 421, 658], "56576746": [52, 421, 658], "90937671": [52, 421, 658], "eigh_tridiagon": [52, 75, 369], "eigvals_onli": [52, 75, 369, 422], "select_rang": [52, 75, 369, 422], "tol": [52, 75, 96, 369, 422, 435, 441], "eigenvalu": [52, 57, 75, 80, 92, 93, 369, 421, 422, 423, 624, 658, 659, 660, 667], "eigenvector": [52, 75, 369, 421, 422, 624, 658, 659], "interv": [52, 61, 66, 75, 84, 89, 121, 132, 133, 140, 369, 380, 422, 513, 616, 624, 626, 630, 635, 654, 680, 686, 689, 697, 726, 728, 754, 755], "togeth": [52, 69, 75, 328, 344, 365, 369, 422, 784, 799, 809, 812, 814, 825, 826, 829, 830, 832, 838, 839, 840, 845, 853, 855, 856, 861], "cluster": [52, 75, 369, 422, 840, 855], "converg": [52, 75, 369, 422, 846], "_2": [52, 75, 369, 422], "eig_val": [52, 75, 369, 422], "decreas": [52, 75, 369, 422, 765], "eig_vector": [52, 75, 369, 422], "38196": [52, 422], "61803": [52, 422], "eigval": [52, 75, 369], "general_inner_product": [52, 80, 369], "n_mode": [52, 80, 369, 424], "tradit": [52, 80, 369, 424], "inner": [52, 57, 71, 80, 101, 136, 369, 421, 424, 616, 624, 627, 658, 659, 664, 702, 703, 704, 793, 804, 825], "higher_order_mo": [52, 75, 369], "n_featur": [52, 75, 369, 425], "d1": [52, 75, 369, 425], "dn": [52, 75, 369, 425], "initialize_tuck": [52, 75, 369], "svd": [52, 57, 75, 80, 95, 369, 426, 430, 435, 437, 438, 439, 441, 624, 675], "truncated_svd": [52, 75, 369, 426, 435, 438, 441], "non_neg": [52, 75, 321, 362, 369, 426], "mask": [52, 56, 75, 79, 92, 368, 369, 371, 413, 426, 427, 435, 441, 480, 543, 621, 623, 646, 649, 652, 832], "svd_mask_repeat": [52, 75, 369, 426, 435, 441], "tuckertensor": [52, 75, 96, 321, 362, 369, 426, 435, 441], "scheme": [52, 75, 369, 426, 435, 808, 838, 855], "tucker": [52, 75, 321, 362, 369, 426, 435], "decomposit": [52, 57, 75, 80, 92, 93, 95, 317, 318, 319, 320, 321, 362, 369, 426, 435, 438, 440, 441, 624, 653, 659, 663, 671, 674, 804, 862], "miss": [52, 75, 369, 371, 426, 435, 441, 480, 783, 804, 805, 809, 812, 813, 816, 826, 829, 832], "everywher": [52, 75, 369, 426, 435, 441], "imput": [52, 75, 369, 426, 435, 441], "kron": [52, 75, 369, 431, 862], "make_svd_non_neg": [52, 75, 369, 439], "nntype": [52, 75, 369, 430], "nndsvd": [52, 75, 369, 430], "singular": [52, 57, 75, 80, 369, 426, 430, 437, 439, 624, 665, 667, 670, 674, 675, 763, 765, 814], "nndsvda": [52, 75, 369, 430], "boutsidi": [52, 75, 369, 430], "gallopoulo": [52, 75, 369, 430], "pattern": [52, 53, 75, 76, 369, 430, 533, 534, 535, 621, 814, 817, 828, 846], "recognit": [52, 75, 369, 430], "1350": [52, 75, 369, 430], "1362": [52, 75, 369, 430], "2008": [52, 75, 369, 430, 855], "matrix_exp": [52, 75, 369], "7183": [52, 75, 369, 431], "3891": [52, 75, 369, 431], "mode_dot": [52, 75, 91, 92, 96, 369], "matrix_or_vector": [52, 75, 92, 96, 369, 432], "i_1": [52, 75, 92, 93, 369, 432], "i_k": [52, 75, 92, 369, 432], "i_n": [52, 75, 92, 369, 432], "i_": [52, 75, 92, 369, 380, 432, 513], "multi_dot": [52, 75, 369], "148": [52, 74, 75, 238, 369, 433], "multi_mode_dot": [52, 75, 369], "mat_or_vec_list": [52, 75, 369, 434], "times_0": [52, 369, 434], "vec": [52, 369, 434], "times_1": [52, 369, 434], "cdot": [52, 268, 369, 434, 619], "times_n": [52, 369, 434], "partial_tuck": [52, 75, 369], "n_iter_max": [52, 75, 369, 435, 441], "verbos": [52, 75, 369, 435, 438, 441, 829, 834], "return_error": [52, 75, 369, 435, 441], "variat": [52, 75, 369, 435, 441, 816, 826, 829], "reconstruct": [52, 57, 63, 75, 86, 95, 369, 371, 435, 441, 486, 624, 632, 674, 736, 738, 827], "return_erro": [52, 369, 435, 441], "svd_flip": [52, 75, 369], "u_based_decis": [52, 75, 369, 437], "basi": [52, 75, 369, 437, 806, 808, 837], "flip": [52, 59, 75, 82, 92, 226, 369, 371, 437, 464, 465, 619, 626, 825, 836, 837, 839], "decis": [52, 75, 369, 437, 799, 808, 814, 832, 834, 836, 855], "u_adjust": [52, 75, 369, 437], "v_adjust": [52, 75, 369, 437], "tensor_train": [52, 75, 369], "tt": [52, 75, 320, 362, 369, 438, 440], "kth": [52, 369, 438], "tttensor": [52, 95, 320, 362, 369, 438], "compute_uv": [52, 57, 75, 80, 369, 439, 624, 674], "n_eigenvec": [52, 75, 369, 439], "returnedv": [52, 439], "vh": [52, 57, 75, 80, 369, 439, 624, 674], "eigen": [52, 75, 369, 439], "namedtupl": [52, 57, 63, 75, 80, 86, 369, 371, 421, 439, 486, 624, 632, 658, 659, 671, 672, 674, 736, 737, 738], "tt_matrix_to_tensor": [52, 75, 369], "known": [52, 75, 279, 369, 438, 440, 619, 778, 808, 813, 814, 826, 829], "rank_k": [52, 75, 369, 440], "left_dim_k": [52, 75, 369, 440], "right_dim_k": [52, 75, 369, 440], "rank_": [52, 75, 369, 440], "49671414": [52, 75, 369, 440, 630, 727], "1382643": [52, 75, 369, 440, 630, 727], "64768857": [52, 75, 369, 440, 630, 727], "5230298": [52, 75, 369, 440, 630, 727], "23415337": [52, 75, 369, 440, 630, 727], "23413695": [52, 75, 369, 440, 630, 727], "57921278": [52, 75, 369, 440], "76743472": [52, 75, 369, 440], "1163073": [52, 75, 369, 440], "11629914": [52, 75, 369, 440], "03237505": [52, 75, 369, 440], "03237278": [52, 75, 369, 440], "78441733": [52, 75, 369, 440], "38119566": [52, 75, 369, 440], "21834874": [52, 75, 369, 440], "10610882": [52, 75, 369, 440], "15165846": [52, 75, 369, 440], "15164782": [52, 75, 369, 440], "35662258": [52, 75, 369, 440], "35659757": [52, 75, 369, 440], "02283812": [52, 75, 369, 440], "49705869": [52, 75, 369, 440], "40518808": [52, 75, 369, 440], "16882598": [52, 75, 369, 440], "fixed_factor": [52, 75, 369, 441], "tl": [52, 75, 369, 441], "kolda": [52, 75, 369, 441], "bader": [52, 75, 369, 441], "siam": [52, 75, 369, 438, 441], "review": [52, 75, 369, 441, 801, 804, 806, 811, 813, 816, 826, 830], "vol": [52, 75, 369, 441], "pp": [52, 75, 369, 441], "455": [52, 75, 369, 441], "2009": [52, 75, 369, 441], "_arraywithlossesexperiment": [52, 97], "huber_loss": [52, 75, 370], "delta": [52, 54, 75, 77, 370, 442, 602, 622], "transit": [52, 75, 370, 442, 855], "huber": [52, 75, 370, 442], "kl_div": [52, 75, 370], "log_target": [52, 75, 370, 443], "contai": [52, 443], "batchmean": [52, 370, 443], "kullback": [52, 75, 370, 443], "leibler": [52, 75, 370, 443], "0916": [52, 443], "l1_loss": [52, 75, 370, 445], "l1": [52, 57, 75, 80, 370, 374, 442, 444, 445, 447, 492, 624, 681, 812, 837], "targetict": [52, 75, 370, 444, 445, 447, 448], "20000000000000004": [52, 444], "log_poisson_loss": [52, 75, 370], "compute_full_loss": [52, 75, 370, 445, 780], "favor": [52, 75, 370, 445], "likelihood": [52, 75, 370, 445, 446], "28402555": [52, 370, 445], "03402555": [52, 370, 445], "1573164": [52, 370, 445], "poisson_nll_loss": [52, 75, 370], "log_input": [52, 75, 370, 446], "poisson": [52, 75, 370, 375, 445, 446], "assumpt": [52, 370, 445, 446], "minu": [52, 370, 445, 446], "omiss": [52, 370, 446], "stirl": [52, 75, 370, 445, 446], "describ": [52, 65, 75, 93, 218, 235, 236, 268, 271, 273, 370, 375, 378, 446, 500, 503, 619, 623, 634, 649, 746, 750, 752, 801, 804, 805, 806, 811, 813, 825, 826, 829, 834, 839, 855], "prevent": [52, 54, 75, 77, 370, 446, 545, 602, 603, 608, 621, 622, 623, 634, 646, 752, 778, 783, 804, 806, 813, 814, 818, 825, 826, 830], "input_tensor": [52, 75, 369, 370, 438, 446, 826], "target_tensor": [52, 370, 446], "1978": [52, 446], "smooth_l1_loss": [52, 75, 370], "smooth": [52, 58, 75, 81, 370, 442, 447, 625, 683, 684, 685, 824], "8125": [52, 447], "soft_margin_loss": [52, 75, 370], "soft": [52, 75, 301, 370, 371, 448, 480, 815], "margin": [52, 75, 370, 448, 826], "35667497": [52, 448, 625, 684], "22314353": [52, 448], "60943791": [52, 448], "manipul": [52, 75, 825, 826, 830, 832, 834, 839, 844, 855], "_arraywithmanipulationexperiment": [52, 97], "as_strid": [52, 75, 371], "nativeshap": [52, 56, 59, 61, 75, 82, 84, 122, 123, 125, 130, 137, 143, 371, 375, 449, 461, 466, 474, 477, 496, 497, 498, 499, 500, 565, 578, 583, 585, 616, 621, 623, 626, 630, 636, 638, 640, 642, 644, 693, 726, 727, 728, 821, 823], "byte": [52, 53, 71, 75, 76, 97, 129, 371, 449, 559, 616, 621, 860, 861], "associative_scan": [52, 75, 371], "revers": [52, 53, 57, 65, 75, 80, 88, 97, 98, 359, 367, 368, 369, 371, 380, 413, 429, 450, 464, 465, 511, 512, 532, 621, 624, 626, 634, 679, 690, 744, 745, 804, 812, 813, 814, 816, 817, 825, 826, 832, 839, 840], "scan": [52, 75, 371, 450, 840], "atleast_1d": [52, 75, 371], "ari": [52, 75, 371, 451, 452, 453, 459, 468, 487], "a1": [52, 76, 371, 451, 452, 453, 457, 525], "a2": [52, 76, 371, 451, 452, 453, 457, 525], "atleast_2d": [52, 75, 371], "atleast_3d": [52, 75, 371], "column_stack": [52, 75, 371], "concat_from_sequ": [52, 75, 371], "input_sequ": [52, 75, 371, 458], "new_axi": [52, 75, 371, 458, 839], "dsplit": [52, 75, 371], "indices_or_sect": [52, 75, 371, 459, 468, 487], "3rd": [52, 75, 371, 459], "dstack": [52, 75, 371], "fill_diagon": [52, 75, 371], "fill_diag": [52, 462], "fortran": [52, 59, 75, 82, 371, 463, 626, 693, 855, 859], "layout": [52, 59, 75, 82, 371, 463, 626, 693, 810, 825, 826, 832], "fliplr": [52, 75, 371, 825], "diag": [52, 57, 75, 80, 93, 371, 464, 465, 624, 659, 834], "flipud": [52, 75, 371, 825], "fold": [52, 75, 371, 474, 475, 813], "unfold": [52, 75, 92, 93, 95, 369, 371, 426, 466, 474, 476], "folded_tensor": [52, 371, 466], "heavisid": [52, 75, 371], "5000": [52, 371, 467, 624, 662, 793], "hsplit": [52, 75, 371], "horizont": [52, 75, 371, 457, 468, 533, 621], "hstack": [52, 75, 371, 457], "i0": [52, 75, 371, 380, 513], "bessel": [52, 65, 75, 88, 311, 362, 371, 470, 634, 751, 753], "kind": [52, 65, 75, 160, 163, 164, 380, 470, 511, 512, 517, 617, 634, 744, 745, 750, 752, 763, 764, 803, 826, 829, 832, 834, 840], "26606588": [52, 75, 371, 470], "2795853": [52, 75, 371, 470], "88079259": [52, 75, 371, 470], "row_mod": [52, 75, 371, 471], "column_mod": [52, 75, 371, 471], "ascend": [52, 64, 75, 87, 371, 378, 471, 503, 633, 740, 742], "prod": [52, 53, 65, 76, 88, 369, 371, 427, 429, 471, 519, 534, 621, 634, 763, 793, 814, 816, 834], "moveaxi": [52, 75, 371], "destin": [52, 75, 371, 472], "unstack": [52, 59, 69, 82, 472, 626, 812, 834, 837, 862], "reorder": [52, 59, 75, 82, 371, 472, 533, 621, 626, 690, 828], "stat_length": [52, 75, 371, 473], "constant_valu": [52, 75, 371, 473], "end_valu": [52, 75, 371, 473], "reflect_typ": [52, 75, 371, 473], "partial_fold": [52, 75, 371], "skip_begin": [52, 75, 371, 474, 475, 476, 477], "untouch": [52, 75, 371, 474, 475, 476, 477], "partial_tensor_to_vec": [52, 75, 371], "skip_end": [52, 75, 371, 475, 476], "vectoris": [52, 75, 92, 371, 475, 477], "partial_unfold": [52, 75, 371], "ravel_tensor": [52, 75, 371, 476], "n_1": [52, 75, 371, 476], "n_2": [52, 75, 371, 476], "n_i": [52, 75, 369, 371, 427, 476], "partial_vec_to_tensor": [52, 75, 371], "put_along_axi": [52, 75, 371], "rot90": [52, 75, 371, 825], "rotat": [52, 75, 371, 479], "soft_threshold": [52, 75, 371], "behav": [52, 75, 329, 330, 365, 369, 371, 421, 481, 624, 658, 808, 818, 823, 825, 826, 827, 836, 856], "invalid": [52, 66, 75, 89, 371, 481, 624, 626, 635, 680, 689, 754, 755, 763, 805, 814], "slice": [52, 65, 69, 75, 76, 88, 93, 142, 322, 362, 371, 456, 478, 481, 482, 540, 541, 543, 569, 616, 621, 628, 634, 714, 749, 855], "inexact": [52, 75, 339, 365, 371, 481], "largest": [52, 69, 75, 160, 163, 369, 371, 437, 481, 483, 617, 624, 665, 674], "take_along_axi": [52, 75, 371], "arr": [52, 53, 72, 75, 168, 371, 456, 478, 482, 565, 617, 814, 815], "top_k": [52, 75, 371], "sort": [52, 63, 69, 75, 86, 98, 287, 369, 371, 380, 421, 483, 503, 517, 619, 624, 632, 658, 659, 674, 675, 736, 740, 741, 742, 765, 799, 803, 813, 828, 830], "trim_zero": [52, 75, 371], "fb": [52, 75, 371, 484], "front": [52, 75, 371, 484, 826, 833, 834, 837, 844, 853, 855], "unfolded_tensor": [52, 371, 485], "unique_consecut": [52, 75, 371], "vsplit": [52, 75, 371], "vertic": [52, 75, 371, 487, 488, 533, 621, 806], "_arraywithnormsexperiment": [52, 97], "varianc": [52, 65, 75, 88, 374, 489, 491, 634, 753, 778, 782], "nsc": [52, 75, 374, 489, 490, 491, 782], "braodcast": [52, 75, 374, 489], "running_mean": [52, 75, 374, 489, 491, 782], "running_var": [52, 75, 374, 489, 491, 782], "nc": [52, 75, 374, 489, 490, 491, 782], "group_norm": [52, 75, 374], "num_group": [52, 75, 374, 490], "group": [52, 75, 371, 374, 486, 490, 623, 628, 636, 643, 644, 707, 808, 812, 814, 822, 826, 827, 851, 854, 860], "instance_norm": [52, 75, 374], "l1_normal": [52, 75, 374], "33333334": [52, 374, 492, 495, 604, 622, 623, 624, 645, 681], "33333337": [52, 132, 374, 492, 604, 616, 622], "28571439": [52, 374, 492], "l2_normal": [52, 75, 374, 495], "l2": [52, 57, 80, 91, 92, 374, 493, 495, 624, 681, 779, 812], "44721359": [52, 75, 374, 493, 495], "89442718": [52, 75, 374, 493, 495], "lp_normal": [52, 75, 374], "lp": [52, 374, 495], "_arraywithrandomexperiment": [52, 97], "bernoulli": [52, 75, 368, 375, 391, 392, 393], "event": [52, 75, 375, 496, 829], "entri": [52, 59, 69, 75, 82, 86, 93, 132, 369, 371, 375, 436, 462, 464, 465, 496, 616, 626, 628, 695, 718, 736, 805, 813, 829, 855], "parameter": [52, 61, 75, 84, 375, 496, 497, 499, 500, 630, 725, 727, 728], "odd": [52, 75, 273, 371, 375, 473, 496, 619, 793, 803, 808], "drawn": [52, 61, 75, 84, 375, 496, 497, 498, 499, 500, 630, 725, 726, 727, 728, 763, 764, 765, 778, 829], "dirichlet": [52, 75, 375], "10598304": [52, 375, 498], "21537054": [52, 375, 498], "67864642": [52, 375, 498], "48006698": [52, 375, 498], "07472073": [52, 375, 498], "44521229": [52, 375, 498], "55479872": [52, 375, 498], "05426367": [52, 375, 498], "39093761": [52, 375, 498], "19531053": [52, 375, 498], "51675832": [52, 375, 498], "28793114": [52, 375, 498], "12315625": [52, 375, 498], "29823365": [52, 375, 498], "5786101": [52, 375, 498], "15564976": [52, 375, 498], "50542368": [52, 375, 498], "33892656": [52, 375, 498], "1325352": [52, 375, 498], "44439589": [52, 375, 498], "42306891": [52, 375, 498], "gamma": [52, 60, 75, 83, 336, 347, 365, 375, 380, 514, 629, 724], "rate": [52, 54, 75, 77, 368, 375, 409, 500, 603, 606, 608, 609, 610, 622, 627, 702, 703, 704, 783, 813], "lam": [52, 75, 375, 500], "_arraywithsearchingexperiment": [52, 97], "unravel_index": [52, 75, 376], "unravel": [52, 75, 376, 501], "_arraywithsetexperiment": [52, 97], "_arraywithsortingexperiment": [52, 97], "lexsort": [52, 75, 378], "indirectli": [52, 75, 378, 503], "statist": [52, 75, 90, 371, 473, 782, 797, 804, 814, 829, 830, 855], "_arraywithstatisticalexperiment": [52, 97], "bincount": [52, 75, 380], "minlength": [52, 75, 380, 508], "corrcoef": [52, 75, 380], "rowvar": [52, 75, 380, 509, 510], "relationship": [52, 75, 509, 778, 828], "cov": [52, 75, 380], "ddof": [52, 75, 380, 510], "fweight": [52, 75, 380, 510], "aweight": [52, 75, 380, 510], "overridden": [52, 75, 380, 510, 783, 809], "unbias": [52, 65, 75, 88, 380, 510, 634, 753], "typic": [52, 75, 328, 344, 365, 380, 510, 633, 742, 779, 808, 822, 854, 862], "assign": [52, 75, 92, 380, 510, 804, 806, 810, 814, 825, 828, 836], "covari": [52, 75, 380, 510], "cummax": [52, 75, 380], "exclus": [52, 53, 65, 69, 75, 76, 88, 121, 369, 380, 435, 511, 512, 552, 553, 556, 616, 621, 630, 634, 726, 744, 745, 812, 814, 822, 839, 859, 861], "cumul": [52, 65, 75, 88, 380, 511, 512, 634, 744, 745], "uint64": [52, 65, 157, 162, 164, 165, 175, 177, 180, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 829, 834], "uint16": [52, 65, 152, 157, 162, 163, 172, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "bit": [52, 65, 159, 160, 163, 226, 227, 229, 380, 511, 512, 617, 619, 634, 744, 745, 750, 752, 799, 803, 804, 805, 812, 813, 814, 816, 822, 834, 836, 861], "uint32": [52, 65, 157, 162, 163, 164, 186, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 829, 834], "cummin": [52, 75, 380], "histogram": [52, 75, 380], "extend_lower_interv": [52, 75, 380, 513], "extend_upper_interv": [52, 75, 380, 513], "densiti": [52, 75, 380, 513], "monoton": [52, 75, 380, 513], "rightmost": [52, 75, 380, 513], "c1": [52, 75, 380, 513, 812], "ff": [52, 75, 380, 513], "c_": [52, 75, 93, 380, 513], "igamma": [52, 75, 380], "incomplet": [52, 75, 380, 514, 806], "3614": [52, 75, 380, 514], "2085": [52, 75, 380, 514], "median": [52, 75, 371, 380, 473, 517], "nanmean": [52, 75, 380], "6666666666666665": [52, 75, 380, 516], "nanmedian": [52, 75, 380], "overwrite_input": [52, 75, 380, 517], "treat": [52, 69, 75, 98, 273, 349, 365, 371, 374, 380, 482, 494, 517, 519, 619, 760, 824, 829, 835, 839], "undefin": [52, 75, 371, 380, 381, 473, 517, 521, 814, 818, 824], "nanmin": [52, 75, 380], "nanprod": [52, 75, 380], "Not": [52, 75, 349, 365, 369, 380, 423, 519, 614, 810, 818, 827, 837, 838, 840], "quantil": [52, 75, 380], "inclus": [52, 75, 121, 380, 520, 616, 630, 726, 800, 810, 825, 832], "midpoint": [52, 75, 380, 520], "surround": [52, 75, 380, 520, 832], "whichev": [52, 75, 380, 520], "_arraywithutilityexperiment": [52, 97], "optional_get_el": [52, 75, 381], "empti": [52, 53, 65, 69, 76, 88, 121, 371, 381, 473, 521, 528, 565, 616, 621, 624, 628, 634, 635, 678, 681, 719, 749, 750, 752, 754, 755, 804, 805, 809, 811, 814, 815, 825], "_arraywithgener": [53, 97], "all_equ": [53, 76, 621], "equality_matrix": [53, 76, 522, 621], "array_equ": [53, 76, 621], "assert_supports_inplac": [53, 76, 621], "ivybackendexcept": [53, 76, 526, 550, 621, 794, 809, 815, 818, 819], "clip_matrix_norm": [53, 76, 621], "894": [53, 76, 528, 529, 621, 629, 724], "clip_vector_norm": [53, 76, 621], "default_v": [53, 532, 621], "catch_except": [53, 532, 621], "rev": [53, 532, 621], "with_cal": [53, 532, 621], "catch": [53, 532, 621, 823, 829], "einops_rearrang": [53, 76, 621], "axes_length": [53, 76, 533, 534, 535, 621], "arrang": [53, 533, 621], "rearrang": [53, 76, 533, 535, 621, 828], "einops_reduc": [53, 76, 621, 814], "einops_repeat": [53, 76, 621], "fourier_encod": [53, 76, 621], "max_freq": [53, 76, 537, 621], "oppos": [53, 76, 537, 621, 814], "geometr": [53, 76, 537, 621, 624, 679], "0000000e": [53, 76, 537, 621], "2246468e": [53, 76, 537, 621], "4492936e": [53, 537, 621], "6739404e": [53, 76, 537, 621], "batch_dim": [53, 76, 540, 541, 621, 785], "gather_nd": [53, 76, 621], "get_num_dim": [53, 76, 621], "as_arrai": [53, 76, 544, 578, 621, 785], "has_nan": [53, 76, 621], "include_inf": [53, 76, 546, 600, 621], "inplace_decr": [53, 76, 621], "val": [53, 69, 74, 76, 248, 371, 462, 548, 549, 550, 569, 570, 571, 619, 621, 814, 825, 836], "decrement": [53, 76, 548, 621], "inplace_incr": [53, 76, 621], "increment": [53, 76, 549, 621, 806, 855], "inplace_upd": [53, 76, 568, 621, 776, 825], "ensure_in_backend": [53, 76, 550, 621, 825], "keep_input_dtyp": [53, 76, 550, 621, 825], "is_arrai": [53, 76, 621, 825, 826], "is_ivy_arrai": [53, 76, 621, 825, 836], "is_ivy_contain": [53, 621], "is_native_arrai": [53, 76, 171, 553, 617, 621, 836], "isin": [53, 76, 621], "test_el": [53, 76, 557, 621], "assume_uniqu": [53, 76, 557, 621], "invert": [53, 76, 226, 557, 619, 621, 624, 666], "scatter_flat": [53, 76, 621], "occupi": [53, 160, 163, 564, 565, 617, 621], "scatter_nd": [53, 76, 621, 832, 836], "stable_divid": [53, 76, 621, 822], "denomin": [53, 60, 76, 83, 571, 579, 593, 621, 629, 724, 782, 822, 831, 840, 852], "min_denomin": [53, 76, 571, 579, 593, 621, 831], "_min_denomin": [53, 579, 621], "stable_pow": [53, 76, 621], "min_bas": [53, 76, 570, 580, 592, 621, 782, 831], "stabl": [53, 64, 76, 87, 142, 322, 329, 330, 362, 365, 378, 503, 570, 571, 579, 580, 592, 593, 616, 621, 633, 740, 743, 765, 805, 810, 814, 826, 831, 834, 840], "00004": [53, 76, 580, 621], "00008": [53, 76, 580, 621], "00004000e": [53, 580], "56002560e": [53, 580], "60001200e": [53, 580], "09602048e": [53, 580], "supports_inplace_upd": [53, 76, 621], "to_fil": 53, "fid": 53, "sep": 53, "format_": 53, "recov": [53, 818, 826], "to_scalar": [53, 76, 621], "value_is_nan": [53, 76, 621], "_arraywithgradi": [54, 97], "adam_step": [54, 77, 622], "mw": [54, 77, 602, 603, 622, 838], "vw": [54, 77, 602, 603, 622, 838], "beta1": [54, 77, 524, 602, 603, 608, 621, 622, 783, 838], "beta2": [54, 77, 524, 602, 603, 608, 621, 622, 783, 838], "epsilon": [54, 57, 58, 77, 80, 81, 524, 602, 603, 608, 621, 622, 624, 625, 667, 670, 683, 684, 685, 775, 780, 782, 783, 812, 822, 825, 838], "dc": [54, 77, 602, 603, 606, 608, 609, 610, 622], "dw": [54, 77, 602, 603, 606, 608, 609, 610, 622], "forget": [54, 77, 602, 603, 608, 622, 783, 799, 814], "dcdw": [54, 77, 602, 603, 606, 608, 609, 622], "adam_step_delta": [54, 77, 602, 622], "2020105": [54, 602, 622], "22187898": [54, 602, 622], "24144873": [54, 602, 622], "10000002": [54, 88, 291, 360, 602, 748], "00300002": [54, 602], "00800002": [54, 602], "adam_upd": [54, 77, 622, 838], "mw_tm1": [54, 77, 603, 608, 622], "vw_tm1": [54, 77, 603, 608, 622], "stop_gradi": [54, 77, 208, 524, 603, 606, 608, 609, 610, 618, 621, 622, 627, 702, 703, 704, 783, 838], "ws_new": [54, 77, 603, 608, 609, 610, 622], "updated_weight": [54, 77, 603, 622], "92558753": [54, 603], "92558873": [54, 603, 622], "92558718": [54, 603, 622], "00000063e": [54, 77, 603, 622], "00000016e": [54, 77, 603, 622], "00000086e": [54, 77, 603, 622], "gradient_descent_upd": [54, 77, 622, 627, 702, 703, 704], "descent": [54, 77, 606, 622, 783, 838, 855], "new_weight": [54, 77, 606, 608, 609, 622, 837], "lamb_upd": [54, 77, 622], "max_trust_ratio": [54, 77, 608, 622, 783], "decay_lambda": [54, 77, 608, 609, 622, 783], "trust": [54, 77, 608, 622, 783], "ratio": [54, 77, 608, 622, 783], "decai": [54, 77, 608, 609, 622, 783], "lamb": [54, 77, 608, 622, 783, 838], "784": [54, 608, 622], "lars_upd": [54, 77, 622], "lar": [54, 77, 609, 622, 783, 838], "34077978": [54, 609, 622], "78025991": [54, 609, 622], "56051969": [54, 609, 622], "78026009": [54, 609, 622], "56051981": [54, 609, 622], "12103939": [54, 609, 622], "optimizer_upd": [54, 77, 622], "effective_grad": [54, 77, 610, 622], "3e": [54, 77, 610, 622], "preserve_typ": [54, 77, 611, 622], "_arraywithimag": [55, 97], "_arraywithlay": [56, 97], "conv1d": [56, 79, 623, 779], "filter_format": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "channel_last": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 763], "x_dilat": [56, 79, 623, 636, 637, 639, 640, 641, 643], "d_out": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "channel_first": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "wio": [56, 623, 636, 637, 638, 643], "conv1d_transpos": [56, 79, 623], "output_shap": [56, 79, 623, 636, 638, 640, 642, 644, 779], "iow": [56, 79, 623, 638], "woi": [56, 79, 623, 638], "fh": [56, 79, 623, 628, 636, 639, 640, 641, 642, 643, 644, 645, 717], "hwio": [56, 623, 636, 637, 639, 643], "conv2d_transpos": [56, 79, 623], "iohw": [56, 79, 623, 640], "hwoi": [56, 79, 623, 640], "conv3d": [56, 79, 623, 642, 779], "fd": [56, 79, 623, 636, 641, 642, 643, 644], "conv3d_transpos": [56, 79, 623, 644], "iodhw": [56, 79, 623, 642, 644], "dhwoi": [56, 79, 623, 642, 644], "depthwise_conv2d": [56, 79, 623], "randint": [56, 61, 63, 79, 84, 630, 632, 645, 648, 736, 814, 848], "noise_shap": [56, 79, 623, 646], "42857146": [56, 623, 646], "85714293": [56, 623, 646], "28571415": [56, 79, 623, 646], "71428585": [56, 79, 623, 646], "14285755": [56, 79, 623, 646], "5714283": [56, 623, 646], "4285717": [56, 79, 623, 646], "8571434": [56, 79, 623, 646], "2857151": [56, 623, 646], "dropout1d": [56, 79, 368], "droput1d": [56, 391, 392], "dropout2d": [56, 79, 368], "dropout3d": [56, 79, 368], "droput3d": [56, 393], "outer_batch_shap": [56, 79, 623, 647], "inner_batch_shap": [56, 79, 623, 647], "lstm_updat": [56, 79, 623, 834], "init_h": [56, 79, 623, 648, 834], "init_c": [56, 79, 623, 648, 834], "recurrent_kernel": [56, 79, 623, 648, 834], "recurrent_bia": [56, 79, 623, 648, 834], "hidden": [56, 79, 623, 648, 779, 811, 818, 834, 838], "recurr": [56, 75, 79, 368, 413, 623, 648, 834, 855, 859], "timestep": [56, 75, 79, 368, 413, 623, 648, 649, 779, 834], "h_i": [56, 79, 648], "c_i": [56, 79, 648], "rc": [56, 79, 648], "multi_head_attent": [56, 79, 623, 825], "num_head": [56, 79, 623, 649, 779], "in_proj_weight": [56, 79, 623, 649], "q_proj_weight": [56, 79, 623, 649], "k_proj_weight": [56, 79, 623, 649], "v_proj_weight": [56, 79, 623, 649], "out_proj_weight": [56, 79, 623, 649], "in_proj_bia": [56, 79, 623, 649], "out_proj_bia": [56, 79, 623, 649], "is_caus": [56, 79, 623, 649, 652], "key_padding_mask": [56, 79, 623, 649], "bias_k": [56, 79, 623, 649], "bias_v": [56, 79, 623, 649], "static_k": [56, 79, 623, 649], "static_v": [56, 79, 623, 649], "add_zero_attn": [56, 79, 623, 649], "return_attention_weight": [56, 79, 623, 649], "average_attention_weight": [56, 79, 623, 649], "scaled_dot_product_attent": [56, 79, 623], "dropout_p": [56, 79, 623, 652], "num_queri": [56, 79, 623, 652], "feat_dim": [56, 79, 623, 652], "num_kei": [56, 79, 623, 652], "causal": [56, 79, 623, 649, 652], "attent": [56, 79, 623, 649, 652, 779, 806, 809, 845], "29999995": [56, 291, 292, 301, 360, 623, 632, 652, 737], "19994521": [56, 623, 652], "09994531": [56, 623, 652], "30000019": [56, 371, 457, 623, 652], "_arraywithlinearalgebra": [57, 97], "choleski": [57, 80, 624, 825], "625": [57, 75, 341, 624, 653], "vif": [57, 80, 654], "det": [57, 80, 624, 672, 813], "axis1": [57, 59, 80, 82, 624, 626, 657, 678, 698], "axis2": [57, 80, 624, 657, 678], "eigh": [57, 80, 369, 421, 624, 658], "uplo": [57, 80, 624, 659, 660], "eigvalsh": [57, 80, 624], "array_lik": [57, 80, 368, 370, 371, 412, 442, 443, 447, 448, 478, 624, 661, 669, 793], "105": [57, 79, 623, 624, 625, 646, 647, 661, 669, 683], "149": [57, 624, 661], "143": [57, 74, 98, 285, 619, 624, 661, 816], "203": [57, 74, 224, 624, 629, 661, 724], "233": [57, 624, 661], "inv": [57, 80, 624], "transpose_a": [57, 80, 624, 664], "transpose_b": [57, 80, 624, 664], "adjoint_a": [57, 80, 624, 664], "adjoint_b": [57, 80, 624, 664], "matrix_norm": [57, 80, 624], "ord": [57, 80, 624, 665, 681], "fro": [57, 80, 370, 442, 624, 665], "nuc": [57, 80, 624, 665], "matrix_pow": [57, 80, 624], "matrix_rank": [57, 80, 624], "hermitian": [57, 80, 369, 421, 422, 624, 658, 659, 660, 667, 674], "largest_singular_valu": [57, 80, 624, 667, 670], "defici": [57, 624, 667], "matrix_transpos": [57, 80, 624, 836], "pinv": [57, 80, 624], "pseudo": [57, 80, 624, 670, 824], "99999988": [57, 80, 624, 670], "qr": [57, 80, 624, 827], "complet": [57, 69, 80, 624, 671, 764, 804, 805, 806, 808, 809, 812, 813, 816, 818, 822, 826, 827, 829, 832, 836, 837, 845, 853], "12309149": [57, 624, 671], "90453403": [57, 624, 671], "40824829": [57, 624, 671], "49236596": [57, 624, 671], "30151134": [57, 624, 671], "81649658": [57, 624, 671], "86164044": [57, 624, 671], "12403841e": [57, 624, 671], "60113630e": [57, 624, 671], "10782342e": [57, 624, 671], "04534034e": [57, 624, 671], "80906807e": [57, 624, 671], "88178420e": [57, 80, 624, 660, 671], "slogdet": [57, 80, 624], "logabsdet": [57, 80, 624, 672], "natur": [57, 80, 238, 256, 257, 258, 259, 278, 347, 365, 619, 624, 672, 809, 816, 818, 827, 845], "098611": [57, 624, 672], "solv": [57, 80, 369, 430, 624, 763, 799, 805, 808, 819, 826, 835, 857], "full_matric": [57, 80, 624, 674], "svf": [57, 674], "reconstructed_x": [57, 624, 674], "svdval": [57, 80, 624], "tensorsolv": [57, 80, 624], "vander": [57, 80, 624], "vandermond": [57, 80, 624, 679], "vecdot": [57, 80, 624], "vector_norm": [57, 80, 624], "mathemat": [57, 80, 218, 223, 235, 240, 242, 258, 268, 614, 619, 624, 665, 681, 814, 826, 832, 855, 861], "manhattan": [57, 80, 624, 681], "euclidean": [57, 80, 92, 93, 624, 681], "7416575": [57, 80, 624, 681], "vector_to_skew_symmetric_matrix": [57, 80, 624], "_arraywithloss": [58, 97], "binary_cross_entropi": [58, 81, 625, 813], "from_logit": [58, 81, 625, 683, 780], "pos_weight": [58, 81, 625, 683], "crossentropi": [58, 81, 625, 683], "357": [58, 81, 625, 683, 685], "223": [58, 81, 625, 683, 685], "3862944": [58, 625, 684], "sparse_cross_entropi": [58, 81, 625], "_arraywithmanipul": [59, 97], "x_min": [59, 82, 626, 686, 839], "x_max": [59, 82, 626, 686, 839], "before_1": [59, 82, 371, 473, 626, 688, 701], "after_1": [59, 82, 371, 473, 626, 688, 701], "before_n": [59, 82, 371, 473, 626, 688, 701], "after_n": [59, 82, 371, 473, 626, 688, 701], "repetit": [59, 82, 626, 692, 699, 832], "flat": [59, 69, 82, 376, 501, 564, 621, 626, 692], "allowzero": [59, 82, 626, 693], "remain": [59, 62, 75, 82, 85, 218, 235, 236, 242, 250, 251, 268, 271, 277, 279, 368, 391, 392, 393, 412, 619, 626, 628, 631, 693, 711, 734, 793, 805, 806, 813, 816, 818, 822, 830, 832, 840], "roll": [59, 82, 626, 821], "shift": [59, 71, 82, 98, 131, 142, 227, 229, 322, 362, 616, 619, 626, 694, 805, 806, 815, 816, 821, 828], "restor": [59, 82, 626, 694, 820], "num_or_size_split": [59, 69, 82, 626, 695, 834], "with_remaind": [59, 69, 82, 626, 695], "squeezabl": [59, 626, 696], "swapax": [59, 82, 626], "axis0": [59, 82, 626, 698], "swap_ax": [59, 698], "swap": [59, 82, 626, 698, 788, 849], "tile": [59, 76, 82, 535, 626], "unpack": [59, 82, 626, 700, 827, 829], "zero_pad": [59, 82, 626], "_arraywithnorm": [60, 97], "layer_norm": [60, 83, 629], "normalized_idx": [60, 83, 629, 724], "new_std": [60, 83, 629, 724, 782], "learnabl": [60, 83, 627, 629, 704, 724, 779, 782, 839], "deviat": [60, 61, 65, 83, 84, 88, 629, 630, 634, 724, 727, 751, 765, 778, 782, 808, 846], "0976": [60, 629, 724], "3452": [60, 629, 724], "2740": [60, 629, 724], "1047": [60, 629, 724], "5886": [60, 629, 724], "2732": [60, 629, 724], "7696": [60, 629, 724, 763], "7024": [60, 629, 724], "2518": [60, 629, 724], "826": [60, 629, 724], "178": [60, 629, 724], "981": [60, 629, 724], "831": [60, 629, 724], "421": [60, 629, 724], "_arraywithrandom": [61, 97], "multinomi": [61, 84, 375, 498, 630], "population_s": [61, 84, 630, 725], "num_sampl": [61, 84, 630, 725], "unnorm": [61, 84, 630, 725, 829], "popul": [61, 65, 69, 84, 88, 630, 634, 725, 751, 753, 814, 815, 825, 829, 834, 861], "draw": [61, 84, 375, 496, 498, 500, 630, 725, 727, 728, 763, 764, 765, 766, 771, 778, 804, 808, 827, 829], "half": [61, 84, 121, 282, 616, 619, 630, 726, 728, 802, 819, 832], "235": [61, 727], "float16": [61, 72, 84, 129, 152, 154, 155, 160, 162, 339, 365, 616, 617, 624, 681, 727, 728, 763, 764, 802, 814, 819, 826, 829], "807": [61, 727], "_arraywithsearch": [62, 97], "select_last_index": [62, 85, 631, 731, 732], "occurr": [62, 371, 380, 486, 508, 631, 632, 731, 732, 736], "argmin": [62, 85, 631], "output_dtyp": [62, 85, 631, 732], "argwher": [62, 85, 631], "nonzero": [62, 85, 93, 216, 217, 218, 221, 224, 233, 235, 238, 240, 242, 268, 281, 286, 619, 631], "as_tupl": [62, 85, 631, 734], "fewer": [62, 85, 631, 734], "_arraywithset": [63, 97], "unique_al": [63, 86, 632], "by_valu": [63, 86, 632, 736], "inverse_indic": [63, 86, 371, 486, 632, 736, 738], "unique_count": [63, 86, 632], "unique_invers": [63, 86, 632], "unique_valu": [63, 86, 632], "admonit": [63, 739], "dask": [63, 632, 736, 737, 738, 739, 845], "difficult": [63, 632, 736, 737, 738, 739, 806, 808, 814, 829, 840], "omit": [63, 278, 619, 632, 736, 737, 738, 739, 821, 825, 826], "x_i": [63, 65, 74, 93, 215, 216, 217, 220, 221, 222, 224, 226, 231, 232, 233, 238, 240, 241, 248, 249, 250, 251, 252, 256, 257, 258, 259, 263, 270, 275, 278, 279, 280, 281, 282, 283, 285, 286, 288, 329, 330, 332, 352, 365, 619, 632, 634, 736, 737, 738, 739, 747, 748, 749, 751, 752, 753, 778, 817], "x_j": [63, 632, 736, 737, 738, 739], "impli": [63, 632, 736, 737, 738, 739, 829], "typeerror": [63, 86, 632, 739, 836], "_arraywithsort": [64, 97], "stabil": [64, 87, 579, 580, 621, 633, 740, 743, 814, 824, 830, 832], "maintain": [64, 87, 633, 740, 743, 805, 806, 808, 820, 825, 827, 828, 829, 844, 854], "msort": [64, 87, 633], "searchsort": [64, 87, 633, 764], "side": [64, 87, 343, 365, 369, 436, 633, 742, 763, 779, 792, 793, 805, 806, 811], "sorter": [64, 87, 633, 742], "ret_dtyp": [64, 87, 633, 742], "_arraywithstatist": [65, 97], "cumprod": [65, 88, 634, 826, 839], "cumsum": [65, 88, 634, 814], "einsum": [65, 88, 634], "equat": [65, 75, 88, 308, 362, 369, 436, 624, 634, 673, 746, 763, 792, 813, 855], "operand": [65, 75, 79, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 352, 356, 365, 366, 368, 410, 619, 624, 634, 672, 678, 746, 747, 749, 750, 752, 792, 793, 809, 812, 817, 826], "contract": [65, 624, 634, 676, 746, 793], "seq": [65, 634, 746, 763], "ii": [65, 88, 634, 746, 806], "jk": [65, 634, 746, 793], "ik": [65, 634, 746, 793], "126": [65, 105, 274, 613, 619, 624, 634, 666, 746], "510": [65, 634, 746], "special": [65, 80, 92, 93, 97, 98, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 352, 365, 619, 624, 634, 672, 678, 747, 748, 749, 750, 751, 752, 753, 763, 764, 765, 766, 771, 778, 804, 808, 809, 811, 813, 816, 817, 818, 821, 825, 827, 828, 829, 830, 832, 855, 856, 857], "arithmet": [65, 88, 229, 235, 268, 619, 634, 748, 826], "propag": [65, 229, 329, 330, 365, 619, 634, 747, 748, 749, 751, 752, 753, 824], "04999995": [65, 748], "freedom": [65, 88, 634, 751, 753, 810], "constitut": [65, 88, 634, 751, 753, 822, 834, 856], "commonli": [65, 88, 634, 751, 753, 818, 822, 824], "81649661": [65, 634, 751], "6666665": [65, 753, 837], "667": [65, 76, 235, 529, 579, 619, 621, 753], "_arraywithutil": [66, 97], "logic": [66, 89, 199, 235, 236, 262, 263, 264, 268, 271, 618, 619, 635, 754, 755, 804, 809, 813, 814, 815, 818, 822, 823, 824, 825, 826, 828, 829, 832, 836, 849], "AND": [66, 89, 225, 236, 262, 619, 635, 754], "OR": [66, 89, 228, 264, 271, 619, 635, 755, 805, 806, 824], "_wrap_funct": [67, 90, 811, 822, 823], "function_nam": [67, 90, 804, 830], "new_funct": [67, 90, 811], "add_ivy_array_instance_method": 67, "cl": [67, 90], "moduletyp": [67, 90, 848, 849, 850], "toi": [67, 90], "arrayexampl": 67, "hasattr": [67, 90], "_containerwithactiv": [68, 98], "dict_in": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "queue": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 574, 596, 621, 831, 837], "queue_load_s": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "container_combine_method": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "list_join": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "queue_timeout": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 574, 596, 621, 831], "print_limit": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "key_length_limit": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "print_ind": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "print_line_spac": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "ivyh": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "default_key_color": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "keyword_color_dict": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "rebuild_child_contain": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "types_to_iteratively_nest": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "alphabetical_kei": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "dynamic_backend": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 780, 781, 810, 831], "build_cal": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "containerbas": [68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 812], "_static_gelu": 68, "key_chain": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "to_appli": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "prune_unappli": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "map_sequ": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "prune": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 719, 720, 721, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 761, 764, 813], "static_gelu": 68, "046": 68, "_static_hardswish": 68, "_static_leaky_relu": 68, "static_leaky_relu": 68, "38999999": [68, 75, 107, 290, 291, 360], "_static_log_softmax": 68, "static_log_softmax": 68, "371": [68, 108], "_static_mish": 68, "static_mish": 68, "30883577": [68, 109, 613], "28903052": [68, 109, 613], "10714479": [68, 109, 613], "_static_relu": 68, "static_relu": 68, "_static_sigmoid": 68, "static_sigmoid": 68, "2689414": [68, 111, 112, 613], "7310586": [68, 111, 112, 613], "88079703": [68, 111, 613], "62245935": [68, 111], "4750208": [68, 111], "_static_softmax": 68, "static_softmax": 68, "72844321": [68, 112], "19852395": [68, 112], "07303288": [68, 112], "_static_softplu": 68, "revert": [68, 113, 613], "static_softplu": 68, "53499615": 68, "42036411": 68, "948": [68, 113, 628, 705], "166": [68, 105, 613], "dictionari": [69, 86, 98, 207, 588, 604, 618, 621, 622, 739, 758, 760, 793, 809, 813, 814, 822, 826, 827, 837, 840], "asynchron": [69, 98, 855], "wait": [69, 98, 574, 621, 799, 804, 806, 813, 826], "arriv": [69, 98, 574, 621, 832], "cont_list_join": [69, 98], "limit": [69, 98, 160, 163, 528, 529, 545, 617, 621, 626, 686, 763, 765, 766, 778, 785, 793, 799, 805, 806, 811, 813, 816, 818, 826, 829, 832, 837, 840, 854, 855, 856], "whitespac": [69, 98], "indent": [69, 98, 837], "newlin": [69, 98, 817], "termin": [69, 98, 805, 806, 812, 819, 820, 834, 837], "constructor": [69, 98, 524, 621, 760, 776, 784, 814, 815, 817, 836], "kept": [69, 98, 627, 702, 703, 806, 825, 830], "encount": [69, 98, 779, 802, 804, 814, 818, 819, 829], "node": [69, 76, 98, 526, 536, 582, 628, 715, 716, 778, 787, 811, 812, 826, 845, 848, 849, 856], "alphabet": [69, 98], "__setitem__": [69, 371, 481, 809, 812, 836], "_cont_at_key_chains_input_as_dict": 69, "current_chain": 69, "ignore_key_error": 69, "_cont_at_key_chains_input_as_seq": 69, "_cont_call_static_method_with_flexible_arg": 69, "static_method": 69, "kw": 69, "self_idx": 69, "_cont_concat_unifi": 69, "_cont_get_dev": 69, "_cont_get_dtyp": 69, "_cont_get_shap": 69, "_cont_ivi": 69, "_cont_mean_unifi": 69, "_1": 69, "_cont_prune_key_chains_input_as_dict": 69, "return_cont": 69, "_cont_prune_key_chains_input_as_seq": 69, "_cont_slice_kei": 69, "key_slic": 69, "_cont_sum_unifi": 69, "_get_queue_item": 69, "cont_all_fals": 69, "assert_is_bool": 69, "cont_all_key_chain": 69, "include_empti": 69, "cont_all_tru": [69, 812, 837], "cont_as_bool": 69, "cont_assert_contains_sub_contain": 69, "sub_cont": 69, "screen": [69, 804, 805, 837], "cont_assert_contains_sub_structur": 69, "check_shap": [69, 785], "cont_assert_ident": 69, "check_typ": 69, "same_arrai": [69, 837], "arrays_equ": 69, "cont_assert_identical_structur": 69, "assert_and_assign": 69, "congruent": 69, "cont_at_key_chain": 69, "ignore_non": 69, "cont_at_kei": 69, "substr": 69, "cont_combin": 69, "duplic": [69, 371, 478, 545, 621, 628, 707, 810, 817, 823, 824, 827, 838, 861], "configur": [69, 207, 618, 628, 718, 805, 806, 811, 813, 814, 819, 820], "container_rightmost": 69, "cont_common_key_chain": 69, "cont_config": 69, "cont_contains_sub_contain": 69, "cont_contains_sub_structur": 69, "cont_copi": [69, 837], "cont_create_if_abs": 69, "noth": [69, 832, 861], "cont_cutoff_at_depth": 69, "depth_cutoff": 69, "summari": [69, 164, 530, 617, 621, 805, 806, 829], "cont_cutoff_at_height": 69, "height_cutoff": 69, "cont_deep_copi": [69, 837, 848], "cont_dev": 69, "belong": [69, 804, 808, 838], "cont_dev_str": 69, "cont_diff": [69, 837], "diff_kei": 69, "detect_key_diff": 69, "detect_value_diff": 69, "detect_shape_diff": 69, "among": [69, 812, 813, 829, 832, 846, 855], "container0": 69, "cont_dtyp": 69, "cont_duplicate_array_keychain": 69, "cont_find_sub_contain": 69, "sub_cont_to_find": 69, "cont_find_sub_structur": 69, "sub_struc_to_find": 69, "cont_flatten_key_chain": [69, 837], "above_height": [69, 837], "below_depth": [69, 837], "cont_format_key_chain": 69, "format_fn": 69, "cont_from_disk_as_hdf5": [69, 837], "h5_obj_or_filepath": 69, "slice_obj": 69, "disk": [69, 781, 837, 854], "h5py": 69, "filepath": [69, 635, 756, 757, 806, 808], "cont_from_disk_as_json": [69, 837], "json_filepath": 69, "cont_from_disk_as_pickl": [69, 837], "pickle_filepath": 69, "cont_from_flat_list": 69, "flat_list": 69, "hierarchi": [69, 804, 828, 837, 851, 861], "cont_handle_inplac": 69, "prime": [69, 814], "overwritten": [69, 809, 810], "cont_has_kei": 69, "query_kei": 69, "somewher": [69, 813], "cont_has_key_chain": 69, "cont_ident": [69, 837], "cont_identical_array_shap": 69, "cont_identical_config": 69, "cont_identical_structur": 69, "cont_if_exist": 69, "cont_inplace_upd": 69, "cont_ivi": 69, "cont_key_chains_contain": 69, "sub_str": 69, "cont_list_stack": [69, 837], "cont_load": 69, "cont_map": [69, 812, 837], "func": [69, 92, 208, 357, 358, 359, 367, 527, 601, 604, 605, 607, 612, 618, 621, 622, 628, 718, 760, 804, 808, 809, 816, 818, 824], "cont_map_sub_cont": 69, "include_self": 69, "possibli": [69, 584, 621, 763, 829, 840], "cont_max_depth": 69, "cont_multi_map": 69, "map_nest": 69, "assert_ident": 69, "leftmost": [69, 628, 718], "cont_multi_map_in_funct": 69, "cont_num_arrai": 69, "cont_overwrite_at_key_chain": 69, "target_dict": 69, "return_dict": 69, "cont_prune_empti": 69, "keep_non": 69, "cont_prune_key_chain": 69, "key1": [69, 799, 838], "key2": [69, 799], "key3": 69, "cont_prune_key_from_key_chain": 69, "certain": [69, 121, 132, 133, 370, 443, 616, 805, 806, 808, 814, 822, 828, 829, 832, 840, 848, 849, 850, 859], "cont_prune_kei": 69, "cont_prune_keys_from_key_chain": 69, "cont_reduc": 69, "cont_remove_key_length_limit": 69, "cont_remove_print_limit": 69, "cont_reshape_lik": 69, "leading_shap": 69, "cont_restructur": 69, "keep_orig": 69, "old": [69, 805, 810, 825], "cont_restructure_key_chain": 69, "keychain_map": 69, "cont_sav": 69, "cont_set_at_key_chain": 69, "cont_set_at_kei": 69, "cont_shap": [69, 623, 641], "cont_show": 69, "cont_show_sub_contain": 69, "sub_cont_or_keychain": 69, "cont_size_ordered_arrai": 69, "keychain": [69, 75, 331, 451, 452, 453, 482], "cont_slice_kei": 69, "all_depth": 69, "cont_slice_via_kei": 69, "slice_kei": 69, "cont_sort_by_kei": 69, "cont_structural_diff": 69, "cont_to_dict": 69, "cont_to_disk_as_hdf5": [69, 837], "starting_index": 69, "max_batch_s": 69, "cont_to_disk_as_json": [69, 837], "cont_to_disk_as_pickl": [69, 837], "cont_to_flat_list": 69, "cont_to_iter": [69, 812], "leaf_keys_onli": 69, "cont_to_iterator_kei": 69, "cont_to_iterator_valu": 69, "cont_to_json": 69, "cont_to_nested_list": 69, "cont_to_raw": 69, "cont_trim_kei": 69, "cont_try_kc": 69, "cont_unifi": 69, "concatten": [69, 208, 618], "cont_unstack_cont": 69, "dim_siz": 69, "cont_update_config": 69, "cont_with_default_key_color": 69, "cont_with_entries_as_list": 69, "cont_with_ivy_backend": 69, "ivy_backend": [69, 827], "cont_with_key_length_limit": [69, 837], "cont_with_print_ind": [69, 837], "cont_with_print_limit": [69, 837], "cont_with_print_line_spac": 69, "h5_file_s": 69, "shuffle_h5_fil": 69, "split_cont": 69, "_is_json": 69, "_repr": 69, "_containerwithconvers": [70, 98], "_static_to_ivi": 70, "_static_to_n": 70, "_containerwithcr": [71, 98], "_static_arang": 71, "_static_asarrai": 71, "_static_copy_arrai": 71, "_static_empti": 71, "_static_empty_lik": 71, "_static_ey": 71, "n_row": [71, 75, 127, 142, 322, 362, 369, 429, 616], "n_col": [71, 75, 127, 142, 322, 362, 616], "_static_from_dlpack": 71, "_static_ful": 71, "_static_full_lik": 71, "static_full_lik": 71, "2324": [71, 131, 616], "234": [71, 74, 131, 154, 237, 288, 616, 617, 619, 623, 647, 763], "123": [71, 72, 131, 163, 536, 616, 621, 793, 829], "_static_linspac": 71, "_static_logspac": 71, "static_logspac": 71, "15443469": [71, 133], "64158883": [71, 133], "_static_meshgrid": 71, "_static_native_arrai": 71, "_static_one_hot": 71, "static_one_hot": 71, "_static_on": 71, "_static_ones_lik": 71, "_static_tril": 71, "_static_triu": 71, "_static_zero": 71, "_static_zeros_lik": 71, "frombuff": [71, 616], "expos": [71, 129, 530, 616, 621, 799, 813, 834, 838, 844], "x00": [71, 129, 616], "xf0": [71, 129, 616], "x01": [71, 129, 616], "x02": [71, 129, 616], "x03": [71, 129, 616], "x04": [71, 129, 616], "x05": [71, 129], "5443469": [71, 133, 616], "static_frombuff": 71, "static_triu_indic": 71, "triu_indic": [71, 616], "_containerwithdatatyp": [72, 98], "_static_astyp": 72, "718": [72, 74, 147, 264, 617], "618": [72, 74, 147, 264, 617], "static_astyp": 72, "_static_broadcast_arrai": 72, "static_broadcast_arrai": 72, "_static_broadcast_to": 72, "static_broadcast_to": 72, "_static_can_cast": 72, "from_": [72, 150, 617], "static_can_cast": 72, "_static_default_complex_dtyp": 72, "complex_dtyp": [72, 153, 176, 617], "_static_default_float_dtyp": 72, "float_dtyp": [72, 155, 178, 617], "_static_dtyp": 72, "_static_finfo": 72, "inquir": [72, 160, 163], "static_finfo": 72, "55040e": [72, 160, 617], "7976931348623157e": [72, 160, 617], "308": [72, 160, 617, 763, 829], "_static_function_supported_dtyp": 72, "_static_function_unsupported_dtyp": 72, "_static_iinfo": 72, "1800": [72, 163, 617], "1084": 72, "40000": 72, "static_iinfo": 72, "2147483648": [72, 75, 163, 371, 481, 617], "2147483647": [72, 163, 617], "_static_is_bool_dtyp": 72, "dtype_in": [72, 145, 146, 159, 165, 166, 167, 168, 169, 170, 171, 172, 187, 617], "_static_is_complex_dtyp": 72, "is_complex_dtyp": [72, 617, 830], "roughli": [72, 805, 808, 858], "static_is_complex_dtyp": 72, "_static_is_float_dtyp": 72, "static_is_float_dtyp": 72, "_static_is_int_dtyp": 72, "_static_is_uint_dtyp": 72, "_static_result_typ": 72, "static_result_typ": 72, "broadcats": [72, 148], "_containerwithdevic": [73, 98], "_static_dev": 73, "static_dev": 73, "_static_to_devic": 73, "static_to_devic": 73, "contaion": [73, 192], "_containerwithelementwis": [74, 98], "_static_ab": 74, "static_ab": 74, "_static_aco": 74, "static_aco": 74, "_static_acosh": 74, "static_acosh": 74, "_static_add": 74, "static_add": [74, 102], "_static_asin": 74, "static_asin": 74, "524": [74, 220, 619], "412": [74, 79, 220, 619, 628, 705], "_static_asinh": 74, "static_asinh": 74, "_static_atan": 74, "static_atan": 74, "_static_atan2": 74, "static_atan2": 74, "915": [74, 223, 619], "983": [74, 223, 619], "978": [74, 223, 619], "696": [74, 84, 223, 619, 727], "993": [74, 223, 619], "_static_atanh": 74, "static_atanh": 74, "_static_bitwise_and": 74, "static_bitwise_and": 74, "_static_bitwise_invert": 74, "static_bitwise_invert": 74, "_static_bitwise_left_shift": 74, "_static_bitwise_or": 74, "static_bitwise_or": 74, "_static_bitwise_right_shift": 74, "static_bitwise_right_shift": 74, "_static_bitwise_xor": 74, "static_bitwise_xor": 74, "_static_ceil": 74, "static_ceil": 74, "_static_co": 74, "static_co": 74, "_static_cosh": 74, "static_cosh": 74, "_static_deg2rad": 74, "static_deg2rad": 74, "0262": [74, 234, 274, 619], "873": [74, 234, 274, 619], "_static_divid": 74, "static_divid": 74, "_static_equ": 74, "static_equ": 74, "_static_erf": 74, "static_erf": 74, "27632612": [74, 237], "934008": [74, 237, 619], "99999928": [74, 237], "91903949": [74, 237], "_static_exp": 74, "static_exp": 74, "59814835": [74, 238, 619], "4131622": [74, 238], "_static_expm1": 74, "thefunct": [74, 237], "areal": 74, "static_expm1": 74, "71828175": [74, 238, 619], "38905621": [74, 238, 619], "59815216": 74, "_static_floor": 74, "static_floor": 74, "_static_floor_divid": 74, "static_floor_divid": 74, "_static_great": 74, "static_great": 74, "_static_greater_equ": 74, "static_greater_equ": 74, "_static_isfinit": 74, "999999999999": [74, 249, 619], "static_isfinit": 74, "_static_isinf": 74, "static_isinf": 74, "_static_isnan": 74, "static_isnan": 74, "_static_isr": 74, "0j": [74, 75, 137, 138, 216, 217, 218, 221, 224, 233, 238, 240, 252, 256, 258, 275, 279, 281, 282, 286, 332, 365, 616, 619, 624, 672], "23j": [74, 75], "9j": [74, 75], "static_isr": 74, "_static_lcm": 74, "1080": [74, 253], "1550": [74, 253], "130": [74, 253, 371, 478], "_static_less": 74, "static_less": 74, "_static_less_equ": 74, "static_less_equ": 74, "_static_log": 74, "static_log": 74, "_static_log10": 74, "static_log10": 74, "898": [74, 257, 619], "0414": [74, 257, 619], "_static_log1p": 74, "static_log1p": 74, "_static_log2": 74, "static_log2": 74, "_static_logaddexp": 74, "static_logaddexp": 74, "_static_logical_and": 74, "static_logical_and": 74, "_static_logical_not": 74, "static_logical_not": 74, "_static_logical_or": 74, "static_logical_or": 74, "_static_logical_xor": 74, "static_logical_xor": 74, "_static_maximum": 74, "static_maximum": 74, "_static_minimum": 74, "static_minimum": 74, "_static_multipli": 74, "static_multipli": 74, "_static_neg": 74, "static_neg": 74, "_static_not_equ": 74, "static_not_equ": 74, "_static_posit": 74, "static_posit": 74, "_static_pow": 74, "static_pow": 74, "_static_rad2deg": 74, "static_rad2deg": 74, "5160": 74, "10300": [74, 274, 619], "15500": 74, "20600": 74, "2860": [74, 274], "_static_reciproc": 74, "recirpoc": [74, 276], "static_reciproc": 74, "_static_remaind": 74, "static_remaind": 74, "_static_round": 74, "thevfunct": 74, "527": [74, 278, 619], "static_round": 74, "301": [74, 278, 619], "_static_sign": 74, "static_sign": 74, "_static_sin": 74, "static_sin": 74, "757": [74, 280, 619], "959": [74, 240, 280, 619], "279": [74, 280, 368, 389, 399, 528, 619, 621], "_static_sinh": 74, "static_sinh": 74, "835": [74, 281], "347": [74, 281], "721": [74, 281], "_static_sqrt": 74, "static_sqrt": 74, "_static_squar": 74, "static_squar": 74, "_static_subtract": 74, "static_subtract": 74, "_static_tan": 74, "static_tan": 74, "_static_tanh": 74, "static_tanh": 74, "995": [74, 286, 619], "9999": 74, "_static_trapz": 74, "static_trapz": 74, "_static_trunc": 74, "static_trunc": 74, "_static_trunc_divid": 74, "75j": [74, 219, 248], "01317055": [74, 219], "05634501": [74, 219], "115": [74, 219, 274, 619], "3461759": [74, 219], "524111": [74, 219], "644": [74, 220, 619, 838], "305": [74, 79, 220, 619], "351": [74, 234, 274], "00613": [74, 234], "0154": [74, 234], "403": [74, 238], "428772": [74, 238], "649": [74, 240], "220": [74, 240], "865": [74, 240], "metho": [74, 247, 259], "7j": [74, 75, 252, 275, 332, 365, 619], "956": [74, 258], "08746284": [74, 261], "32192809": [74, 261], "nuner": [74, 268], "413": [74, 274], "335": [74, 75, 275, 332], "345j": [74, 75, 275, 332], "static_angl": 74, "static_exp2": 74, "static_fmin": 74, "static_gcd": 74, "static_imag": 74, "static_logaddexp2": 74, "static_nan_to_num": 74, "static_r": 74, "_containerwithactivationexperiment": [75, 98], "_static_celu": 75, "formlat": 75, "static_celu": 75, "_static_elu": 75, "static_elu": 75, "_static_hardshrink": 75, "hard": [75, 292, 806, 836, 855], "shrinkag": [75, 292, 301, 371, 480], "_static_hardtanh": 75, "static_hardtanh": [75, 293], "_static_scaled_tanh": 75, "931": 75, "71587813": 75, "88367474": 75, "00376701": [75, 298], "2285642": 75, "99999881": 75, "49999905": 75, "_static_silu": 75, "static_silu": 75, "27777028": [75, 300], "23947507": [75, 300], "0900332": [75, 300], "_static_softshrink": 75, "_static_tanhshrink": 75, "36634541": [75, 303], "02005103": [75, 303], "00262468": [75, 303], "_static_threshold": 75, "19722462": [75, 294], "84729779": [75, 294], "31326163": [75, 295], "46328258": [75, 295], "51301527": [75, 295], "79813886": [75, 295], "simplywrap": [75, 298], "54939651": [75, 298], "09999998": [75, 298, 602, 622], "09999999": [75, 298], "08336546": [75, 298], "0379949": [75, 298], "22856998": [75, 299], "42028043": [75, 299], "31868932": [75, 299], "static_logit": 75, "static_logsigmoid": 75, "34115386": 75, "64439666": 75, "24115384": 75, "55435526": 75, "07888974": 75, "00741899": 75, "26328245": 75, "00012302": 75, "static_prelu": 75, "static_relu6": 75, "static_selu": 75, "static_thresholded_relu": 75, "_containerwithconversionexperiment": [75, 98], "_containerwithcreationexperiment": [75, 98], "_static_trilu": 75, "blackman": [75, 306, 362], "00770143e": [75, 306], "49229857e": [75, 306], "hamming_window": [75, 362], "ham": [75, 308, 362], "4180": [75, 308], "8180": [75, 308], "hann_window": [75, 362], "hann": [75, 309, 362], "7500": [75, 309], "3455": [75, 309], "9045": [75, 309], "kaiser_bessel_derived_window": [75, 362], "suitabl": [75, 311, 312, 362, 633, 742, 765, 805, 806, 812, 830, 855], "spectral": [75, 311, 312, 362], "analysi": [75, 311, 312, 362, 855, 856], "kaiser": [75, 306, 311, 312, 362], "70710677": [75, 311, 493, 495], "18493208": [75, 311, 362], "9827513": [75, 311, 362], "kaiser_window": [75, 362], "static_kaiser_window": [75, 312], "2049": [75, 312], "8712": [75, 312], "0367": [75, 312, 362], "7753": [75, 312], "static_blackman_window": 75, "static_eye_lik": 75, "static_hamming_window": 75, "static_hann_window": 75, "static_hann": 75, "static_kaiser_bessel_derived_window": 75, "static_mel_weight_matrix": 75, "static_polyv": 75, "static_tril_indic": 75, "static_unsorted_segment_mean": 75, "static_unsorted_segment_min": 75, "static_unsorted_segment_sum": 75, "static_vorbis_window": 75, "vorbis_window": [75, 362], "vorbi": [75, 327, 362], "38268343": [75, 327, 624, 659], "92387953": [75, 327], "14943586": [75, 327, 362], "51644717": [75, 327], "85631905": [75, 327], "98877142": [75, 327], "tril_indic": [75, 362], "_containerwithdata_typeexperiment": [75, 98], "_containerwithdeviceexperiment": [75, 98], "_containerwithelementwiseexperiment": [75, 98], "0003": [75, 328, 624, 662, 763, 766], "0006": [75, 328, 355], "2345j": [75, 332], "5772": [75, 336], "9635": [75, 336], "4228": [75, 336], "9228": [75, 336], "57299206e": [75, 337], "67773480e": [75, 337], "20904985e": [75, 337], "84270084": [75, 337, 365], "99532223": [75, 337], "99997795": [75, 337], "mantissa": [75, 341, 365, 814], "frist": [75, 342, 365], "coord": [75, 342], "6055": [75, 343], "160": [75, 345, 371, 478], "10240": [75, 345], "60000038": [75, 346, 365, 624, 680], "0707": [75, 352, 365], "0579": [75, 352, 365], "static_allclos": 75, "static_amax": 75, "static_amin": 75, "static_binar": 75, "static_conj": 75, "static_copysign": 75, "static_count_nonzero": 75, "static_diff": 75, "static_digamma": 75, "57721537": 75, "96351004": 75, "static_erfc": 75, "15729921": 75, "00467773": [75, 337, 365], "static_fix": 75, "static_float_pow": 75, "static_fmax": 75, "static_fmod": 75, "static_frexp": 75, "static_gradi": 75, "static_hypot": 75, "static_isclos": 75, "static_ldexp": 75, "static_lerp": 75, "90000057": [75, 346, 365], "70000076": [75, 346, 365], "55000019": [75, 346, 365], "05000019": [75, 346, 365], "static_modf": 75, "static_nansum": 75, "static_nextaft": 75, "static_signbit": 75, "static_sinc": 75, "636": 75, "090": 75, "070": 75, "057": 75, "static_sparsify_tensor": 75, "static_xlogi": 75, "static_zeta": 75, "0244": [75, 355], "_containerwithgeneralexperiment": [75, 98], "_static_reduc": 75, "static_reduc": 75, "_containerwithgradientsexperiment": [75, 98], "_containerwithimageexperiment": [75, 98], "_containerwithlayersexperiment": [75, 98], "_static_fft": 75, "static_fft": 75, "_static_sliding_window": 75, "673": [75, 389], "0507": [75, 389], "79711437": [75, 368, 389, 399], "94867325": [75, 368, 389, 399], "74089146": [75, 368, 389, 399], "25980937": [75, 368, 389, 399], "64958102": [75, 368, 389, 399], "2442648": [75, 368, 389, 399], "247306": [75, 401], "908323j": [75, 401], "494955": [75, 401], "90395j": [75, 401], "static_adaptive_avg_pool1d": 75, "static_adaptive_avg_pool2d": 75, "static_adaptive_max_pool2d": 75, "static_avg_pool1d": 75, "static_avg_pool2d": 75, "static_avg_pool3d": 75, "static_dct": 75, "253": [75, 281, 619], "515": [75, 630, 727], "467": 75, "static_dft": 75, "static_embed": 75, "static_idct": 75, "93732834": [75, 368, 389], "75048852": [75, 368, 389], "29723358": [75, 368, 399], "6950531": 75, "93914509": 75, "88008738": 75, "18951225": 75, "06697273": [75, 368, 399], "57439804": 75, "68861485": [75, 368, 399], "41308832": [75, 368, 399], "0700836": 75, "2449036": 75, "6711426": 75, "514": 75, "501709": 75, "4924011": 75, "static_ifft": 75, "static_ifftn": 75, "static_interpol": 75, "static_max_pool1d": 75, "static_max_pool2d": 75, "max_pool2dd": 75, "static_max_pool3d": 75, "static_max_unpool1d": 75, "static_rfft": 75, "static_rfftn": 75, "static_rnn": 75, "step_funct": [75, 368, 413], "initial_st": [75, 368, 413], "go_backward": [75, 368, 413], "unrol": [75, 368, 413, 623, 648, 834, 837], "input_length": [75, 368, 413], "time_major": [75, 368, 413, 623, 648], "zero_output_for_mask": [75, 368, 413], "return_all_output": [75, 368, 413], "rnn": [75, 368, 855], "tempor": [75, 368, 413], "state_s": [75, 368, 413], "while_loop": [75, 368, 413, 615], "otput": [75, 368, 413], "funciton": [75, 368, 413], "static_stft": 75, "_containerwithlinearalgebraexperiment": [75, 98], "933034": [75, 369, 418], "eigenvealu": [75, 421, 658], "xx": [75, 421, 423, 658], "37228107": [75, 421, 658], "3722816": [75, 421, 658], "8245648": [75, 421, 658], "41597357": [75, 421, 658], "56576747": [75, 421, 658], "9093767": [75, 421, 658], "56155": [75, 422], "82842": [75, 422], "450": [75, 428], "static_adjoint": 75, "static_batched_out": 75, "static_cond": 75, "static_diagflat": 75, "static_dot": 75, "static_eig": 75, "static_eigh_tridiagon": 75, "static_eigv": 75, "static_higher_order_mo": 75, "static_initialize_tuck": 75, "static_kron": 75, "kroneck": [75, 369, 427, 428], "static_make_svd_non_neg": 75, "static_matrix_exp": 75, "static_mode_dot": 75, "static_multi_dot": 75, "static_multi_mode_dot": 75, "static_partial_tuck": 75, "static_svd_flip": 75, "static_tensor_train": 75, "static_truncated_svd": 75, "static_tt_matrix_to_tensor": 75, "tt_matrix": [75, 369, 440], "output_tensor": [75, 95, 369, 440], "static_tuck": 75, "_containerwithlossesexperiment": [75, 98], "_static_huber_loss": 75, "static_huber_loss": 75, "0575": [75, 442], "_static_kl_div": 75, "_static_l1_loss": 75, "static_l1_loss": 75, "_static_log_poisson_loss": 75, "static_log_poisson_loss": 75, "_static_poisson_nll_loss": 75, "06446016": 75, "55611551": 75, "30244565": [75, 446], "_static_smooth_l1_loss": 75, "static_smooth_l1_loss": 75, "_static_soft_margin_loss": 75, "06429195": [75, 446], "_containerwithmanipulationexperiment": [75, 98], "_static_fill_diagon": 75, "_static_put_along_axi": 75, "_static_tak": 75, "69999981": [75, 301, 360, 371, 457, 481], "_static_trim_zero": 75, "_static_unique_consecut": 75, "ary1": [75, 371, 451, 452, 453], "ary2": [75, 371, 451, 452, 453], "broadcast_shap": [75, 101, 371, 763, 765], "static_concat_from_sequ": [75, 458], "30192195": [75, 470], "static_as_strid": 75, "static_atleast_1d": 75, "static_atleast_2d": 75, "static_atleast_3d": 75, "static_broadcast_shap": 75, "static_column_stack": 75, "static_dsplit": 75, "static_dstack": 75, "static_expand": 75, "static_flatten": 75, "static_fliplr": 75, "static_flipud": 75, "static_fold": 75, "static_heavisid": 75, "static_hsplit": 75, "static_hstack": 75, "static_i0": 75, "static_matric": 75, "static_moveaxi": 75, "static_pad": 75, "static_partial_fold": 75, "static_partial_tensor_to_vec": 75, "static_partial_unfold": 75, "static_partial_vec_to_tensor": 75, "static_rot90": 75, "static_soft_threshold": 75, "static_take_along_axi": 75, "static_top_k": 75, "static_unfold": 75, "static_vsplit": 75, "static_vstack": 75, "_containerwithnormsexperiment": [75, 98], "16903085": [75, 493, 495], "50709254": [75, 493, 495], "84515423": [75, 493, 495], "44183609": [75, 493, 495], "56807494": [75, 493, 495], "69431382": [75, 493, 495], "static_batch_norm": 75, "static_group_norm": 75, "static_instance_norm": 75, "static_l1_norm": 75, "static_l2_norm": 75, "static_lp_norm": 75, "12500000": 75, "37500000": 75, "62500000": 75, "27500000": 75, "35000000": 75, "42500000": 75, "0000000": 75, "5000000": 75, "2500000": 75, "_containerwithrandomexperiment": [75, 98], "43643127": [75, 498], "32325703": [75, 498], "24031169": [75, 498], "34251311": [75, 498], "31692529": [75, 498], "3405616": [75, 498], "5319725": [75, 498], "22458365": [75, 498], "24344385": [75, 498], "26588406": [75, 498], "61075421": [75, 498], "12336174": [75, 498], "51142915": [75, 498], "25041268": [75, 498], "23815817": [75, 498], "64042903": [75, 498], "25763214": [75, 498], "10193883": [75, 498], "31624692": [75, 498], "46567987": [75, 498], "21807321": [75, 498], "37677699": [75, 498], "39914594": [75, 498], "22407707": [75, 498], "static_bernoulli": 75, "static_beta": 75, "static_dirichlet": 75, "static_gamma": 75, "static_poisson": 75, "_containerwithsearchingexperiment": [75, 98], "static_unravel_index": 75, "_containerwithsetexperiment": [75, 98], "_containerwithsortingexperiment": [75, 98], "invert_permut": [75, 378], "static_invert_permut": 75, "static_lexsort": [75, 87], "_containerwithstatisticalexperiment": [75, 98], "_static_cummax": 75, "static_cummax": 75, "_static_cummin": 75, "static_cummin": 75, "_static_nanmin": 75, "static_nanmin": 75, "func_nam": [75, 513, 804, 816, 817, 822, 826], "static_bincount": 75, "static_corrcoef": 75, "static_cov": [75, 380, 510], "static_histogram": 75, "static_igamma": 75, "static_median": 75, "static_nanmean": 75, "static_nanmedian": 75, "static_nanprod": 75, "static_quantil": 75, "_containerwithutilityexperiment": [75, 98], "static_optional_get_el": 75, "_containerwithgener": [76, 98], "_static_all_equ": 76, "static_all_equ": 76, "_static_array_equ": 76, "a0": [76, 371, 457], "static_array_equ": 76, "_static_assert_supports_inplac": 76, "_static_clip_matrix_norm": 76, "static_clip_matrix_norm": 76, "849": [76, 528, 529, 621], "_static_clip_vector_norm": 76, "static_clip_vector_norm": 76, "_static_einops_rearrang": 76, "static_einops_rearrang": 76, "_static_einops_reduc": 76, "static_einops_reduc": 76, "29333329": [76, 534, 621], "53000069": [76, 534, 621], "39666676": [76, 534, 621], "20666695": [76, 534, 621], "_static_einops_repeat": 76, "static_einops_repeat": 76, "_static_exist": 76, "_static_fourier_encod": 76, "static_fourier_encod": 76, "classivi": [76, 626, 632, 695, 737], "89858720e": 76, "79717439e": 76, "_static_gath": 76, "static_gath": 76, "_static_gather_nd": 76, "static_gather_nd": 76, "_static_get_num_dim": 76, "static_get_num_dim": 76, "_static_has_nan": 76, "leafwis": 76, "static_has_nan": 76, "_static_inplace_decr": 76, "_static_inplace_incr": 76, "_static_inplace_upd": 76, "_static_is_arrai": 76, "static_is_arrai": 76, "_static_is_ivy_arrai": 76, "static_is_ivy_arrai": 76, "_static_is_native_arrai": 76, "static_is_native_arrai": 76, "_static_scatter_flat": 76, "_static_scatter_nd": 76, "static_scatter_nd": 76, "_static_stable_divid": 76, "22222222": 76, "11111111": 76, "857": [76, 579, 621], "444": 76, "_static_stable_pow": 76, "00012": [76, 580, 621], "00016": [76, 77, 580, 608, 621, 622], "00001": [76, 580, 621, 763], "00032": [76, 580], "00256": [76, 580], "1679638": [76, 580], "395": [76, 580], "16777383": [76, 580], "_static_supports_inplace_upd": 76, "_static_to_list": 76, "static_to_list": 76, "_static_to_numpi": 76, "static_to_numpi": 76, "_static_to_scalar": 76, "static_to_scalar": 76, "_static_value_is_nan": 76, "452": 76, "static_value_is_nan": 76, "833": [76, 529], "items": [76, 97, 621], "static_isin": 76, "static_items": 76, "static_strid": 76, "425": [76, 600], "_containerwithgradi": [77, 98], "_static_stop_gradi": 77, "static_stop_gradi": 77, "976": [77, 286, 602, 619, 622], "49e": [77, 602, 622], "74e": [77, 602, 622], "95e": [77, 602, 622], "024": [77, 602, 622], "096": [77, 602, 622], "216": [77, 80, 602, 622, 679], "626": [77, 602, 622], "en": [77, 602, 603, 622, 813], "wikipedia": [77, 602, 603, 622], "wiki": [77, 602, 603, 622], "stochastic_gradient_desc": [77, 602, 603, 622], "01099": [77, 603], "01003": [77, 603, 622], "01015": [77, 603, 622], "99936122": [77, 603, 622], "99936116": [77, 603, 622], "99936128": [77, 603, 622], "99936104": [77, 603, 622], "w_new": [77, 606, 622], "708": [77, 608, 622], "445": [77, 608, 622], "6e": [77, 608, 622], "00036": [77, 608, 622], "00049": [77, 608, 622], "layerwis": [77, 609, 622], "01132035": [77, 609, 622], "22264051": [77, 609, 622], "2056601": [77, 609, 622], "1324538": [77, 609, 622], "56490755": [77, 609, 622], "96622658": [77, 609, 622], "90848625": [77, 609, 622], "93616199": [77, 609, 622], "77232409": [77, 609, 622], "_containerwithimag": [78, 98], "_containerwithlay": [79, 98], "_static_conv1d": 79, "static_conv1d": 79, "_static_conv1d_transpos": 79, "static_conv1d_transpos": 79, "112": [79, 624, 634, 638, 669, 746], "_static_conv2d": 79, "ey": [79, 616, 623, 639, 645, 832, 839], "static_conv2d": 79, "_static_conv2d_transpos": 79, "static_conv2d_transpos": 79, "_static_conv3d": 79, "fdfh": [79, 641], "static_conv3d": 79, "_static_conv3d_transpos": 79, "static_conv3d_transpos": 79, "_static_depthwise_conv2d": 79, "inp": [79, 623, 645], "static_depthwise_conv2d": 79, "_static_dropout": 79, "static_dropout": 79, "_static_dropout1d": 79, "static_dropout1d": 79, "_static_dropout2d": 79, "_static_dropout3d": 79, "_static_linear": 79, "278": [79, 623, 646, 647], "static_linear": 79, "195": 79, "_static_lstm_upd": 79, "_static_multi_head_attent": 79, "_static_reduce_window": 79, "_static_scaled_dot_product_attent": 79, "static_scaled_dot_product_attent": 79, "39999962": [79, 623, 646, 647], "19999695": [79, 647], "11600018": [79, 647], "88399887": [79, 647], "196": [79, 623, 647], "306": [79, 623, 647], "19999981": [79, 292, 304, 360, 623, 646, 652], "59249449": [79, 623, 652], "68226194": [79, 623, 652], "19603825": [79, 623, 652], "9960382": [79, 623, 652], "26894283": [79, 623, 652], "40236187": [79, 623, 652], "39999437": [79, 623, 652], "59999037": [79, 623, 652], "35046196": [79, 623, 652], "54282808": [79, 623, 652], "39989519": [79, 623, 652], "5998764": [79, 623, 652], "_containerwithlinearalgebra": [80, 98], "_static_choleski": 80, "static_choleski": 80, "577": [80, 624, 653], "707": [80, 624, 653], "static_rol": [80, 82], "_static_cross": 80, "static_cross": 80, "_static_det": 80, "_static_diag": 80, "_static_diagon": 80, "static_diagon": 80, "_static_eigh": 80, "_static_eigvalsh": 80, "static_eigvalsh": 80, "51572949": [80, 624, 660], "17091519": [80, 624, 660], "3448143": [80, 624, 660], "35898387e": [80, 624, 660], "46410179e": [80, 624, 660], "_static_inn": 80, "static_inn": 80, "_static_inv": 80, "static_inv": 80, "_static_matmul": 80, "matul": 80, "static_matmul": 80, "_static_matrix_norm": 80, "deimens": 80, "static_matrix_norm": 80, "_static_matrix_pow": 80, "_static_matrix_rank": 80, "static_matrix_rank": 80, "_static_matrix_transpos": 80, "static_matrix_transpos": 80, "_static_out": 80, "n1": [80, 134, 616], "n2": [80, 134, 616], "static_out": [80, 669], "_static_pinv": 80, "static_pinv": 80, "0426": 80, "0964": 80, "0605": 80, "1368": 80, "_static_qr": 80, "static_qr": 80, "31622777": [80, 624, 671], "9486833": [80, 624, 671], "4472136": [80, 624, 671], "89442719": [80, 624, 671], "16227766": [80, 624, 671], "42718872": [80, 624, 671], "63245553": [80, 624, 671], "47213595": [80, 624, 671], "81377674": [80, 624, 671], "_static_slogdet": 80, "static_slogdet": 80, "6931472": 80, "0986123": 80, "_static_solv": 80, "_static_svd": 80, "static_svd": 80, "au": 80, "aS": 80, "avh": 80, "bu": [80, 845], "bvh": 80, "_static_svdv": 80, "_static_tensordot": 80, "_static_tensorsolv": 80, "_static_trac": 80, "static_trac": 80, "_static_vand": 80, "static_vand": 80, "343": [80, 278, 619, 679], "729": [80, 679, 838], "_static_vecdot": 80, "_static_vector_norm": 80, "static_vector_norm": 80, "77359247": [80, 681], "_static_vector_to_skew_symmetric_matrix": 80, "09861231": [80, 624, 672], "static_general_inner_product": 80, "3475602": [80, 674], "93765765": [80, 674], "58776021": [80, 674], "10416126": [80, 674], "80644298": [80, 674], "87024701": [80, 674], "48127627": [80, 674], "79101127": [80, 674], "98288572": [80, 674], "68917423": [80, 674], "_containerwithloss": [81, 98], "_static_binary_cross_entropi": 81, "static_binary_cross_entropi": 81, "511": [81, 625, 683, 685], "_static_cross_entropi": 81, "static_cross_entropi": 81, "20397282": 81, "83258148": 81, "60943794": [81, 624, 672], "_static_sparse_cross_entropi": 81, "static_sparse_cross_entropi": 81, "5108256": [81, 684], "609438": [81, 684], "_containerwithmanipul": [82, 98], "_static_clip": 82, "static_clip": 82, "_static_concat": 82, "_static_constant_pad": 82, "static_constant_pad": 82, "_static_expand_dim": 82, "static_expand_dim": 82, "container_axi": [82, 626, 689], "_static_flip": 82, "static_flip": 82, "_static_permute_dim": 82, "static_permute_dim": 82, "_static_repeat": 82, "static_repeat": 82, "_static_reshap": 82, "static_reshap": 82, "_static_rol": 82, "positivclip": 82, "_static_split": 82, "static_split": 82, "_static_squeez": 82, "static_squeez": 82, "_static_stack": 82, "leavv": 82, "static_stack": 82, "_static_swapax": 82, "_static_til": 82, "static_til": 82, "_static_unstack": 82, "static_unstack": 82, "_static_zero_pad": 82, "repreat": [82, 692], "_containerwithnorm": [83, 98], "34198591": [83, 629, 724], "04274819": [83, 629, 724], "29923761": [83, 629, 724], "24053511": [83, 629, 724], "62221265": [83, 724], "20277636": [83, 724], "41943574": [83, 724], "83710337": [83, 724], "_containerwithrandom": [84, 98], "_static_multinomi": 84, "_static_randint": 84, "static_randint": 84, "_static_random_norm": 84, "static_random_norm": 84, "651": 84, "_static_random_uniform": 84, "static_random_uniform": 84, "481": 84, "0999": 84, "_static_shuffl": 84, "static_shuffl": 84, "431": [84, 727], "274": [84, 727], "_containerwithsearch": [85, 98], "_static_argmax": 85, "static_argmax": 85, "_static_argmin": 85, "static_argmin": 85, "_static_argwher": 85, "static_argwher": 85, "_static_nonzero": 85, "_static_wher": 85, "static_wher": 85, "_containerwithset": [86, 98], "_static_unique_al": 86, "static_unique_al": 86, "_static_unique_count": 86, "static_unique_count": 86, "_static_unique_invers": 86, "static_unique_invers": 86, "_static_unique_valu": 86, "_containerwithsort": [87, 98], "_static_argsort": 87, "static_argsort": 87, "_static_searchsort": 87, "_static_sort": 87, "static_sort": 87, "static_msort": 87, "_containerwithstatist": [88, 98], "_static_cumprod": 88, "static_cumprod": 88, "_static_cumsum": 88, "static_cumsum": 88, "_static_min": 88, "_static_prod": 88, "static_prod": 88, "11000001": [88, 750], "23100001": [88, 750], "30800003": [88, 634, 750], "_static_sum": 88, "_static_var": 88, "static_var": 88, "12666667": [88, 634, 753], "11555555": [88, 634, 753], "rtype": [88, 746, 792], "respectv": [88, 751], "81649649": [88, 751], "94280904": [88, 751], "509902": [88, 634, 751], "2472192": [88, 751], "44948983": [88, 751], "41421354": [88, 751], "6666667": [88, 753], "_containerwithutil": [89, 98], "_static_al": 89, "static_al": 89, "_static_ani": 89, "static_ani": 89, "add_ivy_container_instance_method": 90, "containerexampl": 90, "factorized_tensor": [91, 92, 93, 94, 95, 96], "factorizedtensor": [91, 92, 93, 94, 95, 96], "matrix_or_tensor": 91, "to_tensor": [91, 92, 93, 94, 95, 96], "to_unfold": [91, 92, 93, 94, 95, 96], "to_vec": [91, 92, 93, 94, 95, 96], "cp_tensor": [92, 93], "cptensor": [92, 93, 317, 362], "cp_copi": 92, "cp_flip_sign": 92, "s_i": [92, 93], "normalisation_weight": [92, 93], "normalised_factor": [92, 93], "cp_lstsq_grad": 92, "return_loss": 92, "nabla": 92, "mathcal": 92, "mathbf": 92, "factor_matric": 92, "cp_gradient": 92, "quantiti": 92, "cp_mode_dot": 92, "keep_dim": [92, 96], "cp_multi_mode_dot": 92, "cp_n_param": 92, "tensor_shap": [92, 94, 95, 96], "n_param": [92, 93, 94, 95, 96], "cp_norm": 92, "cp_to_tensor": 92, "khatria": 92, "rao": [92, 369, 427], "khatri": [92, 369, 427], "cp_normal": 92, "normalis": [92, 93], "u_1": [92, 93], "u_n": [92, 93], "v_1": [92, 93], "v_n": [92, 93], "v_k": [92, 93], "u_k": [92, 93], "absorb": [92, 93], "refold": [92, 371, 466, 477], "cp_to_unfold": 92, "ie": 92, "s_u_i": 92, "exploit": [92, 858], "khatri_rao": [92, 369], "cp_to_vec": 92, "ravel": [92, 832], "unfolding_dot_khatri_rao": 92, "mttkrp": 92, "validate_cp_rank": 92, "percent": [92, 95], "validate_cp_tensor": 92, "parafac2_tensor": 93, "parafac2tensor": [93, 318, 362], "apply_parafac2_project": 93, "evolv": [93, 844, 855], "b_i": 93, "ijk": [93, 793], "sum_r": 93, "a_": 93, "ir": [93, 853, 856, 861], "jr": 93, "kr": 93, "coupl": [93, 805, 809, 836, 838, 855], "factoris": 93, "i1": [93, 380, 513], "classmethod": [93, 100, 101, 768], "from_cptensor": 93, "parafac2_tensor_ok": 93, "parafac2_normalis": 93, "normalised_project": 93, "parafac2_to_slic": 93, "slice_idx": 93, "frontal": 93, "a_i": 93, "j_i": 93, "b_": 93, "reformul": 93, "p_i": 93, "orthogon": [93, 317, 321, 362, 369, 421, 435, 441, 624, 658, 659], "sum_": 93, "ijr": 93, "constraint": [93, 793, 813, 814, 824], "projection_matric": 93, "parafac2_to_tensor": 93, "construct": [93, 626, 699, 779, 782, 783, 784, 828, 834, 838, 839, 853, 855, 862], "uneven": 93, "parafac2_to_unfold": 93, "parafac2_to_vec": 93, "validate_parafac2_tensor": 93, "cp": [93, 317, 362, 806], "tr_tensor": 94, "trtensor": [94, 319, 362], "tr_n_param": 94, "tr_to_tensor": 94, "tr_to_unfold": 94, "tr_to_vec": 94, "validate_tr_rank": 94, "validate_tr_tensor": 94, "tt_tensor": 95, "_tt_n_param": 95, "mp": [95, 320, 362], "index_upd": 95, "pad_tt_rank": 95, "factor_list": 95, "n_pad": 95, "pad_boundari": 95, "ring": 95, "bond": 95, "padded_factor_list": 95, "tt_to_tensor": 95, "assembl": [95, 369, 440], "tt_to_unfold": 95, "reassembl": 95, "tt_to_vec": 95, "validate_tt_rank": 95, "constant_rank": 95, "allow_overparametr": 95, "proport": [95, 778], "realiz": [95, 855], "validate_tt_tensor": 95, "tucker_tensor": 96, "tucker_copi": 96, "tucker_mode_dot": [96, 862], "tucker_n_param": 96, "tucker_norm": 96, "tucker_to_tensor": 96, "skip_factor": 96, "transpose_factor": 96, "tucker_to_unfold": 96, "tucker_to_vec": 96, "validate_tucker_rank": 96, "fixed_mod": 96, "validate_tucker_tensor": 96, "_bisection_root_find": 96, "fun": [96, 359, 367, 601, 621, 628, 716, 813], "max_it": 96, "__abs__": [97, 98], "__add__": [97, 98, 809, 812, 816, 817, 821, 826, 827, 836], "__eq__": [97, 98], "__ge__": [97, 98], "__gt__": [97, 98, 832], "__le__": [97, 98], "__lt__": [97, 98], "__ne__": [97, 98], "__pow__": [97, 98, 836], "69678056": 97, "59876156": 97, "82660675": 97, "__radd__": [97, 98, 816, 817, 826], "__rrshift__": [97, 98], "__rshift__": [97, 98], "__rsub__": [97, 98], "__sub__": [97, 98, 809, 812, 816, 821, 836], "__truediv__": [97, 98, 809, 812, 816], "__xor__": [97, 98], "referenc": [97, 818, 825], "resid": [97, 101, 626, 689, 826, 834, 838], "mt": [97, 836], "hopefulli": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846], "overview": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 811, 813, 827, 829, 833], "reach": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846, 854, 855], "eq": 98, "ge": 98, "le": 98, "ne": 98, "75979435": 98, "52153397": 98, "13532257": 98, "rshift": 98, "truediv": 98, "66666669": [98, 374, 495, 604, 622], "nested_arrai": [100, 101, 102, 811], "nestedarrai": 100, "nested_rank": [100, 101, 102], "inner_shap": [100, 101, 102], "nestedarraybas": [100, 101, 102], "from_row_length": 100, "row_length": 100, "from_row_split": 100, "row_split": 100, "ragged_map": 101, "ragged_multi_map": 101, "ragged_arrai": 101, "ragged_multi_map_in_funct": 101, "replace_ivy_arrai": 101, "unbind": 101, "nestedarrayelementwis": 102, "strictli": [107, 110, 113, 242, 613, 619, 821, 825], "24000001": [107, 613], "703": [108, 613], "683": [108, 613], "408": [108, 613], "313": [108, 613], "437": [108, 613], "40337825": [109, 613], "56114835": [109, 613], "20788449": [109, 613], "0768": [112, 613], "231": [112, 613], "\u03b2": [113, 613], "66666667": [114, 380, 510, 613], "body_fn": [117, 118, 120, 615], "bodi": [117, 120, 615, 808, 829], "lst": [117, 615], "orelse_fn": [118, 615], "body1": [119, 615], "body2": [119, 615], "test_fn": [120, 615, 761, 799, 849, 850], "repeatedli": [120, 615, 628, 714, 813, 829], "ml_framework": [121, 616], "distanc": [121, 616], "adjac": [121, 616], "nestedsequ": [122, 123, 616], "typevar": [122, 123, 616], "supportsbufferprotocol": [122, 123, 616], "static_copy_arrai": [124, 616], "intdtyp": [127, 138, 144, 156, 167, 172, 179, 185, 616, 617], "pycapsul": [128, 139, 616], "interchang": [128, 139, 616, 626, 698], "plu": [129, 616], "x00b": [129, 616], "x00d": [129, 616], "x00e": [129, 616], "66666663": [132, 616], "41588834": [133, 616], "7827941": [133, 616], "6227766": [133, 616], "23413252": [133, 616], "n3": [134, 616], "xv": [134, 616], "yv": [134, 616], "x_nativ": [135, 616, 825], "y_nativ": [135, 616], "z_nativ": [135, 616], "d_type": [137, 616], "col": [142, 322, 362, 616], "primari": [142, 161, 162, 194, 195, 322, 362, 378, 503, 538, 539, 616, 617, 618, 621, 764, 766, 804, 807, 810, 814, 823, 825, 826, 828, 829, 832, 840, 842], "upward": [142, 322, 362, 616], "downward": [142, 322, 362, 616], "2xn": [142, 322, 362, 616], "subarrai": [142, 322, 362, 616], "incompat": [149, 617], "closest": [152, 231, 241, 242, 278, 288, 617, 619, 829, 832], "xtype": [152, 617], "ytype": [152, 617], "native_uint16": [152, 617], "complexdtyp": [153, 167, 176, 617], "set_default_complex_dtyp": [153, 182, 617], "4294": [153, 155, 617], "967346": [153, 155, 617], "set_default_dtyp": [154, 183, 617, 814, 822], "floatdtyp": [155, 178, 617], "set_default_float_dtyp": [155, 164, 176, 184, 617, 814], "int_dtyp": [156, 179, 617], "set_default_int_dtyp": [156, 164, 185, 617, 814], "4294967346": [156, 157, 617], "uint_dtyp": [157, 180, 617], "uint": [157, 172, 180, 186, 617, 814, 827], "uintdtyp": [157, 172, 180, 186, 617], "set_default_uint_dtyp": [157, 164, 186, 617], "native_bool": [159, 617], "ieee": [160, 218, 235, 240, 258, 268, 277, 282, 285, 614, 617, 619, 845], "754": [160, 218, 235, 240, 258, 268, 277, 282, 285, 614, 617, 619, 845], "smallest_norm": [160, 617], "bfloat16": [161, 617, 763, 764, 814, 826, 829, 830], "unsupport": [162, 195, 539, 617, 618, 621, 758, 761, 802, 805, 819, 826], "encapsul": [163, 617, 813], "314": [163, 275, 332, 365, 617, 619], "9223372036854775808": [163, 617], "9223372036854775807": [163, 617], "65535": [163, 617], "4294967295": [163, 617], "native_uint8": [165, 617], "hashabl": [169, 617], "type1": [173, 617], "type2": [173, 617], "array_api_promot": [173, 174, 617, 763, 764], "unexpect": [174, 242, 617, 619, 814], "default_complex_dtyp": [176, 617], "default_dtype_stack": [177, 183, 617], "unset_default_dtyp": [177, 617], "native_uint64": [177, 617], "default_float_dtyp": [178, 617, 814], "default_int_dtyp": [179, 185, 617, 814], "default_uint_dtyp": [180, 186, 617], "ret1": [181, 617], "ret2": [181, 617], "reset": [182, 183, 184, 185, 186, 212, 213, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 617, 618, 621, 815], "default_complex_dtype_stack": [182, 617], "default_float_dtype_stack": [184, 617], "native_float16": [187, 617], "unmodifi": [189, 618, 810, 814], "aliv": [196, 201, 203, 542, 562, 563, 618, 621, 815], "139740789224448": [196, 618], "physic": [199, 618], "process_specif": [202, 214, 618], "percentag": [202, 618], "ram": [202, 210, 214, 618], "alon": [202, 214, 618, 799, 820, 829], "036902561555": [202, 618], "7024003467681645": [202, 618], "as_native_dev": [202, 618], "7095597456708771": [202, 618], "attr_onli": [203, 618], "soft_device_mod": [205, 213, 618], "chunk": [206, 207, 208, 618], "split_factor": [206, 618, 818], "max_chunk_s": [208, 618], "chunk_siz": [208, 618], "input_ax": [208, 618], "output_ax": [208, 618], "usag": [208, 618, 814, 822, 825, 829, 834, 840, 845, 858], "fed": [208, 618, 838], "fist": [208, 618], "gb": [210, 214, 618, 805, 819], "66700032": [210, 618], "589934592": [210, 618], "219563008": [214, 618], "902400346": [214, 618], "525205504": [214, 618], "na": [215, 619, 829], "noqa": [215, 282, 619, 779, 788, 827], "princip": [216, 220, 222, 352, 365, 619], "domain": [216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 256, 257, 259, 280, 281, 282, 285, 286, 352, 365, 619, 817, 853, 855], "codomain": [216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 256, 257, 259, 280, 281, 282, 285, 286, 352, 365, 619, 817], "\u03c0": [216, 220, 222, 223, 614, 619], "3\u03c0": [216, 223, 619], "unspecifi": [216, 217, 221, 224, 233, 238, 240, 242, 277, 281, 282, 286, 369, 421, 619, 624, 626, 658, 659, 697, 825], "\u03c0j": [217, 221, 224, 256, 258, 619], "3\u03c0j": [217, 256, 258, 619], "x1_i": [218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 619, 808], "2019": [218, 235, 240, 258, 268, 619, 855, 858], "overflow": [218, 235, 242, 619, 624, 634, 672, 752, 803, 814], "commut": [218, 619], "tabl": [218, 235, 268, 573, 595, 619, 621, 763, 764, 779, 826, 831, 855], "dj": [218, 235, 268, 619], "bj": [218, 235, 268, 332, 365, 619], "z1": [218, 619], "z2": [218, 619], "yj": [219, 619], "nanj": [221, 619], "809": [221, 619], "569": [221, 619], "733": [221, 619], "notat": [223, 619, 634, 746, 813], "denot": [223, 619, 781], "quadrant": [223, 619], "rai": [223, 619, 845], "bitwis": [225, 228, 230, 265, 619], "170": [229, 619], "243": [229, 619], "xor": [230, 265, 619], "654": [232, 619], "ci": [233, 238, 240, 281, 619, 808, 814, 820, 827, 829, 840], "368": [233, 619], "670": [233, 619], "202": [233, 619, 808], "548": [233, 619], "1490": [233, 619], "57079633": [234, 619], "14159265": [234, 619], "71238898": [234, 619], "28318531": [234, 619], "02617994": [234, 619], "87266463": [234, 619], "01919862": [234, 619], "03839725": [234, 619], "05759586": [234, 619], "07679449": [234, 619], "09599311": [234, 619], "11519173": [234, 619], "35081118": [234, 619], "88139129": [234, 619], "underflow": [235, 242, 619, 624, 672, 814], "textbook": [235, 268, 619], "frac": [235, 257, 259, 279, 281, 285, 368, 374, 395, 396, 400, 401, 489, 491, 619], "ac": [235, 268, 619, 792, 793], "bd": [235, 268, 619], "bc": [235, 268, 619, 792, 793], "versu": [235, 268, 619], "riemann": [235, 268, 619], "sphere": [235, 268, 619], "c99": [235, 268, 619], "infinit": [235, 268, 282, 619], "unlik": [235, 268, 619, 808, 813, 816, 845, 860, 862], "698": [235, 619], "truth": [236, 246, 247, 254, 255, 271, 370, 442, 619, 758, 760, 771, 802, 819, 826, 829], "32862675": [237, 619], "67780113": [237, 619], "11246294": [237, 619], "42839241": [237, 619], "52050018": [237, 619], "16799599": [237, 619], "30787992": [237, 619], "43796915": [237, 619], "98667163": [237, 619], "79690808": [237, 619], "88020504": [237, 619], "91031402": [237, 619], "95228523": [237, 619], "96610528": [237, 619], "cut": [238, 240, 280, 281, 282, 285, 619, 804, 844, 861], "08553692": [238, 619], "567": [238, 619], "00344786": [238, 619], "76297021": [238, 619], "197948": [238, 619], "53253174": [238, 619], "accur": [240, 258, 619, 624, 672, 823], "fdlibm": [240, 258, 619], "compliant": [240, 258, 263, 264, 329, 330, 365, 619, 634, 747, 748, 749, 751], "potenti": [240, 258, 619, 799, 804, 805, 813, 814, 826, 833, 858], "632": [240, 619], "20e": [240, 619], "72e": [240, 619, 763], "greatest": [241, 242, 245, 619], "pep": [242, 619, 821], "disambigu": [242, 619, 824], "former": [242, 619, 805, 814, 817, 826], "latter": [242, 619, 805, 808, 810, 814, 817, 826], "overload": [242, 619, 829], "led": [242, 619, 808, 857], "subtl": [242, 619, 814, 861], "bug": [242, 619, 799, 804, 806, 811, 819, 820, 826, 829, 841], "ambigu": [242, 619], "semant": [242, 277, 371, 481, 619, 814, 834, 839, 844, 856], "ill": [242, 619, 765], "surpris": [242, 619, 840], "arrau": [248, 619], "log_": [257, 259, 619], "742": [258, 619], "negat": [270, 332, 365, 619], "52095687": [273, 619], "92457771": [273, 619], "49372482": [273, 619], "22738838": [273, 619], "156": [273, 619, 763], "5877228": [273, 619], "189": [274, 619, 628, 705], "252": [274, 619], "378": [274, 619], "1150": [274, 619], "2890": [274, 619], "172": [274, 619], "487": [274, 619, 623, 647], "344": [274, 619], "355j": [275, 332, 365, 619], "55j": [275, 332, 365, 619], "primarili": [277, 619, 804, 812, 855], "reason": [277, 286, 619, 804, 806, 808, 809, 812, 813, 814, 816, 822, 825, 826, 829, 830, 832, 834, 836, 845, 861], "counterpart": [278, 619, 812, 823], "deliber": [278, 619, 832], "imprecis": [278, 619], "5654": [278, 619], "034": [278, 619], "433": [278, 605, 607, 619, 622], "signum": [279, 619], "operatornam": [279, 281, 619, 624, 659], "textrm": [279, 619], "932": [280, 619], "746": [280, 619], "657": [280, 529, 619, 621], "indistinguish": [282, 619], "convent": [282, 619, 624, 634, 664, 746, 806, 810, 821, 830, 844, 861], "infti": [282, 619], "32455532": [282, 619], "89897949": [282, 619], "169": [282, 619], "analyt": [285, 619, 855, 857, 861], "pole": [285, 619], "546": [285, 619, 623, 647], "916": [285, 619, 625, 683], "996": [285, 619], "histor": [286, 619], "stem": [286, 619, 825], "older": [286, 619], "advis": [286, 619, 826], "462": [286, 619], "604": [286, 619], "984": [286, 619], "997": [286, 619], "0375": [288, 619], "032": [288, 619], "57258511": [291, 360], "69999999": [291, 360, 612, 622], "90928203": [291, 360], "98772264": [291, 360], "99591321": [291, 360], "99863964": [291, 360], "69880581": [291, 360], "18126924": [291, 360], "79999995": [292, 301, 304, 360], "70000005": [292, 304, 360], "hardtanhx": [293, 360], "20141329": [295, 360], "40318608": [295, 360], "48683619": [295, 360], "46328247": [295, 360], "59813893": [295, 360], "43748799": [295, 360], "parametr": [296, 360, 808, 829, 855], "71589994": [298, 302, 360], "14324772": [298, 302, 360], "70648694": [298, 302, 360], "54488957": [298, 302, 360], "10740992": [298, 302, 360], "19514863": [298, 302, 360], "6705687": [299, 360], "52016652": [299, 360], "40560818": [299, 360], "45630932": [299, 360], "2689": [300, 360], "7310": [300, 360], "7615": [300, 360], "2784": [300, 360], "7168": [300, 360], "8708": [300, 360], "4374": [300, 360], "1379": [300, 360], "0089": [300, 360], "59999991": [301, 360], "03597236": [303, 360], "43827677": [303, 360], "80100036": [303, 360], "12954807": [303, 360], "76459098": [303, 360], "20044947": [303, 360], "60000372": [303, 360], "taper": [306, 309, 362], "summat": [306, 362, 634, 746, 792, 793], "leakag": [306, 362], "wors": [306, 362, 845], "y1": [307, 362], "0800": [308, 362], "3979": [308, 362], "9121": [308, 362], "5400": [308, 362], "han": [309, 362], "ith": [310, 362], "00726415": [311, 362], "9999736": [311, 362], "2773e": [312, 362], "0172e": [312, 362], "9294e": [312, 362], "4149": [312, 362], "9138": [312, 362], "5529": [312, 362], "multidimension": [314, 315, 362, 855], "normalise_factor": [317, 318, 362], "parafac2": [318, 362], "tr": [319, 362], "context": [319, 362, 561, 621, 804, 805, 806, 810, 814, 815, 816], "38268346": [327, 362], "38268352": [327, 362], "8563191": [327, 362], "14943568": [327, 362], "paddlepaddl": [329, 330, 365, 805], "cn": [329, 330, 365], "zh": [329, 330, 365], "amax_cn": [329, 365], "sentinel": [329, 330, 365, 634, 747, 749], "amin_cn": [330, 365], "position": [339, 365], "triangl": [343, 365], "999999e": [344, 365], "65999985": [346, 365], "52000046": [346, 365], "1500001": [346, 365, 534, 621], "11259177": [347, 365], "3574118": [347, 365], "20097363": [347, 365], "suppli": [351, 365, 371, 473, 792, 809, 811, 829], "217234": [352, 365], "hurwitz": [355, 365], "custom_grad_func": [357, 367], "bind": [357, 367, 804, 824, 854, 855], "upstream": [357, 367, 805, 806, 808, 819, 824], "primal": [358, 359, 367], "jacobian": [358, 359, 367, 607, 622, 840, 855], "cotang": [359, 367], "stanh": 360, "ndenumer": 362, "ndindex": 362, "random_cp": 362, "random_parafac2": 362, "random_tr": 362, "random_tt": 362, "random_tuck": 362, "bind_custom_gradient_funct": [367, 824], "jvp": 367, "vjp": 367, "area_interpol": 368, "01823380e": [368, 389, 399], "15385818e": [368, 389, 399], "36371466e": [368, 389, 399], "38763905e": [368, 389, 399], "60722279e": [368, 389, 399], "80319249e": [368, 389, 399], "05617893e": [368, 389, 399], "21500000e": [368, 389, 399], "24000015e": [368, 389, 399], "90734863e": [368, 389, 399], "10000420e": [368, 389, 399], "15899994e": [368, 389, 399], "24000053e": [368, 389, 399], "81469727e": [368, 389, 399], "09999847e": [368, 389, 399], "4135742": [368, 389, 399], "6779785": [368, 389, 399], "3770599": [368, 389, 399], "8719864": [368, 389, 399], "72109985": [368, 389, 399], "52869415": [368, 389, 399], "79182434": [368, 389, 399], "72489166": [368, 389, 399], "container_n": [368, 389, 399], "container_typ": [368, 389, 399, 621], "container_norm": [368, 389, 399], "1580677": [368, 389], "89422607": [368, 389], "86190414": [368, 389], "00041008": [368, 389], "75149155": [368, 389], "97056389": [368, 389], "87819386": [368, 389], "89381361": [368, 389], "50000000e": [368, 389, 399, 763], "22044605e": [368, 389, 399], "ed": [368, 391, 392, 393], "rest": [368, 371, 391, 392, 393, 459, 805, 811, 813, 829, 839, 857], "5d": [368, 393, 779], "emb": [368, 394], "51285338": [368, 394], "87183261": [368, 394], "2308116": [368, 394], "02733949e": [368, 395], "00j": [368, 395], "49660576e": [368, 395], "68178638e": [368, 395], "01j": [368, 395, 400], "98912367e": [368, 395], "21802426e": [368, 395, 400], "04549134e": [368, 395, 400], "82842712e": [368, 395, 400], "86902654e": [368, 395, 400], "25501143e": [368, 395, 400], "32978028e": [368, 395, 400], "52068201e": [368, 395, 400], "71158374e": [368, 395, 400], "generate_einsum_equ": 368, "get_interpolate_kernel": 368, "27279224e": [368, 399], "44232273e": [368, 399], "70464332e": [368, 399], "73454881e": [368, 399], "00902849e": [368, 399], "10039906e": [368, 399], "07022366e": [368, 399], "69506073": [368, 399], "93914604": [368, 399], "88008881": [368, 399], "18951607": [368, 399], "57439613": [368, 399], "15318303e": [368, 400], "15148591e": [368, 400], "19j": [368, 400], "25000000e": [368, 400], "35378602e": [368, 400], "02j": [368, 400], "65404249e": [368, 400], "17611649e": [368, 400], "24320230e": [368, 400], "79344813e": [368, 400], "22374531e": [368, 400], "45929364e": [368, 400], "14208718e": [368, 400], "07177031e": [368, 400], "indexerror": [368, 401, 412, 626, 689, 794, 818], "interp": [368, 832], "xp": [368, 402, 808], "fp": [368, 402], "nd": [368, 403], "tf_bicub": [368, 403, 832], "nearest_interpol": 368, "window_shap": [368, 409], "pool_typ": [368, 409], "irfft": [368, 411], "silent": [368, 411], "discard": [368, 411, 813], "639999": [368, 411], "516063j": [368, 411], "3999999": [368, 411], "3999996": [368, 411], "99038106j": [368, 412], "33012702": [368, 412], "23205081j": [368, 412], "33012702j": [368, 412], "superdiagon": [369, 419, 624, 656], "subdiagon": [369, 419, 624, 656], "eigendecomposit": [369, 421, 624, 658, 659], "qlq\u1d40": [369, 421, 624, 658, 659], "tridiagon": [369, 422], "38196602": [369, 422], "61803389": [369, 422], "35048741": [369, 422], "56710052": [369, 422], "06693714": [369, 422], "74234426": [369, 422], "56155282": [369, 422], "56155276": [369, 422], "82842714": [369, 422], "82842731": [369, 422, 624, 659], "necessarili": [369, 423, 809, 812], "generalis": [369, 424], "skip_matrix": [369, 427, 429], "khatri_rao_product": [369, 427], "kronecker_product": [369, 429], "n_column": [369, 429], "nnmf": [369, 430], "hoi": [369, 435, 441], "solve_triangular": 369, "unit_diagon": [369, 436], "solut": [369, 436, 624, 673, 763, 799, 802, 804, 805, 806, 812, 814, 819, 827, 829, 832, 853, 857], "determinist": [369, 437], "borrow": [369, 437, 807], "extmath": [369, 437], "ivan": [369, 438], "oseledet": [369, 438], "scientif": [369, 438, 855], "2295": [369, 438], "2317": [369, 438], "2011": [369, 438], "convention": [370, 443, 858], "issu": [370, 443, 778, 800, 801, 802, 803, 805, 808, 810, 811, 813, 814, 815, 816, 818, 819, 826, 829, 830, 832, 834, 838, 840, 846, 848], "explicit": [370, 371, 443, 481, 805, 812, 814, 824, 825, 826, 834, 840, 855], "555969": [370, 443], "223876": [370, 443], "111938": [370, 443], "42649534": [370, 443], "68651628": [370, 443], "51119184": [370, 443], "59967244": [370, 443], "mae": [370, 444], "91097307": [370, 446], "3467": [370, 447], "0133": [370, 447], "0250": [370, 447], "0056": [370, 447], "0025": [370, 447], "0675": [370, 447], "hing": [370, 448], "6987": [370, 448], "1606": [370, 448], "3711": [370, 448], "4032": [370, 448], "6931": [370, 448], "whilst": [371, 451, 452, 453, 839, 842, 855], "ary3": [371, 453], "check_scalar": 371, "force_integ": [371, 455], "force_posit": [371, 455], "mod": [371, 456, 808], "tall": [371, 462], "appear": [371, 464, 465, 601, 621, 805, 806, 808, 826, 832, 848], "horizot": [371, 469], "shortcut": [371, 473, 805], "linear_ramp": [371, 473], "reflect": [371, 473, 806, 809, 825, 829], "ramp": [371, 473], "mirror": [371, 473, 804, 855], "padding_func": [371, 473], "iaxis_pad_width": [371, 473], "iaxi": [371, 473], "unalt": [371, 473], "put": [371, 478, 799, 804, 829, 840, 861], "mul": [371, 478, 825, 836], "conceptu": [371, 481, 851, 856], "concern": [371, 481, 806, 807, 812, 814, 816, 825, 832, 833, 861], "regard": [371, 481, 803, 812, 826, 827, 832, 845], "mutat": [371, 481], "elimin": [371, 486, 805], "consecut": [371, 486], "batch_mean": [374, 489, 491], "batch_var": [374, 489, 491], "running_vari": [374, 489, 491], "local_response_norm": 374, "neighbour": [374, 494], "42857143": [374, 495], "5714286": [374, 495], "multivari": [375, 498], "bayesian": [375, 498], "supposedli": [378, 502], "indirect": [378, 503], "secondari": [378, 503], "is_ivy_sparse_arrai": 379, "is_native_sparse_arrai": 379, "native_sparse_arrai": 379, "coo_indic": [379, 506], "crow_indic": [379, 506], "col_indic": [379, 506], "ccol_indic": [379, 506], "row_indic": [379, 506], "dense_shap": [379, 506], "native_sparse_array_to_indices_values_and_shap": 379, "nativesparsearrai": 379, "sparsearrai": 379, "linalg": [380, 510, 624, 672, 673, 804, 825, 827], "aw": [380, 510, 845], "48447205": [380, 510], "c0": [380, 513], "ck": [380, 513], "c2": [380, 513], "nearest_jax": [380, 520], "trace_on_next_step": [524, 621, 783, 838], "recalcul": [527, 621], "my_sum": [527, 621], "val1": [527, 621], "val2": [527, 621], "cached_sum": [527, 621], "line_eq": [527, 621], "slp": [527, 621], "itc": [527, 621], "cached_line_eq": [527, 621], "0353": [528, 621], "424": [528, 621], "176": [528, 621], "339": [528, 621], "271": [528, 621], "391": [528, 621], "417": [529, 621], "583": [529, 621], "0667": [529, 621], "267": [529, 621], "131": [529, 621], "263": [529, 621], "394": [529, 621, 630, 730], "526": [529, 621], "788": [529, 621], "default_str": [532, 621], "46999979": [533, 621], "66000009": [533, 621], "93000001": [533, 621], "29000092": [533, 621], "33999991": [533, 621], "6400001": [533, 621], "96000004": [533, 621], "36000013": [533, 621], "51999998": [533, 621], "67000008": [533, 621], "suppos": [533, 621, 814, 829], "960": [533, 621], "3600": [533, 621], "h1": [533, 621], "w1": [533, 621], "40499985": [534, 621], "61000061": [534, 621], "max_depth": [545, 621], "seen_set": [545, 621], "local_set": [545, 621], "referr": [545, 621], "redund": [545, 621, 799, 814, 818, 826, 848], "example_funct": [545, 621], "ref_id_1": [545, 621], "ref_id_2": [545, 621], "ref_id_3": [545, 621], "ivyexcept": [550, 582, 621, 794, 815, 818, 823, 825, 826, 830], "allow_dupl": [560, 621], "fork": [561, 621, 800, 804, 808, 813, 819], "forkserv": [561, 621], "spawn": [561, 621], "mp_default": [561, 621], "defaultcontext": [561, 621], "0x7f4e3193e520": [561, 621], "mp_fork": [561, 621], "forkcontext": [561, 621], "0x7f4e3193e580": [561, 621], "mp_spawn": [561, 621], "spawncontext": [561, 621], "0x7f4e3193e5e0": [561, 621], "mp_forkserv": [561, 621], "forkservercontext": [561, 621], "0x7f4e3193e640": [561, 621], "garbag": [563, 621], "collector": [563, 621], "get_all_arrays_in_memori": [563, 621], "exception_trace_mod": [567, 590, 621, 831], "lenient": [568, 591, 621], "inplace_mod": [568, 591, 621], "break": [568, 621, 799, 810, 814, 821, 830, 840], "infus": [569, 621], "nestable_mod": [572, 594, 621, 831], "precise_mod": [573, 595, 621, 831], "shape_array_mod": [575, 597, 621, 831], "show_func_wrapper_trace_mod": [576, 598, 621, 831], "tmp_dr": [577, 621], "tmp_dir": [577, 599, 621, 831], "my_tmp": [577, 621], "49999999999975": [579, 621], "5015015015010504": [579, 621], "000444502911705e": [579, 621], "9999999999995j": [579, 621], "00000262": [580, 621], "15605032": [580, 621], "01208451j": [580, 621], "00048": [580, 621], "1296": [580, 621], "00864": [580, 621], "isn": [582, 621, 806, 823, 825, 837, 840, 857], "100000023841858": [584, 621], "200000047683716": [584, 621], "299999952316284": [584, 621], "400000095367432": [584, 621], "599999904632568": [584, 621], "hemant": [588, 621], "unset_shape_array_mod": [589, 621], "set_exception_trace_mod": [590, 621, 818], "set_min_bas": [592, 621], "set_min_denomin": [593, 621], "set_nestable_mod": [594, 621], "set_precise_mod": [595, 621], "set_queue_timeout": [596, 621], "set_shape_array_mod": [597, 621], "set_show_func_wrapper_trace_mod": [598, 621, 818], "set_tmp_dir": [599, 621], "my_dir": [599, 621], "451": [600, 621], "in_ax": [601, 621], "out_ax": [601, 621], "thereof": [601, 621], "summaris": [601, 621], "99999998": [602, 622], "19999998": [602, 622], "00000001": [602, 622], "00300001": [602, 622], "00800001": [602, 622], "0125": [602, 622], "17294501": [602, 622], "15770318": [602, 622], "20863818": [602, 622], "90000075": [603, 622], "90000164": [603, 622], "9000032": [603, 622], "50000012e": [603, 622], "92558754": [603, 622], "92558694": [603, 622], "92558682": [603, 622], "92558861": [603, 622], "60000025e": [603, 622], "01024": [603, 622], "retain_grad": [604, 622], "func_ret": [604, 622, 824], "666666": [604, 622], "333332": [604, 622], "66666675": [604, 612, 622], "argnum": [605, 622], "933": [605, 607, 622], "jac_fn": [607, 622], "639": [608, 622], "361": [608, 622], "52565837": [609, 622], "8418861": [609, 622], "68377209": [609, 622], "value_grad": [612, 622], "42333412": [612, 622], "5333333": [612, 622], "93333334": [612, 622], "43333334": [612, 622], "0666666": [612, 622], "softsign": 613, "718281828459045": 614, "euler": 614, "141592653589793": 614, "cmp_i": 615, "cmp_isnot": 615, "for_loop": 615, "if_els": 615, "try_except": 615, "to_dlpack": 616, "as_ivy_dtyp": [617, 826], "as_native_dtyp": 617, "check_float": 617, "closest_valid_dtyp": 617, "default_dtyp": [617, 814, 822], "dtype_bit": 617, "function_supported_dtyp": [617, 814, 829], "function_unsupported_dtyp": [617, 814], "infer_default_dtyp": 617, "invalid_dtyp": [617, 814], "is_hashable_dtyp": 617, "is_native_dtyp": 617, "promote_typ": [617, 814], "promote_types_of_input": [617, 814, 825], "type_promote_arrai": [617, 814], "unset_default_complex_dtyp": 617, "unset_default_float_dtyp": 617, "unset_default_int_dtyp": 617, "unset_default_uint_dtyp": 617, "valid_dtyp": 617, "defaultcomplexdtyp": 617, "defaultdtyp": 617, "defaultfloatdtyp": 617, "defaultintdtyp": 617, "defaultuintdtyp": 617, "as_ivy_dev": [618, 836], "clear_cached_mem_on_dev": 618, "dev_util": [618, 815], "function_supported_devic": 618, "function_unsupported_devic": 618, "get_all_ivy_arrays_on_dev": [618, 815], "handle_soft_device_vari": [618, 815], "num_cpu_cor": [618, 815], "num_gpu": [618, 815, 829], "num_ivy_arrays_on_dev": 618, "percent_used_mem_on_dev": 618, "print_all_ivy_arrays_on_dev": 618, "set_split_factor": [618, 818], "split_func_cal": 618, "total_mem_on_dev": [618, 815], "tpu_is_avail": 618, "unset_default_devic": [618, 815], "unset_soft_device_mod": [618, 815], "used_mem_on_dev": 618, "defaultdevic": [618, 815], "profil": 618, "save_dir": 618, "arg_info": 621, "arg_nam": 621, "cache_fn": [621, 822], "current_backend_str": [621, 829, 834, 836], "function_supported_devices_and_dtyp": 621, "function_unsupported_devices_and_dtyp": 621, "get_item": [621, 825], "get_referrers_recurs": 621, "inplace_arrays_support": 621, "inplace_variables_support": 621, "is_ivy_nested_arrai": 621, "isscalar": 621, "match_kwarg": 621, "num_arrays_in_memori": 621, "print_all_arrays_in_memori": 621, "set_item": 621, "to_ivy_shap": 621, "to_native_shap": 621, "try_else_non": 621, "unset_array_mod": [621, 831], "unset_exception_trace_mod": 621, "unset_inplace_mod": 621, "unset_min_bas": 621, "unset_min_denomin": 621, "unset_nestable_mod": 621, "unset_precise_mod": 621, "unset_queue_timeout": 621, "unset_show_func_wrapper_trace_mod": 621, "unset_tmp_dir": 621, "vmap": [621, 840, 855], "arraymod": 621, "precisemod": [621, 814], "jac": 622, "value_and_grad": [622, 824], "neural": [623, 775, 779, 799, 849, 851, 853, 854, 855, 859, 861, 862], "feature_group_count": [623, 636, 643, 644], "oiw": [623, 636, 637, 643], "oihw": [623, 636, 639, 643], "oidhw": [623, 636, 641, 643], "dhwio": [623, 636, 637, 641, 643], "conv_general_dil": [623, 826], "conv_general_transpos": 623, "depthwis": [623, 645, 765, 779], "overfit": [623, 646], "overal": [623, 646, 793, 812, 814, 815, 817, 839, 848, 851, 853, 854, 855], "1428566": [623, 646], "49000001": [623, 646], "55599999": [623, 646], "21000004": [623, 646], "incom": [623, 647], "666": [623, 624, 647, 665], "4269": [623, 647], "911": [623, 647, 818], "157": [623, 647], "753": [623, 647], "545": [623, 630, 647, 728], "547": [623, 647, 815], "124": [623, 647], "963": [623, 647], "98495483": [623, 647], "0293808": [623, 647], "0159359": [623, 647], "74752808": [623, 647], "20942307": [623, 647], "3205719": [623, 647], "long": [623, 648, 805, 806, 813, 814, 816, 818, 819, 826, 834, 855], "lstm": [623, 648, 779, 834, 855], "batch_first": [623, 649], "multi": [623, 624, 649, 654, 765, 779, 816, 833, 840, 851, 853, 855, 859], "paper": [623, 649, 799, 846], "vaswani": [623, 649], "al": [623, 649], "num_attention_head": [623, 649], "key_dim": [623, 649, 779], "value_dim": [623, 649, 779], "measur": [623, 649, 779], "attention_weight": [623, 649], "unbatch": [623, 649], "nm": 623, "box": [623, 650, 651, 805], "iou_threshold": [623, 650], "max_output_s": [623, 650], "score_threshold": [623, 650], "roi_align": 623, "spatial_scal": [623, 651], "sampling_ratio": [623, 651], "23333359": [623, 652], "03946018": [623, 652], "0280633": [623, 652], "29981947": [623, 652], "29981089": [623, 652], "06345534": [623, 652], "9634552": [623, 652], "19336844": [623, 652], "09336829": [623, 652], "axisa": [624, 654], "axisb": [624, 654], "axisc": [624, 654], "293": [624, 655], "46997": [624, 655], "explicitli": [624, 659, 660, 676, 760, 779, 780, 781, 802, 808, 809, 810, 812, 814, 817, 818, 819, 822, 823, 824, 825, 827, 829, 834, 840, 849, 855], "17157288": [624, 659], "9238795": [624, 659], "78930789": [624, 659], "59803128": [624, 659], "19127655": [624, 659], "31213903": [624, 659], "63418275": [624, 659], "84632206": [624, 659], "70548367": [624, 659], "70223427": [624, 659], "09570674": [624, 659], "63116378": [624, 659], "56109613": [624, 659], "53554028": [624, 659], "32237405": [624, 659], "43822157": [624, 659], "83906901": [624, 659], "50766778": [624, 659], "71475857": [624, 659], "48103389": [624, 659], "3676433": [624, 659], "68466955": [624, 659], "62933773": [624, 659], "77917379": [624, 659], "14264561": [624, 659], "61036086": [624, 659], "45033181e": [624, 660], "02829754e": [624, 660], "54220343e": [624, 660], "12647155e": [624, 660], "38447177e": [624, 660], "56155300e": [624, 660], "26794919": [624, 660], "7320509": [624, 660], "0012": [624, 662], "00342": [624, 662], "000565": [624, 662], "0104": [624, 662], "000981": [624, 662], "00282": [624, 662], "000766": [624, 662], "0322": [624, 662], "00237": [624, 662], "000151": [624, 662], "00101": [624, 662], "00019": [624, 662], "0214": [624, 662], "00171": [624, 662], "0107": [624, 662], "0167": [624, 662], "0472": [624, 662], "0536": [624, 662], "0177": [624, 662], "000429": [624, 662], "00762": [624, 662], "lu_factor": 624, "pivot": [624, 663], "lu": [624, 663], "frobeniu": [624, 665], "nuclear": [624, 665], "induc": [624, 665], "ranl": [624, 665], "47722558": [624, 665], "776": [624, 665], "6000004": [624, 665], "118": [624, 666], "moor": [624, 670], "penros": [624, 670], "31622776": [624, 671], "94868332": [624, 671], "1622777": [624, 671], "42718887": [624, 671], "deteremin": [624, 672], "logsabsdet": [624, 672], "subject": [624, 672], "ordin": [624, 673], "b2": [624, 673], "usvh": [624, 674], "cetera": [624, 674], "driver": [624, 675, 840], "cusolv": [624, 675], "gesvd": [624, 675], "gesvdj": [624, 675], "gesvda": [624, 675], "86217213": [624, 675], "31816804": [624, 675], "615": [624, 675], "ss": [624, 675], "25994301": [624, 675], "16403675": [624, 675], "61529762": [624, 675], "51231241": [624, 675], "39777088": [624, 675], "15413129": [624, 675], "1029852": [624, 675], "01383495": [624, 675], "86647356": [624, 675], "7786541": [624, 675], "55970621": [624, 675], "16857576": [624, 675], "86412698": [624, 675], "37566757": [624, 675], "88477993": [624, 675], "95925522": [624, 675], "6444726": [624, 675], "54687881": [624, 675], "16134834": [624, 675], "35037804": [624, 675], "31025076": [624, 675], "35769391": [624, 675], "transposit": [624, 676], "success": [624, 634, 678, 750, 752, 805, 813, 845], "0x": [624, 679], "Such": [624, 679, 822, 829], "progress": [624, 679, 805, 806, 839], "alexandr": [624, 679], "theophil": [624, 679], "dot_product": [624, 680], "9000001": [624, 681], "64158917": [624, 681], "skew": [624, 682], "6666193": [625, 683], "67164493e": [625, 683], "05471958e": [625, 683], "32684899e": [625, 683], "30496836e": [625, 683], "05393649": [625, 683], "49992943": [625, 683], "83330965": [625, 683], "35667494": [625, 685], "79329094": [625, 685], "512926": [625, 685], "outsid": [626, 686, 697, 814, 815, 822, 836, 860], "honor": [626, 693], "beyond": [626, 694, 817, 826, 861], "famili": [626, 697], "intxx": [626, 697], "floatxx": [626, 697], "rep": [626, 699], "fomaml_step": 627, "inner_cost_fn": [627, 702, 703, 704], "outer_cost_fn": [627, 702, 703], "inner_grad_step": [627, 702, 703, 704], "inner_learning_r": [627, 702, 703, 704], "inner_optimization_step": [627, 702, 703, 704], "inner_batch_fn": [627, 702, 703], "outer_batch_fn": [627, 702, 703], "average_across_step": [627, 702, 703], "inner_v": [627, 702, 703], "keep_inner_v": [627, 702, 703], "outer_v": [627, 702, 703], "keep_outer_v": [627, 702, 703], "return_inner_v": [627, 702, 703, 704], "num_task": [627, 702, 703, 704], "maml": [627, 702, 703], "0x7f76951f2e60": [627, 702, 703, 704], "maml_step": 627, "vanilla": [627, 703, 838, 855], "_variabl": [627, 703, 704], "sub_batch": [627, 703], "40069818": [627, 703], "13723135": [627, 703], "reptile_step": 627, "cost_fn": [627, 704], "reptil": [627, 704], "batch_in": [627, 704], "4485182": [627, 704], "139": [627, 704], "9569855": [627, 704], "9880483": [627, 704], "01766968": [627, 704], "02197957": [627, 704], "02197981": [627, 704], "all_nested_indic": 628, "include_nest": [628, 705], "_index": [628, 705, 716], "_base": [628, 705, 715, 716, 825], "themselv": [628, 705, 804, 812, 814, 815, 817, 822, 826, 838, 852, 861], "863": [628, 705, 815], "672": [628, 705], "482": [628, 705], "674": [628, 705], "341": [628, 705], "copy_nest": 628, "to_mut": [628, 706, 717], "deepli": [628, 706, 840, 855], "copied_nest": [628, 706], "1337": [628, 706, 717], "duplicate_array_index_chain": 628, "index_nest": [628, 822], "insert_into_nest_at_index": 628, "insert_into_nest_at_indic": 628, "onto": [628, 711, 717, 843, 844, 855], "special_squar": [628, 711], "6666666666666667": [628, 711], "special_pow": [628, 711], "linear_model": [628, 711], "map_nest_at_index": 628, "_result": [628, 712, 722], "hh": [628, 712, 717], "map_nest_at_indic": 628, "ub": [628, 713], "tb": [628, 713], "multi_index_nest": 628, "nested_ani": 628, "check_nest": [628, 715, 716], "nested_argwher": 628, "stop_after_n_found": [628, 716], "nested_indic": [628, 716], "nested_map": [628, 815, 822], "_tuple_check_fn": [628, 717], "_list_check_fn": [628, 717], "_dict_check_fn": [628, 717], "wherebi": [628, 717, 804, 852], "ah": [628, 717], "bh": [628, 717], "ch": [628, 717], "dh": [628, 717, 808], "eh": [628, 717], "gh": [628, 717, 805, 819], "ih": [628, 717], "1338": [628, 717], "nested_multi_map": 628, "index_chain": [628, 718], "nest0": [628, 718], "ivy_arrai": [628, 718, 809, 826], "unappli": [628, 718], "prune_empti": 628, "prune_nest_at_index": 628, "prune_nest_at_indic": 628, "set_nest_at_index": 628, "set_nest_at_indic": 628, "xyz": [628, 723], "pqr": [628, 723], "mini": [629, 724, 779, 782], "uniformli": [630, 726, 728], "22346112": [630, 727], "0922": [630, 727], "9213753": [630, 727], "12818667": [630, 727], "799": [630, 727], "469": [630, 727], "287": [630, 727], "0366": [630, 727], "26431865": [630, 728], "475": [630, 728], "878": [630, 728], "861": [630, 728], "929": [630, 728], "789": [630, 728], "519": [630, 728], "0435": [630, 728], "381": [630, 728], "4608004": [630, 728], "8458502": [630, 728], "67270088": [630, 728], "31128597": [630, 728], "zeroel": [631, 734], "guarante": [632, 736, 738, 809, 814, 825, 840, 846], "aggreg": [632, 736, 813], "fourth": [632, 736], "1141": [632, 736], "8101": [632, 736], "9298": [632, 736], "8460": [632, 736], "2119": [632, 736], "3519": [632, 736], "6252": [632, 736], "4033": [632, 736], "7443": [632, 736], "2577": [632, 736], "3707": [632, 736], "0545": [632, 736], "3238": [632, 736], "5944": [632, 736], "0775": [632, 736], "4327": [632, 736], "62519997": [632, 736], "40329999": [632, 736], "59439999": [632, 736], "74430001": [632, 736], "81010002": [632, 736], "84600002": [632, 736], "92979997": [632, 736], "einstein": [634, 746, 792], "117": [634, 746], "intend": [634, 752, 761, 778, 808, 821, 824, 853, 855, 859, 860], "07472222": [634, 753], "00666667": [634, 753], "08966666": [634, 753], "simplicit": [635, 754, 755], "ivy_test": [758, 760, 761, 763, 764, 765, 766, 767, 768, 769, 770, 771, 804, 805, 806, 808, 811, 813, 819, 827], "test_ivi": [758, 760, 761, 763, 764, 765, 766, 767, 768, 769, 770, 771, 804, 805, 806, 811, 813, 819, 827, 829], "assert_all_clos": [758, 827], "ret_np": [758, 760, 827], "ret_from_gt_np": [758, 827], "ground_truth_backend": [758, 760, 761, 770, 771, 802, 819, 827], "mark": [758, 804, 806, 808, 829, 834], "assert_same_typ": 758, "ret_from_target": 758, "ret_from_gt": 758, "backend_to_test": [758, 760, 802, 819, 827], "gt_backend": 758, "with_backend": [758, 788], "assert_same_type_and_shap": 758, "this_key_chain": 758, "check_unsupported_devic": 758, "input_devic": 758, "all_as_kwargs_np": [758, 760], "presenc": [758, 812, 825], "check_unsupported_device_and_dtyp": 758, "input_dtyp": [758, 760, 770, 802, 819, 827, 829], "check_unsupported_dtyp": 758, "test_unsupported_funct": 758, "value_test": 758, "ret_np_flat": 758, "ret_np_from_gt_flat": 758, "specific_tolerance_dict": 758, "ret_from_np_gt_flat": 758, "function_test": 760, "args_to_contain": 760, "array_arg": [760, 822], "args_to_frontend": 760, "frontend_array_fn": 760, "arrays_to_frontend": 760, "as_list": 760, "convtru": 760, "nativeclass": 760, "counter": [760, 838], "create_args_kwarg": 760, "args_np": 760, "arg_np_val": 760, "args_idx": 760, "kwargs_np": 760, "kwarg_np_val": 760, "kwargs_idx": 760, "test_flag": [760, 802, 819, 827, 829], "on_devic": [760, 770, 802, 819, 827], "flatten_and_to_np": 760, "flatten_frontend": 760, "flatten_frontend_fw_to_np": 760, "frontend_ret": [760, 827], "isscalar_func": 760, "is_native_array_func": 760, "to_numpy_func": 760, "flatten_frontend_to_np": 760, "get_frontend_ret": 760, "frontend_fn": 760, "frontend_array_funct": 760, "precision_mod": [760, 770, 771, 819], "test_trac": [760, 770, 771, 802, 808, 819], "get_ret_and_flattened_np_arrai": 760, "gradient_incompatible_funct": 760, "gradient_test": [760, 829], "rtol_": [760, 802, 819], "atol_": [760, 802, 819, 827], "tolerance_dict": 760, "gradient_unsupported_dtyp": 760, "kwargs_to_args_n_kwarg": 760, "num_positional_arg": [760, 770, 771, 802, 819, 827, 829], "port": [760, 846], "test_frontend_funct": [760, 827], "fn_tree": [760, 761, 771, 802, 819, 826, 827, 829], "gt_fn_tree": [760, 771], "test_valu": [760, 827, 829], "frontend_function_flag": [760, 770], "functiontestflag": [760, 770, 802, 819], "with_out": [760, 770, 802, 819, 827, 829], "instance_method": [760, 770, 802, 819, 829], "as_vari": [760, 770, 802, 819, 827, 829], "namespac": [760, 804, 814, 823, 826, 827, 830, 834, 839], "test_frontend_method": [760, 827], "init_input_dtyp": [760, 827], "method_input_dtyp": [760, 827], "init_flag": [760, 827, 829], "method_flag": [760, 770, 827, 829], "init_all_as_kwargs_np": [760, 827], "method_all_as_kwargs_np": [760, 827], "frontend_method_data": [760, 827], "init_as_variable_flag": [760, 771], "dictat": [760, 809, 816, 821, 825], "init_num_positional_arg": [760, 771], "init_native_array_flag": 760, "with_v": 760, "ret_gt": 760, "test_funct": [760, 802, 805, 806, 813, 819, 827, 829], "fn_name": [760, 761, 771, 802, 810, 819, 827, 829], "return_flat_np_arrai": 760, "as_variable_flag": [760, 771, 829], "native_array_flag": [760, 771, 829], "container_flag": [760, 770, 771, 829], "test_function_backend_comput": 760, "test_function_ground_truth_comput": 760, "arg_np_arrai": 760, "arrays_args_indic": 760, "arrays_kwargs_indic": 760, "kwarg_np_arrai": 760, "test_gradient_backend_comput": 760, "test_gradient_ground_truth_comput": 760, "test_method": 760, "method_nam": [760, 769, 771, 827], "init_with_v": 760, "method_with_v": 760, "test_gradi": [760, 770, 771, 802, 819, 829], "method_as_variable_flag": [760, 771], "method_num_positional_arg": [760, 771], "method_native_array_flag": 760, "method_container_flag": [760, 771], "test_method_backend_comput": 760, "test_method_ground_truth_comput": 760, "org_con_data": 760, "args_np_method": 760, "met_arg_np_v": 760, "met_args_idx": 760, "kwargs_np_method": 760, "met_kwarg_np_v": 760, "met_kwargs_idx": 760, "v_np": 760, "traced_if_requir": 760, "wrap_frontend_function_arg": 760, "holder": 761, "current_frontend_config": 761, "0x7f7688705d10": 761, "interruptedtest": 761, "test_interrupt": 761, "baseexcept": 761, "tri": [761, 814], "testdata": 761, "supported_device_dtyp": 761, "is_method": 761, "setup_api_test": 761, "test_data": 761, "setup_frontend_test": 761, "teardown_api_test": 761, "teardown_frontend_test": 761, "hypothesis_help": [763, 764, 765, 766], "array_help": 763, "array_and_broadcastable_shap": 763, "searchstrategi": [763, 764, 765, 766, 770, 771, 829], "array_bool": [763, 829], "min_valu": [763, 764, 765, 766, 802, 819, 827, 829], "max_valu": [763, 764, 765, 766, 827, 829], "ex": [763, 764, 765, 766, 771, 813, 849], "strategi": [763, 764, 765, 766, 770, 771, 804, 827], "array_helpers_dtype_info_help": 763, "kind_dtyp": [763, 765], "array_indices_axi": 763, "array_dtyp": [763, 764, 829], "indices_dtyp": 763, "get_dtyp": [763, 764, 802, 819, 827, 829], "disable_random_axi": 763, "axis_zero": 763, "allow_inf": [763, 766, 827, 829], "min_num_dim": [763, 765, 827, 829], "max_num_dim": [763, 765, 827, 829], "min_dim_s": [763, 765, 827, 829], "max_dim_s": [763, 765, 827], "first_dimension_onli": 763, "indices_same_dim": 763, "valid_bound": 763, "hypothesi": [763, 765, 771, 804, 806, 808, 813, 823], "65536": 763, "44758124e": [763, 829], "array_indices_put_along_axi": 763, "values_dtyp": 763, "array_valu": [763, 829], "abs_smallest_v": [763, 765, 766], "allow_nan": [763, 766, 829], "allow_subnorm": [763, 766, 829], "exclude_min": [763, 766, 829], "exclude_max": [763, 766], "large_abs_safety_factor": [763, 765, 766, 802, 819, 827, 829], "small_abs_safety_factor": [763, 765, 766, 802, 819, 827], "safety_factor_scal": [763, 765, 766, 827, 829], "subnorm": [763, 766], "safeti": [763, 765, 766, 855], "0002": [763, 766], "get_shap": [763, 765, 827, 829], "1806": 763, "36912": 763, "6955": 763, "59576": 763, "1025": 763, "arrays_and_ax": 763, "available_dtyp": [763, 764, 802, 819, 827, 829], "allow_non": [763, 765, 827, 829], "return_dtyp": 763, "force_int_axi": 763, "26e": 763, "10e": 763, "24322108": 763, "26446279e": 763, "96046448e": 763, "008": 763, "17549435e": 763, "038": 763, "06541027e": 763, "13725760e": 763, "07143888": 763, "arrays_for_pool": 763, "min_dim": 763, "max_dim": 763, "min_sid": 763, "max_sid": 763, "explicit_or_str_pad": 763, "only_explicit_pad": 763, "return_dil": 763, "mixed_fn_compo": [763, 764, 765, 766, 829], "return_data_format": 763, "cond_data_gen_help": 763, "create_concatenable_arrays_dtyp": 763, "min_num_arrai": 763, "max_num_arrai": 763, "concat_dim": 763, "common_shap": [763, 829], "stackabl": 763, "given_common_shap": 763, "create_nested_input": 763, "leaf_valu": 763, "dtype_and_valu": [763, 802, 819, 827, 829], "num_arrai": [763, 764, 827, 829], "shared_dtyp": [763, 764, 827], "ret_shap": 763, "array_api_dtyp": [763, 764], "shape_kei": 763, "37915": 763, "6322": 763, "26765": 763, "12413": 763, "26986": 763, "34665": 763, "000e": 763, "711e": 763, "100e": 763, "955e": [763, 829], "40817": 763, "56193": 763, "29200": 763, "5851": 763, "9746": 763, "9604645e": 763, "103": 763, "41795": 763, "1170789994": 763, "44251": 763, "44209": 763, "433075925": 763, "24791": 763, "24691": 763, "24892": 763, "16711": 763, "972": 763, "15357": 763, "72057594037927936": 763, "dtype_array_queri": 763, "allow_mask": 763, "allow_neg_step": 763, "dtype_array_query_v": 763, "dtype_values_axi": [763, 829], "min_axi": 763, "max_axi": 763, "valid_axi": 763, "allow_neg_ax": 763, "min_axes_s": 763, "max_axes_s": 763, "force_tuple_axi": 763, "29788": 763, "62222885e": 763, "68281172e": 763, "257j": 763, "40129846e": 763, "90000000e": 763, "63426649e": 763, "91931887e": 763, "29488e": 763, "14361019e": 763, "12445": 763, "einsum_help": 763, "get_first_solve_batch_matrix": 763, "choose_adjoint": 763, "get_second_solve_batch_matrix": 763, "get_first_solve_matrix": 763, "allow_simplifi": 763, "choose_sid": 763, "xa": 763, "get_second_solve_matrix": 763, "list_of_s": 763, "sampled_from": [763, 827, 829], "min_siz": [763, 765, 771, 829], "max_siz": [763, 765, 771, 829], "size_bound": [763, 829], "999999999999999": 763, "9394938006792373": 763, "mutually_broadcastable_shap": 763, "num_shap": 763, "base_shap": 763, "dtype_help": 764, "univers": [764, 826, 844], "cast_filt": 764, "cast_filter_help": 764, "current_backend": [764, 788, 804, 810, 818, 822, 827, 830, 834], "get_castable_dtyp": 764, "castabl": 764, "prune_funct": 764, "intersect": [764, 813, 829], "signed_integ": 764, "real_and_complex": 764, "float_and_complex": 764, "general_help": 765, "broadcasterror": 765, "apply_safety_factor": 765, "embedding_help": 765, "general_helpers_dtype_info_help": 765, "get_axi": [765, 829], "allow_neg": 765, "sort_valu": 765, "force_tupl": 765, "force_int": 765, "assertionerror": [765, 802, 808, 818, 819, 827, 829], "get_bound": [765, 829], "get_mean_std": 765, "matrix_is_st": 765, "cond_limit": 765, "instabl": [765, 802, 814, 819], "computation": [765, 805], "prone": [765, 814], "thumb": 765, "gradual": 765, "strong": [765, 840, 845, 855], "collinear": 765, "reshape_shap": [765, 829], "two_broadcastable_shap": 765, "x_and_filt": 765, "number_help": 766, "arbitrarili": [766, 837], "safety_factor": 766, "backend_proc": 767, "input_queu": 767, "output_queu": 767, "frontend_proc": 767, "pipeline_help": 768, "backendhandl": 768, "update_backend": [768, 827], "backendhandlermod": 768, "enum": 768, "setbackend": 768, "withbackend": 768, "withbackendcontext": 768, "get_frontend_config": 768, "frontendmethoddata": 769, "ivy_init_modul": 769, "framework_init_modul": 769, "init_nam": 769, "test_parameter_flag": 770, "dynamicflag": [770, 771], "frontendfunctiontestflag": [770, 819], "with_copi": 770, "generate_frontend_arrai": [770, 771, 819], "testflag": 770, "apply_flag": 770, "args_to_iter": 770, "frontendinittestflag": 770, "frontendmethodtestflag": 770, "initmethodtestflag": 770, "methodtestflag": 770, "build_flag": 770, "frontend_init_flag": 770, "frontend_method_flag": 770, "function_flag": 770, "init_method_flag": 770, "testing_help": 771, "handle_frontend_method": [771, 827, 829], "class_tre": [771, 827], "init_tre": [771, 827], "init_native_arrai": 771, "_as_varaible_strategi": 771, "method_native_arrai": 771, "test_inplac": [771, 829], "_given_kwarg": 771, "test_compil": 771, "handle_frontend_test": [771, 827, 829], "alias": [771, 804, 826, 827], "number_positional_arg": [771, 827], "test_with_out": [771, 827, 829], "test_with_copi": 771, "handle_method": [771, 829], "method_tre": [771, 827, 829], "_gradient_strategi": 771, "handle_test": [771, 802, 819, 829], "test_instance_method": [771, 829], "num_positional_args_help": 771, "num_positional_args_method": 771, "geglu": 775, "leakyrelu": 775, "logsoftmax": 775, "from_flax_modul": 776, "native_modul": 776, "params_fx": 776, "rng_seed": 776, "constructor_arg": 776, "constructor_kwarg": 776, "instance_arg": 776, "instance_kwarg": 776, "flax": [776, 839, 840, 846, 855], "from_haiku_modul": 776, "params_hk": 776, "from_paddle_modul": 776, "from_torch_modul": 776, "dedic": [776, 821, 832, 836, 838], "to_keras_modul": 776, "native_module_class": 776, "modulehelp": [777, 781], "create_vari": [778, 838], "var_shap": [778, 838], "fan_out": [778, 838], "fan_in": [778, 838], "rectangular": 778, "firstlayersiren": 778, "siren": 778, "glorotuniform": [778, 779, 838], "glorot": 778, "xavier": 778, "neuron": 778, "w_1x_1": 778, "w_2x_2": 778, "w_nx_n": 778, "w_i": 778, "vanish": 778, "explod": [778, 843, 844], "kaimingnorm": 778, "fan_mod": [778, 838], "kaim": 778, "he": 778, "negative_slop": 778, "fan": 778, "propog": 778, "fan_sum": [778, 838], "Ones": 778, "randomnorm": 778, "stddev": 778, "w0": 778, "wlim": 778, "predefin": 778, "fan_avg": 778, "adaptiveavgpool1d": 779, "avgpool1d": 779, "implicit": [779, 812, 817, 826, 829, 834, 855], "avgpool2d": 779, "avgpool3d": 779, "e501": 779, "filter_s": 779, "weight_initi": [779, 838], "bias_initi": [779, 838], "0x7f7694dd9f00": 779, "0x7f7694dd9ea0": 779, "conv1dtranspos": 779, "0x7f7694dd9e40": 779, "0x7f7694dd9de0": 779, "filter_shap": 779, "0x7f7694dd9d80": 779, "0x7f7694dd9d20": 779, "0x7f7694dd9cc0": 779, "0x7f7694dd9c60": 779, "0x7f7694dd9b40": 779, "0x7f7694dd9ae0": 779, "conv3dtranspos": 779, "0x7f7694dd9a80": 779, "0x7f7694dd9a20": 779, "depthwiseconv2d": 779, "num_channel": 779, "0x7f7694dd9c00": 779, "0x7f7694dd9ba0": 779, "bernoul": 779, "num_embed": 779, "embedding_dim": 779, "padding_idx": 779, "lookup": 779, "num_embeddingss": 779, "renorm": 779, "insensit": 779, "num_lay": 779, "return_sequ": 779, "return_st": 779, "0x7f7694dd99c0": 779, "get_initial_st": 779, "0x7f7694dd9fc0": 779, "0x7f7694dd9f60": 779, "maxpool1d": 779, "maxpool3d": 779, "multiheadattent": 779, "embed_dim": 779, "head_dim": 779, "dropout_r": 779, "use_proj_bia": 779, "attention_ax": 779, "build_mod": [779, 780, 781], "on_init": [779, 781], "parallel": [779, 811, 855, 859, 860], "binarycrossentropyloss": 780, "store_var": [780, 781], "with_partial_v": [780, 781], "logpoissonloss": 780, "modulemeta": 781, "temporarili": [781, 802, 808, 819], "from_cal": 781, "module_dict": 781, "register_buff": 781, "register_paramet": 781, "weights_path": 781, "randomness_factor": 781, "with_edge_label": 781, "with_arg_label": 781, "with_output_label": 781, "output_connected_onli": 781, "highlight_subgraph": 781, "trace_kwarg": 781, "_unified_ivy_graph": 781, "_call": 781, "num_featur": 782, "trail": 782, "layernorm": 782, "normalized_shap": 782, "elementwise_affin": 782, "set_stat": [783, 838], "adamw": 783, "weight_decai": 783, "init_on_first_step": 783, "fallback_to_non_trac": 783, "ignore_miss": 783, "privat": [783, 826, 829], "_step": [783, 838], "stochast": [783, 855], "sub_modul": 784, "check_al": 785, "messag": [785, 794, 798, 805, 806, 813, 816, 818, 820, 826, 834, 836, 845], "check_all_or_any_fn": 785, "check_ani": 785, "check_dev_correct_format": 785, "check_dimens": 785, "check_elem_in_list": [785, 822, 825, 826], "elem": 785, "check_equ": [785, 826], "check_exist": 785, "check_fals": 785, "check_gather_input_valid": 785, "check_gather_nd_input_valid": 785, "check_great": 785, "allow_equ": [785, 818], "check_inplace_sizes_valid": [785, 825], "check_isinst": 785, "allowed_typ": 785, "check_kernel_padding_s": 785, "padding_s": 785, "check_less": [785, 818], "check_one_way_broadcast": 785, "check_same_dtyp": 785, "check_shapes_broadcast": 785, "check_tru": 785, "check_unsorted_segment_valid_param": 785, "ast_help": 787, "importtransform": 787, "nodetransform": 787, "impersonate_import": 787, "tree": [787, 814], "local_ivy_id": 787, "visit_import": 787, "visit_importfrom": 787, "ivyload": 787, "loader": [787, 837, 840], "exec_modul": 787, "ivypathfind": 787, "metapathfind": 787, "find_spec": 787, "fullnam": 787, "contextmanag": 788, "choose_random_backend": 788, "global_backend": 788, "dynamic_backend_convert": 788, "backend_stack": [788, 834], "prevent_access_loc": 788, "previous_backend": [788, 810], "unset": [788, 810, 834], "Or": [788, 799, 801, 825, 837], "set_backend_to_specific_vers": 788, "set_jax_backend": 788, "set_mxnet_backend": 788, "mx": 788, "set_numpy_backend": 788, "set_paddle_backend": 788, "set_tensorflow_backend": 788, "set_torch_backend": 788, "unset_backend": [788, 810], "sub_backend_handl": 789, "clear_sub_backend": 789, "find_available_sub_backend": 789, "sub_backends_loc": 789, "fn_name_from_version_specific_fn_nam": 789, "fn_name_from_version_specific_fn_name_sub_backend": 789, "sub_backend_vers": 789, "backend_vers": [789, 802, 814, 819], "set_sub_backend": 789, "sub_backend_str": 789, "set_sub_backend_to_specific_vers": 789, "sub_backend": 789, "unset_sub_backend": 789, "check_for_binari": 790, "cleanup_and_fetch_binari": [790, 805], "clean": [790, 806, 830, 834, 835, 837], "dynamic_import": 791, "import_modul": [791, 834], "einsum_pars": 792, "convert_interleaved_input": 792, "interleav": 792, "convert_subscript": 792, "old_sub": 792, "symbol_map": 792, "subscript": [792, 793], "oe": 792, "ellipsi": [792, 793], "find_output_shap": 792, "find_output_str": 792, "canon": 792, "gen_unused_symbol": 792, "abd": [792, 793], "get_symbol": 792, "letter": 792, "resort": 792, "unicod": 792, "charact": [792, 826, 845], "chr": 792, "surrog": 792, "\u0155": 792, "20000": 792, "\u4eac": 792, "has_valid_einsum_chars_onli": 792, "einsum_str": 792, "abaz": 792, "\u00f6ver": 792, "is_valid_einsum_char": 792, "\u01f5": 792, "legalise_einsum_expr": 792, "reproduct": [792, 793], "pars": [792, 793, 811, 816, 840], "intak": 792, "contract_path": 792, "parse_einsum_input": [792, 793], "einsum_eqn": 792, "legalis": 792, "legalise_einsum_eqn": 792, "za": [792, 793], "xza": [792, 793], "xz": [792, 793], "possibly_convert_to_numpi": 792, "myshap": 792, "__main__": 792, "0x10f850710": 792, "einsum_path_help": 793, "can_dot": 793, "idx_remov": 793, "bla": 793, "benefici": 793, "movement": 793, "costli": 793, "gemm": 793, "ijj": 793, "ddot": 793, "ikj": 793, "compute_size_by_dict": 793, "idx_dict": 793, "abbc": 793, "find_contract": 793, "input_set": 793, "output_set": 793, "lh": 793, "rh": 793, "new_result": 793, "idx_contract": 793, "iset": 793, "oset": 793, "bdc": 793, "flop_count": 793, "num_term": 793, "size_dictionari": 793, "flop": 793, "greedy_path": 793, "memory_limit": 793, "exhaust": [793, 825, 829, 852, 861], "indices_remov": 793, "priorit": [793, 804, 828, 832], "hadamard": 793, "cubic": 793, "greedi": 793, "idx_siz": 793, "optimal_path": 793, "siev": 793, "input_str": 793, "output_str": 793, "parse_possible_contract": 793, "path_cost": 793, "naive_cost": 793, "propos": [793, 806, 826, 832, 855], "intermediari": [793, 810], "unoptim": 793, "new_input_set": 793, "update_other_result": 793, "provision": 793, "_parse_possible_contract": 793, "mod_result": 793, "inplaceupdateexcept": 794, "include_backend": [794, 818], "ivyattributeerror": [794, 818], "attributeerror": [794, 818, 836], "ivybroadcastshapeerror": [794, 818], "ivydeviceerror": 794, "ivydtypepromotionerror": [794, 818], "ivyindexerror": [794, 818], "ivyinvalidbackendexcept": 794, "ivynotimplementedexcept": [794, 818], "notimplementederror": 794, "ivyvalueerror": [794, 818], "handle_except": [794, 821, 823], "add_array_spec": 795, "fn_array_spec": 795, "set_logging_mod": 796, "debug": [796, 805, 806, 812, 813, 824, 829, 832, 837, 855], "unset_logging_mod": 796, "print_stat": 797, "viz": 797, "snakeviz": 797, "bonu": 797, "cprofil": 797, "cprint": [798, 834], "grant": 799, "autotun": [799, 859], "grow": [799, 855], "peopl": [799, 803, 805, 806, 807, 855, 857], "wip": [799, 848], "docker": [799, 802, 803, 819], "pull": [799, 800, 804, 805, 808, 816, 820, 830, 832, 840, 841, 846], "sweat_smil": 799, "setting_up": 799, "awai": [799, 853, 855], "jax_fn": 799, "jax_x": 799, "torch_x": 799, "torch_fn": 799, "motiv": [799, 836, 845], "contextu": 799, "problem": [799, 804, 806, 808, 809, 815, 826, 836, 845, 851, 857, 861], "explos": [799, 843, 845], "adher": [799, 808, 814, 817, 821, 832, 834, 839, 844, 845, 851, 852, 861], "focus": [799, 814, 830, 853, 854, 855, 861, 862], "orient": 799, "contributor": [799, 800, 802, 804, 805, 806, 819, 826, 833, 855], "shorter": [799, 836], "ensp": 799, "customiz": [799, 811], "deepmind_perceiver_io": 799, "sm_framework": 799, "segmentation_model": 799, "sm": 799, "torch_sm": 799, "metric": [799, 840], "iou_scor": 799, "rax": 799, "torch_rax": 799, "poly1_softmax_loss": 799, "madmom": 799, "madmon": 799, "torch_madmom": 799, "freq": 799, "audio": 799, "hz2midi": 799, "torch_loss": 799, "maxpooling1d": 799, "pool_siz": 799, "tf_kornia": 799, "tf_rax": 799, "tf_madmom": 799, "tf_loss": 799, "_forward_classifi": [799, 849], "forward_classifi": [799, 849], "hk_eff_encod": 799, "dummy_x": 799, "jax_sm": 799, "jax_madmom": 799, "jax_loss": 799, "np_kornia": 799, "np_sm": 799, "np_rax": 799, "np_loss": 799, "yourself": [799, 804, 806, 820, 829, 832], "favourit": [799, 805], "pipelin": [799, 801, 807, 808, 809, 827, 830, 839, 842, 844, 849, 855, 856, 861], "hyperparam": 799, "idea": [799, 804, 828, 830, 835, 846, 854], "instantli": [799, 849], "essenti": [799, 804, 810, 812, 815, 816, 822, 825, 826, 827, 844, 845, 861], "mainli": [799, 804, 807, 824, 826, 829, 835, 837, 842, 855], "handler": [799, 833, 835, 839, 842], "scene": [799, 807, 833, 835, 843, 844, 855], "facilit": 799, "mse_loss": 799, "jax_ms": 799, "tf_mse": 799, "np_mse": 799, "torch_ms": 799, "someth": [799, 802, 806, 810, 819, 820, 830, 837, 838, 840, 841, 861], "favorit": 799, "flexibl": [799, 812, 814, 821, 824, 830, 832, 855], "everyon": [799, 800, 804, 805, 806, 840, 846], "plan": [799, 841], "interoper": [799, 845, 852, 853, 855, 858], "believ": [799, 806, 845], "feedback": [799, 804, 813], "appreci": 799, "amaz": 799, "journei": [799, 800], "ambiti": 799, "season": 799, "perfect": 799, "ask": [799, 804, 805, 816, 834, 836, 840, 841, 846], "fellow": 799, "twitter": 799, "sneak": 799, "peek": 799, "stai": [799, 813], "proper": [799, 804, 826, 849], "credit": 799, "accompani": 799, "lenton2021ivi": 799, "inter": 799, "author": [799, 804, 806, 853, 857], "lenton": 799, "daniel": 799, "pardo": 799, "fabio": 799, "falck": 799, "fabian": 799, "jame": 799, "stephen": 799, "clark": 799, "ronald": 799, "journal": 799, "arxiv": 799, "preprint": 799, "2102": 799, "02886": 799, "year": [799, 808, 840, 844, 846, 855], "strongli": [800, 805, 826, 861, 862], "engag": [800, 806, 845], "skill": [800, 857], "veteran": 800, "effort": [800, 804, 840, 845, 851, 855, 861], "board": [800, 811], "stage": [800, 806, 807, 808, 811, 829, 845, 855], "excit": [800, 807, 845], "Be": [801, 811], "awar": [801, 811, 818, 820], "linux": [801, 805, 806, 811, 858, 860], "regularli": [801, 811, 813], "internet": [801, 811], "codespac": [801, 811, 819], "make_doc": 801, "sh": [801, 805, 806, 808, 813], "host": [801, 813, 840, 845, 860], "pwd": 801, "ssh": [801, 813], "make_docs_without_dock": [801, 811], "assist": [802, 819], "runtimeerror": [802, 819], "logaddexp2_cpu": [802, 819], "falsifi": [802, 808, 819, 829], "test_logaddexp2": [802, 819], "backend_fw": [802, 819, 827], "dtype_and_x": [802, 819, 827, 829], "reproduce_failur": [802, 808, 819, 823, 829], "axicy2bkaamobaar2waaaacvaai": [802, 819], "decoartor": [802, 819], "with_unsupported_dtyp": [802, 814, 819, 826], "25830078125": [802, 819], "258544921875": [802, 819], "test_acosh": [802, 819], "axicy2baabyqwqgiaabdaai": [802, 819], "quit": [802, 806, 809, 816, 817, 819, 822, 823, 829, 832, 855, 861], "41421356": [802, 819], "41421356e": [802, 819], "34078079e": [802, 819], "154": [802, 819], "test_ab": [802, 805, 819, 829], "000j": [802, 819], "154j": [802, 819], "axicy2zkyaiibibgziaaxqhexsaab7juqaaamteazq": [802, 819], "experiment": [802, 806, 814, 826, 830, 834, 855], "thread": [802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 837, 855], "pycharm": [802, 827, 829], "few": [803, 804, 806, 812, 814, 815, 821, 822, 824, 825, 827, 829, 832, 834, 835, 836, 837, 838, 846, 855, 857], "climb": 803, "steep": 803, "curv": 803, "realpython": 803, "pyn": 803, "exchang": [803, 845, 851, 853], "pilot": [803, 841], "stuck": [803, 804], "spell": 803, "sound": [803, 813, 833], "frequent": [804, 806, 810, 855], "outlin": [804, 805, 806, 807, 812, 814, 817, 822, 825, 826, 829], "broad": [804, 857], "individu": [804, 806, 808, 810, 814, 822, 826, 855, 858, 861, 862], "clearli": [804, 806, 816, 827, 829, 845, 859], "qualiti": [804, 806], "lie": 804, "craft": [804, 828, 829], "fault": [804, 816, 855], "situat": [804, 806, 813, 839], "opportun": 804, "tackl": [804, 826], "challeng": [804, 810, 861], "categoris": [804, 808, 826], "encourag": [804, 820, 840, 845], "comfort": [804, 805, 818], "valuabl": [804, 806], "linkag": 804, "confid": 804, "submit": [804, 820], "merg": [804, 806, 808, 813, 826, 855], "meet": [804, 826], "scipi": [804, 845, 857, 862], "mindspor": 804, "simpler": [804, 806, 820, 848, 856, 862], "member": [804, 806, 826, 841, 845], "comment": [804, 805, 806, 808, 814, 820, 826, 828, 832], "pr": [804, 806, 808, 820, 826, 827, 829], "composition": 804, "feasibl": [804, 813, 845, 848], "pend": 804, "helpfulli": [804, 832, 853], "problemat": [804, 805], "unimpl": 804, "issue_link": 804, "alias_nam": 804, "notic": [804, 809, 813, 819, 820, 829, 832, 848], "push": [804, 806, 808, 827, 829, 861], "liner": 804, "meanwhil": [804, 813], "reselect": 804, "faithfulli": 804, "creation_routin": [804, 827], "indexing_routin": 804, "ma": 804, "manipulation_routin": 804, "mathematical_funct": [804, 826], "sorting_searching_count": 804, "ufunc": [804, 826], "matrix_and_vector_product": 804, "matrix_eigenvalu": 804, "norms_and_other_numb": 804, "solving_equations_and_inverting_matric": 804, "gleam": 804, "uncom": 804, "test_numpy_inn": 804, "test_frontend": [804, 813, 819, 827], "unsur": [804, 829], "statu": [804, 813, 820, 846], "refrain": 804, "checkbox": [804, 805], "aforement": 804, "parent": [804, 813, 836], "arraywithelementwis": [804, 809, 836], "containerwithmanipul": 804, "thorough": [804, 817, 821, 829], "add_reformatting_checklist_": 804, "category_nam": [804, 814, 815, 817, 821, 822], "autom": [804, 813, 820, 829, 842, 857], "bot": [804, 820], "markdown": [804, 811], "patient": [804, 805], "elabor": 804, "struggl": 804, "assigne": 804, "status": 804, "central": [804, 820, 832, 845, 861], "analyz": [804, 842], "relevant_submodul": 804, "roadmap": [804, 813], "soon": [804, 806, 813, 814, 840, 848], "deem": [804, 826], "subtask": 804, "clearer": [804, 818, 827, 837], "backend_nam": [804, 810, 814, 815, 817, 821, 822, 823], "sometim": [804, 805, 806, 808, 814, 822, 826, 829, 832], "rare": [804, 815, 840, 860], "button": [804, 805, 806, 819], "centr": 804, "predetermin": 804, "superset": [804, 807, 822, 825, 840], "reserv": 804, "happi": [805, 819, 840, 846], "your_usernam": [805, 819], "your_fold": [805, 819], "enter": [805, 806, 809, 814, 815, 819, 821, 823], "sync": [805, 808, 819], "remot": [805, 808, 819, 820], "nutshel": [805, 821], "hook": [805, 820, 828], "lint": [805, 807], "succe": [805, 848], "whatev": [805, 812, 840], "elig": 805, "student": 805, "licens": [805, 858], "remind": 805, "expir": 805, "won": [805, 806, 812, 814, 839, 841, 845, 846, 848, 849, 850], "profession": 805, "trial": 805, "jetbrain": 805, "month": [805, 844], "bui": [805, 861], "paid": 805, "rapid": [805, 844, 845, 855], "pace": 805, "person": [805, 806], "abil": [805, 832, 835, 840, 855], "perhap": [805, 836, 837, 838, 840, 861], "conda": [805, 845, 857], "ivy_dev": [805, 806], "icon": [805, 806, 819], "panel": 805, "vscode": [805, 819], "palett": 805, "ctrl": [805, 806], "mac": [805, 806], "intel": [805, 845, 853, 860], "m1": 805, "optional_apple_silicon_1": 805, "optional_apple_silicon_2": 805, "array_api_test": [805, 806, 808, 819], "test_array_api": [805, 806, 808, 819, 829], "suit": [805, 807, 808, 813, 819, 828, 829, 837, 845, 855, 861], "cmd": 805, "bat": [805, 806], "virtualenv": 805, "tick": [805, 806, 813], "nz2": 805, "openssl": 805, "libssl1": 805, "1_1": 805, "1f": 805, "1ubuntu2": 805, "19_amd64": 805, "deb": 805, "dpkg": 805, "mitig": [805, 861], "desktop": [805, 819], "powershel": 805, "admin": 805, "deploy": [805, 849, 854, 857, 858, 861, 862], "menu": [805, 819], "introspect": 805, "dialog": 805, "persist": 805, "earlier": [805, 806, 814, 830], "virtualis": 805, "bio": [805, 845], "dropdown": [805, 813], "dockerfil": 805, "ca": 805, "certif": 805, "gnupg": 805, "lsb": 805, "keyr": 805, "fssl": 805, "gpg": 805, "dearmor": 805, "echo": [805, 813, 841], "arch": 805, "lsb_releas": 805, "null": [805, 819], "ce": 805, "cli": 805, "containerd": 805, "systemctl": 805, "softwar": [805, 806, 844, 845, 853, 858, 859, 860], "press": [805, 806, 837], "4a": 805, "socket": 805, "rwx": 805, "sock": 805, "pid": 805, "editor": 805, "pytest": [805, 806, 808, 813, 819, 823, 829], "keyboard": 805, "screenshot": 805, "pop": [805, 819, 845], "test_elementwis": 805, "bar": [805, 819], "shell": [805, 806, 808, 813], "setup_test": 805, "run_ivy_core_test": 805, "run_ivy_nn_test": 805, "run_ivy_stateful_test": 805, "run_test": [805, 813], "test_depend": 805, "test_ivy_cor": 805, "test_ivy_nn": 805, "test_ivy_st": 805, "unix": 805, "test_": [805, 827], "test_cor": [805, 806, 827], "offici": [805, 814, 834], "wish": [805, 826], "ivy_nn": 805, "ivy_st": 805, "header": [805, 806, 828], "arrow": 805, "test_stat": 805, "test_submodule_nam": 805, "test_function_nam": 805, "debugg": 805, "studio": [805, 819, 829], "especi": [805, 810, 820, 844, 855], "afterward": [805, 837], "background": [805, 811, 819, 855, 857], "overlap": [805, 813, 819, 830, 832, 856], "test_file_path": [805, 819], "test_fn_nam": [805, 819], "engin": [805, 855, 857, 858], "devcontain": 805, "comma": 805, "postcreatecommand": 805, "post_create_command": 805, "poststartcommand": 805, "safe": [805, 826], "containerworkspacefold": 805, "reopen": 805, "test_fle_path": 805, "slash": 805, "isol": [805, 806, 856, 861], "container": 805, "intens": 805, "headach": 805, "arm": [805, 806], "vm": [805, 813], "azur": 805, "cloud": [805, 813, 857], "theme": [805, 811], "ipad": 805, "browser": [805, 811], "quota": 805, "requisit": 805, "pane": [805, 806, 813], "dockerfilegpu": 805, "ivv": 805, "multiv": 805, "multivers": [805, 830], "dockerfilemultivers": 805, "dockerhub": 805, "upto": [805, 806], "minut": [805, 813], "launch": 805, "quickli": [805, 806, 813, 837, 838, 844, 846, 855, 862], "kindli": [805, 828], "guidelin": 805, "colour": 805, "chanc": 805, "troubleshoot": 805, "ever": 805, "flask": [805, 819], "toolbar": [805, 806, 819], "_array_modul": [805, 808, 819], "refresh": [805, 819], "pytestarg": [805, 819], "unittesten": [805, 819], "pytesten": [805, 819], "autotestdiscoveronsaveen": [805, 819], "conftest": 805, "serv": [805, 806, 809, 812, 821, 822, 826, 827, 829, 832, 833, 842, 853], "aren": [805, 814], "record": [805, 840, 856], "available_config": 805, "cp310": 805, "x86": [805, 860], "newer": [805, 829], "_compil": 805, "meantim": 805, "suffici": [805, 816, 826, 829], "bear": [805, 809, 812, 814, 826], "tendenc": 806, "land": 806, "unrel": [806, 845], "fly": [806, 855], "internship": 806, "suspect": 806, "iii": 806, "issue_numb": 806, "12345": 806, "rememb": 806, "respond": 806, "dai": [806, 820], "freed": 806, "obvious": [806, 813], "hypothet": 806, "frustrat": 806, "delai": [806, 848], "busi": 806, "inact": 806, "unfairli": 806, "investig": 806, "name_of_your_branch": 806, "date": [806, 808], "complic": [806, 827, 834], "merge_with_upstream": 806, "abort": 806, "tediou": [806, 816, 832], "stash": [806, 820], "reinstat": 806, "uncommit": 806, "unstag": [806, 820], "untrack": 806, "atlassian": 806, "wrote": 806, "piec": [806, 809, 822, 823, 834, 848, 851, 853], "blame": 806, "eg": 806, "week": [806, 846], "grep": 806, "commit_id": 806, "handi": 806, "histori": 806, "toggl": 806, "highlight": [806, 813, 816, 826, 828], "approv": 806, "someon": [806, 840], "hash": [806, 837], "cancel": 806, "speedup": 806, "unavail": 806, "tickbox": 806, "span": [806, 853, 861], "intent": [806, 825], "discourag": 806, "adopt": [806, 809, 821, 832, 845, 854, 855, 860], "philosophi": 806, "infrequ": 806, "earli": [806, 855], "wast": [806, 813], "spot": [806, 816, 822], "mistak": 806, "mountain": 806, "advoc": [806, 840], "session": [806, 855], "beauti": 806, "particularli": [806, 837, 840, 848, 853], "care": [806, 815, 826, 832, 839, 845], "undo": 806, "stress": 806, "nifti": 806, "reassur": 806, "local_path_to_ivi": 806, "subfold": [806, 827, 829, 830], "dep": 806, "fresh": 806, "arsen": 806, "exec": 806, "ivy_contain": 806, "test_imag": 806, "test_random_crop": 806, "test_creation_funct": 806, "test_arang": 806, "cursor": 806, "alt": 806, "blog": 806, "breakpoint": 806, "gutter": 806, "caret": 806, "f8": 806, "f9": 806, "Into": 806, "f7": 806, "smart": 806, "fragment": [806, 851, 853, 857], "wherein": [806, 822, 829], "failur": [806, 813, 827, 829], "weed": [807, 833], "tour": 807, "formatt": [807, 820], "conjunct": 808, "establish": [808, 857], "popular": [808, 855], "sens": [808, 814, 816, 826, 828, 836], "unconnect": 808, "initialis": [808, 826, 829], "strang": [808, 836], "thoroughli": 808, "test_linalg": [808, 827], "test_set_funct": 808, "test_signatur": 808, "excess": [808, 810, 816], "array_modul": 808, "vv": 808, "test_manipulation_funct": 808, "test_concat": [808, 829], "nb": 808, "liber": 808, "______________________": 808, "test_remaind": 808, "_______________________": 808, "test_operators_and_elementwise_funct": 808, "1264": 808, "1277": 808, "binary_param_assert_against_refimpl": 808, "ctx": 808, "620": 808, "binary_assert_against_refimpl": 808, "324": 808, "scalar_o": 808, "17304064": 808, "binaryparamcontext": 808, "axic42baaowcnp": 808, "rumwmabaear0": 808, "make_binary_param": 808, "numeric_dtyp": 808, "left_strat": 808, "left_sym": 808, "right_strat": 808, "right_sym": 808, "right_is_scalar": 808, "binary_param_assert_dtyp": 808, "binary_param_assert_shap": 808, "recreat": 808, "unexpectedli": 808, "discrep": [808, 827], "test_asarray_arrai": 808, "test_floor_divid": 808, "health": 808, "test_iop": 808, "__imod__": 808, "isequ": 808, "test_matrix_norm": 808, "alter": 808, "tweak": 808, "array_api_methods_to_test": 808, "test_special_cas": 808, "__ipow__": 808, "is_integ": 808, "easier": [808, 809, 810, 814, 827, 830, 842, 855, 857], "revisit": [808, 821], "_data": [809, 825, 826, 836], "organiz": [809, 812, 826], "underpin": [809, 812, 834], "programmat": [809, 812, 856], "backup": [809, 811, 812], "accident": [809, 812, 826], "absent": [809, 812], "auto": [809, 811, 812, 820, 837], "__mul__": [809, 812, 816, 821, 832, 836], "throw": [809, 814, 815, 818, 819, 836, 855], "imposs": 809, "inputs_to_native_arrai": [809, 822, 823], "outputs_to_ivy_arrai": [809, 814, 815, 821, 822, 823], "secondli": [809, 814], "__ivy_array_function__": 809, "inspir": 809, "__torch_function__": 809, "myarrai": 809, "handled_funct": 809, "notimpl": 809, "issubclass": 809, "four": [809, 814, 816, 821, 822, 829, 832, 837], "enough": [809, 813, 814, 815, 829, 836, 837, 838], "ivy_funct": 809, "my_ab": 809, "my_arrai": 809, "implicit_backend": [810, 834], "__dict__": [810, 825, 834], "ivy_original_dict": [810, 834], "fallback": 810, "live": [810, 811, 814, 845, 846, 851, 853], "scope": [810, 856, 860], "dlpack": 810, "set_dynamic_backend": 810, "unset_dynamic_backend": 810, "dynamic_backend_a": 810, "set_": 810, "unset_": 810, "backend_handl": 810, "requires_grad": 810, "memory_format": 810, "preserve_format": 810, "weren": 810, "vast": [810, 814, 855], "minor": [810, 832, 840], "fn_name_v_1p12_and_abov": 810, "fn_name_v_1p01_to_1p1": 810, "heavili": [811, 823, 840], "characterist": 811, "conf": 811, "cleanup": 811, "readm": [811, 840], "maxdepth": 811, "caption": 811, "related_work": 811, "deep_div": 811, "faq": 811, "glossari": 811, "autosummari": 811, "top_functional_toc": 811, "restructuredtext": 811, "discov": [811, 814], "ivy_toctree_caption_map": 811, "stub": 811, "unfortun": [811, 820], "linker": 811, "foo": 811, "discussion_channel_map": 811, "1000043690254946374": 811, "1000043749088436315": 811, "forum": [811, 841], "seri": [811, 814, 826, 829, 855, 857], "discussion_paragraph": 811, "discord_link": 811, "channel_link": 811, "gg": 811, "zvqdvbznqj": 811, "799879767196958751": 811, "channel_id": 811, "autoskippablemethod": 811, "skippable_method_attribut": 811, "__qualname__": 811, "autodoc": 811, "__doc__": 811, "autoivydata": 811, "mutual": [812, 822], "containerwithelementwis": 812, "__repr__": 812, "__getattr__": [812, 848], "__setattr__": [812, 848], "__contains__": 812, "__getstate__": 812, "__setstate__": 812, "unpickl": 812, "num_dim": [812, 839], "restrict": [812, 813, 826, 834, 848, 852], "enforc": [812, 836], "extern": [812, 821, 826, 829, 830], "lefthand": 812, "righthand": 812, "handle_nest": [812, 821, 822, 823, 834], "absenc": [812, 821, 855], "implicitli": [812, 824, 829, 834], "log_pr": [812, 822, 825], "intuit": [812, 829, 837, 838, 851], "chronolog": 812, "concurr": [812, 813, 822, 855], "despit": [812, 814, 815, 827, 834, 845, 852, 855], "__list__": 812, "whatsoev": [812, 822, 842, 861], "children": 812, "shallowest": 812, "deepest": 812, "rollback": 813, "incorpor": [813, 827, 837, 855], "techniqu": 813, "triplet": 813, "test_torch": [813, 827], "test_tensor": [813, 827], "test_torch_instance_arctan_": 813, "12500": 813, "daili": 813, "huge": [813, 837, 843, 845, 855, 861], "shoot": 813, "impact": [813, 829, 838, 857], "_reduce_loss": [813, 822, 825], "test_nn": 813, "test_loss": 813, "test_binary_cross_entropy_with_logit": 813, "test_cross_entropi": 813, "test_binary_cross_entropi": 813, "test_sparse_cross_entropi": 813, "test_loss_funct": 813, "test_torch_binary_cross_entropi": 813, "test_torch_cross_entropi": 813, "binary_cross_entropy_with_logit": 813, "torch_binary_cross_entropi": 813, "torch_cross_entropi": 813, "magic": 813, "readthedoc": 813, "pedagog": 813, "f_1": 813, "t_1": 813, "t_3": 813, "t_7": 813, "t_": 813, "f_m": 813, "cyclic": 813, "intellig": [813, 829, 857], "tests_fil": 813, "file_nam": [813, 829, 830], "tests_lin": 813, "correspondingli": 813, "tests_to_run": 813, "determine_tests_lin": 813, "mongodb": 813, "databas": [813, 829], "mechan": [813, 840], "secret": 813, "db": 813, "ssh_deploy_kei": 813, "suffic": [813, 823, 829], "massiv": 813, "yml": 813, "felicit": 813, "clone_map": 813, "deploy_kei": 813, "user_email": 813, "user_nam": 813, "target_branch": 813, "github_serv": 813, "deploy_key_fil": 813, "ssh_known_hosts_fil": 813, "known_host": 813, "keyscan": 813, "git_ssh_command": 813, "userknownhostsfil": 813, "email": [813, 845], "methodologi": 813, "master1": 813, "restructur": 813, "_map": 813, "t_2": 813, "t_n": 813, "index_map": 813, "test_map": 813, "snowbal": 813, "recalibr": 813, "workflow_dispatch": 813, "schedul": [813, 840, 855, 862], "cron": 813, "saturdai": 813, "night": 813, "pm": 813, "gut": 813, "lesser": [813, 818], "lol": 813, "hour": [813, 846], "cater": [813, 828], "master2": 813, "master32": 813, "synchron": 813, "runner2": 813, "corrupt": 813, "decoupl": [813, 838], "150": 813, "cycl": [813, 829], "yellow": 813, "queu": 813, "redirect": 813, "book": 813, "onrend": 813, "jo": 813, "ran": 813, "badg": 813, "clickabl": 813, "all_dtyp": 814, "all_numeric_dtyp": 814, "all_int_dtyp": 814, "all_float_dtyp": 814, "replic": [814, 824, 825, 826], "thirdli": 814, "native_float32": 814, "importantli": [814, 836, 839], "arguabl": [814, 815, 826], "jaxarrai": [814, 815, 818, 821, 825, 830, 834], "_handle_0_dim_output": 814, "subtli": [814, 825], "promote_types_frontend_nam": 814, "promote_types_of_frontend_name_input": 814, "frontend_nam": 814, "upcast": 814, "nearli": [814, 821, 823, 855], "downcast": 814, "footprint": 814, "concret": 814, "aris": [814, 820, 840, 845], "utterli": 814, "meant": [814, 816, 825], "twice": 814, "disadvantag": 814, "relax": 814, "f64": 814, "unwant": 814, "primaci": 814, "resembl": 814, "compound": 814, "infer_dtyp": [814, 815, 821, 823], "settabl": [814, 815], "handle_out_argu": [814, 815, 821, 822, 823, 825, 834], "infer_devic": [814, 815, 821, 823], "deleg": [814, 862], "shape_to_tupl": 814, "with_supported_dtyp": 814, "unment": 814, "_cast_for_unary_op": [814, 822, 825], "target_typ": 814, "syntax": [814, 844, 845, 855], "unsupported_dtyp": 814, "supported_dtypes_and_devic": 814, "with_unsupported_device_and_dtyp": 814, "globals_getter_func": 814, "f2": 814, "lack": [814, 825, 855, 862], "mandat": [814, 825, 829, 830, 845], "confus": [814, 818, 825, 832, 842, 846], "inconsist": [814, 818, 824], "is_nan": 814, "supported_dtyp": 814, "anytim": 814, "84530": 814, "unwarr": 814, "risk": [814, 861], "needlessli": 814, "bloat": 814, "undergo": [814, 840], "unsupported_devic": 814, "supported_devic": 814, "downsid": 814, "coverag": [814, 829], "undesir": 814, "accomplish": 814, "upcast_data_typ": 814, "downcast_data_typ": 814, "crosscast_data_typ": 814, "cast_data_typ": 814, "downcast_data_dtyp": 814, "vice": 814, "versa": 814, "till": 814, "crosscast": 814, "exmp1": 814, "watch": [814, 826], "handle_numpy_arrays_in_specific_backend": [814, 821], "cate": 814, "understood": 814, "consumpt": [814, 859], "dual": 815, "categor": [815, 822, 826], "210": 815, "_handle_except": [815, 818], "1013": 815, "_handle_nest": [815, 818], "905": 815, "_handle_out_argu": [815, 818], "441": 815, "_inputs_to_native_arrai": [815, 818], "new_arg": [815, 818], "new_kwarg": [815, 818], "_outputs_to_ivy_arrai": [815, 818], "358": 815, "_handle_array_funct": [815, 818], "_handle_device_shift": 815, "handle_device_shift": [815, 823], "crucial": [815, 824], "device_shifting_dev": 815, "__enter__": 815, "__exit__": 815, "mostli": [815, 825, 829], "soft_devic": 815, "eight": [816, 833], "op_nam": 816, "__r": 816, "unsurprisingli": [816, 844], "recap": [816, 838], "combinatori": 816, "okai": [816, 832, 834], "spec": [816, 817], "my_func": [816, 830], "some_flag": 816, "another_flag": 816, "jointli": 816, "5574077": 816, "1850398": 816, "5463025": 816, "8422884": 816, "91601413": 816, "9647598": 816, "3738229": 816, "1597457": 816, "0963247": 816, "9955841": 816, "3278579": 816, "asid": 816, "increasingli": [816, 848], "14254655": 816, "1578213": 816, "380515": 816, "trivial": [816, 825], "failing_fn_nam": 816, "onlin": [816, 817], "minutest": 816, "contrast": [817, 821, 826, 861], "preview": 817, "incorrectli": [817, 848], "needless": [817, 827], "renam": [817, 826], "judgment": 817, "operator_nam": 817, "succinct": 817, "docst": 817, "native_error": 818, "_combine_messag": 818, "truli": [818, 836], "wrong": [818, 820, 823, 826, 832], "198": 818, "392": 818, "_handle_array_like_without_promot": 818, "805": 818, "432": 818, "349": 818, "other_test": 818, "523": 818, "_handle_numpy_out": 818, "396": [818, 838], "_outputs_to_numpy_arrai": 818, "_inputs_to_ivy_arrays_np": 818, "ivy_arg": 818, "ivy_kwarg": 818, "453": 818, "_from_zero_dim_arrays_to_scalar": 818, "truth_value_test": 818, "visibl": 818, "unwieldi": 818, "squash": 818, "hide": [818, 848], "cleaner": [818, 837], "caught": [818, 820], "rethrow": 818, "_print_traceback_histori": 818, "error_stack": 818, "axiserror": 818, "polici": [818, 823, 829, 831], "moreov": 818, "submoodul": 819, "test_jax_transpos": 819, "manipulaiton": 819, "test_jax": [819, 827], "test_numpi": [819, 827], "test_manipul": [819, 827, 829], "preconditionnotmet": 819, "densetensor": 819, "holder_": 819, "phi": 819, "dense_tensor_impl": 819, "array_and_ax": 819, "aaegbaegaqaaaaaaaaaaaaab": 819, "black": 820, "flake8": 820, "linter": 820, "autoflak": 820, "docformatt": 820, "pydocstyl": 820, "yaml": 820, "patch1687898304": 820, "8072": 820, "3516aed563": 820, "reformat": 820, "akshai": 820, "jain": 820, "gui": 820, "cryptic": 820, "garden": 820, "utc": 820, "didn": 820, "human": 820, "intervent": 820, "typo": 820, "ui": 820, "handle_array_like_without_promot": [821, 823], "to_native_arrays_and_back": [821, 823, 834], "handle_array_funct": [821, 823], "inputs_to_native_shap": [821, 823], "rational": [821, 825, 832], "__div__": [821, 832], "484": 821, "annot": 821, "brittl": 821, "freeli": 821, "inde": [821, 832, 840, 853], "technic": [821, 825, 840, 855, 857], "original_typ": 821, "cumbersom": 821, "hinder": [821, 844], "venn": 822, "diagram": [822, 861], "light": [822, 830, 840, 842, 856, 861], "maximis": 822, "encompass": 822, "partial_mixed_handl": [822, 823, 832], "handle_partial_mixed_funct": [822, 823, 832], "fn_decor": 822, "mixed_backend_wrapp": [822, 825], "to_add": 822, "to_skip": 822, "inputs_to_ivy_arrai": [822, 823], "modif": [822, 855], "briefli": [822, 829, 837], "get_all_arrays_on_dev": 822, "outputs_to_ivy_shap": 823, "outputs_to_native_arrai": 823, "handle_view_index": [823, 825], "handle_view": [823, 825], "handle_rag": 823, "handle_backend_invalid": 823, "handle_nan": 823, "to_native_shapes_and_back": 823, "modern": [824, 844, 845, 860], "inter_func": 824, "custom_grad_fn": 824, "args1": 824, "eas": [824, 855], "program": [825, 852, 853, 855, 858, 859, 862], "speak": 825, "val_n": 825, "base_idx": 825, "_manipulation_stack": 825, "base_flat": 825, "_view_ref": 825, "_update_view": 825, "contigu": 825, "c_contigu": 825, "ascontiguousarrai": 825, "copyto": 825, "_is_vari": 825, "tensor_scatter_nd_upd": 825, "is_vari": 825, "_update_torch_view": 825, "predominantli": [825, 830], "support_native_out": [825, 834], "_scalar_output_to_0d_arrai": 825, "_wrap_fn": 825, "dim0": 825, "dim1": 825, "res_floor": 825, "extent": [825, 826], "to_out_fn": 825, "add_wrapp": 825, "paradigm": [825, 840, 855], "expans": 825, "brief": [825, 829], "weak": 825, "_torch_bas": 825, "_torch_view_ref": 825, "_torch_manipul": 825, "weakli": 825, "adequ": 825, "tf_frontend": 826, "lax": [826, 827, 832, 839, 840], "torch_frontend": [826, 827], "numpy_frontend": 826, "jax_frontend": 826, "to_ivy_arrays_and_back": [826, 827], "fidel": 826, "algebra": [826, 853, 854, 855, 858, 862], "dynamic": 826, "mimic": 826, "arithmetic_oper": 826, "handle_numpy_out": 826, "handle_numpy_dtyp": 826, "handle_numpy_cast": 826, "from_zero_dim_arrays_to_scalar": 826, "_add": 826, "same_kind": 826, "subok": [826, 827, 832], "promote_types_of_numpy_input": 826, "underscor": 826, "unhandl": 826, "trigonometric_funct": 826, "_tan": 826, "check_tensorflow_cast": 826, "raw_op": [826, 827], "map_raw_ops_alia": 826, "output_typ": 826, "kwargs_to_upd": 826, "pointwise_op": 826, "sensibl": 826, "ahead": [826, 830, 855], "reduce_logsumexp": 826, "logsumexp": 826, "trick": 826, "max_input_tensor": 826, "preferred_element_typ": 826, "languag": [826, 834, 842, 844, 846, 853, 856, 858, 859, 860, 861], "offer": [826, 838, 846, 855, 861, 862], "finer": 826, "logicaland": 826, "np_frontend": 826, "_ivy_arrai": 826, "radd": 826, "_init_data": 826, "_process_str_data": 826, "_dtype": [826, 827, 836], "_shape": [826, 836], "govern": 826, "promote_types_of_": 826, "_input": 826, "promote_types_of_torch_input": [826, 827], "handle_numpy_casting_speci": 826, "new_fn": 826, "equiv": 826, "unsaf": 826, "array_type_test": 826, "_isfinit": 826, "organis": 826, "grasp": 826, "youtub": 826, "knowledg": 827, "np_frontend_help": 827, "open_task": 827, "test_lax": 827, "test_oper": 827, "test_jax_tan": 827, "test_mathematical_funct": 827, "test_trigonometric_funct": 827, "dtypes_values_cast": 827, "dtypes_values_casting_dtyp": 827, "arr_func": 827, "get_num_positional_args_ufunc": 827, "test_numpy_tan": 827, "handle_where_and_array_bool": 827, "test_tensorflow": 827, "test_math": 827, "test_tensorflow_tan": 827, "test_pointwise_op": 827, "test_torch_tan": 827, "_fill_valu": 827, "test_glob": 827, "test_jax_ful": 827, "test_from_shape_or_valu": 827, "_input_fill_and_dtyp": 827, "dtype_and_input": 827, "dtype_to_cast": 827, "input_fill_dtyp": 827, "test_numpy_ful": 827, "test_raw_op": 827, "test_tensorflow_fil": 827, "test_creation_op": 827, "with_arrai": 827, "test_torch_ful": 827, "add_nois": 827, "all_clos": 827, "_get_dtype_and_matrix": 827, "test_torch_qr": 827, "frontend_q": 827, "frontend_r": 827, "walkthrough": 827, "comparison_op": 827, "test_comparison_op": 827, "test_torch_great": 827, "all_alias": 827, "test_ndarrai": 827, "test_numpy_instance_add__": 827, "test_tensorflow_instance_add": 827, "1e04": 827, "allow_infin": 827, "test_torch_instance_add": 827, "_arrays_idx_n_dtyp": 827, "surprisingli": 827, "closest_relevant_group": 827, "strive": [827, 829, 832, 840, 857], "tailor": 828, "clariti": [828, 829, 832, 855], "weav": 828, "thrill": 828, "brim": 828, "stand": [828, 829], "testament": 828, "landscap": 828, "forese": 828, "refin": 828, "inquiri": 828, "fixtur": 829, "hit": [829, 834, 848], "eleg": [829, 855], "unexplor": 829, "artifact": 829, "bespok": 829, "_array_or_typ": 829, "rigor": [829, 844], "test_default_int_dtyp": 829, "print_hypothesis_exampl": 829, "custom_strategi": 829, "randomis": 829, "simplist": 829, "intricaci": 829, "glanc": 829, "one_of": 829, "datum": 829, "pipe": 829, "array_or_scal": 829, "len_of_arrai": 829, "test_add": 829, "test_gpu_is_avail": 829, "pretest": 829, "snippet": [829, 849], "criterion": 829, "valid_ax": 829, "hoc": 829, "11228": 829, "268": 829, "wherev": 829, "9622": 829, "28136": 829, "6375": 829, "12720": 829, "21354": 829, "900e": 829, "57384": 829, "25687": 829, "248": 829, "test_devic": 829, "array_shap": 829, "test_lay": 829, "some_sequ": 829, "arrays_valu": 829, "36418": 829, "213": 829, "21716926": 829, "none_or_list_of_float": 829, "get_prob": 829, "103515625e": 829, "099609375": 829, "probabilist": 829, "number_positional_argu": 829, "unreproduc": 829, "x_and_linear": 829, "is_torch_backend": 829, "x_shape": [829, 834], "weight_shap": 829, "bias_shap": 829, "ivy_np": 829, "valid_float_dtyp": 829, "test_demo": 829, "failing_test": 829, "traceback": 829, "shrink": 829, "prescrib": 829, "scratch": 829, "therebi": 829, "test_gelu": 829, "test_fil": 829, "phase": [829, 840, 855], "notabl": [829, 855], "max_exampl": 829, "deadlin": 829, "weird": 829, "systemat": 829, "safeguard": 829, "inabl": 829, "test_result_typ": 829, "9090909090909091": 829, "judgement": 830, "some_namespac": 830, "some_backend": 830, "another_backend": 830, "refactor": 830, "ongo": 830, "check_fill_value_and_dtype_are_compat": 830, "_to_devic": 830, "shouldn": [830, 848], "pin": 830, "unpinn": 830, "culmin": 830, "unsett": 831, "array_significant_figur": 831, "array_decimal_valu": 831, "warning_level": 831, "nan_polici": 831, "stablest": 831, "constantli": [832, 844], "answer": [832, 836, 840], "contradict": 832, "entail": 832, "sacrif": 832, "jacfwd": 832, "jacrev": 832, "banner": 832, "expens": 832, "incredibli": [832, 837, 840, 858], "price": 832, "pai": 832, "intrus": 832, "x_beta": 832, "equip": 832, "simplif": 832, "allevi": 832, "ineffici": [832, 840, 855], "fuse": 832, "hybrid": 832, "workaround": 832, "slip": 832, "radar": 832, "stumbl": 832, "gone": [833, 845], "fulfil": 833, "syntact": [834, 839], "power_seq": 834, "_determine_backend_from_arg": 834, "importlib": 834, "_backend_dict": 834, "x_flat": 834, "wi": 834, "wi_x": 834, "wii_x": 834, "wif_x": 834, "wig_x": 834, "wio_x": 834, "wh": 834, "ht": 834, "ct": 834, "hts_list": 834, "wii_xt": 834, "wif_xt": 834, "wig_xt": 834, "wio_xt": 834, "htm1": 834, "ctm1": 834, "wh_htm1": 834, "whi_htm1": 834, "whf_htm1": 834, "whg_htm1": 834, "who_htm1": 834, "ft": 834, "ot": 834, "reliabl": 834, "scalabl": [834, 844, 860, 861], "sacrific": 834, "hear": 834, "virtu": [834, 852], "pure_ivi": 834, "pure_torch": 834, "unclean": 834, "wx": 834, "temp": 834, "ivy_func": 834, "emphas": 834, "torchscript": [834, 842, 862], "example_input": 834, "static_argnum": [834, 848], "static_argnam": [834, 848], "primit": [835, 840, 853, 855], "upcom": 835, "hierarch": [835, 837, 838, 855], "arraywithactiv": 836, "arraywithcr": 836, "arraywithdatatyp": 836, "arraywithdevic": 836, "arraywithgener": 836, "arraywithgradi": 836, "arraywithimag": 836, "arraywithlay": 836, "arraywithlinearalgebra": 836, "arraywithloss": 836, "arraywithmanipul": 836, "arraywithnorm": 836, "arraywithrandom": 836, "arraywithsearch": 836, "arraywithset": 836, "arraywithsort": 836, "arraywithstatist": 836, "arraywithutil": 836, "_init": 836, "_size": 836, "_devic": 836, "_dev_str": 836, "_pre_repr": 836, "_post_repr": 836, "framework_str": 836, "pypep8nam": 836, "immut": 836, "claim": 836, "_native_wrapp": 836, "genuin": 836, "some_method": 836, "rewritten": 836, "littl": [836, 844, 857], "wonder": [836, 844, 846], "compartment": 836, "newshap": 836, "new_shap": 836, "tidi": 836, "crystal": 836, "ton": 837, "ado": [837, 838], "soup": 837, "walk": [837, 838], "cnt": 837, "3333335": 837, "autocomplet": 837, "midwai": 837, "agent": 837, "total_spe": 837, "total_height": 837, "total_width": 837, "ag": 837, "tot": 837, "total_": 837, "total_h": 837, "cnt0": 837, "cnt1": 837, "diff_0": 837, "diff_1": 837, "config0": 837, "config1": 837, "l0": 837, "decoder__l0": 837, "decoder__l1": 837, "encoder__l0": 837, "encoder__l1": 837, "l0__b": 837, "l0__w": 837, "l1__b": 837, "l1__w": 837, "printabl": 837, "foresight": 837, "untidili": 837, "update_ag": 837, "normalize_img": 837, "img_max": 837, "reduce_max": 837, "img_min": 837, "reduce_min": 837, "img_rang": 837, "agent_posit": 837, "agent_veloc": 837, "agent_cam_front_rgb": 837, "agent_cam_front_depth": 837, "agent_cam_rear_rgb": 837, "agent_cam_rear_depth": 837, "agent_cam_lidar": 837, "camera": 837, "front_rgb": 837, "front_depth": 837, "rear_rgb": 837, "rear_depth": 837, "lidar": 837, "rgb": 837, "rear": 837, "veloc": 837, "cam": 837, "cam_max": 837, "cam_min": 837, "cam_rang": 837, "five": 837, "allud": [837, 845], "perman": 837, "straightforward": 837, "dataload": 837, "_cnt": 837, "img_": 837, "_dataset_s": 837, "_batch_siz": 837, "_count": [837, 838], "__next__": 837, "img_fnam": 837, "loaded_img": 837, "batch_slic": 837, "0145": 837, "addbackward0": 837, "_create_vari": 838, "_input_channel": 838, "_output_channel": 838, "_w_shape": 838, "_b_shape": 838, "_with_bia": 838, "764": 838, "872": 838, "211": 838, "439": 838, "nightmar": 838, "overcom": 838, "v1": 838, "key0": 838, "linear3": 838, "v2": 838, "preced": [838, 845], "_w_init": 838, "_b_init": 838, "misnom": 838, "saw": 838, "_beta1": 838, "_beta2": 838, "_epsilon": 838, "_mw": 838, "_vw": 838, "_first_pass": 838, "_should_trac": 838, "new_v": 838, "_lr": 838, "_inplac": 838, "_stop_gradi": 838, "sparse_funct": 839, "vital": [839, 844], "_linear": 839, "jax_graph": 839, "to_backend": 839, "thinli": 839, "to_haiku_modul": 839, "loss_fn_t": 839, "without_apply_rng": 839, "update_rul": 839, "tree_multimap": 839, "trax": [839, 846], "objax": [839, 846], "matur": [840, 845, 855], "doubt": 840, "grate": 840, "probe": 840, "lock": 840, "gold": 840, "dex": 840, "tricki": [840, 842], "predictor": 840, "tight": 840, "dispatch": [840, 855, 858], "ast": 840, "autodiff": 840, "shine": 840, "merci": 840, "compet": [840, 855], "parallelis": 840, "spmd": 840, "mixtur": 840, "expert": 840, "sophist": 840, "depart": 840, "hundr": 840, "thousand": 840, "broadli": [840, 861], "supplementari": 840, "reusabl": [840, 853, 855], "fanci": [840, 855], "fusion": [840, 859], "lose": 840, "pmap": 840, "eventu": 840, "supplement": 840, "backdoor": 840, "callback": 840, "door": 840, "somewhat": [840, 855], "outsourc": 840, "ivy_root": 841, "pem": 841, "api_kei": 841, "asap": 841, "nail": 842, "scientist": 842, "correl": 842, "collabor": [843, 844, 845], "consortium": [843, 845], "grown": 844, "rapidli": 844, "shareabl": 844, "outdat": 844, "newest": 844, "prototyp": [844, 855], "obsolet": [844, 846], "invent": 844, "simultan": [844, 846], "runner": 844, "principl": [844, 853, 855, 858], "2006": 844, "cloth": 844, "forgiven": 845, "eyebrow": 845, "somehow": 845, "industri": [845, 855, 857], "funni": 845, "comic": 845, "charger": 845, "instant": 845, "contrari": 845, "bumpi": 845, "road": 845, "technologi": [845, 853, 857], "pcie": 845, "motherboard": 845, "raid": 845, "bluetooth": 845, "wireless": 845, "btx": 845, "sata": 845, "tcp": 845, "ip": 845, "smtp": 845, "send": [845, 860], "gmail": 845, "outlook": 845, "innov": 845, "growth": [845, 858], "necess": 845, "2015": [845, 855], "aros": 845, "mission": [845, 857], "ourselv": [845, 861], "quansight": [845, 861], "compani": [845, 851], "apach": [845, 857, 861], "onnx": [845, 853, 861], "cupi": [845, 855, 862], "modin": 845, "spyder": 845, "octoml": [845, 861], "sponsor": 845, "lg": 845, "electron": 845, "shaw": 845, "pursuit": 845, "complianc": 845, "convinc": 845, "celebr": 845, "abund": 846, "streamlin": [846, 858], "awesom": 846, "love": 846, "slew": 846, "inevit": [846, 856], "erron": 846, "poor": 846, "spin": 846, "sake": 846, "wouldn": 846, "frantic": 846, "lucid": 846, "honk": 846, "hasn": 846, "spend": [846, 855], "sonnet": 846, "trainer": [846, 862], "quo": 846, "dopamin": 846, "ignit": 846, "catalyst": 846, "lightn": 846, "fastai": 846, "publicli": [848, 849, 850], "logger": 848, "arg_stateful_idx": 848, "kwarg_stateful_idx": 848, "include_gener": 848, "array_cach": 848, "return_backend_traced_fn": 848, "lazygraph": [848, 849, 850], "sum_j": 848, "traced_fn": 848, "impos": 848, "comp_func": 848, "trade": 848, "bake": 848, "cont": 848, "new_attribut": 848, "resnet50": 848, "breed": 848, "autoimageprocessor": [848, 849], "resnetforimageclassif": [848, 849], "traced_graph": 848, "predicted_label": 848, "debug_mod": 849, "rough": 849, "transformed_with_st": 849, "bigger": 849, "hf": 849, "tf_model": 849, "tf_input": 849, "transpile_kwarg": 850, "transpiled_func": 850, "unified_func": 850, "rwork": 851, "vendor": [851, 857], "complimentari": [851, 861], "acycl": [851, 856], "insert_numb": 852, "insert_t": 852, "scaffold": [853, 861], "heart": 853, "toolchain": [853, 858], "assembli": [853, 860, 861], "idl": 853, "middl": 853, "emit": 853, "gnu": [853, 858], "broader": 853, "heterogen": 853, "aid": 853, "coprocessor": 853, "programm": [853, 860], "gate": 853, "onednn": 853, "sit": [853, 856, 861], "tandem": 853, "possess": 853, "khrono": [854, 860], "appl": 854, "coremltool": 854, "albeit": 854, "promin": 855, "abbrevi": 855, "laboratori": 855, "proprietari": [855, 859, 860], "mathwork": 855, "commerci": 855, "1984": 855, "toolbox": 855, "mupad": 855, "simulink": 855, "graphic": [855, 859, 860], "simul": 855, "million": [855, 858], "worldwid": 855, "scienc": [855, 857], "econom": 855, "2001": 855, "od": 855, "solver": 855, "cython": 855, "friendli": 855, "2002": 855, "lua": 855, "luajit": 855, "idiap": 855, "epfl": 855, "2005": 855, "numarrai": 855, "cpython": 855, "partli": 855, "2007": 855, "forest": 855, "boost": 855, "dbscan": 855, "inbuilt": 855, "esqu": 855, "aesara": 855, "datafram": 855, "2012": 855, "Its": 855, "polymorph": 855, "mpi": 855, "openmp": 855, "glue": 855, "jaot": 855, "nasa": 855, "cern": 855, "climat": 855, "allianc": 855, "influenti": 855, "2014": 855, "scala": 855, "ship": 855, "forgiv": 855, "decemb": 855, "announc": 855, "mainten": 855, "v7": 855, "meaning": 855, "2016": 855, "imper": 855, "amazon": 855, "traction": 855, "cognit": [855, 862], "grade": 855, "dnn": 855, "backpropag": 855, "succumb": 855, "came": 855, "monitor": 855, "practition": [855, 859, 860, 861], "hobbyist": 855, "tremend": 855, "ecosystem": 855, "gear": 855, "batteri": 855, "zygot": 855, "jl": 855, "workload": 855, "daggerflux": 855, "frontier": 855, "hessian": 855, "2018": 855, "lightweight": [855, 862], "shortcom": 855, "barrier": 855, "inexperienc": 855, "underdevelop": 855, "fanat": 855, "ounc": 855, "infanc": 855, "emerg": 855, "nich": 855, "mobil": 855, "lite": 855, "enterpris": 855, "reinvent": [855, 857], "inertia": 855, "creator": [855, 857], "paszk": 855, "hi": 855, "bulk": 855, "haskel": 855, "dataflow": 856, "trace_modul": 856, "scriptfunct": 856, "scriptmodul": 856, "fake": 856, "proxi": 856, "graphmodul": 856, "travi": 857, "oliph": 857, "leader": 857, "cornerston": 857, "numba": 857, "numfocu": 857, "pydata": 857, "confer": 857, "consult": 857, "servic": 857, "expertis": 857, "devop": 857, "mlop": 857, "dashboard": 857, "startup": 857, "mlir": [857, 858, 861], "Their": 857, "held": 857, "privileg": 857, "presum": 857, "llvm": [857, 860], "founder": 857, "tvm": [857, 861], "sustain": 857, "empow": 857, "har": 857, "burden": 857, "benchmark": 857, "precompil": 858, "executor": 858, "julia": [858, 861], "fsf": 858, "gpl": 858, "biggest": [858, 861], "throughput": 859, "gpgpu": 859, "classic": 860, "sycl": 860, "dpc": 860, "processor": 860, "maco": 860, "oneapi": 860, "ia": 860, "aka": 860, "xeon": 860, "gen9": 860, "xe": 860, "arria": 860, "gx": 860, "fpga": 860, "lofti": 861, "ambit": 861, "realm": 861, "bedrock": 861, "flux": 861, "bite": 861, "chew": 861, "eagerpi": 861, "tensorli": 861, "thinc": 861, "neuropod": 861, "fx": 861, "retrain": 861, "closer": 861, "greatli": 861, "modular": 861, "anywher": 861, "theano": 862, "plaidml": 862, "partial_svd": 862, "excel": 862, "subsystem": 862}, "objects": {"ivy.Array": [[215, 0, 1, "", "abs"], [216, 0, 1, "", "acos"], [217, 0, 1, "", "acosh"], [602, 0, 1, "", "adam_step"], [603, 0, 1, "", "adam_update"], [382, 0, 1, "", "adaptive_avg_pool1d"], [383, 0, 1, "", "adaptive_avg_pool2d"], [384, 0, 1, "", "adaptive_max_pool2d"], [218, 0, 1, "", "add"], [416, 0, 1, "", "adjoint"], [754, 0, 1, "", "all"], [522, 0, 1, "", "all_equal"], [328, 0, 1, "", "allclose"], [329, 0, 1, "", "amax"], [330, 0, 1, "", "amin"], [219, 0, 1, "", "angle"], [755, 0, 1, "", "any"], [731, 0, 1, "", "argmax"], [732, 0, 1, "", "argmin"], [740, 0, 1, "", "argsort"], [733, 0, 1, "", "argwhere"], [525, 0, 1, "", "array_equal"], [449, 0, 1, "", "as_strided"], [123, 0, 1, "", "asarray"], [220, 0, 1, "", "asin"], [221, 0, 1, "", "asinh"], [526, 0, 1, "", "assert_supports_inplace"], [450, 0, 1, "", "associative_scan"], [147, 0, 1, "", "astype"], [222, 0, 1, "", "atan"], [223, 0, 1, "", "atan2"], [224, 0, 1, "", "atanh"], [451, 0, 1, "", "atleast_1d"], [452, 0, 1, "", "atleast_2d"], [453, 0, 1, "", "atleast_3d"], [386, 0, 1, "", "avg_pool1d"], [387, 0, 1, "", "avg_pool2d"], [388, 0, 1, "", "avg_pool3d"], [489, 0, 1, "", "batch_norm"], [417, 0, 1, "", "batched_outer"], [496, 0, 1, "", "bernoulli"], [497, 0, 1, "", "beta"], [331, 0, 1, "", "binarizer"], [683, 0, 1, "", "binary_cross_entropy"], [508, 0, 1, "", "bincount"], [225, 0, 1, "", "bitwise_and"], [226, 0, 1, "", "bitwise_invert"], [227, 0, 1, "", "bitwise_left_shift"], [228, 0, 1, "", "bitwise_or"], [229, 0, 1, "", "bitwise_right_shift"], [230, 0, 1, "", "bitwise_xor"], [306, 0, 1, "", "blackman_window"], [148, 0, 1, "", "broadcast_arrays"], [149, 0, 1, "", "broadcast_to"], [150, 0, 1, "", "can_cast"], [231, 0, 1, "", "ceil"], [290, 0, 1, "", "celu"], [653, 0, 1, "", "cholesky"], [686, 0, 1, "", "clip"], [528, 0, 1, "", "clip_matrix_norm"], [529, 0, 1, "", "clip_vector_norm"], [457, 0, 1, "", "column_stack"], [687, 0, 1, "", "concat"], [458, 0, 1, "", "concat_from_sequence"], [418, 0, 1, "", "cond"], [332, 0, 1, "", "conj"], [688, 0, 1, "", "constant_pad"], [637, 0, 1, "", "conv1d"], [638, 0, 1, "", "conv1d_transpose"], [639, 0, 1, "", "conv2d"], [640, 0, 1, "", "conv2d_transpose"], [641, 0, 1, "", "conv3d"], [642, 0, 1, "", "conv3d_transpose"], [124, 0, 1, "", "copy_array"], [333, 0, 1, "", "copysign"], [509, 0, 1, "", "corrcoef"], [232, 0, 1, "", "cos"], [233, 0, 1, "", "cosh"], [334, 0, 1, "", "count_nonzero"], [510, 0, 1, "", "cov"], [654, 0, 1, "", "cross"], [684, 0, 1, "", "cross_entropy"], [511, 0, 1, "", "cummax"], [512, 0, 1, "", "cummin"], [744, 0, 1, "", "cumprod"], [745, 0, 1, "", "cumsum"], [389, 0, 1, "", "dct"], [532, 0, 1, "", "default"], [234, 0, 1, "", "deg2rad"], [645, 0, 1, "", "depthwise_conv2d"], [655, 0, 1, "", "det"], [192, 0, 1, "", "dev"], [390, 0, 1, "", "dft"], [656, 0, 1, "", "diag"], [419, 0, 1, "", "diagflat"], [657, 0, 1, "", "diagonal"], [335, 0, 1, "", "diff"], [336, 0, 1, "", "digamma"], [498, 0, 1, "", "dirichlet"], [235, 0, 1, "", "divide"], [420, 0, 1, "", "dot"], [646, 0, 1, "", "dropout"], [391, 0, 1, "", "dropout1d"], [392, 0, 1, "", "dropout2d"], [393, 0, 1, "", "dropout3d"], [459, 0, 1, "", "dsplit"], [460, 0, 1, "", "dstack"], [158, 0, 1, "", "dtype"], [421, 0, 1, "", "eig"], [659, 0, 1, "", "eigh"], [422, 0, 1, "", "eigh_tridiagonal"], [423, 0, 1, "", "eigvals"], [660, 0, 1, "", "eigvalsh"], [533, 0, 1, "", "einops_rearrange"], [534, 0, 1, "", "einops_reduce"], [535, 0, 1, "", "einops_repeat"], [746, 0, 1, "", "einsum"], [291, 0, 1, "", "elu"], [394, 0, 1, "", "embedding"], [126, 0, 1, "", "empty_like"], [236, 0, 1, "", "equal"], [237, 0, 1, "", "erf"], [337, 0, 1, "", "erfc"], [536, 0, 1, "", "exists"], [238, 0, 1, "", "exp"], [239, 0, 1, "", "exp2"], [461, 0, 1, "", "expand"], [689, 0, 1, "", "expand_dims"], [240, 0, 1, "", "expm1"], [307, 0, 1, "", "eye_like"], [395, 0, 1, "", "fft"], [396, 0, 1, "", "fft2"], [462, 0, 1, "", "fill_diagonal"], [160, 0, 1, "", "finfo"], [338, 0, 1, "", "fix"], [463, 0, 1, "", "flatten"], [690, 0, 1, "", "flip"], [464, 0, 1, "", "fliplr"], [465, 0, 1, "", "flipud"], [339, 0, 1, "", "float_power"], [241, 0, 1, "", "floor"], [242, 0, 1, "", "floor_divide"], [340, 0, 1, "", "fmax"], [243, 0, 1, "", "fmin"], [244, 0, 1, "", "fmod"], [466, 0, 1, "", "fold"], [537, 0, 1, "", "fourier_encode"], [341, 0, 1, "", "frexp"], [128, 0, 1, "", "from_dlpack"], [131, 0, 1, "", "full_like"], [499, 0, 1, "", "gamma"], [540, 0, 1, "", "gather"], [541, 0, 1, "", "gather_nd"], [245, 0, 1, "", "gcd"], [105, 0, 1, "", "gelu"], [424, 0, 1, "", "general_inner_product"], [544, 0, 1, "", "get_num_dims"], [342, 0, 1, "", "gradient"], [606, 0, 1, "", "gradient_descent_update"], [246, 0, 1, "", "greater"], [247, 0, 1, "", "greater_equal"], [490, 0, 1, "", "group_norm"], [292, 0, 1, "", "hardshrink"], [106, 0, 1, "", "hardswish"], [293, 0, 1, "", "hardtanh"], [546, 0, 1, "", "has_nans"], [467, 0, 1, "", "heaviside"], [425, 0, 1, "", "higher_order_moment"], [513, 0, 1, "", "histogram"], [468, 0, 1, "", "hsplit"], [469, 0, 1, "", "hstack"], [442, 0, 1, "", "huber_loss"], [343, 0, 1, "", "hypot"], [470, 0, 1, "", "i0"], [399, 0, 1, "", "idct"], [400, 0, 1, "", "ifft"], [401, 0, 1, "", "ifftn"], [514, 0, 1, "", "igamma"], [163, 0, 1, "", "iinfo"], [248, 0, 1, "", "imag"], [426, 0, 1, "", "initialize_tucker"], [661, 0, 1, "", "inner"], [548, 0, 1, "", "inplace_decrement"], [549, 0, 1, "", "inplace_increment"], [550, 0, 1, "", "inplace_update"], [491, 0, 1, "", "instance_norm"], [403, 0, 1, "", "interpolate"], [662, 0, 1, "", "inv"], [552, 0, 1, "", "is_array"], [166, 0, 1, "", "is_bool_dtype"], [168, 0, 1, "", "is_float_dtype"], [170, 0, 1, "", "is_int_dtype"], [553, 0, 1, "", "is_ivy_array"], [554, 0, 1, "", "is_ivy_container"], [556, 0, 1, "", "is_native_array"], [172, 0, 1, "", "is_uint_dtype"], [344, 0, 1, "", "isclose"], [249, 0, 1, "", "isfinite"], [557, 0, 1, "", "isin"], [250, 0, 1, "", "isinf"], [251, 0, 1, "", "isnan"], [252, 0, 1, "", "isreal"], [559, 0, 1, "", "itemsize"], [443, 0, 1, "", "kl_div"], [428, 0, 1, "", "kron"], [444, 0, 1, "", "l1_loss"], [492, 0, 1, "", "l1_normalize"], [493, 0, 1, "", "l2_normalize"], [608, 0, 1, "", "lamb_update"], [609, 0, 1, "", "lars_update"], [724, 0, 1, "", "layer_norm"], [253, 0, 1, "", "lcm"], [345, 0, 1, "", "ldexp"], [107, 0, 1, "", "leaky_relu"], [346, 0, 1, "", "lerp"], [254, 0, 1, "", "less"], [255, 0, 1, "", "less_equal"], [503, 0, 1, "", "lexsort"], [347, 0, 1, "", "lgamma"], [647, 0, 1, "", "linear"], [132, 0, 1, "", "linspace"], [256, 0, 1, "", "log"], [257, 0, 1, "", "log10"], [258, 0, 1, "", "log1p"], [259, 0, 1, "", "log2"], [445, 0, 1, "", "log_poisson_loss"], [108, 0, 1, "", "log_softmax"], [260, 0, 1, "", "logaddexp"], [261, 0, 1, "", "logaddexp2"], [262, 0, 1, "", "logical_and"], [263, 0, 1, "", "logical_not"], [264, 0, 1, "", "logical_or"], [265, 0, 1, "", "logical_xor"], [294, 0, 1, "", "logit"], [295, 0, 1, "", "logsigmoid"], [133, 0, 1, "", "logspace"], [495, 0, 1, "", "lp_normalize"], [648, 0, 1, "", "lstm_update"], [430, 0, 1, "", "make_svd_non_negative"], [664, 0, 1, "", "matmul"], [471, 0, 1, "", "matricize"], [431, 0, 1, "", "matrix_exp"], [665, 0, 1, "", "matrix_norm"], [666, 0, 1, "", "matrix_power"], [667, 0, 1, "", "matrix_rank"], [668, 0, 1, "", "matrix_transpose"], [747, 0, 1, "", "max"], [404, 0, 1, "", "max_pool1d"], [405, 0, 1, "", "max_pool2d"], [406, 0, 1, "", "max_pool3d"], [407, 0, 1, "", "max_unpool1d"], [266, 0, 1, "", "maximum"], [748, 0, 1, "", "mean"], [515, 0, 1, "", "median"], [313, 0, 1, "", "mel_weight_matrix"], [134, 0, 1, "", "meshgrid"], [749, 0, 1, "", "min"], [267, 0, 1, "", "minimum"], [109, 0, 1, "", "mish"], [432, 0, 1, "", "mode_dot"], [348, 0, 1, "", "modf"], [472, 0, 1, "", "moveaxis"], [741, 0, 1, "", "msort"], [433, 0, 1, "", "multi_dot"], [649, 0, 1, "", "multi_head_attention"], [434, 0, 1, "", "multi_mode_dot"], [725, 0, 1, "", "multinomial"], [268, 0, 1, "", "multiply"], [269, 0, 1, "", "nan_to_num"], [516, 0, 1, "", "nanmean"], [517, 0, 1, "", "nanmedian"], [518, 0, 1, "", "nanmin"], [519, 0, 1, "", "nanprod"], [349, 0, 1, "", "nansum"], [135, 0, 1, "", "native_array"], [270, 0, 1, "", "negative"], [350, 0, 1, "", "nextafter"], [734, 0, 1, "", "nonzero"], [271, 0, 1, "", "not_equal"], [136, 0, 1, "", "one_hot"], [138, 0, 1, "", "ones_like"], [610, 0, 1, "", "optimizer_update"], [521, 0, 1, "", "optional_get_element"], [669, 0, 1, "", "outer"], [473, 0, 1, "", "pad"], [474, 0, 1, "", "partial_fold"], [475, 0, 1, "", "partial_tensor_to_vec"], [435, 0, 1, "", "partial_tucker"], [476, 0, 1, "", "partial_unfold"], [477, 0, 1, "", "partial_vec_to_tensor"], [691, 0, 1, "", "permute_dims"], [670, 0, 1, "", "pinv"], [500, 0, 1, "", "poisson"], [446, 0, 1, "", "poisson_nll_loss"], [272, 0, 1, "", "positive"], [273, 0, 1, "", "pow"], [296, 0, 1, "", "prelu"], [750, 0, 1, "", "prod"], [478, 0, 1, "", "put_along_axis"], [671, 0, 1, "", "qr"], [520, 0, 1, "", "quantile"], [274, 0, 1, "", "rad2deg"], [726, 0, 1, "", "randint"], [727, 0, 1, "", "random_normal"], [728, 0, 1, "", "random_uniform"], [275, 0, 1, "", "real"], [276, 0, 1, "", "reciprocal"], [356, 0, 1, "", "reduce"], [410, 0, 1, "", "reduce_window"], [110, 0, 1, "", "relu"], [297, 0, 1, "", "relu6"], [277, 0, 1, "", "remainder"], [692, 0, 1, "", "repeat"], [693, 0, 1, "", "reshape"], [175, 0, 1, "", "result_type"], [411, 0, 1, "", "rfft"], [412, 0, 1, "", "rfftn"], [694, 0, 1, "", "roll"], [479, 0, 1, "", "rot90"], [278, 0, 1, "", "round"], [652, 0, 1, "", "scaled_dot_product_attention"], [298, 0, 1, "", "scaled_tanh"], [564, 0, 1, "", "scatter_flat"], [565, 0, 1, "", "scatter_nd"], [742, 0, 1, "", "searchsorted"], [299, 0, 1, "", "selu"], [578, 0, 1, "", "shape"], [730, 0, 1, "", "shuffle"], [111, 0, 1, "", "sigmoid"], [279, 0, 1, "", "sign"], [351, 0, 1, "", "signbit"], [300, 0, 1, "", "silu"], [280, 0, 1, "", "sin"], [352, 0, 1, "", "sinc"], [281, 0, 1, "", "sinh"], [414, 0, 1, "", "sliding_window"], [672, 0, 1, "", "slogdet"], [447, 0, 1, "", "smooth_l1_loss"], [448, 0, 1, "", "soft_margin_loss"], [480, 0, 1, "", "soft_thresholding"], [112, 0, 1, "", "softmax"], [113, 0, 1, "", "softplus"], [301, 0, 1, "", "softshrink"], [673, 0, 1, "", "solve"], [743, 0, 1, "", "sort"], [685, 0, 1, "", "sparse_cross_entropy"], [353, 0, 1, "", "sparsify_tensor"], [695, 0, 1, "", "split"], [282, 0, 1, "", "sqrt"], [283, 0, 1, "", "square"], [696, 0, 1, "", "squeeze"], [579, 0, 1, "", "stable_divide"], [580, 0, 1, "", "stable_pow"], [697, 0, 1, "", "stack"], [751, 0, 1, "", "std"], [415, 0, 1, "", "stft"], [611, 0, 1, "", "stop_gradient"], [581, 0, 1, "", "strides"], [284, 0, 1, "", "subtract"], [752, 0, 1, "", "sum"], [582, 0, 1, "", "supports_inplace_updates"], [674, 0, 1, "", "svd"], [437, 0, 1, "", "svd_flip"], [675, 0, 1, "", "svdvals"], [698, 0, 1, "", "swapaxes"], [481, 0, 1, "", "take"], [482, 0, 1, "", "take_along_axis"], [285, 0, 1, "", "tan"], [286, 0, 1, "", "tanh"], [303, 0, 1, "", "tanhshrink"], [438, 0, 1, "", "tensor_train"], [676, 0, 1, "", "tensordot"], [677, 0, 1, "", "tensorsolve"], [304, 0, 1, "", "threshold"], [305, 0, 1, "", "thresholded_relu"], [699, 0, 1, "", "tile"], [209, 0, 1, "", "to_device"], [584, 0, 1, "", "to_list"], [586, 0, 1, "", "to_numpy"], [587, 0, 1, "", "to_scalar"], [483, 0, 1, "", "top_k"], [678, 0, 1, "", "trace"], [287, 0, 1, "", "trapz"], [140, 0, 1, "", "tril"], [323, 0, 1, "", "trilu"], [484, 0, 1, "", "trim_zeros"], [141, 0, 1, "", "triu"], [288, 0, 1, "", "trunc"], [289, 0, 1, "", "trunc_divide"], [439, 0, 1, "", "truncated_svd"], [440, 0, 1, "", "tt_matrix_to_tensor"], [441, 0, 1, "", "tucker"], [485, 0, 1, "", "unfold"], [736, 0, 1, "", "unique_all"], [486, 0, 1, "", "unique_consecutive"], [737, 0, 1, "", "unique_counts"], [738, 0, 1, "", "unique_inverse"], [739, 0, 1, "", "unique_values"], [501, 0, 1, "", "unravel_index"], [324, 0, 1, "", "unsorted_segment_mean"], [325, 0, 1, "", "unsorted_segment_min"], [326, 0, 1, "", "unsorted_segment_sum"], [700, 0, 1, "", "unstack"], [600, 0, 1, "", "value_is_nan"], [679, 0, 1, "", "vander"], [753, 0, 1, "", "var"], [680, 0, 1, "", "vecdot"], [681, 0, 1, "", "vector_norm"], [682, 0, 1, "", "vector_to_skew_symmetric_matrix"], [487, 0, 1, "", "vsplit"], [488, 0, 1, "", "vstack"], [735, 0, 1, "", "where"], [354, 0, 1, "", "xlogy"], [701, 0, 1, "", "zero_pad"], [144, 0, 1, "", "zeros_like"], [355, 0, 1, "", "zeta"]], "ivy": [[621, 1, 1, "", "ArrayMode"], [617, 1, 1, "", "DefaultComplexDtype"], [618, 1, 1, "", "DefaultDevice"], [617, 1, 1, "", "DefaultDtype"], [617, 1, 1, "", "DefaultFloatDtype"], [617, 1, 1, "", "DefaultIntDtype"], [617, 1, 1, "", "DefaultUintDtype"], [379, 1, 1, "", "NativeSparseArray"], [616, 1, 1, "", "NestedSequence"], [621, 1, 1, "", "PreciseMode"], [618, 1, 1, "", "Profiler"], [379, 1, 1, "", "SparseArray"], [215, 2, 1, "", "abs"], [216, 2, 1, "", "acos"], [217, 2, 1, "", "acosh"], [622, 2, 1, "", "adam_step"], [622, 2, 1, "", "adam_update"], [382, 2, 1, "", "adaptive_avg_pool1d"], [383, 2, 1, "", "adaptive_avg_pool2d"], [384, 2, 1, "", "adaptive_max_pool2d"], [218, 2, 1, "", "add"], [369, 2, 1, "", "adjoint"], [635, 2, 1, "", "all"], [621, 2, 1, "", "all_equal"], [628, 2, 1, "", "all_nested_indices"], [365, 2, 1, "", "allclose"], [365, 2, 1, "", "amax"], [365, 2, 1, "", "amin"], [219, 2, 1, "", "angle"], [635, 2, 1, "", "any"], [616, 2, 1, "", "arange"], [385, 2, 1, "", "area_interpolate"], [621, 2, 1, "", "arg_info"], [621, 2, 1, "", "arg_names"], [631, 2, 1, "", "argmax"], [631, 2, 1, "", "argmin"], [633, 2, 1, "", "argsort"], [631, 2, 1, "", "argwhere"], [616, 2, 1, "", "array"], [621, 2, 1, "", "array_equal"], [188, 2, 1, "", "as_ivy_dev"], [617, 2, 1, "", "as_ivy_dtype"], [189, 2, 1, "", "as_native_dev"], [617, 2, 1, "", "as_native_dtype"], [371, 2, 1, "", "as_strided"], [616, 2, 1, "", "asarray"], [220, 2, 1, "", "asin"], [221, 2, 1, "", "asinh"], [621, 2, 1, "", "assert_supports_inplace"], [371, 2, 1, "", "associative_scan"], [617, 2, 1, "", "astype"], [222, 2, 1, "", "atan"], [223, 2, 1, "", "atan2"], [224, 2, 1, "", "atanh"], [371, 2, 1, "", "atleast_1d"], [371, 2, 1, "", "atleast_2d"], [371, 2, 1, "", "atleast_3d"], [386, 2, 1, "", "avg_pool1d"], [387, 2, 1, "", "avg_pool2d"], [388, 2, 1, "", "avg_pool3d"], [374, 2, 1, "", "batch_norm"], [369, 2, 1, "", "batched_outer"], [375, 2, 1, "", "bernoulli"], [375, 2, 1, "", "beta"], [365, 2, 1, "", "binarizer"], [625, 2, 1, "", "binary_cross_entropy"], [380, 2, 1, "", "bincount"], [367, 2, 1, "", "bind_custom_gradient_function"], [225, 2, 1, "", "bitwise_and"], [226, 2, 1, "", "bitwise_invert"], [227, 2, 1, "", "bitwise_left_shift"], [228, 2, 1, "", "bitwise_or"], [229, 2, 1, "", "bitwise_right_shift"], [230, 2, 1, "", "bitwise_xor"], [306, 2, 1, "", "blackman_window"], [617, 2, 1, "", "broadcast_arrays"], [371, 2, 1, "", "broadcast_shapes"], [617, 2, 1, "", "broadcast_to"], [621, 2, 1, "", "cache_fn"], [617, 2, 1, "", "can_cast"], [231, 2, 1, "", "ceil"], [290, 2, 1, "", "celu"], [617, 2, 1, "", "check_float"], [371, 2, 1, "", "check_scalar"], [624, 2, 1, "", "cholesky"], [371, 2, 1, "", "choose"], [190, 2, 1, "", "clear_cached_mem_on_dev"], [626, 2, 1, "", "clip"], [621, 2, 1, "", "clip_matrix_norm"], [621, 2, 1, "", "clip_vector_norm"], [617, 2, 1, "", "closest_valid_dtype"], [615, 2, 1, "", "cmp_is"], [615, 2, 1, "", "cmp_isnot"], [371, 2, 1, "", "column_stack"], [626, 2, 1, "", "concat"], [371, 2, 1, "", "concat_from_sequence"], [369, 2, 1, "", "cond"], [365, 2, 1, "", "conj"], [626, 2, 1, "", "constant_pad"], [621, 2, 1, "", "container_types"], [636, 2, 1, "", "conv"], [637, 2, 1, "", "conv1d"], [638, 2, 1, "", "conv1d_transpose"], [639, 2, 1, "", "conv2d"], [640, 2, 1, "", "conv2d_transpose"], [641, 2, 1, "", "conv3d"], [642, 2, 1, "", "conv3d_transpose"], [643, 2, 1, "", "conv_general_dilated"], [623, 2, 1, "", "conv_general_transpose"], [616, 2, 1, "", "copy_array"], [628, 2, 1, "", "copy_nest"], [365, 2, 1, "", "copysign"], [380, 2, 1, "", "corrcoef"], [232, 2, 1, "", "cos"], [233, 2, 1, "", "cosh"], [365, 2, 1, "", "count_nonzero"], [380, 2, 1, "", "cov"], [624, 2, 1, "", "cross"], [625, 2, 1, "", "cross_entropy"], [380, 2, 1, "", "cummax"], [380, 2, 1, "", "cummin"], [634, 2, 1, "", "cumprod"], [634, 2, 1, "", "cumsum"], [621, 2, 1, "", "current_backend_str"], [389, 2, 1, "", "dct"], [621, 2, 1, "", "default"], [617, 2, 1, "", "default_complex_dtype"], [191, 2, 1, "", "default_device"], [617, 2, 1, "", "default_dtype"], [617, 2, 1, "", "default_float_dtype"], [617, 2, 1, "", "default_int_dtype"], [617, 2, 1, "", "default_uint_dtype"], [234, 2, 1, "", "deg2rad"], [623, 2, 1, "", "depthwise_conv2d"], [624, 2, 1, "", "det"], [192, 2, 1, "", "dev"], [193, 2, 1, "", "dev_util"], [390, 2, 1, "", "dft"], [624, 2, 1, "", "diag"], [369, 2, 1, "", "diagflat"], [624, 2, 1, "", "diagonal"], [365, 2, 1, "", "diff"], [365, 2, 1, "", "digamma"], [375, 2, 1, "", "dirichlet"], [235, 2, 1, "", "divide"], [369, 2, 1, "", "dot"], [623, 2, 1, "", "dropout"], [391, 2, 1, "", "dropout1d"], [392, 2, 1, "", "dropout2d"], [393, 2, 1, "", "dropout3d"], [371, 2, 1, "", "dsplit"], [371, 2, 1, "", "dstack"], [617, 2, 1, "", "dtype"], [617, 2, 1, "", "dtype_bits"], [628, 2, 1, "", "duplicate_array_index_chains"], [614, 6, 1, "", "e"], [369, 2, 1, "", "eig"], [624, 2, 1, "", "eigh"], [369, 2, 1, "", "eigh_tridiagonal"], [369, 2, 1, "", "eigvals"], [624, 2, 1, "", "eigvalsh"], [621, 2, 1, "", "einops_rearrange"], [621, 2, 1, "", "einops_reduce"], [621, 2, 1, "", "einops_repeat"], [634, 2, 1, "", "einsum"], [291, 2, 1, "", "elu"], [394, 2, 1, "", "embedding"], [616, 2, 1, "", "empty"], [616, 2, 1, "", "empty_like"], [236, 2, 1, "", "equal"], [237, 2, 1, "", "erf"], [365, 2, 1, "", "erfc"], [622, 2, 1, "", "execute_with_gradients"], [621, 2, 1, "", "exists"], [238, 2, 1, "", "exp"], [239, 2, 1, "", "exp2"], [371, 2, 1, "", "expand"], [626, 2, 1, "", "expand_dims"], [240, 2, 1, "", "expm1"], [616, 2, 1, "", "eye"], [307, 2, 1, "", "eye_like"], [395, 2, 1, "", "fft"], [396, 2, 1, "", "fft2"], [371, 2, 1, "", "fill_diagonal"], [617, 2, 1, "", "finfo"], [365, 2, 1, "", "fix"], [371, 2, 1, "", "flatten"], [626, 2, 1, "", "flip"], [371, 2, 1, "", "fliplr"], [371, 2, 1, "", "flipud"], [365, 2, 1, "", "float_power"], [241, 2, 1, "", "floor"], [242, 2, 1, "", "floor_divide"], [365, 2, 1, "", "fmax"], [243, 2, 1, "", "fmin"], [244, 2, 1, "", "fmod"], [371, 2, 1, "", "fold"], [627, 2, 1, "", "fomaml_step"], [615, 2, 1, "", "for_loop"], [621, 2, 1, "", "fourier_encode"], [365, 2, 1, "", "frexp"], [616, 2, 1, "", "from_dlpack"], [616, 2, 1, "", "frombuffer"], [616, 2, 1, "", "full"], [616, 2, 1, "", "full_like"], [194, 2, 1, "", "function_supported_devices"], [621, 2, 1, "", "function_supported_devices_and_dtypes"], [617, 2, 1, "", "function_supported_dtypes"], [195, 2, 1, "", "function_unsupported_devices"], [621, 2, 1, "", "function_unsupported_devices_and_dtypes"], [617, 2, 1, "", "function_unsupported_dtypes"], [375, 2, 1, "", "gamma"], [621, 2, 1, "", "gather"], [621, 2, 1, "", "gather_nd"], [245, 2, 1, "", "gcd"], [613, 2, 1, "", "gelu"], [369, 2, 1, "", "general_inner_product"], [397, 2, 1, "", "generate_einsum_equation"], [621, 2, 1, "", "get_all_arrays_in_memory"], [196, 2, 1, "", "get_all_ivy_arrays_on_dev"], [398, 2, 1, "", "get_interpolate_kernel"], [621, 2, 1, "", "get_item"], [621, 2, 1, "", "get_num_dims"], [621, 2, 1, "", "get_referrers_recursive"], [197, 2, 1, "", "gpu_is_available"], [622, 2, 1, "", "grad"], [365, 2, 1, "", "gradient"], [622, 2, 1, "", "gradient_descent_update"], [246, 2, 1, "", "greater"], [247, 2, 1, "", "greater_equal"], [374, 2, 1, "", "group_norm"], [308, 2, 1, "", "hamming_window"], [198, 2, 1, "", "handle_soft_device_variable"], [309, 2, 1, "", "hann_window"], [292, 2, 1, "", "hardshrink"], [613, 2, 1, "", "hardswish"], [293, 2, 1, "", "hardtanh"], [621, 2, 1, "", "has_nans"], [371, 2, 1, "", "heaviside"], [369, 2, 1, "", "higher_order_moment"], [380, 2, 1, "", "histogram"], [371, 2, 1, "", "hsplit"], [371, 2, 1, "", "hstack"], [370, 2, 1, "", "huber_loss"], [365, 2, 1, "", "hypot"], [371, 2, 1, "", "i0"], [399, 2, 1, "", "idct"], [615, 2, 1, "", "if_else"], [400, 2, 1, "", "ifft"], [401, 2, 1, "", "ifftn"], [380, 2, 1, "", "igamma"], [617, 2, 1, "", "iinfo"], [248, 2, 1, "", "imag"], [628, 2, 1, "", "index_nest"], [310, 2, 1, "", "indices"], [614, 6, 1, "", "inf"], [617, 2, 1, "", "infer_default_dtype"], [369, 2, 1, "", "initialize_tucker"], [624, 2, 1, "", "inner"], [621, 2, 1, "", "inplace_arrays_supported"], [621, 2, 1, "", "inplace_decrement"], [621, 2, 1, "", "inplace_increment"], [621, 2, 1, "", "inplace_update"], [621, 2, 1, "", "inplace_variables_supported"], [628, 2, 1, "", "insert_into_nest_at_index"], [628, 2, 1, "", "insert_into_nest_at_indices"], [374, 2, 1, "", "instance_norm"], [402, 2, 1, "", "interp"], [403, 2, 1, "", "interpolate"], [624, 2, 1, "", "inv"], [617, 2, 1, "", "invalid_dtype"], [378, 2, 1, "", "invert_permutation"], [621, 2, 1, "", "is_array"], [617, 2, 1, "", "is_bool_dtype"], [617, 2, 1, "", "is_complex_dtype"], [617, 2, 1, "", "is_float_dtype"], [617, 2, 1, "", "is_hashable_dtype"], [617, 2, 1, "", "is_int_dtype"], [621, 2, 1, "", "is_ivy_array"], [621, 2, 1, "", "is_ivy_container"], [621, 2, 1, "", "is_ivy_nested_array"], [379, 2, 1, "", "is_ivy_sparse_array"], [621, 2, 1, "", "is_native_array"], [617, 2, 1, "", "is_native_dtype"], [379, 2, 1, "", "is_native_sparse_array"], [617, 2, 1, "", "is_uint_dtype"], [365, 2, 1, "", "isclose"], [249, 2, 1, "", "isfinite"], [621, 2, 1, "", "isin"], [250, 2, 1, "", "isinf"], [251, 2, 1, "", "isnan"], [252, 2, 1, "", "isreal"], [621, 2, 1, "", "isscalar"], [621, 2, 1, "", "itemsize"], [622, 2, 1, "", "jac"], [367, 2, 1, "", "jvp"], [311, 2, 1, "", "kaiser_bessel_derived_window"], [312, 2, 1, "", "kaiser_window"], [369, 2, 1, "", "khatri_rao"], [370, 2, 1, "", "kl_div"], [369, 2, 1, "", "kron"], [369, 2, 1, "", "kronecker"], [370, 2, 1, "", "l1_loss"], [374, 2, 1, "", "l1_normalize"], [374, 2, 1, "", "l2_normalize"], [622, 2, 1, "", "lamb_update"], [622, 2, 1, "", "lars_update"], [629, 2, 1, "", "layer_norm"], [253, 2, 1, "", "lcm"], [365, 2, 1, "", "ldexp"], [613, 2, 1, "", "leaky_relu"], [365, 2, 1, "", "lerp"], [254, 2, 1, "", "less"], [255, 2, 1, "", "less_equal"], [378, 2, 1, "", "lexsort"], [365, 2, 1, "", "lgamma"], [623, 2, 1, "", "linear"], [616, 2, 1, "", "linspace"], [635, 2, 1, "", "load"], [374, 2, 1, "", "local_response_norm"], [256, 2, 1, "", "log"], [257, 2, 1, "", "log10"], [258, 2, 1, "", "log1p"], [259, 2, 1, "", "log2"], [370, 2, 1, "", "log_poisson_loss"], [613, 2, 1, "", "log_softmax"], [260, 2, 1, "", "logaddexp"], [261, 2, 1, "", "logaddexp2"], [262, 2, 1, "", "logical_and"], [263, 2, 1, "", "logical_not"], [264, 2, 1, "", "logical_or"], [265, 2, 1, "", "logical_xor"], [294, 2, 1, "", "logit"], [295, 2, 1, "", "logsigmoid"], [616, 2, 1, "", "logspace"], [374, 2, 1, "", "lp_normalize"], [623, 2, 1, "", "lstm_update"], [624, 2, 1, "", "lu_factor"], [369, 2, 1, "", "make_svd_non_negative"], [627, 2, 1, "", "maml_step"], [628, 2, 1, "", "map"], [628, 2, 1, "", "map_nest_at_index"], [628, 2, 1, "", "map_nest_at_indices"], [621, 2, 1, "", "match_kwargs"], [624, 2, 1, "", "matmul"], [371, 2, 1, "", "matricize"], [369, 2, 1, "", "matrix_exp"], [624, 2, 1, "", "matrix_norm"], [624, 2, 1, "", "matrix_power"], [624, 2, 1, "", "matrix_rank"], [624, 2, 1, "", "matrix_transpose"], [634, 2, 1, "", "max"], [404, 2, 1, "", "max_pool1d"], [405, 2, 1, "", "max_pool2d"], [406, 2, 1, "", "max_pool3d"], [407, 2, 1, "", "max_unpool1d"], [266, 2, 1, "", "maximum"], [634, 2, 1, "", "mean"], [380, 2, 1, "", "median"], [313, 2, 1, "", "mel_weight_matrix"], [616, 2, 1, "", "meshgrid"], [634, 2, 1, "", "min"], [267, 2, 1, "", "minimum"], [613, 2, 1, "", "mish"], [369, 2, 1, "", "mode_dot"], [365, 2, 1, "", "modf"], [371, 2, 1, "", "moveaxis"], [633, 2, 1, "", "msort"], [369, 2, 1, "", "multi_dot"], [623, 2, 1, "", "multi_head_attention"], [628, 2, 1, "", "multi_index_nest"], [369, 2, 1, "", "multi_mode_dot"], [630, 2, 1, "", "multinomial"], [268, 2, 1, "", "multiply"], [621, 2, 1, "", "multiprocessing"], [614, 6, 1, "", "nan"], [269, 2, 1, "", "nan_to_num"], [380, 2, 1, "", "nanmean"], [380, 2, 1, "", "nanmedian"], [380, 2, 1, "", "nanmin"], [380, 2, 1, "", "nanprod"], [365, 2, 1, "", "nansum"], [616, 2, 1, "", "native_array"], [379, 2, 1, "", "native_sparse_array"], [379, 2, 1, "", "native_sparse_array_to_indices_values_and_shape"], [314, 2, 1, "", "ndenumerate"], [315, 2, 1, "", "ndindex"], [408, 2, 1, "", "nearest_interpolate"], [270, 2, 1, "", "negative"], [628, 2, 1, "", "nested_any"], [628, 2, 1, "", "nested_argwhere"], [628, 2, 1, "", "nested_map"], [628, 2, 1, "", "nested_multi_map"], [614, 6, 1, "", "newaxis"], [365, 2, 1, "", "nextafter"], [623, 2, 1, "", "nms"], [631, 2, 1, "", "nonzero"], [271, 2, 1, "", "not_equal"], [621, 2, 1, "", "num_arrays_in_memory"], [199, 2, 1, "", "num_cpu_cores"], [200, 2, 1, "", "num_gpus"], [201, 2, 1, "", "num_ivy_arrays_on_dev"], [616, 2, 1, "", "one_hot"], [616, 2, 1, "", "ones"], [616, 2, 1, "", "ones_like"], [622, 2, 1, "", "optimizer_update"], [381, 2, 1, "", "optional_get_element"], [624, 2, 1, "", "outer"], [371, 2, 1, "", "pad"], [371, 2, 1, "", "partial_fold"], [371, 2, 1, "", "partial_tensor_to_vec"], [369, 2, 1, "", "partial_tucker"], [371, 2, 1, "", "partial_unfold"], [371, 2, 1, "", "partial_vec_to_tensor"], [202, 2, 1, "", "percent_used_mem_on_dev"], [626, 2, 1, "", "permute_dims"], [614, 6, 1, "", "pi"], [624, 2, 1, "", "pinv"], [375, 2, 1, "", "poisson"], [370, 2, 1, "", "poisson_nll_loss"], [316, 2, 1, "", "polyval"], [409, 2, 1, "", "pool"], [272, 2, 1, "", "positive"], [273, 2, 1, "", "pow"], [296, 2, 1, "", "prelu"], [621, 2, 1, "", "print_all_arrays_in_memory"], [203, 2, 1, "", "print_all_ivy_arrays_on_dev"], [634, 2, 1, "", "prod"], [617, 2, 1, "", "promote_types"], [617, 2, 1, "", "promote_types_of_inputs"], [628, 2, 1, "", "prune_empty"], [628, 2, 1, "", "prune_nest_at_index"], [628, 2, 1, "", "prune_nest_at_indices"], [371, 2, 1, "", "put_along_axis"], [624, 2, 1, "", "qr"], [380, 2, 1, "", "quantile"], [274, 2, 1, "", "rad2deg"], [630, 2, 1, "", "randint"], [317, 2, 1, "", "random_cp"], [630, 2, 1, "", "random_normal"], [318, 2, 1, "", "random_parafac2"], [319, 2, 1, "", "random_tr"], [320, 2, 1, "", "random_tt"], [321, 2, 1, "", "random_tucker"], [630, 2, 1, "", "random_uniform"], [275, 2, 1, "", "real"], [276, 2, 1, "", "reciprocal"], [366, 2, 1, "", "reduce"], [410, 2, 1, "", "reduce_window"], [613, 2, 1, "", "relu"], [297, 2, 1, "", "relu6"], [277, 2, 1, "", "remainder"], [626, 2, 1, "", "repeat"], [627, 2, 1, "", "reptile_step"], [626, 2, 1, "", "reshape"], [617, 2, 1, "", "result_type"], [411, 2, 1, "", "rfft"], [412, 2, 1, "", "rfftn"], [413, 2, 1, "", "rnn"], [623, 2, 1, "", "roi_align"], [626, 2, 1, "", "roll"], [371, 2, 1, "", "rot90"], [278, 2, 1, "", "round"], [635, 2, 1, "", "save"], [623, 2, 1, "", "scaled_dot_product_attention"], [298, 2, 1, "", "scaled_tanh"], [621, 2, 1, "", "scatter_flat"], [621, 2, 1, "", "scatter_nd"], [633, 2, 1, "", "searchsorted"], [630, 2, 1, "", "seed"], [299, 2, 1, "", "selu"], [621, 2, 1, "", "set_array_mode"], [617, 2, 1, "", "set_default_complex_dtype"], [204, 2, 1, "", "set_default_device"], [617, 2, 1, "", "set_default_dtype"], [617, 2, 1, "", "set_default_float_dtype"], [617, 2, 1, "", "set_default_int_dtype"], [617, 2, 1, "", "set_default_uint_dtype"], [621, 2, 1, "", "set_exception_trace_mode"], [621, 2, 1, "", "set_inplace_mode"], [621, 2, 1, "", "set_item"], [621, 2, 1, "", "set_min_base"], [621, 2, 1, "", "set_min_denominator"], [628, 2, 1, "", "set_nest_at_index"], [628, 2, 1, "", "set_nest_at_indices"], [621, 2, 1, "", "set_nestable_mode"], [621, 2, 1, "", "set_precise_mode"], [621, 2, 1, "", "set_queue_timeout"], [621, 2, 1, "", "set_shape_array_mode"], [621, 2, 1, "", "set_show_func_wrapper_trace_mode"], [205, 2, 1, "", "set_soft_device_mode"], [206, 2, 1, "", "set_split_factor"], [621, 2, 1, "", "set_tmp_dir"], [621, 2, 1, "", "shape"], [630, 2, 1, "", "shuffle"], [613, 2, 1, "", "sigmoid"], [279, 2, 1, "", "sign"], [365, 2, 1, "", "signbit"], [300, 2, 1, "", "silu"], [280, 2, 1, "", "sin"], [365, 2, 1, "", "sinc"], [281, 2, 1, "", "sinh"], [368, 2, 1, "", "sliding_window"], [624, 2, 1, "", "slogdet"], [370, 2, 1, "", "smooth_l1_loss"], [370, 2, 1, "", "soft_margin_loss"], [371, 2, 1, "", "soft_thresholding"], [613, 2, 1, "", "softmax"], [613, 2, 1, "", "softplus"], [301, 2, 1, "", "softshrink"], [613, 2, 1, "", "softsign"], [624, 2, 1, "", "solve"], [369, 2, 1, "", "solve_triangular"], [633, 2, 1, "", "sort"], [625, 2, 1, "", "sparse_cross_entropy"], [365, 2, 1, "", "sparsify_tensor"], [626, 2, 1, "", "split"], [207, 2, 1, "", "split_factor"], [208, 2, 1, "", "split_func_call"], [282, 2, 1, "", "sqrt"], [283, 2, 1, "", "square"], [626, 2, 1, "", "squeeze"], [621, 2, 1, "", "stable_divide"], [621, 2, 1, "", "stable_pow"], [626, 2, 1, "", "stack"], [302, 2, 1, "", "stanh"], [634, 2, 1, "", "std"], [368, 2, 1, "", "stft"], [622, 2, 1, "", "stop_gradient"], [621, 2, 1, "", "strides"], [284, 2, 1, "", "subtract"], [634, 2, 1, "", "sum"], [621, 2, 1, "", "supports_inplace_updates"], [624, 2, 1, "", "svd"], [369, 2, 1, "", "svd_flip"], [624, 2, 1, "", "svdvals"], [626, 2, 1, "", "swapaxes"], [371, 2, 1, "", "take"], [371, 2, 1, "", "take_along_axis"], [285, 2, 1, "", "tan"], [286, 2, 1, "", "tanh"], [303, 2, 1, "", "tanhshrink"], [369, 2, 1, "", "tensor_train"], [624, 2, 1, "", "tensordot"], [624, 2, 1, "", "tensorsolve"], [304, 2, 1, "", "threshold"], [305, 2, 1, "", "thresholded_relu"], [626, 2, 1, "", "tile"], [209, 2, 1, "", "to_device"], [616, 2, 1, "", "to_dlpack"], [621, 2, 1, "", "to_ivy_shape"], [621, 2, 1, "", "to_list"], [621, 2, 1, "", "to_native_shape"], [621, 2, 1, "", "to_numpy"], [621, 2, 1, "", "to_scalar"], [371, 2, 1, "", "top_k"], [210, 2, 1, "", "total_mem_on_dev"], [211, 2, 1, "", "tpu_is_available"], [624, 2, 1, "", "trace"], [848, 2, 1, "", "trace_graph"], [849, 2, 1, "", "transpile"], [287, 2, 1, "", "trapz"], [616, 2, 1, "", "tril"], [362, 2, 1, "", "tril_indices"], [362, 2, 1, "", "trilu"], [371, 2, 1, "", "trim_zeros"], [616, 2, 1, "", "triu"], [616, 2, 1, "", "triu_indices"], [288, 2, 1, "", "trunc"], [289, 2, 1, "", "trunc_divide"], [369, 2, 1, "", "truncated_svd"], [621, 2, 1, "", "try_else_none"], [615, 2, 1, "", "try_except"], [369, 2, 1, "", "tt_matrix_to_tensor"], [369, 2, 1, "", "tucker"], [617, 2, 1, "", "type_promote_arrays"], [371, 2, 1, "", "unfold"], [850, 2, 1, "", "unify"], [632, 2, 1, "", "unique_all"], [371, 2, 1, "", "unique_consecutive"], [632, 2, 1, "", "unique_counts"], [632, 2, 1, "", "unique_inverse"], [632, 2, 1, "", "unique_values"], [376, 2, 1, "", "unravel_index"], [621, 2, 1, "", "unset_array_mode"], [617, 2, 1, "", "unset_default_complex_dtype"], [212, 2, 1, "", "unset_default_device"], [617, 2, 1, "", "unset_default_dtype"], [184, 2, 1, "", "unset_default_float_dtype"], [185, 2, 1, "", "unset_default_int_dtype"], [186, 2, 1, "", "unset_default_uint_dtype"], [621, 2, 1, "", "unset_exception_trace_mode"], [621, 2, 1, "", "unset_inplace_mode"], [621, 2, 1, "", "unset_min_base"], [621, 2, 1, "", "unset_min_denominator"], [621, 2, 1, "", "unset_nestable_mode"], [621, 2, 1, "", "unset_precise_mode"], [621, 2, 1, "", "unset_queue_timeout"], [621, 2, 1, "", "unset_shape_array_mode"], [621, 2, 1, "", "unset_show_func_wrapper_trace_mode"], [213, 2, 1, "", "unset_soft_device_mode"], [621, 2, 1, "", "unset_tmp_dir"], [362, 2, 1, "", "unsorted_segment_mean"], [362, 2, 1, "", "unsorted_segment_min"], [362, 2, 1, "", "unsorted_segment_sum"], [626, 2, 1, "", "unstack"], [214, 2, 1, "", "used_mem_on_dev"], [187, 2, 1, "", "valid_dtype"], [622, 2, 1, "", "value_and_grad"], [621, 2, 1, "", "value_is_nan"], [624, 2, 1, "", "vander"], [634, 2, 1, "", "var"], [624, 2, 1, "", "vecdot"], [624, 2, 1, "", "vector_norm"], [624, 2, 1, "", "vector_to_skew_symmetric_matrix"], [367, 2, 1, "", "vjp"], [621, 2, 1, "", "vmap"], [362, 2, 1, "", "vorbis_window"], [371, 2, 1, "", "vsplit"], [371, 2, 1, "", "vstack"], [631, 2, 1, "", "where"], [615, 2, 1, "", "while_loop"], [365, 2, 1, "", "xlogy"], [626, 2, 1, "", "zero_pad"], [616, 2, 1, "", "zeros"], [616, 2, 1, "", "zeros_like"], [365, 2, 1, "", "zeta"]], "ivy.Container": [[215, 0, 1, "", "abs"], [216, 0, 1, "", "acos"], [217, 0, 1, "", "acosh"], [602, 0, 1, "", "adam_step"], [603, 0, 1, "", "adam_update"], [382, 0, 1, "", "adaptive_avg_pool1d"], [383, 0, 1, "", "adaptive_avg_pool2d"], [384, 0, 1, "", "adaptive_max_pool2d"], [218, 0, 1, "", "add"], [416, 0, 1, "", "adjoint"], [754, 0, 1, "", "all"], [522, 0, 1, "", "all_equal"], [328, 0, 1, "", "allclose"], [329, 0, 1, "", "amax"], [330, 0, 1, "", "amin"], [219, 0, 1, "", "angle"], [755, 0, 1, "", "any"], [731, 0, 1, "", "argmax"], [732, 0, 1, "", "argmin"], [740, 0, 1, "", "argsort"], [733, 0, 1, "", "argwhere"], [525, 0, 1, "", "array_equal"], [449, 0, 1, "", "as_strided"], [123, 0, 1, "", "asarray"], [220, 0, 1, "", "asin"], [221, 0, 1, "", "asinh"], [526, 0, 1, "", "assert_supports_inplace"], [450, 0, 1, "", "associative_scan"], [147, 0, 1, "", "astype"], [222, 0, 1, "", "atan"], [223, 0, 1, "", "atan2"], [224, 0, 1, "", "atanh"], [451, 0, 1, "", "atleast_1d"], [452, 0, 1, "", "atleast_2d"], [453, 0, 1, "", "atleast_3d"], [386, 0, 1, "", "avg_pool1d"], [387, 0, 1, "", "avg_pool2d"], [388, 0, 1, "", "avg_pool3d"], [489, 0, 1, "", "batch_norm"], [417, 0, 1, "", "batched_outer"], [496, 0, 1, "", "bernoulli"], [497, 0, 1, "", "beta"], [331, 0, 1, "", "binarizer"], [683, 0, 1, "", "binary_cross_entropy"], [508, 0, 1, "", "bincount"], [225, 0, 1, "", "bitwise_and"], [226, 0, 1, "", "bitwise_invert"], [227, 0, 1, "", "bitwise_left_shift"], [228, 0, 1, "", "bitwise_or"], [229, 0, 1, "", "bitwise_right_shift"], [230, 0, 1, "", "bitwise_xor"], [306, 0, 1, "", "blackman_window"], [148, 0, 1, "", "broadcast_arrays"], [454, 0, 1, "", "broadcast_shapes"], [149, 0, 1, "", "broadcast_to"], [150, 0, 1, "", "can_cast"], [231, 0, 1, "", "ceil"], [290, 0, 1, "", "celu"], [653, 0, 1, "", "cholesky"], [686, 0, 1, "", "clip"], [528, 0, 1, "", "clip_matrix_norm"], [529, 0, 1, "", "clip_vector_norm"], [457, 0, 1, "", "column_stack"], [687, 0, 1, "", "concat"], [458, 0, 1, "", "concat_from_sequence"], [418, 0, 1, "", "cond"], [332, 0, 1, "", "conj"], [688, 0, 1, "", "constant_pad"], [637, 0, 1, "", "conv1d"], [638, 0, 1, "", "conv1d_transpose"], [639, 0, 1, "", "conv2d"], [640, 0, 1, "", "conv2d_transpose"], [641, 0, 1, "", "conv3d"], [642, 0, 1, "", "conv3d_transpose"], [124, 0, 1, "", "copy_array"], [333, 0, 1, "", "copysign"], [509, 0, 1, "", "corrcoef"], [232, 0, 1, "", "cos"], [233, 0, 1, "", "cosh"], [334, 0, 1, "", "count_nonzero"], [510, 0, 1, "", "cov"], [654, 0, 1, "", "cross"], [684, 0, 1, "", "cross_entropy"], [511, 0, 1, "", "cummax"], [512, 0, 1, "", "cummin"], [744, 0, 1, "", "cumprod"], [745, 0, 1, "", "cumsum"], [389, 0, 1, "", "dct"], [234, 0, 1, "", "deg2rad"], [645, 0, 1, "", "depthwise_conv2d"], [655, 0, 1, "", "det"], [192, 0, 1, "", "dev"], [390, 0, 1, "", "dft"], [656, 0, 1, "", "diag"], [419, 0, 1, "", "diagflat"], [657, 0, 1, "", "diagonal"], [335, 0, 1, "", "diff"], [336, 0, 1, "", "digamma"], [498, 0, 1, "", "dirichlet"], [235, 0, 1, "", "divide"], [420, 0, 1, "", "dot"], [646, 0, 1, "", "dropout"], [391, 0, 1, "", "dropout1d"], [392, 0, 1, "", "dropout2d"], [393, 0, 1, "", "dropout3d"], [459, 0, 1, "", "dsplit"], [460, 0, 1, "", "dstack"], [158, 0, 1, "", "dtype"], [421, 0, 1, "", "eig"], [659, 0, 1, "", "eigh"], [422, 0, 1, "", "eigh_tridiagonal"], [423, 0, 1, "", "eigvals"], [660, 0, 1, "", "eigvalsh"], [533, 0, 1, "", "einops_rearrange"], [534, 0, 1, "", "einops_reduce"], [535, 0, 1, "", "einops_repeat"], [746, 0, 1, "", "einsum"], [291, 0, 1, "", "elu"], [394, 0, 1, "", "embedding"], [126, 0, 1, "", "empty_like"], [236, 0, 1, "", "equal"], [237, 0, 1, "", "erf"], [337, 0, 1, "", "erfc"], [536, 0, 1, "", "exists"], [238, 0, 1, "", "exp"], [239, 0, 1, "", "exp2"], [461, 0, 1, "", "expand"], [689, 0, 1, "", "expand_dims"], [240, 0, 1, "", "expm1"], [307, 0, 1, "", "eye_like"], [395, 0, 1, "", "fft"], [462, 0, 1, "", "fill_diagonal"], [160, 0, 1, "", "finfo"], [338, 0, 1, "", "fix"], [463, 0, 1, "", "flatten"], [690, 0, 1, "", "flip"], [464, 0, 1, "", "fliplr"], [465, 0, 1, "", "flipud"], [339, 0, 1, "", "float_power"], [241, 0, 1, "", "floor"], [242, 0, 1, "", "floor_divide"], [340, 0, 1, "", "fmax"], [243, 0, 1, "", "fmin"], [244, 0, 1, "", "fmod"], [466, 0, 1, "", "fold"], [537, 0, 1, "", "fourier_encode"], [341, 0, 1, "", "frexp"], [128, 0, 1, "", "from_dlpack"], [129, 0, 1, "", "frombuffer"], [131, 0, 1, "", "full_like"], [499, 0, 1, "", "gamma"], [540, 0, 1, "", "gather"], [541, 0, 1, "", "gather_nd"], [245, 0, 1, "", "gcd"], [105, 0, 1, "", "gelu"], [424, 0, 1, "", "general_inner_product"], [544, 0, 1, "", "get_num_dims"], [342, 0, 1, "", "gradient"], [606, 0, 1, "", "gradient_descent_update"], [246, 0, 1, "", "greater"], [247, 0, 1, "", "greater_equal"], [490, 0, 1, "", "group_norm"], [308, 0, 1, "", "hamming_window"], [309, 0, 1, "", "hann_window"], [292, 0, 1, "", "hardshrink"], [106, 0, 1, "", "hardswish"], [293, 0, 1, "", "hardtanh"], [546, 0, 1, "", "has_nans"], [467, 0, 1, "", "heaviside"], [425, 0, 1, "", "higher_order_moment"], [513, 0, 1, "", "histogram"], [468, 0, 1, "", "hsplit"], [469, 0, 1, "", "hstack"], [442, 0, 1, "", "huber_loss"], [343, 0, 1, "", "hypot"], [470, 0, 1, "", "i0"], [399, 0, 1, "", "idct"], [400, 0, 1, "", "ifft"], [401, 0, 1, "", "ifftn"], [514, 0, 1, "", "igamma"], [163, 0, 1, "", "iinfo"], [248, 0, 1, "", "imag"], [426, 0, 1, "", "initialize_tucker"], [661, 0, 1, "", "inner"], [548, 0, 1, "", "inplace_decrement"], [549, 0, 1, "", "inplace_increment"], [550, 0, 1, "", "inplace_update"], [491, 0, 1, "", "instance_norm"], [403, 0, 1, "", "interpolate"], [662, 0, 1, "", "inv"], [502, 0, 1, "", "invert_permutation"], [552, 0, 1, "", "is_array"], [166, 0, 1, "", "is_bool_dtype"], [167, 0, 1, "", "is_complex_dtype"], [168, 0, 1, "", "is_float_dtype"], [170, 0, 1, "", "is_int_dtype"], [553, 0, 1, "", "is_ivy_array"], [556, 0, 1, "", "is_native_array"], [172, 0, 1, "", "is_uint_dtype"], [344, 0, 1, "", "isclose"], [249, 0, 1, "", "isfinite"], [557, 0, 1, "", "isin"], [250, 0, 1, "", "isinf"], [251, 0, 1, "", "isnan"], [252, 0, 1, "", "isreal"], [559, 0, 1, "", "itemsize"], [311, 0, 1, "", "kaiser_bessel_derived_window"], [312, 0, 1, "", "kaiser_window"], [443, 0, 1, "", "kl_div"], [428, 0, 1, "", "kron"], [444, 0, 1, "", "l1_loss"], [492, 0, 1, "", "l1_normalize"], [493, 0, 1, "", "l2_normalize"], [608, 0, 1, "", "lamb_update"], [609, 0, 1, "", "lars_update"], [724, 0, 1, "", "layer_norm"], [253, 0, 1, "", "lcm"], [345, 0, 1, "", "ldexp"], [107, 0, 1, "", "leaky_relu"], [346, 0, 1, "", "lerp"], [254, 0, 1, "", "less"], [255, 0, 1, "", "less_equal"], [503, 0, 1, "", "lexsort"], [647, 0, 1, "", "linear"], [132, 0, 1, "", "linspace"], [256, 0, 1, "", "log"], [257, 0, 1, "", "log10"], [258, 0, 1, "", "log1p"], [259, 0, 1, "", "log2"], [445, 0, 1, "", "log_poisson_loss"], [108, 0, 1, "", "log_softmax"], [260, 0, 1, "", "logaddexp"], [261, 0, 1, "", "logaddexp2"], [262, 0, 1, "", "logical_and"], [263, 0, 1, "", "logical_not"], [264, 0, 1, "", "logical_or"], [265, 0, 1, "", "logical_xor"], [294, 0, 1, "", "logit"], [295, 0, 1, "", "logsigmoid"], [133, 0, 1, "", "logspace"], [495, 0, 1, "", "lp_normalize"], [648, 0, 1, "", "lstm_update"], [430, 0, 1, "", "make_svd_non_negative"], [664, 0, 1, "", "matmul"], [471, 0, 1, "", "matricize"], [431, 0, 1, "", "matrix_exp"], [665, 0, 1, "", "matrix_norm"], [666, 0, 1, "", "matrix_power"], [667, 0, 1, "", "matrix_rank"], [668, 0, 1, "", "matrix_transpose"], [747, 0, 1, "", "max"], [404, 0, 1, "", "max_pool1d"], [405, 0, 1, "", "max_pool2d"], [406, 0, 1, "", "max_pool3d"], [407, 0, 1, "", "max_unpool1d"], [266, 0, 1, "", "maximum"], [748, 0, 1, "", "mean"], [515, 0, 1, "", "median"], [313, 0, 1, "", "mel_weight_matrix"], [134, 0, 1, "", "meshgrid"], [749, 0, 1, "", "min"], [267, 0, 1, "", "minimum"], [109, 0, 1, "", "mish"], [432, 0, 1, "", "mode_dot"], [348, 0, 1, "", "modf"], [472, 0, 1, "", "moveaxis"], [741, 0, 1, "", "msort"], [433, 0, 1, "", "multi_dot"], [649, 0, 1, "", "multi_head_attention"], [434, 0, 1, "", "multi_mode_dot"], [725, 0, 1, "", "multinomial"], [268, 0, 1, "", "multiply"], [269, 0, 1, "", "nan_to_num"], [516, 0, 1, "", "nanmean"], [517, 0, 1, "", "nanmedian"], [518, 0, 1, "", "nanmin"], [519, 0, 1, "", "nanprod"], [349, 0, 1, "", "nansum"], [135, 0, 1, "", "native_array"], [270, 0, 1, "", "negative"], [350, 0, 1, "", "nextafter"], [734, 0, 1, "", "nonzero"], [271, 0, 1, "", "not_equal"], [136, 0, 1, "", "one_hot"], [138, 0, 1, "", "ones_like"], [610, 0, 1, "", "optimizer_update"], [521, 0, 1, "", "optional_get_element"], [669, 0, 1, "", "outer"], [473, 0, 1, "", "pad"], [474, 0, 1, "", "partial_fold"], [475, 0, 1, "", "partial_tensor_to_vec"], [435, 0, 1, "", "partial_tucker"], [476, 0, 1, "", "partial_unfold"], [477, 0, 1, "", "partial_vec_to_tensor"], [691, 0, 1, "", "permute_dims"], [670, 0, 1, "", "pinv"], [500, 0, 1, "", "poisson"], [446, 0, 1, "", "poisson_nll_loss"], [316, 0, 1, "", "polyval"], [272, 0, 1, "", "positive"], [273, 0, 1, "", "pow"], [296, 0, 1, "", "prelu"], [750, 0, 1, "", "prod"], [478, 0, 1, "", "put_along_axis"], [671, 0, 1, "", "qr"], [520, 0, 1, "", "quantile"], [274, 0, 1, "", "rad2deg"], [726, 0, 1, "", "randint"], [727, 0, 1, "", "random_normal"], [728, 0, 1, "", "random_uniform"], [275, 0, 1, "", "real"], [276, 0, 1, "", "reciprocal"], [356, 0, 1, "", "reduce"], [410, 0, 1, "", "reduce_window"], [110, 0, 1, "", "relu"], [297, 0, 1, "", "relu6"], [277, 0, 1, "", "remainder"], [692, 0, 1, "", "repeat"], [693, 0, 1, "", "reshape"], [175, 0, 1, "", "result_type"], [411, 0, 1, "", "rfft"], [412, 0, 1, "", "rfftn"], [694, 0, 1, "", "roll"], [479, 0, 1, "", "rot90"], [278, 0, 1, "", "round"], [652, 0, 1, "", "scaled_dot_product_attention"], [298, 0, 1, "", "scaled_tanh"], [564, 0, 1, "", "scatter_flat"], [565, 0, 1, "", "scatter_nd"], [742, 0, 1, "", "searchsorted"], [299, 0, 1, "", "selu"], [730, 0, 1, "", "shuffle"], [111, 0, 1, "", "sigmoid"], [279, 0, 1, "", "sign"], [351, 0, 1, "", "signbit"], [300, 0, 1, "", "silu"], [280, 0, 1, "", "sin"], [352, 0, 1, "", "sinc"], [281, 0, 1, "", "sinh"], [414, 0, 1, "", "sliding_window"], [672, 0, 1, "", "slogdet"], [447, 0, 1, "", "smooth_l1_loss"], [448, 0, 1, "", "soft_margin_loss"], [480, 0, 1, "", "soft_thresholding"], [112, 0, 1, "", "softmax"], [113, 0, 1, "", "softplus"], [301, 0, 1, "", "softshrink"], [673, 0, 1, "", "solve"], [743, 0, 1, "", "sort"], [685, 0, 1, "", "sparse_cross_entropy"], [353, 0, 1, "", "sparsify_tensor"], [695, 0, 1, "", "split"], [282, 0, 1, "", "sqrt"], [283, 0, 1, "", "square"], [696, 0, 1, "", "squeeze"], [579, 0, 1, "", "stable_divide"], [580, 0, 1, "", "stable_pow"], [697, 0, 1, "", "stack"], [751, 0, 1, "", "std"], [415, 0, 1, "", "stft"], [611, 0, 1, "", "stop_gradient"], [581, 0, 1, "", "strides"], [284, 0, 1, "", "subtract"], [752, 0, 1, "", "sum"], [582, 0, 1, "", "supports_inplace_updates"], [674, 0, 1, "", "svd"], [437, 0, 1, "", "svd_flip"], [675, 0, 1, "", "svdvals"], [698, 0, 1, "", "swapaxes"], [481, 0, 1, "", "take"], [482, 0, 1, "", "take_along_axis"], [285, 0, 1, "", "tan"], [286, 0, 1, "", "tanh"], [303, 0, 1, "", "tanhshrink"], [438, 0, 1, "", "tensor_train"], [676, 0, 1, "", "tensordot"], [677, 0, 1, "", "tensorsolve"], [304, 0, 1, "", "threshold"], [305, 0, 1, "", "thresholded_relu"], [699, 0, 1, "", "tile"], [209, 0, 1, "", "to_device"], [584, 0, 1, "", "to_list"], [586, 0, 1, "", "to_numpy"], [587, 0, 1, "", "to_scalar"], [483, 0, 1, "", "top_k"], [678, 0, 1, "", "trace"], [287, 0, 1, "", "trapz"], [140, 0, 1, "", "tril"], [322, 0, 1, "", "tril_indices"], [323, 0, 1, "", "trilu"], [484, 0, 1, "", "trim_zeros"], [141, 0, 1, "", "triu"], [142, 0, 1, "", "triu_indices"], [288, 0, 1, "", "trunc"], [289, 0, 1, "", "trunc_divide"], [439, 0, 1, "", "truncated_svd"], [440, 0, 1, "", "tt_matrix_to_tensor"], [441, 0, 1, "", "tucker"], [485, 0, 1, "", "unfold"], [736, 0, 1, "", "unique_all"], [486, 0, 1, "", "unique_consecutive"], [737, 0, 1, "", "unique_counts"], [738, 0, 1, "", "unique_inverse"], [739, 0, 1, "", "unique_values"], [501, 0, 1, "", "unravel_index"], [324, 0, 1, "", "unsorted_segment_mean"], [325, 0, 1, "", "unsorted_segment_min"], [326, 0, 1, "", "unsorted_segment_sum"], [700, 0, 1, "", "unstack"], [600, 0, 1, "", "value_is_nan"], [679, 0, 1, "", "vander"], [753, 0, 1, "", "var"], [680, 0, 1, "", "vecdot"], [681, 0, 1, "", "vector_norm"], [682, 0, 1, "", "vector_to_skew_symmetric_matrix"], [327, 0, 1, "", "vorbis_window"], [487, 0, 1, "", "vsplit"], [488, 0, 1, "", "vstack"], [735, 0, 1, "", "where"], [354, 0, 1, "", "xlogy"], [701, 0, 1, "", "zero_pad"], [144, 0, 1, "", "zeros_like"], [355, 0, 1, "", "zeta"]], "ivy.data_classes.array": [[46, 3, 0, "-", "activations"], [97, 3, 0, "-", "array"], [47, 3, 0, "-", "conversions"], [48, 3, 0, "-", "creation"], [49, 3, 0, "-", "data_type"], [50, 3, 0, "-", "device"], [51, 3, 0, "-", "elementwise"], [52, 3, 0, "-", "experimental"], [53, 3, 0, "-", "general"], [54, 3, 0, "-", "gradients"], [55, 3, 0, "-", "image"], [56, 3, 0, "-", "layers"], [57, 3, 0, "-", "linear_algebra"], [58, 3, 0, "-", "losses"], [59, 3, 0, "-", "manipulation"], [60, 3, 0, "-", "norms"], [61, 3, 0, "-", "random"], [62, 3, 0, "-", "searching"], [63, 3, 0, "-", "set"], [64, 3, 0, "-", "sorting"], [65, 3, 0, "-", "statistical"], [66, 3, 0, "-", "utility"], [67, 3, 0, "-", "wrapping"]], "ivy.data_classes.array.activations": [[46, 1, 1, "", "_ArrayWithActivations"]], "ivy.data_classes.array.activations._ArrayWithActivations": [[46, 4, 1, "", "_abc_impl"], [46, 0, 1, "", "gelu"], [46, 0, 1, "", "hardswish"], [46, 0, 1, "", "leaky_relu"], [46, 0, 1, "", "log_softmax"], [46, 0, 1, "", "mish"], [46, 0, 1, "", "relu"], [46, 0, 1, "", "sigmoid"], [46, 0, 1, "", "softmax"], [46, 0, 1, "", "softplus"]], "ivy.data_classes.array.array": [[97, 1, 1, "", "Array"]], "ivy.data_classes.array.array.Array": [[97, 5, 1, "", "T"], [97, 0, 1, "", "__abs__"], [97, 0, 1, "", "__add__"], [97, 0, 1, "", "__eq__"], [97, 0, 1, "", "__ge__"], [97, 0, 1, "", "__gt__"], [97, 0, 1, "", "__init__"], [97, 0, 1, "", "__le__"], [97, 0, 1, "", "__lt__"], [97, 0, 1, "", "__ne__"], [97, 0, 1, "", "__pow__"], [97, 0, 1, "", "__radd__"], [97, 0, 1, "", "__rrshift__"], [97, 0, 1, "", "__rshift__"], [97, 0, 1, "", "__rsub__"], [97, 0, 1, "", "__sub__"], [97, 0, 1, "", "__truediv__"], [97, 0, 1, "", "__xor__"], [97, 5, 1, "", "backend"], [97, 5, 1, "", "base"], [97, 5, 1, "", "data"], [97, 5, 1, "", "device"], [97, 5, 1, "", "dtype"], [97, 5, 1, "", "dynamic_backend"], [97, 5, 1, "", "imag"], [97, 5, 1, "", "itemsize"], [97, 5, 1, "", "mT"], [97, 5, 1, "", "ndim"], [97, 5, 1, "", "real"], [97, 5, 1, "", "shape"], [97, 5, 1, "", "size"], [97, 5, 1, "", "strides"]], "ivy.data_classes.array.conversions": [[47, 2, 1, "", "_array_to_new_backend"], [47, 2, 1, "", "_to_ivy"], [47, 2, 1, "", "_to_native"], [47, 2, 1, "", "_to_new_backend"], [47, 2, 1, "", "args_to_ivy"], [47, 2, 1, "", "args_to_native"], [47, 2, 1, "", "args_to_new_backend"], [47, 2, 1, "", "to_ivy"], [47, 2, 1, "", "to_native"], [47, 2, 1, "", "to_new_backend"]], "ivy.data_classes.array.creation": [[48, 1, 1, "", "_ArrayWithCreation"]], "ivy.data_classes.array.creation._ArrayWithCreation": [[48, 4, 1, "", "_abc_impl"], [48, 0, 1, "", "asarray"], [48, 0, 1, "", "copy_array"], [48, 0, 1, "", "empty_like"], [48, 0, 1, "", "from_dlpack"], [48, 0, 1, "", "full_like"], [48, 0, 1, "", "linspace"], [48, 0, 1, "", "logspace"], [48, 0, 1, "", "meshgrid"], [48, 0, 1, "", "native_array"], [48, 0, 1, "", "one_hot"], [48, 0, 1, "", "ones_like"], [48, 0, 1, "", "tril"], [48, 0, 1, "", "triu"], [48, 0, 1, "", "zeros_like"]], "ivy.data_classes.array.data_type": [[49, 1, 1, "", "_ArrayWithDataTypes"]], "ivy.data_classes.array.data_type._ArrayWithDataTypes": [[49, 4, 1, "", "_abc_impl"], [49, 0, 1, "", "astype"], [49, 0, 1, "", "broadcast_arrays"], [49, 0, 1, "", "broadcast_to"], [49, 0, 1, "", "can_cast"], [49, 0, 1, "", "dtype"], [49, 0, 1, "", "finfo"], [49, 0, 1, "", "iinfo"], [49, 0, 1, "", "is_bool_dtype"], [49, 0, 1, "", "is_float_dtype"], [49, 0, 1, "", "is_int_dtype"], [49, 0, 1, "", "is_uint_dtype"], [49, 0, 1, "", "result_type"]], "ivy.data_classes.array.device": [[50, 1, 1, "", "_ArrayWithDevice"]], "ivy.data_classes.array.device._ArrayWithDevice": [[50, 4, 1, "", "_abc_impl"], [50, 0, 1, "", "dev"], [50, 0, 1, "", "to_device"]], "ivy.data_classes.array.elementwise": [[51, 1, 1, "", "_ArrayWithElementwise"]], "ivy.data_classes.array.elementwise._ArrayWithElementwise": [[51, 4, 1, "", "_abc_impl"], [51, 0, 1, "", "abs"], [51, 0, 1, "", "acos"], [51, 0, 1, "", "acosh"], [51, 0, 1, "", "add"], [51, 0, 1, "", "angle"], [51, 0, 1, "", "asin"], [51, 0, 1, "", "asinh"], [51, 0, 1, "", "atan"], [51, 0, 1, "", "atan2"], [51, 0, 1, "", "atanh"], [51, 0, 1, "", "bitwise_and"], [51, 0, 1, "", "bitwise_invert"], [51, 0, 1, "", "bitwise_left_shift"], [51, 0, 1, "", "bitwise_or"], [51, 0, 1, "", "bitwise_right_shift"], [51, 0, 1, "", "bitwise_xor"], [51, 0, 1, "", "ceil"], [51, 0, 1, "", "cos"], [51, 0, 1, "", "cosh"], [51, 0, 1, "", "deg2rad"], [51, 0, 1, "", "divide"], [51, 0, 1, "", "equal"], [51, 0, 1, "", "erf"], [51, 0, 1, "", "exp"], [51, 0, 1, "", "exp2"], [51, 0, 1, "", "expm1"], [51, 0, 1, "", "floor"], [51, 0, 1, "", "floor_divide"], [51, 0, 1, "", "fmin"], [51, 0, 1, "", "gcd"], [51, 0, 1, "", "greater"], [51, 0, 1, "", "greater_equal"], [51, 0, 1, "", "imag"], [51, 0, 1, "", "isfinite"], [51, 0, 1, "", "isinf"], [51, 0, 1, "", "isnan"], [51, 0, 1, "", "isreal"], [51, 0, 1, "", "lcm"], [51, 0, 1, "", "less"], [51, 0, 1, "", "less_equal"], [51, 0, 1, "", "log"], [51, 0, 1, "", "log10"], [51, 0, 1, "", "log1p"], [51, 0, 1, "", "log2"], [51, 0, 1, "", "logaddexp"], [51, 0, 1, "", "logaddexp2"], [51, 0, 1, "", "logical_and"], [51, 0, 1, "", "logical_not"], [51, 0, 1, "", "logical_or"], [51, 0, 1, "", "logical_xor"], [51, 0, 1, "", "maximum"], [51, 0, 1, "", "minimum"], [51, 0, 1, "", "multiply"], [51, 0, 1, "", "nan_to_num"], [51, 0, 1, "", "negative"], [51, 0, 1, "", "not_equal"], [51, 0, 1, "", "positive"], [51, 0, 1, "", "pow"], [51, 0, 1, "", "rad2deg"], [51, 0, 1, "", "real"], [51, 0, 1, "", "reciprocal"], [51, 0, 1, "", "remainder"], [51, 0, 1, "", "round"], [51, 0, 1, "", "sign"], [51, 0, 1, "", "sin"], [51, 0, 1, "", "sinh"], [51, 0, 1, "", "sqrt"], [51, 0, 1, "", "square"], [51, 0, 1, "", "subtract"], [51, 0, 1, "", "tan"], [51, 0, 1, "", "tanh"], [51, 0, 1, "", "trapz"], [51, 0, 1, "", "trunc"], [51, 0, 1, "", "trunc_divide"]], "ivy.data_classes.array.experimental": [[52, 3, 0, "-", "activations"], [52, 3, 0, "-", "conversions"], [52, 3, 0, "-", "creation"], [52, 3, 0, "-", "data_type"], [52, 3, 0, "-", "device"], [52, 3, 0, "-", "elementwise"], [52, 3, 0, "-", "general"], [52, 3, 0, "-", "gradients"], [52, 3, 0, "-", "image"], [52, 3, 0, "-", "layers"], [52, 3, 0, "-", "linear_algebra"], [52, 3, 0, "-", "losses"], [52, 3, 0, "-", "manipulation"], [52, 3, 0, "-", "norms"], [52, 3, 0, "-", "random"], [52, 3, 0, "-", "searching"], [52, 3, 0, "-", "set"], [52, 3, 0, "-", "sorting"], [52, 3, 0, "-", "statistical"], [52, 3, 0, "-", "utility"]], "ivy.data_classes.array.experimental.activations": [[52, 1, 1, "", "_ArrayWithActivationsExperimental"]], "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "celu"], [52, 0, 1, "", "elu"], [52, 0, 1, "", "hardshrink"], [52, 0, 1, "", "hardtanh"], [52, 0, 1, "", "logit"], [52, 0, 1, "", "logsigmoid"], [52, 0, 1, "", "prelu"], [52, 0, 1, "", "relu6"], [52, 0, 1, "", "scaled_tanh"], [52, 0, 1, "", "selu"], [52, 0, 1, "", "silu"], [52, 0, 1, "", "softshrink"], [52, 0, 1, "", "tanhshrink"], [52, 0, 1, "", "threshold"], [52, 0, 1, "", "thresholded_relu"]], "ivy.data_classes.array.experimental.conversions": [[52, 1, 1, "", "_ArrayWithConversionsExperimental"]], "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.creation": [[52, 1, 1, "", "_ArrayWithCreationExperimental"], [52, 2, 1, "", "polyval"]], "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "blackman_window"], [52, 0, 1, "", "eye_like"], [52, 0, 1, "", "mel_weight_matrix"], [52, 0, 1, "", "trilu"], [52, 0, 1, "", "unsorted_segment_mean"], [52, 0, 1, "", "unsorted_segment_min"], [52, 0, 1, "", "unsorted_segment_sum"]], "ivy.data_classes.array.experimental.data_type": [[52, 1, 1, "", "_ArrayWithData_typeExperimental"]], "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.device": [[52, 1, 1, "", "_ArrayWithDeviceExperimental"]], "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.elementwise": [[52, 1, 1, "", "_ArrayWithElementWiseExperimental"]], "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "allclose"], [52, 0, 1, "", "amax"], [52, 0, 1, "", "amin"], [52, 0, 1, "", "binarizer"], [52, 0, 1, "", "conj"], [52, 0, 1, "", "copysign"], [52, 0, 1, "", "count_nonzero"], [52, 0, 1, "", "diff"], [52, 0, 1, "", "digamma"], [52, 0, 1, "", "erfc"], [52, 0, 1, "", "fix"], [52, 0, 1, "", "float_power"], [52, 0, 1, "", "fmax"], [52, 0, 1, "", "fmod"], [52, 0, 1, "", "frexp"], [52, 0, 1, "", "gradient"], [52, 0, 1, "", "hypot"], [52, 0, 1, "", "isclose"], [52, 0, 1, "", "ldexp"], [52, 0, 1, "", "lerp"], [52, 0, 1, "", "lgamma"], [52, 0, 1, "", "modf"], [52, 0, 1, "", "nansum"], [52, 0, 1, "", "nextafter"], [52, 0, 1, "", "signbit"], [52, 0, 1, "", "sinc"], [52, 0, 1, "", "sparsify_tensor"], [52, 0, 1, "", "xlogy"], [52, 0, 1, "", "zeta"]], "ivy.data_classes.array.experimental.general": [[52, 1, 1, "", "_ArrayWithGeneralExperimental"]], "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "reduce"]], "ivy.data_classes.array.experimental.gradients": [[52, 1, 1, "", "_ArrayWithGradientsExperimental"]], "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.image": [[52, 1, 1, "", "_ArrayWithImageExperimental"]], "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.layers": [[52, 1, 1, "", "_ArrayWithLayersExperimental"]], "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "adaptive_avg_pool1d"], [52, 0, 1, "", "adaptive_avg_pool2d"], [52, 0, 1, "", "adaptive_max_pool2d"], [52, 0, 1, "", "avg_pool1d"], [52, 0, 1, "", "avg_pool2d"], [52, 0, 1, "", "avg_pool3d"], [52, 0, 1, "", "dct"], [52, 0, 1, "", "dft"], [52, 0, 1, "", "embedding"], [52, 0, 1, "", "fft"], [52, 0, 1, "", "fft2"], [52, 0, 1, "", "idct"], [52, 0, 1, "", "ifft"], [52, 0, 1, "", "ifftn"], [52, 0, 1, "", "interpolate"], [52, 0, 1, "", "max_pool1d"], [52, 0, 1, "", "max_pool2d"], [52, 0, 1, "", "max_pool3d"], [52, 0, 1, "", "max_unpool1d"], [52, 0, 1, "", "reduce_window"], [52, 0, 1, "", "rfft"], [52, 0, 1, "", "rfftn"], [52, 0, 1, "", "sliding_window"], [52, 0, 1, "", "stft"]], "ivy.data_classes.array.experimental.linear_algebra": [[52, 1, 1, "", "_ArrayWithLinearAlgebraExperimental"]], "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "adjoint"], [52, 0, 1, "", "batched_outer"], [52, 0, 1, "", "cond"], [52, 0, 1, "", "diagflat"], [52, 0, 1, "", "dot"], [52, 0, 1, "", "eig"], [52, 0, 1, "", "eigh_tridiagonal"], [52, 0, 1, "", "eigvals"], [52, 0, 1, "", "general_inner_product"], [52, 0, 1, "", "higher_order_moment"], [52, 0, 1, "", "initialize_tucker"], [52, 0, 1, "", "kron"], [52, 0, 1, "", "make_svd_non_negative"], [52, 0, 1, "", "matrix_exp"], [52, 0, 1, "", "mode_dot"], [52, 0, 1, "", "multi_dot"], [52, 0, 1, "", "multi_mode_dot"], [52, 0, 1, "", "partial_tucker"], [52, 0, 1, "", "svd_flip"], [52, 0, 1, "", "tensor_train"], [52, 0, 1, "", "truncated_svd"], [52, 0, 1, "", "tt_matrix_to_tensor"], [52, 0, 1, "", "tucker"]], "ivy.data_classes.array.experimental.losses": [[52, 1, 1, "", "_ArrayWithLossesExperimental"]], "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "huber_loss"], [52, 0, 1, "", "kl_div"], [52, 0, 1, "", "l1_loss"], [52, 0, 1, "", "log_poisson_loss"], [52, 0, 1, "", "poisson_nll_loss"], [52, 0, 1, "", "smooth_l1_loss"], [52, 0, 1, "", "soft_margin_loss"]], "ivy.data_classes.array.experimental.manipulation": [[52, 1, 1, "", "_ArrayWithManipulationExperimental"]], "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "as_strided"], [52, 0, 1, "", "associative_scan"], [52, 0, 1, "", "atleast_1d"], [52, 0, 1, "", "atleast_2d"], [52, 0, 1, "", "atleast_3d"], [52, 0, 1, "", "column_stack"], [52, 0, 1, "", "concat_from_sequence"], [52, 0, 1, "", "dsplit"], [52, 0, 1, "", "dstack"], [52, 0, 1, "", "expand"], [52, 0, 1, "", "fill_diagonal"], [52, 0, 1, "", "flatten"], [52, 0, 1, "", "fliplr"], [52, 0, 1, "", "flipud"], [52, 0, 1, "", "fold"], [52, 0, 1, "", "heaviside"], [52, 0, 1, "", "hsplit"], [52, 0, 1, "", "hstack"], [52, 0, 1, "", "i0"], [52, 0, 1, "", "matricize"], [52, 0, 1, "", "moveaxis"], [52, 0, 1, "", "pad"], [52, 0, 1, "", "partial_fold"], [52, 0, 1, "", "partial_tensor_to_vec"], [52, 0, 1, "", "partial_unfold"], [52, 0, 1, "", "partial_vec_to_tensor"], [52, 0, 1, "", "put_along_axis"], [52, 0, 1, "", "rot90"], [52, 0, 1, "", "soft_thresholding"], [52, 0, 1, "", "take"], [52, 0, 1, "", "take_along_axis"], [52, 0, 1, "", "top_k"], [52, 0, 1, "", "trim_zeros"], [52, 0, 1, "", "unfold"], [52, 0, 1, "", "unique_consecutive"], [52, 0, 1, "", "vsplit"], [52, 0, 1, "", "vstack"]], "ivy.data_classes.array.experimental.norms": [[52, 1, 1, "", "_ArrayWithNormsExperimental"]], "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "batch_norm"], [52, 0, 1, "", "group_norm"], [52, 0, 1, "", "instance_norm"], [52, 0, 1, "", "l1_normalize"], [52, 0, 1, "", "l2_normalize"], [52, 0, 1, "", "lp_normalize"]], "ivy.data_classes.array.experimental.random": [[52, 1, 1, "", "_ArrayWithRandomExperimental"]], "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "bernoulli"], [52, 0, 1, "", "beta"], [52, 0, 1, "", "dirichlet"], [52, 0, 1, "", "gamma"], [52, 0, 1, "", "poisson"]], "ivy.data_classes.array.experimental.searching": [[52, 1, 1, "", "_ArrayWithSearchingExperimental"]], "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "unravel_index"]], "ivy.data_classes.array.experimental.set": [[52, 1, 1, "", "_ArrayWithSetExperimental"]], "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.sorting": [[52, 1, 1, "", "_ArrayWithSortingExperimental"]], "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "lexsort"]], "ivy.data_classes.array.experimental.statistical": [[52, 1, 1, "", "_ArrayWithStatisticalExperimental"]], "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "bincount"], [52, 0, 1, "", "corrcoef"], [52, 0, 1, "", "cov"], [52, 0, 1, "", "cummax"], [52, 0, 1, "", "cummin"], [52, 0, 1, "", "histogram"], [52, 0, 1, "", "igamma"], [52, 0, 1, "", "median"], [52, 0, 1, "", "nanmean"], [52, 0, 1, "", "nanmedian"], [52, 0, 1, "", "nanmin"], [52, 0, 1, "", "nanprod"], [52, 0, 1, "", "quantile"]], "ivy.data_classes.array.experimental.utility": [[52, 1, 1, "", "_ArrayWithUtilityExperimental"]], "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "optional_get_element"]], "ivy.data_classes.array.general": [[53, 1, 1, "", "_ArrayWithGeneral"]], "ivy.data_classes.array.general._ArrayWithGeneral": [[53, 4, 1, "", "_abc_impl"], [53, 0, 1, "", "all_equal"], [53, 0, 1, "", "array_equal"], [53, 0, 1, "", "assert_supports_inplace"], [53, 0, 1, "", "clip_matrix_norm"], [53, 0, 1, "", "clip_vector_norm"], [53, 0, 1, "", "default"], [53, 0, 1, "", "einops_rearrange"], [53, 0, 1, "", "einops_reduce"], [53, 0, 1, "", "einops_repeat"], [53, 0, 1, "", "exists"], [53, 0, 1, "", "fourier_encode"], [53, 0, 1, "", "gather"], [53, 0, 1, "", "gather_nd"], [53, 0, 1, "", "get_num_dims"], [53, 0, 1, "", "has_nans"], [53, 0, 1, "", "inplace_decrement"], [53, 0, 1, "", "inplace_increment"], [53, 0, 1, "", "inplace_update"], [53, 0, 1, "", "is_array"], [53, 0, 1, "", "is_ivy_array"], [53, 0, 1, "", "is_ivy_container"], [53, 0, 1, "", "is_native_array"], [53, 0, 1, "", "isin"], [53, 0, 1, "", "scatter_flat"], [53, 0, 1, "", "scatter_nd"], [53, 0, 1, "", "stable_divide"], [53, 0, 1, "", "stable_pow"], [53, 0, 1, "", "supports_inplace_updates"], [53, 0, 1, "", "to_file"], [53, 0, 1, "", "to_list"], [53, 0, 1, "", "to_numpy"], [53, 0, 1, "", "to_scalar"], [53, 0, 1, "", "value_is_nan"]], "ivy.data_classes.array.gradients": [[54, 1, 1, "", "_ArrayWithGradients"]], "ivy.data_classes.array.gradients._ArrayWithGradients": [[54, 4, 1, "", "_abc_impl"], [54, 0, 1, "", "adam_step"], [54, 0, 1, "", "adam_update"], [54, 0, 1, "", "gradient_descent_update"], [54, 0, 1, "", "lamb_update"], [54, 0, 1, "", "lars_update"], [54, 0, 1, "", "optimizer_update"], [54, 0, 1, "", "stop_gradient"]], "ivy.data_classes.array.image": [[55, 1, 1, "", "_ArrayWithImage"]], "ivy.data_classes.array.image._ArrayWithImage": [[55, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.layers": [[56, 1, 1, "", "_ArrayWithLayers"]], "ivy.data_classes.array.layers._ArrayWithLayers": [[56, 4, 1, "", "_abc_impl"], [56, 0, 1, "", "conv1d"], [56, 0, 1, "", "conv1d_transpose"], [56, 0, 1, "", "conv2d"], [56, 0, 1, "", "conv2d_transpose"], [56, 0, 1, "", "conv3d"], [56, 0, 1, "", "conv3d_transpose"], [56, 0, 1, "", "depthwise_conv2d"], [56, 0, 1, "", "dropout"], [56, 0, 1, "", "dropout1d"], [56, 0, 1, "", "dropout2d"], [56, 0, 1, "", "dropout3d"], [56, 0, 1, "", "linear"], [56, 0, 1, "", "lstm_update"], [56, 0, 1, "", "multi_head_attention"], [56, 0, 1, "", "scaled_dot_product_attention"]], "ivy.data_classes.array.linear_algebra": [[57, 1, 1, "", "_ArrayWithLinearAlgebra"]], "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra": [[57, 4, 1, "", "_abc_impl"], [57, 0, 1, "", "cholesky"], [57, 0, 1, "", "cross"], [57, 0, 1, "", "det"], [57, 0, 1, "", "diag"], [57, 0, 1, "", "diagonal"], [57, 0, 1, "", "eig"], [57, 0, 1, "", "eigh"], [57, 0, 1, "", "eigvalsh"], [57, 0, 1, "", "inner"], [57, 0, 1, "", "inv"], [57, 0, 1, "", "matmul"], [57, 0, 1, "", "matrix_norm"], [57, 0, 1, "", "matrix_power"], [57, 0, 1, "", "matrix_rank"], [57, 0, 1, "", "matrix_transpose"], [57, 0, 1, "", "outer"], [57, 0, 1, "", "pinv"], [57, 0, 1, "", "qr"], [57, 0, 1, "", "slogdet"], [57, 0, 1, "", "solve"], [57, 0, 1, "", "svd"], [57, 0, 1, "", "svdvals"], [57, 0, 1, "", "tensordot"], [57, 0, 1, "", "tensorsolve"], [57, 0, 1, "", "trace"], [57, 0, 1, "", "vander"], [57, 0, 1, "", "vecdot"], [57, 0, 1, "", "vector_norm"], [57, 0, 1, "", "vector_to_skew_symmetric_matrix"]], "ivy.data_classes.array.losses": [[58, 1, 1, "", "_ArrayWithLosses"]], "ivy.data_classes.array.losses._ArrayWithLosses": [[58, 4, 1, "", "_abc_impl"], [58, 0, 1, "", "binary_cross_entropy"], [58, 0, 1, "", "cross_entropy"], [58, 0, 1, "", "sparse_cross_entropy"]], "ivy.data_classes.array.manipulation": [[59, 1, 1, "", "_ArrayWithManipulation"]], "ivy.data_classes.array.manipulation._ArrayWithManipulation": [[59, 4, 1, "", "_abc_impl"], [59, 0, 1, "", "clip"], [59, 0, 1, "", "concat"], [59, 0, 1, "", "constant_pad"], [59, 0, 1, "", "expand_dims"], [59, 0, 1, "", "flip"], [59, 0, 1, "", "permute_dims"], [59, 0, 1, "", "repeat"], [59, 0, 1, "", "reshape"], [59, 0, 1, "", "roll"], [59, 0, 1, "", "split"], [59, 0, 1, "", "squeeze"], [59, 0, 1, "", "stack"], [59, 0, 1, "", "swapaxes"], [59, 0, 1, "", "tile"], [59, 0, 1, "", "unstack"], [59, 0, 1, "", "view"], [59, 0, 1, "", "zero_pad"]], "ivy.data_classes.array.norms": [[60, 1, 1, "", "_ArrayWithNorms"]], "ivy.data_classes.array.norms._ArrayWithNorms": [[60, 4, 1, "", "_abc_impl"], [60, 0, 1, "", "layer_norm"]], "ivy.data_classes.array.random": [[61, 1, 1, "", "_ArrayWithRandom"]], "ivy.data_classes.array.random._ArrayWithRandom": [[61, 4, 1, "", "_abc_impl"], [61, 0, 1, "", "multinomial"], [61, 0, 1, "", "randint"], [61, 0, 1, "", "random_normal"], [61, 0, 1, "", "random_uniform"], [61, 0, 1, "", "shuffle"]], "ivy.data_classes.array.searching": [[62, 1, 1, "", "_ArrayWithSearching"]], "ivy.data_classes.array.searching._ArrayWithSearching": [[62, 4, 1, "", "_abc_impl"], [62, 0, 1, "", "argmax"], [62, 0, 1, "", "argmin"], [62, 0, 1, "", "argwhere"], [62, 0, 1, "", "nonzero"], [62, 0, 1, "", "where"]], "ivy.data_classes.array.set": [[63, 1, 1, "", "_ArrayWithSet"]], "ivy.data_classes.array.set._ArrayWithSet": [[63, 4, 1, "", "_abc_impl"], [63, 0, 1, "", "unique_all"], [63, 0, 1, "", "unique_counts"], [63, 0, 1, "", "unique_inverse"], [63, 0, 1, "", "unique_values"]], "ivy.data_classes.array.sorting": [[64, 1, 1, "", "_ArrayWithSorting"]], "ivy.data_classes.array.sorting._ArrayWithSorting": [[64, 4, 1, "", "_abc_impl"], [64, 0, 1, "", "argsort"], [64, 0, 1, "", "msort"], [64, 0, 1, "", "searchsorted"], [64, 0, 1, "", "sort"]], "ivy.data_classes.array.statistical": [[65, 1, 1, "", "_ArrayWithStatistical"]], "ivy.data_classes.array.statistical._ArrayWithStatistical": [[65, 4, 1, "", "_abc_impl"], [65, 0, 1, "", "cumprod"], [65, 0, 1, "", "cumsum"], [65, 0, 1, "", "einsum"], [65, 0, 1, "", "max"], [65, 0, 1, "", "mean"], [65, 0, 1, "", "min"], [65, 0, 1, "", "prod"], [65, 0, 1, "", "std"], [65, 0, 1, "", "sum"], [65, 0, 1, "", "var"]], "ivy.data_classes.array.utility": [[66, 1, 1, "", "_ArrayWithUtility"]], "ivy.data_classes.array.utility._ArrayWithUtility": [[66, 4, 1, "", "_abc_impl"], [66, 0, 1, "", "all"], [66, 0, 1, "", "any"]], "ivy.data_classes.array.wrapping": [[67, 2, 1, "", "_wrap_function"], [67, 2, 1, "", "add_ivy_array_instance_methods"]], "ivy.data_classes.container": [[68, 3, 0, "-", "activations"], [69, 3, 0, "-", "base"], [98, 3, 0, "-", "container"], [70, 3, 0, "-", "conversions"], [71, 3, 0, "-", "creation"], [72, 3, 0, "-", "data_type"], [73, 3, 0, "-", "device"], [74, 3, 0, "-", "elementwise"], [75, 3, 0, "-", "experimental"], [76, 3, 0, "-", "general"], [77, 3, 0, "-", "gradients"], [78, 3, 0, "-", "image"], [79, 3, 0, "-", "layers"], [80, 3, 0, "-", "linear_algebra"], [81, 3, 0, "-", "losses"], [82, 3, 0, "-", "manipulation"], [83, 3, 0, "-", "norms"], [84, 3, 0, "-", "random"], [85, 3, 0, "-", "searching"], [86, 3, 0, "-", "set"], [87, 3, 0, "-", "sorting"], [88, 3, 0, "-", "statistical"], [89, 3, 0, "-", "utility"], [90, 3, 0, "-", "wrapping"]], "ivy.data_classes.container.activations": [[68, 1, 1, "", "_ContainerWithActivations"]], "ivy.data_classes.container.activations._ContainerWithActivations": [[68, 4, 1, "", "_abc_impl"], [68, 0, 1, "", "_static_gelu"], [68, 0, 1, "", "_static_hardswish"], [68, 0, 1, "", "_static_leaky_relu"], [68, 0, 1, "", "_static_log_softmax"], [68, 0, 1, "", "_static_mish"], [68, 0, 1, "", "_static_relu"], [68, 0, 1, "", "_static_sigmoid"], [68, 0, 1, "", "_static_softmax"], [68, 0, 1, "", "_static_softplus"], [68, 0, 1, "", "gelu"], [68, 0, 1, "", "hardswish"], [68, 0, 1, "", "leaky_relu"], [68, 0, 1, "", "log_softmax"], [68, 0, 1, "", "mish"], [68, 0, 1, "", "relu"], [68, 0, 1, "", "sigmoid"], [68, 0, 1, "", "softmax"], [68, 0, 1, "", "softplus"]], "ivy.data_classes.container.base": [[69, 1, 1, "", "ContainerBase"], [69, 2, 1, "", "_is_jsonable"], [69, 2, 1, "", "_repr"]], "ivy.data_classes.container.base.ContainerBase": [[69, 0, 1, "", "__getitem__"], [69, 0, 1, "", "__init__"], [69, 0, 1, "", "__setitem__"], [69, 4, 1, "", "_abc_impl"], [69, 0, 1, "", "_cont_at_key_chains_input_as_dict"], [69, 0, 1, "", "_cont_at_key_chains_input_as_seq"], [69, 0, 1, "", "_cont_call_static_method_with_flexible_args"], [69, 0, 1, "", "_cont_concat_unify"], [69, 0, 1, "", "_cont_get_dev"], [69, 0, 1, "", "_cont_get_dtype"], [69, 0, 1, "", "_cont_get_shape"], [69, 0, 1, "", "_cont_get_shapes"], [69, 5, 1, "", "_cont_ivy"], [69, 0, 1, "", "_cont_mean_unify"], [69, 0, 1, "", "_cont_prune_key_chains_input_as_dict"], [69, 0, 1, "", "_cont_prune_key_chains_input_as_seq"], [69, 0, 1, "", "_cont_slice_keys"], [69, 0, 1, "", "_cont_sum_unify"], [69, 0, 1, "", "_get_queue_item"], [69, 0, 1, "", "cont_all_false"], [69, 0, 1, "", "cont_all_key_chains"], [69, 0, 1, "", "cont_all_true"], [69, 0, 1, "", "cont_as_bools"], [69, 0, 1, "", "cont_assert_contains_sub_container"], [69, 0, 1, "", "cont_assert_contains_sub_structure"], [69, 0, 1, "", "cont_assert_identical"], [69, 0, 1, "", "cont_assert_identical_structure"], [69, 0, 1, "", "cont_at_key_chain"], [69, 0, 1, "", "cont_at_key_chains"], [69, 0, 1, "", "cont_at_keys"], [69, 0, 1, "", "cont_combine"], [69, 0, 1, "", "cont_common_key_chains"], [69, 5, 1, "", "cont_config"], [69, 0, 1, "", "cont_contains_sub_container"], [69, 0, 1, "", "cont_contains_sub_structure"], [69, 0, 1, "", "cont_copy"], [69, 0, 1, "", "cont_create_if_absent"], [69, 0, 1, "", "cont_cutoff_at_depth"], [69, 0, 1, "", "cont_cutoff_at_height"], [69, 0, 1, "", "cont_deep_copy"], [69, 5, 1, "", "cont_dev"], [69, 5, 1, "", "cont_dev_str"], [69, 0, 1, "", "cont_diff"], [69, 5, 1, "", "cont_dtype"], [69, 0, 1, "", "cont_duplicate_array_keychains"], [69, 0, 1, "", "cont_find_sub_container"], [69, 0, 1, "", "cont_find_sub_structure"], [69, 0, 1, "", "cont_flatten_key_chain"], [69, 0, 1, "", "cont_flatten_key_chains"], [69, 0, 1, "", "cont_format_key_chains"], [69, 0, 1, "", "cont_from_disk_as_hdf5"], [69, 0, 1, "", "cont_from_disk_as_json"], [69, 0, 1, "", "cont_from_disk_as_pickled"], [69, 0, 1, "", "cont_from_flat_list"], [69, 0, 1, "", "cont_handle_inplace"], [69, 0, 1, "", "cont_has_key"], [69, 0, 1, "", "cont_has_key_chain"], [69, 0, 1, "", "cont_identical"], [69, 0, 1, "", "cont_identical_array_shapes"], [69, 0, 1, "", "cont_identical_configs"], [69, 0, 1, "", "cont_identical_structure"], [69, 0, 1, "", "cont_if_exists"], [69, 0, 1, "", "cont_inplace_update"], [69, 5, 1, "", "cont_ivy"], [69, 0, 1, "", "cont_key_chains_containing"], [69, 0, 1, "", "cont_list_join"], [69, 0, 1, "", "cont_list_stack"], [69, 0, 1, "", "cont_load"], [69, 0, 1, "", "cont_map"], [69, 0, 1, "", "cont_map_sub_conts"], [69, 5, 1, "", "cont_max_depth"], [69, 0, 1, "", "cont_multi_map"], [69, 0, 1, "", "cont_multi_map_in_function"], [69, 0, 1, "", "cont_num_arrays"], [69, 0, 1, "", "cont_overwrite_at_key_chain"], [69, 0, 1, "", "cont_overwrite_at_key_chains"], [69, 0, 1, "", "cont_prune_empty"], [69, 0, 1, "", "cont_prune_key_chain"], [69, 0, 1, "", "cont_prune_key_chains"], [69, 0, 1, "", "cont_prune_key_from_key_chains"], [69, 0, 1, "", "cont_prune_keys"], [69, 0, 1, "", "cont_prune_keys_from_key_chains"], [69, 0, 1, "", "cont_reduce"], [69, 0, 1, "", "cont_remove_key_length_limit"], [69, 0, 1, "", "cont_remove_print_limit"], [69, 0, 1, "", "cont_reshape_like"], [69, 0, 1, "", "cont_restructure"], [69, 0, 1, "", "cont_restructure_key_chains"], [69, 0, 1, "", "cont_save"], [69, 0, 1, "", "cont_set_at_key_chain"], [69, 0, 1, "", "cont_set_at_key_chains"], [69, 0, 1, "", "cont_set_at_keys"], [69, 5, 1, "", "cont_shape"], [69, 5, 1, "", "cont_shapes"], [69, 0, 1, "", "cont_show"], [69, 0, 1, "", "cont_show_sub_container"], [69, 0, 1, "", "cont_size_ordered_arrays"], [69, 0, 1, "", "cont_slice_keys"], [69, 0, 1, "", "cont_slice_via_key"], [69, 0, 1, "", "cont_sort_by_key"], [69, 0, 1, "", "cont_structural_diff"], [69, 0, 1, "", "cont_to_dict"], [69, 0, 1, "", "cont_to_disk_as_hdf5"], [69, 0, 1, "", "cont_to_disk_as_json"], [69, 0, 1, "", "cont_to_disk_as_pickled"], [69, 0, 1, "", "cont_to_flat_list"], [69, 0, 1, "", "cont_to_iterator"], [69, 0, 1, "", "cont_to_iterator_keys"], [69, 0, 1, "", "cont_to_iterator_values"], [69, 0, 1, "", "cont_to_jsonable"], [69, 0, 1, "", "cont_to_nested_list"], [69, 0, 1, "", "cont_to_raw"], [69, 0, 1, "", "cont_trim_key"], [69, 0, 1, "", "cont_try_kc"], [69, 0, 1, "", "cont_unify"], [69, 0, 1, "", "cont_unstack_conts"], [69, 0, 1, "", "cont_update_config"], [69, 0, 1, "", "cont_with_default_key_color"], [69, 0, 1, "", "cont_with_entries_as_lists"], [69, 0, 1, "", "cont_with_ivy_backend"], [69, 0, 1, "", "cont_with_key_length_limit"], [69, 0, 1, "", "cont_with_print_indent"], [69, 0, 1, "", "cont_with_print_limit"], [69, 0, 1, "", "cont_with_print_line_spacing"], [69, 5, 1, "", "dynamic_backend"], [69, 0, 1, "", "h5_file_size"], [69, 0, 1, "", "shuffle_h5_file"], [69, 0, 1, "", "split_conts"]], "ivy.data_classes.container.container": [[98, 1, 1, "", "Container"]], "ivy.data_classes.container.container.Container": [[98, 0, 1, "", "__abs__"], [98, 0, 1, "", "__add__"], [98, 0, 1, "", "__eq__"], [98, 0, 1, "", "__ge__"], [98, 0, 1, "", "__gt__"], [98, 0, 1, "", "__init__"], [98, 0, 1, "", "__le__"], [98, 0, 1, "", "__lt__"], [98, 0, 1, "", "__ne__"], [98, 0, 1, "", "__pow__"], [98, 0, 1, "", "__radd__"], [98, 0, 1, "", "__rrshift__"], [98, 0, 1, "", "__rshift__"], [98, 0, 1, "", "__rsub__"], [98, 0, 1, "", "__sub__"], [98, 0, 1, "", "__truediv__"], [98, 0, 1, "", "__xor__"]], "ivy.data_classes.container.conversions": [[70, 1, 1, "", "_ContainerWithConversions"]], "ivy.data_classes.container.conversions._ContainerWithConversions": [[70, 4, 1, "", "_abc_impl"], [70, 0, 1, "", "_static_to_ivy"], [70, 0, 1, "", "_static_to_native"], [70, 0, 1, "", "to_ivy"], [70, 0, 1, "", "to_native"]], "ivy.data_classes.container.creation": [[71, 1, 1, "", "_ContainerWithCreation"]], "ivy.data_classes.container.creation._ContainerWithCreation": [[71, 4, 1, "", "_abc_impl"], [71, 0, 1, "", "_static_arange"], [71, 0, 1, "", "_static_asarray"], [71, 0, 1, "", "_static_copy_array"], [71, 0, 1, "", "_static_empty"], [71, 0, 1, "", "_static_empty_like"], [71, 0, 1, "", "_static_eye"], [71, 0, 1, "", "_static_from_dlpack"], [71, 0, 1, "", "_static_full"], [71, 0, 1, "", "_static_full_like"], [71, 0, 1, "", "_static_linspace"], [71, 0, 1, "", "_static_logspace"], [71, 0, 1, "", "_static_meshgrid"], [71, 0, 1, "", "_static_native_array"], [71, 0, 1, "", "_static_one_hot"], [71, 0, 1, "", "_static_ones"], [71, 0, 1, "", "_static_ones_like"], [71, 0, 1, "", "_static_tril"], [71, 0, 1, "", "_static_triu"], [71, 0, 1, "", "_static_zeros"], [71, 0, 1, "", "_static_zeros_like"], [71, 0, 1, "", "asarray"], [71, 0, 1, "", "copy_array"], [71, 0, 1, "", "empty_like"], [71, 0, 1, "", "from_dlpack"], [71, 0, 1, "", "frombuffer"], [71, 0, 1, "", "full_like"], [71, 0, 1, "", "linspace"], [71, 0, 1, "", "logspace"], [71, 0, 1, "", "meshgrid"], [71, 0, 1, "", "native_array"], [71, 0, 1, "", "one_hot"], [71, 0, 1, "", "ones_like"], [71, 0, 1, "", "static_frombuffer"], [71, 0, 1, "", "static_triu_indices"], [71, 0, 1, "", "tril"], [71, 0, 1, "", "triu"], [71, 0, 1, "", "triu_indices"], [71, 0, 1, "", "zeros_like"]], "ivy.data_classes.container.data_type": [[72, 1, 1, "", "_ContainerWithDataTypes"]], "ivy.data_classes.container.data_type._ContainerWithDataTypes": [[72, 4, 1, "", "_abc_impl"], [72, 0, 1, "", "_static_astype"], [72, 0, 1, "", "_static_broadcast_arrays"], [72, 0, 1, "", "_static_broadcast_to"], [72, 0, 1, "", "_static_can_cast"], [72, 0, 1, "", "_static_default_complex_dtype"], [72, 0, 1, "", "_static_default_float_dtype"], [72, 0, 1, "", "_static_dtype"], [72, 0, 1, "", "_static_finfo"], [72, 0, 1, "", "_static_function_supported_dtypes"], [72, 0, 1, "", "_static_function_unsupported_dtypes"], [72, 0, 1, "", "_static_iinfo"], [72, 0, 1, "", "_static_is_bool_dtype"], [72, 0, 1, "", "_static_is_complex_dtype"], [72, 0, 1, "", "_static_is_float_dtype"], [72, 0, 1, "", "_static_is_int_dtype"], [72, 0, 1, "", "_static_is_uint_dtype"], [72, 0, 1, "", "_static_result_type"], [72, 0, 1, "", "astype"], [72, 0, 1, "", "broadcast_arrays"], [72, 0, 1, "", "broadcast_to"], [72, 0, 1, "", "can_cast"], [72, 0, 1, "", "dtype"], [72, 0, 1, "", "finfo"], [72, 0, 1, "", "iinfo"], [72, 0, 1, "", "is_bool_dtype"], [72, 0, 1, "", "is_complex_dtype"], [72, 0, 1, "", "is_float_dtype"], [72, 0, 1, "", "is_int_dtype"], [72, 0, 1, "", "is_uint_dtype"], [72, 0, 1, "", "result_type"]], "ivy.data_classes.container.device": [[73, 1, 1, "", "_ContainerWithDevice"]], "ivy.data_classes.container.device._ContainerWithDevice": [[73, 4, 1, "", "_abc_impl"], [73, 0, 1, "", "_static_dev"], [73, 0, 1, "", "_static_to_device"], [73, 0, 1, "", "dev"], [73, 0, 1, "", "to_device"]], "ivy.data_classes.container.elementwise": [[74, 1, 1, "", "_ContainerWithElementwise"]], "ivy.data_classes.container.elementwise._ContainerWithElementwise": [[74, 4, 1, "", "_abc_impl"], [74, 0, 1, "", "_static_abs"], [74, 0, 1, "", "_static_acos"], [74, 0, 1, "", "_static_acosh"], [74, 0, 1, "", "_static_add"], [74, 0, 1, "", "_static_asin"], [74, 0, 1, "", "_static_asinh"], [74, 0, 1, "", "_static_atan"], [74, 0, 1, "", "_static_atan2"], [74, 0, 1, "", "_static_atanh"], [74, 0, 1, "", "_static_bitwise_and"], [74, 0, 1, "", "_static_bitwise_invert"], [74, 0, 1, "", "_static_bitwise_left_shift"], [74, 0, 1, "", "_static_bitwise_or"], [74, 0, 1, "", "_static_bitwise_right_shift"], [74, 0, 1, "", "_static_bitwise_xor"], [74, 0, 1, "", "_static_ceil"], [74, 0, 1, "", "_static_cos"], [74, 0, 1, "", "_static_cosh"], [74, 0, 1, "", "_static_deg2rad"], [74, 0, 1, "", "_static_divide"], [74, 0, 1, "", "_static_equal"], [74, 0, 1, "", "_static_erf"], [74, 0, 1, "", "_static_exp"], [74, 0, 1, "", "_static_expm1"], [74, 0, 1, "", "_static_floor"], [74, 0, 1, "", "_static_floor_divide"], [74, 0, 1, "", "_static_greater"], [74, 0, 1, "", "_static_greater_equal"], [74, 0, 1, "", "_static_isfinite"], [74, 0, 1, "", "_static_isinf"], [74, 0, 1, "", "_static_isnan"], [74, 0, 1, "", "_static_isreal"], [74, 0, 1, "", "_static_lcm"], [74, 0, 1, "", "_static_less"], [74, 0, 1, "", "_static_less_equal"], [74, 0, 1, "", "_static_log"], [74, 0, 1, "", "_static_log10"], [74, 0, 1, "", "_static_log1p"], [74, 0, 1, "", "_static_log2"], [74, 0, 1, "", "_static_logaddexp"], [74, 0, 1, "", "_static_logical_and"], [74, 0, 1, "", "_static_logical_not"], [74, 0, 1, "", "_static_logical_or"], [74, 0, 1, "", "_static_logical_xor"], [74, 0, 1, "", "_static_maximum"], [74, 0, 1, "", "_static_minimum"], [74, 0, 1, "", "_static_multiply"], [74, 0, 1, "", "_static_negative"], [74, 0, 1, "", "_static_not_equal"], [74, 0, 1, "", "_static_positive"], [74, 0, 1, "", "_static_pow"], [74, 0, 1, "", "_static_rad2deg"], [74, 0, 1, "", "_static_reciprocal"], [74, 0, 1, "", "_static_remainder"], [74, 0, 1, "", "_static_round"], [74, 0, 1, "", "_static_sign"], [74, 0, 1, "", "_static_sin"], [74, 0, 1, "", "_static_sinh"], [74, 0, 1, "", "_static_sqrt"], [74, 0, 1, "", "_static_square"], [74, 0, 1, "", "_static_subtract"], [74, 0, 1, "", "_static_tan"], [74, 0, 1, "", "_static_tanh"], [74, 0, 1, "", "_static_trapz"], [74, 0, 1, "", "_static_trunc"], [74, 0, 1, "", "_static_trunc_divide"], [74, 0, 1, "", "abs"], [74, 0, 1, "", "acos"], [74, 0, 1, "", "acosh"], [74, 0, 1, "", "add"], [74, 0, 1, "", "angle"], [74, 0, 1, "", "asin"], [74, 0, 1, "", "asinh"], [74, 0, 1, "", "atan"], [74, 0, 1, "", "atan2"], [74, 0, 1, "", "atanh"], [74, 0, 1, "", "bitwise_and"], [74, 0, 1, "", "bitwise_invert"], [74, 0, 1, "", "bitwise_left_shift"], [74, 0, 1, "", "bitwise_or"], [74, 0, 1, "", "bitwise_right_shift"], [74, 0, 1, "", "bitwise_xor"], [74, 0, 1, "", "ceil"], [74, 0, 1, "", "cos"], [74, 0, 1, "", "cosh"], [74, 0, 1, "", "deg2rad"], [74, 0, 1, "", "divide"], [74, 0, 1, "", "equal"], [74, 0, 1, "", "erf"], [74, 0, 1, "", "exp"], [74, 0, 1, "", "exp2"], [74, 0, 1, "", "expm1"], [74, 0, 1, "", "floor"], [74, 0, 1, "", "floor_divide"], [74, 0, 1, "", "fmin"], [74, 0, 1, "", "gcd"], [74, 0, 1, "", "greater"], [74, 0, 1, "", "greater_equal"], [74, 0, 1, "", "imag"], [74, 0, 1, "", "isfinite"], [74, 0, 1, "", "isinf"], [74, 0, 1, "", "isnan"], [74, 0, 1, "", "isreal"], [74, 0, 1, "", "lcm"], [74, 0, 1, "", "less"], [74, 0, 1, "", "less_equal"], [74, 0, 1, "", "log"], [74, 0, 1, "", "log10"], [74, 0, 1, "", "log1p"], [74, 0, 1, "", "log2"], [74, 0, 1, "", "logaddexp"], [74, 0, 1, "", "logaddexp2"], [74, 0, 1, "", "logical_and"], [74, 0, 1, "", "logical_not"], [74, 0, 1, "", "logical_or"], [74, 0, 1, "", "logical_xor"], [74, 0, 1, "", "maximum"], [74, 0, 1, "", "minimum"], [74, 0, 1, "", "multiply"], [74, 0, 1, "", "nan_to_num"], [74, 0, 1, "", "negative"], [74, 0, 1, "", "not_equal"], [74, 0, 1, "", "positive"], [74, 0, 1, "", "pow"], [74, 0, 1, "", "rad2deg"], [74, 0, 1, "", "real"], [74, 0, 1, "", "reciprocal"], [74, 0, 1, "", "remainder"], [74, 0, 1, "", "round"], [74, 0, 1, "", "sign"], [74, 0, 1, "", "sin"], [74, 0, 1, "", "sinh"], [74, 0, 1, "", "sqrt"], [74, 0, 1, "", "square"], [74, 0, 1, "", "static_angle"], [74, 0, 1, "", "static_exp2"], [74, 0, 1, "", "static_fmin"], [74, 0, 1, "", "static_gcd"], [74, 0, 1, "", "static_imag"], [74, 0, 1, "", "static_logaddexp2"], [74, 0, 1, "", "static_nan_to_num"], [74, 0, 1, "", "static_real"], [74, 0, 1, "", "subtract"], [74, 0, 1, "", "tan"], [74, 0, 1, "", "tanh"], [74, 0, 1, "", "trapz"], [74, 0, 1, "", "trunc"], [74, 0, 1, "", "trunc_divide"]], "ivy.data_classes.container.experimental": [[75, 3, 0, "-", "activations"], [75, 3, 0, "-", "conversions"], [75, 3, 0, "-", "creation"], [75, 3, 0, "-", "data_type"], [75, 3, 0, "-", "device"], [75, 3, 0, "-", "elementwise"], [75, 3, 0, "-", "general"], [75, 3, 0, "-", "gradients"], [75, 3, 0, "-", "image"], [75, 3, 0, "-", "layers"], [75, 3, 0, "-", "linear_algebra"], [75, 3, 0, "-", "losses"], [75, 3, 0, "-", "manipulation"], [75, 3, 0, "-", "norms"], [75, 3, 0, "-", "random"], [75, 3, 0, "-", "searching"], [75, 3, 0, "-", "set"], [75, 3, 0, "-", "sorting"], [75, 3, 0, "-", "statistical"], [75, 3, 0, "-", "utility"]], "ivy.data_classes.container.experimental.activations": [[75, 1, 1, "", "_ContainerWithActivationExperimental"]], "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_celu"], [75, 0, 1, "", "_static_elu"], [75, 0, 1, "", "_static_hardshrink"], [75, 0, 1, "", "_static_hardtanh"], [75, 0, 1, "", "_static_scaled_tanh"], [75, 0, 1, "", "_static_silu"], [75, 0, 1, "", "_static_softshrink"], [75, 0, 1, "", "_static_tanhshrink"], [75, 0, 1, "", "_static_threshold"], [75, 0, 1, "", "celu"], [75, 0, 1, "", "elu"], [75, 0, 1, "", "hardshrink"], [75, 0, 1, "", "hardtanh"], [75, 0, 1, "", "logit"], [75, 0, 1, "", "logsigmoid"], [75, 0, 1, "", "prelu"], [75, 0, 1, "", "relu6"], [75, 0, 1, "", "scaled_tanh"], [75, 0, 1, "", "selu"], [75, 0, 1, "", "silu"], [75, 0, 1, "", "softshrink"], [75, 0, 1, "", "static_logit"], [75, 0, 1, "", "static_logsigmoid"], [75, 0, 1, "", "static_prelu"], [75, 0, 1, "", "static_relu6"], [75, 0, 1, "", "static_selu"], [75, 0, 1, "", "static_thresholded_relu"], [75, 0, 1, "", "tanhshrink"], [75, 0, 1, "", "threshold"], [75, 0, 1, "", "thresholded_relu"]], "ivy.data_classes.container.experimental.conversions": [[75, 1, 1, "", "_ContainerWithConversionExperimental"]], "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.creation": [[75, 1, 1, "", "_ContainerWithCreationExperimental"]], "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_trilu"], [75, 0, 1, "", "blackman_window"], [75, 0, 1, "", "eye_like"], [75, 0, 1, "", "hamming_window"], [75, 0, 1, "", "hann_window"], [75, 0, 1, "", "kaiser_bessel_derived_window"], [75, 0, 1, "", "kaiser_window"], [75, 0, 1, "", "mel_weight_matrix"], [75, 0, 1, "", "polyval"], [75, 0, 1, "", "static_blackman_window"], [75, 0, 1, "", "static_eye_like"], [75, 0, 1, "", "static_hamming_window"], [75, 0, 1, "", "static_hann_window"], [75, 0, 1, "", "static_kaiser_bessel_derived_window"], [75, 0, 1, "", "static_kaiser_window"], [75, 0, 1, "", "static_mel_weight_matrix"], [75, 0, 1, "", "static_polyval"], [75, 0, 1, "", "static_tril_indices"], [75, 0, 1, "", "static_unsorted_segment_mean"], [75, 0, 1, "", "static_unsorted_segment_min"], [75, 0, 1, "", "static_unsorted_segment_sum"], [75, 0, 1, "", "static_vorbis_window"], [75, 0, 1, "", "tril_indices"], [75, 0, 1, "", "trilu"], [75, 0, 1, "", "unsorted_segment_mean"], [75, 0, 1, "", "unsorted_segment_min"], [75, 0, 1, "", "unsorted_segment_sum"], [75, 0, 1, "", "vorbis_window"]], "ivy.data_classes.container.experimental.data_type": [[75, 1, 1, "", "_ContainerWithData_typeExperimental"]], "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.device": [[75, 1, 1, "", "_ContainerWithDeviceExperimental"]], "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.elementwise": [[75, 1, 1, "", "_ContainerWithElementWiseExperimental"]], "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "allclose"], [75, 0, 1, "", "amax"], [75, 0, 1, "", "amin"], [75, 0, 1, "", "binarizer"], [75, 0, 1, "", "conj"], [75, 0, 1, "", "copysign"], [75, 0, 1, "", "count_nonzero"], [75, 0, 1, "", "diff"], [75, 0, 1, "", "digamma"], [75, 0, 1, "", "erfc"], [75, 0, 1, "", "fix"], [75, 0, 1, "", "float_power"], [75, 0, 1, "", "fmax"], [75, 0, 1, "", "fmod"], [75, 0, 1, "", "frexp"], [75, 0, 1, "", "gradient"], [75, 0, 1, "", "hypot"], [75, 0, 1, "", "isclose"], [75, 0, 1, "", "ldexp"], [75, 0, 1, "", "lerp"], [75, 0, 1, "", "modf"], [75, 0, 1, "", "nansum"], [75, 0, 1, "", "nextafter"], [75, 0, 1, "", "signbit"], [75, 0, 1, "", "sinc"], [75, 0, 1, "", "sparsify_tensor"], [75, 0, 1, "", "static_allclose"], [75, 0, 1, "", "static_amax"], [75, 0, 1, "", "static_amin"], [75, 0, 1, "", "static_binarizer"], [75, 0, 1, "", "static_conj"], [75, 0, 1, "", "static_copysign"], [75, 0, 1, "", "static_count_nonzero"], [75, 0, 1, "", "static_diff"], [75, 0, 1, "", "static_digamma"], [75, 0, 1, "", "static_erfc"], [75, 0, 1, "", "static_fix"], [75, 0, 1, "", "static_float_power"], [75, 0, 1, "", "static_fmax"], [75, 0, 1, "", "static_fmod"], [75, 0, 1, "", "static_frexp"], [75, 0, 1, "", "static_gradient"], [75, 0, 1, "", "static_hypot"], [75, 0, 1, "", "static_isclose"], [75, 0, 1, "", "static_ldexp"], [75, 0, 1, "", "static_lerp"], [75, 0, 1, "", "static_modf"], [75, 0, 1, "", "static_nansum"], [75, 0, 1, "", "static_nextafter"], [75, 0, 1, "", "static_signbit"], [75, 0, 1, "", "static_sinc"], [75, 0, 1, "", "static_sparsify_tensor"], [75, 0, 1, "", "static_xlogy"], [75, 0, 1, "", "static_zeta"], [75, 0, 1, "", "xlogy"], [75, 0, 1, "", "zeta"]], "ivy.data_classes.container.experimental.general": [[75, 1, 1, "", "_ContainerWithGeneralExperimental"]], "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_reduce"], [75, 0, 1, "", "reduce"]], "ivy.data_classes.container.experimental.gradients": [[75, 1, 1, "", "_ContainerWithGradientsExperimental"]], "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.image": [[75, 1, 1, "", "_ContainerWithImageExperimental"]], "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.layers": [[75, 1, 1, "", "_ContainerWithLayersExperimental"]], "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_fft"], [75, 0, 1, "", "_static_sliding_window"], [75, 0, 1, "", "adaptive_avg_pool1d"], [75, 0, 1, "", "adaptive_avg_pool2d"], [75, 0, 1, "", "adaptive_max_pool2d"], [75, 0, 1, "", "avg_pool1d"], [75, 0, 1, "", "avg_pool2d"], [75, 0, 1, "", "avg_pool3d"], [75, 0, 1, "", "dct"], [75, 0, 1, "", "dft"], [75, 0, 1, "", "embedding"], [75, 0, 1, "", "fft"], [75, 0, 1, "", "idct"], [75, 0, 1, "", "ifft"], [75, 0, 1, "", "ifftn"], [75, 0, 1, "", "interpolate"], [75, 0, 1, "", "max_pool1d"], [75, 0, 1, "", "max_pool2d"], [75, 0, 1, "", "max_pool3d"], [75, 0, 1, "", "max_unpool1d"], [75, 0, 1, "", "rfft"], [75, 0, 1, "", "rfftn"], [75, 0, 1, "", "sliding_window"], [75, 0, 1, "", "static_adaptive_avg_pool1d"], [75, 0, 1, "", "static_adaptive_avg_pool2d"], [75, 0, 1, "", "static_adaptive_max_pool2d"], [75, 0, 1, "", "static_avg_pool1d"], [75, 0, 1, "", "static_avg_pool2d"], [75, 0, 1, "", "static_avg_pool3d"], [75, 0, 1, "", "static_dct"], [75, 0, 1, "", "static_dft"], [75, 0, 1, "", "static_embedding"], [75, 0, 1, "", "static_idct"], [75, 0, 1, "", "static_ifft"], [75, 0, 1, "", "static_ifftn"], [75, 0, 1, "", "static_interpolate"], [75, 0, 1, "", "static_max_pool1d"], [75, 0, 1, "", "static_max_pool2d"], [75, 0, 1, "", "static_max_pool3d"], [75, 0, 1, "", "static_max_unpool1d"], [75, 0, 1, "", "static_rfft"], [75, 0, 1, "", "static_rfftn"], [75, 0, 1, "", "static_rnn"], [75, 0, 1, "", "static_stft"], [75, 0, 1, "", "stft"]], "ivy.data_classes.container.experimental.linear_algebra": [[75, 1, 1, "", "_ContainerWithLinearAlgebraExperimental"]], "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "adjoint"], [75, 0, 1, "", "batched_outer"], [75, 0, 1, "", "cond"], [75, 0, 1, "", "diagflat"], [75, 0, 1, "", "dot"], [75, 0, 1, "", "eig"], [75, 0, 1, "", "eigh_tridiagonal"], [75, 0, 1, "", "eigvals"], [75, 0, 1, "", "higher_order_moment"], [75, 0, 1, "", "initialize_tucker"], [75, 0, 1, "", "kron"], [75, 0, 1, "", "make_svd_non_negative"], [75, 0, 1, "", "matrix_exp"], [75, 0, 1, "", "mode_dot"], [75, 0, 1, "", "multi_dot"], [75, 0, 1, "", "multi_mode_dot"], [75, 0, 1, "", "partial_tucker"], [75, 0, 1, "", "static_adjoint"], [75, 0, 1, "", "static_batched_outer"], [75, 0, 1, "", "static_cond"], [75, 0, 1, "", "static_diagflat"], [75, 0, 1, "", "static_dot"], [75, 0, 1, "", "static_eig"], [75, 0, 1, "", "static_eigh_tridiagonal"], [75, 0, 1, "", "static_eigvals"], [75, 0, 1, "", "static_higher_order_moment"], [75, 0, 1, "", "static_initialize_tucker"], [75, 0, 1, "", "static_kron"], [75, 0, 1, "", "static_make_svd_non_negative"], [75, 0, 1, "", "static_matrix_exp"], [75, 0, 1, "", "static_mode_dot"], [75, 0, 1, "", "static_multi_dot"], [75, 0, 1, "", "static_multi_mode_dot"], [75, 0, 1, "", "static_partial_tucker"], [75, 0, 1, "", "static_svd_flip"], [75, 0, 1, "", "static_tensor_train"], [75, 0, 1, "", "static_truncated_svd"], [75, 0, 1, "", "static_tt_matrix_to_tensor"], [75, 0, 1, "", "static_tucker"], [75, 0, 1, "", "svd_flip"], [75, 0, 1, "", "tensor_train"], [75, 0, 1, "", "truncated_svd"], [75, 0, 1, "", "tt_matrix_to_tensor"], [75, 0, 1, "", "tucker"]], "ivy.data_classes.container.experimental.losses": [[75, 1, 1, "", "_ContainerWithLossesExperimental"]], "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_huber_loss"], [75, 0, 1, "", "_static_kl_div"], [75, 0, 1, "", "_static_l1_loss"], [75, 0, 1, "", "_static_log_poisson_loss"], [75, 0, 1, "", "_static_poisson_nll_loss"], [75, 0, 1, "", "_static_smooth_l1_loss"], [75, 0, 1, "", "_static_soft_margin_loss"], [75, 0, 1, "", "huber_loss"], [75, 0, 1, "", "kl_div"], [75, 0, 1, "", "l1_loss"], [75, 0, 1, "", "log_poisson_loss"], [75, 0, 1, "", "poisson_nll_loss"], [75, 0, 1, "", "smooth_l1_loss"], [75, 0, 1, "", "soft_margin_loss"]], "ivy.data_classes.container.experimental.manipulation": [[75, 1, 1, "", "_ContainerWithManipulationExperimental"], [75, 2, 1, "", "concat_from_sequence"]], "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_fill_diagonal"], [75, 0, 1, "", "_static_put_along_axis"], [75, 0, 1, "", "_static_take"], [75, 0, 1, "", "_static_trim_zeros"], [75, 0, 1, "", "_static_unique_consecutive"], [75, 0, 1, "", "as_strided"], [75, 0, 1, "", "associative_scan"], [75, 0, 1, "", "atleast_1d"], [75, 0, 1, "", "atleast_2d"], [75, 0, 1, "", "atleast_3d"], [75, 0, 1, "", "broadcast_shapes"], [75, 0, 1, "", "column_stack"], [75, 0, 1, "", "concat_from_sequence"], [75, 0, 1, "", "dsplit"], [75, 0, 1, "", "dstack"], [75, 0, 1, "", "expand"], [75, 0, 1, "", "fill_diagonal"], [75, 0, 1, "", "flatten"], [75, 0, 1, "", "fliplr"], [75, 0, 1, "", "flipud"], [75, 0, 1, "", "fold"], [75, 0, 1, "", "heaviside"], [75, 0, 1, "", "hsplit"], [75, 0, 1, "", "hstack"], [75, 0, 1, "", "i0"], [75, 0, 1, "", "matricize"], [75, 0, 1, "", "moveaxis"], [75, 0, 1, "", "pad"], [75, 0, 1, "", "partial_fold"], [75, 0, 1, "", "partial_tensor_to_vec"], [75, 0, 1, "", "partial_unfold"], [75, 0, 1, "", "partial_vec_to_tensor"], [75, 0, 1, "", "put_along_axis"], [75, 0, 1, "", "rot90"], [75, 0, 1, "", "soft_thresholding"], [75, 0, 1, "", "static_as_strided"], [75, 0, 1, "", "static_atleast_1d"], [75, 0, 1, "", "static_atleast_2d"], [75, 0, 1, "", "static_atleast_3d"], [75, 0, 1, "", "static_broadcast_shapes"], [75, 0, 1, "", "static_column_stack"], [75, 0, 1, "", "static_concat_from_sequence"], [75, 0, 1, "", "static_dsplit"], [75, 0, 1, "", "static_dstack"], [75, 0, 1, "", "static_expand"], [75, 0, 1, "", "static_flatten"], [75, 0, 1, "", "static_fliplr"], [75, 0, 1, "", "static_flipud"], [75, 0, 1, "", "static_fold"], [75, 0, 1, "", "static_heaviside"], [75, 0, 1, "", "static_hsplit"], [75, 0, 1, "", "static_hstack"], [75, 0, 1, "", "static_i0"], [75, 0, 1, "", "static_matricize"], [75, 0, 1, "", "static_moveaxis"], [75, 0, 1, "", "static_pad"], [75, 0, 1, "", "static_partial_fold"], [75, 0, 1, "", "static_partial_tensor_to_vec"], [75, 0, 1, "", "static_partial_unfold"], [75, 0, 1, "", "static_partial_vec_to_tensor"], [75, 0, 1, "", "static_rot90"], [75, 0, 1, "", "static_soft_thresholding"], [75, 0, 1, "", "static_take_along_axis"], [75, 0, 1, "", "static_top_k"], [75, 0, 1, "", "static_unfold"], [75, 0, 1, "", "static_vsplit"], [75, 0, 1, "", "static_vstack"], [75, 0, 1, "", "take"], [75, 0, 1, "", "take_along_axis"], [75, 0, 1, "", "top_k"], [75, 0, 1, "", "trim_zeros"], [75, 0, 1, "", "unfold"], [75, 0, 1, "", "unique_consecutive"], [75, 0, 1, "", "vsplit"], [75, 0, 1, "", "vstack"]], "ivy.data_classes.container.experimental.norms": [[75, 1, 1, "", "_ContainerWithNormsExperimental"]], "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "batch_norm"], [75, 0, 1, "", "group_norm"], [75, 0, 1, "", "instance_norm"], [75, 0, 1, "", "l1_normalize"], [75, 0, 1, "", "l2_normalize"], [75, 0, 1, "", "lp_normalize"], [75, 0, 1, "", "static_batch_norm"], [75, 0, 1, "", "static_group_norm"], [75, 0, 1, "", "static_instance_norm"], [75, 0, 1, "", "static_l1_normalize"], [75, 0, 1, "", "static_l2_normalize"], [75, 0, 1, "", "static_lp_normalize"]], "ivy.data_classes.container.experimental.random": [[75, 1, 1, "", "_ContainerWithRandomExperimental"]], "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "bernoulli"], [75, 0, 1, "", "beta"], [75, 0, 1, "", "dirichlet"], [75, 0, 1, "", "gamma"], [75, 0, 1, "", "poisson"], [75, 0, 1, "", "static_bernoulli"], [75, 0, 1, "", "static_beta"], [75, 0, 1, "", "static_dirichlet"], [75, 0, 1, "", "static_gamma"], [75, 0, 1, "", "static_poisson"]], "ivy.data_classes.container.experimental.searching": [[75, 1, 1, "", "_ContainerWithSearchingExperimental"]], "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "static_unravel_index"], [75, 0, 1, "", "unravel_index"]], "ivy.data_classes.container.experimental.set": [[75, 1, 1, "", "_ContainerWithSetExperimental"]], "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.sorting": [[75, 1, 1, "", "_ContainerWithSortingExperimental"]], "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "invert_permutation"], [75, 0, 1, "", "lexsort"], [75, 0, 1, "", "static_invert_permutation"], [75, 0, 1, "", "static_lexsort"]], "ivy.data_classes.container.experimental.statistical": [[75, 1, 1, "", "_ContainerWithStatisticalExperimental"]], "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_cummax"], [75, 0, 1, "", "_static_cummin"], [75, 0, 1, "", "_static_nanmin"], [75, 0, 1, "", "bincount"], [75, 0, 1, "", "corrcoef"], [75, 0, 1, "", "cov"], [75, 0, 1, "", "cummax"], [75, 0, 1, "", "cummin"], [75, 0, 1, "", "histogram"], [75, 0, 1, "", "igamma"], [75, 0, 1, "", "median"], [75, 0, 1, "", "nanmean"], [75, 0, 1, "", "nanmedian"], [75, 0, 1, "", "nanmin"], [75, 0, 1, "", "nanprod"], [75, 0, 1, "", "quantile"], [75, 0, 1, "", "static_bincount"], [75, 0, 1, "", "static_corrcoef"], [75, 0, 1, "", "static_cov"], [75, 0, 1, "", "static_histogram"], [75, 0, 1, "", "static_igamma"], [75, 0, 1, "", "static_median"], [75, 0, 1, "", "static_nanmean"], [75, 0, 1, "", "static_nanmedian"], [75, 0, 1, "", "static_nanprod"], [75, 0, 1, "", "static_quantile"]], "ivy.data_classes.container.experimental.utility": [[75, 1, 1, "", "_ContainerWithUtilityExperimental"]], "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "optional_get_element"], [75, 0, 1, "", "static_optional_get_element"]], "ivy.data_classes.container.general": [[76, 1, 1, "", "_ContainerWithGeneral"]], "ivy.data_classes.container.general._ContainerWithGeneral": [[76, 4, 1, "", "_abc_impl"], [76, 0, 1, "", "_static_all_equal"], [76, 0, 1, "", "_static_array_equal"], [76, 0, 1, "", "_static_assert_supports_inplace"], [76, 0, 1, "", "_static_clip_matrix_norm"], [76, 0, 1, "", "_static_clip_vector_norm"], [76, 0, 1, "", "_static_einops_rearrange"], [76, 0, 1, "", "_static_einops_reduce"], [76, 0, 1, "", "_static_einops_repeat"], [76, 0, 1, "", "_static_exists"], [76, 0, 1, "", "_static_fourier_encode"], [76, 0, 1, "", "_static_gather"], [76, 0, 1, "", "_static_gather_nd"], [76, 0, 1, "", "_static_get_num_dims"], [76, 0, 1, "", "_static_has_nans"], [76, 0, 1, "", "_static_inplace_decrement"], [76, 0, 1, "", "_static_inplace_increment"], [76, 0, 1, "", "_static_inplace_update"], [76, 0, 1, "", "_static_is_array"], [76, 0, 1, "", "_static_is_ivy_array"], [76, 0, 1, "", "_static_is_native_array"], [76, 0, 1, "", "_static_scatter_flat"], [76, 0, 1, "", "_static_scatter_nd"], [76, 0, 1, "", "_static_stable_divide"], [76, 0, 1, "", "_static_stable_pow"], [76, 0, 1, "", "_static_supports_inplace_updates"], [76, 0, 1, "", "_static_to_list"], [76, 0, 1, "", "_static_to_numpy"], [76, 0, 1, "", "_static_to_scalar"], [76, 0, 1, "", "_static_value_is_nan"], [76, 0, 1, "", "all_equal"], [76, 0, 1, "", "array_equal"], [76, 0, 1, "", "assert_supports_inplace"], [76, 0, 1, "", "clip_matrix_norm"], [76, 0, 1, "", "clip_vector_norm"], [76, 0, 1, "", "einops_rearrange"], [76, 0, 1, "", "einops_reduce"], [76, 0, 1, "", "einops_repeat"], [76, 0, 1, "", "exists"], [76, 0, 1, "", "fourier_encode"], [76, 0, 1, "", "gather"], [76, 0, 1, "", "gather_nd"], [76, 0, 1, "", "get_num_dims"], [76, 0, 1, "", "has_nans"], [76, 0, 1, "", "inplace_decrement"], [76, 0, 1, "", "inplace_increment"], [76, 0, 1, "", "inplace_update"], [76, 0, 1, "", "is_array"], [76, 0, 1, "", "is_ivy_array"], [76, 0, 1, "", "is_native_array"], [76, 0, 1, "", "isin"], [76, 0, 1, "", "itemsize"], [76, 0, 1, "", "scatter_flat"], [76, 0, 1, "", "scatter_nd"], [76, 0, 1, "", "stable_divide"], [76, 0, 1, "", "stable_pow"], [76, 0, 1, "", "static_isin"], [76, 0, 1, "", "static_itemsize"], [76, 0, 1, "", "static_strides"], [76, 0, 1, "", "strides"], [76, 0, 1, "", "supports_inplace_updates"], [76, 0, 1, "", "to_list"], [76, 0, 1, "", "to_numpy"], [76, 0, 1, "", "to_scalar"], [76, 0, 1, "", "value_is_nan"]], "ivy.data_classes.container.gradients": [[77, 1, 1, "", "_ContainerWithGradients"]], "ivy.data_classes.container.gradients._ContainerWithGradients": [[77, 4, 1, "", "_abc_impl"], [77, 0, 1, "", "_static_stop_gradient"], [77, 0, 1, "", "adam_step"], [77, 0, 1, "", "adam_update"], [77, 0, 1, "", "gradient_descent_update"], [77, 0, 1, "", "lamb_update"], [77, 0, 1, "", "lars_update"], [77, 0, 1, "", "optimizer_update"], [77, 0, 1, "", "stop_gradient"]], "ivy.data_classes.container.image": [[78, 1, 1, "", "_ContainerWithImage"]], "ivy.data_classes.container.image._ContainerWithImage": [[78, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.layers": [[79, 1, 1, "", "_ContainerWithLayers"]], "ivy.data_classes.container.layers._ContainerWithLayers": [[79, 4, 1, "", "_abc_impl"], [79, 0, 1, "", "_static_conv1d"], [79, 0, 1, "", "_static_conv1d_transpose"], [79, 0, 1, "", "_static_conv2d"], [79, 0, 1, "", "_static_conv2d_transpose"], [79, 0, 1, "", "_static_conv3d"], [79, 0, 1, "", "_static_conv3d_transpose"], [79, 0, 1, "", "_static_depthwise_conv2d"], [79, 0, 1, "", "_static_dropout"], [79, 0, 1, "", "_static_dropout1d"], [79, 0, 1, "", "_static_dropout2d"], [79, 0, 1, "", "_static_dropout3d"], [79, 0, 1, "", "_static_linear"], [79, 0, 1, "", "_static_lstm_update"], [79, 0, 1, "", "_static_multi_head_attention"], [79, 0, 1, "", "_static_reduce_window"], [79, 0, 1, "", "_static_scaled_dot_product_attention"], [79, 0, 1, "", "conv1d"], [79, 0, 1, "", "conv1d_transpose"], [79, 0, 1, "", "conv2d"], [79, 0, 1, "", "conv2d_transpose"], [79, 0, 1, "", "conv3d"], [79, 0, 1, "", "conv3d_transpose"], [79, 0, 1, "", "depthwise_conv2d"], [79, 0, 1, "", "dropout"], [79, 0, 1, "", "dropout1d"], [79, 0, 1, "", "dropout2d"], [79, 0, 1, "", "dropout3d"], [79, 0, 1, "", "linear"], [79, 0, 1, "", "lstm_update"], [79, 0, 1, "", "multi_head_attention"], [79, 0, 1, "", "reduce_window"], [79, 0, 1, "", "scaled_dot_product_attention"]], "ivy.data_classes.container.linear_algebra": [[80, 1, 1, "", "_ContainerWithLinearAlgebra"]], "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra": [[80, 4, 1, "", "_abc_impl"], [80, 0, 1, "", "_static_cholesky"], [80, 0, 1, "", "_static_cross"], [80, 0, 1, "", "_static_det"], [80, 0, 1, "", "_static_diag"], [80, 0, 1, "", "_static_diagonal"], [80, 0, 1, "", "_static_eigh"], [80, 0, 1, "", "_static_eigvalsh"], [80, 0, 1, "", "_static_inner"], [80, 0, 1, "", "_static_inv"], [80, 0, 1, "", "_static_matmul"], [80, 0, 1, "", "_static_matrix_norm"], [80, 0, 1, "", "_static_matrix_power"], [80, 0, 1, "", "_static_matrix_rank"], [80, 0, 1, "", "_static_matrix_transpose"], [80, 0, 1, "", "_static_outer"], [80, 0, 1, "", "_static_pinv"], [80, 0, 1, "", "_static_qr"], [80, 0, 1, "", "_static_slogdet"], [80, 0, 1, "", "_static_solve"], [80, 0, 1, "", "_static_svd"], [80, 0, 1, "", "_static_svdvals"], [80, 0, 1, "", "_static_tensordot"], [80, 0, 1, "", "_static_tensorsolve"], [80, 0, 1, "", "_static_trace"], [80, 0, 1, "", "_static_vander"], [80, 0, 1, "", "_static_vecdot"], [80, 0, 1, "", "_static_vector_norm"], [80, 0, 1, "", "_static_vector_to_skew_symmetric_matrix"], [80, 0, 1, "", "cholesky"], [80, 0, 1, "", "cross"], [80, 0, 1, "", "det"], [80, 0, 1, "", "diag"], [80, 0, 1, "", "diagonal"], [80, 0, 1, "", "eigh"], [80, 0, 1, "", "eigvalsh"], [80, 0, 1, "", "general_inner_product"], [80, 0, 1, "", "inner"], [80, 0, 1, "", "inv"], [80, 0, 1, "", "matmul"], [80, 0, 1, "", "matrix_norm"], [80, 0, 1, "", "matrix_power"], [80, 0, 1, "", "matrix_rank"], [80, 0, 1, "", "matrix_transpose"], [80, 0, 1, "", "outer"], [80, 0, 1, "", "pinv"], [80, 0, 1, "", "qr"], [80, 0, 1, "", "slogdet"], [80, 0, 1, "", "solve"], [80, 0, 1, "", "static_general_inner_product"], [80, 0, 1, "", "svd"], [80, 0, 1, "", "svdvals"], [80, 0, 1, "", "tensordot"], [80, 0, 1, "", "tensorsolve"], [80, 0, 1, "", "trace"], [80, 0, 1, "", "vander"], [80, 0, 1, "", "vecdot"], [80, 0, 1, "", "vector_norm"], [80, 0, 1, "", "vector_to_skew_symmetric_matrix"]], "ivy.data_classes.container.losses": [[81, 1, 1, "", "_ContainerWithLosses"]], "ivy.data_classes.container.losses._ContainerWithLosses": [[81, 4, 1, "", "_abc_impl"], [81, 0, 1, "", "_static_binary_cross_entropy"], [81, 0, 1, "", "_static_cross_entropy"], [81, 0, 1, "", "_static_sparse_cross_entropy"], [81, 0, 1, "", "binary_cross_entropy"], [81, 0, 1, "", "cross_entropy"], [81, 0, 1, "", "sparse_cross_entropy"]], "ivy.data_classes.container.manipulation": [[82, 1, 1, "", "_ContainerWithManipulation"]], "ivy.data_classes.container.manipulation._ContainerWithManipulation": [[82, 4, 1, "", "_abc_impl"], [82, 0, 1, "", "_static_clip"], [82, 0, 1, "", "_static_concat"], [82, 0, 1, "", "_static_constant_pad"], [82, 0, 1, "", "_static_expand_dims"], [82, 0, 1, "", "_static_flip"], [82, 0, 1, "", "_static_permute_dims"], [82, 0, 1, "", "_static_repeat"], [82, 0, 1, "", "_static_reshape"], [82, 0, 1, "", "_static_roll"], [82, 0, 1, "", "_static_split"], [82, 0, 1, "", "_static_squeeze"], [82, 0, 1, "", "_static_stack"], [82, 0, 1, "", "_static_swapaxes"], [82, 0, 1, "", "_static_tile"], [82, 0, 1, "", "_static_unstack"], [82, 0, 1, "", "_static_zero_pad"], [82, 0, 1, "", "clip"], [82, 0, 1, "", "concat"], [82, 0, 1, "", "constant_pad"], [82, 0, 1, "", "expand_dims"], [82, 0, 1, "", "flip"], [82, 0, 1, "", "permute_dims"], [82, 0, 1, "", "repeat"], [82, 0, 1, "", "reshape"], [82, 0, 1, "", "roll"], [82, 0, 1, "", "split"], [82, 0, 1, "", "squeeze"], [82, 0, 1, "", "stack"], [82, 0, 1, "", "swapaxes"], [82, 0, 1, "", "tile"], [82, 0, 1, "", "unstack"], [82, 0, 1, "", "zero_pad"]], "ivy.data_classes.container.norms": [[83, 1, 1, "", "_ContainerWithNorms"]], "ivy.data_classes.container.norms._ContainerWithNorms": [[83, 4, 1, "", "_abc_impl"], [83, 0, 1, "", "layer_norm"]], "ivy.data_classes.container.random": [[84, 1, 1, "", "_ContainerWithRandom"]], "ivy.data_classes.container.random._ContainerWithRandom": [[84, 4, 1, "", "_abc_impl"], [84, 0, 1, "", "_static_multinomial"], [84, 0, 1, "", "_static_randint"], [84, 0, 1, "", "_static_random_normal"], [84, 0, 1, "", "_static_random_uniform"], [84, 0, 1, "", "_static_shuffle"], [84, 0, 1, "", "multinomial"], [84, 0, 1, "", "randint"], [84, 0, 1, "", "random_normal"], [84, 0, 1, "", "random_uniform"], [84, 0, 1, "", "shuffle"]], "ivy.data_classes.container.searching": [[85, 1, 1, "", "_ContainerWithSearching"]], "ivy.data_classes.container.searching._ContainerWithSearching": [[85, 4, 1, "", "_abc_impl"], [85, 0, 1, "", "_static_argmax"], [85, 0, 1, "", "_static_argmin"], [85, 0, 1, "", "_static_argwhere"], [85, 0, 1, "", "_static_nonzero"], [85, 0, 1, "", "_static_where"], [85, 0, 1, "", "argmax"], [85, 0, 1, "", "argmin"], [85, 0, 1, "", "argwhere"], [85, 0, 1, "", "nonzero"], [85, 0, 1, "", "where"]], "ivy.data_classes.container.set": [[86, 1, 1, "", "_ContainerWithSet"]], "ivy.data_classes.container.set._ContainerWithSet": [[86, 4, 1, "", "_abc_impl"], [86, 0, 1, "", "_static_unique_all"], [86, 0, 1, "", "_static_unique_counts"], [86, 0, 1, "", "_static_unique_inverse"], [86, 0, 1, "", "_static_unique_values"], [86, 0, 1, "", "unique_all"], [86, 0, 1, "", "unique_counts"], [86, 0, 1, "", "unique_inverse"], [86, 0, 1, "", "unique_values"]], "ivy.data_classes.container.sorting": [[87, 1, 1, "", "_ContainerWithSorting"]], "ivy.data_classes.container.sorting._ContainerWithSorting": [[87, 4, 1, "", "_abc_impl"], [87, 0, 1, "", "_static_argsort"], [87, 0, 1, "", "_static_searchsorted"], [87, 0, 1, "", "_static_sort"], [87, 0, 1, "", "argsort"], [87, 0, 1, "", "msort"], [87, 0, 1, "", "searchsorted"], [87, 0, 1, "", "sort"], [87, 0, 1, "", "static_msort"]], "ivy.data_classes.container.statistical": [[88, 1, 1, "", "_ContainerWithStatistical"]], "ivy.data_classes.container.statistical._ContainerWithStatistical": [[88, 4, 1, "", "_abc_impl"], [88, 0, 1, "", "_static_cumprod"], [88, 0, 1, "", "_static_cumsum"], [88, 0, 1, "", "_static_min"], [88, 0, 1, "", "_static_prod"], [88, 0, 1, "", "_static_sum"], [88, 0, 1, "", "_static_var"], [88, 0, 1, "", "cumprod"], [88, 0, 1, "", "cumsum"], [88, 0, 1, "", "einsum"], [88, 0, 1, "", "max"], [88, 0, 1, "", "mean"], [88, 0, 1, "", "min"], [88, 0, 1, "", "prod"], [88, 0, 1, "", "std"], [88, 0, 1, "", "sum"], [88, 0, 1, "", "var"]], "ivy.data_classes.container.utility": [[89, 1, 1, "", "_ContainerWithUtility"]], "ivy.data_classes.container.utility._ContainerWithUtility": [[89, 4, 1, "", "_abc_impl"], [89, 0, 1, "", "_static_all"], [89, 0, 1, "", "_static_any"], [89, 0, 1, "", "all"], [89, 0, 1, "", "any"]], "ivy.data_classes.container.wrapping": [[90, 2, 1, "", "_wrap_function"], [90, 2, 1, "", "add_ivy_container_instance_methods"]], "ivy.data_classes.factorized_tensor": [[91, 3, 0, "-", "base"], [92, 3, 0, "-", "cp_tensor"], [93, 3, 0, "-", "parafac2_tensor"], [94, 3, 0, "-", "tr_tensor"], [95, 3, 0, "-", "tt_tensor"], [96, 3, 0, "-", "tucker_tensor"]], "ivy.data_classes.factorized_tensor.base": [[91, 1, 1, "", "FactorizedTensor"]], "ivy.data_classes.factorized_tensor.base.FactorizedTensor": [[91, 0, 1, "", "__init__"], [91, 4, 1, "", "_abc_impl"], [91, 0, 1, "", "mode_dot"], [91, 0, 1, "", "norm"], [91, 0, 1, "", "to_tensor"], [91, 0, 1, "", "to_unfolded"], [91, 0, 1, "", "to_vec"]], "ivy.data_classes.factorized_tensor.cp_tensor": [[92, 1, 1, "", "CPTensor"]], "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor": [[92, 0, 1, "", "__init__"], [92, 4, 1, "", "_abc_impl"], [92, 0, 1, "", "cp_copy"], [92, 0, 1, "", "cp_flip_sign"], [92, 0, 1, "", "cp_lstsq_grad"], [92, 0, 1, "", "cp_mode_dot"], [92, 0, 1, "", "cp_n_param"], [92, 0, 1, "", "cp_norm"], [92, 0, 1, "", "cp_normalize"], [92, 0, 1, "", "cp_to_tensor"], [92, 0, 1, "", "cp_to_unfolded"], [92, 0, 1, "", "cp_to_vec"], [92, 0, 1, "", "mode_dot"], [92, 5, 1, "", "n_param"], [92, 0, 1, "", "norm"], [92, 0, 1, "", "normalize"], [92, 0, 1, "", "to_tensor"], [92, 0, 1, "", "to_unfolded"], [92, 0, 1, "", "to_vec"], [92, 0, 1, "", "unfolding_dot_khatri_rao"], [92, 0, 1, "", "validate_cp_rank"], [92, 0, 1, "", "validate_cp_tensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor": [[93, 1, 1, "", "Parafac2Tensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor": [[93, 0, 1, "", "__init__"], [93, 4, 1, "", "_abc_impl"], [93, 0, 1, "", "apply_parafac2_projections"], [93, 0, 1, "", "from_CPTensor"], [93, 5, 1, "", "n_param"], [93, 0, 1, "", "parafac2_normalise"], [93, 0, 1, "", "parafac2_to_slice"], [93, 0, 1, "", "parafac2_to_slices"], [93, 0, 1, "", "parafac2_to_tensor"], [93, 0, 1, "", "parafac2_to_unfolded"], [93, 0, 1, "", "parafac2_to_vec"], [93, 0, 1, "", "to_tensor"], [93, 0, 1, "", "to_unfolded"], [93, 0, 1, "", "to_vec"], [93, 0, 1, "", "validate_parafac2_tensor"]], "ivy.data_classes.factorized_tensor.tr_tensor": [[94, 1, 1, "", "TRTensor"]], "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor": [[94, 0, 1, "", "__init__"], [94, 4, 1, "", "_abc_impl"], [94, 5, 1, "", "n_param"], [94, 0, 1, "", "to_tensor"], [94, 0, 1, "", "to_unfolded"], [94, 0, 1, "", "to_vec"], [94, 0, 1, "", "tr_n_param"], [94, 0, 1, "", "tr_to_tensor"], [94, 0, 1, "", "tr_to_unfolded"], [94, 0, 1, "", "tr_to_vec"], [94, 0, 1, "", "validate_tr_rank"], [94, 0, 1, "", "validate_tr_tensor"]], "ivy.data_classes.factorized_tensor.tt_tensor": [[95, 1, 1, "", "TTTensor"]], "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor": [[95, 0, 1, "", "__init__"], [95, 4, 1, "", "_abc_impl"], [95, 0, 1, "", "_tt_n_param"], [95, 0, 1, "", "index_update"], [95, 5, 1, "", "n_param"], [95, 0, 1, "", "pad_tt_rank"], [95, 0, 1, "", "to_tensor"], [95, 0, 1, "", "to_unfolding"], [95, 0, 1, "", "to_vec"], [95, 0, 1, "", "tt_to_tensor"], [95, 0, 1, "", "tt_to_unfolded"], [95, 0, 1, "", "tt_to_vec"], [95, 0, 1, "", "validate_tt_rank"], [95, 0, 1, "", "validate_tt_tensor"]], "ivy.data_classes.factorized_tensor.tucker_tensor": [[96, 1, 1, "", "TuckerTensor"], [96, 2, 1, "", "_bisection_root_finder"]], "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor": [[96, 0, 1, "", "__init__"], [96, 4, 1, "", "_abc_impl"], [96, 0, 1, "", "mode_dot"], [96, 5, 1, "", "n_param"], [96, 0, 1, "", "to_tensor"], [96, 0, 1, "", "to_unfolded"], [96, 0, 1, "", "to_vec"], [96, 0, 1, "", "tucker_copy"], [96, 0, 1, "", "tucker_mode_dot"], [96, 0, 1, "", "tucker_n_param"], [96, 0, 1, "", "tucker_normalize"], [96, 0, 1, "", "tucker_to_tensor"], [96, 0, 1, "", "tucker_to_unfolded"], [96, 0, 1, "", "tucker_to_vec"], [96, 0, 1, "", "validate_tucker_rank"], [96, 0, 1, "", "validate_tucker_tensor"]], "ivy.data_classes.nested_array": [[101, 3, 0, "-", "base"], [102, 3, 0, "-", "elementwise"], [100, 3, 0, "-", "nested_array"]], "ivy.data_classes.nested_array.base": [[101, 1, 1, "", "NestedArrayBase"]], "ivy.data_classes.nested_array.base.NestedArrayBase": [[101, 0, 1, "", "__init__"], [101, 4, 1, "", "_abc_impl"], [101, 0, 1, "", "broadcast_shapes"], [101, 5, 1, "", "data"], [101, 5, 1, "", "device"], [101, 5, 1, "", "dtype"], [101, 5, 1, "", "inner_shape"], [101, 5, 1, "", "ndim"], [101, 0, 1, "", "nested_array"], [101, 5, 1, "", "nested_rank"], [101, 0, 1, "", "ragged_map"], [101, 0, 1, "", "ragged_multi_map"], [101, 0, 1, "", "ragged_multi_map_in_function"], [101, 0, 1, "", "replace_ivy_arrays"], [101, 5, 1, "", "shape"], [101, 0, 1, "", "unbind"]], "ivy.data_classes.nested_array.elementwise": [[102, 1, 1, "", "NestedArrayElementwise"]], "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise": [[102, 4, 1, "", "_abc_impl"], [102, 0, 1, "", "static_add"]], "ivy.data_classes.nested_array.nested_array": [[100, 1, 1, "", "NestedArray"]], "ivy.data_classes.nested_array.nested_array.NestedArray": [[100, 0, 1, "", "__init__"], [100, 0, 1, "", "from_row_lengths"], [100, 0, 1, "", "from_row_splits"]], "ivy.functional.ivy": [[613, 3, 0, "-", "activations"], [614, 3, 0, "-", "constants"], [615, 3, 0, "-", "control_flow_ops"], [616, 3, 0, "-", "creation"], [617, 3, 0, "-", "data_type"], [618, 3, 0, "-", "device"], [619, 3, 0, "-", "elementwise"], [620, 3, 0, "-", "experimental"], [621, 3, 0, "-", "general"], [622, 3, 0, "-", "gradients"], [623, 3, 0, "-", "layers"], [624, 3, 0, "-", "linear_algebra"], [625, 3, 0, "-", "losses"], [626, 3, 0, "-", "manipulation"], [627, 3, 0, "-", "meta"], [628, 3, 0, "-", "nest"], [629, 3, 0, "-", "norms"], [630, 3, 0, "-", "random"], [631, 3, 0, "-", "searching"], [632, 3, 0, "-", "set"], [633, 3, 0, "-", "sorting"], [634, 3, 0, "-", "statistical"], [635, 3, 0, "-", "utility"]], "ivy.functional.ivy.experimental": [[360, 3, 0, "-", "activations"], [361, 3, 0, "-", "constants"], [362, 3, 0, "-", "creation"], [363, 3, 0, "-", "data_type"], [364, 3, 0, "-", "device"], [365, 3, 0, "-", "elementwise"], [366, 3, 0, "-", "general"], [367, 3, 0, "-", "gradients"], [368, 3, 0, "-", "layers"], [369, 3, 0, "-", "linear_algebra"], [370, 3, 0, "-", "losses"], [371, 3, 0, "-", "manipulation"], [372, 3, 0, "-", "meta"], [373, 3, 0, "-", "nest"], [374, 3, 0, "-", "norms"], [375, 3, 0, "-", "random"], [376, 3, 0, "-", "searching"], [377, 3, 0, "-", "set"], [378, 3, 0, "-", "sorting"], [379, 3, 0, "-", "sparse_array"], [380, 3, 0, "-", "statistical"], [381, 3, 0, "-", "utility"]], "ivy.stateful": [[775, 3, 0, "-", "activations"], [776, 3, 0, "-", "converters"], [777, 3, 0, "-", "helpers"], [778, 3, 0, "-", "initializers"], [779, 3, 0, "-", "layers"], [780, 3, 0, "-", "losses"], [781, 3, 0, "-", "module"], [782, 3, 0, "-", "norms"], [783, 3, 0, "-", "optimizers"], [784, 3, 0, "-", "sequential"]], "ivy.stateful.activations": [[775, 1, 1, "", "ELU"], [775, 1, 1, "", "GEGLU"], [775, 1, 1, "", "GELU"], [775, 1, 1, "", "Hardswish"], [775, 1, 1, "", "LeakyReLU"], [775, 1, 1, "", "LogSigmoid"], [775, 1, 1, "", "LogSoftmax"], [775, 1, 1, "", "Logit"], [775, 1, 1, "", "Mish"], [775, 1, 1, "", "PReLU"], [775, 1, 1, "", "ReLU"], [775, 1, 1, "", "ReLU6"], [775, 1, 1, "", "SeLU"], [775, 1, 1, "", "SiLU"], [775, 1, 1, "", "Sigmoid"], [775, 1, 1, "", "Softmax"], [775, 1, 1, "", "Softplus"], [775, 1, 1, "", "Tanh"]], "ivy.stateful.activations.ELU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.GEGLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.GELU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Hardswish": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LeakyReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LogSigmoid": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LogSoftmax": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Logit": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Mish": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.PReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.ReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.ReLU6": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.SeLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.SiLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Sigmoid": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Softmax": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Softplus": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Tanh": [[775, 0, 1, "", "__init__"]], "ivy.stateful.converters": [[776, 1, 1, "", "ModuleConverters"], [776, 2, 1, "", "to_ivy_module"]], "ivy.stateful.converters.ModuleConverters": [[776, 0, 1, "", "from_flax_module"], [776, 0, 1, "", "from_haiku_module"], [776, 0, 1, "", "from_keras_module"], [776, 0, 1, "", "from_paddle_module"], [776, 0, 1, "", "from_torch_module"], [776, 0, 1, "", "to_keras_module"]], "ivy.stateful.helpers": [[777, 1, 1, "", "ModuleHelpers"]], "ivy.stateful.initializers": [[778, 1, 1, "", "Constant"], [778, 1, 1, "", "FirstLayerSiren"], [778, 1, 1, "", "GlorotUniform"], [778, 1, 1, "", "Initializer"], [778, 1, 1, "", "KaimingNormal"], [778, 1, 1, "", "Ones"], [778, 1, 1, "", "RandomNormal"], [778, 1, 1, "", "Siren"], [778, 1, 1, "", "Uniform"], [778, 1, 1, "", "Zeros"]], "ivy.stateful.initializers.Constant": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.FirstLayerSiren": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.GlorotUniform": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.Initializer": [[778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.KaimingNormal": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Ones": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.RandomNormal": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Siren": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.Uniform": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Zeros": [[778, 0, 1, "", "__init__"]], "ivy.stateful.layers": [[779, 1, 1, "", "AdaptiveAvgPool1d"], [779, 1, 1, "", "AdaptiveAvgPool2d"], [779, 1, 1, "", "AvgPool1D"], [779, 1, 1, "", "AvgPool2D"], [779, 1, 1, "", "AvgPool3D"], [779, 1, 1, "", "Conv1D"], [779, 1, 1, "", "Conv1DTranspose"], [779, 1, 1, "", "Conv2D"], [779, 1, 1, "", "Conv2DTranspose"], [779, 1, 1, "", "Conv3D"], [779, 1, 1, "", "Conv3DTranspose"], [779, 1, 1, "", "Dct"], [779, 1, 1, "", "DepthwiseConv2D"], [779, 1, 1, "", "Dropout"], [779, 1, 1, "", "Embedding"], [779, 1, 1, "", "FFT"], [779, 1, 1, "", "IFFT"], [779, 1, 1, "", "Identity"], [779, 1, 1, "", "LSTM"], [779, 1, 1, "", "Linear"], [779, 1, 1, "", "MaxPool1D"], [779, 1, 1, "", "MaxPool2D"], [779, 1, 1, "", "MaxPool3D"], [779, 1, 1, "", "MultiHeadAttention"]], "ivy.stateful.layers.AdaptiveAvgPool1d": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AdaptiveAvgPool2d": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv1DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv2DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv3DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Dct": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.DepthwiseConv2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Dropout": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Embedding": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.FFT": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.IFFT": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Identity": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.LSTM": [[779, 0, 1, "", "__init__"], [779, 0, 1, "", "get_initial_state"]], "ivy.stateful.layers.Linear": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MultiHeadAttention": [[779, 0, 1, "", "__init__"]], "ivy.stateful.losses": [[780, 1, 1, "", "BinaryCrossEntropyLoss"], [780, 1, 1, "", "CrossEntropyLoss"], [780, 1, 1, "", "LogPoissonLoss"]], "ivy.stateful.losses.BinaryCrossEntropyLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.losses.CrossEntropyLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.losses.LogPoissonLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.module": [[781, 1, 1, "", "Module"], [781, 1, 1, "", "ModuleMeta"]], "ivy.stateful.module.Module": [[781, 0, 1, "", "__call__"], [781, 0, 1, "", "__init__"], [781, 5, 1, "", "buffers"], [781, 0, 1, "", "build"], [781, 5, 1, "", "build_mode"], [781, 5, 1, "", "built"], [781, 5, 1, "", "device"], [781, 5, 1, "", "dtype"], [781, 0, 1, "", "eval"], [781, 0, 1, "", "load"], [781, 5, 1, "", "module_dict"], [781, 0, 1, "", "register_buffer"], [781, 0, 1, "", "register_parameter"], [781, 0, 1, "", "save"], [781, 0, 1, "", "save_weights"], [781, 0, 1, "", "show_graph"], [781, 5, 1, "", "state_dict"], [781, 0, 1, "", "to_device"], [781, 0, 1, "", "trace_graph"], [781, 0, 1, "", "train"], [781, 5, 1, "", "training"], [781, 5, 1, "", "v"]], "ivy.stateful.norms": [[782, 1, 1, "", "BatchNorm2D"], [782, 1, 1, "", "LayerNorm"]], "ivy.stateful.norms.BatchNorm2D": [[782, 0, 1, "", "__init__"]], "ivy.stateful.norms.LayerNorm": [[782, 0, 1, "", "__init__"]], "ivy.stateful.optimizers": [[783, 1, 1, "", "Adam"], [783, 1, 1, "", "AdamW"], [783, 1, 1, "", "LAMB"], [783, 1, 1, "", "LARS"], [783, 1, 1, "", "Optimizer"], [783, 1, 1, "", "SGD"]], "ivy.stateful.optimizers.Adam": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.AdamW": [[783, 0, 1, "", "__init__"]], "ivy.stateful.optimizers.LAMB": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.LARS": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.Optimizer": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 0, 1, "", "step"]], "ivy.stateful.optimizers.SGD": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.sequential": [[784, 1, 1, "", "Sequential"]], "ivy.stateful.sequential.Sequential": [[784, 0, 1, "", "__init__"]], "ivy.utils": [[785, 3, 0, "-", "assertions"], [786, 3, 0, "-", "backend"], [790, 3, 0, "-", "binaries"], [791, 3, 0, "-", "dynamic_import"], [792, 3, 0, "-", "einsum_parser"], [793, 3, 0, "-", "einsum_path_helpers"], [794, 3, 0, "-", "exceptions"], [795, 3, 0, "-", "inspection"], [796, 3, 0, "-", "logging"], [797, 3, 0, "-", "profiler"], [798, 3, 0, "-", "verbosity"]], "ivy.utils.assertions": [[785, 2, 1, "", "check_all"], [785, 2, 1, "", "check_all_or_any_fn"], [785, 2, 1, "", "check_any"], [785, 2, 1, "", "check_dev_correct_formatting"], [785, 2, 1, "", "check_dimensions"], [785, 2, 1, "", "check_elem_in_list"], [785, 2, 1, "", "check_equal"], [785, 2, 1, "", "check_exists"], [785, 2, 1, "", "check_false"], [785, 2, 1, "", "check_gather_input_valid"], [785, 2, 1, "", "check_gather_nd_input_valid"], [785, 2, 1, "", "check_greater"], [785, 2, 1, "", "check_inplace_sizes_valid"], [785, 2, 1, "", "check_isinstance"], [785, 2, 1, "", "check_kernel_padding_size"], [785, 2, 1, "", "check_less"], [785, 2, 1, "", "check_one_way_broadcastable"], [785, 2, 1, "", "check_same_dtype"], [785, 2, 1, "", "check_shape"], [785, 2, 1, "", "check_shapes_broadcastable"], [785, 2, 1, "", "check_true"], [785, 2, 1, "", "check_unsorted_segment_valid_params"]], "ivy.utils.backend": [[787, 3, 0, "-", "ast_helpers"], [788, 3, 0, "-", "handler"], [789, 3, 0, "-", "sub_backend_handler"]], "ivy.utils.backend.ast_helpers": [[787, 1, 1, "", "ImportTransformer"], [787, 1, 1, "", "IvyLoader"], [787, 1, 1, "", "IvyPathFinder"]], "ivy.utils.backend.ast_helpers.ImportTransformer": [[787, 0, 1, "", "__init__"], [787, 0, 1, "", "impersonate_import"], [787, 0, 1, "", "visit_Import"], [787, 0, 1, "", "visit_ImportFrom"]], "ivy.utils.backend.ast_helpers.IvyLoader": [[787, 0, 1, "", "__init__"], [787, 0, 1, "", "exec_module"]], "ivy.utils.backend.ast_helpers.IvyPathFinder": [[787, 0, 1, "", "find_spec"]], "ivy.utils.backend.handler": [[788, 1, 1, "", "ContextManager"], [788, 2, 1, "", "choose_random_backend"], [788, 2, 1, "", "current_backend"], [788, 2, 1, "", "dynamic_backend_converter"], [788, 2, 1, "", "prevent_access_locally"], [788, 2, 1, "", "previous_backend"], [788, 2, 1, "", "set_backend"], [788, 2, 1, "", "set_backend_to_specific_version"], [788, 2, 1, "", "set_jax_backend"], [788, 2, 1, "", "set_mxnet_backend"], [788, 2, 1, "", "set_numpy_backend"], [788, 2, 1, "", "set_paddle_backend"], [788, 2, 1, "", "set_tensorflow_backend"], [788, 2, 1, "", "set_torch_backend"], [788, 2, 1, "", "unset_backend"], [788, 2, 1, "", "with_backend"]], "ivy.utils.backend.handler.ContextManager": [[788, 0, 1, "", "__init__"]], "ivy.utils.backend.sub_backend_handler": [[789, 2, 1, "", "clear_sub_backends"], [789, 2, 1, "", "find_available_sub_backends"], [789, 2, 1, "", "fn_name_from_version_specific_fn_name"], [789, 2, 1, "", "fn_name_from_version_specific_fn_name_sub_backend"], [789, 2, 1, "", "set_sub_backend"], [789, 2, 1, "", "set_sub_backend_to_specific_version"], [789, 2, 1, "", "unset_sub_backend"]], "ivy.utils.binaries": [[790, 2, 1, "", "check_for_binaries"], [790, 2, 1, "", "cleanup_and_fetch_binaries"]], "ivy.utils.dynamic_import": [[791, 2, 1, "", "import_module"]], "ivy.utils.einsum_parser": [[792, 2, 1, "", "convert_interleaved_input"], [792, 2, 1, "", "convert_subscripts"], [792, 2, 1, "", "find_output_shape"], [792, 2, 1, "", "find_output_str"], [792, 2, 1, "", "gen_unused_symbols"], [792, 2, 1, "", "get_symbol"], [792, 2, 1, "", "has_valid_einsum_chars_only"], [792, 2, 1, "", "is_valid_einsum_char"], [792, 2, 1, "", "legalise_einsum_expr"], [792, 2, 1, "", "possibly_convert_to_numpy"]], "ivy.utils.einsum_path_helpers": [[793, 2, 1, "", "can_dot"], [793, 2, 1, "", "compute_size_by_dict"], [793, 2, 1, "", "find_contraction"], [793, 2, 1, "", "flop_count"], [793, 2, 1, "", "greedy_path"], [793, 2, 1, "", "optimal_path"], [793, 2, 1, "", "parse_einsum_input"], [793, 2, 1, "", "parse_possible_contraction"], [793, 2, 1, "", "update_other_results"]], "ivy.utils.exceptions": [[794, 7, 1, "", "InplaceUpdateException"], [794, 7, 1, "", "IvyAttributeError"], [794, 7, 1, "", "IvyBackendException"], [794, 7, 1, "", "IvyBroadcastShapeError"], [794, 7, 1, "", "IvyDeviceError"], [794, 7, 1, "", "IvyDtypePromotionError"], [794, 7, 1, "", "IvyError"], [794, 7, 1, "", "IvyException"], [794, 7, 1, "", "IvyIndexError"], [794, 7, 1, "", "IvyInvalidBackendException"], [794, 7, 1, "", "IvyNotImplementedException"], [794, 7, 1, "", "IvyValueError"], [794, 2, 1, "", "handle_exceptions"]], "ivy.utils.exceptions.InplaceUpdateException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyAttributeError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyBackendException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyBroadcastShapeError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyDeviceError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyDtypePromotionError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyIndexError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyInvalidBackendException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyNotImplementedException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyValueError": [[794, 0, 1, "", "__init__"]], "ivy.utils.inspection": [[795, 2, 1, "", "add_array_specs"], [795, 2, 1, "", "fn_array_spec"]], "ivy.utils.logging": [[796, 2, 1, "", "set_logging_mode"], [796, 2, 1, "", "unset_logging_mode"]], "ivy.utils.profiler": [[797, 1, 1, "", "Profiler"]], "ivy.utils.profiler.Profiler": [[797, 0, 1, "", "__init__"], [797, 4, 1, "", "print_stats"], [797, 4, 1, "", "viz"]], "ivy.utils.verbosity": [[798, 2, 1, "", "cprint"]], "ivy_tests.test_ivy.helpers": [[758, 3, 0, "-", "assertions"], [759, 3, 0, "-", "available_frameworks"], [760, 3, 0, "-", "function_testing"], [761, 3, 0, "-", "globals"], [762, 3, 0, "-", "hypothesis_helpers"], [767, 3, 0, "-", "multiprocessing"], [768, 3, 0, "-", "pipeline_helper"], [769, 3, 0, "-", "structs"], [770, 3, 0, "-", "test_parameter_flags"], [771, 3, 0, "-", "testing_helpers"]], "ivy_tests.test_ivy.helpers.assertions": [[758, 2, 1, "", "assert_all_close"], [758, 2, 1, "", "assert_same_type"], [758, 2, 1, "", "assert_same_type_and_shape"], [758, 2, 1, "", "check_unsupported_device"], [758, 2, 1, "", "check_unsupported_device_and_dtype"], [758, 2, 1, "", "check_unsupported_dtype"], [758, 2, 1, "", "test_unsupported_function"], [758, 2, 1, "", "value_test"]], "ivy_tests.test_ivy.helpers.function_testing": [[760, 2, 1, "", "args_to_container"], [760, 2, 1, "", "args_to_frontend"], [760, 2, 1, "", "arrays_to_frontend"], [760, 2, 1, "", "as_lists"], [760, 2, 1, "", "convtrue"], [760, 2, 1, "", "create_args_kwargs"], [760, 2, 1, "", "flatten"], [760, 2, 1, "", "flatten_and_to_np"], [760, 2, 1, "", "flatten_frontend"], [760, 2, 1, "", "flatten_frontend_fw_to_np"], [760, 2, 1, "", "flatten_frontend_to_np"], [760, 2, 1, "", "get_frontend_ret"], [760, 2, 1, "", "get_ret_and_flattened_np_array"], [760, 2, 1, "", "gradient_incompatible_function"], [760, 2, 1, "", "gradient_test"], [760, 2, 1, "", "gradient_unsupported_dtypes"], [760, 2, 1, "", "kwargs_to_args_n_kwargs"], [760, 2, 1, "", "test_frontend_function"], [760, 2, 1, "", "test_frontend_method"], [760, 2, 1, "", "test_function"], [760, 2, 1, "", "test_function_backend_computation"], [760, 2, 1, "", "test_function_ground_truth_computation"], [760, 2, 1, "", "test_gradient_backend_computation"], [760, 2, 1, "", "test_gradient_ground_truth_computation"], [760, 2, 1, "", "test_method"], [760, 2, 1, "", "test_method_backend_computation"], [760, 2, 1, "", "test_method_ground_truth_computation"], [760, 2, 1, "", "traced_if_required"], [760, 2, 1, "", "wrap_frontend_function_args"]], "ivy_tests.test_ivy.helpers.globals": [[761, 6, 1, "", "CURRENT_FRONTEND_CONFIG"], [761, 7, 1, "", "InterruptedTest"], [761, 1, 1, "", "TestData"], [761, 2, 1, "", "setup_api_test"], [761, 2, 1, "", "setup_frontend_test"], [761, 2, 1, "", "teardown_api_test"], [761, 2, 1, "", "teardown_frontend_test"]], "ivy_tests.test_ivy.helpers.globals.InterruptedTest": [[761, 0, 1, "", "__init__"]], "ivy_tests.test_ivy.helpers.globals.TestData": [[761, 0, 1, "", "__init__"], [761, 4, 1, "", "fn_name"], [761, 4, 1, "", "fn_tree"], [761, 4, 1, "", "is_method"], [761, 4, 1, "", "supported_device_dtypes"], [761, 4, 1, "", "test_fn"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers": [[763, 3, 0, "-", "array_helpers"], [764, 3, 0, "-", "dtype_helpers"], [765, 3, 0, "-", "general_helpers"], [766, 3, 0, "-", "number_helpers"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers": [[763, 2, 1, "", "array_and_broadcastable_shape"], [763, 2, 1, "", "array_bools"], [763, 2, 1, "", "array_helpers_dtype_info_helper"], [763, 2, 1, "", "array_indices_axis"], [763, 2, 1, "", "array_indices_put_along_axis"], [763, 2, 1, "", "array_values"], [763, 2, 1, "", "arrays_and_axes"], [763, 2, 1, "", "arrays_for_pooling"], [763, 2, 1, "", "broadcast_shapes"], [763, 2, 1, "", "cond_data_gen_helper"], [763, 2, 1, "", "create_concatenable_arrays_dtypes"], [763, 2, 1, "", "create_nested_input"], [763, 2, 1, "", "dtype_and_values"], [763, 2, 1, "", "dtype_array_query"], [763, 2, 1, "", "dtype_array_query_val"], [763, 2, 1, "", "dtype_values_axis"], [763, 2, 1, "", "einsum_helper"], [763, 2, 1, "", "get_first_solve_batch_matrix"], [763, 2, 1, "", "get_first_solve_matrix"], [763, 2, 1, "", "get_second_solve_batch_matrix"], [763, 2, 1, "", "get_second_solve_matrix"], [763, 2, 1, "", "list_of_size"], [763, 2, 1, "", "lists"], [763, 2, 1, "", "mutually_broadcastable_shapes"], [763, 2, 1, "", "prod"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers": [[764, 2, 1, "", "array_dtypes"], [764, 2, 1, "", "cast_filter"], [764, 2, 1, "", "cast_filter_helper"], [764, 2, 1, "", "get_castable_dtype"], [764, 2, 1, "", "get_dtypes"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers": [[765, 7, 1, "", "BroadcastError"], [765, 2, 1, "", "apply_safety_factor"], [765, 2, 1, "", "broadcast_shapes"], [765, 2, 1, "", "embedding_helper"], [765, 2, 1, "", "general_helpers_dtype_info_helper"], [765, 2, 1, "", "get_axis"], [765, 2, 1, "", "get_bounds"], [765, 2, 1, "", "get_mean_std"], [765, 2, 1, "", "get_shape"], [765, 2, 1, "", "matrix_is_stable"], [765, 2, 1, "", "reshape_shapes"], [765, 2, 1, "", "subsets"], [765, 2, 1, "", "two_broadcastable_shapes"], [765, 2, 1, "", "x_and_filters"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers": [[766, 2, 1, "", "floats"], [766, 2, 1, "", "ints"], [766, 2, 1, "", "number"]], "ivy_tests.test_ivy.helpers.multiprocessing": [[767, 2, 1, "", "backend_proc"], [767, 2, 1, "", "frontend_proc"]], "ivy_tests.test_ivy.helpers.pipeline_helper": [[768, 1, 1, "", "BackendHandler"], [768, 1, 1, "", "BackendHandlerMode"], [768, 1, 1, "", "WithBackendContext"], [768, 2, 1, "", "get_frontend_config"]], "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler": [[768, 0, 1, "", "update_backend"]], "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode": [[768, 4, 1, "", "SetBackend"], [768, 4, 1, "", "WithBackend"]], "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext": [[768, 0, 1, "", "__init__"]], "ivy_tests.test_ivy.helpers.structs": [[769, 1, 1, "", "FrontendMethodData"]], "ivy_tests.test_ivy.helpers.structs.FrontendMethodData": [[769, 0, 1, "", "__init__"], [769, 4, 1, "", "framework_init_module"], [769, 4, 1, "", "init_name"], [769, 4, 1, "", "ivy_init_module"], [769, 4, 1, "", "method_name"]], "ivy_tests.test_ivy.helpers.test_parameter_flags": [[770, 1, 1, "", "DynamicFlag"], [770, 1, 1, "", "FrontendFunctionTestFlags"], [770, 1, 1, "", "FrontendInitTestFlags"], [770, 1, 1, "", "FrontendMethodTestFlags"], [770, 1, 1, "", "FunctionTestFlags"], [770, 1, 1, "", "InitMethodTestFlags"], [770, 1, 1, "", "MethodTestFlags"], [770, 1, 1, "", "TestFlags"], [770, 2, 1, "", "build_flag"], [770, 2, 1, "", "frontend_function_flags"], [770, 2, 1, "", "frontend_init_flags"], [770, 2, 1, "", "frontend_method_flags"], [770, 2, 1, "", "function_flags"], [770, 2, 1, "", "init_method_flags"], [770, 2, 1, "", "method_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag": [[770, 0, 1, "", "__init__"], [770, 4, 1, "", "strategy"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags": [[770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.testing_helpers": [[771, 2, 1, "", "handle_frontend_method"], [771, 2, 1, "", "handle_frontend_test"], [771, 2, 1, "", "handle_method"], [771, 2, 1, "", "handle_test"], [771, 2, 1, "", "num_positional_args"], [771, 2, 1, "", "num_positional_args_helper"], [771, 2, 1, "", "num_positional_args_method"], [771, 2, 1, "", "seed"]]}, "objtypes": {"0": "py:method", "1": "py:class", "2": "py:function", "3": "py:module", "4": "py:attribute", "5": "py:property", "6": "py:data", "7": "py:exception"}, "objnames": {"0": ["py", "method", "Python method"], "1": ["py", "class", "Python class"], "2": ["py", "function", "Python function"], "3": ["py", "module", "Python module"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "property", "Python property"], "6": ["py", "data", "Python data"], "7": ["py", "exception", "Python exception"]}, "titleterms": {"demo": [0, 2, 3, 4, 15, 26, 40, 41], "creat": [0, 38, 39, 804], "notebook": 0, "TO": 1, "replac": 1, "titl": 1, "exampl": [2, 5, 7, 9, 15, 34, 799, 816, 821, 824, 827, 832, 848, 849, 850], "ivi": [3, 4, 5, 7, 14, 17, 25, 26, 27, 38, 39, 41, 42, 44, 799, 804, 806, 809, 811, 813, 816, 818, 824, 826, 827, 828, 829, 830, 831, 834, 835, 836, 837, 838, 839, 841, 848, 849, 850, 861], "alexnet": 3, "instal": [3, 4, 7, 17, 38, 39, 41, 799, 841], "data": [3, 4, 5, 7, 9, 17, 26, 38, 49, 72, 103, 363, 617, 632, 736, 737, 738, 739, 814, 826, 829, 837, 840], "prepar": [3, 4, 5, 7], "infer": [3, 4, 5, 7, 823], "torch": [3, 4, 5, 7, 34, 41, 855, 856], "tensorflow": [3, 4, 5, 9, 13, 34, 41, 42, 43, 855], "jax": [3, 4, 5, 6, 8, 9, 34, 41, 855], "appendix": [3, 5], "code": [3, 17, 18, 19, 20, 27, 38, 820, 828, 830], "implement": [3, 5, 813, 824, 826, 846], "bert": 4, "dependeci": 4, "import": [4, 5, 7, 9, 17, 38, 39, 42, 791], "modul": [4, 781, 814, 815, 838, 849], "sequenc": [4, 821], "classif": 4, "model": [4, 5, 6, 7, 8, 11, 12, 13, 24, 25, 26, 27, 38, 39, 40, 41, 42, 44, 839, 840], "imag": [5, 7, 55, 78, 248, 801, 811], "segment": 5, "unet": 5, "custom": [5, 809, 811, 824, 828, 837, 840], "preprocess": 5, "load": [5, 7, 9, 756, 837], "visualis": [5, 7], "initi": [5, 7, 778, 838], "nativ": [5, 7, 809, 832], "pretrain": [5, 7], "weight": [5, 7, 837], "mask": 5, "function": [5, 17, 26, 27, 38, 39, 40, 42, 44, 104, 760, 804, 812, 814, 815, 818, 821, 822, 823, 824, 826, 827, 829, 830, 831, 832, 834, 839, 840, 849], "us": [5, 7, 14, 22, 25, 42, 44, 799, 801, 804, 805, 808, 824, 827, 837, 841, 848, 849], "your": [5, 7, 806, 829], "backend": [5, 9, 17, 26, 38, 39, 41, 42, 786, 789, 804, 810, 814, 824, 830, 834, 840], "acceler": [6, 8, 9], "mmpretrain": 6, "resnet": [7, 45], "set": [7, 34, 38, 39, 63, 86, 377, 632, 805, 810, 819, 831, 841], "label": 7, "resnet34": 7, "classifi": 7, "resnet50": 7, "pytorch": [8, 9, 11, 40, 855], "xgboost": 9, "test": [9, 40, 760, 770, 771, 774, 804, 805, 806, 808, 813, 819, 827, 829], "compar": 9, "xgb_frontend": 9, "xgbclassifi": 9, "xgb": 9, "more": [9, 805, 832, 846], "exhaust": 9, "evalu": 9, "train": [9, 38, 40, 42], "time": 9, "v": [9, 21, 31, 34, 820, 840, 845, 848], "number": [9, 766, 821], "boost": 9, "round": [9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 32, 33, 40, 278, 828], "fraction": 9, "comparison": [9, 837], "metric": [9, 42], "guid": [10, 15], "transpil": [11, 12, 13, 20, 21, 22, 23, 24, 26, 27, 30, 31, 32, 33, 34, 40, 44, 799, 839, 841, 849], "build": [11, 12, 13, 42, 801, 811, 834], "top": [11, 12, 13, 813], "up": [11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 32, 33, 40, 805, 819, 828, 841], "haiku": 12, "develop": 14, "convolut": 14, "network": [14, 39, 42, 837, 839], "tutori": [15, 42], "And": 15, "learn": [15, 16, 855], "basic": [15, 16, 38, 39, 806, 826], "write": [17, 25, 826, 829], "content": [17, 40], "handler": [17, 26, 788, 789, 834], "structur": [17, 26, 811, 824, 840], "api": [17, 26, 27, 804, 808, 812, 813, 824, 830, 834, 836, 838, 839, 841, 845, 848, 849, 850, 852, 859, 861], "state": [17, 26, 27, 838, 840, 848], "unifi": [18, 21, 22, 28, 31, 32, 33, 38, 799, 836, 846, 850, 857, 861], "trace": [19, 21, 22, 27, 678, 818], "lazi": [21, 31, 848], "eager": [21, 31, 848], "how": [22, 804, 811, 819, 828, 829], "decor": [22, 33, 818, 823, 829], "ani": [23, 24, 26, 27, 755], "librari": [23, 26, 27, 42, 44, 849], "odsc": 26, "framework": [26, 32, 38, 759, 772, 824, 827, 835, 855, 858, 861, 862], "graph": [26, 43, 856, 861], "tracer": [26, 834, 839, 841, 848, 856, 861], "quickstart": 27, "get": [27, 799, 806, 841], "familiar": 27, "0": [28, 29, 30, 31, 35, 36], "1": [29, 31, 32, 33, 34, 37, 44, 855], "compil": [29, 31, 32, 33, 39, 848, 853, 858, 860, 861], "2": [30, 33, 35, 44, 855], "select": 32, "As": 33, "3": [34, 36, 37, 44], "dynam": [34, 42, 791, 810, 840], "static": 34, "todo": [34, 806], "explain": 34, "via": 34, "why": [34, 829, 846], "mode": [34, 814, 818, 831], "i": [34, 799, 811, 832], "true": 34, "default": [34, 532], "when": [34, 799], "from": [34, 41, 841], "numpi": [34, 41, 826, 855], "fals": 34, "kornia": 35, "perceiv": 36, "stabl": 37, "diffus": 37, "oper": [38, 821, 831, 836, 840], "ml": [38, 844, 857, 861], "chang": 38, "one": 38, "line": [38, 806], "No": [38, 805, 846], "need": [38, 829], "worri": 38, "about": 38, "type": [38, 49, 72, 363, 617, 814, 822, 826, 840], "differ": 38, "them": 38, "all": [38, 754], "standalon": [38, 822], "defin": [38, 39, 40, 42], "optim": [38, 783, 838], "input": [38, 39, 821], "target": 38, "loss": [38, 58, 81, 370, 625, 780], "loop": [38, 42], "sampl": 39, "check": [39, 820, 840], "result": 39, "simpl": 39, "neural": 39, "deepmind": [40, 41], "": [40, 42, 804, 811, 828, 841], "perceiverio": [40, 41], "tabl": [40, 811, 814], "construct": [40, 837], "some": 40, "helper": [40, 762, 763, 764, 765, 766, 768, 771, 777, 787, 793, 827, 829, 830], "pipelin": [40, 42, 768, 811, 813, 829, 840], "dataset": [40, 42], "download": 40, "dataload": 40, "gpu": [41, 840], "introduct": [41, 44, 826, 827], "python3": 41, "8": 41, "setup": [41, 820], "kernel": 41, "clone": [41, 805, 813], "repo": [41, 805], "ivy_model": 41, "run": [41, 806, 808, 811, 819, 829], "end": 42, "let": 42, "we": [42, 829], "ar": 42, "mnist": 42, "thi": 42, "temporari": 42, "loader": 42, "util": [42, 66, 89, 381, 635, 773], "plot": 42, "save": [42, 757, 837], "huggingfac": 43, "deit": 43, "can": 43, "visual": 43, "displai": 43, "html": 43, "file": 43, "browser": [43, 806], "To": [44, 806], "interfac": 44, "telemetri": 44, "18": 45, "activ": [46, 68, 360, 613, 775], "convers": [47, 70, 823], "creation": [48, 71, 362, 616], "devic": [50, 73, 364, 618, 815, 821, 826], "elementwis": [51, 74, 102, 365, 619], "experiment": [52, 75, 620, 804], "gener": [53, 76, 366, 621, 765, 824, 829, 832, 848], "gradient": [54, 77, 342, 367, 622, 824], "layer": [56, 79, 368, 623, 779], "linear": [57, 80, 369, 624, 647], "algebra": [57, 80, 369, 624], "manipul": [59, 82, 371, 626], "norm": [60, 83, 374, 629, 782], "random": [61, 84, 375, 630], "search": [62, 85, 376, 631], "sort": [64, 87, 378, 633, 743], "statist": [65, 88, 380, 634], "wrap": [67, 90, 823], "base": [69, 91, 101], "cp": 92, "tensor": [92, 93, 94, 95, 96, 99], "parafac2": 93, "tr": 94, "tt": 95, "tucker": [96, 441], "arrai": [97, 100, 122, 379, 763, 808, 809, 813, 821, 836, 845, 848, 852], "contain": [98, 806, 812, 837], "factor": 99, "nest": [100, 373, 628], "class": [103, 772, 809, 818, 826, 836], "gelu": 105, "hardswish": 106, "leaky_relu": 107, "log_softmax": 108, "mish": 109, "relu": 110, "sigmoid": 111, "softmax": 112, "softplu": 113, "softsign": 114, "cmp_i": 115, "cmp_isnot": 116, "for_loop": 117, "if_els": 118, "try_except": 119, "while_loop": 120, "arang": 121, "asarrai": 123, "copy_arrai": 124, "empti": 125, "empty_lik": 126, "ey": 127, "from_dlpack": 128, "note": [128, 139, 616], "frombuff": 129, "full": [130, 827], "full_lik": 131, "linspac": 132, "logspac": 133, "meshgrid": 134, "native_arrai": 135, "one_hot": 136, "ones": 137, "ones_lik": 138, "to_dlpack": 139, "tril": 140, "triu": 141, "triu_indic": 142, "zero": 143, "zeros_lik": 144, "as_ivy_dtyp": 145, "as_native_dtyp": 146, "astyp": 147, "broadcast_arrai": 148, "broadcast_to": 149, "can_cast": 150, "check_float": 151, "closest_valid_dtyp": 152, "default_complex_dtyp": 153, "default_dtyp": 154, "default_float_dtyp": 155, "default_int_dtyp": 156, "default_uint_dtyp": 157, "dtype": [158, 764, 821], "dtype_bit": 159, "finfo": 160, "function_supported_dtyp": 161, "function_unsupported_dtyp": 162, "iinfo": 163, "infer_default_dtyp": 164, "invalid_dtyp": 165, "is_bool_dtyp": 166, "is_complex_dtyp": 167, "is_float_dtyp": 168, "is_hashable_dtyp": 169, "is_int_dtyp": 170, "is_native_dtyp": 171, "is_uint_dtyp": 172, "promote_typ": 173, "promote_types_of_input": 174, "result_typ": 175, "set_default_complex_dtyp": 176, "set_default_dtyp": 177, "set_default_float_dtyp": 178, "set_default_int_dtyp": 179, "set_default_uint_dtyp": 180, "type_promote_arrai": 181, "unset_default_complex_dtyp": 182, "unset_default_dtyp": 183, "unset_default_float_dtyp": 184, "unset_default_int_dtyp": 185, "unset_default_uint_dtyp": 186, "valid_dtyp": 187, "as_ivy_dev": 188, "as_native_dev": 189, "clear_cached_mem_on_dev": 190, "default_devic": 191, "dev": 192, "dev_util": 193, "function_supported_devic": 194, "function_unsupported_devic": 195, "get_all_ivy_arrays_on_dev": 196, "gpu_is_avail": 197, "handle_soft_device_vari": 198, "num_cpu_cor": 199, "num_gpu": 200, "num_ivy_arrays_on_dev": 201, "percent_used_mem_on_dev": 202, "print_all_ivy_arrays_on_dev": 203, "set_default_devic": 204, "set_soft_device_mod": 205, "paramet": [205, 566, 567, 572, 573, 575, 576, 618, 621, 770, 775, 831], "set_split_factor": 206, "split_factor": 207, "split_func_cal": 208, "to_devic": 209, "total_mem_on_dev": 210, "tpu_is_avail": 211, "unset_default_devic": 212, "unset_soft_device_mod": 213, "used_mem_on_dev": 214, "ab": 215, "aco": 216, "acosh": 217, "add": [218, 816, 827, 861], "angl": 219, "asin": 220, "asinh": 221, "atan": 222, "atan2": 223, "atanh": 224, "bitwise_and": 225, "bitwise_invert": 226, "bitwise_left_shift": 227, "bitwise_or": 228, "bitwise_right_shift": 229, "bitwise_xor": 230, "ceil": 231, "co": 232, "cosh": 233, "deg2rad": 234, "divid": 235, "equal": 236, "erf": 237, "exp": 238, "exp2": 239, "expm1": 240, "floor": 241, "floor_divid": 242, "fmin": 243, "fmod": 244, "gcd": 245, "greater": 246, "greater_equ": 247, "isfinit": 249, "isinf": 250, "isnan": 251, "isreal": 252, "lcm": 253, "less": 254, "less_equ": 255, "log": [256, 796, 805], "log10": 257, "log1p": 258, "log2": 259, "logaddexp": 260, "logaddexp2": 261, "logical_and": 262, "logical_not": 263, "logical_or": 264, "logical_xor": 265, "maximum": 266, "minimum": 267, "multipli": 268, "nan_to_num": 269, "neg": 270, "not_equ": 271, "posit": [272, 821], "pow": 273, "rad2deg": 274, "real": 275, "reciproc": 276, "remaind": 277, "sign": 279, "sin": 280, "sinh": 281, "sqrt": 282, "squar": 283, "subtract": 284, "tan": [285, 816, 827], "tanh": 286, "trapz": 287, "trunc": 288, "trunc_divid": 289, "celu": 290, "elu": 291, "hardshrink": 292, "hardtanh": 293, "logit": 294, "logsigmoid": 295, "prelu": 296, "relu6": 297, "scaled_tanh": 298, "selu": 299, "silu": 300, "softshrink": 301, "stanh": 302, "tanhshrink": 303, "threshold": 304, "thresholded_relu": 305, "blackman_window": 306, "eye_lik": 307, "hamming_window": 308, "hann_window": 309, "indic": 310, "kaiser_bessel_derived_window": 311, "kaiser_window": 312, "mel_weight_matrix": 313, "ndenumer": 314, "ndindex": 315, "polyv": 316, "random_cp": 317, "random_parafac2": 318, "random_tr": 319, "random_tt": 320, "random_tuck": 321, "tril_indic": 322, "trilu": 323, "unsorted_segment_mean": 324, "unsorted_segment_min": 325, "unsorted_segment_sum": 326, "vorbis_window": 327, "allclos": 328, "amax": 329, "amin": 330, "binar": 331, "conj": 332, "copysign": 333, "count_nonzero": 334, "diff": 335, "digamma": 336, "erfc": 337, "fix": [338, 804, 819], "float_pow": 339, "fmax": 340, "frexp": 341, "hypot": 343, "isclos": 344, "ldexp": 345, "lerp": 346, "lgamma": 347, "modf": 348, "nansum": 349, "nextaft": 350, "signbit": 351, "sinc": 352, "sparsify_tensor": 353, "xlogi": 354, "zeta": 355, "reduc": 356, "bind_custom_gradient_funct": 357, "jvp": 358, "vjp": 359, "constant": [361, 614], "meta": [372, 627], "spars": 379, "adaptive_avg_pool1d": 382, "adaptive_avg_pool2d": 383, "adaptive_max_pool2d": 384, "area_interpol": 385, "avg_pool1d": 386, "avg_pool2d": 387, "avg_pool3d": 388, "dct": 389, "dft": 390, "dropout1d": 391, "dropout2d": 392, "dropout3d": 393, "embed": 394, "fft": 395, "fft2": 396, "generate_einsum_equ": 397, "get_interpolate_kernel": 398, "idct": 399, "ifft": 400, "ifftn": 401, "interp": 402, "interpol": 403, "max_pool1d": 404, "max_pool2d": 405, "max_pool3d": 406, "max_unpool1d": 407, "nearest_interpol": 408, "pool": 409, "reduce_window": 410, "rfft": 411, "rfftn": 412, "rnn": 413, "sliding_window": 414, "stft": 415, "adjoint": 416, "batched_out": 417, "cond": 418, "diagflat": 419, "dot": 420, "eig": [421, 658], "eigh_tridiagon": 422, "eigval": 423, "general_inner_product": 424, "higher_order_mo": 425, "initialize_tuck": 426, "khatri_rao": 427, "kron": 428, "kroneck": 429, "make_svd_non_neg": 430, "matrix_exp": 431, "mode_dot": 432, "multi_dot": 433, "multi_mode_dot": 434, "partial_tuck": 435, "solve_triangular": 436, "svd_flip": 437, "tensor_train": 438, "truncated_svd": 439, "tt_matrix_to_tensor": 440, "huber_loss": 442, "kl_div": 443, "l1_loss": 444, "log_poisson_loss": 445, "poisson_nll_loss": 446, "smooth_l1_loss": 447, "soft_margin_loss": 448, "as_strid": 449, "associative_scan": 450, "atleast_1d": 451, "atleast_2d": 452, "atleast_3d": 453, "broadcast_shap": 454, "check_scalar": 455, "choos": 456, "column_stack": 457, "concat_from_sequ": 458, "dsplit": 459, "dstack": 460, "expand": 461, "fill_diagon": 462, "flatten": 463, "fliplr": 464, "flipud": 465, "fold": 466, "heavisid": 467, "hsplit": 468, "hstack": 469, "i0": 470, "matric": 471, "moveaxi": 472, "pad": 473, "partial_fold": 474, "partial_tensor_to_vec": 475, "partial_unfold": 476, "partial_vec_to_tensor": 477, "put_along_axi": 478, "rot90": 479, "soft_threshold": 480, "take": 481, "take_along_axi": 482, "top_k": 483, "trim_zero": 484, "unfold": 485, "unique_consecut": 486, "vsplit": 487, "vstack": 488, "batch_norm": 489, "group_norm": 490, "instance_norm": 491, "l1_normal": 492, "l2_normal": 493, "local_response_norm": 494, "lp_normal": 495, "bernoulli": 496, "beta": 497, "dirichlet": 498, "gamma": 499, "poisson": 500, "unravel_index": 501, "invert_permut": 502, "lexsort": 503, "is_ivy_sparse_arrai": 504, "is_native_sparse_arrai": 505, "native_sparse_arrai": 506, "native_sparse_array_to_indices_values_and_shap": 507, "bincount": 508, "corrcoef": 509, "cov": 510, "cummax": 511, "cummin": 512, "histogram": 513, "igamma": 514, "median": 515, "nanmean": 516, "nanmedian": 517, "nanmin": 518, "nanprod": 519, "quantil": 520, "optional_get_el": 521, "all_equ": 522, "arg_info": 523, "arg_nam": 524, "array_equ": 525, "assert_supports_inplac": 526, "cache_fn": 527, "clip_matrix_norm": 528, "clip_vector_norm": 529, "container_typ": 530, "current_backend_str": 531, "einops_rearrang": 533, "einops_reduc": 534, "einops_repeat": 535, "exist": [536, 801, 828], "fourier_encod": 537, "function_supported_devices_and_dtyp": 538, "function_unsupported_devices_and_dtyp": 539, "gather": 540, "gather_nd": 541, "get_all_arrays_in_memori": 542, "get_item": 543, "get_num_dim": 544, "get_referrers_recurs": 545, "has_nan": 546, "inplace_arrays_support": 547, "inplace_decr": 548, "inplace_incr": 549, "inplace_upd": 550, "inplace_variables_support": 551, "is_arrai": 552, "is_ivy_arrai": 553, "is_ivy_contain": 554, "is_ivy_nested_arrai": 555, "is_native_arrai": 556, "isin": 557, "isscalar": 558, "items": 559, "match_kwarg": 560, "multiprocess": [561, 767], "num_arrays_in_memori": 562, "print_all_arrays_in_memori": 563, "scatter_flat": 564, "scatter_nd": 565, "set_array_mod": 566, "set_exception_trace_mod": 567, "set_inplace_mod": 568, "set_item": 569, "set_min_bas": 570, "set_min_denomin": 571, "set_nestable_mod": 572, "set_precise_mod": 573, "set_queue_timeout": 574, "set_shape_array_mod": 575, "set_show_func_wrapper_trace_mod": 576, "set_tmp_dir": 577, "shape": [578, 632, 736, 737, 738, 739, 823, 840], "stable_divid": 579, "stable_pow": 580, "stride": 581, "supports_inplace_upd": 582, "to_ivy_shap": 583, "to_list": 584, "to_native_shap": 585, "to_numpi": 586, "to_scalar": 587, "try_else_non": 588, "unset_array_mod": 589, "unset_exception_trace_mod": 590, "unset_inplace_mod": 591, "unset_min_bas": 592, "unset_min_denomin": 593, "unset_nestable_mod": 594, "unset_precise_mod": 595, "unset_queue_timeout": 596, "unset_shape_array_mod": 597, "unset_show_func_wrapper_trace_mod": 598, "unset_tmp_dir": 599, "value_is_nan": 600, "vmap": 601, "adam_step": 602, "adam_upd": 603, "execute_with_gradi": [604, 824], "grad": 605, "gradient_descent_upd": 606, "jac": 607, "lamb_upd": 608, "lars_upd": 609, "optimizer_upd": 610, "stop_gradi": 611, "value_and_grad": 612, "control": [615, 840], "flow": [615, 840], "op": 615, "depend": [632, 736, 737, 738, 739], "output": [632, 736, 737, 738, 739], "conv": 636, "conv1d": 637, "conv1d_transpos": 638, "conv2d": 639, "conv2d_transpos": 640, "conv3d": 641, "conv3d_transpos": 642, "conv_general_dil": 643, "conv_general_transpos": 644, "depthwise_conv2d": 645, "dropout": 646, "lstm_updat": 648, "multi_head_attent": 649, "nm": 650, "roi_align": 651, "scaled_dot_product_attent": 652, "choleski": 653, "cross": 654, "det": 655, "diag": 656, "diagon": 657, "eigh": 659, "eigvalsh": 660, "inner": 661, "inv": 662, "lu_factor": 663, "matmul": 664, "matrix_norm": 665, "matrix_pow": 666, "matrix_rank": 667, "matrix_transpos": 668, "outer": 669, "pinv": 670, "qr": 671, "slogdet": 672, "solv": 673, "svd": 674, "svdval": 675, "tensordot": 676, "tensorsolv": 677, "vander": 679, "vecdot": 680, "vector_norm": 681, "vector_to_skew_symmetric_matrix": 682, "binary_cross_entropi": 683, "cross_entropi": 684, "sparse_cross_entropi": 685, "clip": 686, "concat": 687, "constant_pad": 688, "expand_dim": 689, "flip": 690, "permute_dim": 691, "repeat": 692, "reshap": 693, "roll": [694, 816], "split": 695, "squeez": 696, "stack": [697, 818], "swapax": 698, "tile": 699, "unstack": 700, "zero_pad": 701, "fomaml_step": 702, "maml_step": 703, "reptile_step": 704, "all_nested_indic": 705, "copy_nest": 706, "duplicate_array_index_chain": 707, "index_nest": 708, "insert_into_nest_at_index": 709, "insert_into_nest_at_indic": 710, "map": [711, 813], "map_nest_at_index": 712, "map_nest_at_indic": 713, "multi_index_nest": 714, "nested_ani": 715, "nested_argwher": 716, "nested_map": 717, "nested_multi_map": 718, "prune_empti": 719, "prune_nest_at_index": 720, "prune_nest_at_indic": 721, "set_nest_at_index": 722, "set_nest_at_indic": 723, "layer_norm": 724, "multinomi": 725, "randint": 726, "random_norm": 727, "random_uniform": 728, "seed": 729, "shuffl": 730, "argmax": 731, "argmin": 732, "argwher": 733, "nonzero": 734, "where": [735, 804, 819], "unique_al": 736, "unique_count": 737, "unique_invers": 738, "unique_valu": 739, "argsort": 740, "msort": 741, "searchsort": 742, "cumprod": 744, "cumsum": 745, "einsum": [746, 792, 793], "max": 747, "mean": 748, "min": 749, "prod": 750, "std": 751, "sum": 752, "var": 753, "assert": [758, 785, 818], "avail": 759, "global": [761, 831], "hypothesi": [762, 805, 827, 829], "struct": 769, "flag": 770, "convert": [776, 839], "sequenti": 784, "ast": 787, "sub": 789, "binari": [790, 805], "parser": 792, "path": 793, "except": [794, 818, 823], "inspect": 795, "profil": 797, "verbos": 798, "statu": 799, "ai": 799, "start": [799, 841], "pip": [799, 841], "document": 799, "dive": [799, 807], "deeper": 799, "should": 799, "contribut": [799, 800, 804, 828], "commun": 799, "citat": 799, "doc": [801, 811], "docker": [801, 805, 806, 811, 841], "conveni": [801, 811, 822], "script": [801, 811], "hub": 801, "local": [801, 806, 820], "without": [801, 827], "error": [802, 818, 819], "handl": [802, 809, 815, 818, 823, 840], "help": [803, 806, 819], "resourc": 803, "open": 804, "task": 804, "fail": [804, 819, 829], "frontend": [804, 810, 826, 827, 839], "place": 804, "checklist": 804, "format": [804, 820, 854, 861], "extend": [804, 829, 832], "an": [804, 824], "issu": [804, 806, 820, 841], "github": [804, 805], "templat": 804, "fork": [805, 806], "pre": [805, 820], "commit": [805, 806, 813, 820], "pycharm": [805, 806, 820], "virtual": 805, "environ": 805, "miniconda": 805, "venv": 805, "interpret": 805, "window": 805, "maco": 805, "ubuntu": 805, "detail": 805, "free": 805, "wsl": 805, "codespac": 805, "The": [805, 806, 811, 824, 826, 836, 840, 845], "list": 806, "manag": 806, "who": 806, "ask": [806, 819], "With": 806, "command": 806, "pull": [806, 813], "request": [806, 813], "small": 806, "often": 806, "interact": 806, "most": 806, "out": [806, 821, 823, 825], "id": [806, 808], "deep": 807, "termin": 808, "regener": 808, "failur": 808, "skip": 808, "integr": [809, 813, 820, 828, 829], "version": [810, 830, 840], "support": [810, 814, 823, 826, 840], "builder": 811, "being": 811, "option": 811, "index": 811, "rst": 811, "partial_conf": 811, "py": 811, "prebuild": 811, "sh": 811, "extens": 811, "custom_autosummari": 811, "hide": 811, "discussion_link": 811, "skippable_funct": 811, "ivy_data": 811, "instanc": [812, 826, 827, 836], "method": [812, 826, 827, 836, 837], "special": [812, 814, 826], "nestabl": [812, 821, 822, 823], "continu": [813, 820], "push": 813, "pr": 813, "trigger": 813, "A": [813, 832], "down": 813, "view": [813, 823, 825], "store": 813, "retriev": 813, "repositori": 813, "nitti": 813, "gritti": 813, "storag": 813, "space": 813, "unifyai": 813, "determin": 813, "coverag": 813, "workflow": 813, "multipl": 813, "runner": 813, "race": 813, "condit": 813, "period": 813, "manual": 813, "dispatch": 813, "ci": 813, "dashboard": 813, "promot": [814, 826], "precis": 814, "non": [814, 832], "argument": [814, 815, 821, 823, 825, 826], "other": [814, 815], "unsupport": 814, "attribut": [814, 831], "case": [814, 837], "bug": 814, "cast": [814, 826], "superset": [814, 832], "docstr": [816, 817], "configur": [818, 827, 837], "func_wrapp": 818, "prune": 818, "handle_except": 818, "consist": [818, 829], "prerequir": 819, "common": [819, 820], "lint": [820, 828], "keyword": 821, "integ": 821, "primari": 822, "composit": 822, "mix": [822, 823, 829], "partial": [822, 823, 829], "order": 823, "wrapper": [823, 861, 862], "miscellan": 823, "overview": [824, 828], "usag": [824, 828, 832, 850], "signatur": 824, "design": [824, 830, 833], "our": 824, "polici": [824, 826], "specif": [824, 859, 860, 861], "consider": 824, "inplac": 825, "updat": 825, "copi": 825, "short": 826, "unus": 826, "rule": 826, "duplic": [826, 832], "valu": 827, "alia": 827, "formatt": 828, "functionorderingformatt": 828, "work": [828, 845, 851], "own": 829, "strategi": 829, "do": [829, 845], "effect": 829, "bonu": 829, "featur": 829, "self": 829, "explicit": 829, "test_array_funct": 829, "re": [829, 846], "navig": 830, "categor": 830, "submodul": 830, "unpin": 830, "properti": 831, "getter": 831, "setter": 831, "set_": 831, "unset_": 831, "behaviour": 832, "standard": [832, 845, 852, 861], "what": [832, 861], "balanc": 832, "effici": 832, "maxim": 832, "block": 834, "monkei": 836, "patch": 836, "represent": 837, "recurs": 837, "built": 837, "ins": 837, "access": 837, "compartment": 837, "role": 839, "faq": 840, "maintain": 840, "size": 840, "deploy": 840, "auto": 840, "differenti": 840, "replica": 840, "parallel": 840, "altern": 840, "sourc": 841, "folder": 841, "kei": 841, "question": 841, "glossari": 842, "motiv": 843, "explos": 844, "skeptic": 845, "complimentari": 845, "competit": 845, "infinit": 846, "shelf": 846, "life": 846, "One": 847, "liner": 847, "trace_graph": 848, "cach": 848, "sharp": [848, 849, 850], "bit": [848, 849, 850], "relat": 851, "infrastructur": [853, 861], "llvm": 853, "mlir": 853, "oneapi": 853, "exchang": [854, 861], "onnx": 854, "nnef": 854, "coreml": 854, "matlab": 855, "scipi": 855, "scikit": 855, "theano": 855, "panda": 855, "julia": 855, "apach": [855, 858], "spark": 855, "mllib": 855, "caff": 855, "chainer": 855, "mxnet": 855, "cntk": 855, "flux": 855, "dex": 855, "languag": 855, "tf": 856, "jaxpr": 856, "jit": 856, "fx": 856, "compani": [857, 861], "quansight": 857, "modular": 857, "octoml": 857, "multi": [858, 861], "vendor": [858, 859, 860, 861], "tvm": 858, "xla": 858, "gcc": 858, "tensorrt": 859, "cuda": 859, "icc": 860, "icx": 860, "nvcc": 860, "doe": 861, "eagerpi": 862, "kera": 862, "thinc": 862, "tensorli": 862, "neuropod": 862}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"promote_types": [[173, "promote-types"]], "is_native_dtype": [[171, "is-native-dtype"]], "is_uint_dtype": [[172, "is-uint-dtype"]], "zeros_like": [[144, "zeros-like"]], "finfo": [[160, "finfo"]], "result_type": [[175, "result-type"]], "set_default_dtype": [[177, "set-default-dtype"]], "zeros": [[143, "zeros"]], "default_dtype": [[154, "default-dtype"]], "function_unsupported_dtypes": [[162, "function-unsupported-dtypes"]], "promote_types_of_inputs": [[174, "promote-types-of-inputs"]], "closest_valid_dtype": [[152, "closest-valid-dtype"]], "check_float": [[151, "check-float"]], "function_supported_dtypes": [[161, "function-supported-dtypes"]], "is_bool_dtype": [[166, "is-bool-dtype"]], "default_float_dtype": [[155, "default-float-dtype"]], "unset_default_dtype": [[183, "unset-default-dtype"]], "dtype": [[158, "dtype"]], "set_default_uint_dtype": [[180, "set-default-uint-dtype"]], "set_default_int_dtype": [[179, "set-default-int-dtype"]], "is_hashable_dtype": [[169, "is-hashable-dtype"]], "broadcast_to": [[149, "broadcast-to"]], "invalid_dtype": [[165, "invalid-dtype"]], "default_int_dtype": [[156, "default-int-dtype"]], "iinfo": [[163, "iinfo"]], "as_native_dtype": [[146, "as-native-dtype"]], "type_promote_arrays": [[181, "type-promote-arrays"]], "triu_indices": [[142, "triu-indices"]], "dtype_bits": [[159, "dtype-bits"]], "is_float_dtype": [[168, "is-float-dtype"]], "ones_like": [[138, "ones-like"]], "as_ivy_dtype": [[145, "as-ivy-dtype"]], "broadcast_arrays": [[148, "broadcast-arrays"]], "set_default_complex_dtype": [[176, "set-default-complex-dtype"]], "astype": [[147, "astype"]], "can_cast": [[150, "can-cast"]], "is_complex_dtype": [[167, "is-complex-dtype"]], "tril": [[140, "tril"]], "to_dlpack": [[139, "to-dlpack"]], "Note": [[139, null], [128, null], [616, null], [616, null]], "default_complex_dtype": [[153, "default-complex-dtype"]], "set_default_float_dtype": [[178, "set-default-float-dtype"]], "triu": [[141, "triu"]], "default_uint_dtype": [[157, "default-uint-dtype"]], "infer_default_dtype": [[164, "infer-default-dtype"]], "unset_default_complex_dtype": [[182, "unset-default-complex-dtype"]], "is_int_dtype": [[170, "is-int-dtype"]], "Navigating the Code": [[830, "navigating-the-code"]], "Categorization": [[830, "categorization"]], "Submodule Design": [[830, "submodule-design"]], "Ivy API": [[830, "ivy-api"]], "Backend API": [[830, "backend-api"]], "Submodule Helper Functions": [[830, "submodule-helper-functions"]], "Version Unpinning": [[830, "version-unpinning"]], "Ivy Array": [[836, "ivy-array"], [809, "ivy-array"]], "The Array Class": [[836, "the-array-class"]], "Unifying Operators": [[836, "unifying-operators"]], "API Monkey Patching": [[836, "api-monkey-patching"]], "Instance Methods": [[836, "instance-methods"]], "API Standards": [[852, "api-standards"], [861, "api-standards"]], "Array API Standard": [[852, "id1"]], "ivy.trace_graph()": [[848, "ivy-trace-graph"]], "Tracer API": [[848, "tracer-api"]], "Using the tracer": [[848, "using-the-tracer"]], "Eager vs lazy Compilation": [[848, "eager-vs-lazy-compilation"]], "Array caching": [[848, "array-caching"]], "Generators": [[848, "generators"]], "Stateful": [[848, "stateful"]], "Sharp bits": [[848, "sharp-bits"], [850, "sharp-bits"], [849, "sharp-bits"]], "Examples": [[848, "examples"], [850, "examples"], [849, "examples"], [799, "examples"], [821, "examples"]], "ivy.unify()": [[850, "ivy-unify"]], "Unify API": [[850, "unify-api"]], "Usage": [[850, "usage"]], "Ivy Stateful API": [[838, "ivy-stateful-api"], [26, "Ivy-Stateful-API"], [17, "Ivy-Stateful-API"]], "Modules": [[838, "modules"]], "Initializers": [[838, "initializers"], [778, "module-ivy.stateful.initializers"]], "Optimizers": [[838, "optimizers"], [783, "module-ivy.stateful.optimizers"]], "Superset Behaviour": [[832, "superset-behaviour"]], "Extending the Standard": [[832, "extending-the-standard"]], "What is the Superset?": [[832, "what-is-the-superset"]], "A Non-Duplicate Superset": [[832, "a-non-duplicate-superset"]], "What is not the Superset?": [[832, "what-is-not-the-superset"]], "Balancing Generalization with Efficiency": [[832, "balancing-generalization-with-efficiency"]], "More Examples": [[832, "more-examples"]], "Maximizing Usage of Native Functionality": [[832, "maximizing-usage-of-native-functionality"]], "Why Unify?": [[846, "why-unify"]], "No More Re-implementations \ud83d\udea7": [[846, "no-more-re-implementations"]], "\u201cInfinite\u201d Shelf-Life \u2705": [[846, "infinite-shelf-life"]], "What does Ivy Add?": [[861, "what-does-ivy-add"]], "Wrapper Frameworks": [[861, "wrapper-frameworks"], [862, "wrapper-frameworks"]], "Frameworks": [[861, "frameworks"], [855, "frameworks"]], "Graph Tracers": [[861, "graph-tracers"], [856, "graph-tracers"]], "Exchange Formats": [[861, "exchange-formats"], [854, "exchange-formats"]], "Compiler Infrastructure": [[861, "compiler-infrastructure"], [853, "compiler-infrastructure"]], "Multi-Vendor Compiler Frameworks": [[861, "multi-vendor-compiler-frameworks"], [858, "multi-vendor-compiler-frameworks"]], "Vendor-Specific APIs": [[861, "vendor-specific-apis"], [859, "vendor-specific-apis"]], "Vendor-Specific Compilers": [[861, "vendor-specific-compilers"], [860, "vendor-specific-compilers"]], "ML-Unifying Companies": [[861, "ml-unifying-companies"], [857, "ml-unifying-companies"]], "FAQ": [[840, "faq"]], "Maintaining Backend Versions": [[840, "maintaining-backend-versions"]], "Dynamic Sizes": [[840, "dynamic-sizes"]], "Type and Shape Checking": [[840, "type-and-shape-checking"]], "GPU handling": [[840, "gpu-handling"]], "Model Deployment": [[840, "model-deployment"]], "Dynamic Control Flow": [[840, "dynamic-control-flow"]], "Auto-Differentiation": [[840, "auto-differentiation"]], "Replicas, and Data vs Model Parallelism": [[840, "replicas-and-data-vs-model-parallelism"]], "Support for Functions": [[840, "support-for-functions"]], "Alternative Data Structures": [[840, "alternative-data-structures"]], "Custom Operations": [[840, "custom-operations"]], "The Pipeline": [[840, "the-pipeline"]], "State": [[840, "state"]], "ICC": [[860, "id1"]], "ICX": [[860, "icx"]], "NVCC": [[860, "nvcc"]], "ML Explosion": [[844, "ml-explosion"]], "Apache TVM": [[858, "apache-tvm"]], "XLA": [[858, "xla"]], "GCC": [[858, "gcc"]], "Ivy Tests": [[829, "ivy-tests"], [813, "ivy-tests"]], "Testing Pipeline": [[829, "testing-pipeline"]], "Hypothesis": [[829, "id1"]], "Data Generation": [[829, "id2"]], "Writing your own strategy": [[829, "writing-your-own-strategy"]], "Writing Hypothesis Tests": [[829, "writing-hypothesis-tests"]], "Ivy Test Decorators": [[829, "ivy-test-decorators"]], "Writing Ivy Tests": [[829, "writing-ivy-tests"]], "Integration of Strategies into Ivy Tests": [[829, "integration-of-strategies-into-ivy-tests"]], "Why do we need helper functions?": [[829, "why-do-we-need-helper-functions"]], "How to write Hypothesis Tests effectively": [[829, "how-to-write-hypothesis-tests-effectively"]], "Testing Partial Mixed Functions": [[829, "testing-partial-mixed-functions"]], "Bonus: Hypothesis\u2019 Extended Features": [[829, "bonus-hypothesis-extended-features"]], "Self-Consistent and Explicit Testing": [[829, "self-consistent-and-explicit-testing"]], "test_array_function": [[829, "id4"]], "Running Ivy Tests": [[829, "running-ivy-tests"]], "Re-Running Failed Ivy Tests": [[829, "re-running-failed-ivy-tests"]], "Operating Modes": [[831, "operating-modes"]], "Global Parameter Properties": [[831, "global-parameter-properties"]], "Getter: ivy. attribute": [[831, "getter-ivy-setting-attribute"]], "Setter: ivy.set_ and ivy.unset_ functions": [[831, "setter-ivy-set-setting-and-ivy-unset-setting-functions"]], "Quansight": [[857, "id1"]], "Modular": [[857, "id2"]], "OctoML": [[857, "id3"]], "Ivy as a Framework": [[835, "ivy-as-a-framework"], [26, "Ivy-as-a-Framework"]], "Design": [[833, "design"]], "Ivy as a Transpiler": [[839, "ivy-as-a-transpiler"], [26, "Ivy-as-a-Transpiler"], [27, "Ivy-as-a-Transpiler"]], "Frontend Functional APIs \ud83d\udea7": [[839, "frontend-functional-apis"]], "Role of the Tracer \ud83d\udea7": [[839, "role-of-the-tracer"]], "Converting Network Models \ud83d\udea7": [[839, "converting-network-models"]], "Standardization": [[845, "standardization"]], "Skepticism": [[845, "skepticism"]], "Complimentary vs Competitive": [[845, "complimentary-vs-competitive"]], "Do Standards Work?": [[845, "do-standards-work"]], "The Array API Standard": [[845, "the-array-api-standard"]], "Glossary": [[842, "glossary"]], "Related Work": [[851, "related-work"]], "Motivation": [[843, "motivation"]], "Ivy-Lint: Ivy\u2019s Custom Code Formatters": [[828, "ivy-lint-ivy-s-custom-code-formatters"]], "Overview": [[828, "overview"], [824, "overview"]], "Existing Formatters": [[828, "existing-formatters"]], "FunctionOrderingFormatter": [[828, "functionorderingformatter"]], "How the Formatter Works:": [[828, "how-the-formatter-works"]], "Integration and Usage": [[828, "integration-and-usage"]], "Contribution": [[828, "contribution"]], "Round Up": [[828, "round-up"], [31, "Round-Up"], [13, "Round-Up"], [11, "Round-Up"], [33, "Round-Up"], [30, "Round-Up"], [29, "Round-Up"], [40, "Round-Up"], [17, "Round-Up"], [19, "Round-Up"], [27, "Round-Up"], [28, "Round-Up"], [18, "Round-Up"], [20, "Round-Up"], [23, "Round-Up"], [22, "Round-Up"], [32, "Round-Up"], [21, "Round-Up"]], "Ivy Container": [[837, "ivy-container"]], "Construction": [[837, "construction"]], "Representation": [[837, "representation"]], "Recursive Methods": [[837, "recursive-methods"]], "Built-ins": [[837, "built-ins"]], "Access": [[837, "access"]], "Saving and Loading": [[837, "saving-and-loading"]], "Comparisons": [[837, "comparisons"]], "Customized Representations": [[837, "customized-representations"]], "Use Cases": [[837, "use-cases"]], "Compartmentalization": [[837, "compartmentalization"]], "Configuration": [[837, "configuration"]], "Data loading": [[837, "data-loading"]], "Network weights": [[837, "network-weights"]], "tf.Graph": [[856, "tf-graph"]], "Jaxpr": [[856, "jaxpr"]], "torch.jit": [[856, "torch-jit"]], "torch.fx": [[856, "torch-fx"]], "TensorRT tensorrt": [[859, "tensorrt-tensorrt"]], "CUDA cuda": [[859, "cuda-cuda"]], "Get Started": [[841, "get-started"]], "Installing using pip": [[841, "installing-using-pip"], [799, "installing-using-pip"]], "Docker": [[841, "docker"]], "Installing from source": [[841, "installing-from-source"]], "Ivy\u2019s tracer and transpiler": [[841, "ivy-s-tracer-and-transpiler"]], "Ivy Folder": [[841, "ivy-folder"]], "Setting Up the API key": [[841, "setting-up-the-api-key"]], "Issues and Questions": [[841, "issues-and-questions"]], "One liners": [[847, "one-liners"]], "Building Blocks": [[834, "building-blocks"]], "Backend Functional APIs \u2705": [[834, "backend-functional-apis"]], "Ivy Functional API \u2705": [[834, "ivy-functional-api"]], "Backend Handler \u2705": [[834, "backend-handler"]], "Tracer \ud83d\udea7": [[834, "tracer"]], "ivy.transpile()": [[849, "ivy-transpile"]], "Transpiler API": [[849, "transpiler-api"]], "Using the transpiler": [[849, "using-the-transpiler"]], "Transpiling functions": [[849, "transpiling-functions"]], "Transpiling Libraries": [[849, "transpiling-libraries"]], "Transpiling Modules": [[849, "transpiling-modules"]], "ONNX onnx": [[854, "onnx-onnx"]], "NNEF nnef": [[854, "nnef-nnef"]], "CoreML coreml": [[854, "coreml-coreml"]], "EagerPy eagerpy": [[862, "eagerpy-eagerpy"]], "Keras keras": [[862, "keras-keras"]], "Thinc thinc": [[862, "thinc-thinc"]], "TensorLy tensorly": [[862, "tensorly-tensorly"]], "NeuroPod": [[862, "id1"]], "LLVM": [[853, "id1"]], "MLIR": [[853, "id2"]], "OneAPI": [[853, "id3"]], "MATLAB matlab": [[855, "matlab-matlab"]], "SciPy scipy": [[855, "scipy-scipy"]], "Torch torch": [[855, "torch-torch"]], "NumPy numpy": [[855, "numpy-numpy"]], "SciKit Learn scikit-learn": [[855, "scikit-learn-scikit-learn"]], "Theano theano": [[855, "theano-theano"]], "Pandas pandas": [[855, "pandas-pandas"]], "Julia julia": [[855, "julia-julia"]], "Apache Spark MLlib apache-spark-mllib": [[855, "apache-spark-mllib-apache-spark-mllib"]], "Caffe caffe": [[855, "caffe-caffe"]], "Chainer chainer": [[855, "chainer-chainer"]], "TensorFlow 1 tensorflow-1": [[855, "tensorflow-1-tensorflow-1"]], "MXNet mxnet": [[855, "mxnet-mxnet"]], "CNTK cntk": [[855, "cntk-cntk"]], "PyTorch pytorch": [[855, "pytorch-pytorch"]], "Flux flux": [[855, "flux-flux"]], "JAX jax": [[855, "jax-jax"]], "TensorFlow 2 tensorflow-2": [[855, "tensorflow-2-tensorflow-2"]], "DEX Language dex-language": [[855, "dex-language-dex-language"]], "from_dlpack": [[128, "from-dlpack"]], "arange": [[121, "arange"]], "Data classes": [[103, "data-classes"]], "one_hot": [[136, "one-hot"]], "logspace": [[133, "logspace"]], "leaky_relu": [[107, "leaky-relu"]], "meshgrid": [[134, "meshgrid"]], "sigmoid": [[111, "sigmoid"]], "cmp_isnot": [[116, "cmp-isnot"]], "Tt tensor": [[95, "module-ivy.data_classes.factorized_tensor.tt_tensor"]], "linspace": [[132, "linspace"]], "mish": [[109, "mish"]], "for_loop": [[117, "for-loop"]], "softplus": [[113, "softplus"]], "eye": [[127, "eye"]], "Cp tensor": [[92, "module-ivy.data_classes.factorized_tensor.cp_tensor"]], "asarray": [[123, "asarray"]], "Factorized tensor": [[99, "factorized-tensor"]], "try_except": [[119, "try-except"]], "native_array": [[135, "native-array"]], "ones": [[137, "ones"]], "empty": [[125, "empty"]], "Nested array": [[100, "nested-array"]], "Base": [[101, "module-ivy.data_classes.nested_array.base"], [91, "module-ivy.data_classes.factorized_tensor.base"], [69, "module-ivy.data_classes.container.base"]], "softsign": [[114, "softsign"]], "full_like": [[131, "full-like"]], "Tr tensor": [[94, "module-ivy.data_classes.factorized_tensor.tr_tensor"]], "if_else": [[118, "if-else"]], "Elementwise": [[102, "module-ivy.data_classes.nested_array.elementwise"], [619, "elementwise"], [365, "elementwise"], [74, "module-ivy.data_classes.container.elementwise"], [51, "module-ivy.data_classes.array.elementwise"]], "softmax": [[112, "softmax"]], "while_loop": [[120, "while-loop"]], "Parafac2 tensor": [[93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"]], "hardswish": [[106, "hardswish"]], "gelu": [[105, "gelu"]], "full": [[130, "full"]], "Array": [[97, "array"]], "cmp_is": [[115, "cmp-is"]], "relu": [[110, "relu"]], "array": [[122, "array"]], "Tucker tensor": [[96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"]], "Functions": [[104, "functions"]], "frombuffer": [[129, "frombuffer"]], "log_softmax": [[108, "log-softmax"]], "empty_like": [[126, "empty-like"]], "copy_array": [[124, "copy-array"]], "Container": [[98, "container"]], "Deep Dive": [[807, "deep-dive"]], "Helpful Resources": [[803, "helpful-resources"]], "Handler": [[788, "module-ivy.utils.backend.handler"]], "Open Tasks": [[804, "open-tasks"]], "Fixing Failing Tests": [[804, "fixing-failing-tests"]], "How to Contribute": [[804, "how-to-contribute"]], "Frontend APIs": [[804, "frontend-apis"]], "Where to place a frontend function": [[804, "where-to-place-a-frontend-function"]], "Frontend checklist": [[804, "frontend-checklist"]], "Function Formatting": [[804, "function-formatting"]], "Formatting checklist": [[804, "formatting-checklist"]], "Ivy Experimental API": [[804, "ivy-experimental-api"]], "Extending the Ivy API": [[804, "extending-the-ivy-api"]], "Where to place a backend function": [[804, "where-to-place-a-backend-function"]], "Creating an Issue on Ivy\u2019s GitHub using a Template": [[804, "creating-an-issue-on-ivy-s-github-using-a-template"]], "Function Wrapping": [[823, "function-wrapping"]], "Decorator order": [[823, "decorator-order"]], "Conversion Wrappers": [[823, "conversion-wrappers"]], "Inference Wrappers": [[823, "inference-wrappers"]], "Out Argument Support": [[823, "out-argument-support"]], "Nestable Support": [[823, "nestable-support"]], "Partial Mixed Function Support": [[823, "partial-mixed-function-support"]], "Shape Conversion": [[823, "shape-conversion"]], "View Handling": [[823, "view-handling"]], "Exception Handling": [[823, "exception-handling"], [818, "exception-handling"]], "Miscellaneous Wrappers": [[823, "miscellaneous-wrappers"]], "Backend": [[786, "backend"]], "Assertions": [[785, "module-ivy.utils.assertions"], [758, "module-ivy_tests.test_ivy.helpers.assertions"]], "Logging": [[796, "module-ivy.utils.logging"]], "Binaries": [[790, "module-ivy.utils.binaries"]], "Gradients": [[824, "gradients"], [622, "gradients"], [367, "gradients"], [77, "module-ivy.data_classes.container.gradients"], [54, "module-ivy.data_classes.array.gradients"]], "Example Usage of the Gradient API": [[824, "example-usage-of-the-gradient-api"]], "The ivy.execute_with_gradients() function signature": [[824, "the-ivy-execute-with-gradients-function-signature"]], "An example using ivy.execute_with_gradients()": [[824, "an-example-using-ivy-execute-with-gradients"]], "Custom Gradient Functions": [[824, "custom-gradient-functions"]], "Design of the Gradient API": [[824, "design-of-the-gradient-api"]], "Our policy on gradients": [[824, "our-policy-on-gradients"]], "Gradient APIs of frameworks": [[824, "gradient-apis-of-frameworks"]], "General Structure of Backend-specific implementations": [[824, "general-structure-of-backend-specific-implementations"]], "Framework-specific Considerations": [[824, "framework-specific-considerations"]], "Ivy Frontend Tests": [[827, "ivy-frontend-tests"]], "Introduction": [[827, "introduction"], [826, "introduction"], [41, "Introduction"]], "Frontend Test Examples": [[827, "frontend-test-examples"]], "ivy.tan()": [[827, "ivy-tan"]], "ivy.full()": [[827, "ivy-full"]], "Testing Without Using Tests Values": [[827, "testing-without-using-tests-values"]], "Alias functions": [[827, "alias-functions"]], "Frontend Instance Method Tests": [[827, "frontend-instance-method-tests"]], "Frontend Instance Method Test Examples": [[827, "frontend-instance-method-test-examples"]], "ivy.add()": [[827, "ivy-add"]], "Hypothesis Helpers": [[827, "hypothesis-helpers"]], "Frontend Framework Testing Configuration": [[827, "frontend-framework-testing-configuration"]], "Continuous Integration": [[813, "continuous-integration"], [820, "continuous-integration"]], "Commit (Push/PR) Triggered Testing": [[813, "commit-push-pr-triggered-testing"]], "Implementation": [[813, "implementation"]], "A Top-Down View": [[813, "a-top-down-view"]], "Storing (and retrieving) the Mapping": [[813, "storing-and-retrieving-the-mapping"]], "Cloning and Pushing to the Repository": [[813, "cloning-and-pushing-to-the-repository"]], "Implementational Nitty Gritties": [[813, "implementational-nitty-gritties"]], "Storage Space (unifyai/Mapping)": [[813, "storage-space-unifyai-mapping"]], "Determine Test Coverage Workflow": [[813, "determine-test-coverage-workflow"]], "Multiple Runners": [[813, "multiple-runners"]], "Race Condition": [[813, "race-condition"]], "Array API Tests": [[813, "array-api-tests"], [808, "array-api-tests"]], "Periodic Testing": [[813, "periodic-testing"]], "Manually Dispatched Workflows": [[813, "manually-dispatched-workflows"]], "CI Pipeline \u27a1\ufe0f": [[813, "ci-pipeline"]], "Push": [[813, "push"]], "Pull Request": [[813, "pull-request"]], "Dashboard": [[813, "dashboard"]], "Backend Setting": [[810, "backend-setting"]], "Dynamic Backend Setting": [[810, "dynamic-backend-setting"]], "Backend and Frontend Version Support": [[810, "backend-and-frontend-version-support"]], "Ivy Frontends": [[826, "ivy-frontends"]], "The Frontend Basics": [[826, "the-frontend-basics"]], "Writing Frontend Functions": [[826, "writing-frontend-functions"]], "Short Frontend Implementations": [[826, "short-frontend-implementations"]], "Unused Arguments": [[826, "unused-arguments"]], "Supported Data Types and Devices": [[826, "supported-data-types-and-devices"]], "Classes and Instance Methods": [[826, "classes-and-instance-methods"]], "Frontend Data Type Promotion Rules": [[826, "frontend-data-type-promotion-rules"]], "NumPy Special Argument - Casting": [[826, "numpy-special-argument-casting"]], "Frontends Duplicate Policy": [[826, "frontends-duplicate-policy"]], "Inplace Updates": [[825, "inplace-updates"]], "out argument": [[825, "out-argument"]], "copy argument": [[825, "copy-argument"]], "Views": [[825, "views"]], "Exceptions": [[794, "module-ivy.utils.exceptions"]], "Containers": [[812, "containers"]], "Container Instance Methods": [[812, "container-instance-methods"]], "API Instance Methods": [[812, "api-instance-methods"]], "API Special Methods": [[812, "api-special-methods"]], "Nestable Functions": [[812, "nestable-functions"], [821, "nestable-functions"], [822, "nestable-functions"]], "Sub backend handler": [[789, "module-ivy.utils.backend.sub_backend_handler"]], "Inspection": [[795, "module-ivy.utils.inspection"]], "Formatting": [[820, "formatting"]], "Lint Checks": [[820, "lint-checks"], [820, "id2"]], "Setup Formatting Locally": [[820, "setup-formatting-locally"]], "Pre-commit": [[820, "pre-commit"]], "VS Code": [[820, "vs-code"]], "PyCharm": [[820, "pycharm"], [805, "pycharm"]], "Common Issues with Pre-Commit": [[820, "common-issues-with-pre-commit"]], "Lint Formatting": [[820, "lint-formatting"]], "Building the Docs Pipeline": [[811, "building-the-docs-pipeline"]], "How the doc-builder is being run": [[811, "how-the-doc-builder-is-being-run"]], "The convenience script": [[811, "the-convenience-script"]], "Options": [[811, "options"]], "The Docker image": [[811, "the-docker-image"]], "How Ivy\u2019s docs is structured": [[811, "how-ivy-s-docs-is-structured"]], "index.rst": [[811, "index-rst"]], "partial_conf.py": [[811, "partial-conf-py"]], "prebuild.sh": [[811, "prebuild-sh"]], "Custom Extensions": [[811, "custom-extensions"]], "custom_autosummary": [[811, "custom-autosummary"]], ":hide-table:": [[811, "hide-table"]], "discussion_linker": [[811, "discussion-linker"]], "skippable_function": [[811, "skippable-function"]], "ivy_data": [[811, "ivy-data"]], "Contributing": [[800, "contributing"], [799, "contributing"]], "Docstring Examples": [[816, "docstring-examples"]], "ivy.tan": [[816, "ivy-tan"]], "ivy.roll": [[816, "ivy-roll"]], "ivy.add": [[816, "ivy-add"]], "Running the Tests": [[808, "running-the-tests"]], "Using Terminal": [[808, "using-terminal"]], "Using the IDE": [[808, "using-the-ide"]], "Regenerating Test Failures": [[808, "regenerating-test-failures"]], "Test Skipping": [[808, "test-skipping"]], "Einsum path helpers": [[793, "module-ivy.utils.einsum_path_helpers"]], "The Basics": [[806, "the-basics"]], "Getting Help": [[806, "getting-help"]], "ToDo List Issues": [[806, "todo-list-issues"]], "Managing Your Fork": [[806, "managing-your-fork"]], "Who To Ask": [[806, "who-to-ask"]], "With Command Line:": [[806, "with-command-line"]], "With Browser:": [[806, "with-browser"]], "Pull Requests": [[806, "pull-requests"]], "Small Commits Often": [[806, "small-commits-often"]], "Interactive Ivy Docker Container": [[806, "interactive-ivy-docker-container"]], "Running Tests Locally": [[806, "running-tests-locally"]], "With Docker": [[806, "with-docker"]], "Getting the most out of IDE": [[806, "getting-the-most-out-of-ide"]], "with PyCharm": [[806, "with-pycharm"]], "Norms": [[782, "module-ivy.stateful.norms"], [629, "norms"], [374, "norms"], [83, "module-ivy.data_classes.container.norms"], [60, "module-ivy.data_classes.array.norms"]], "Status": [[799, "status"]], "Unified AI": [[799, "unified-ai"]], "Getting started": [[799, "getting-started"]], "Installing ivy": [[799, "installing-ivy"]], "Using Ivy": [[799, "using-ivy"]], "Documentation": [[799, "documentation"]], "Diving deeper": [[799, "diving-deeper"]], "When should I use Ivy as a transpiler?": [[799, "when-should-i-use-ivy-as-a-transpiler"]], "Community": [[799, "community"]], "Citation": [[799, "citation"]], "Ivy Exception Class": [[818, "ivy-exception-class"]], "Configurable Mode for Stack Trace": [[818, "configurable-mode-for-stack-trace"]], "Ivy func_wrapper Pruning": [[818, "ivy-func-wrapper-pruning"]], "@handle_exceptions Decorator": [[818, "handle-exceptions-decorator"]], "Consistency in Errors": [[818, "consistency-in-errors"]], "Assertion Function": [[818, "assertion-function"]], "Profiler": [[797, "module-ivy.utils.profiler"]], "Building the Docs": [[801, "building-the-docs"]], "Building the Docs using Docker": [[801, "building-the-docs-using-docker"]], "Using convenience script": [[801, "using-convenience-script"]], "Using existing image on Docker Hub": [[801, "using-existing-image-on-docker-hub"]], "Building the image locally": [[801, "building-the-image-locally"]], "Building the Docs without Docker": [[801, "building-the-docs-without-docker"]], "Arrays": [[809, "arrays"]], "Native Array": [[809, "native-array"]], "Array Handling": [[809, "array-handling"]], "Integrating custom classes with Ivy": [[809, "integrating-custom-classes-with-ivy"]], "Function Arguments": [[821, "function-arguments"]], "Positional and Keyword Arguments": [[821, "positional-and-keyword-arguments"]], "Input Arrays": [[821, "input-arrays"]], "out Argument": [[821, "out-argument"]], "dtype and device arguments": [[821, "dtype-and-device-arguments"]], "Numbers in Operator Functions": [[821, "numbers-in-operator-functions"]], "Integer Sequences": [[821, "integer-sequences"]], "Fix Failing Tests:": [[819, "fix-failing-tests"]], "Prerequirement:": [[819, "prerequirement"]], "Setting Up": [[819, "setting-up"], [805, "setting-up"]], "How to run tests": [[819, "how-to-run-tests"]], "Common Errors": [[819, "common-errors"]], "Where to ask for Help": [[819, "where-to-ask-for-help"]], "Devices": [[815, "devices"]], "Device Module": [[815, "device-module"]], "Arguments in other Functions": [[815, "arguments-in-other-functions"], [814, "arguments-in-other-functions"]], "Device handling": [[815, "device-handling"]], "Dynamic import": [[791, "module-ivy.utils.dynamic_import"]], "Ast helpers": [[787, "module-ivy.utils.backend.ast_helpers"]], "Error Handling": [[802, "error-handling"]], "Verbosity": [[798, "module-ivy.utils.verbosity"]], "Forking and cloning the repo": [[805, "forking-and-cloning-the-repo"]], "Pre-Commit": [[805, "pre-commit"]], "Virtual environments - No Docker": [[805, "virtual-environments-no-docker"]], "Using miniconda": [[805, "using-miniconda"]], "Using venv": [[805, "using-venv"]], "Docker Interpreter with PyCharm": [[805, "docker-interpreter-with-pycharm"]], "Windows": [[805, "windows"], [805, "id6"]], "MacOS": [[805, "macos"]], "Ubuntu": [[805, "ubuntu"], [805, "id8"]], "Setting Up Testing in PyCharm": [[805, "setting-up-testing-in-pycharm"]], "More Detailed Hypothesis Logs in PyCharm": [[805, "more-detailed-hypothesis-logs-in-pycharm"]], "Setting up for Free": [[805, "setting-up-for-free"]], "WSL": [[805, "wsl"]], "GitHub Codespaces": [[805, "github-codespaces"]], "The Binaries": [[805, "the-binaries"]], "Data Types": [[814, "data-types"]], "Data Type Module": [[814, "data-type-module"]], "Data Type Promotion": [[814, "data-type-promotion"]], "Precise Mode": [[814, "precise-mode"]], "Precise Promotion Table": [[814, "precise-promotion-table"]], "Non-Precise Promotion Table": [[814, "non-precise-promotion-table"]], "Supported and Unsupported Data Types": [[814, "supported-and-unsupported-data-types"]], "Supported and Unsupported Data Types Attributes": [[814, "supported-and-unsupported-data-types-attributes"]], "Special Case": [[814, "special-case"]], "Backend Data Type Bugs": [[814, "backend-data-type-bugs"]], "Data Type Casting Modes": [[814, "data-type-casting-modes"]], "Superset Data Type Support": [[814, "superset-data-type-support"]], "Docstrings": [[817, "docstrings"]], "Function Types": [[822, "function-types"]], "Primary Functions": [[822, "primary-functions"]], "Compositional Functions": [[822, "compositional-functions"]], "Mixed Functions": [[822, "mixed-functions"]], "Partial Mixed Functions": [[822, "partial-mixed-functions"]], "Standalone Functions": [[822, "standalone-functions"]], "Convenience Functions": [[822, "convenience-functions"]], "Einsum parser": [[792, "module-ivy.utils.einsum_parser"]], "Sequential": [[784, "module-ivy.stateful.sequential"]], "where": [[735, "where"]], "repeat": [[692, "repeat"]], "random_normal": [[727, "random-normal"]], "nested_multi_map": [[718, "nested-multi-map"]], "multi_index_nest": [[714, "multi-index-nest"]], "set_nest_at_indices": [[723, "set-nest-at-indices"]], "split": [[695, "split"]], "copy_nest": [[706, "copy-nest"]], "map_nest_at_index": [[712, "map-nest-at-index"]], "nested_any": [[715, "nested-any"]], "set_nest_at_index": [[722, "set-nest-at-index"]], "zero_pad": [[701, "zero-pad"]], "multinomial": [[725, "multinomial"]], "insert_into_nest_at_indices": [[710, "insert-into-nest-at-indices"]], "roll": [[694, "roll"]], "permute_dims": [[691, "permute-dims"]], "fomaml_step": [[702, "fomaml-step"]], "prune_nest_at_index": [[720, "prune-nest-at-index"]], "flip": [[690, "flip"]], "layer_norm": [[724, "layer-norm"]], "swapaxes": [[698, "swapaxes"]], "all_nested_indices": [[705, "all-nested-indices"]], "reshape": [[693, "reshape"]], "index_nest": [[708, "index-nest"]], "prune_nest_at_indices": [[721, "prune-nest-at-indices"]], "argwhere": [[733, "argwhere"]], "prune_empty": [[719, "prune-empty"]], "random_uniform": [[728, "random-uniform"]], "argmin": [[732, "argmin"]], "shuffle": [[730, "shuffle"]], "reptile_step": [[704, "reptile-step"]], "nested_argwhere": [[716, "nested-argwhere"]], "randint": [[726, "randint"]], "map_nest_at_indices": [[713, "map-nest-at-indices"]], "stack": [[697, "stack"]], "nonzero": [[734, "nonzero"]], "tile": [[699, "tile"]], "seed": [[729, "seed"]], "squeeze": [[696, "squeeze"]], "unstack": [[700, "unstack"]], "insert_into_nest_at_index": [[709, "insert-into-nest-at-index"]], "nested_map": [[717, "nested-map"]], "argmax": [[731, "argmax"]], "duplicate_array_index_chains": [[707, "duplicate-array-index-chains"]], "map": [[711, "map"]], "maml_step": [[703, "maml-step"]], "Utils": [[773, "utils"]], "max": [[747, "max"]], "msort": [[741, "msort"]], "any": [[755, "any"]], "Pipeline helper": [[768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"]], "Dtype helpers": [[764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"]], "var": [[753, "var"]], "Hypothesis helpers": [[762, "hypothesis-helpers"]], "Number helpers": [[766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"]], "Testing": [[774, "testing"], [40, "Testing"]], "load": [[756, "load"]], "Converters": [[776, "module-ivy.stateful.converters"]], "Structs": [[769, "module-ivy_tests.test_ivy.helpers.structs"]], "unique_all": [[736, "unique-all"]], "Data-dependent output shape": [[736, null], [738, null], [739, null], [737, null], [632, null], [632, null], [632, null], [632, null]], "mean": [[748, "mean"]], "Available frameworks": [[759, "module-ivy_tests.test_ivy.helpers.available_frameworks"]], "Module": [[781, "module-ivy.stateful.module"]], "Array helpers": [[763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"]], "cumsum": [[745, "cumsum"]], "einsum": [[746, "einsum"]], "Multiprocessing": [[767, "module-ivy_tests.test_ivy.helpers.multiprocessing"]], "sum": [[752, "sum"]], "min": [[749, "min"]], "Helpers": [[777, "module-ivy.stateful.helpers"]], "General helpers": [[765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"]], "Layers": [[779, "module-ivy.stateful.layers"], [623, "layers"], [368, "layers"], [79, "module-ivy.data_classes.container.layers"], [56, "module-ivy.data_classes.array.layers"]], "Framework classes": [[772, "framework-classes"]], "unique_inverse": [[738, "unique-inverse"]], "cumprod": [[744, "cumprod"]], "Test parameter flags": [[770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"]], "unique_values": [[739, "unique-values"]], "std": [[751, "std"]], "unique_counts": [[737, "unique-counts"]], "all": [[754, "all"]], "save": [[757, "save"]], "Losses": [[780, "module-ivy.stateful.losses"], [625, "losses"], [370, "losses"], [58, "module-ivy.data_classes.array.losses"], [81, "module-ivy.data_classes.container.losses"]], "Function testing": [[760, "module-ivy_tests.test_ivy.helpers.function_testing"]], "Globals": [[761, "module-ivy_tests.test_ivy.helpers.globals"]], "prod": [[750, "prod"]], "Testing helpers": [[771, "module-ivy_tests.test_ivy.helpers.testing_helpers"]], "sort": [[743, "sort"]], "argsort": [[740, "argsort"]], "Activations": [[775, "module-ivy.stateful.activations"], [613, "activations"], [360, "activations"], [68, "module-ivy.data_classes.container.activations"], [46, "module-ivy.data_classes.array.activations"]], "Parameter": [[775, "parameter"], [775, "id1"], [566, "parameter"], [567, "parameter"], [573, "parameter"], [576, "parameter"], [575, "parameter"], [572, "parameter"], [621, "parameter"], [621, "id1"], [621, "id2"], [621, "id3"], [621, "id4"], [621, "id5"], [618, "parameter"], [205, "parameter"]], "searchsorted": [[742, "searchsorted"]], "lu_factor": [[663, "lu-factor"]], "svd": [[674, "svd"]], "diag": [[656, "diag"]], "matrix_norm": [[665, "matrix-norm"]], "qr": [[671, "qr"]], "trace": [[678, "trace"]], "constant_pad": [[688, "constant-pad"]], "lstm_update": [[648, "lstm-update"]], "eig": [[658, "eig"], [421, "eig"]], "eigh": [[659, "eigh"]], "matrix_transpose": [[668, "matrix-transpose"]], "outer": [[669, "outer"]], "tensorsolve": [[677, "tensorsolve"]], "conv_general_transpose": [[644, "conv-general-transpose"]], "vander": [[679, "vander"]], "diagonal": [[657, "diagonal"]], "scaled_dot_product_attention": [[652, "scaled-dot-product-attention"]], "concat": [[687, "concat"]], "det": [[655, "det"]], "solve": [[673, "solve"]], "cross_entropy": [[684, "cross-entropy"]], "cross": [[654, "cross"]], "matrix_power": [[666, "matrix-power"]], "inv": [[662, "inv"]], "svdvals": [[675, "svdvals"]], "clip": [[686, "clip"]], "multi_head_attention": [[649, "multi-head-attention"]], "dropout": [[646, "dropout"]], "nms": [[650, "nms"]], "tensordot": [[676, "tensordot"]], "vector_to_skew_symmetric_matrix": [[682, "vector-to-skew-symmetric-matrix"]], "matrix_rank": [[667, "matrix-rank"]], "sparse_cross_entropy": [[685, "sparse-cross-entropy"]], "linear": [[647, "linear"]], "slogdet": [[672, "slogdet"]], "pinv": [[670, "pinv"]], "expand_dims": [[689, "expand-dims"]], "depthwise_conv2d": [[645, "depthwise-conv2d"]], "cholesky": [[653, "cholesky"]], "inner": [[661, "inner"]], "vecdot": [[680, "vecdot"]], "vector_norm": [[681, "vector-norm"]], "binary_cross_entropy": [[683, "binary-cross-entropy"]], "roi_align": [[651, "roi-align"]], "matmul": [[664, "matmul"]], "eigvalsh": [[660, "eigvalsh"]], "scatter_flat": [[564, "scatter-flat"]], "itemsize": [[559, "itemsize"]], "set_min_denominator": [[571, "set-min-denominator"]], "unset_nestable_mode": [[594, "unset-nestable-mode"]], "to_native_shape": [[585, "to-native-shape"]], "unset_precise_mode": [[595, "unset-precise-mode"]], "unset_shape_array_mode": [[597, "unset-shape-array-mode"]], "set_array_mode": [[566, "set-array-mode"]], "set_exception_trace_mode": [[567, "set-exception-trace-mode"]], "stable_pow": [[580, "stable-pow"]], "is_ivy_container": [[554, "is-ivy-container"]], "is_native_array": [[556, "is-native-array"]], "num_arrays_in_memory": [[562, "num-arrays-in-memory"]], "unset_min_base": [[592, "unset-min-base"]], "set_precise_mode": [[573, "set-precise-mode"]], "strides": [[581, "strides"]], "to_list": [[584, "to-list"]], "isin": [[557, "isin"]], "set_show_func_wrapper_trace_mode": [[576, "set-show-func-wrapper-trace-mode"]], "set_item": [[569, "set-item"]], "unset_min_denominator": [[593, "unset-min-denominator"]], "set_shape_array_mode": [[575, "set-shape-array-mode"]], "unset_exception_trace_mode": [[590, "unset-exception-trace-mode"]], "set_min_base": [[570, "set-min-base"]], "to_numpy": [[586, "to-numpy"]], "supports_inplace_updates": [[582, "supports-inplace-updates"]], "set_nestable_mode": [[572, "set-nestable-mode"]], "set_queue_timeout": [[574, "set-queue-timeout"]], "unset_array_mode": [[589, "unset-array-mode"]], "scatter_nd": [[565, "scatter-nd"]], "isscalar": [[558, "isscalar"]], "is_array": [[552, "is-array"]], "to_ivy_shape": [[583, "to-ivy-shape"]], "shape": [[578, "shape"]], "unset_queue_timeout": [[596, "unset-queue-timeout"]], "multiprocessing": [[561, "multiprocessing"]], "set_inplace_mode": [[568, "set-inplace-mode"]], "print_all_arrays_in_memory": [[563, "print-all-arrays-in-memory"]], "is_ivy_array": [[553, "is-ivy-array"]], "unset_inplace_mode": [[591, "unset-inplace-mode"]], "set_tmp_dir": [[577, "set-tmp-dir"]], "try_else_none": [[588, "try-else-none"]], "is_ivy_nested_array": [[555, "is-ivy-nested-array"]], "to_scalar": [[587, "to-scalar"]], "stable_divide": [[579, "stable-divide"]], "match_kwargs": [[560, "match-kwargs"]], "gather_nd": [[541, "gather-nd"]], "gather": [[540, "gather"]], "clip_matrix_norm": [[528, "clip-matrix-norm"]], "einops_repeat": [[535, "einops-repeat"]], "fourier_encode": [[537, "fourier-encode"]], "native_sparse_array_to_indices_values_and_shape": [[507, "native-sparse-array-to-indices-values-and-shape"]], "array_equal": [[525, "array-equal"]], "inplace_increment": [[549, "inplace-increment"]], "nanprod": [[519, "nanprod"]], "get_referrers_recursive": [[545, "get-referrers-recursive"]], "assert_supports_inplace": [[526, "assert-supports-inplace"]], "native_sparse_array": [[506, "native-sparse-array"]], "get_all_arrays_in_memory": [[542, "get-all-arrays-in-memory"]], "all_equal": [[522, "all-equal"]], "nanmin": [[518, "nanmin"]], "clip_vector_norm": [[529, "clip-vector-norm"]], "inplace_arrays_supported": [[547, "inplace-arrays-supported"]], "einops_reduce": [[534, "einops-reduce"]], "has_nans": [[546, "has-nans"]], "inplace_variables_supported": [[551, "inplace-variables-supported"]], "cummin": [[512, "cummin"]], "inplace_update": [[550, "inplace-update"]], "optional_get_element": [[521, "optional-get-element"]], "cummax": [[511, "cummax"]], "container_types": [[530, "container-types"]], "exists": [[536, "exists"]], "igamma": [[514, "igamma"]], "nanmean": [[516, "nanmean"]], "einops_rearrange": [[533, "einops-rearrange"]], "corrcoef": [[509, "corrcoef"]], "histogram": [[513, "histogram"]], "bincount": [[508, "bincount"]], "default": [[532, "default"]], "nanmedian": [[517, "nanmedian"]], "cache_fn": [[527, "cache-fn"]], "arg_names": [[524, "arg-names"]], "function_supported_devices_and_dtypes": [[538, "function-supported-devices-and-dtypes"]], "quantile": [[520, "quantile"]], "cov": [[510, "cov"]], "arg_info": [[523, "arg-info"]], "get_item": [[543, "get-item"]], "get_num_dims": [[544, "get-num-dims"]], "median": [[515, "median"]], "inplace_decrement": [[548, "inplace-decrement"]], "function_unsupported_devices_and_dtypes": [[539, "function-unsupported-devices-and-dtypes"]], "current_backend_str": [[531, "current-backend-str"]], "partial_vec_to_tensor": [[477, "partial-vec-to-tensor"]], "flatten": [[463, "flatten"]], "soft_thresholding": [[480, "soft-thresholding"]], "fill_diagonal": [[462, "fill-diagonal"]], "group_norm": [[490, "group-norm"]], "moveaxis": [[472, "moveaxis"]], "take_along_axis": [[482, "take-along-axis"]], "l2_normalize": [[493, "l2-normalize"]], "beta": [[497, "beta"]], "flipud": [[465, "flipud"]], "fliplr": [[464, "fliplr"]], "i0": [[470, "i0"]], "rot90": [[479, "rot90"]], "unravel_index": [[501, "unravel-index"]], "lexsort": [[503, "lexsort"]], "instance_norm": [[491, "instance-norm"]], "dstack": [[460, "dstack"]], "take": [[481, "take"]], "batch_norm": [[489, "batch-norm"]], "trim_zeros": [[484, "trim-zeros"]], "partial_unfold": [[476, "partial-unfold"]], "local_response_norm": [[494, "local-response-norm"]], "hstack": [[469, "hstack"]], "pad": [[473, "pad"]], "top_k": [[483, "top-k"]], "invert_permutation": [[502, "invert-permutation"]], "bernoulli": [[496, "bernoulli"]], "hsplit": [[468, "hsplit"]], "is_native_sparse_array": [[505, "is-native-sparse-array"]], "heaviside": [[467, "heaviside"]], "fold": [[466, "fold"]], "expand": [[461, "expand"]], "dirichlet": [[498, "dirichlet"]], "partial_tensor_to_vec": [[475, "partial-tensor-to-vec"]], "partial_fold": [[474, "partial-fold"]], "put_along_axis": [[478, "put-along-axis"]], "is_ivy_sparse_array": [[504, "is-ivy-sparse-array"]], "unique_consecutive": [[486, "unique-consecutive"]], "l1_normalize": [[492, "l1-normalize"]], "gamma": [[499, "gamma"]], "vsplit": [[487, "vsplit"]], "poisson": [[500, "poisson"]], "unfold": [[485, "unfold"]], "lp_normalize": [[495, "lp-normalize"]], "matricize": [[471, "matricize"]], "vstack": [[488, "vstack"]], "value_and_grad": [[612, "value-and-grad"]], "conv1d": [[637, "conv1d"]], "Nest": [[628, "nest"], [373, "module-ivy.functional.ivy.experimental.nest"]], "grad": [[605, "grad"]], "Experimental": [[620, "experimental"], [52, "module-ivy.data_classes.array.experimental"], [75, "module-ivy.data_classes.container.experimental"]], "conv2d_transpose": [[640, "conv2d-transpose"]], "unset_tmp_dir": [[599, "unset-tmp-dir"]], "adam_step": [[602, "adam-step"]], "conv3d": [[641, "conv3d"]], "lars_update": [[609, "lars-update"]], "value_is_nan": [[600, "value-is-nan"]], "optimizer_update": [[610, "optimizer-update"]], "Meta": [[627, "meta"], [372, "module-ivy.functional.ivy.experimental.meta"]], "Set": [[632, "set"], [377, "module-ivy.functional.ivy.experimental.set"], [86, "module-ivy.data_classes.container.set"], [63, "module-ivy.data_classes.array.set"]], "vmap": [[601, "vmap"]], "Constants": [[614, "module-ivy.functional.ivy.constants"], [361, "module-ivy.functional.ivy.experimental.constants"]], "conv1d_transpose": [[638, "conv1d-transpose"]], "unset_show_func_wrapper_trace_mode": [[598, "unset-show-func-wrapper-trace-mode"]], "General": [[621, "general"], [366, "general"], [53, "module-ivy.data_classes.array.general"], [76, "module-ivy.data_classes.container.general"]], "Device": [[618, "device"], [364, "module-ivy.functional.ivy.experimental.device"], [50, "module-ivy.data_classes.array.device"], [73, "module-ivy.data_classes.container.device"]], "Random": [[630, "random"], [375, "random"], [84, "module-ivy.data_classes.container.random"], [61, "module-ivy.data_classes.array.random"]], "conv": [[636, "conv"]], "execute_with_gradients": [[604, "execute-with-gradients"]], "Utility": [[635, "utility"], [381, "utility"], [66, "module-ivy.data_classes.array.utility"], [89, "module-ivy.data_classes.container.utility"]], "conv3d_transpose": [[642, "conv3d-transpose"]], "gradient_descent_update": [[606, "gradient-descent-update"]], "jac": [[607, "jac"]], "Manipulation": [[626, "manipulation"], [371, "manipulation"], [59, "module-ivy.data_classes.array.manipulation"], [82, "module-ivy.data_classes.container.manipulation"]], "Creation": [[616, "creation"], [362, "creation"], [48, "module-ivy.data_classes.array.creation"], [71, "module-ivy.data_classes.container.creation"]], "conv_general_dilated": [[643, "conv-general-dilated"]], "Data type": [[617, "data-type"], [363, "module-ivy.functional.ivy.experimental.data_type"], [49, "module-ivy.data_classes.array.data_type"], [72, "module-ivy.data_classes.container.data_type"]], "lamb_update": [[608, "lamb-update"]], "Statistical": [[634, "statistical"], [380, "statistical"], [65, "module-ivy.data_classes.array.statistical"], [88, "module-ivy.data_classes.container.statistical"]], "stop_gradient": [[611, "stop-gradient"]], "Searching": [[631, "searching"], [376, "searching"], [62, "module-ivy.data_classes.array.searching"], [85, "module-ivy.data_classes.container.searching"]], "Sorting": [[633, "sorting"], [378, "sorting"], [64, "module-ivy.data_classes.array.sorting"], [87, "module-ivy.data_classes.container.sorting"]], "conv2d": [[639, "conv2d"]], "adam_update": [[603, "adam-update"]], "Control flow ops": [[615, "control-flow-ops"]], "Linear algebra": [[624, "linear-algebra"], [369, "linear-algebra"], [57, "module-ivy.data_classes.array.linear_algebra"], [80, "module-ivy.data_classes.container.linear_algebra"]], "smooth_l1_loss": [[447, "smooth-l1-loss"]], "stft": [[415, "stft"]], "diagflat": [[419, "diagflat"]], "mode_dot": [[432, "mode-dot"]], "sliding_window": [[414, "sliding-window"]], "truncated_svd": [[439, "truncated-svd"]], "poisson_nll_loss": [[446, "poisson-nll-loss"]], "atleast_2d": [[452, "atleast-2d"]], "initialize_tucker": [[426, "initialize-tucker"]], "atleast_1d": [[451, "atleast-1d"]], "huber_loss": [[442, "huber-loss"]], "check_scalar": [[455, "check-scalar"]], "batched_outer": [[417, "batched-outer"]], "dsplit": [[459, "dsplit"]], "higher_order_moment": [[425, "higher-order-moment"]], "column_stack": [[457, "column-stack"]], "multi_dot": [[433, "multi-dot"]], "kl_div": [[443, "kl-div"]], "khatri_rao": [[427, "khatri-rao"]], "l1_loss": [[444, "l1-loss"]], "atleast_3d": [[453, "atleast-3d"]], "soft_margin_loss": [[448, "soft-margin-loss"]], "cond": [[418, "cond"]], "tt_matrix_to_tensor": [[440, "tt-matrix-to-tensor"]], "partial_tucker": [[435, "partial-tucker"]], "adjoint": [[416, "adjoint"]], "general_inner_product": [[424, "general-inner-product"]], "solve_triangular": [[436, "solve-triangular"]], "log_poisson_loss": [[445, "log-poisson-loss"]], "broadcast_shapes": [[454, "broadcast-shapes"]], "kronecker": [[429, "kronecker"]], "svd_flip": [[437, "svd-flip"]], "tensor_train": [[438, "tensor-train"]], "choose": [[456, "choose"]], "dot": [[420, "dot"]], "concat_from_sequence": [[458, "concat-from-sequence"]], "make_svd_non_negative": [[430, "make-svd-non-negative"]], "multi_mode_dot": [[434, "multi-mode-dot"]], "eigh_tridiagonal": [[422, "eigh-tridiagonal"]], "kron": [[428, "kron"]], "tucker": [[441, "tucker"]], "associative_scan": [[450, "associative-scan"]], "matrix_exp": [[431, "matrix-exp"]], "as_strided": [[449, "as-strided"]], "eigvals": [[423, "eigvals"]], "unsorted_segment_mean": [[324, "unsorted-segment-mean"]], "hypot": [[343, "hypot"]], "modf": [[348, "modf"]], "sinc": [[352, "sinc"]], "digamma": [[336, "digamma"]], "lgamma": [[347, "lgamma"]], "gradient": [[342, "gradient"]], "tril_indices": [[322, "tril-indices"]], "binarizer": [[331, "binarizer"]], "jvp": [[358, "jvp"]], "unsorted_segment_min": [[325, "unsorted-segment-min"]], "diff": [[335, "diff"]], "isclose": [[344, "isclose"]], "reduce": [[356, "reduce"]], "erfc": [[337, "erfc"]], "frexp": [[341, "frexp"]], "bind_custom_gradient_function": [[357, "bind-custom-gradient-function"]], "zeta": [[355, "zeta"]], "vjp": [[359, "vjp"]], "sparsify_tensor": [[353, "sparsify-tensor"]], "xlogy": [[354, "xlogy"]], "ldexp": [[345, "ldexp"]], "count_nonzero": [[334, "count-nonzero"]], "amax": [[329, "amax"]], "lerp": [[346, "lerp"]], "float_power": [[339, "float-power"]], "fix": [[338, "fix"]], "trilu": [[323, "trilu"]], "vorbis_window": [[327, "vorbis-window"]], "signbit": [[351, "signbit"]], "fmax": [[340, "fmax"]], "amin": [[330, "amin"]], "unsorted_segment_sum": [[326, "unsorted-segment-sum"]], "allclose": [[328, "allclose"]], "conj": [[332, "conj"]], "nextafter": [[350, "nextafter"]], "nansum": [[349, "nansum"]], "copysign": [[333, "copysign"]], "dft": [[390, "dft"]], "dropout1d": [[391, "dropout1d"]], "adaptive_max_pool2d": [[384, "adaptive-max-pool2d"]], "rfftn": [[412, "rfftn"]], "ifftn": [[401, "ifftn"]], "fft": [[395, "fft"]], "fft2": [[396, "fft2"]], "avg_pool1d": [[386, "avg-pool1d"]], "dropout2d": [[392, "dropout2d"]], "generate_einsum_equation": [[397, "generate-einsum-equation"]], "idct": [[399, "idct"]], "interp": [[402, "interp"]], "max_pool2d": [[405, "max-pool2d"]], "max_unpool1d": [[407, "max-unpool1d"]], "avg_pool3d": [[388, "avg-pool3d"]], "max_pool3d": [[406, "max-pool3d"]], "Sparse array": [[379, "sparse-array"]], "pool": [[409, "pool"]], "nearest_interpolate": [[408, "nearest-interpolate"]], "interpolate": [[403, "interpolate"]], "get_interpolate_kernel": [[398, "get-interpolate-kernel"]], "rnn": [[413, "rnn"]], "area_interpolate": [[385, "area-interpolate"]], "reduce_window": [[410, "reduce-window"]], "ifft": [[400, "ifft"]], "adaptive_avg_pool2d": [[383, "adaptive-avg-pool2d"]], "rfft": [[411, "rfft"]], "max_pool1d": [[404, "max-pool1d"]], "adaptive_avg_pool1d": [[382, "adaptive-avg-pool1d"]], "dropout3d": [[393, "dropout3d"]], "avg_pool2d": [[387, "avg-pool2d"]], "dct": [[389, "dct"]], "embedding": [[394, "embedding"]], "scaled_tanh": [[298, "scaled-tanh"]], "silu": [[300, "silu"]], "softshrink": [[301, "softshrink"]], "subtract": [[284, "subtract"]], "sign": [[279, "sign"]], "trapz": [[287, "trapz"]], "hann_window": [[309, "hann-window"]], "celu": [[290, "celu"]], "polyval": [[316, "polyval"]], "hamming_window": [[308, "hamming-window"]], "kaiser_bessel_derived_window": [[311, "kaiser-bessel-derived-window"]], "sin": [[280, "sin"]], "random_parafac2": [[318, "random-parafac2"]], "blackman_window": [[306, "blackman-window"]], "ndindex": [[315, "ndindex"]], "trunc_divide": [[289, "trunc-divide"]], "hardtanh": [[293, "hardtanh"]], "tanhshrink": [[303, "tanhshrink"]], "threshold": [[304, "threshold"]], "logsigmoid": [[295, "logsigmoid"]], "trunc": [[288, "trunc"]], "logit": [[294, "logit"]], "prelu": [[296, "prelu"]], "reciprocal": [[276, "reciprocal"]], "random_tr": [[319, "random-tr"]], "thresholded_relu": [[305, "thresholded-relu"]], "square": [[283, "square"]], "stanh": [[302, "stanh"]], "tanh": [[286, "tanh"]], "eye_like": [[307, "eye-like"]], "random_tt": [[320, "random-tt"]], "random_cp": [[317, "random-cp"]], "tan": [[285, "tan"]], "elu": [[291, "elu"]], "remainder": [[277, "remainder"]], "selu": [[299, "selu"]], "round": [[278, "round"]], "indices": [[310, "indices"]], "sqrt": [[282, "sqrt"]], "random_tucker": [[321, "random-tucker"]], "kaiser_window": [[312, "kaiser-window"]], "sinh": [[281, "sinh"]], "mel_weight_matrix": [[313, "mel-weight-matrix"]], "relu6": [[297, "relu6"]], "hardshrink": [[292, "hardshrink"]], "ndenumerate": [[314, "ndenumerate"]], "divide": [[235, "divide"]], "isreal": [[252, "isreal"]], "rad2deg": [[274, "rad2deg"]], "greater_equal": [[247, "greater-equal"]], "lcm": [[253, "lcm"]], "maximum": [[266, "maximum"]], "isfinite": [[249, "isfinite"]], "less_equal": [[255, "less-equal"]], "pow": [[273, "pow"]], "expm1": [[240, "expm1"]], "fmod": [[244, "fmod"]], "exp2": [[239, "exp2"]], "log2": [[259, "log2"]], "real": [[275, "real"]], "erf": [[237, "erf"]], "positive": [[272, "positive"]], "logaddexp2": [[261, "logaddexp2"]], "greater": [[246, "greater"]], "cosh": [[233, "cosh"]], "imag": [[248, "imag"]], "multiply": [[268, "multiply"]], "minimum": [[267, "minimum"]], "logical_not": [[263, "logical-not"]], "not_equal": [[271, "not-equal"]], "log": [[256, "log"]], "cos": [[232, "cos"]], "exp": [[238, "exp"]], "isnan": [[251, "isnan"]], "negative": [[270, "negative"]], "logical_xor": [[265, "logical-xor"]], "fmin": [[243, "fmin"]], "gcd": [[245, "gcd"]], "logical_and": [[262, "logical-and"]], "log1p": [[258, "log1p"]], "bitwise_xor": [[230, "bitwise-xor"]], "floor": [[241, "floor"]], "floor_divide": [[242, "floor-divide"]], "isinf": [[250, "isinf"]], "deg2rad": [[234, "deg2rad"]], "nan_to_num": [[269, "nan-to-num"]], "log10": [[257, "log10"]], "ceil": [[231, "ceil"]], "less": [[254, "less"]], "equal": [[236, "equal"]], "logical_or": [[264, "logical-or"]], "logaddexp": [[260, "logaddexp"]], "dev": [[192, "dev"]], "set_default_device": [[204, "set-default-device"]], "as_native_dev": [[189, "as-native-dev"]], "asin": [[220, "asin"]], "get_all_ivy_arrays_on_dev": [[196, "get-all-ivy-arrays-on-dev"]], "add": [[218, "add"]], "handle_soft_device_variable": [[198, "handle-soft-device-variable"]], "print_all_ivy_arrays_on_dev": [[203, "print-all-ivy-arrays-on-dev"]], "total_mem_on_dev": [[210, "total-mem-on-dev"]], "bitwise_right_shift": [[229, "bitwise-right-shift"]], "num_cpu_cores": [[199, "num-cpu-cores"]], "percent_used_mem_on_dev": [[202, "percent-used-mem-on-dev"]], "function_unsupported_devices": [[195, "function-unsupported-devices"]], "angle": [[219, "angle"]], "to_device": [[209, "to-device"]], "bitwise_invert": [[226, "bitwise-invert"]], "unset_default_float_dtype": [[184, "unset-default-float-dtype"]], "used_mem_on_dev": [[214, "used-mem-on-dev"]], "atan": [[222, "atan"]], "tpu_is_available": [[211, "tpu-is-available"]], "asinh": [[221, "asinh"]], "valid_dtype": [[187, "valid-dtype"]], "bitwise_and": [[225, "bitwise-and"]], "bitwise_or": [[228, "bitwise-or"]], "num_ivy_arrays_on_dev": [[201, "num-ivy-arrays-on-dev"]], "set_soft_device_mode": [[205, "set-soft-device-mode"]], "unset_soft_device_mode": [[213, "unset-soft-device-mode"]], "as_ivy_dev": [[188, "as-ivy-dev"]], "split_func_call": [[208, "split-func-call"]], "acos": [[216, "acos"]], "clear_cached_mem_on_dev": [[190, "clear-cached-mem-on-dev"]], "gpu_is_available": [[197, "gpu-is-available"]], "set_split_factor": [[206, "set-split-factor"]], "bitwise_left_shift": [[227, "bitwise-left-shift"]], "function_supported_devices": [[194, "function-supported-devices"]], "unset_default_uint_dtype": [[186, "unset-default-uint-dtype"]], "split_factor": [[207, "split-factor"]], "atanh": [[224, "atanh"]], "num_gpus": [[200, "num-gpus"]], "abs": [[215, "abs"]], "acosh": [[217, "acosh"]], "atan2": [[223, "atan2"]], "unset_default_device": [[212, "unset-default-device"]], "dev_util": [[193, "dev-util"]], "unset_default_int_dtype": [[185, "unset-default-int-dtype"]], "default_device": [[191, "default-device"]], "Wrapping": [[67, "module-ivy.data_classes.array.wrapping"], [90, "module-ivy.data_classes.container.wrapping"]], "Conversions": [[47, "module-ivy.data_classes.array.conversions"], [70, "module-ivy.data_classes.container.conversions"]], "Image": [[78, "module-ivy.data_classes.container.image"], [55, "module-ivy.data_classes.array.image"]], "Guides": [[10, "guides"], [15, "guides"]], "1.0: Lazy vs Eager": [[31, "1.0:-Lazy-vs-Eager"]], "Unify": [[31, "Unify"], [33, "Unify"], [22, "Unify"], [32, "Unify"], [21, "Unify"]], "Compile": [[31, "Compile"], [33, "Compile"], [32, "Compile"]], "Transpile": [[31, "Transpile"], [33, "Transpile"], [22, "Transpile"], [32, "Transpile"], [21, "Transpile"]], "Using Ivy ResNet": [[7, "Using-Ivy-ResNet"]], "Installation": [[7, "Installation"], [3, "Installation"]], "Imports": [[7, "Imports"], [5, "Imports"], [9, "Imports"]], "Data Preparation": [[7, "Data-Preparation"], [5, "Data-Preparation"], [3, "Data-Preparation"], [4, "Data-Preparation"]], "Prepare the set of labels": [[7, "Prepare-the-set-of-labels"]], "Load the image example \ud83d\uddbc\ufe0f": [[7, "Load-the-image-example-\ud83d\uddbc\ufe0f"], [5, "Load-the-image-example-\ud83d\uddbc\ufe0f"]], "Visualise image": [[7, "Visualise-image"], [5, "Visualise-image"]], "Model Inference ResNet34": [[7, "Model-Inference-ResNet34"]], "Initializing Native Torch ResNet34": [[7, "Initializing-Native-Torch-ResNet34"]], "Initializing Ivy ResNet34 with Pretrained Weights \u2b07\ufe0f": [[7, "Initializing-Ivy-ResNet34-with-Pretrained-Weights-\u2b07\ufe0f"]], "Use the model to classify your images \ud83d\ude80": [[7, "Use-the-model-to-classify-your-images-\ud83d\ude80"], [7, "id1"]], "Model Inference ResNet50": [[7, "Model-Inference-ResNet50"]], "Initializing Native Torch ResNet50": [[7, "Initializing-Native-Torch-ResNet50"]], "Initializing Ivy ResNet50 with Pretrained Weights \u2b07\ufe0f": [[7, "Initializing-Ivy-ResNet50-with-Pretrained-Weights-\u2b07\ufe0f"]], "Image Segmentation with Ivy UNet": [[5, "Image-Segmentation-with-Ivy-UNet"]], "Custom Preprocessing": [[5, "Custom-Preprocessing"]], "Model Inference": [[5, "Model-Inference"]], "Initializing Native Torch UNet": [[5, "Initializing-Native-Torch-UNet"]], "Initializing Ivy UNet with Pretrained Weights \u2b07\ufe0f": [[5, "Initializing-Ivy-UNet-with-Pretrained-Weights-\u2b07\ufe0f"]], "Custom masking function": [[5, "Custom-masking-function"]], "Use the model to segment your images \ud83d\ude80": [[5, "Use-the-model-to-segment-your-images-\ud83d\ude80"]], "TensorFlow backend": [[5, "TensorFlow-backend"]], "JAX": [[5, "JAX"]], "Appendix: the Ivy native implementation of UNet": [[5, "Appendix:-the-Ivy-native-implementation-of-UNet"]], "Ivy AlexNet demo": [[3, "Ivy-AlexNet-demo"]], "Ivy AlexNet inference in Torch": [[3, "Ivy-AlexNet-inference-in-Torch"]], "TensorFlow inference": [[3, "TensorFlow-inference"]], "JAX inference": [[3, "JAX-inference"]], "Appendix (Ivy code for AlexNet implementation)": [[3, "Appendix-(Ivy-code-for-AlexNet-implementation)"]], "Ivy as a Transpiler Introduction": [[44, "Ivy-as-a-Transpiler-Introduction"]], "To use the transpiler:": [[44, "To-use-the-transpiler:"]], "Transpiler Interface": [[44, "Transpiler-Interface"]], "Telemetry": [[44, "Telemetry"]], "1. Transpile Functions \ud83d\udd22": [[44, "1.-Transpile-Functions-\ud83d\udd22"]], "2. Transpile Libraries \ud83d\udcda": [[44, "2.-Transpile-Libraries-\ud83d\udcda"]], "3. Transpile Models \ud83c\udf10": [[44, "3.-Transpile-Models-\ud83c\udf10"]], "Compilation of a Basic Function": [[39, "Compilation-of-a-Basic-Function"]], "Installs \ud83d\udcbe": [[39, "Installs-\ud83d\udcbe"], [38, "Installs-\ud83d\udcbe"]], "Imports \ud83d\udec3": [[39, "Imports-\ud83d\udec3"], [38, "Imports-\ud83d\udec3"]], "Import Ivy compiler": [[39, "Import-Ivy-compiler"]], "Function compilation \ud83d\udee0": [[39, "Function-compilation-\ud83d\udee0"]], "Set backend": [[39, "Set-backend"]], "Sample input": [[39, "Sample-input"]], "Define function to compile": [[39, "Define-function-to-compile"]], "Compile the function": [[39, "Compile-the-function"]], "Check results": [[39, "Check-results"], [39, "id1"]], "Compiling simple neural network \ud83e\udde0": [[39, "Compiling-simple-neural-network-\ud83e\udde0"]], "Define Model": [[39, "Define-Model"], [38, "Define-Model"]], "Create model": [[39, "Create-model"]], "Define input": [[39, "Define-input"]], "Compile network": [[39, "Compile-network"]], "Basic Operations with Ivy": [[38, "Basic-Operations-with-Ivy"]], "Ivy as a Unified ML Framework \ud83d\udd00": [[38, "Ivy-as-a-Unified-ML-Framework-\ud83d\udd00"]], "Change frameworks by one line of code \u261d": [[38, "Change-frameworks-by-one-line-of-code-\u261d"]], "No need to worry about data types \ud83c\udfa8": [[38, "No-need-to-worry-about-data-types-\ud83c\udfa8"]], "No need to worry about framework differences \ud83d\udcb1": [[38, "No-need-to-worry-about-framework-differences-\ud83d\udcb1"]], "Unifying them all! \ud83c\udf72": [[38, "Unifying-them-all!-\ud83c\udf72"]], "Ivy as a standalone ML framework \ud83c\udf00": [[38, "Ivy-as-a-standalone-ML-framework-\ud83c\udf00"]], "Set Backend Framework": [[38, "Set-Backend-Framework"]], "Create Model": [[38, "Create-Model"]], "Create Optimizer": [[38, "Create-Optimizer"]], "Input and Target": [[38, "Input-and-Target"]], "Loss Function": [[38, "Loss-Function"]], "Training Loop": [[38, "Training-Loop"]], "Accelerating MMPreTrain models with JAX": [[6, "Accelerating-MMPreTrain-models-with-JAX"]], "Accelerating XGBoost with JAX": [[9, "Accelerating-XGBoost-with-JAX"]], "Tests": [[9, "Tests"]], "Loading the Data": [[9, "Loading-the-Data"]], "Comparing xgb_frontend.XGBClassifier and xgb.XGBClassifier": [[9, "Comparing-xgb_frontend.XGBClassifier-and-xgb.XGBClassifier"]], "JAX backend": [[9, "JAX-backend"]], "Tensorflow backend": [[9, "Tensorflow-backend"]], "PyTorch backend": [[9, "PyTorch-backend"]], "More exhaustive example": [[9, "More-exhaustive-example"]], "Evaluating Training Time vs. Number of Boosting Rounds": [[9, "Evaluating-Training-Time-vs.-Number-of-Boosting-Rounds"]], "Training Time vs. Fractions of Data": [[9, "Training-Time-vs.-Fractions-of-Data"]], "Comparison of Metrics": [[9, "Comparison-of-Metrics"]], "Transpiling a Tensorflow model to build on top": [[13, "Transpiling-a-Tensorflow-model-to-build-on-top"]], "ODSC Ivy Demo": [[26, "ODSC-Ivy-Demo"]], "Ivy Backend Handler": [[26, "Ivy-Backend-Handler"], [17, "Ivy-Backend-Handler"]], "Data Structures": [[26, "Data-Structures"], [17, "Data-Structures"]], "Ivy Functional API": [[26, "Ivy-Functional-API"], [17, "Ivy-Functional-API"]], "Graph Tracer": [[26, "Graph-Tracer"]], "Any function": [[26, "Any-function"], [27, "Any-function"]], "Any library": [[26, "Any-library"], [27, "Any-library"]], "Any model": [[26, "Any-model"], [27, "Any-model"]], "Transpiling a haiku model to build on top": [[12, "Transpiling-a-haiku-model-to-build-on-top"]], "Transpiling a PyTorch model to build on top": [[11, "Transpiling-a-PyTorch-model-to-build-on-top"]], "1.2: As a Decorator": [[33, "1.2:-As-a-Decorator"]], "0.2: Transpile": [[30, "0.2:-Transpile"]], "0.1: Compile": [[29, "0.1:-Compile"]], "HuggingFace Tensorflow DeiT": [[43, "HuggingFace-Tensorflow-DeiT"]], "Graph can be visualized and displayed as html file on browser": [[43, "Graph-can-be-visualized-and-displayed-as-html-file-on-browser"]], "Tutorials And Examples": [[15, "tutorials-and-examples"]], "Learn the basics": [[15, "learn-the-basics"], [16, "learn-the-basics"]], "Examples and Demos": [[15, "examples-and-demos"], [2, "examples-and-demos"]], "Demo: Transpiling DeepMind\u2019s PerceiverIO": [[40, "Demo:-Transpiling-DeepMind's-PerceiverIO"]], "Table of Contents": [[40, "Table-of-Contents"]], "Defining the model": [[40, "Defining-the-model"]], "Model construction": [[40, "Model-construction"]], "Some helper functions": [[40, "Some-helper-functions"]], "Transpiling the model": [[40, "Transpiling-the-model"]], "PyTorch pipeline": [[40, "PyTorch-pipeline"]], "Dataset download": [[40, "Dataset-download"]], "DataLoader": [[40, "DataLoader"]], "Training": [[40, "Training"]], "3.0: Perceiver": [[36, "3.0:-Perceiver"]], "Deepmind PerceiverIO on GPU": [[41, "Deepmind-PerceiverIO-on-GPU"]], "Install Python3.8 and setup the kernel": [[41, "Install-Python3.8-and-setup-the-kernel"]], "Clone the ivy and ivy-models repo": [[41, "Clone-the-ivy-and-ivy-models-repo"]], "Install ivy and ivy_models from the repos": [[41, "Install-ivy-and-ivy_models-from-the-repos"]], "Run the demo\u2026": [[41, "Run-the-demo..."]], "\u2026with torch backend": [[41, "...with-torch-backend"]], "\u2026.with tensorflow backend": [[41, "....with-tensorflow-backend"]], "\u2026with jax backend": [[41, "...with-jax-backend"]], "\u2026with numpy backend": [[41, "...with-numpy-backend"]], "2.0: Kornia": [[35, "2.0:-Kornia"]], "Write Ivy code": [[17, "Write-Ivy-code"]], "Contents": [[17, "Contents"]], "Installing Ivy": [[17, "Installing-Ivy"]], "Importing Ivy": [[17, "Importing-Ivy"]], "3.1: Stable Diffusion": [[37, "3.1:-Stable-Diffusion"]], "1.3: Dynamic vs Static": [[34, "1.3:-Dynamic-vs-Static"]], "Dynamic": [[34, "Dynamic"]], "Static": [[34, "Static"]], "ToDo: explain via examples why dynamic mode is set to True by default when transpiling to and from numpy and torch, but set to False by default when transpiling to and from tensorflow and jax.": [[34, "ToDo:-explain-via-examples-why-dynamic-mode-is-set-to-True-by-default-when-transpiling-to-and-from-numpy-and-torch,-but-set-to-False-by-default-when-transpiling-to-and-from-tensorflow-and-jax."]], "Trace code": [[19, "Trace-code"]], "Quickstart": [[27, "Quickstart"]], "Get familiar with Ivy": [[27, "Get-familiar-with-Ivy"]], "Functional API": [[27, "Functional-API"]], "Stateful API": [[27, "Stateful-API"]], "Tracing code": [[27, "Tracing-code"]], "# Ivy Bert Demo": [[4, "#-Ivy-Bert-Demo"]], "Install the dependecies": [[4, "Install-the-dependecies"]], "Import the modules": [[4, "Import-the-modules"]], "Ivy inference with Sequence Classification": [[4, "Ivy-inference-with-Sequence-Classification"]], "Ivy model inference with tensorflow": [[4, "Ivy-model-inference-with-tensorflow"]], "Ivy model inference with Jax": [[4, "Ivy-model-inference-with-Jax"]], "Ivy model inference with torch": [[4, "Ivy-model-inference-with-torch"]], "Resnet 18": [[45, "Resnet-18"]], "Developing a convolutional network using Ivy": [[14, "Developing-a-convolutional-network-using-Ivy"]], "Demos": [[0, "demos"]], "Creating a Notebook for Demo": [[0, "creating-a-notebook-for-demo"]], "0.0: Unify": [[28, "0.0:-Unify"]], "Accelerating PyTorch models with JAX": [[8, "Accelerating-PyTorch-models-with-JAX"]], "Unify code": [[18, "Unify-code"]], "Transpile code": [[20, "Transpile-code"]], "TO REPLACE: Title": [[1, "TO-REPLACE:-Title"]], "Write a model using Ivy": [[25, "Write-a-model-using-Ivy"]], "End-to-End Training Pipeline in Ivy": [[42, "End-to-End-Training-Pipeline-in-Ivy"]], "Importing libraries": [[42, "Importing-libraries"]], "Let\u2019s build the pipeline with a Tensorflow backend": [[42, "Let's-build-the-pipeline-with-a-Tensorflow-backend"]], "We are using MNIST dataset for this Tutorial": [[42, "We-are-using-MNIST-dataset-for-this-Tutorial"]], "Temporary Dataset and Dynamic loader": [[42, "Temporary-Dataset-and-Dynamic-loader"]], "Defining the Ivy Network": [[42, "Defining-the-Ivy-Network"]], "Training Loop with utility functions": [[42, "Training-Loop-with-utility-functions"]], "Plotting the training metrics": [[42, "Plotting-the-training-metrics"]], "Save the trained Model": [[42, "Save-the-trained-Model"]], "Transpile any library": [[23, "Transpile-any-library"]], "How to use decorators": [[22, "How-to-use-decorators"]], "Trace": [[22, "Trace"], [21, "Trace"]], "Transpile any model": [[24, "Transpile-any-model"]], "Round up": [[24, "Round-up"]], "1.1: Framework Selection": [[32, "1.1:-Framework-Selection"]], "Lazy vs Eager": [[21, "Lazy-vs-Eager"]]}, "indexentries": {"_arraywithactivations (class in ivy.data_classes.array.activations)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations"]], "_abc_impl (ivy.data_classes.array.activations._arraywithactivations attribute)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations._abc_impl"]], "gelu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.gelu"]], "hardswish() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.hardswish"]], "ivy.data_classes.array.activations": [[46, "module-ivy.data_classes.array.activations"]], "leaky_relu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.leaky_relu"]], "log_softmax() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.log_softmax"]], "mish() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.mish"]], "module": [[46, "module-ivy.data_classes.array.activations"], [47, "module-ivy.data_classes.array.conversions"], [48, "module-ivy.data_classes.array.creation"], [49, "module-ivy.data_classes.array.data_type"], [50, "module-ivy.data_classes.array.device"], [51, "module-ivy.data_classes.array.elementwise"], [52, "module-ivy.data_classes.array.experimental"], [52, "module-ivy.data_classes.array.experimental.activations"], [52, "module-ivy.data_classes.array.experimental.conversions"], [52, "module-ivy.data_classes.array.experimental.creation"], [52, "module-ivy.data_classes.array.experimental.data_type"], [52, "module-ivy.data_classes.array.experimental.device"], [52, "module-ivy.data_classes.array.experimental.elementwise"], [52, "module-ivy.data_classes.array.experimental.general"], [52, "module-ivy.data_classes.array.experimental.gradients"], [52, "module-ivy.data_classes.array.experimental.image"], [52, "module-ivy.data_classes.array.experimental.layers"], [52, "module-ivy.data_classes.array.experimental.linear_algebra"], [52, "module-ivy.data_classes.array.experimental.losses"], [52, "module-ivy.data_classes.array.experimental.manipulation"], [52, "module-ivy.data_classes.array.experimental.norms"], [52, "module-ivy.data_classes.array.experimental.random"], [52, "module-ivy.data_classes.array.experimental.searching"], [52, "module-ivy.data_classes.array.experimental.set"], [52, "module-ivy.data_classes.array.experimental.sorting"], [52, "module-ivy.data_classes.array.experimental.statistical"], [52, "module-ivy.data_classes.array.experimental.utility"], [53, "module-ivy.data_classes.array.general"], [54, "module-ivy.data_classes.array.gradients"], [55, "module-ivy.data_classes.array.image"], [56, "module-ivy.data_classes.array.layers"], [57, "module-ivy.data_classes.array.linear_algebra"], [58, "module-ivy.data_classes.array.losses"], [59, "module-ivy.data_classes.array.manipulation"], [60, "module-ivy.data_classes.array.norms"], [61, "module-ivy.data_classes.array.random"], [62, "module-ivy.data_classes.array.searching"], [63, "module-ivy.data_classes.array.set"], [64, "module-ivy.data_classes.array.sorting"], [65, "module-ivy.data_classes.array.statistical"], [66, "module-ivy.data_classes.array.utility"], [67, "module-ivy.data_classes.array.wrapping"], [68, "module-ivy.data_classes.container.activations"], [69, "module-ivy.data_classes.container.base"], [70, "module-ivy.data_classes.container.conversions"], [71, "module-ivy.data_classes.container.creation"], [72, "module-ivy.data_classes.container.data_type"], [73, "module-ivy.data_classes.container.device"], [74, "module-ivy.data_classes.container.elementwise"], [75, "module-ivy.data_classes.container.experimental"], [75, "module-ivy.data_classes.container.experimental.activations"], [75, "module-ivy.data_classes.container.experimental.conversions"], [75, "module-ivy.data_classes.container.experimental.creation"], [75, "module-ivy.data_classes.container.experimental.data_type"], [75, "module-ivy.data_classes.container.experimental.device"], [75, "module-ivy.data_classes.container.experimental.elementwise"], [75, "module-ivy.data_classes.container.experimental.general"], [75, "module-ivy.data_classes.container.experimental.gradients"], [75, "module-ivy.data_classes.container.experimental.image"], [75, "module-ivy.data_classes.container.experimental.layers"], [75, "module-ivy.data_classes.container.experimental.linear_algebra"], [75, "module-ivy.data_classes.container.experimental.losses"], [75, "module-ivy.data_classes.container.experimental.manipulation"], [75, "module-ivy.data_classes.container.experimental.norms"], [75, "module-ivy.data_classes.container.experimental.random"], [75, "module-ivy.data_classes.container.experimental.searching"], [75, "module-ivy.data_classes.container.experimental.set"], [75, "module-ivy.data_classes.container.experimental.sorting"], [75, "module-ivy.data_classes.container.experimental.statistical"], [75, "module-ivy.data_classes.container.experimental.utility"], [76, "module-ivy.data_classes.container.general"], [77, "module-ivy.data_classes.container.gradients"], [78, "module-ivy.data_classes.container.image"], [79, "module-ivy.data_classes.container.layers"], [80, "module-ivy.data_classes.container.linear_algebra"], [81, "module-ivy.data_classes.container.losses"], [82, "module-ivy.data_classes.container.manipulation"], [83, "module-ivy.data_classes.container.norms"], [84, "module-ivy.data_classes.container.random"], [85, "module-ivy.data_classes.container.searching"], [86, "module-ivy.data_classes.container.set"], [87, "module-ivy.data_classes.container.sorting"], [88, "module-ivy.data_classes.container.statistical"], [89, "module-ivy.data_classes.container.utility"], [90, "module-ivy.data_classes.container.wrapping"], [91, "module-ivy.data_classes.factorized_tensor.base"], [92, "module-ivy.data_classes.factorized_tensor.cp_tensor"], [93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"], [94, "module-ivy.data_classes.factorized_tensor.tr_tensor"], [95, "module-ivy.data_classes.factorized_tensor.tt_tensor"], [96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"], [97, "module-ivy.data_classes.array.array"], [98, "module-ivy.data_classes.container.container"], [100, "module-ivy.data_classes.nested_array.nested_array"], [101, "module-ivy.data_classes.nested_array.base"], [102, "module-ivy.data_classes.nested_array.elementwise"], [360, "module-ivy.functional.ivy.experimental.activations"], [361, "module-ivy.functional.ivy.experimental.constants"], [362, "module-ivy.functional.ivy.experimental.creation"], [363, "module-ivy.functional.ivy.experimental.data_type"], [364, "module-ivy.functional.ivy.experimental.device"], [365, "module-ivy.functional.ivy.experimental.elementwise"], [366, "module-ivy.functional.ivy.experimental.general"], [367, "module-ivy.functional.ivy.experimental.gradients"], [368, "module-ivy.functional.ivy.experimental.layers"], [369, "module-ivy.functional.ivy.experimental.linear_algebra"], [370, "module-ivy.functional.ivy.experimental.losses"], [371, "module-ivy.functional.ivy.experimental.manipulation"], [372, "module-ivy.functional.ivy.experimental.meta"], [373, "module-ivy.functional.ivy.experimental.nest"], [374, "module-ivy.functional.ivy.experimental.norms"], [375, "module-ivy.functional.ivy.experimental.random"], [376, "module-ivy.functional.ivy.experimental.searching"], [377, "module-ivy.functional.ivy.experimental.set"], [378, "module-ivy.functional.ivy.experimental.sorting"], [379, "module-ivy.functional.ivy.experimental.sparse_array"], [380, "module-ivy.functional.ivy.experimental.statistical"], [381, "module-ivy.functional.ivy.experimental.utility"], [613, "module-ivy.functional.ivy.activations"], [614, "module-ivy.functional.ivy.constants"], [615, "module-ivy.functional.ivy.control_flow_ops"], [616, "module-ivy.functional.ivy.creation"], [617, "module-ivy.functional.ivy.data_type"], [618, "module-ivy.functional.ivy.device"], [619, "module-ivy.functional.ivy.elementwise"], [620, "module-ivy.functional.ivy.experimental"], [621, "module-ivy.functional.ivy.general"], [622, "module-ivy.functional.ivy.gradients"], [623, "module-ivy.functional.ivy.layers"], [624, "module-ivy.functional.ivy.linear_algebra"], [625, "module-ivy.functional.ivy.losses"], [626, "module-ivy.functional.ivy.manipulation"], [627, "module-ivy.functional.ivy.meta"], [628, "module-ivy.functional.ivy.nest"], [629, "module-ivy.functional.ivy.norms"], [630, "module-ivy.functional.ivy.random"], [631, "module-ivy.functional.ivy.searching"], [632, "module-ivy.functional.ivy.set"], [633, "module-ivy.functional.ivy.sorting"], [634, "module-ivy.functional.ivy.statistical"], [635, "module-ivy.functional.ivy.utility"], [758, "module-ivy_tests.test_ivy.helpers.assertions"], [759, "module-ivy_tests.test_ivy.helpers.available_frameworks"], [760, "module-ivy_tests.test_ivy.helpers.function_testing"], [761, "module-ivy_tests.test_ivy.helpers.globals"], [762, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers"], [763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"], [764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"], [765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"], [766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"], [767, "module-ivy_tests.test_ivy.helpers.multiprocessing"], [768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"], [769, "module-ivy_tests.test_ivy.helpers.structs"], [770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"], [771, "module-ivy_tests.test_ivy.helpers.testing_helpers"], [775, "module-ivy.stateful.activations"], [776, "module-ivy.stateful.converters"], [777, "module-ivy.stateful.helpers"], [778, "module-ivy.stateful.initializers"], [779, "module-ivy.stateful.layers"], [780, "module-ivy.stateful.losses"], [781, "module-ivy.stateful.module"], [782, "module-ivy.stateful.norms"], [783, "module-ivy.stateful.optimizers"], [784, "module-ivy.stateful.sequential"], [785, "module-ivy.utils.assertions"], [786, "module-ivy.utils.backend"], [787, "module-ivy.utils.backend.ast_helpers"], [788, "module-ivy.utils.backend.handler"], [789, "module-ivy.utils.backend.sub_backend_handler"], [790, "module-ivy.utils.binaries"], [791, "module-ivy.utils.dynamic_import"], [792, "module-ivy.utils.einsum_parser"], [793, "module-ivy.utils.einsum_path_helpers"], [794, "module-ivy.utils.exceptions"], [795, "module-ivy.utils.inspection"], [796, "module-ivy.utils.logging"], [797, "module-ivy.utils.profiler"], [798, "module-ivy.utils.verbosity"]], "relu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.relu"]], "sigmoid() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.sigmoid"]], "softmax() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.softmax"]], "softplus() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.softplus"]], "_array_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._array_to_new_backend"]], "_to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_ivy"]], "_to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_native"]], "_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_new_backend"]], "args_to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_ivy"]], "args_to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_native"]], "args_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_new_backend"]], "ivy.data_classes.array.conversions": [[47, "module-ivy.data_classes.array.conversions"]], "to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_ivy"]], "to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_native"]], "to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_new_backend"]], "_arraywithcreation (class in ivy.data_classes.array.creation)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation"]], "_abc_impl (ivy.data_classes.array.creation._arraywithcreation attribute)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation._abc_impl"]], "asarray() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.asarray"]], "copy_array() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.copy_array"]], "empty_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.empty_like"]], "from_dlpack() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.from_dlpack"]], "full_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.full_like"]], "ivy.data_classes.array.creation": [[48, "module-ivy.data_classes.array.creation"]], "linspace() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.linspace"]], "logspace() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.logspace"]], "meshgrid() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.meshgrid"]], "native_array() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.native_array"]], "one_hot() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.one_hot"]], "ones_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.ones_like"]], "tril() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.tril"]], "triu() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.triu"]], "zeros_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.zeros_like"]], "_arraywithdatatypes (class in ivy.data_classes.array.data_type)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes"]], "_abc_impl (ivy.data_classes.array.data_type._arraywithdatatypes attribute)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes._abc_impl"]], "astype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.astype"]], "broadcast_arrays() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.broadcast_arrays"]], "broadcast_to() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.broadcast_to"]], "can_cast() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.can_cast"]], "dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.dtype"]], "finfo() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.finfo"]], "iinfo() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.iinfo"]], "is_bool_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_bool_dtype"]], "is_float_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_float_dtype"]], "is_int_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_int_dtype"]], "is_uint_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_uint_dtype"]], "ivy.data_classes.array.data_type": [[49, "module-ivy.data_classes.array.data_type"]], "result_type() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.result_type"]], "_arraywithdevice (class in ivy.data_classes.array.device)": [[50, "ivy.data_classes.array.device._ArrayWithDevice"]], "_abc_impl (ivy.data_classes.array.device._arraywithdevice attribute)": [[50, "ivy.data_classes.array.device._ArrayWithDevice._abc_impl"]], "dev() (ivy.data_classes.array.device._arraywithdevice method)": [[50, "ivy.data_classes.array.device._ArrayWithDevice.dev"]], "ivy.data_classes.array.device": [[50, "module-ivy.data_classes.array.device"]], "to_device() (ivy.data_classes.array.device._arraywithdevice method)": [[50, "ivy.data_classes.array.device._ArrayWithDevice.to_device"]], "_arraywithelementwise (class in ivy.data_classes.array.elementwise)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise"]], "_abc_impl (ivy.data_classes.array.elementwise._arraywithelementwise attribute)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise._abc_impl"]], "abs() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.abs"]], "acos() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.acos"]], "acosh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.acosh"]], "add() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.add"]], "angle() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.angle"]], "asin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.asin"]], "asinh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.asinh"]], "atan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atan"]], "atan2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atan2"]], "atanh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atanh"]], "bitwise_and() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_and"]], "bitwise_invert() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_invert"]], "bitwise_left_shift() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_left_shift"]], "bitwise_or() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_or"]], "bitwise_right_shift() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_right_shift"]], "bitwise_xor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_xor"]], "ceil() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.ceil"]], "cos() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.cos"]], "cosh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.cosh"]], "deg2rad() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.deg2rad"]], "divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.divide"]], "equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.equal"]], "erf() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.erf"]], "exp() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.exp"]], "exp2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.exp2"]], "expm1() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.expm1"]], "floor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.floor"]], "floor_divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.floor_divide"]], "fmin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.fmin"]], "gcd() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.gcd"]], "greater() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.greater"]], "greater_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.greater_equal"]], "imag() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.imag"]], "isfinite() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isfinite"]], "isinf() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isinf"]], "isnan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isnan"]], "isreal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isreal"]], "ivy.data_classes.array.elementwise": [[51, "module-ivy.data_classes.array.elementwise"]], "lcm() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.lcm"]], "less() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.less"]], "less_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.less_equal"]], "log() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log"]], "log10() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log10"]], "log1p() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log1p"]], "log2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log2"]], "logaddexp() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logaddexp"]], "logaddexp2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logaddexp2"]], "logical_and() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_and"]], "logical_not() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_not"]], "logical_or() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_or"]], "logical_xor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_xor"]], "maximum() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.maximum"]], "minimum() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.minimum"]], "multiply() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.multiply"]], "nan_to_num() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.nan_to_num"]], "negative() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.negative"]], "not_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.not_equal"]], "positive() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.positive"]], "pow() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.pow"]], "rad2deg() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.rad2deg"]], "real() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.real"]], "reciprocal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.reciprocal"]], "remainder() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.remainder"]], "round() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.round"]], "sign() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sign"]], "sin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sin"]], "sinh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sinh"]], "sqrt() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sqrt"]], "square() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.square"]], "subtract() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.subtract"]], "tan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.tan"]], "tanh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.tanh"]], "trapz() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trapz"]], "trunc() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trunc"]], "trunc_divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trunc_divide"]], "_arraywithactivationsexperimental (class in ivy.data_classes.array.experimental.activations)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental"]], "_arraywithconversionsexperimental (class in ivy.data_classes.array.experimental.conversions)": [[52, "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental"]], "_arraywithcreationexperimental (class in ivy.data_classes.array.experimental.creation)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental"]], "_arraywithdata_typeexperimental (class in ivy.data_classes.array.experimental.data_type)": [[52, "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental"]], "_arraywithdeviceexperimental (class in ivy.data_classes.array.experimental.device)": [[52, "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental"]], "_arraywithelementwiseexperimental (class in ivy.data_classes.array.experimental.elementwise)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental"]], "_arraywithgeneralexperimental (class in ivy.data_classes.array.experimental.general)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental"]], "_arraywithgradientsexperimental (class in ivy.data_classes.array.experimental.gradients)": [[52, "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental"]], "_arraywithimageexperimental (class in ivy.data_classes.array.experimental.image)": [[52, "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental"]], "_arraywithlayersexperimental (class in ivy.data_classes.array.experimental.layers)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental"]], "_arraywithlinearalgebraexperimental (class in ivy.data_classes.array.experimental.linear_algebra)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental"]], "_arraywithlossesexperimental (class in ivy.data_classes.array.experimental.losses)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental"]], "_arraywithmanipulationexperimental (class in ivy.data_classes.array.experimental.manipulation)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental"]], "_arraywithnormsexperimental (class in ivy.data_classes.array.experimental.norms)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental"]], "_arraywithrandomexperimental (class in ivy.data_classes.array.experimental.random)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental"]], "_arraywithsearchingexperimental (class in ivy.data_classes.array.experimental.searching)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental"]], "_arraywithsetexperimental (class in ivy.data_classes.array.experimental.set)": [[52, "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental"]], "_arraywithsortingexperimental (class in ivy.data_classes.array.experimental.sorting)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental"]], "_arraywithstatisticalexperimental (class in ivy.data_classes.array.experimental.statistical)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental"]], "_arraywithutilityexperimental (class in ivy.data_classes.array.experimental.utility)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental"]], "_abc_impl (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.conversions._arraywithconversionsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental attribute)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.data_type._arraywithdata_typeexperimental attribute)": [[52, "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.device._arraywithdeviceexperimental attribute)": [[52, "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental attribute)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.general._arraywithgeneralexperimental attribute)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.gradients._arraywithgradientsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.image._arraywithimageexperimental attribute)": [[52, "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental attribute)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental attribute)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental attribute)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental attribute)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.random._arraywithrandomexperimental attribute)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.searching._arraywithsearchingexperimental attribute)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.set._arraywithsetexperimental attribute)": [[52, "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.sorting._arraywithsortingexperimental attribute)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental attribute)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.utility._arraywithutilityexperimental attribute)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental._abc_impl"]], "adaptive_avg_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_max_pool2d"]], "adjoint() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.adjoint"]], "allclose() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.allclose"]], "amax() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.amax"]], "amin() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.amin"]], "as_strided() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.as_strided"]], "associative_scan() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.associative_scan"]], "atleast_1d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_1d"]], "atleast_2d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_2d"]], "atleast_3d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_3d"]], "avg_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool1d"]], "avg_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool2d"]], "avg_pool3d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool3d"]], "batch_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.batch_norm"]], "batched_outer() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.batched_outer"]], "bernoulli() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.bernoulli"]], "beta() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.beta"]], "binarizer() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.binarizer"]], "bincount() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.bincount"]], "blackman_window() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.blackman_window"]], "celu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.celu"]], "column_stack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.column_stack"]], "concat_from_sequence() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.concat_from_sequence"]], "cond() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.cond"]], "conj() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.conj"]], "copysign() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.copysign"]], "corrcoef() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.corrcoef"]], "count_nonzero() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.count_nonzero"]], "cov() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cov"]], "cummax() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cummax"]], "cummin() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cummin"]], "dct() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.dct"]], "dft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.dft"]], "diagflat() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.diagflat"]], "diff() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.diff"]], "digamma() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.digamma"]], "dirichlet() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.dirichlet"]], "dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.dot"]], "dsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.dsplit"]], "dstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.dstack"]], "eig() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eig"]], "eigh_tridiagonal() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eigh_tridiagonal"]], "eigvals() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eigvals"]], "elu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.elu"]], "embedding() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.embedding"]], "erfc() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.erfc"]], "expand() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.expand"]], "eye_like() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.eye_like"]], "fft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.fft"]], "fft2() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.fft2"]], "fill_diagonal() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fill_diagonal"]], "fix() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fix"]], "flatten() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.flatten"]], "fliplr() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fliplr"]], "flipud() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.flipud"]], "float_power() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.float_power"]], "fmax() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fmax"]], "fmod() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fmod"]], "fold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fold"]], "frexp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.frexp"]], "gamma() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.gamma"]], "general_inner_product() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.general_inner_product"]], "gradient() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.gradient"]], "group_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.group_norm"]], "hardshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.hardshrink"]], "hardtanh() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.hardtanh"]], "heaviside() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.heaviside"]], "higher_order_moment() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.higher_order_moment"]], "histogram() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.histogram"]], "hsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.hsplit"]], "hstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.hstack"]], "huber_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.huber_loss"]], "hypot() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.hypot"]], "i0() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.i0"]], "idct() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.idct"]], "ifft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.ifft"]], "ifftn() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.ifftn"]], "igamma() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.igamma"]], "initialize_tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.initialize_tucker"]], "instance_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.instance_norm"]], "interpolate() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.interpolate"]], "isclose() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.isclose"]], "ivy.data_classes.array.experimental": [[52, "module-ivy.data_classes.array.experimental"]], "ivy.data_classes.array.experimental.activations": [[52, "module-ivy.data_classes.array.experimental.activations"]], "ivy.data_classes.array.experimental.conversions": [[52, "module-ivy.data_classes.array.experimental.conversions"]], "ivy.data_classes.array.experimental.creation": [[52, "module-ivy.data_classes.array.experimental.creation"]], "ivy.data_classes.array.experimental.data_type": [[52, "module-ivy.data_classes.array.experimental.data_type"]], "ivy.data_classes.array.experimental.device": [[52, "module-ivy.data_classes.array.experimental.device"]], "ivy.data_classes.array.experimental.elementwise": [[52, "module-ivy.data_classes.array.experimental.elementwise"]], "ivy.data_classes.array.experimental.general": [[52, "module-ivy.data_classes.array.experimental.general"]], "ivy.data_classes.array.experimental.gradients": [[52, "module-ivy.data_classes.array.experimental.gradients"]], "ivy.data_classes.array.experimental.image": [[52, "module-ivy.data_classes.array.experimental.image"]], "ivy.data_classes.array.experimental.layers": [[52, "module-ivy.data_classes.array.experimental.layers"]], "ivy.data_classes.array.experimental.linear_algebra": [[52, "module-ivy.data_classes.array.experimental.linear_algebra"]], "ivy.data_classes.array.experimental.losses": [[52, "module-ivy.data_classes.array.experimental.losses"]], "ivy.data_classes.array.experimental.manipulation": [[52, "module-ivy.data_classes.array.experimental.manipulation"]], "ivy.data_classes.array.experimental.norms": [[52, "module-ivy.data_classes.array.experimental.norms"]], "ivy.data_classes.array.experimental.random": [[52, "module-ivy.data_classes.array.experimental.random"]], "ivy.data_classes.array.experimental.searching": [[52, "module-ivy.data_classes.array.experimental.searching"]], "ivy.data_classes.array.experimental.set": [[52, "module-ivy.data_classes.array.experimental.set"]], "ivy.data_classes.array.experimental.sorting": [[52, "module-ivy.data_classes.array.experimental.sorting"]], "ivy.data_classes.array.experimental.statistical": [[52, "module-ivy.data_classes.array.experimental.statistical"]], "ivy.data_classes.array.experimental.utility": [[52, "module-ivy.data_classes.array.experimental.utility"]], "kl_div() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.kl_div"]], "kron() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.kron"]], "l1_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.l1_loss"]], "l1_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.l1_normalize"]], "l2_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.l2_normalize"]], "ldexp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.ldexp"]], "lerp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.lerp"]], "lexsort() (ivy.data_classes.array.experimental.sorting._arraywithsortingexperimental method)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental.lexsort"]], "lgamma() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.lgamma"]], "log_poisson_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.log_poisson_loss"]], "logit() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.logit"]], "logsigmoid() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.logsigmoid"]], "lp_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.lp_normalize"]], "make_svd_non_negative() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.make_svd_non_negative"]], "matricize() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.matricize"]], "matrix_exp() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.matrix_exp"]], "max_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool1d"]], "max_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool2d"]], "max_pool3d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool3d"]], "max_unpool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_unpool1d"]], "median() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.median"]], "mel_weight_matrix() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental static method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.mel_weight_matrix"]], "mode_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.mode_dot"]], "modf() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.modf"]], "moveaxis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.moveaxis"]], "multi_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.multi_dot"]], "multi_mode_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.multi_mode_dot"]], "nanmean() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmean"]], "nanmedian() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmedian"]], "nanmin() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmin"]], "nanprod() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanprod"]], "nansum() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.nansum"]], "nextafter() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.nextafter"]], "optional_get_element() (ivy.data_classes.array.experimental.utility._arraywithutilityexperimental method)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental.optional_get_element"]], "pad() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.pad"]], "partial_fold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_fold"]], "partial_tensor_to_vec() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_tensor_to_vec"]], "partial_tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.partial_tucker"]], "partial_unfold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_unfold"]], "partial_vec_to_tensor() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_vec_to_tensor"]], "poisson() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.poisson"]], "poisson_nll_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.poisson_nll_loss"]], "polyval() (in module ivy.data_classes.array.experimental.creation)": [[52, "ivy.data_classes.array.experimental.creation.polyval"]], "prelu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.prelu"]], "put_along_axis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.put_along_axis"]], "quantile() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.quantile"]], "reduce() (ivy.data_classes.array.experimental.general._arraywithgeneralexperimental method)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental.reduce"]], "reduce_window() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.reduce_window"]], "relu6() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.relu6"]], "rfft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.rfft"]], "rfftn() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.rfftn"]], "rot90() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.rot90"]], "scaled_tanh() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.scaled_tanh"]], "selu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.selu"]], "signbit() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.signbit"]], "silu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.silu"]], "sinc() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.sinc"]], "sliding_window() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.sliding_window"]], "smooth_l1_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.smooth_l1_loss"]], "soft_margin_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.soft_margin_loss"]], "soft_thresholding() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.soft_thresholding"]], "softshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.softshrink"]], "sparsify_tensor() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.sparsify_tensor"]], "stft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.stft"]], "svd_flip() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.svd_flip"]], "take() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.take"]], "take_along_axis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.take_along_axis"]], "tanhshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.tanhshrink"]], "tensor_train() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tensor_train"]], "threshold() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.threshold"]], "thresholded_relu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.thresholded_relu"]], "top_k() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.top_k"]], "trilu() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.trilu"]], "trim_zeros() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.trim_zeros"]], "truncated_svd() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.truncated_svd"]], "tt_matrix_to_tensor() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tt_matrix_to_tensor"]], "tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tucker"]], "unfold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.unfold"]], "unique_consecutive() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.unique_consecutive"]], "unravel_index() (ivy.data_classes.array.experimental.searching._arraywithsearchingexperimental method)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental.unravel_index"]], "unsorted_segment_mean() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_mean"]], "unsorted_segment_min() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_min"]], "unsorted_segment_sum() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_sum"]], "vsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.vsplit"]], "vstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.vstack"]], "xlogy() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.xlogy"]], "zeta() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.zeta"]], "_arraywithgeneral (class in ivy.data_classes.array.general)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral"]], "_abc_impl (ivy.data_classes.array.general._arraywithgeneral attribute)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral._abc_impl"]], "all_equal() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.all_equal"]], "array_equal() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.array_equal"]], "assert_supports_inplace() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.assert_supports_inplace"]], "clip_matrix_norm() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.clip_matrix_norm"]], "clip_vector_norm() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.clip_vector_norm"]], "default() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.default"]], "einops_rearrange() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_rearrange"]], "einops_reduce() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_reduce"]], "einops_repeat() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_repeat"]], "exists() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.exists"]], "fourier_encode() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.fourier_encode"]], "gather() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.gather"]], "gather_nd() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.gather_nd"]], "get_num_dims() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.get_num_dims"]], "has_nans() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.has_nans"]], "inplace_decrement() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_decrement"]], "inplace_increment() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_increment"]], "inplace_update() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_update"]], "is_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_array"]], "is_ivy_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_ivy_array"]], "is_ivy_container() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_ivy_container"]], "is_native_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_native_array"]], "isin() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.isin"]], "ivy.data_classes.array.general": [[53, "module-ivy.data_classes.array.general"]], "scatter_flat() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.scatter_flat"]], "scatter_nd() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.scatter_nd"]], "stable_divide() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.stable_divide"]], "stable_pow() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.stable_pow"]], "supports_inplace_updates() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.supports_inplace_updates"]], "to_file() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_file"]], "to_list() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_list"]], "to_numpy() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_numpy"]], "to_scalar() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_scalar"]], "value_is_nan() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.value_is_nan"]], "_arraywithgradients (class in ivy.data_classes.array.gradients)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients"]], "_abc_impl (ivy.data_classes.array.gradients._arraywithgradients attribute)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients._abc_impl"]], "adam_step() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.adam_step"]], "adam_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.adam_update"]], "gradient_descent_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.gradient_descent_update"]], "ivy.data_classes.array.gradients": [[54, "module-ivy.data_classes.array.gradients"]], "lamb_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.lamb_update"]], "lars_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.lars_update"]], "optimizer_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.optimizer_update"]], "stop_gradient() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.stop_gradient"]], "_arraywithimage (class in ivy.data_classes.array.image)": [[55, "ivy.data_classes.array.image._ArrayWithImage"]], "_abc_impl (ivy.data_classes.array.image._arraywithimage attribute)": [[55, "ivy.data_classes.array.image._ArrayWithImage._abc_impl"]], "ivy.data_classes.array.image": [[55, "module-ivy.data_classes.array.image"]], "_arraywithlayers (class in ivy.data_classes.array.layers)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers"]], "_abc_impl (ivy.data_classes.array.layers._arraywithlayers attribute)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers._abc_impl"]], "conv1d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv1d"]], "conv1d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv1d_transpose"]], "conv2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv2d"]], "conv2d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv2d_transpose"]], "conv3d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv3d"]], "conv3d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv3d_transpose"]], "depthwise_conv2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.depthwise_conv2d"]], "dropout() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout"]], "dropout1d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout1d"]], "dropout2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout2d"]], "dropout3d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout3d"]], "ivy.data_classes.array.layers": [[56, "module-ivy.data_classes.array.layers"]], "linear() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.linear"]], "lstm_update() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.lstm_update"]], "multi_head_attention() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.multi_head_attention"]], "scaled_dot_product_attention() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.scaled_dot_product_attention"]], "_arraywithlinearalgebra (class in ivy.data_classes.array.linear_algebra)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra"]], "_abc_impl (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra attribute)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra._abc_impl"]], "cholesky() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.cholesky"]], "cross() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.cross"]], "det() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.det"]], "diag() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.diag"]], "diagonal() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.diagonal"]], "eig() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eig"]], "eigh() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eigh"]], "eigvalsh() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eigvalsh"]], "inner() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.inner"]], "inv() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.inv"]], "ivy.data_classes.array.linear_algebra": [[57, "module-ivy.data_classes.array.linear_algebra"]], "matmul() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matmul"]], "matrix_norm() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_norm"]], "matrix_power() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_power"]], "matrix_rank() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_rank"]], "matrix_transpose() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_transpose"]], "outer() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.outer"]], "pinv() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.pinv"]], "qr() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.qr"]], "slogdet() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.slogdet"]], "solve() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.solve"]], "svd() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.svd"]], "svdvals() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.svdvals"]], "tensordot() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.tensordot"]], "tensorsolve() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.tensorsolve"]], "trace() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.trace"]], "vander() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vander"]], "vecdot() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vecdot"]], "vector_norm() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vector_to_skew_symmetric_matrix"]], "_arraywithlosses (class in ivy.data_classes.array.losses)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses"]], "_abc_impl (ivy.data_classes.array.losses._arraywithlosses attribute)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses._abc_impl"]], "binary_cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.binary_cross_entropy"]], "cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.cross_entropy"]], "ivy.data_classes.array.losses": [[58, "module-ivy.data_classes.array.losses"]], "sparse_cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.sparse_cross_entropy"]], "_arraywithmanipulation (class in ivy.data_classes.array.manipulation)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation"]], "_abc_impl (ivy.data_classes.array.manipulation._arraywithmanipulation attribute)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation._abc_impl"]], "clip() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.clip"]], "concat() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.concat"]], "constant_pad() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.constant_pad"]], "expand_dims() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.expand_dims"]], "flip() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.flip"]], "ivy.data_classes.array.manipulation": [[59, "module-ivy.data_classes.array.manipulation"]], "permute_dims() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.permute_dims"]], "repeat() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.repeat"]], "reshape() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.reshape"]], "roll() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.roll"]], "split() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.split"]], "squeeze() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.squeeze"]], "stack() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.stack"]], "swapaxes() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.swapaxes"]], "tile() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.tile"]], "unstack() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.unstack"]], "view() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.view"]], "zero_pad() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.zero_pad"]], "_arraywithnorms (class in ivy.data_classes.array.norms)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms"]], "_abc_impl (ivy.data_classes.array.norms._arraywithnorms attribute)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms._abc_impl"]], "ivy.data_classes.array.norms": [[60, "module-ivy.data_classes.array.norms"]], "layer_norm() (ivy.data_classes.array.norms._arraywithnorms method)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms.layer_norm"]], "_arraywithrandom (class in ivy.data_classes.array.random)": [[61, "ivy.data_classes.array.random._ArrayWithRandom"]], "_abc_impl (ivy.data_classes.array.random._arraywithrandom attribute)": [[61, "ivy.data_classes.array.random._ArrayWithRandom._abc_impl"]], "ivy.data_classes.array.random": [[61, "module-ivy.data_classes.array.random"]], "multinomial() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.multinomial"]], "randint() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.randint"]], "random_normal() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.random_normal"]], "random_uniform() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.random_uniform"]], "shuffle() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.shuffle"]], "_arraywithsearching (class in ivy.data_classes.array.searching)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching"]], "_abc_impl (ivy.data_classes.array.searching._arraywithsearching attribute)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching._abc_impl"]], "argmax() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argmax"]], "argmin() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argmin"]], "argwhere() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argwhere"]], "ivy.data_classes.array.searching": [[62, "module-ivy.data_classes.array.searching"]], "nonzero() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.nonzero"]], "where() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.where"]], "_arraywithset (class in ivy.data_classes.array.set)": [[63, "ivy.data_classes.array.set._ArrayWithSet"]], "_abc_impl (ivy.data_classes.array.set._arraywithset attribute)": [[63, "ivy.data_classes.array.set._ArrayWithSet._abc_impl"]], "ivy.data_classes.array.set": [[63, "module-ivy.data_classes.array.set"]], "unique_all() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_all"]], "unique_counts() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_counts"]], "unique_inverse() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_inverse"]], "unique_values() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_values"]], "_arraywithsorting (class in ivy.data_classes.array.sorting)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting"]], "_abc_impl (ivy.data_classes.array.sorting._arraywithsorting attribute)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting._abc_impl"]], "argsort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.argsort"]], "ivy.data_classes.array.sorting": [[64, "module-ivy.data_classes.array.sorting"]], "msort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.msort"]], "searchsorted() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.searchsorted"]], "sort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.sort"]], "_arraywithstatistical (class in ivy.data_classes.array.statistical)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical"]], "_abc_impl (ivy.data_classes.array.statistical._arraywithstatistical attribute)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical._abc_impl"]], "cumprod() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.cumprod"]], "cumsum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.cumsum"]], "einsum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.einsum"]], "ivy.data_classes.array.statistical": [[65, "module-ivy.data_classes.array.statistical"]], "max() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.max"]], "mean() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.mean"]], "min() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.min"]], "prod() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.prod"]], "std() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.std"]], "sum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.sum"]], "var() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.var"]], "_arraywithutility (class in ivy.data_classes.array.utility)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility"]], "_abc_impl (ivy.data_classes.array.utility._arraywithutility attribute)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility._abc_impl"]], "all() (ivy.data_classes.array.utility._arraywithutility method)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility.all"]], "any() (ivy.data_classes.array.utility._arraywithutility method)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility.any"]], "ivy.data_classes.array.utility": [[66, "module-ivy.data_classes.array.utility"]], "_wrap_function() (in module ivy.data_classes.array.wrapping)": [[67, "ivy.data_classes.array.wrapping._wrap_function"]], "add_ivy_array_instance_methods() (in module ivy.data_classes.array.wrapping)": [[67, "ivy.data_classes.array.wrapping.add_ivy_array_instance_methods"]], "ivy.data_classes.array.wrapping": [[67, "module-ivy.data_classes.array.wrapping"]], "_containerwithactivations (class in ivy.data_classes.container.activations)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations"]], "_abc_impl (ivy.data_classes.container.activations._containerwithactivations attribute)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._abc_impl"]], "_static_gelu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_gelu"]], "_static_hardswish() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_hardswish"]], "_static_leaky_relu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_leaky_relu"]], "_static_log_softmax() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_log_softmax"]], "_static_mish() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_mish"]], "_static_relu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_relu"]], "_static_sigmoid() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_sigmoid"]], "_static_softmax() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_softmax"]], "_static_softplus() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_softplus"]], "gelu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.gelu"]], "hardswish() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.hardswish"]], "ivy.data_classes.container.activations": [[68, "module-ivy.data_classes.container.activations"]], "leaky_relu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.leaky_relu"]], "log_softmax() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.log_softmax"]], "mish() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.mish"]], "relu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.relu"]], "sigmoid() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.sigmoid"]], "softmax() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.softmax"]], "softplus() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.softplus"]], "containerbase (class in ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base.ContainerBase"]], "__getitem__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__getitem__"]], "__init__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__init__"]], "__setitem__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__setitem__"]], "_abc_impl (ivy.data_classes.container.base.containerbase attribute)": [[69, "ivy.data_classes.container.base.ContainerBase._abc_impl"]], "_cont_at_key_chains_input_as_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_at_key_chains_input_as_dict"]], "_cont_at_key_chains_input_as_seq() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_at_key_chains_input_as_seq"]], "_cont_call_static_method_with_flexible_args() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_call_static_method_with_flexible_args"]], "_cont_concat_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_concat_unify"]], "_cont_get_dev() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_dev"]], "_cont_get_dtype() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_dtype"]], "_cont_get_shape() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_shape"]], "_cont_get_shapes() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_shapes"]], "_cont_ivy (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_ivy"]], "_cont_mean_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_mean_unify"]], "_cont_prune_key_chains_input_as_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_prune_key_chains_input_as_dict"]], "_cont_prune_key_chains_input_as_seq() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_prune_key_chains_input_as_seq"]], "_cont_slice_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_slice_keys"]], "_cont_sum_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_sum_unify"]], "_get_queue_item() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._get_queue_item"]], "_is_jsonable() (in module ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base._is_jsonable"]], "_repr() (in module ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base._repr"]], "cont_all_false() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_false"]], "cont_all_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_key_chains"]], "cont_all_true() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_true"]], "cont_as_bools() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_as_bools"]], "cont_assert_contains_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_contains_sub_container"]], "cont_assert_contains_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_contains_sub_structure"]], "cont_assert_identical() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_identical"]], "cont_assert_identical_structure() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_identical_structure"]], "cont_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_key_chain"]], "cont_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_key_chains"]], "cont_at_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_keys"]], "cont_combine() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_combine"]], "cont_common_key_chains() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_common_key_chains"]], "cont_config (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_config"]], "cont_contains_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_contains_sub_container"]], "cont_contains_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_contains_sub_structure"]], "cont_copy() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_copy"]], "cont_create_if_absent() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_create_if_absent"]], "cont_cutoff_at_depth() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_cutoff_at_depth"]], "cont_cutoff_at_height() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_cutoff_at_height"]], "cont_deep_copy() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_deep_copy"]], "cont_dev (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dev"]], "cont_dev_str (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dev_str"]], "cont_diff() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_diff"]], "cont_dtype (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dtype"]], "cont_duplicate_array_keychains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_duplicate_array_keychains"]], "cont_find_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_find_sub_container"]], "cont_find_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_find_sub_structure"]], "cont_flatten_key_chain() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_flatten_key_chain"]], "cont_flatten_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_flatten_key_chains"]], "cont_format_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_format_key_chains"]], "cont_from_disk_as_hdf5() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_hdf5"]], "cont_from_disk_as_json() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_json"]], "cont_from_disk_as_pickled() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_pickled"]], "cont_from_flat_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_flat_list"]], "cont_handle_inplace() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_handle_inplace"]], "cont_has_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_has_key"]], "cont_has_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_has_key_chain"]], "cont_identical() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical"]], "cont_identical_array_shapes() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_array_shapes"]], "cont_identical_configs() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_configs"]], "cont_identical_structure() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_structure"]], "cont_if_exists() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_if_exists"]], "cont_inplace_update() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_inplace_update"]], "cont_ivy (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_ivy"]], "cont_key_chains_containing() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_key_chains_containing"]], "cont_list_join() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_list_join"]], "cont_list_stack() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_list_stack"]], "cont_load() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_load"]], "cont_map() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_map"]], "cont_map_sub_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_map_sub_conts"]], "cont_max_depth (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_max_depth"]], "cont_multi_map() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_multi_map"]], "cont_multi_map_in_function() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_multi_map_in_function"]], "cont_num_arrays() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_num_arrays"]], "cont_overwrite_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_overwrite_at_key_chain"]], "cont_overwrite_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_overwrite_at_key_chains"]], "cont_prune_empty() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_empty"]], "cont_prune_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_chain"]], "cont_prune_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_chains"]], "cont_prune_key_from_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_from_key_chains"]], "cont_prune_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_keys"]], "cont_prune_keys_from_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_keys_from_key_chains"]], "cont_reduce() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_reduce"]], "cont_remove_key_length_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_remove_key_length_limit"]], "cont_remove_print_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_remove_print_limit"]], "cont_reshape_like() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_reshape_like"]], "cont_restructure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_restructure"]], "cont_restructure_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_restructure_key_chains"]], "cont_save() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_save"]], "cont_set_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_key_chain"]], "cont_set_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_key_chains"]], "cont_set_at_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_keys"]], "cont_shape (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_shape"]], "cont_shapes (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_shapes"]], "cont_show() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_show"]], "cont_show_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_show_sub_container"]], "cont_size_ordered_arrays() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_size_ordered_arrays"]], "cont_slice_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_slice_keys"]], "cont_slice_via_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_slice_via_key"]], "cont_sort_by_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_sort_by_key"]], "cont_structural_diff() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_structural_diff"]], "cont_to_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_dict"]], "cont_to_disk_as_hdf5() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_hdf5"]], "cont_to_disk_as_json() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_json"]], "cont_to_disk_as_pickled() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_pickled"]], "cont_to_flat_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_flat_list"]], "cont_to_iterator() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator"]], "cont_to_iterator_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator_keys"]], "cont_to_iterator_values() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator_values"]], "cont_to_jsonable() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_jsonable"]], "cont_to_nested_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_nested_list"]], "cont_to_raw() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_raw"]], "cont_trim_key() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_trim_key"]], "cont_try_kc() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_try_kc"]], "cont_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_unify"]], "cont_unstack_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_unstack_conts"]], "cont_update_config() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_update_config"]], "cont_with_default_key_color() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_default_key_color"]], "cont_with_entries_as_lists() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_entries_as_lists"]], "cont_with_ivy_backend() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_ivy_backend"]], "cont_with_key_length_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_key_length_limit"]], "cont_with_print_indent() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_indent"]], "cont_with_print_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_limit"]], "cont_with_print_line_spacing() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_line_spacing"]], "dynamic_backend (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.dynamic_backend"]], "h5_file_size() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.h5_file_size"]], "ivy.data_classes.container.base": [[69, "module-ivy.data_classes.container.base"]], "shuffle_h5_file() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.shuffle_h5_file"]], "split_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.split_conts"]], "_containerwithconversions (class in ivy.data_classes.container.conversions)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions"]], "_abc_impl (ivy.data_classes.container.conversions._containerwithconversions attribute)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._abc_impl"]], "_static_to_ivy() (ivy.data_classes.container.conversions._containerwithconversions static method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._static_to_ivy"]], "_static_to_native() (ivy.data_classes.container.conversions._containerwithconversions static method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._static_to_native"]], "ivy.data_classes.container.conversions": [[70, "module-ivy.data_classes.container.conversions"]], "to_ivy() (ivy.data_classes.container.conversions._containerwithconversions method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions.to_ivy"]], "to_native() (ivy.data_classes.container.conversions._containerwithconversions method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions.to_native"]], "_containerwithcreation (class in ivy.data_classes.container.creation)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation"]], "_abc_impl (ivy.data_classes.container.creation._containerwithcreation attribute)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._abc_impl"]], "_static_arange() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_arange"]], "_static_asarray() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_asarray"]], "_static_copy_array() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_copy_array"]], "_static_empty() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_empty"]], "_static_empty_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_empty_like"]], "_static_eye() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_eye"]], "_static_from_dlpack() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_from_dlpack"]], "_static_full() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_full"]], "_static_full_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_full_like"]], "_static_linspace() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_linspace"]], "_static_logspace() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_logspace"]], "_static_meshgrid() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_meshgrid"]], "_static_native_array() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_native_array"]], "_static_one_hot() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_one_hot"]], "_static_ones() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_ones"]], "_static_ones_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_ones_like"]], "_static_tril() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_tril"]], "_static_triu() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_triu"]], "_static_zeros() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_zeros"]], "_static_zeros_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_zeros_like"]], "asarray() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.asarray"]], "copy_array() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.copy_array"]], "empty_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.empty_like"]], "from_dlpack() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.from_dlpack"]], "frombuffer() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.frombuffer"]], "full_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.full_like"]], "ivy.data_classes.container.creation": [[71, "module-ivy.data_classes.container.creation"]], "linspace() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.linspace"]], "logspace() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.logspace"]], "meshgrid() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.meshgrid"]], "native_array() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.native_array"]], "one_hot() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.one_hot"]], "ones_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.ones_like"]], "static_frombuffer() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.static_frombuffer"]], "static_triu_indices() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.static_triu_indices"]], "tril() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.tril"]], "triu() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.triu"]], "triu_indices() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.triu_indices"]], "zeros_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.zeros_like"]], "_containerwithdatatypes (class in ivy.data_classes.container.data_type)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes"]], "_abc_impl (ivy.data_classes.container.data_type._containerwithdatatypes attribute)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._abc_impl"]], "_static_astype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_astype"]], "_static_broadcast_arrays() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_broadcast_arrays"]], "_static_broadcast_to() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_broadcast_to"]], "_static_can_cast() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_can_cast"]], "_static_default_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_default_complex_dtype"]], "_static_default_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_default_float_dtype"]], "_static_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_dtype"]], "_static_finfo() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_finfo"]], "_static_function_supported_dtypes() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_function_supported_dtypes"]], "_static_function_unsupported_dtypes() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_function_unsupported_dtypes"]], "_static_iinfo() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_iinfo"]], "_static_is_bool_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_bool_dtype"]], "_static_is_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_complex_dtype"]], "_static_is_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_float_dtype"]], "_static_is_int_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_int_dtype"]], "_static_is_uint_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_uint_dtype"]], "_static_result_type() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_result_type"]], "astype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.astype"]], "broadcast_arrays() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.broadcast_arrays"]], "broadcast_to() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.broadcast_to"]], "can_cast() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.can_cast"]], "dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.dtype"]], "finfo() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.finfo"]], "iinfo() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.iinfo"]], "is_bool_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_bool_dtype"]], "is_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_complex_dtype"]], "is_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_float_dtype"]], "is_int_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_int_dtype"]], "is_uint_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_uint_dtype"]], "ivy.data_classes.container.data_type": [[72, "module-ivy.data_classes.container.data_type"]], "result_type() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.result_type"]], "_containerwithdevice (class in ivy.data_classes.container.device)": [[73, "ivy.data_classes.container.device._ContainerWithDevice"]], "_abc_impl (ivy.data_classes.container.device._containerwithdevice attribute)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._abc_impl"]], "_static_dev() (ivy.data_classes.container.device._containerwithdevice static method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._static_dev"]], "_static_to_device() (ivy.data_classes.container.device._containerwithdevice static method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._static_to_device"]], "dev() (ivy.data_classes.container.device._containerwithdevice method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice.dev"]], "ivy.data_classes.container.device": [[73, "module-ivy.data_classes.container.device"]], "to_device() (ivy.data_classes.container.device._containerwithdevice method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice.to_device"]], "_containerwithelementwise (class in ivy.data_classes.container.elementwise)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise"]], "_abc_impl (ivy.data_classes.container.elementwise._containerwithelementwise attribute)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._abc_impl"]], "_static_abs() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_abs"]], "_static_acos() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_acos"]], "_static_acosh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_acosh"]], "_static_add() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_add"]], "_static_asin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_asin"]], "_static_asinh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_asinh"]], "_static_atan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atan"]], "_static_atan2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atan2"]], "_static_atanh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atanh"]], "_static_bitwise_and() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_and"]], "_static_bitwise_invert() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_invert"]], "_static_bitwise_left_shift() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_left_shift"]], "_static_bitwise_or() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_or"]], "_static_bitwise_right_shift() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_right_shift"]], "_static_bitwise_xor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_xor"]], "_static_ceil() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_ceil"]], "_static_cos() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_cos"]], "_static_cosh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_cosh"]], "_static_deg2rad() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_deg2rad"]], "_static_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_divide"]], "_static_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_equal"]], "_static_erf() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_erf"]], "_static_exp() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_exp"]], "_static_expm1() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_expm1"]], "_static_floor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_floor"]], "_static_floor_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_floor_divide"]], "_static_greater() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_greater"]], "_static_greater_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_greater_equal"]], "_static_isfinite() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isfinite"]], "_static_isinf() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isinf"]], "_static_isnan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isnan"]], "_static_isreal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isreal"]], "_static_lcm() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_lcm"]], "_static_less() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_less"]], "_static_less_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_less_equal"]], "_static_log() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log"]], "_static_log10() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log10"]], "_static_log1p() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log1p"]], "_static_log2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log2"]], "_static_logaddexp() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logaddexp"]], "_static_logical_and() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_and"]], "_static_logical_not() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_not"]], "_static_logical_or() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_or"]], "_static_logical_xor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_xor"]], "_static_maximum() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_maximum"]], "_static_minimum() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_minimum"]], "_static_multiply() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_multiply"]], "_static_negative() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_negative"]], "_static_not_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_not_equal"]], "_static_positive() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_positive"]], "_static_pow() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_pow"]], "_static_rad2deg() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_rad2deg"]], "_static_reciprocal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_reciprocal"]], "_static_remainder() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_remainder"]], "_static_round() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_round"]], "_static_sign() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sign"]], "_static_sin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sin"]], "_static_sinh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sinh"]], "_static_sqrt() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sqrt"]], "_static_square() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_square"]], "_static_subtract() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_subtract"]], "_static_tan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_tan"]], "_static_tanh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_tanh"]], "_static_trapz() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trapz"]], "_static_trunc() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trunc"]], "_static_trunc_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trunc_divide"]], "abs() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.abs"]], "acos() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.acos"]], "acosh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.acosh"]], "add() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.add"]], "angle() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.angle"]], "asin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.asin"]], "asinh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.asinh"]], "atan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atan"]], "atan2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atan2"]], "atanh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atanh"]], "bitwise_and() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_and"]], "bitwise_invert() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_invert"]], "bitwise_left_shift() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_left_shift"]], "bitwise_or() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_or"]], "bitwise_right_shift() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_right_shift"]], "bitwise_xor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_xor"]], "ceil() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.ceil"]], "cos() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.cos"]], "cosh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.cosh"]], "deg2rad() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.deg2rad"]], "divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.divide"]], "equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.equal"]], "erf() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.erf"]], "exp() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.exp"]], "exp2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.exp2"]], "expm1() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.expm1"]], "floor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.floor"]], "floor_divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.floor_divide"]], "fmin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.fmin"]], "gcd() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.gcd"]], "greater() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.greater"]], "greater_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.greater_equal"]], "imag() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.imag"]], "isfinite() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isfinite"]], "isinf() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isinf"]], "isnan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isnan"]], "isreal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isreal"]], "ivy.data_classes.container.elementwise": [[74, "module-ivy.data_classes.container.elementwise"]], "lcm() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.lcm"]], "less() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.less"]], "less_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.less_equal"]], "log() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log"]], "log10() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log10"]], "log1p() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log1p"]], "log2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log2"]], "logaddexp() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logaddexp"]], "logaddexp2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logaddexp2"]], "logical_and() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_and"]], "logical_not() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_not"]], "logical_or() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_or"]], "logical_xor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_xor"]], "maximum() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.maximum"]], "minimum() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.minimum"]], "multiply() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.multiply"]], "nan_to_num() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.nan_to_num"]], "negative() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.negative"]], "not_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.not_equal"]], "positive() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.positive"]], "pow() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.pow"]], "rad2deg() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.rad2deg"]], "real() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.real"]], "reciprocal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.reciprocal"]], "remainder() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.remainder"]], "round() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.round"]], "sign() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sign"]], "sin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sin"]], "sinh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sinh"]], "sqrt() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sqrt"]], "square() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.square"]], "static_angle() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_angle"]], "static_exp2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_exp2"]], "static_fmin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_fmin"]], "static_gcd() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_gcd"]], "static_imag() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_imag"]], "static_logaddexp2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_logaddexp2"]], "static_nan_to_num() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_nan_to_num"]], "static_real() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_real"]], "subtract() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.subtract"]], "tan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.tan"]], "tanh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.tanh"]], "trapz() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trapz"]], "trunc() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trunc"]], "trunc_divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trunc_divide"]], "_containerwithactivationexperimental (class in ivy.data_classes.container.experimental.activations)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental"]], "_containerwithconversionexperimental (class in ivy.data_classes.container.experimental.conversions)": [[75, "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental"]], "_containerwithcreationexperimental (class in ivy.data_classes.container.experimental.creation)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental"]], "_containerwithdata_typeexperimental (class in ivy.data_classes.container.experimental.data_type)": [[75, "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental"]], "_containerwithdeviceexperimental (class in ivy.data_classes.container.experimental.device)": [[75, "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental"]], "_containerwithelementwiseexperimental (class in ivy.data_classes.container.experimental.elementwise)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental"]], "_containerwithgeneralexperimental (class in ivy.data_classes.container.experimental.general)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental"]], "_containerwithgradientsexperimental (class in ivy.data_classes.container.experimental.gradients)": [[75, "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental"]], "_containerwithimageexperimental (class in ivy.data_classes.container.experimental.image)": [[75, "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental"]], "_containerwithlayersexperimental (class in ivy.data_classes.container.experimental.layers)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental"]], "_containerwithlinearalgebraexperimental (class in ivy.data_classes.container.experimental.linear_algebra)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental"]], "_containerwithlossesexperimental (class in ivy.data_classes.container.experimental.losses)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental"]], "_containerwithmanipulationexperimental (class in ivy.data_classes.container.experimental.manipulation)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental"]], "_containerwithnormsexperimental (class in ivy.data_classes.container.experimental.norms)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental"]], "_containerwithrandomexperimental (class in ivy.data_classes.container.experimental.random)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental"]], "_containerwithsearchingexperimental (class in ivy.data_classes.container.experimental.searching)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental"]], "_containerwithsetexperimental (class in ivy.data_classes.container.experimental.set)": [[75, "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental"]], "_containerwithsortingexperimental (class in ivy.data_classes.container.experimental.sorting)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental"]], "_containerwithstatisticalexperimental (class in ivy.data_classes.container.experimental.statistical)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental"]], "_containerwithutilityexperimental (class in ivy.data_classes.container.experimental.utility)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental"]], "_abc_impl (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.conversions._containerwithconversionexperimental attribute)": [[75, "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.data_type._containerwithdata_typeexperimental attribute)": [[75, "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.device._containerwithdeviceexperimental attribute)": [[75, "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental attribute)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental attribute)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.gradients._containerwithgradientsexperimental attribute)": [[75, "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.image._containerwithimageexperimental attribute)": [[75, "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental attribute)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental attribute)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental attribute)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental attribute)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.random._containerwithrandomexperimental attribute)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental attribute)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.set._containerwithsetexperimental attribute)": [[75, "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental attribute)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental attribute)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental attribute)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental._abc_impl"]], "_static_celu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_celu"]], "_static_cummax() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_cummax"]], "_static_cummin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_cummin"]], "_static_elu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_elu"]], "_static_fft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._static_fft"]], "_static_fill_diagonal() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_fill_diagonal"]], "_static_hardshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_hardshrink"]], "_static_hardtanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_hardtanh"]], "_static_huber_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_huber_loss"]], "_static_kl_div() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_kl_div"]], "_static_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_l1_loss"]], "_static_log_poisson_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_log_poisson_loss"]], "_static_nanmin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_nanmin"]], "_static_poisson_nll_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_poisson_nll_loss"]], "_static_put_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_put_along_axis"]], "_static_reduce() (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental static method)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental._static_reduce"]], "_static_scaled_tanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_scaled_tanh"]], "_static_silu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_silu"]], "_static_sliding_window() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._static_sliding_window"]], "_static_smooth_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_smooth_l1_loss"]], "_static_soft_margin_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_soft_margin_loss"]], "_static_softshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_softshrink"]], "_static_take() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_take"]], "_static_tanhshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_tanhshrink"]], "_static_threshold() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_threshold"]], "_static_trilu() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental._static_trilu"]], "_static_trim_zeros() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_trim_zeros"]], "_static_unique_consecutive() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_unique_consecutive"]], "adaptive_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_max_pool2d"]], "adjoint() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.adjoint"]], "allclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.allclose"]], "amax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.amax"]], "amin() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.amin"]], "as_strided() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.as_strided"]], "associative_scan() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.associative_scan"]], "atleast_1d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_1d"]], "atleast_2d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_2d"]], "atleast_3d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_3d"]], "avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool1d"]], "avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool2d"]], "avg_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool3d"]], "batch_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.batch_norm"]], "batched_outer() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.batched_outer"]], "bernoulli() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.bernoulli"]], "beta() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.beta"]], "binarizer() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.binarizer"]], "bincount() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.bincount"]], "blackman_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.blackman_window"]], "broadcast_shapes() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.broadcast_shapes"]], "celu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.celu"]], "column_stack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.column_stack"]], "concat_from_sequence() (in module ivy.data_classes.container.experimental.manipulation)": [[75, "ivy.data_classes.container.experimental.manipulation.concat_from_sequence"]], "concat_from_sequence() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.concat_from_sequence"]], "cond() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.cond"]], "conj() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.conj"]], "copysign() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.copysign"]], "corrcoef() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.corrcoef"]], "count_nonzero() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.count_nonzero"]], "cov() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cov"]], "cummax() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cummax"]], "cummin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cummin"]], "dct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.dct"]], "dft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.dft"]], "diagflat() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.diagflat"]], "diff() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.diff"]], "digamma() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.digamma"]], "dirichlet() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.dirichlet"]], "dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.dot"]], "dsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.dsplit"]], "dstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.dstack"]], "eig() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eig"]], "eigh_tridiagonal() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eigh_tridiagonal"]], "eigvals() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eigvals"]], "elu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.elu"]], "embedding() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.embedding"]], "erfc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.erfc"]], "expand() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.expand"]], "eye_like() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.eye_like"]], "fft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.fft"]], "fill_diagonal() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fill_diagonal"]], "fix() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fix"]], "flatten() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.flatten"]], "fliplr() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fliplr"]], "flipud() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.flipud"]], "float_power() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.float_power"]], "fmax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fmax"]], "fmod() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fmod"]], "fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fold"]], "frexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.frexp"]], "gamma() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.gamma"]], "gradient() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.gradient"]], "group_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.group_norm"]], "hamming_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.hamming_window"]], "hann_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.hann_window"]], "hardshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.hardshrink"]], "hardtanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.hardtanh"]], "heaviside() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.heaviside"]], "higher_order_moment() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.higher_order_moment"]], "histogram() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.histogram"]], "hsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.hsplit"]], "hstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.hstack"]], "huber_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.huber_loss"]], "hypot() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.hypot"]], "i0() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.i0"]], "idct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.idct"]], "ifft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.ifft"]], "ifftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.ifftn"]], "igamma() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.igamma"]], "initialize_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.initialize_tucker"]], "instance_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.instance_norm"]], "interpolate() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.interpolate"]], "invert_permutation() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.invert_permutation"]], "isclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.isclose"]], "ivy.data_classes.container.experimental": [[75, "module-ivy.data_classes.container.experimental"]], "ivy.data_classes.container.experimental.activations": [[75, "module-ivy.data_classes.container.experimental.activations"]], "ivy.data_classes.container.experimental.conversions": [[75, "module-ivy.data_classes.container.experimental.conversions"]], "ivy.data_classes.container.experimental.creation": [[75, "module-ivy.data_classes.container.experimental.creation"]], "ivy.data_classes.container.experimental.data_type": [[75, "module-ivy.data_classes.container.experimental.data_type"]], "ivy.data_classes.container.experimental.device": [[75, "module-ivy.data_classes.container.experimental.device"]], "ivy.data_classes.container.experimental.elementwise": [[75, "module-ivy.data_classes.container.experimental.elementwise"]], "ivy.data_classes.container.experimental.general": [[75, "module-ivy.data_classes.container.experimental.general"]], "ivy.data_classes.container.experimental.gradients": [[75, "module-ivy.data_classes.container.experimental.gradients"]], "ivy.data_classes.container.experimental.image": [[75, "module-ivy.data_classes.container.experimental.image"]], "ivy.data_classes.container.experimental.layers": [[75, "module-ivy.data_classes.container.experimental.layers"]], "ivy.data_classes.container.experimental.linear_algebra": [[75, "module-ivy.data_classes.container.experimental.linear_algebra"]], "ivy.data_classes.container.experimental.losses": [[75, "module-ivy.data_classes.container.experimental.losses"]], "ivy.data_classes.container.experimental.manipulation": [[75, "module-ivy.data_classes.container.experimental.manipulation"]], "ivy.data_classes.container.experimental.norms": [[75, "module-ivy.data_classes.container.experimental.norms"]], "ivy.data_classes.container.experimental.random": [[75, "module-ivy.data_classes.container.experimental.random"]], "ivy.data_classes.container.experimental.searching": [[75, "module-ivy.data_classes.container.experimental.searching"]], "ivy.data_classes.container.experimental.set": [[75, "module-ivy.data_classes.container.experimental.set"]], "ivy.data_classes.container.experimental.sorting": [[75, "module-ivy.data_classes.container.experimental.sorting"]], "ivy.data_classes.container.experimental.statistical": [[75, "module-ivy.data_classes.container.experimental.statistical"]], "ivy.data_classes.container.experimental.utility": [[75, "module-ivy.data_classes.container.experimental.utility"]], "kaiser_bessel_derived_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.kaiser_bessel_derived_window"]], "kaiser_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.kaiser_window"]], "kl_div() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.kl_div"]], "kron() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.kron"]], "l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.l1_loss"]], "l1_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.l1_normalize"]], "l2_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.l2_normalize"]], "ldexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.ldexp"]], "lerp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.lerp"]], "lexsort() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.lexsort"]], "log_poisson_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.log_poisson_loss"]], "logit() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.logit"]], "logsigmoid() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.logsigmoid"]], "lp_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.lp_normalize"]], "make_svd_non_negative() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.make_svd_non_negative"]], "matricize() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.matricize"]], "matrix_exp() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.matrix_exp"]], "max_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool1d"]], "max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool2d"]], "max_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool3d"]], "max_unpool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_unpool1d"]], "median() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.median"]], "mel_weight_matrix() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.mel_weight_matrix"]], "mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.mode_dot"]], "modf() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.modf"]], "moveaxis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.moveaxis"]], "multi_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.multi_dot"]], "multi_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.multi_mode_dot"]], "nanmean() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmean"]], "nanmedian() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmedian"]], "nanmin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmin"]], "nanprod() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanprod"]], "nansum() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.nansum"]], "nextafter() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.nextafter"]], "optional_get_element() (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental method)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental.optional_get_element"]], "pad() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.pad"]], "partial_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_fold"]], "partial_tensor_to_vec() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_tensor_to_vec"]], "partial_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.partial_tucker"]], "partial_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_unfold"]], "partial_vec_to_tensor() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_vec_to_tensor"]], "poisson() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.poisson"]], "poisson_nll_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.poisson_nll_loss"]], "polyval() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.polyval"]], "prelu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.prelu"]], "put_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.put_along_axis"]], "quantile() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.quantile"]], "reduce() (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental method)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental.reduce"]], "relu6() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.relu6"]], "rfft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.rfft"]], "rfftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.rfftn"]], "rot90() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.rot90"]], "scaled_tanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.scaled_tanh"]], "selu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.selu"]], "signbit() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.signbit"]], "silu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.silu"]], "sinc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.sinc"]], "sliding_window() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.sliding_window"]], "smooth_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.smooth_l1_loss"]], "soft_margin_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.soft_margin_loss"]], "soft_thresholding() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.soft_thresholding"]], "softshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.softshrink"]], "sparsify_tensor() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.sparsify_tensor"]], "static_adaptive_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_avg_pool1d"]], "static_adaptive_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_avg_pool2d"]], "static_adaptive_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_max_pool2d"]], "static_adjoint() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_adjoint"]], "static_allclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_allclose"]], "static_amax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_amax"]], "static_amin() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_amin"]], "static_as_strided() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_as_strided"]], "static_atleast_1d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_1d"]], "static_atleast_2d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_2d"]], "static_atleast_3d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_3d"]], "static_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool1d"]], "static_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool2d"]], "static_avg_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool3d"]], "static_batch_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_batch_norm"]], "static_batched_outer() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_batched_outer"]], "static_bernoulli() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_bernoulli"]], "static_beta() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_beta"]], "static_binarizer() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_binarizer"]], "static_bincount() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_bincount"]], "static_blackman_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_blackman_window"]], "static_broadcast_shapes() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_broadcast_shapes"]], "static_column_stack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_column_stack"]], "static_concat_from_sequence() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_concat_from_sequence"]], "static_cond() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_cond"]], "static_conj() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_conj"]], "static_copysign() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_copysign"]], "static_corrcoef() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_corrcoef"]], "static_count_nonzero() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_count_nonzero"]], "static_cov() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_cov"]], "static_dct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_dct"]], "static_dft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_dft"]], "static_diagflat() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_diagflat"]], "static_diff() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_diff"]], "static_digamma() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_digamma"]], "static_dirichlet() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_dirichlet"]], "static_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_dot"]], "static_dsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_dsplit"]], "static_dstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_dstack"]], "static_eig() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eig"]], "static_eigh_tridiagonal() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eigh_tridiagonal"]], "static_eigvals() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eigvals"]], "static_embedding() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_embedding"]], "static_erfc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_erfc"]], "static_expand() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_expand"]], "static_eye_like() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_eye_like"]], "static_fix() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fix"]], "static_flatten() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_flatten"]], "static_fliplr() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_fliplr"]], "static_flipud() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_flipud"]], "static_float_power() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_float_power"]], "static_fmax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fmax"]], "static_fmod() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fmod"]], "static_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_fold"]], "static_frexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_frexp"]], "static_gamma() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_gamma"]], "static_gradient() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_gradient"]], "static_group_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_group_norm"]], "static_hamming_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_hamming_window"]], "static_hann_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_hann_window"]], "static_heaviside() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_heaviside"]], "static_higher_order_moment() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_higher_order_moment"]], "static_histogram() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_histogram"]], "static_hsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_hsplit"]], "static_hstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_hstack"]], "static_hypot() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_hypot"]], "static_i0() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_i0"]], "static_idct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_idct"]], "static_ifft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_ifft"]], "static_ifftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_ifftn"]], "static_igamma() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_igamma"]], "static_initialize_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_initialize_tucker"]], "static_instance_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_instance_norm"]], "static_interpolate() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_interpolate"]], "static_invert_permutation() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental static method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.static_invert_permutation"]], "static_isclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_isclose"]], "static_kaiser_bessel_derived_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_kaiser_bessel_derived_window"]], "static_kaiser_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_kaiser_window"]], "static_kron() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_kron"]], "static_l1_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_l1_normalize"]], "static_l2_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_l2_normalize"]], "static_ldexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_ldexp"]], "static_lerp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_lerp"]], "static_lexsort() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental static method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.static_lexsort"]], "static_logit() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_logit"]], "static_logsigmoid() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_logsigmoid"]], "static_lp_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_lp_normalize"]], "static_make_svd_non_negative() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_make_svd_non_negative"]], "static_matricize() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_matricize"]], "static_matrix_exp() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_matrix_exp"]], "static_max_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool1d"]], "static_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool2d"]], "static_max_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool3d"]], "static_max_unpool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_unpool1d"]], "static_median() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_median"]], "static_mel_weight_matrix() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_mel_weight_matrix"]], "static_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_mode_dot"]], "static_modf() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_modf"]], "static_moveaxis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_moveaxis"]], "static_multi_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_multi_dot"]], "static_multi_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_multi_mode_dot"]], "static_nanmean() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanmean"]], "static_nanmedian() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanmedian"]], "static_nanprod() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanprod"]], "static_nansum() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_nansum"]], "static_nextafter() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_nextafter"]], "static_optional_get_element() (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental static method)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental.static_optional_get_element"]], "static_pad() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_pad"]], "static_partial_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_fold"]], "static_partial_tensor_to_vec() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_tensor_to_vec"]], "static_partial_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_partial_tucker"]], "static_partial_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_unfold"]], "static_partial_vec_to_tensor() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_vec_to_tensor"]], "static_poisson() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_poisson"]], "static_polyval() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_polyval"]], "static_prelu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_prelu"]], "static_quantile() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_quantile"]], "static_relu6() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_relu6"]], "static_rfft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rfft"]], "static_rfftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rfftn"]], "static_rnn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rnn"]], "static_rot90() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_rot90"]], "static_selu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_selu"]], "static_signbit() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_signbit"]], "static_sinc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_sinc"]], "static_soft_thresholding() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_soft_thresholding"]], "static_sparsify_tensor() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_sparsify_tensor"]], "static_stft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_stft"]], "static_svd_flip() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_svd_flip"]], "static_take_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_take_along_axis"]], "static_tensor_train() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tensor_train"]], "static_thresholded_relu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_thresholded_relu"]], "static_top_k() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_top_k"]], "static_tril_indices() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_tril_indices"]], "static_truncated_svd() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_truncated_svd"]], "static_tt_matrix_to_tensor() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tt_matrix_to_tensor"]], "static_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tucker"]], "static_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_unfold"]], "static_unravel_index() (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental static method)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental.static_unravel_index"]], "static_unsorted_segment_mean() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_mean"]], "static_unsorted_segment_min() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_min"]], "static_unsorted_segment_sum() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_sum"]], "static_vorbis_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_vorbis_window"]], "static_vsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_vsplit"]], "static_vstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_vstack"]], "static_xlogy() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_xlogy"]], "static_zeta() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_zeta"]], "stft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.stft"]], "svd_flip() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.svd_flip"]], "take() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.take"]], "take_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.take_along_axis"]], "tanhshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.tanhshrink"]], "tensor_train() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tensor_train"]], "threshold() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.threshold"]], "thresholded_relu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.thresholded_relu"]], "top_k() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.top_k"]], "tril_indices() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.tril_indices"]], "trilu() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.trilu"]], "trim_zeros() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.trim_zeros"]], "truncated_svd() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.truncated_svd"]], "tt_matrix_to_tensor() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tt_matrix_to_tensor"]], "tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tucker"]], "unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.unfold"]], "unique_consecutive() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.unique_consecutive"]], "unravel_index() (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental method)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental.unravel_index"]], "unsorted_segment_mean() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_mean"]], "unsorted_segment_min() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_min"]], "unsorted_segment_sum() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_sum"]], "vorbis_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.vorbis_window"]], "vsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.vsplit"]], "vstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.vstack"]], "xlogy() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.xlogy"]], "zeta() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.zeta"]], "_containerwithgeneral (class in ivy.data_classes.container.general)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral"]], "_abc_impl (ivy.data_classes.container.general._containerwithgeneral attribute)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._abc_impl"]], "_static_all_equal() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_all_equal"]], "_static_array_equal() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_array_equal"]], "_static_assert_supports_inplace() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_assert_supports_inplace"]], "_static_clip_matrix_norm() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_clip_matrix_norm"]], "_static_clip_vector_norm() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_clip_vector_norm"]], "_static_einops_rearrange() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_rearrange"]], "_static_einops_reduce() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_reduce"]], "_static_einops_repeat() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_repeat"]], "_static_exists() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_exists"]], "_static_fourier_encode() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_fourier_encode"]], "_static_gather() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_gather"]], "_static_gather_nd() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_gather_nd"]], "_static_get_num_dims() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_get_num_dims"]], "_static_has_nans() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_has_nans"]], "_static_inplace_decrement() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_decrement"]], "_static_inplace_increment() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_increment"]], "_static_inplace_update() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_update"]], "_static_is_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_array"]], "_static_is_ivy_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_ivy_array"]], "_static_is_native_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_native_array"]], "_static_scatter_flat() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_scatter_flat"]], "_static_scatter_nd() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_scatter_nd"]], "_static_stable_divide() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_stable_divide"]], "_static_stable_pow() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_stable_pow"]], "_static_supports_inplace_updates() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_supports_inplace_updates"]], "_static_to_list() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_list"]], "_static_to_numpy() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_numpy"]], "_static_to_scalar() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_scalar"]], "_static_value_is_nan() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_value_is_nan"]], "all_equal() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.all_equal"]], "array_equal() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.array_equal"]], "assert_supports_inplace() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.assert_supports_inplace"]], "clip_matrix_norm() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.clip_matrix_norm"]], "clip_vector_norm() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.clip_vector_norm"]], "einops_rearrange() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_rearrange"]], "einops_reduce() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_reduce"]], "einops_repeat() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_repeat"]], "exists() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.exists"]], "fourier_encode() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.fourier_encode"]], "gather() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.gather"]], "gather_nd() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.gather_nd"]], "get_num_dims() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.get_num_dims"]], "has_nans() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.has_nans"]], "inplace_decrement() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_decrement"]], "inplace_increment() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_increment"]], "inplace_update() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_update"]], "is_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_array"]], "is_ivy_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_ivy_array"]], "is_native_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_native_array"]], "isin() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.isin"]], "itemsize() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.itemsize"]], "ivy.data_classes.container.general": [[76, "module-ivy.data_classes.container.general"]], "scatter_flat() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.scatter_flat"]], "scatter_nd() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.scatter_nd"]], "stable_divide() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.stable_divide"]], "stable_pow() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.stable_pow"]], "static_isin() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_isin"]], "static_itemsize() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_itemsize"]], "static_strides() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_strides"]], "strides() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.strides"]], "supports_inplace_updates() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.supports_inplace_updates"]], "to_list() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_list"]], "to_numpy() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_numpy"]], "to_scalar() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_scalar"]], "value_is_nan() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.value_is_nan"]], "_containerwithgradients (class in ivy.data_classes.container.gradients)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients"]], "_abc_impl (ivy.data_classes.container.gradients._containerwithgradients attribute)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients._abc_impl"]], "_static_stop_gradient() (ivy.data_classes.container.gradients._containerwithgradients static method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients._static_stop_gradient"]], "adam_step() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.adam_step"]], "adam_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.adam_update"]], "gradient_descent_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.gradient_descent_update"]], "ivy.data_classes.container.gradients": [[77, "module-ivy.data_classes.container.gradients"]], "lamb_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.lamb_update"]], "lars_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.lars_update"]], "optimizer_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.optimizer_update"]], "stop_gradient() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.stop_gradient"]], "_containerwithimage (class in ivy.data_classes.container.image)": [[78, "ivy.data_classes.container.image._ContainerWithImage"]], "_abc_impl (ivy.data_classes.container.image._containerwithimage attribute)": [[78, "ivy.data_classes.container.image._ContainerWithImage._abc_impl"]], "ivy.data_classes.container.image": [[78, "module-ivy.data_classes.container.image"]], "_containerwithlayers (class in ivy.data_classes.container.layers)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers"]], "_abc_impl (ivy.data_classes.container.layers._containerwithlayers attribute)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._abc_impl"]], "_static_conv1d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv1d"]], "_static_conv1d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv1d_transpose"]], "_static_conv2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv2d"]], "_static_conv2d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv2d_transpose"]], "_static_conv3d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv3d"]], "_static_conv3d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv3d_transpose"]], "_static_depthwise_conv2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_depthwise_conv2d"]], "_static_dropout() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout"]], "_static_dropout1d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout1d"]], "_static_dropout2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout2d"]], "_static_dropout3d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout3d"]], "_static_linear() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_linear"]], "_static_lstm_update() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_lstm_update"]], "_static_multi_head_attention() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_multi_head_attention"]], "_static_reduce_window() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_reduce_window"]], "_static_scaled_dot_product_attention() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_scaled_dot_product_attention"]], "conv1d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv1d"]], "conv1d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv1d_transpose"]], "conv2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv2d"]], "conv2d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv2d_transpose"]], "conv3d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv3d"]], "conv3d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv3d_transpose"]], "depthwise_conv2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.depthwise_conv2d"]], "dropout() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout"]], "dropout1d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout1d"]], "dropout2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout2d"]], "dropout3d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout3d"]], "ivy.data_classes.container.layers": [[79, "module-ivy.data_classes.container.layers"]], "linear() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.linear"]], "lstm_update() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.lstm_update"]], "multi_head_attention() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.multi_head_attention"]], "reduce_window() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.reduce_window"]], "scaled_dot_product_attention() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.scaled_dot_product_attention"]], "_containerwithlinearalgebra (class in ivy.data_classes.container.linear_algebra)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra"]], "_abc_impl (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra attribute)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._abc_impl"]], "_static_cholesky() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_cholesky"]], "_static_cross() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_cross"]], "_static_det() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_det"]], "_static_diag() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_diag"]], "_static_diagonal() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_diagonal"]], "_static_eigh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_eigh"]], "_static_eigvalsh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_eigvalsh"]], "_static_inner() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_inner"]], "_static_inv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_inv"]], "_static_matmul() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matmul"]], "_static_matrix_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_norm"]], "_static_matrix_power() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_power"]], "_static_matrix_rank() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_rank"]], "_static_matrix_transpose() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_transpose"]], "_static_outer() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_outer"]], "_static_pinv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_pinv"]], "_static_qr() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_qr"]], "_static_slogdet() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_slogdet"]], "_static_solve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_solve"]], "_static_svd() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_svd"]], "_static_svdvals() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_svdvals"]], "_static_tensordot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_tensordot"]], "_static_tensorsolve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_tensorsolve"]], "_static_trace() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_trace"]], "_static_vander() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vander"]], "_static_vecdot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vecdot"]], "_static_vector_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vector_norm"]], "_static_vector_to_skew_symmetric_matrix() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vector_to_skew_symmetric_matrix"]], "cholesky() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.cholesky"]], "cross() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.cross"]], "det() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.det"]], "diag() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.diag"]], "diagonal() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.diagonal"]], "eigh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.eigh"]], "eigvalsh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.eigvalsh"]], "general_inner_product() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.general_inner_product"]], "inner() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.inner"]], "inv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.inv"]], "ivy.data_classes.container.linear_algebra": [[80, "module-ivy.data_classes.container.linear_algebra"]], "matmul() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matmul"]], "matrix_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_norm"]], "matrix_power() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_power"]], "matrix_rank() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_rank"]], "matrix_transpose() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_transpose"]], "outer() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.outer"]], "pinv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.pinv"]], "qr() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.qr"]], "slogdet() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.slogdet"]], "solve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.solve"]], "static_general_inner_product() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.static_general_inner_product"]], "svd() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.svd"]], "svdvals() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.svdvals"]], "tensordot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.tensordot"]], "tensorsolve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.tensorsolve"]], "trace() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.trace"]], "vander() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vander"]], "vecdot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vecdot"]], "vector_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vector_to_skew_symmetric_matrix"]], "_containerwithlosses (class in ivy.data_classes.container.losses)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses"]], "_abc_impl (ivy.data_classes.container.losses._containerwithlosses attribute)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._abc_impl"]], "_static_binary_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_binary_cross_entropy"]], "_static_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_cross_entropy"]], "_static_sparse_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_sparse_cross_entropy"]], "binary_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.binary_cross_entropy"]], "cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.cross_entropy"]], "ivy.data_classes.container.losses": [[81, "module-ivy.data_classes.container.losses"]], "sparse_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.sparse_cross_entropy"]], "_containerwithmanipulation (class in ivy.data_classes.container.manipulation)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation"]], "_abc_impl (ivy.data_classes.container.manipulation._containerwithmanipulation attribute)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._abc_impl"]], "_static_clip() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_clip"]], "_static_concat() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_concat"]], "_static_constant_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_constant_pad"]], "_static_expand_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_expand_dims"]], "_static_flip() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_flip"]], "_static_permute_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_permute_dims"]], "_static_repeat() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_repeat"]], "_static_reshape() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_reshape"]], "_static_roll() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_roll"]], "_static_split() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_split"]], "_static_squeeze() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_squeeze"]], "_static_stack() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_stack"]], "_static_swapaxes() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_swapaxes"]], "_static_tile() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_tile"]], "_static_unstack() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_unstack"]], "_static_zero_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_zero_pad"]], "clip() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.clip"]], "concat() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.concat"]], "constant_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.constant_pad"]], "expand_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.expand_dims"]], "flip() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.flip"]], "ivy.data_classes.container.manipulation": [[82, "module-ivy.data_classes.container.manipulation"]], "permute_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.permute_dims"]], "repeat() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.repeat"]], "reshape() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.reshape"]], "roll() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.roll"]], "split() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.split"]], "squeeze() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.squeeze"]], "stack() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.stack"]], "swapaxes() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.swapaxes"]], "tile() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.tile"]], "unstack() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.unstack"]], "zero_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.zero_pad"]], "_containerwithnorms (class in ivy.data_classes.container.norms)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms"]], "_abc_impl (ivy.data_classes.container.norms._containerwithnorms attribute)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms._abc_impl"]], "ivy.data_classes.container.norms": [[83, "module-ivy.data_classes.container.norms"]], "layer_norm() (ivy.data_classes.container.norms._containerwithnorms method)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms.layer_norm"]], "_containerwithrandom (class in ivy.data_classes.container.random)": [[84, "ivy.data_classes.container.random._ContainerWithRandom"]], "_abc_impl (ivy.data_classes.container.random._containerwithrandom attribute)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._abc_impl"]], "_static_multinomial() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_multinomial"]], "_static_randint() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_randint"]], "_static_random_normal() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_random_normal"]], "_static_random_uniform() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_random_uniform"]], "_static_shuffle() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_shuffle"]], "ivy.data_classes.container.random": [[84, "module-ivy.data_classes.container.random"]], "multinomial() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.multinomial"]], "randint() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.randint"]], "random_normal() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.random_normal"]], "random_uniform() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.random_uniform"]], "shuffle() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.shuffle"]], "_containerwithsearching (class in ivy.data_classes.container.searching)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching"]], "_abc_impl (ivy.data_classes.container.searching._containerwithsearching attribute)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._abc_impl"]], "_static_argmax() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argmax"]], "_static_argmin() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argmin"]], "_static_argwhere() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argwhere"]], "_static_nonzero() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_nonzero"]], "_static_where() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_where"]], "argmax() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argmax"]], "argmin() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argmin"]], "argwhere() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argwhere"]], "ivy.data_classes.container.searching": [[85, "module-ivy.data_classes.container.searching"]], "nonzero() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.nonzero"]], "where() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.where"]], "_containerwithset (class in ivy.data_classes.container.set)": [[86, "ivy.data_classes.container.set._ContainerWithSet"]], "_abc_impl (ivy.data_classes.container.set._containerwithset attribute)": [[86, "ivy.data_classes.container.set._ContainerWithSet._abc_impl"]], "_static_unique_all() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_all"]], "_static_unique_counts() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_counts"]], "_static_unique_inverse() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_inverse"]], "_static_unique_values() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_values"]], "ivy.data_classes.container.set": [[86, "module-ivy.data_classes.container.set"]], "unique_all() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_all"]], "unique_counts() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_counts"]], "unique_inverse() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_inverse"]], "unique_values() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_values"]], "_containerwithsorting (class in ivy.data_classes.container.sorting)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting"]], "_abc_impl (ivy.data_classes.container.sorting._containerwithsorting attribute)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._abc_impl"]], "_static_argsort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_argsort"]], "_static_searchsorted() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_searchsorted"]], "_static_sort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_sort"]], "argsort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.argsort"]], "ivy.data_classes.container.sorting": [[87, "module-ivy.data_classes.container.sorting"]], "msort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.msort"]], "searchsorted() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.searchsorted"]], "sort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.sort"]], "static_msort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.static_msort"]], "_containerwithstatistical (class in ivy.data_classes.container.statistical)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical"]], "_abc_impl (ivy.data_classes.container.statistical._containerwithstatistical attribute)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._abc_impl"]], "_static_cumprod() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_cumprod"]], "_static_cumsum() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_cumsum"]], "_static_min() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_min"]], "_static_prod() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_prod"]], "_static_sum() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_sum"]], "_static_var() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_var"]], "cumprod() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.cumprod"]], "cumsum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.cumsum"]], "einsum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.einsum"]], "ivy.data_classes.container.statistical": [[88, "module-ivy.data_classes.container.statistical"]], "max() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.max"]], "mean() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.mean"]], "min() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.min"]], "prod() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.prod"]], "std() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.std"]], "sum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.sum"]], "var() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.var"]], "_containerwithutility (class in ivy.data_classes.container.utility)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility"]], "_abc_impl (ivy.data_classes.container.utility._containerwithutility attribute)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._abc_impl"]], "_static_all() (ivy.data_classes.container.utility._containerwithutility static method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._static_all"]], "_static_any() (ivy.data_classes.container.utility._containerwithutility static method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._static_any"]], "all() (ivy.data_classes.container.utility._containerwithutility method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility.all"]], "any() (ivy.data_classes.container.utility._containerwithutility method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility.any"]], "ivy.data_classes.container.utility": [[89, "module-ivy.data_classes.container.utility"]], "_wrap_function() (in module ivy.data_classes.container.wrapping)": [[90, "ivy.data_classes.container.wrapping._wrap_function"]], "add_ivy_container_instance_methods() (in module ivy.data_classes.container.wrapping)": [[90, "ivy.data_classes.container.wrapping.add_ivy_container_instance_methods"]], "ivy.data_classes.container.wrapping": [[90, "module-ivy.data_classes.container.wrapping"]], "factorizedtensor (class in ivy.data_classes.factorized_tensor.base)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor"]], "__init__() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.base.factorizedtensor attribute)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor._abc_impl"]], "ivy.data_classes.factorized_tensor.base": [[91, "module-ivy.data_classes.factorized_tensor.base"]], "mode_dot() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.mode_dot"]], "norm() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.norm"]], "to_tensor() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_vec"]], "cptensor (class in ivy.data_classes.factorized_tensor.cp_tensor)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor"]], "__init__() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.cp_tensor.cptensor attribute)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor._abc_impl"]], "cp_copy() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_copy"]], "cp_flip_sign() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_flip_sign"]], "cp_lstsq_grad() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_lstsq_grad"]], "cp_mode_dot() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_mode_dot"]], "cp_n_param() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_n_param"]], "cp_norm() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_norm"]], "cp_normalize() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_normalize"]], "cp_to_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_tensor"]], "cp_to_unfolded() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_unfolded"]], "cp_to_vec() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_vec"]], "ivy.data_classes.factorized_tensor.cp_tensor": [[92, "module-ivy.data_classes.factorized_tensor.cp_tensor"]], "mode_dot() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.mode_dot"]], "n_param (ivy.data_classes.factorized_tensor.cp_tensor.cptensor property)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.n_param"]], "norm() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.norm"]], "normalize() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.normalize"]], "to_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_vec"]], "unfolding_dot_khatri_rao() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.unfolding_dot_khatri_rao"]], "validate_cp_rank() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.validate_cp_rank"]], "validate_cp_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.validate_cp_tensor"]], "parafac2tensor (class in ivy.data_classes.factorized_tensor.parafac2_tensor)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor"]], "__init__() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor attribute)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor._abc_impl"]], "apply_parafac2_projections() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.apply_parafac2_projections"]], "from_cptensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor class method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.from_CPTensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor": [[93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"]], "n_param (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor property)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.n_param"]], "parafac2_normalise() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_normalise"]], "parafac2_to_slice() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_slice"]], "parafac2_to_slices() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_slices"]], "parafac2_to_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_tensor"]], "parafac2_to_unfolded() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_unfolded"]], "parafac2_to_vec() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_vec"]], "to_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_vec"]], "validate_parafac2_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.validate_parafac2_tensor"]], "trtensor (class in ivy.data_classes.factorized_tensor.tr_tensor)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tr_tensor.trtensor attribute)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor._abc_impl"]], "ivy.data_classes.factorized_tensor.tr_tensor": [[94, "module-ivy.data_classes.factorized_tensor.tr_tensor"]], "n_param (ivy.data_classes.factorized_tensor.tr_tensor.trtensor property)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.n_param"]], "to_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_vec"]], "tr_n_param() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_n_param"]], "tr_to_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_tensor"]], "tr_to_unfolded() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_unfolded"]], "tr_to_vec() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_vec"]], "validate_tr_rank() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.validate_tr_rank"]], "validate_tr_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.validate_tr_tensor"]], "tttensor (class in ivy.data_classes.factorized_tensor.tt_tensor)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tt_tensor.tttensor attribute)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor._abc_impl"]], "_tt_n_param() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor._tt_n_param"]], "index_update() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.index_update"]], "ivy.data_classes.factorized_tensor.tt_tensor": [[95, "module-ivy.data_classes.factorized_tensor.tt_tensor"]], "n_param (ivy.data_classes.factorized_tensor.tt_tensor.tttensor property)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.n_param"]], "pad_tt_rank() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.pad_tt_rank"]], "to_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_tensor"]], "to_unfolding() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_unfolding"]], "to_vec() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_vec"]], "tt_to_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_tensor"]], "tt_to_unfolded() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_unfolded"]], "tt_to_vec() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_vec"]], "validate_tt_rank() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.validate_tt_rank"]], "validate_tt_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.validate_tt_tensor"]], "tuckertensor (class in ivy.data_classes.factorized_tensor.tucker_tensor)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor attribute)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor._abc_impl"]], "_bisection_root_finder() (in module ivy.data_classes.factorized_tensor.tucker_tensor)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor._bisection_root_finder"]], "ivy.data_classes.factorized_tensor.tucker_tensor": [[96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"]], "mode_dot() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.mode_dot"]], "n_param (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor property)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.n_param"]], "to_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_vec"]], "tucker_copy() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_copy"]], "tucker_mode_dot() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_mode_dot"]], "tucker_n_param() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_n_param"]], "tucker_normalize() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_normalize"]], "tucker_to_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_tensor"]], "tucker_to_unfolded() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_unfolded"]], "tucker_to_vec() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_vec"]], "validate_tucker_rank() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.validate_tucker_rank"]], "validate_tucker_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.validate_tucker_tensor"]], "array (class in ivy.data_classes.array.array)": [[97, "ivy.data_classes.array.array.Array"]], "t (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.T"]], "__abs__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__abs__"]], "__add__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__add__"]], "__eq__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__eq__"]], "__ge__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__ge__"]], "__gt__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__gt__"]], "__init__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__init__"]], "__le__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__le__"]], "__lt__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__lt__"]], "__ne__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__ne__"]], "__pow__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__pow__"]], "__radd__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__radd__"]], "__rrshift__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rrshift__"]], "__rshift__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rshift__"]], "__rsub__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rsub__"]], "__sub__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__sub__"]], "__truediv__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__truediv__"]], "__xor__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__xor__"]], "backend (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.backend"]], "base (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.base"]], "data (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.data"]], "device (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.device"]], "dtype (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.dtype"]], "dynamic_backend (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.dynamic_backend"]], "imag (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.imag"]], "itemsize (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.itemsize"]], "ivy.data_classes.array.array": [[97, "module-ivy.data_classes.array.array"]], "mt (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.mT"]], "ndim (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.ndim"]], "real (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.real"]], "shape (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.shape"]], "size (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.size"]], "strides (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.strides"]], "container (class in ivy.data_classes.container.container)": [[98, "ivy.data_classes.container.container.Container"]], "__abs__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__abs__"]], "__add__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__add__"]], "__eq__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__eq__"]], "__ge__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__ge__"]], "__gt__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__gt__"]], "__init__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__init__"]], "__le__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__le__"]], "__lt__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__lt__"]], "__ne__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__ne__"]], "__pow__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__pow__"]], "__radd__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__radd__"]], "__rrshift__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rrshift__"]], "__rshift__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rshift__"]], "__rsub__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rsub__"]], "__sub__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__sub__"]], "__truediv__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__truediv__"]], "__xor__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__xor__"]], "ivy.data_classes.container.container": [[98, "module-ivy.data_classes.container.container"]], "nestedarray (class in ivy.data_classes.nested_array.nested_array)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray"]], "__init__() (ivy.data_classes.nested_array.nested_array.nestedarray method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.__init__"]], "from_row_lengths() (ivy.data_classes.nested_array.nested_array.nestedarray class method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.from_row_lengths"]], "from_row_splits() (ivy.data_classes.nested_array.nested_array.nestedarray class method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.from_row_splits"]], "ivy.data_classes.nested_array.nested_array": [[100, "module-ivy.data_classes.nested_array.nested_array"]], "nestedarraybase (class in ivy.data_classes.nested_array.base)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase"]], "__init__() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.__init__"]], "_abc_impl (ivy.data_classes.nested_array.base.nestedarraybase attribute)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase._abc_impl"]], "broadcast_shapes() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.broadcast_shapes"]], "data (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.data"]], "device (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.device"]], "dtype (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.dtype"]], "inner_shape (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.inner_shape"]], "ivy.data_classes.nested_array.base": [[101, "module-ivy.data_classes.nested_array.base"]], "ndim (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ndim"]], "nested_array() (ivy.data_classes.nested_array.base.nestedarraybase class method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.nested_array"]], "nested_rank (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.nested_rank"]], "ragged_map() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_map"]], "ragged_multi_map() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_multi_map"]], "ragged_multi_map_in_function() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_multi_map_in_function"]], "replace_ivy_arrays() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.replace_ivy_arrays"]], "shape (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.shape"]], "unbind() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.unbind"]], "nestedarrayelementwise (class in ivy.data_classes.nested_array.elementwise)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise"]], "_abc_impl (ivy.data_classes.nested_array.elementwise.nestedarrayelementwise attribute)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise._abc_impl"]], "ivy.data_classes.nested_array.elementwise": [[102, "module-ivy.data_classes.nested_array.elementwise"]], "static_add() (ivy.data_classes.nested_array.elementwise.nestedarrayelementwise static method)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise.static_add"]], "gelu() (in module ivy)": [[105, "ivy.gelu"], [613, "ivy.gelu"]], "gelu() (ivy.array method)": [[105, "ivy.Array.gelu"]], "gelu() (ivy.container method)": [[105, "ivy.Container.gelu"]], "hardswish() (in module ivy)": [[106, "ivy.hardswish"], [613, "ivy.hardswish"]], "hardswish() (ivy.array method)": [[106, "ivy.Array.hardswish"]], "hardswish() (ivy.container method)": [[106, "ivy.Container.hardswish"]], "leaky_relu() (in module ivy)": [[107, "ivy.leaky_relu"], [613, "ivy.leaky_relu"]], "leaky_relu() (ivy.array method)": [[107, "ivy.Array.leaky_relu"]], "leaky_relu() (ivy.container method)": [[107, "ivy.Container.leaky_relu"]], "log_softmax() (in module ivy)": [[108, "ivy.log_softmax"], [613, "ivy.log_softmax"]], "log_softmax() (ivy.array method)": [[108, "ivy.Array.log_softmax"]], "log_softmax() (ivy.container method)": [[108, "ivy.Container.log_softmax"]], "mish() (in module ivy)": [[109, "ivy.mish"], [613, "ivy.mish"]], "mish() (ivy.array method)": [[109, "ivy.Array.mish"]], "mish() (ivy.container method)": [[109, "ivy.Container.mish"]], "relu() (in module ivy)": [[110, "ivy.relu"], [613, "ivy.relu"]], "relu() (ivy.array method)": [[110, "ivy.Array.relu"]], "relu() (ivy.container method)": [[110, "ivy.Container.relu"]], "sigmoid() (in module ivy)": [[111, "ivy.sigmoid"], [613, "ivy.sigmoid"]], "sigmoid() (ivy.array method)": [[111, "ivy.Array.sigmoid"]], "sigmoid() (ivy.container method)": [[111, "ivy.Container.sigmoid"]], "softmax() (in module ivy)": [[112, "ivy.softmax"], [613, "ivy.softmax"]], "softmax() (ivy.array method)": [[112, "ivy.Array.softmax"]], "softmax() (ivy.container method)": [[112, "ivy.Container.softmax"]], "softplus() (in module ivy)": [[113, "ivy.softplus"], [613, "ivy.softplus"]], "softplus() (ivy.array method)": [[113, "ivy.Array.softplus"]], "softplus() (ivy.container method)": [[113, "ivy.Container.softplus"]], "softsign() (in module ivy)": [[114, "ivy.softsign"], [613, "ivy.softsign"]], "cmp_is() (in module ivy)": [[115, "ivy.cmp_is"], [615, "ivy.cmp_is"]], "cmp_isnot() (in module ivy)": [[116, "ivy.cmp_isnot"], [615, "ivy.cmp_isnot"]], "for_loop() (in module ivy)": [[117, "ivy.for_loop"], [615, "ivy.for_loop"]], "if_else() (in module ivy)": [[118, "ivy.if_else"], [615, "ivy.if_else"]], "try_except() (in module ivy)": [[119, "ivy.try_except"], [615, "ivy.try_except"]], "while_loop() (in module ivy)": [[120, "ivy.while_loop"], [615, "ivy.while_loop"]], "arange() (in module ivy)": [[121, "ivy.arange"], [616, "ivy.arange"]], "array() (in module ivy)": [[122, "ivy.array"], [616, "ivy.array"]], "asarray() (in module ivy)": [[123, "ivy.asarray"], [616, "ivy.asarray"]], "asarray() (ivy.array method)": [[123, "ivy.Array.asarray"]], "asarray() (ivy.container method)": [[123, "ivy.Container.asarray"]], "copy_array() (in module ivy)": [[124, "ivy.copy_array"], [616, "ivy.copy_array"]], "copy_array() (ivy.array method)": [[124, "ivy.Array.copy_array"]], "copy_array() (ivy.container method)": [[124, "ivy.Container.copy_array"]], "empty() (in module ivy)": [[125, "ivy.empty"], [616, "ivy.empty"]], "empty_like() (in module ivy)": [[126, "ivy.empty_like"], [616, "ivy.empty_like"]], "empty_like() (ivy.array method)": [[126, "ivy.Array.empty_like"]], "empty_like() (ivy.container method)": [[126, "ivy.Container.empty_like"]], "eye() (in module ivy)": [[127, "ivy.eye"], [616, "ivy.eye"]], "from_dlpack() (in module ivy)": [[128, "ivy.from_dlpack"], [616, "ivy.from_dlpack"]], "from_dlpack() (ivy.array method)": [[128, "ivy.Array.from_dlpack"]], "from_dlpack() (ivy.container method)": [[128, "ivy.Container.from_dlpack"]], "frombuffer() (in module ivy)": [[129, "ivy.frombuffer"], [616, "ivy.frombuffer"]], "frombuffer() (ivy.container method)": [[129, "ivy.Container.frombuffer"]], "full() (in module ivy)": [[130, "ivy.full"], [616, "ivy.full"]], "full_like() (in module ivy)": [[131, "ivy.full_like"], [616, "ivy.full_like"]], "full_like() (ivy.array method)": [[131, "ivy.Array.full_like"]], "full_like() (ivy.container method)": [[131, "ivy.Container.full_like"]], "linspace() (in module ivy)": [[132, "ivy.linspace"], [616, "ivy.linspace"]], "linspace() (ivy.array method)": [[132, "ivy.Array.linspace"]], "linspace() (ivy.container method)": [[132, "ivy.Container.linspace"]], "logspace() (in module ivy)": [[133, "ivy.logspace"], [616, "ivy.logspace"]], "logspace() (ivy.array method)": [[133, "ivy.Array.logspace"]], "logspace() (ivy.container method)": [[133, "ivy.Container.logspace"]], "meshgrid() (in module ivy)": [[134, "ivy.meshgrid"], [616, "ivy.meshgrid"]], "meshgrid() (ivy.array method)": [[134, "ivy.Array.meshgrid"]], "meshgrid() (ivy.container method)": [[134, "ivy.Container.meshgrid"]], "native_array() (in module ivy)": [[135, "ivy.native_array"], [616, "ivy.native_array"]], "native_array() (ivy.array method)": [[135, "ivy.Array.native_array"]], "native_array() (ivy.container method)": [[135, "ivy.Container.native_array"]], "one_hot() (in module ivy)": [[136, "ivy.one_hot"], [616, "ivy.one_hot"]], "one_hot() (ivy.array method)": [[136, "ivy.Array.one_hot"]], "one_hot() (ivy.container method)": [[136, "ivy.Container.one_hot"]], "ones() (in module ivy)": [[137, "ivy.ones"], [616, "ivy.ones"]], "ones_like() (in module ivy)": [[138, "ivy.ones_like"], [616, "ivy.ones_like"]], "ones_like() (ivy.array method)": [[138, "ivy.Array.ones_like"]], "ones_like() (ivy.container method)": [[138, "ivy.Container.ones_like"]], "to_dlpack() (in module ivy)": [[139, "ivy.to_dlpack"], [616, "ivy.to_dlpack"]], "tril() (in module ivy)": [[140, "ivy.tril"], [616, "ivy.tril"]], "tril() (ivy.array method)": [[140, "ivy.Array.tril"]], "tril() (ivy.container method)": [[140, "ivy.Container.tril"]], "triu() (in module ivy)": [[141, "ivy.triu"], [616, "ivy.triu"]], "triu() (ivy.array method)": [[141, "ivy.Array.triu"]], "triu() (ivy.container method)": [[141, "ivy.Container.triu"]], "triu_indices() (in module ivy)": [[142, "ivy.triu_indices"], [616, "ivy.triu_indices"]], "triu_indices() (ivy.container method)": [[142, "ivy.Container.triu_indices"]], "zeros() (in module ivy)": [[143, "ivy.zeros"], [616, "ivy.zeros"]], "zeros_like() (in module ivy)": [[144, "ivy.zeros_like"], [616, "ivy.zeros_like"]], "zeros_like() (ivy.array method)": [[144, "ivy.Array.zeros_like"]], "zeros_like() (ivy.container method)": [[144, "ivy.Container.zeros_like"]], "as_ivy_dtype() (in module ivy)": [[145, "ivy.as_ivy_dtype"], [617, "ivy.as_ivy_dtype"]], "as_native_dtype() (in module ivy)": [[146, "ivy.as_native_dtype"], [617, "ivy.as_native_dtype"]], "astype() (in module ivy)": [[147, "ivy.astype"], [617, "ivy.astype"]], "astype() (ivy.array method)": [[147, "ivy.Array.astype"]], "astype() (ivy.container method)": [[147, "ivy.Container.astype"]], "broadcast_arrays() (in module ivy)": [[148, "ivy.broadcast_arrays"], [617, "ivy.broadcast_arrays"]], "broadcast_arrays() (ivy.array method)": [[148, "ivy.Array.broadcast_arrays"]], "broadcast_arrays() (ivy.container method)": [[148, "ivy.Container.broadcast_arrays"]], "broadcast_to() (in module ivy)": [[149, "ivy.broadcast_to"], [617, "ivy.broadcast_to"]], "broadcast_to() (ivy.array method)": [[149, "ivy.Array.broadcast_to"]], "broadcast_to() (ivy.container method)": [[149, "ivy.Container.broadcast_to"]], "can_cast() (in module ivy)": [[150, "ivy.can_cast"], [617, "ivy.can_cast"]], "can_cast() (ivy.array method)": [[150, "ivy.Array.can_cast"]], "can_cast() (ivy.container method)": [[150, "ivy.Container.can_cast"]], "check_float() (in module ivy)": [[151, "ivy.check_float"], [617, "ivy.check_float"]], "closest_valid_dtype() (in module ivy)": [[152, "ivy.closest_valid_dtype"], [617, "ivy.closest_valid_dtype"]], "default_complex_dtype() (in module ivy)": [[153, "ivy.default_complex_dtype"], [617, "ivy.default_complex_dtype"]], "default_dtype() (in module ivy)": [[154, "ivy.default_dtype"], [617, "ivy.default_dtype"]], "default_float_dtype() (in module ivy)": [[155, "ivy.default_float_dtype"], [617, "ivy.default_float_dtype"]], "default_int_dtype() (in module ivy)": [[156, "ivy.default_int_dtype"], [617, "ivy.default_int_dtype"]], "default_uint_dtype() (in module ivy)": [[157, "ivy.default_uint_dtype"], [617, "ivy.default_uint_dtype"]], "dtype() (in module ivy)": [[158, "ivy.dtype"], [617, "ivy.dtype"]], "dtype() (ivy.array method)": [[158, "ivy.Array.dtype"]], "dtype() (ivy.container method)": [[158, "ivy.Container.dtype"]], "dtype_bits() (in module ivy)": [[159, "ivy.dtype_bits"], [617, "ivy.dtype_bits"]], "finfo() (in module ivy)": [[160, "ivy.finfo"], [617, "ivy.finfo"]], "finfo() (ivy.array method)": [[160, "ivy.Array.finfo"]], "finfo() (ivy.container method)": [[160, "ivy.Container.finfo"]], "function_supported_dtypes() (in module ivy)": [[161, "ivy.function_supported_dtypes"], [617, "ivy.function_supported_dtypes"]], "function_unsupported_dtypes() (in module ivy)": [[162, "ivy.function_unsupported_dtypes"], [617, "ivy.function_unsupported_dtypes"]], "iinfo() (in module ivy)": [[163, "ivy.iinfo"], [617, "ivy.iinfo"]], "iinfo() (ivy.array method)": [[163, "ivy.Array.iinfo"]], "iinfo() (ivy.container method)": [[163, "ivy.Container.iinfo"]], "infer_default_dtype() (in module ivy)": [[164, "ivy.infer_default_dtype"], [617, "ivy.infer_default_dtype"]], "invalid_dtype() (in module ivy)": [[165, "ivy.invalid_dtype"], [617, "ivy.invalid_dtype"]], "is_bool_dtype() (in module ivy)": [[166, "ivy.is_bool_dtype"], [617, "ivy.is_bool_dtype"]], "is_bool_dtype() (ivy.array method)": [[166, "ivy.Array.is_bool_dtype"]], "is_bool_dtype() (ivy.container method)": [[166, "ivy.Container.is_bool_dtype"]], "is_complex_dtype() (in module ivy)": [[167, "ivy.is_complex_dtype"], [617, "ivy.is_complex_dtype"]], "is_complex_dtype() (ivy.container method)": [[167, "ivy.Container.is_complex_dtype"]], "is_float_dtype() (in module ivy)": [[168, "ivy.is_float_dtype"], [617, "ivy.is_float_dtype"]], "is_float_dtype() (ivy.array method)": [[168, "ivy.Array.is_float_dtype"]], "is_float_dtype() (ivy.container method)": [[168, "ivy.Container.is_float_dtype"]], "is_hashable_dtype() (in module ivy)": [[169, "ivy.is_hashable_dtype"], [617, "ivy.is_hashable_dtype"]], "is_int_dtype() (in module ivy)": [[170, "ivy.is_int_dtype"], [617, "ivy.is_int_dtype"]], "is_int_dtype() (ivy.array method)": [[170, "ivy.Array.is_int_dtype"]], "is_int_dtype() (ivy.container method)": [[170, "ivy.Container.is_int_dtype"]], "is_native_dtype() (in module ivy)": [[171, "ivy.is_native_dtype"], [617, "ivy.is_native_dtype"]], "is_uint_dtype() (in module ivy)": [[172, "ivy.is_uint_dtype"], [617, "ivy.is_uint_dtype"]], "is_uint_dtype() (ivy.array method)": [[172, "ivy.Array.is_uint_dtype"]], "is_uint_dtype() (ivy.container method)": [[172, "ivy.Container.is_uint_dtype"]], "promote_types() (in module ivy)": [[173, "ivy.promote_types"], [617, "ivy.promote_types"]], "promote_types_of_inputs() (in module ivy)": [[174, "ivy.promote_types_of_inputs"], [617, "ivy.promote_types_of_inputs"]], "result_type() (in module ivy)": [[175, "ivy.result_type"], [617, "ivy.result_type"]], "result_type() (ivy.array method)": [[175, "ivy.Array.result_type"]], "result_type() (ivy.container method)": [[175, "ivy.Container.result_type"]], "set_default_complex_dtype() (in module ivy)": [[176, "ivy.set_default_complex_dtype"], [617, "ivy.set_default_complex_dtype"]], "set_default_dtype() (in module ivy)": [[177, "ivy.set_default_dtype"], [617, "ivy.set_default_dtype"]], "set_default_float_dtype() (in module ivy)": [[178, "ivy.set_default_float_dtype"], [617, "ivy.set_default_float_dtype"]], "set_default_int_dtype() (in module ivy)": [[179, "ivy.set_default_int_dtype"], [617, "ivy.set_default_int_dtype"]], "set_default_uint_dtype() (in module ivy)": [[180, "ivy.set_default_uint_dtype"], [617, "ivy.set_default_uint_dtype"]], "type_promote_arrays() (in module ivy)": [[181, "ivy.type_promote_arrays"], [617, "ivy.type_promote_arrays"]], "unset_default_complex_dtype() (in module ivy)": [[182, "ivy.unset_default_complex_dtype"], [617, "ivy.unset_default_complex_dtype"]], "unset_default_dtype() (in module ivy)": [[183, "ivy.unset_default_dtype"], [617, "ivy.unset_default_dtype"]], "unset_default_float_dtype() (in module ivy)": [[184, "ivy.unset_default_float_dtype"], [617, "ivy.unset_default_float_dtype"]], "unset_default_int_dtype() (in module ivy)": [[185, "ivy.unset_default_int_dtype"], [617, "ivy.unset_default_int_dtype"]], "unset_default_uint_dtype() (in module ivy)": [[186, "ivy.unset_default_uint_dtype"], [617, "ivy.unset_default_uint_dtype"]], "valid_dtype() (in module ivy)": [[187, "ivy.valid_dtype"], [617, "ivy.valid_dtype"]], "as_ivy_dev() (in module ivy)": [[188, "ivy.as_ivy_dev"], [618, "ivy.as_ivy_dev"]], "as_native_dev() (in module ivy)": [[189, "ivy.as_native_dev"], [618, "ivy.as_native_dev"]], "clear_cached_mem_on_dev() (in module ivy)": [[190, "ivy.clear_cached_mem_on_dev"], [618, "ivy.clear_cached_mem_on_dev"]], "default_device() (in module ivy)": [[191, "ivy.default_device"], [618, "ivy.default_device"]], "dev() (in module ivy)": [[192, "ivy.dev"], [618, "ivy.dev"]], "dev() (ivy.array method)": [[192, "ivy.Array.dev"]], "dev() (ivy.container method)": [[192, "ivy.Container.dev"]], "dev_util() (in module ivy)": [[193, "ivy.dev_util"], [618, "ivy.dev_util"]], "function_supported_devices() (in module ivy)": [[194, "ivy.function_supported_devices"], [618, "ivy.function_supported_devices"]], "function_unsupported_devices() (in module ivy)": [[195, "ivy.function_unsupported_devices"], [618, "ivy.function_unsupported_devices"]], "get_all_ivy_arrays_on_dev() (in module ivy)": [[196, "ivy.get_all_ivy_arrays_on_dev"], [618, "ivy.get_all_ivy_arrays_on_dev"]], "gpu_is_available() (in module ivy)": [[197, "ivy.gpu_is_available"], [618, "ivy.gpu_is_available"]], "handle_soft_device_variable() (in module ivy)": [[198, "ivy.handle_soft_device_variable"], [618, "ivy.handle_soft_device_variable"]], "num_cpu_cores() (in module ivy)": [[199, "ivy.num_cpu_cores"], [618, "ivy.num_cpu_cores"]], "num_gpus() (in module ivy)": [[200, "ivy.num_gpus"], [618, "ivy.num_gpus"]], "num_ivy_arrays_on_dev() (in module ivy)": [[201, "ivy.num_ivy_arrays_on_dev"], [618, "ivy.num_ivy_arrays_on_dev"]], "percent_used_mem_on_dev() (in module ivy)": [[202, "ivy.percent_used_mem_on_dev"], [618, "ivy.percent_used_mem_on_dev"]], "print_all_ivy_arrays_on_dev() (in module ivy)": [[203, "ivy.print_all_ivy_arrays_on_dev"], [618, "ivy.print_all_ivy_arrays_on_dev"]], "set_default_device() (in module ivy)": [[204, "ivy.set_default_device"], [618, "ivy.set_default_device"]], "set_soft_device_mode() (in module ivy)": [[205, "ivy.set_soft_device_mode"], [618, "ivy.set_soft_device_mode"]], "set_split_factor() (in module ivy)": [[206, "ivy.set_split_factor"], [618, "ivy.set_split_factor"]], "split_factor() (in module ivy)": [[207, "ivy.split_factor"], [618, "ivy.split_factor"]], "split_func_call() (in module ivy)": [[208, "ivy.split_func_call"], [618, "ivy.split_func_call"]], "to_device() (in module ivy)": [[209, "ivy.to_device"], [618, "ivy.to_device"]], "to_device() (ivy.array method)": [[209, "ivy.Array.to_device"]], "to_device() (ivy.container method)": [[209, "ivy.Container.to_device"]], "total_mem_on_dev() (in module ivy)": [[210, "ivy.total_mem_on_dev"], [618, "ivy.total_mem_on_dev"]], "tpu_is_available() (in module ivy)": [[211, "ivy.tpu_is_available"], [618, "ivy.tpu_is_available"]], "unset_default_device() (in module ivy)": [[212, "ivy.unset_default_device"], [618, "ivy.unset_default_device"]], "unset_soft_device_mode() (in module ivy)": [[213, "ivy.unset_soft_device_mode"], [618, "ivy.unset_soft_device_mode"]], "used_mem_on_dev() (in module ivy)": [[214, "ivy.used_mem_on_dev"], [618, "ivy.used_mem_on_dev"]], "abs() (in module ivy)": [[215, "ivy.abs"], [619, "ivy.abs"]], "abs() (ivy.array method)": [[215, "ivy.Array.abs"]], "abs() (ivy.container method)": [[215, "ivy.Container.abs"]], "acos() (in module ivy)": [[216, "ivy.acos"], [619, "ivy.acos"]], "acos() (ivy.array method)": [[216, "ivy.Array.acos"]], "acos() (ivy.container method)": [[216, "ivy.Container.acos"]], "acosh() (in module ivy)": [[217, "ivy.acosh"], [619, "ivy.acosh"]], "acosh() (ivy.array method)": [[217, "ivy.Array.acosh"]], "acosh() (ivy.container method)": [[217, "ivy.Container.acosh"]], "add() (in module ivy)": [[218, "ivy.add"], [619, "ivy.add"]], "add() (ivy.array method)": [[218, "ivy.Array.add"]], "add() (ivy.container method)": [[218, "ivy.Container.add"]], "angle() (in module ivy)": [[219, "ivy.angle"], [619, "ivy.angle"]], "angle() (ivy.array method)": [[219, "ivy.Array.angle"]], "angle() (ivy.container method)": [[219, "ivy.Container.angle"]], "asin() (in module ivy)": [[220, "ivy.asin"], [619, "ivy.asin"]], "asin() (ivy.array method)": [[220, "ivy.Array.asin"]], "asin() (ivy.container method)": [[220, "ivy.Container.asin"]], "asinh() (in module ivy)": [[221, "ivy.asinh"], [619, "ivy.asinh"]], "asinh() (ivy.array method)": [[221, "ivy.Array.asinh"]], "asinh() (ivy.container method)": [[221, "ivy.Container.asinh"]], "atan() (in module ivy)": [[222, "ivy.atan"], [619, "ivy.atan"]], "atan() (ivy.array method)": [[222, "ivy.Array.atan"]], "atan() (ivy.container method)": [[222, "ivy.Container.atan"]], "atan2() (in module ivy)": [[223, "ivy.atan2"], [619, "ivy.atan2"]], "atan2() (ivy.array method)": [[223, "ivy.Array.atan2"]], "atan2() (ivy.container method)": [[223, "ivy.Container.atan2"]], "atanh() (in module ivy)": [[224, "ivy.atanh"], [619, "ivy.atanh"]], "atanh() (ivy.array method)": [[224, "ivy.Array.atanh"]], "atanh() (ivy.container method)": [[224, "ivy.Container.atanh"]], "bitwise_and() (in module ivy)": [[225, "ivy.bitwise_and"], [619, "ivy.bitwise_and"]], "bitwise_and() (ivy.array method)": [[225, "ivy.Array.bitwise_and"]], "bitwise_and() (ivy.container method)": [[225, "ivy.Container.bitwise_and"]], "bitwise_invert() (in module ivy)": [[226, "ivy.bitwise_invert"], [619, "ivy.bitwise_invert"]], "bitwise_invert() (ivy.array method)": [[226, "ivy.Array.bitwise_invert"]], "bitwise_invert() (ivy.container method)": [[226, "ivy.Container.bitwise_invert"]], "bitwise_left_shift() (in module ivy)": [[227, "ivy.bitwise_left_shift"], [619, "ivy.bitwise_left_shift"]], "bitwise_left_shift() (ivy.array method)": [[227, "ivy.Array.bitwise_left_shift"]], "bitwise_left_shift() (ivy.container method)": [[227, "ivy.Container.bitwise_left_shift"]], "bitwise_or() (in module ivy)": [[228, "ivy.bitwise_or"], [619, "ivy.bitwise_or"]], "bitwise_or() (ivy.array method)": [[228, "ivy.Array.bitwise_or"]], "bitwise_or() (ivy.container method)": [[228, "ivy.Container.bitwise_or"]], "bitwise_right_shift() (in module ivy)": [[229, "ivy.bitwise_right_shift"], [619, "ivy.bitwise_right_shift"]], "bitwise_right_shift() (ivy.array method)": [[229, "ivy.Array.bitwise_right_shift"]], "bitwise_right_shift() (ivy.container method)": [[229, "ivy.Container.bitwise_right_shift"]], "bitwise_xor() (in module ivy)": [[230, "ivy.bitwise_xor"], [619, "ivy.bitwise_xor"]], "bitwise_xor() (ivy.array method)": [[230, "ivy.Array.bitwise_xor"]], "bitwise_xor() (ivy.container method)": [[230, "ivy.Container.bitwise_xor"]], "ceil() (in module ivy)": [[231, "ivy.ceil"], [619, "ivy.ceil"]], "ceil() (ivy.array method)": [[231, "ivy.Array.ceil"]], "ceil() (ivy.container method)": [[231, "ivy.Container.ceil"]], "cos() (in module ivy)": [[232, "ivy.cos"], [619, "ivy.cos"]], "cos() (ivy.array method)": [[232, "ivy.Array.cos"]], "cos() (ivy.container method)": [[232, "ivy.Container.cos"]], "cosh() (in module ivy)": [[233, "ivy.cosh"], [619, "ivy.cosh"]], "cosh() (ivy.array method)": [[233, "ivy.Array.cosh"]], "cosh() (ivy.container method)": [[233, "ivy.Container.cosh"]], "deg2rad() (in module ivy)": [[234, "ivy.deg2rad"], [619, "ivy.deg2rad"]], "deg2rad() (ivy.array method)": [[234, "ivy.Array.deg2rad"]], "deg2rad() (ivy.container method)": [[234, "ivy.Container.deg2rad"]], "divide() (in module ivy)": [[235, "ivy.divide"], [619, "ivy.divide"]], "divide() (ivy.array method)": [[235, "ivy.Array.divide"]], "divide() (ivy.container method)": [[235, "ivy.Container.divide"]], "equal() (in module ivy)": [[236, "ivy.equal"], [619, "ivy.equal"]], "equal() (ivy.array method)": [[236, "ivy.Array.equal"]], "equal() (ivy.container method)": [[236, "ivy.Container.equal"]], "erf() (in module ivy)": [[237, "ivy.erf"], [619, "ivy.erf"]], "erf() (ivy.array method)": [[237, "ivy.Array.erf"]], "erf() (ivy.container method)": [[237, "ivy.Container.erf"]], "exp() (in module ivy)": [[238, "ivy.exp"], [619, "ivy.exp"]], "exp() (ivy.array method)": [[238, "ivy.Array.exp"]], "exp() (ivy.container method)": [[238, "ivy.Container.exp"]], "exp2() (in module ivy)": [[239, "ivy.exp2"], [619, "ivy.exp2"]], "exp2() (ivy.array method)": [[239, "ivy.Array.exp2"]], "exp2() (ivy.container method)": [[239, "ivy.Container.exp2"]], "expm1() (in module ivy)": [[240, "ivy.expm1"], [619, "ivy.expm1"]], "expm1() (ivy.array method)": [[240, "ivy.Array.expm1"]], "expm1() (ivy.container method)": [[240, "ivy.Container.expm1"]], "floor() (in module ivy)": [[241, "ivy.floor"], [619, "ivy.floor"]], "floor() (ivy.array method)": [[241, "ivy.Array.floor"]], "floor() (ivy.container method)": [[241, "ivy.Container.floor"]], "floor_divide() (in module ivy)": [[242, "ivy.floor_divide"], [619, "ivy.floor_divide"]], "floor_divide() (ivy.array method)": [[242, "ivy.Array.floor_divide"]], "floor_divide() (ivy.container method)": [[242, "ivy.Container.floor_divide"]], "fmin() (in module ivy)": [[243, "ivy.fmin"], [619, "ivy.fmin"]], "fmin() (ivy.array method)": [[243, "ivy.Array.fmin"]], "fmin() (ivy.container method)": [[243, "ivy.Container.fmin"]], "fmod() (in module ivy)": [[244, "ivy.fmod"], [619, "ivy.fmod"]], "fmod() (ivy.array method)": [[244, "ivy.Array.fmod"]], "fmod() (ivy.container method)": [[244, "ivy.Container.fmod"]], "gcd() (in module ivy)": [[245, "ivy.gcd"], [619, "ivy.gcd"]], "gcd() (ivy.array method)": [[245, "ivy.Array.gcd"]], "gcd() (ivy.container method)": [[245, "ivy.Container.gcd"]], "greater() (in module ivy)": [[246, "ivy.greater"], [619, "ivy.greater"]], "greater() (ivy.array method)": [[246, "ivy.Array.greater"]], "greater() (ivy.container method)": [[246, "ivy.Container.greater"]], "greater_equal() (in module ivy)": [[247, "ivy.greater_equal"], [619, "ivy.greater_equal"]], "greater_equal() (ivy.array method)": [[247, "ivy.Array.greater_equal"]], "greater_equal() (ivy.container method)": [[247, "ivy.Container.greater_equal"]], "imag() (in module ivy)": [[248, "ivy.imag"], [619, "ivy.imag"]], "imag() (ivy.array method)": [[248, "ivy.Array.imag"]], "imag() (ivy.container method)": [[248, "ivy.Container.imag"]], "isfinite() (in module ivy)": [[249, "ivy.isfinite"], [619, "ivy.isfinite"]], "isfinite() (ivy.array method)": [[249, "ivy.Array.isfinite"]], "isfinite() (ivy.container method)": [[249, "ivy.Container.isfinite"]], "isinf() (in module ivy)": [[250, "ivy.isinf"], [619, "ivy.isinf"]], "isinf() (ivy.array method)": [[250, "ivy.Array.isinf"]], "isinf() (ivy.container method)": [[250, "ivy.Container.isinf"]], "isnan() (in module ivy)": [[251, "ivy.isnan"], [619, "ivy.isnan"]], "isnan() (ivy.array method)": [[251, "ivy.Array.isnan"]], "isnan() (ivy.container method)": [[251, "ivy.Container.isnan"]], "isreal() (in module ivy)": [[252, "ivy.isreal"], [619, "ivy.isreal"]], "isreal() (ivy.array method)": [[252, "ivy.Array.isreal"]], "isreal() (ivy.container method)": [[252, "ivy.Container.isreal"]], "lcm() (in module ivy)": [[253, "ivy.lcm"], [619, "ivy.lcm"]], "lcm() (ivy.array method)": [[253, "ivy.Array.lcm"]], "lcm() (ivy.container method)": [[253, "ivy.Container.lcm"]], "less() (in module ivy)": [[254, "ivy.less"], [619, "ivy.less"]], "less() (ivy.array method)": [[254, "ivy.Array.less"]], "less() (ivy.container method)": [[254, "ivy.Container.less"]], "less_equal() (in module ivy)": [[255, "ivy.less_equal"], [619, "ivy.less_equal"]], "less_equal() (ivy.array method)": [[255, "ivy.Array.less_equal"]], "less_equal() (ivy.container method)": [[255, "ivy.Container.less_equal"]], "log() (in module ivy)": [[256, "ivy.log"], [619, "ivy.log"]], "log() (ivy.array method)": [[256, "ivy.Array.log"]], "log() (ivy.container method)": [[256, "ivy.Container.log"]], "log10() (in module ivy)": [[257, "ivy.log10"], [619, "ivy.log10"]], "log10() (ivy.array method)": [[257, "ivy.Array.log10"]], "log10() (ivy.container method)": [[257, "ivy.Container.log10"]], "log1p() (in module ivy)": [[258, "ivy.log1p"], [619, "ivy.log1p"]], "log1p() (ivy.array method)": [[258, "ivy.Array.log1p"]], "log1p() (ivy.container method)": [[258, "ivy.Container.log1p"]], "log2() (in module ivy)": [[259, "ivy.log2"], [619, "ivy.log2"]], "log2() (ivy.array method)": [[259, "ivy.Array.log2"]], "log2() (ivy.container method)": [[259, "ivy.Container.log2"]], "logaddexp() (in module ivy)": [[260, "ivy.logaddexp"], [619, "ivy.logaddexp"]], "logaddexp() (ivy.array method)": [[260, "ivy.Array.logaddexp"]], "logaddexp() (ivy.container method)": [[260, "ivy.Container.logaddexp"]], "logaddexp2() (in module ivy)": [[261, "ivy.logaddexp2"], [619, "ivy.logaddexp2"]], "logaddexp2() (ivy.array method)": [[261, "ivy.Array.logaddexp2"]], "logaddexp2() (ivy.container method)": [[261, "ivy.Container.logaddexp2"]], "logical_and() (in module ivy)": [[262, "ivy.logical_and"], [619, "ivy.logical_and"]], "logical_and() (ivy.array method)": [[262, "ivy.Array.logical_and"]], "logical_and() (ivy.container method)": [[262, "ivy.Container.logical_and"]], "logical_not() (in module ivy)": [[263, "ivy.logical_not"], [619, "ivy.logical_not"]], "logical_not() (ivy.array method)": [[263, "ivy.Array.logical_not"]], "logical_not() (ivy.container method)": [[263, "ivy.Container.logical_not"]], "logical_or() (in module ivy)": [[264, "ivy.logical_or"], [619, "ivy.logical_or"]], "logical_or() (ivy.array method)": [[264, "ivy.Array.logical_or"]], "logical_or() (ivy.container method)": [[264, "ivy.Container.logical_or"]], "logical_xor() (in module ivy)": [[265, "ivy.logical_xor"], [619, "ivy.logical_xor"]], "logical_xor() (ivy.array method)": [[265, "ivy.Array.logical_xor"]], "logical_xor() (ivy.container method)": [[265, "ivy.Container.logical_xor"]], "maximum() (in module ivy)": [[266, "ivy.maximum"], [619, "ivy.maximum"]], "maximum() (ivy.array method)": [[266, "ivy.Array.maximum"]], "maximum() (ivy.container method)": [[266, "ivy.Container.maximum"]], "minimum() (in module ivy)": [[267, "ivy.minimum"], [619, "ivy.minimum"]], "minimum() (ivy.array method)": [[267, "ivy.Array.minimum"]], "minimum() (ivy.container method)": [[267, "ivy.Container.minimum"]], "multiply() (in module ivy)": [[268, "ivy.multiply"], [619, "ivy.multiply"]], "multiply() (ivy.array method)": [[268, "ivy.Array.multiply"]], "multiply() (ivy.container method)": [[268, "ivy.Container.multiply"]], "nan_to_num() (in module ivy)": [[269, "ivy.nan_to_num"], [619, "ivy.nan_to_num"]], "nan_to_num() (ivy.array method)": [[269, "ivy.Array.nan_to_num"]], "nan_to_num() (ivy.container method)": [[269, "ivy.Container.nan_to_num"]], "negative() (in module ivy)": [[270, "ivy.negative"], [619, "ivy.negative"]], "negative() (ivy.array method)": [[270, "ivy.Array.negative"]], "negative() (ivy.container method)": [[270, "ivy.Container.negative"]], "not_equal() (in module ivy)": [[271, "ivy.not_equal"], [619, "ivy.not_equal"]], "not_equal() (ivy.array method)": [[271, "ivy.Array.not_equal"]], "not_equal() (ivy.container method)": [[271, "ivy.Container.not_equal"]], "positive() (in module ivy)": [[272, "ivy.positive"], [619, "ivy.positive"]], "positive() (ivy.array method)": [[272, "ivy.Array.positive"]], "positive() (ivy.container method)": [[272, "ivy.Container.positive"]], "pow() (in module ivy)": [[273, "ivy.pow"], [619, "ivy.pow"]], "pow() (ivy.array method)": [[273, "ivy.Array.pow"]], "pow() (ivy.container method)": [[273, "ivy.Container.pow"]], "rad2deg() (in module ivy)": [[274, "ivy.rad2deg"], [619, "ivy.rad2deg"]], "rad2deg() (ivy.array method)": [[274, "ivy.Array.rad2deg"]], "rad2deg() (ivy.container method)": [[274, "ivy.Container.rad2deg"]], "real() (in module ivy)": [[275, "ivy.real"], [619, "ivy.real"]], "real() (ivy.array method)": [[275, "ivy.Array.real"]], "real() (ivy.container method)": [[275, "ivy.Container.real"]], "reciprocal() (in module ivy)": [[276, "ivy.reciprocal"], [619, "ivy.reciprocal"]], "reciprocal() (ivy.array method)": [[276, "ivy.Array.reciprocal"]], "reciprocal() (ivy.container method)": [[276, "ivy.Container.reciprocal"]], "remainder() (in module ivy)": [[277, "ivy.remainder"], [619, "ivy.remainder"]], "remainder() (ivy.array method)": [[277, "ivy.Array.remainder"]], "remainder() (ivy.container method)": [[277, "ivy.Container.remainder"]], "round() (in module ivy)": [[278, "ivy.round"], [619, "ivy.round"]], "round() (ivy.array method)": [[278, "ivy.Array.round"]], "round() (ivy.container method)": [[278, "ivy.Container.round"]], "sign() (in module ivy)": [[279, "ivy.sign"], [619, "ivy.sign"]], "sign() (ivy.array method)": [[279, "ivy.Array.sign"]], "sign() (ivy.container method)": [[279, "ivy.Container.sign"]], "sin() (in module ivy)": [[280, "ivy.sin"], [619, "ivy.sin"]], "sin() (ivy.array method)": [[280, "ivy.Array.sin"]], "sin() (ivy.container method)": [[280, "ivy.Container.sin"]], "sinh() (in module ivy)": [[281, "ivy.sinh"], [619, "ivy.sinh"]], "sinh() (ivy.array method)": [[281, "ivy.Array.sinh"]], "sinh() (ivy.container method)": [[281, "ivy.Container.sinh"]], "sqrt() (in module ivy)": [[282, "ivy.sqrt"], [619, "ivy.sqrt"]], "sqrt() (ivy.array method)": [[282, "ivy.Array.sqrt"]], "sqrt() (ivy.container method)": [[282, "ivy.Container.sqrt"]], "square() (in module ivy)": [[283, "ivy.square"], [619, "ivy.square"]], "square() (ivy.array method)": [[283, "ivy.Array.square"]], "square() (ivy.container method)": [[283, "ivy.Container.square"]], "subtract() (in module ivy)": [[284, "ivy.subtract"], [619, "ivy.subtract"]], "subtract() (ivy.array method)": [[284, "ivy.Array.subtract"]], "subtract() (ivy.container method)": [[284, "ivy.Container.subtract"]], "tan() (in module ivy)": [[285, "ivy.tan"], [619, "ivy.tan"]], "tan() (ivy.array method)": [[285, "ivy.Array.tan"]], "tan() (ivy.container method)": [[285, "ivy.Container.tan"]], "tanh() (in module ivy)": [[286, "ivy.tanh"], [619, "ivy.tanh"]], "tanh() (ivy.array method)": [[286, "ivy.Array.tanh"]], "tanh() (ivy.container method)": [[286, "ivy.Container.tanh"]], "trapz() (in module ivy)": [[287, "ivy.trapz"], [619, "ivy.trapz"]], "trapz() (ivy.array method)": [[287, "ivy.Array.trapz"]], "trapz() (ivy.container method)": [[287, "ivy.Container.trapz"]], "trunc() (in module ivy)": [[288, "ivy.trunc"], [619, "ivy.trunc"]], "trunc() (ivy.array method)": [[288, "ivy.Array.trunc"]], "trunc() (ivy.container method)": [[288, "ivy.Container.trunc"]], "trunc_divide() (in module ivy)": [[289, "ivy.trunc_divide"], [619, "ivy.trunc_divide"]], "trunc_divide() (ivy.array method)": [[289, "ivy.Array.trunc_divide"]], "trunc_divide() (ivy.container method)": [[289, "ivy.Container.trunc_divide"]], "celu() (in module ivy)": [[290, "ivy.celu"], [360, "ivy.celu"]], "celu() (ivy.array method)": [[290, "ivy.Array.celu"]], "celu() (ivy.container method)": [[290, "ivy.Container.celu"]], "elu() (in module ivy)": [[291, "ivy.elu"], [360, "ivy.elu"]], "elu() (ivy.array method)": [[291, "ivy.Array.elu"]], "elu() (ivy.container method)": [[291, "ivy.Container.elu"]], "hardshrink() (in module ivy)": [[292, "ivy.hardshrink"], [360, "ivy.hardshrink"]], "hardshrink() (ivy.array method)": [[292, "ivy.Array.hardshrink"]], "hardshrink() (ivy.container method)": [[292, "ivy.Container.hardshrink"]], "hardtanh() (in module ivy)": [[293, "ivy.hardtanh"], [360, "ivy.hardtanh"]], "hardtanh() (ivy.array method)": [[293, "ivy.Array.hardtanh"]], "hardtanh() (ivy.container method)": [[293, "ivy.Container.hardtanh"]], "logit() (in module ivy)": [[294, "ivy.logit"], [360, "ivy.logit"]], "logit() (ivy.array method)": [[294, "ivy.Array.logit"]], "logit() (ivy.container method)": [[294, "ivy.Container.logit"]], "logsigmoid() (in module ivy)": [[295, "ivy.logsigmoid"], [360, "ivy.logsigmoid"]], "logsigmoid() (ivy.array method)": [[295, "ivy.Array.logsigmoid"]], "logsigmoid() (ivy.container method)": [[295, "ivy.Container.logsigmoid"]], "prelu() (in module ivy)": [[296, "ivy.prelu"], [360, "ivy.prelu"]], "prelu() (ivy.array method)": [[296, "ivy.Array.prelu"]], "prelu() (ivy.container method)": [[296, "ivy.Container.prelu"]], "relu6() (in module ivy)": [[297, "ivy.relu6"], [360, "ivy.relu6"]], "relu6() (ivy.array method)": [[297, "ivy.Array.relu6"]], "relu6() (ivy.container method)": [[297, "ivy.Container.relu6"]], "scaled_tanh() (in module ivy)": [[298, "ivy.scaled_tanh"], [360, "ivy.scaled_tanh"]], "scaled_tanh() (ivy.array method)": [[298, "ivy.Array.scaled_tanh"]], "scaled_tanh() (ivy.container method)": [[298, "ivy.Container.scaled_tanh"]], "selu() (in module ivy)": [[299, "ivy.selu"], [360, "ivy.selu"]], "selu() (ivy.array method)": [[299, "ivy.Array.selu"]], "selu() (ivy.container method)": [[299, "ivy.Container.selu"]], "silu() (in module ivy)": [[300, "ivy.silu"], [360, "ivy.silu"]], "silu() (ivy.array method)": [[300, "ivy.Array.silu"]], "silu() (ivy.container method)": [[300, "ivy.Container.silu"]], "softshrink() (in module ivy)": [[301, "ivy.softshrink"], [360, "ivy.softshrink"]], "softshrink() (ivy.array method)": [[301, "ivy.Array.softshrink"]], "softshrink() (ivy.container method)": [[301, "ivy.Container.softshrink"]], "stanh() (in module ivy)": [[302, "ivy.stanh"], [360, "ivy.stanh"]], "tanhshrink() (in module ivy)": [[303, "ivy.tanhshrink"], [360, "ivy.tanhshrink"]], "tanhshrink() (ivy.array method)": [[303, "ivy.Array.tanhshrink"]], "tanhshrink() (ivy.container method)": [[303, "ivy.Container.tanhshrink"]], "threshold() (in module ivy)": [[304, "ivy.threshold"], [360, "ivy.threshold"]], "threshold() (ivy.array method)": [[304, "ivy.Array.threshold"]], "threshold() (ivy.container method)": [[304, "ivy.Container.threshold"]], "thresholded_relu() (in module ivy)": [[305, "ivy.thresholded_relu"], [360, "ivy.thresholded_relu"]], "thresholded_relu() (ivy.array method)": [[305, "ivy.Array.thresholded_relu"]], "thresholded_relu() (ivy.container method)": [[305, "ivy.Container.thresholded_relu"]], "blackman_window() (in module ivy)": [[306, "ivy.blackman_window"], [362, "ivy.blackman_window"]], "blackman_window() (ivy.array method)": [[306, "ivy.Array.blackman_window"]], "blackman_window() (ivy.container method)": [[306, "ivy.Container.blackman_window"]], "eye_like() (in module ivy)": [[307, "ivy.eye_like"], [362, "ivy.eye_like"]], "eye_like() (ivy.array method)": [[307, "ivy.Array.eye_like"]], "eye_like() (ivy.container method)": [[307, "ivy.Container.eye_like"]], "hamming_window() (in module ivy)": [[308, "ivy.hamming_window"], [362, "ivy.hamming_window"]], "hamming_window() (ivy.container method)": [[308, "ivy.Container.hamming_window"]], "hann_window() (in module ivy)": [[309, "ivy.hann_window"], [362, "ivy.hann_window"]], "hann_window() (ivy.container method)": [[309, "ivy.Container.hann_window"]], "indices() (in module ivy)": [[310, "ivy.indices"], [362, "ivy.indices"]], "kaiser_bessel_derived_window() (in module ivy)": [[311, "ivy.kaiser_bessel_derived_window"], [362, "ivy.kaiser_bessel_derived_window"]], "kaiser_bessel_derived_window() (ivy.container method)": [[311, "ivy.Container.kaiser_bessel_derived_window"]], "kaiser_window() (in module ivy)": [[312, "ivy.kaiser_window"], [362, "ivy.kaiser_window"]], "kaiser_window() (ivy.container method)": [[312, "ivy.Container.kaiser_window"]], "mel_weight_matrix() (in module ivy)": [[313, "ivy.mel_weight_matrix"], [362, "ivy.mel_weight_matrix"]], "mel_weight_matrix() (ivy.array static method)": [[313, "ivy.Array.mel_weight_matrix"]], "mel_weight_matrix() (ivy.container method)": [[313, "ivy.Container.mel_weight_matrix"]], "ndenumerate() (in module ivy)": [[314, "ivy.ndenumerate"], [362, "ivy.ndenumerate"]], "ndindex() (in module ivy)": [[315, "ivy.ndindex"], [362, "ivy.ndindex"]], "polyval() (in module ivy)": [[316, "ivy.polyval"], [362, "ivy.polyval"]], "polyval() (ivy.container method)": [[316, "ivy.Container.polyval"]], "random_cp() (in module ivy)": [[317, "ivy.random_cp"], [362, "ivy.random_cp"]], "random_parafac2() (in module ivy)": [[318, "ivy.random_parafac2"], [362, "ivy.random_parafac2"]], "random_tr() (in module ivy)": [[319, "ivy.random_tr"], [362, "ivy.random_tr"]], "random_tt() (in module ivy)": [[320, "ivy.random_tt"], [362, "ivy.random_tt"]], "random_tucker() (in module ivy)": [[321, "ivy.random_tucker"], [362, "ivy.random_tucker"]], "tril_indices() (in module ivy)": [[322, "ivy.tril_indices"], [362, "ivy.tril_indices"]], "tril_indices() (ivy.container method)": [[322, "ivy.Container.tril_indices"]], "trilu() (in module ivy)": [[323, "ivy.trilu"], [362, "ivy.trilu"]], "trilu() (ivy.array method)": [[323, "ivy.Array.trilu"]], "trilu() (ivy.container method)": [[323, "ivy.Container.trilu"]], "unsorted_segment_mean() (in module ivy)": [[324, "ivy.unsorted_segment_mean"], [362, "ivy.unsorted_segment_mean"]], "unsorted_segment_mean() (ivy.array method)": [[324, "ivy.Array.unsorted_segment_mean"]], "unsorted_segment_mean() (ivy.container method)": [[324, "ivy.Container.unsorted_segment_mean"]], "unsorted_segment_min() (in module ivy)": [[325, "ivy.unsorted_segment_min"], [362, "ivy.unsorted_segment_min"]], "unsorted_segment_min() (ivy.array method)": [[325, "ivy.Array.unsorted_segment_min"]], "unsorted_segment_min() (ivy.container method)": [[325, "ivy.Container.unsorted_segment_min"]], "unsorted_segment_sum() (in module ivy)": [[326, "ivy.unsorted_segment_sum"], [362, "ivy.unsorted_segment_sum"]], "unsorted_segment_sum() (ivy.array method)": [[326, "ivy.Array.unsorted_segment_sum"]], "unsorted_segment_sum() (ivy.container method)": [[326, "ivy.Container.unsorted_segment_sum"]], "vorbis_window() (in module ivy)": [[327, "ivy.vorbis_window"], [362, "ivy.vorbis_window"]], "vorbis_window() (ivy.container method)": [[327, "ivy.Container.vorbis_window"]], "allclose() (in module ivy)": [[328, "ivy.allclose"], [365, "ivy.allclose"]], "allclose() (ivy.array method)": [[328, "ivy.Array.allclose"]], "allclose() (ivy.container method)": [[328, "ivy.Container.allclose"]], "amax() (in module ivy)": [[329, "ivy.amax"], [365, "ivy.amax"]], "amax() (ivy.array method)": [[329, "ivy.Array.amax"]], "amax() (ivy.container method)": [[329, "ivy.Container.amax"]], "amin() (in module ivy)": [[330, "ivy.amin"], [365, "ivy.amin"]], "amin() (ivy.array method)": [[330, "ivy.Array.amin"]], "amin() (ivy.container method)": [[330, "ivy.Container.amin"]], "binarizer() (in module ivy)": [[331, "ivy.binarizer"], [365, "ivy.binarizer"]], "binarizer() (ivy.array method)": [[331, "ivy.Array.binarizer"]], "binarizer() (ivy.container method)": [[331, "ivy.Container.binarizer"]], "conj() (in module ivy)": [[332, "ivy.conj"], [365, "ivy.conj"]], "conj() (ivy.array method)": [[332, "ivy.Array.conj"]], "conj() (ivy.container method)": [[332, "ivy.Container.conj"]], "copysign() (in module ivy)": [[333, "ivy.copysign"], [365, "ivy.copysign"]], "copysign() (ivy.array method)": [[333, "ivy.Array.copysign"]], "copysign() (ivy.container method)": [[333, "ivy.Container.copysign"]], "count_nonzero() (in module ivy)": [[334, "ivy.count_nonzero"], [365, "ivy.count_nonzero"]], "count_nonzero() (ivy.array method)": [[334, "ivy.Array.count_nonzero"]], "count_nonzero() (ivy.container method)": [[334, "ivy.Container.count_nonzero"]], "diff() (in module ivy)": [[335, "ivy.diff"], [365, "ivy.diff"]], "diff() (ivy.array method)": [[335, "ivy.Array.diff"]], "diff() (ivy.container method)": [[335, "ivy.Container.diff"]], "digamma() (in module ivy)": [[336, "ivy.digamma"], [365, "ivy.digamma"]], "digamma() (ivy.array method)": [[336, "ivy.Array.digamma"]], "digamma() (ivy.container method)": [[336, "ivy.Container.digamma"]], "erfc() (in module ivy)": [[337, "ivy.erfc"], [365, "ivy.erfc"]], "erfc() (ivy.array method)": [[337, "ivy.Array.erfc"]], "erfc() (ivy.container method)": [[337, "ivy.Container.erfc"]], "fix() (in module ivy)": [[338, "ivy.fix"], [365, "ivy.fix"]], "fix() (ivy.array method)": [[338, "ivy.Array.fix"]], "fix() (ivy.container method)": [[338, "ivy.Container.fix"]], "float_power() (in module ivy)": [[339, "ivy.float_power"], [365, "ivy.float_power"]], "float_power() (ivy.array method)": [[339, "ivy.Array.float_power"]], "float_power() (ivy.container method)": [[339, "ivy.Container.float_power"]], "fmax() (in module ivy)": [[340, "ivy.fmax"], [365, "ivy.fmax"]], "fmax() (ivy.array method)": [[340, "ivy.Array.fmax"]], "fmax() (ivy.container method)": [[340, "ivy.Container.fmax"]], "frexp() (in module ivy)": [[341, "ivy.frexp"], [365, "ivy.frexp"]], "frexp() (ivy.array method)": [[341, "ivy.Array.frexp"]], "frexp() (ivy.container method)": [[341, "ivy.Container.frexp"]], "gradient() (in module ivy)": [[342, "ivy.gradient"], [365, "ivy.gradient"]], "gradient() (ivy.array method)": [[342, "ivy.Array.gradient"]], "gradient() (ivy.container method)": [[342, "ivy.Container.gradient"]], "hypot() (in module ivy)": [[343, "ivy.hypot"], [365, "ivy.hypot"]], "hypot() (ivy.array method)": [[343, "ivy.Array.hypot"]], "hypot() (ivy.container method)": [[343, "ivy.Container.hypot"]], "isclose() (in module ivy)": [[344, "ivy.isclose"], [365, "ivy.isclose"]], "isclose() (ivy.array method)": [[344, "ivy.Array.isclose"]], "isclose() (ivy.container method)": [[344, "ivy.Container.isclose"]], "ldexp() (in module ivy)": [[345, "ivy.ldexp"], [365, "ivy.ldexp"]], "ldexp() (ivy.array method)": [[345, "ivy.Array.ldexp"]], "ldexp() (ivy.container method)": [[345, "ivy.Container.ldexp"]], "lerp() (in module ivy)": [[346, "ivy.lerp"], [365, "ivy.lerp"]], "lerp() (ivy.array method)": [[346, "ivy.Array.lerp"]], "lerp() (ivy.container method)": [[346, "ivy.Container.lerp"]], "lgamma() (in module ivy)": [[347, "ivy.lgamma"], [365, "ivy.lgamma"]], "lgamma() (ivy.array method)": [[347, "ivy.Array.lgamma"]], "modf() (in module ivy)": [[348, "ivy.modf"], [365, "ivy.modf"]], "modf() (ivy.array method)": [[348, "ivy.Array.modf"]], "modf() (ivy.container method)": [[348, "ivy.Container.modf"]], "nansum() (in module ivy)": [[349, "ivy.nansum"], [365, "ivy.nansum"]], "nansum() (ivy.array method)": [[349, "ivy.Array.nansum"]], "nansum() (ivy.container method)": [[349, "ivy.Container.nansum"]], "nextafter() (in module ivy)": [[350, "ivy.nextafter"], [365, "ivy.nextafter"]], "nextafter() (ivy.array method)": [[350, "ivy.Array.nextafter"]], "nextafter() (ivy.container method)": [[350, "ivy.Container.nextafter"]], "signbit() (in module ivy)": [[351, "ivy.signbit"], [365, "ivy.signbit"]], "signbit() (ivy.array method)": [[351, "ivy.Array.signbit"]], "signbit() (ivy.container method)": [[351, "ivy.Container.signbit"]], "sinc() (in module ivy)": [[352, "ivy.sinc"], [365, "ivy.sinc"]], "sinc() (ivy.array method)": [[352, "ivy.Array.sinc"]], "sinc() (ivy.container method)": [[352, "ivy.Container.sinc"]], "sparsify_tensor() (in module ivy)": [[353, "ivy.sparsify_tensor"], [365, "ivy.sparsify_tensor"]], "sparsify_tensor() (ivy.array method)": [[353, "ivy.Array.sparsify_tensor"]], "sparsify_tensor() (ivy.container method)": [[353, "ivy.Container.sparsify_tensor"]], "xlogy() (in module ivy)": [[354, "ivy.xlogy"], [365, "ivy.xlogy"]], "xlogy() (ivy.array method)": [[354, "ivy.Array.xlogy"]], "xlogy() (ivy.container method)": [[354, "ivy.Container.xlogy"]], "zeta() (in module ivy)": [[355, "ivy.zeta"], [365, "ivy.zeta"]], "zeta() (ivy.array method)": [[355, "ivy.Array.zeta"]], "zeta() (ivy.container method)": [[355, "ivy.Container.zeta"]], "reduce() (in module ivy)": [[356, "ivy.reduce"], [366, "ivy.reduce"]], "reduce() (ivy.array method)": [[356, "ivy.Array.reduce"]], "reduce() (ivy.container method)": [[356, "ivy.Container.reduce"]], "bind_custom_gradient_function() (in module ivy)": [[357, "ivy.bind_custom_gradient_function"], [367, "ivy.bind_custom_gradient_function"]], "jvp() (in module ivy)": [[358, "ivy.jvp"], [367, "ivy.jvp"]], "vjp() (in module ivy)": [[359, "ivy.vjp"], [367, "ivy.vjp"]], "ivy.functional.ivy.experimental.activations": [[360, "module-ivy.functional.ivy.experimental.activations"]], "ivy.functional.ivy.experimental.constants": [[361, "module-ivy.functional.ivy.experimental.constants"]], "ivy.functional.ivy.experimental.creation": [[362, "module-ivy.functional.ivy.experimental.creation"]], "ivy.functional.ivy.experimental.data_type": [[363, "module-ivy.functional.ivy.experimental.data_type"]], "ivy.functional.ivy.experimental.device": [[364, "module-ivy.functional.ivy.experimental.device"]], "ivy.functional.ivy.experimental.elementwise": [[365, "module-ivy.functional.ivy.experimental.elementwise"]], "ivy.functional.ivy.experimental.general": [[366, "module-ivy.functional.ivy.experimental.general"]], "ivy.functional.ivy.experimental.gradients": [[367, "module-ivy.functional.ivy.experimental.gradients"]], "adaptive_avg_pool1d() (in module ivy)": [[368, "ivy.adaptive_avg_pool1d"], [382, "ivy.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (in module ivy)": [[368, "ivy.adaptive_avg_pool2d"], [383, "ivy.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (in module ivy)": [[368, "ivy.adaptive_max_pool2d"], [384, "ivy.adaptive_max_pool2d"]], "area_interpolate() (in module ivy)": [[368, "ivy.area_interpolate"], [385, "ivy.area_interpolate"]], "avg_pool1d() (in module ivy)": [[368, "ivy.avg_pool1d"], [386, "ivy.avg_pool1d"]], "avg_pool2d() (in module ivy)": [[368, "ivy.avg_pool2d"], [387, "ivy.avg_pool2d"]], "avg_pool3d() (in module ivy)": [[368, "ivy.avg_pool3d"], [388, "ivy.avg_pool3d"]], "dct() (in module ivy)": [[368, "ivy.dct"], [389, "ivy.dct"]], "dft() (in module ivy)": [[368, "ivy.dft"], [390, "ivy.dft"]], "dropout1d() (in module ivy)": [[368, "ivy.dropout1d"], [391, "ivy.dropout1d"]], "dropout2d() (in module ivy)": [[368, "ivy.dropout2d"], [392, "ivy.dropout2d"]], "dropout3d() (in module ivy)": [[368, "ivy.dropout3d"], [393, "ivy.dropout3d"]], "embedding() (in module ivy)": [[368, "ivy.embedding"], [394, "ivy.embedding"]], "fft() (in module ivy)": [[368, "ivy.fft"], [395, "ivy.fft"]], "fft2() (in module ivy)": [[368, "ivy.fft2"], [396, "ivy.fft2"]], "generate_einsum_equation() (in module ivy)": [[368, "ivy.generate_einsum_equation"], [397, "ivy.generate_einsum_equation"]], "get_interpolate_kernel() (in module ivy)": [[368, "ivy.get_interpolate_kernel"], [398, "ivy.get_interpolate_kernel"]], "idct() (in module ivy)": [[368, "ivy.idct"], [399, "ivy.idct"]], "ifft() (in module ivy)": [[368, "ivy.ifft"], [400, "ivy.ifft"]], "ifftn() (in module ivy)": [[368, "ivy.ifftn"], [401, "ivy.ifftn"]], "interp() (in module ivy)": [[368, "ivy.interp"], [402, "ivy.interp"]], "interpolate() (in module ivy)": [[368, "ivy.interpolate"], [403, "ivy.interpolate"]], "ivy.functional.ivy.experimental.layers": [[368, "module-ivy.functional.ivy.experimental.layers"]], "max_pool1d() (in module ivy)": [[368, "ivy.max_pool1d"], [404, "ivy.max_pool1d"]], "max_pool2d() (in module ivy)": [[368, "ivy.max_pool2d"], [405, "ivy.max_pool2d"]], "max_pool3d() (in module ivy)": [[368, "ivy.max_pool3d"], [406, "ivy.max_pool3d"]], "max_unpool1d() (in module ivy)": [[368, "ivy.max_unpool1d"], [407, "ivy.max_unpool1d"]], "nearest_interpolate() (in module ivy)": [[368, "ivy.nearest_interpolate"], [408, "ivy.nearest_interpolate"]], "pool() (in module ivy)": [[368, "ivy.pool"], [409, "ivy.pool"]], "reduce_window() (in module ivy)": [[368, "ivy.reduce_window"], [410, "ivy.reduce_window"]], "rfft() (in module ivy)": [[368, "ivy.rfft"], [411, "ivy.rfft"]], "rfftn() (in module ivy)": [[368, "ivy.rfftn"], [412, "ivy.rfftn"]], "rnn() (in module ivy)": [[368, "ivy.rnn"], [413, "ivy.rnn"]], "sliding_window() (in module ivy)": [[368, "ivy.sliding_window"], [414, "ivy.sliding_window"]], "stft() (in module ivy)": [[368, "ivy.stft"], [415, "ivy.stft"]], "adjoint() (in module ivy)": [[369, "ivy.adjoint"], [416, "ivy.adjoint"]], "batched_outer() (in module ivy)": [[369, "ivy.batched_outer"], [417, "ivy.batched_outer"]], "cond() (in module ivy)": [[369, "ivy.cond"], [418, "ivy.cond"]], "diagflat() (in module ivy)": [[369, "ivy.diagflat"], [419, "ivy.diagflat"]], "dot() (in module ivy)": [[369, "ivy.dot"], [420, "ivy.dot"]], "eig() (in module ivy)": [[369, "ivy.eig"], [421, "ivy.eig"], [624, "ivy.eig"], [658, "ivy.eig"]], "eigh_tridiagonal() (in module ivy)": [[369, "ivy.eigh_tridiagonal"], [422, "ivy.eigh_tridiagonal"]], "eigvals() (in module ivy)": [[369, "ivy.eigvals"], [423, "ivy.eigvals"]], "general_inner_product() (in module ivy)": [[369, "ivy.general_inner_product"], [424, "ivy.general_inner_product"]], "higher_order_moment() (in module ivy)": [[369, "ivy.higher_order_moment"], [425, "ivy.higher_order_moment"]], "initialize_tucker() (in module ivy)": [[369, "ivy.initialize_tucker"], [426, "ivy.initialize_tucker"]], "ivy.functional.ivy.experimental.linear_algebra": [[369, "module-ivy.functional.ivy.experimental.linear_algebra"]], "khatri_rao() (in module ivy)": [[369, "ivy.khatri_rao"], [427, "ivy.khatri_rao"]], "kron() (in module ivy)": [[369, "ivy.kron"], [428, "ivy.kron"]], "kronecker() (in module ivy)": [[369, "ivy.kronecker"], [429, "ivy.kronecker"]], "make_svd_non_negative() (in module ivy)": [[369, "ivy.make_svd_non_negative"], [430, "ivy.make_svd_non_negative"]], "matrix_exp() (in module ivy)": [[369, "ivy.matrix_exp"], [431, "ivy.matrix_exp"]], "mode_dot() (in module ivy)": [[369, "ivy.mode_dot"], [432, "ivy.mode_dot"]], "multi_dot() (in module ivy)": [[369, "ivy.multi_dot"], [433, "ivy.multi_dot"]], "multi_mode_dot() (in module ivy)": [[369, "ivy.multi_mode_dot"], [434, "ivy.multi_mode_dot"]], "partial_tucker() (in module ivy)": [[369, "ivy.partial_tucker"], [435, "ivy.partial_tucker"]], "solve_triangular() (in module ivy)": [[369, "ivy.solve_triangular"], [436, "ivy.solve_triangular"]], "svd_flip() (in module ivy)": [[369, "ivy.svd_flip"], [437, "ivy.svd_flip"]], "tensor_train() (in module ivy)": [[369, "ivy.tensor_train"], [438, "ivy.tensor_train"]], "truncated_svd() (in module ivy)": [[369, "ivy.truncated_svd"], [439, "ivy.truncated_svd"]], "tt_matrix_to_tensor() (in module ivy)": [[369, "ivy.tt_matrix_to_tensor"], [440, "ivy.tt_matrix_to_tensor"]], "tucker() (in module ivy)": [[369, "ivy.tucker"], [441, "ivy.tucker"]], "huber_loss() (in module ivy)": [[370, "ivy.huber_loss"], [442, "ivy.huber_loss"]], "ivy.functional.ivy.experimental.losses": [[370, "module-ivy.functional.ivy.experimental.losses"]], "kl_div() (in module ivy)": [[370, "ivy.kl_div"], [443, "ivy.kl_div"]], "l1_loss() (in module ivy)": [[370, "ivy.l1_loss"], [444, "ivy.l1_loss"]], "log_poisson_loss() (in module ivy)": [[370, "ivy.log_poisson_loss"], [445, "ivy.log_poisson_loss"]], "poisson_nll_loss() (in module ivy)": [[370, "ivy.poisson_nll_loss"], [446, "ivy.poisson_nll_loss"]], "smooth_l1_loss() (in module ivy)": [[370, "ivy.smooth_l1_loss"], [447, "ivy.smooth_l1_loss"]], "soft_margin_loss() (in module ivy)": [[370, "ivy.soft_margin_loss"], [448, "ivy.soft_margin_loss"]], "as_strided() (in module ivy)": [[371, "ivy.as_strided"], [449, "ivy.as_strided"]], "associative_scan() (in module ivy)": [[371, "ivy.associative_scan"], [450, "ivy.associative_scan"]], "atleast_1d() (in module ivy)": [[371, "ivy.atleast_1d"], [451, "ivy.atleast_1d"]], "atleast_2d() (in module ivy)": [[371, "ivy.atleast_2d"], [452, "ivy.atleast_2d"]], "atleast_3d() (in module ivy)": [[371, "ivy.atleast_3d"], [453, "ivy.atleast_3d"]], "broadcast_shapes() (in module ivy)": [[371, "ivy.broadcast_shapes"], [454, "ivy.broadcast_shapes"]], "check_scalar() (in module ivy)": [[371, "ivy.check_scalar"], [455, "ivy.check_scalar"]], "choose() (in module ivy)": [[371, "ivy.choose"], [456, "ivy.choose"]], "column_stack() (in module ivy)": [[371, "ivy.column_stack"], [457, "ivy.column_stack"]], "concat_from_sequence() (in module ivy)": [[371, "ivy.concat_from_sequence"], [458, "ivy.concat_from_sequence"]], "dsplit() (in module ivy)": [[371, "ivy.dsplit"], [459, "ivy.dsplit"]], "dstack() (in module ivy)": [[371, "ivy.dstack"], [460, "ivy.dstack"]], "expand() (in module ivy)": [[371, "ivy.expand"], [461, "ivy.expand"]], "fill_diagonal() (in module ivy)": [[371, "ivy.fill_diagonal"], [462, "ivy.fill_diagonal"]], "flatten() (in module ivy)": [[371, "ivy.flatten"], [463, "ivy.flatten"]], "fliplr() (in module ivy)": [[371, "ivy.fliplr"], [464, "ivy.fliplr"]], "flipud() (in module ivy)": [[371, "ivy.flipud"], [465, "ivy.flipud"]], "fold() (in module ivy)": [[371, "ivy.fold"], [466, "ivy.fold"]], "heaviside() (in module ivy)": [[371, "ivy.heaviside"], [467, "ivy.heaviside"]], "hsplit() (in module ivy)": [[371, "ivy.hsplit"], [468, "ivy.hsplit"]], "hstack() (in module ivy)": [[371, "ivy.hstack"], [469, "ivy.hstack"]], "i0() (in module ivy)": [[371, "ivy.i0"], [470, "ivy.i0"]], "ivy.functional.ivy.experimental.manipulation": [[371, "module-ivy.functional.ivy.experimental.manipulation"]], "matricize() (in module ivy)": [[371, "ivy.matricize"], [471, "ivy.matricize"]], "moveaxis() (in module ivy)": [[371, "ivy.moveaxis"], [472, "ivy.moveaxis"]], "pad() (in module ivy)": [[371, "ivy.pad"], [473, "ivy.pad"]], "partial_fold() (in module ivy)": [[371, "ivy.partial_fold"], [474, "ivy.partial_fold"]], "partial_tensor_to_vec() (in module ivy)": [[371, "ivy.partial_tensor_to_vec"], [475, "ivy.partial_tensor_to_vec"]], "partial_unfold() (in module ivy)": [[371, "ivy.partial_unfold"], [476, "ivy.partial_unfold"]], "partial_vec_to_tensor() (in module ivy)": [[371, "ivy.partial_vec_to_tensor"], [477, "ivy.partial_vec_to_tensor"]], "put_along_axis() (in module ivy)": [[371, "ivy.put_along_axis"], [478, "ivy.put_along_axis"]], "rot90() (in module ivy)": [[371, "ivy.rot90"], [479, "ivy.rot90"]], "soft_thresholding() (in module ivy)": [[371, "ivy.soft_thresholding"], [480, "ivy.soft_thresholding"]], "take() (in module ivy)": [[371, "ivy.take"], [481, "ivy.take"]], "take_along_axis() (in module ivy)": [[371, "ivy.take_along_axis"], [482, "ivy.take_along_axis"]], "top_k() (in module ivy)": [[371, "ivy.top_k"], [483, "ivy.top_k"]], "trim_zeros() (in module ivy)": [[371, "ivy.trim_zeros"], [484, "ivy.trim_zeros"]], "unfold() (in module ivy)": [[371, "ivy.unfold"], [485, "ivy.unfold"]], "unique_consecutive() (in module ivy)": [[371, "ivy.unique_consecutive"], [486, "ivy.unique_consecutive"]], "vsplit() (in module ivy)": [[371, "ivy.vsplit"], [487, "ivy.vsplit"]], "vstack() (in module ivy)": [[371, "ivy.vstack"], [488, "ivy.vstack"]], "ivy.functional.ivy.experimental.meta": [[372, "module-ivy.functional.ivy.experimental.meta"]], "ivy.functional.ivy.experimental.nest": [[373, "module-ivy.functional.ivy.experimental.nest"]], "batch_norm() (in module ivy)": [[374, "ivy.batch_norm"], [489, "ivy.batch_norm"]], "group_norm() (in module ivy)": [[374, "ivy.group_norm"], [490, "ivy.group_norm"]], "instance_norm() (in module ivy)": [[374, "ivy.instance_norm"], [491, "ivy.instance_norm"]], "ivy.functional.ivy.experimental.norms": [[374, "module-ivy.functional.ivy.experimental.norms"]], "l1_normalize() (in module ivy)": [[374, "ivy.l1_normalize"], [492, "ivy.l1_normalize"]], "l2_normalize() (in module ivy)": [[374, "ivy.l2_normalize"], [493, "ivy.l2_normalize"]], "local_response_norm() (in module ivy)": [[374, "ivy.local_response_norm"], [494, "ivy.local_response_norm"]], "lp_normalize() (in module ivy)": [[374, "ivy.lp_normalize"], [495, "ivy.lp_normalize"]], "bernoulli() (in module ivy)": [[375, "ivy.bernoulli"], [496, "ivy.bernoulli"]], "beta() (in module ivy)": [[375, "ivy.beta"], [497, "ivy.beta"]], "dirichlet() (in module ivy)": [[375, "ivy.dirichlet"], [498, "ivy.dirichlet"]], "gamma() (in module ivy)": [[375, "ivy.gamma"], [499, "ivy.gamma"]], "ivy.functional.ivy.experimental.random": [[375, "module-ivy.functional.ivy.experimental.random"]], "poisson() (in module ivy)": [[375, "ivy.poisson"], [500, "ivy.poisson"]], "ivy.functional.ivy.experimental.searching": [[376, "module-ivy.functional.ivy.experimental.searching"]], "unravel_index() (in module ivy)": [[376, "ivy.unravel_index"], [501, "ivy.unravel_index"]], "ivy.functional.ivy.experimental.set": [[377, "module-ivy.functional.ivy.experimental.set"]], "invert_permutation() (in module ivy)": [[378, "ivy.invert_permutation"], [502, "ivy.invert_permutation"]], "ivy.functional.ivy.experimental.sorting": [[378, "module-ivy.functional.ivy.experimental.sorting"]], "lexsort() (in module ivy)": [[378, "ivy.lexsort"], [503, "ivy.lexsort"]], "nativesparsearray (class in ivy)": [[379, "ivy.NativeSparseArray"]], "sparsearray (class in ivy)": [[379, "ivy.SparseArray"]], "is_ivy_sparse_array() (in module ivy)": [[379, "ivy.is_ivy_sparse_array"], [504, "ivy.is_ivy_sparse_array"]], "is_native_sparse_array() (in module ivy)": [[379, "ivy.is_native_sparse_array"], [505, "ivy.is_native_sparse_array"]], "ivy.functional.ivy.experimental.sparse_array": [[379, "module-ivy.functional.ivy.experimental.sparse_array"]], "native_sparse_array() (in module ivy)": [[379, "ivy.native_sparse_array"], [506, "ivy.native_sparse_array"]], "native_sparse_array_to_indices_values_and_shape() (in module ivy)": [[379, "ivy.native_sparse_array_to_indices_values_and_shape"], [507, "ivy.native_sparse_array_to_indices_values_and_shape"]], "bincount() (in module ivy)": [[380, "ivy.bincount"], [508, "ivy.bincount"]], "corrcoef() (in module ivy)": [[380, "ivy.corrcoef"], [509, "ivy.corrcoef"]], "cov() (in module ivy)": [[380, "ivy.cov"], [510, "ivy.cov"]], "cummax() (in module ivy)": [[380, "ivy.cummax"], [511, "ivy.cummax"]], "cummin() (in module ivy)": [[380, "ivy.cummin"], [512, "ivy.cummin"]], "histogram() (in module ivy)": [[380, "ivy.histogram"], [513, "ivy.histogram"]], "igamma() (in module ivy)": [[380, "ivy.igamma"], [514, "ivy.igamma"]], "ivy.functional.ivy.experimental.statistical": [[380, "module-ivy.functional.ivy.experimental.statistical"]], "median() (in module ivy)": [[380, "ivy.median"], [515, "ivy.median"]], "nanmean() (in module ivy)": [[380, "ivy.nanmean"], [516, "ivy.nanmean"]], "nanmedian() (in module ivy)": [[380, "ivy.nanmedian"], [517, "ivy.nanmedian"]], "nanmin() (in module ivy)": [[380, "ivy.nanmin"], [518, "ivy.nanmin"]], "nanprod() (in module ivy)": [[380, "ivy.nanprod"], [519, "ivy.nanprod"]], "quantile() (in module ivy)": [[380, "ivy.quantile"], [520, "ivy.quantile"]], "ivy.functional.ivy.experimental.utility": [[381, "module-ivy.functional.ivy.experimental.utility"]], "optional_get_element() (in module ivy)": [[381, "ivy.optional_get_element"], [521, "ivy.optional_get_element"]], "adaptive_avg_pool1d() (ivy.array method)": [[382, "ivy.Array.adaptive_avg_pool1d"]], "adaptive_avg_pool1d() (ivy.container method)": [[382, "ivy.Container.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.array method)": [[383, "ivy.Array.adaptive_avg_pool2d"]], "adaptive_avg_pool2d() (ivy.container method)": [[383, "ivy.Container.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.array method)": [[384, "ivy.Array.adaptive_max_pool2d"]], "adaptive_max_pool2d() (ivy.container method)": [[384, "ivy.Container.adaptive_max_pool2d"]], "avg_pool1d() (ivy.array method)": [[386, "ivy.Array.avg_pool1d"]], "avg_pool1d() (ivy.container method)": [[386, "ivy.Container.avg_pool1d"]], "avg_pool2d() (ivy.array method)": [[387, "ivy.Array.avg_pool2d"]], "avg_pool2d() (ivy.container method)": [[387, "ivy.Container.avg_pool2d"]], "avg_pool3d() (ivy.array method)": [[388, "ivy.Array.avg_pool3d"]], "avg_pool3d() (ivy.container method)": [[388, "ivy.Container.avg_pool3d"]], "dct() (ivy.array method)": [[389, "ivy.Array.dct"]], "dct() (ivy.container method)": [[389, "ivy.Container.dct"]], "dft() (ivy.array method)": [[390, "ivy.Array.dft"]], "dft() (ivy.container method)": [[390, "ivy.Container.dft"]], "dropout1d() (ivy.array method)": [[391, "ivy.Array.dropout1d"]], "dropout1d() (ivy.container method)": [[391, "ivy.Container.dropout1d"]], "dropout2d() (ivy.array method)": [[392, "ivy.Array.dropout2d"]], "dropout2d() (ivy.container method)": [[392, "ivy.Container.dropout2d"]], "dropout3d() (ivy.array method)": [[393, "ivy.Array.dropout3d"]], "dropout3d() (ivy.container method)": [[393, "ivy.Container.dropout3d"]], "embedding() (ivy.array method)": [[394, "ivy.Array.embedding"]], "embedding() (ivy.container method)": [[394, "ivy.Container.embedding"]], "fft() (ivy.array method)": [[395, "ivy.Array.fft"]], "fft() (ivy.container method)": [[395, "ivy.Container.fft"]], "fft2() (ivy.array method)": [[396, "ivy.Array.fft2"]], "idct() (ivy.array method)": [[399, "ivy.Array.idct"]], "idct() (ivy.container method)": [[399, "ivy.Container.idct"]], "ifft() (ivy.array method)": [[400, "ivy.Array.ifft"]], "ifft() (ivy.container method)": [[400, "ivy.Container.ifft"]], "ifftn() (ivy.array method)": [[401, "ivy.Array.ifftn"]], "ifftn() (ivy.container method)": [[401, "ivy.Container.ifftn"]], "interpolate() (ivy.array method)": [[403, "ivy.Array.interpolate"]], "interpolate() (ivy.container method)": [[403, "ivy.Container.interpolate"]], "max_pool1d() (ivy.array method)": [[404, "ivy.Array.max_pool1d"]], "max_pool1d() (ivy.container method)": [[404, "ivy.Container.max_pool1d"]], "max_pool2d() (ivy.array method)": [[405, "ivy.Array.max_pool2d"]], "max_pool2d() (ivy.container method)": [[405, "ivy.Container.max_pool2d"]], "max_pool3d() (ivy.array method)": [[406, "ivy.Array.max_pool3d"]], "max_pool3d() (ivy.container method)": [[406, "ivy.Container.max_pool3d"]], "max_unpool1d() (ivy.array method)": [[407, "ivy.Array.max_unpool1d"]], "max_unpool1d() (ivy.container method)": [[407, "ivy.Container.max_unpool1d"]], "reduce_window() (ivy.array method)": [[410, "ivy.Array.reduce_window"]], "reduce_window() (ivy.container method)": [[410, "ivy.Container.reduce_window"]], "rfft() (ivy.array method)": [[411, "ivy.Array.rfft"]], "rfft() (ivy.container method)": [[411, "ivy.Container.rfft"]], "rfftn() (ivy.array method)": [[412, "ivy.Array.rfftn"]], "rfftn() (ivy.container method)": [[412, "ivy.Container.rfftn"]], "sliding_window() (ivy.array method)": [[414, "ivy.Array.sliding_window"]], "sliding_window() (ivy.container method)": [[414, "ivy.Container.sliding_window"]], "stft() (ivy.array method)": [[415, "ivy.Array.stft"]], "stft() (ivy.container method)": [[415, "ivy.Container.stft"]], "adjoint() (ivy.array method)": [[416, "ivy.Array.adjoint"]], "adjoint() (ivy.container method)": [[416, "ivy.Container.adjoint"]], "batched_outer() (ivy.array method)": [[417, "ivy.Array.batched_outer"]], "batched_outer() (ivy.container method)": [[417, "ivy.Container.batched_outer"]], "cond() (ivy.array method)": [[418, "ivy.Array.cond"]], "cond() (ivy.container method)": [[418, "ivy.Container.cond"]], "diagflat() (ivy.array method)": [[419, "ivy.Array.diagflat"]], "diagflat() (ivy.container method)": [[419, "ivy.Container.diagflat"]], "dot() (ivy.array method)": [[420, "ivy.Array.dot"]], "dot() (ivy.container method)": [[420, "ivy.Container.dot"]], "eig() (ivy.array method)": [[421, "ivy.Array.eig"], [658, "ivy.Array.eig"]], "eig() (ivy.container method)": [[421, "ivy.Container.eig"], [658, "ivy.Container.eig"]], "eigh_tridiagonal() (ivy.array method)": [[422, "ivy.Array.eigh_tridiagonal"]], "eigh_tridiagonal() (ivy.container method)": [[422, "ivy.Container.eigh_tridiagonal"]], "eigvals() (ivy.array method)": [[423, "ivy.Array.eigvals"]], "eigvals() (ivy.container method)": [[423, "ivy.Container.eigvals"]], "general_inner_product() (ivy.array method)": [[424, "ivy.Array.general_inner_product"]], "general_inner_product() (ivy.container method)": [[424, "ivy.Container.general_inner_product"]], "higher_order_moment() (ivy.array method)": [[425, "ivy.Array.higher_order_moment"]], "higher_order_moment() (ivy.container method)": [[425, "ivy.Container.higher_order_moment"]], "initialize_tucker() (ivy.array method)": [[426, "ivy.Array.initialize_tucker"]], "initialize_tucker() (ivy.container method)": [[426, "ivy.Container.initialize_tucker"]], "kron() (ivy.array method)": [[428, "ivy.Array.kron"]], "kron() (ivy.container method)": [[428, "ivy.Container.kron"]], "make_svd_non_negative() (ivy.array method)": [[430, "ivy.Array.make_svd_non_negative"]], "make_svd_non_negative() (ivy.container method)": [[430, "ivy.Container.make_svd_non_negative"]], "matrix_exp() (ivy.array method)": [[431, "ivy.Array.matrix_exp"]], "matrix_exp() (ivy.container method)": [[431, "ivy.Container.matrix_exp"]], "mode_dot() (ivy.array method)": [[432, "ivy.Array.mode_dot"]], "mode_dot() (ivy.container method)": [[432, "ivy.Container.mode_dot"]], "multi_dot() (ivy.array method)": [[433, "ivy.Array.multi_dot"]], "multi_dot() (ivy.container method)": [[433, "ivy.Container.multi_dot"]], "multi_mode_dot() (ivy.array method)": [[434, "ivy.Array.multi_mode_dot"]], "multi_mode_dot() (ivy.container method)": [[434, "ivy.Container.multi_mode_dot"]], "partial_tucker() (ivy.array method)": [[435, "ivy.Array.partial_tucker"]], "partial_tucker() (ivy.container method)": [[435, "ivy.Container.partial_tucker"]], "svd_flip() (ivy.array method)": [[437, "ivy.Array.svd_flip"]], "svd_flip() (ivy.container method)": [[437, "ivy.Container.svd_flip"]], "tensor_train() (ivy.array method)": [[438, "ivy.Array.tensor_train"]], "tensor_train() (ivy.container method)": [[438, "ivy.Container.tensor_train"]], "truncated_svd() (ivy.array method)": [[439, "ivy.Array.truncated_svd"]], "truncated_svd() (ivy.container method)": [[439, "ivy.Container.truncated_svd"]], "tt_matrix_to_tensor() (ivy.array method)": [[440, "ivy.Array.tt_matrix_to_tensor"]], "tt_matrix_to_tensor() (ivy.container method)": [[440, "ivy.Container.tt_matrix_to_tensor"]], "tucker() (ivy.array method)": [[441, "ivy.Array.tucker"]], "tucker() (ivy.container method)": [[441, "ivy.Container.tucker"]], "huber_loss() (ivy.array method)": [[442, "ivy.Array.huber_loss"]], "huber_loss() (ivy.container method)": [[442, "ivy.Container.huber_loss"]], "kl_div() (ivy.array method)": [[443, "ivy.Array.kl_div"]], "kl_div() (ivy.container method)": [[443, "ivy.Container.kl_div"]], "l1_loss() (ivy.array method)": [[444, "ivy.Array.l1_loss"]], "l1_loss() (ivy.container method)": [[444, "ivy.Container.l1_loss"]], "log_poisson_loss() (ivy.array method)": [[445, "ivy.Array.log_poisson_loss"]], "log_poisson_loss() (ivy.container method)": [[445, "ivy.Container.log_poisson_loss"]], "poisson_nll_loss() (ivy.array method)": [[446, "ivy.Array.poisson_nll_loss"]], "poisson_nll_loss() (ivy.container method)": [[446, "ivy.Container.poisson_nll_loss"]], "smooth_l1_loss() (ivy.array method)": [[447, "ivy.Array.smooth_l1_loss"]], "smooth_l1_loss() (ivy.container method)": [[447, "ivy.Container.smooth_l1_loss"]], "soft_margin_loss() (ivy.array method)": [[448, "ivy.Array.soft_margin_loss"]], "soft_margin_loss() (ivy.container method)": [[448, "ivy.Container.soft_margin_loss"]], "as_strided() (ivy.array method)": [[449, "ivy.Array.as_strided"]], "as_strided() (ivy.container method)": [[449, "ivy.Container.as_strided"]], "associative_scan() (ivy.array method)": [[450, "ivy.Array.associative_scan"]], "associative_scan() (ivy.container method)": [[450, "ivy.Container.associative_scan"]], "atleast_1d() (ivy.array method)": [[451, "ivy.Array.atleast_1d"]], "atleast_1d() (ivy.container method)": [[451, "ivy.Container.atleast_1d"]], "atleast_2d() (ivy.array method)": [[452, "ivy.Array.atleast_2d"]], "atleast_2d() (ivy.container method)": [[452, "ivy.Container.atleast_2d"]], "atleast_3d() (ivy.array method)": [[453, "ivy.Array.atleast_3d"]], "atleast_3d() (ivy.container method)": [[453, "ivy.Container.atleast_3d"]], "broadcast_shapes() (ivy.container method)": [[454, "ivy.Container.broadcast_shapes"]], "column_stack() (ivy.array method)": [[457, "ivy.Array.column_stack"]], "column_stack() (ivy.container method)": [[457, "ivy.Container.column_stack"]], "concat_from_sequence() (ivy.array method)": [[458, "ivy.Array.concat_from_sequence"]], "concat_from_sequence() (ivy.container method)": [[458, "ivy.Container.concat_from_sequence"]], "dsplit() (ivy.array method)": [[459, "ivy.Array.dsplit"]], "dsplit() (ivy.container method)": [[459, "ivy.Container.dsplit"]], "dstack() (ivy.array method)": [[460, "ivy.Array.dstack"]], "dstack() (ivy.container method)": [[460, "ivy.Container.dstack"]], "expand() (ivy.array method)": [[461, "ivy.Array.expand"]], "expand() (ivy.container method)": [[461, "ivy.Container.expand"]], "fill_diagonal() (ivy.array method)": [[462, "ivy.Array.fill_diagonal"]], "fill_diagonal() (ivy.container method)": [[462, "ivy.Container.fill_diagonal"]], "flatten() (ivy.array method)": [[463, "ivy.Array.flatten"]], "flatten() (ivy.container method)": [[463, "ivy.Container.flatten"]], "fliplr() (ivy.array method)": [[464, "ivy.Array.fliplr"]], "fliplr() (ivy.container method)": [[464, "ivy.Container.fliplr"]], "flipud() (ivy.array method)": [[465, "ivy.Array.flipud"]], "flipud() (ivy.container method)": [[465, "ivy.Container.flipud"]], "fold() (ivy.array method)": [[466, "ivy.Array.fold"]], "fold() (ivy.container method)": [[466, "ivy.Container.fold"]], "heaviside() (ivy.array method)": [[467, "ivy.Array.heaviside"]], "heaviside() (ivy.container method)": [[467, "ivy.Container.heaviside"]], "hsplit() (ivy.array method)": [[468, "ivy.Array.hsplit"]], "hsplit() (ivy.container method)": [[468, "ivy.Container.hsplit"]], "hstack() (ivy.array method)": [[469, "ivy.Array.hstack"]], "hstack() (ivy.container method)": [[469, "ivy.Container.hstack"]], "i0() (ivy.array method)": [[470, "ivy.Array.i0"]], "i0() (ivy.container method)": [[470, "ivy.Container.i0"]], "matricize() (ivy.array method)": [[471, "ivy.Array.matricize"]], "matricize() (ivy.container method)": [[471, "ivy.Container.matricize"]], "moveaxis() (ivy.array method)": [[472, "ivy.Array.moveaxis"]], "moveaxis() (ivy.container method)": [[472, "ivy.Container.moveaxis"]], "pad() (ivy.array method)": [[473, "ivy.Array.pad"]], "pad() (ivy.container method)": [[473, "ivy.Container.pad"]], "partial_fold() (ivy.array method)": [[474, "ivy.Array.partial_fold"]], "partial_fold() (ivy.container method)": [[474, "ivy.Container.partial_fold"]], "partial_tensor_to_vec() (ivy.array method)": [[475, "ivy.Array.partial_tensor_to_vec"]], "partial_tensor_to_vec() (ivy.container method)": [[475, "ivy.Container.partial_tensor_to_vec"]], "partial_unfold() (ivy.array method)": [[476, "ivy.Array.partial_unfold"]], "partial_unfold() (ivy.container method)": [[476, "ivy.Container.partial_unfold"]], "partial_vec_to_tensor() (ivy.array method)": [[477, "ivy.Array.partial_vec_to_tensor"]], "partial_vec_to_tensor() (ivy.container method)": [[477, "ivy.Container.partial_vec_to_tensor"]], "put_along_axis() (ivy.array method)": [[478, "ivy.Array.put_along_axis"]], "put_along_axis() (ivy.container method)": [[478, "ivy.Container.put_along_axis"]], "rot90() (ivy.array method)": [[479, "ivy.Array.rot90"]], "rot90() (ivy.container method)": [[479, "ivy.Container.rot90"]], "soft_thresholding() (ivy.array method)": [[480, "ivy.Array.soft_thresholding"]], "soft_thresholding() (ivy.container method)": [[480, "ivy.Container.soft_thresholding"]], "take() (ivy.array method)": [[481, "ivy.Array.take"]], "take() (ivy.container method)": [[481, "ivy.Container.take"]], "take_along_axis() (ivy.array method)": [[482, "ivy.Array.take_along_axis"]], "take_along_axis() (ivy.container method)": [[482, "ivy.Container.take_along_axis"]], "top_k() (ivy.array method)": [[483, "ivy.Array.top_k"]], "top_k() (ivy.container method)": [[483, "ivy.Container.top_k"]], "trim_zeros() (ivy.array method)": [[484, "ivy.Array.trim_zeros"]], "trim_zeros() (ivy.container method)": [[484, "ivy.Container.trim_zeros"]], "unfold() (ivy.array method)": [[485, "ivy.Array.unfold"]], "unfold() (ivy.container method)": [[485, "ivy.Container.unfold"]], "unique_consecutive() (ivy.array method)": [[486, "ivy.Array.unique_consecutive"]], "unique_consecutive() (ivy.container method)": [[486, "ivy.Container.unique_consecutive"]], "vsplit() (ivy.array method)": [[487, "ivy.Array.vsplit"]], "vsplit() (ivy.container method)": [[487, "ivy.Container.vsplit"]], "vstack() (ivy.array method)": [[488, "ivy.Array.vstack"]], "vstack() (ivy.container method)": [[488, "ivy.Container.vstack"]], "batch_norm() (ivy.array method)": [[489, "ivy.Array.batch_norm"]], "batch_norm() (ivy.container method)": [[489, "ivy.Container.batch_norm"]], "group_norm() (ivy.array method)": [[490, "ivy.Array.group_norm"]], "group_norm() (ivy.container method)": [[490, "ivy.Container.group_norm"]], "instance_norm() (ivy.array method)": [[491, "ivy.Array.instance_norm"]], "instance_norm() (ivy.container method)": [[491, "ivy.Container.instance_norm"]], "l1_normalize() (ivy.array method)": [[492, "ivy.Array.l1_normalize"]], "l1_normalize() (ivy.container method)": [[492, "ivy.Container.l1_normalize"]], "l2_normalize() (ivy.array method)": [[493, "ivy.Array.l2_normalize"]], "l2_normalize() (ivy.container method)": [[493, "ivy.Container.l2_normalize"]], "lp_normalize() (ivy.array method)": [[495, "ivy.Array.lp_normalize"]], "lp_normalize() (ivy.container method)": [[495, "ivy.Container.lp_normalize"]], "bernoulli() (ivy.array method)": [[496, "ivy.Array.bernoulli"]], "bernoulli() (ivy.container method)": [[496, "ivy.Container.bernoulli"]], "beta() (ivy.array method)": [[497, "ivy.Array.beta"]], "beta() (ivy.container method)": [[497, "ivy.Container.beta"]], "dirichlet() (ivy.array method)": [[498, "ivy.Array.dirichlet"]], "dirichlet() (ivy.container method)": [[498, "ivy.Container.dirichlet"]], "gamma() (ivy.array method)": [[499, "ivy.Array.gamma"]], "gamma() (ivy.container method)": [[499, "ivy.Container.gamma"]], "poisson() (ivy.array method)": [[500, "ivy.Array.poisson"]], "poisson() (ivy.container method)": [[500, "ivy.Container.poisson"]], "unravel_index() (ivy.array method)": [[501, "ivy.Array.unravel_index"]], "unravel_index() (ivy.container method)": [[501, "ivy.Container.unravel_index"]], "invert_permutation() (ivy.container method)": [[502, "ivy.Container.invert_permutation"]], "lexsort() (ivy.array method)": [[503, "ivy.Array.lexsort"]], "lexsort() (ivy.container method)": [[503, "ivy.Container.lexsort"]], "bincount() (ivy.array method)": [[508, "ivy.Array.bincount"]], "bincount() (ivy.container method)": [[508, "ivy.Container.bincount"]], "corrcoef() (ivy.array method)": [[509, "ivy.Array.corrcoef"]], "corrcoef() (ivy.container method)": [[509, "ivy.Container.corrcoef"]], "cov() (ivy.array method)": [[510, "ivy.Array.cov"]], "cov() (ivy.container method)": [[510, "ivy.Container.cov"]], "cummax() (ivy.array method)": [[511, "ivy.Array.cummax"]], "cummax() (ivy.container method)": [[511, "ivy.Container.cummax"]], "cummin() (ivy.array method)": [[512, "ivy.Array.cummin"]], "cummin() (ivy.container method)": [[512, "ivy.Container.cummin"]], "histogram() (ivy.array method)": [[513, "ivy.Array.histogram"]], "histogram() (ivy.container method)": [[513, "ivy.Container.histogram"]], "igamma() (ivy.array method)": [[514, "ivy.Array.igamma"]], "igamma() (ivy.container method)": [[514, "ivy.Container.igamma"]], "median() (ivy.array method)": [[515, "ivy.Array.median"]], "median() (ivy.container method)": [[515, "ivy.Container.median"]], "nanmean() (ivy.array method)": [[516, "ivy.Array.nanmean"]], "nanmean() (ivy.container method)": [[516, "ivy.Container.nanmean"]], "nanmedian() (ivy.array method)": [[517, "ivy.Array.nanmedian"]], "nanmedian() (ivy.container method)": [[517, "ivy.Container.nanmedian"]], "nanmin() (ivy.array method)": [[518, "ivy.Array.nanmin"]], "nanmin() (ivy.container method)": [[518, "ivy.Container.nanmin"]], "nanprod() (ivy.array method)": [[519, "ivy.Array.nanprod"]], "nanprod() (ivy.container method)": [[519, "ivy.Container.nanprod"]], "quantile() (ivy.array method)": [[520, "ivy.Array.quantile"]], "quantile() (ivy.container method)": [[520, "ivy.Container.quantile"]], "optional_get_element() (ivy.array method)": [[521, "ivy.Array.optional_get_element"]], "optional_get_element() (ivy.container method)": [[521, "ivy.Container.optional_get_element"]], "all_equal() (in module ivy)": [[522, "ivy.all_equal"], [621, "ivy.all_equal"]], "all_equal() (ivy.array method)": [[522, "ivy.Array.all_equal"]], "all_equal() (ivy.container method)": [[522, "ivy.Container.all_equal"]], "arg_info() (in module ivy)": [[523, "ivy.arg_info"], [621, "ivy.arg_info"]], "arg_names() (in module ivy)": [[524, "ivy.arg_names"], [621, "ivy.arg_names"]], "array_equal() (in module ivy)": [[525, "ivy.array_equal"], [621, "ivy.array_equal"]], "array_equal() (ivy.array method)": [[525, "ivy.Array.array_equal"]], "array_equal() (ivy.container method)": [[525, "ivy.Container.array_equal"]], "assert_supports_inplace() (in module ivy)": [[526, "ivy.assert_supports_inplace"], [621, "ivy.assert_supports_inplace"]], "assert_supports_inplace() (ivy.array method)": [[526, "ivy.Array.assert_supports_inplace"]], "assert_supports_inplace() (ivy.container method)": [[526, "ivy.Container.assert_supports_inplace"]], "cache_fn() (in module ivy)": [[527, "ivy.cache_fn"], [621, "ivy.cache_fn"]], "clip_matrix_norm() (in module ivy)": [[528, "ivy.clip_matrix_norm"], [621, "ivy.clip_matrix_norm"]], "clip_matrix_norm() (ivy.array method)": [[528, "ivy.Array.clip_matrix_norm"]], "clip_matrix_norm() (ivy.container method)": [[528, "ivy.Container.clip_matrix_norm"]], "clip_vector_norm() (in module ivy)": [[529, "ivy.clip_vector_norm"], [621, "ivy.clip_vector_norm"]], "clip_vector_norm() (ivy.array method)": [[529, "ivy.Array.clip_vector_norm"]], "clip_vector_norm() (ivy.container method)": [[529, "ivy.Container.clip_vector_norm"]], "container_types() (in module ivy)": [[530, "ivy.container_types"], [621, "ivy.container_types"]], "current_backend_str() (in module ivy)": [[531, "ivy.current_backend_str"], [621, "ivy.current_backend_str"]], "default() (in module ivy)": [[532, "ivy.default"], [621, "ivy.default"]], "default() (ivy.array method)": [[532, "ivy.Array.default"]], "einops_rearrange() (in module ivy)": [[533, "ivy.einops_rearrange"], [621, "ivy.einops_rearrange"]], "einops_rearrange() (ivy.array method)": [[533, "ivy.Array.einops_rearrange"]], "einops_rearrange() (ivy.container method)": [[533, "ivy.Container.einops_rearrange"]], "einops_reduce() (in module ivy)": [[534, "ivy.einops_reduce"], [621, "ivy.einops_reduce"]], "einops_reduce() (ivy.array method)": [[534, "ivy.Array.einops_reduce"]], "einops_reduce() (ivy.container method)": [[534, "ivy.Container.einops_reduce"]], "einops_repeat() (in module ivy)": [[535, "ivy.einops_repeat"], [621, "ivy.einops_repeat"]], "einops_repeat() (ivy.array method)": [[535, "ivy.Array.einops_repeat"]], "einops_repeat() (ivy.container method)": [[535, "ivy.Container.einops_repeat"]], "exists() (in module ivy)": [[536, "ivy.exists"], [621, "ivy.exists"]], "exists() (ivy.array method)": [[536, "ivy.Array.exists"]], "exists() (ivy.container method)": [[536, "ivy.Container.exists"]], "fourier_encode() (in module ivy)": [[537, "ivy.fourier_encode"], [621, "ivy.fourier_encode"]], "fourier_encode() (ivy.array method)": [[537, "ivy.Array.fourier_encode"]], "fourier_encode() (ivy.container method)": [[537, "ivy.Container.fourier_encode"]], "function_supported_devices_and_dtypes() (in module ivy)": [[538, "ivy.function_supported_devices_and_dtypes"], [621, "ivy.function_supported_devices_and_dtypes"]], "function_unsupported_devices_and_dtypes() (in module ivy)": [[539, "ivy.function_unsupported_devices_and_dtypes"], [621, "ivy.function_unsupported_devices_and_dtypes"]], "gather() (in module ivy)": [[540, "ivy.gather"], [621, "ivy.gather"]], "gather() (ivy.array method)": [[540, "ivy.Array.gather"]], "gather() (ivy.container method)": [[540, "ivy.Container.gather"]], "gather_nd() (in module ivy)": [[541, "ivy.gather_nd"], [621, "ivy.gather_nd"]], "gather_nd() (ivy.array method)": [[541, "ivy.Array.gather_nd"]], "gather_nd() (ivy.container method)": [[541, "ivy.Container.gather_nd"]], "get_all_arrays_in_memory() (in module ivy)": [[542, "ivy.get_all_arrays_in_memory"], [621, "ivy.get_all_arrays_in_memory"]], "get_item() (in module ivy)": [[543, "ivy.get_item"], [621, "ivy.get_item"]], "get_num_dims() (in module ivy)": [[544, "ivy.get_num_dims"], [621, "ivy.get_num_dims"]], "get_num_dims() (ivy.array method)": [[544, "ivy.Array.get_num_dims"]], "get_num_dims() (ivy.container method)": [[544, "ivy.Container.get_num_dims"]], "get_referrers_recursive() (in module ivy)": [[545, "ivy.get_referrers_recursive"], [621, "ivy.get_referrers_recursive"]], "has_nans() (in module ivy)": [[546, "ivy.has_nans"], [621, "ivy.has_nans"]], "has_nans() (ivy.array method)": [[546, "ivy.Array.has_nans"]], "has_nans() (ivy.container method)": [[546, "ivy.Container.has_nans"]], "inplace_arrays_supported() (in module ivy)": [[547, "ivy.inplace_arrays_supported"], [621, "ivy.inplace_arrays_supported"]], "inplace_decrement() (in module ivy)": [[548, "ivy.inplace_decrement"], [621, "ivy.inplace_decrement"]], "inplace_decrement() (ivy.array method)": [[548, "ivy.Array.inplace_decrement"]], "inplace_decrement() (ivy.container method)": [[548, "ivy.Container.inplace_decrement"]], "inplace_increment() (in module ivy)": [[549, "ivy.inplace_increment"], [621, "ivy.inplace_increment"]], "inplace_increment() (ivy.array method)": [[549, "ivy.Array.inplace_increment"]], "inplace_increment() (ivy.container method)": [[549, "ivy.Container.inplace_increment"]], "inplace_update() (in module ivy)": [[550, "ivy.inplace_update"], [621, "ivy.inplace_update"]], "inplace_update() (ivy.array method)": [[550, "ivy.Array.inplace_update"]], "inplace_update() (ivy.container method)": [[550, "ivy.Container.inplace_update"]], "inplace_variables_supported() (in module ivy)": [[551, "ivy.inplace_variables_supported"], [621, "ivy.inplace_variables_supported"]], "is_array() (in module ivy)": [[552, "ivy.is_array"], [621, "ivy.is_array"]], "is_array() (ivy.array method)": [[552, "ivy.Array.is_array"]], "is_array() (ivy.container method)": [[552, "ivy.Container.is_array"]], "is_ivy_array() (in module ivy)": [[553, "ivy.is_ivy_array"], [621, "ivy.is_ivy_array"]], "is_ivy_array() (ivy.array method)": [[553, "ivy.Array.is_ivy_array"]], "is_ivy_array() (ivy.container method)": [[553, "ivy.Container.is_ivy_array"]], "is_ivy_container() (in module ivy)": [[554, "ivy.is_ivy_container"], [621, "ivy.is_ivy_container"]], "is_ivy_container() (ivy.array method)": [[554, "ivy.Array.is_ivy_container"]], "is_ivy_nested_array() (in module ivy)": [[555, "ivy.is_ivy_nested_array"], [621, "ivy.is_ivy_nested_array"]], "is_native_array() (in module ivy)": [[556, "ivy.is_native_array"], [621, "ivy.is_native_array"]], "is_native_array() (ivy.array method)": [[556, "ivy.Array.is_native_array"]], "is_native_array() (ivy.container method)": [[556, "ivy.Container.is_native_array"]], "isin() (in module ivy)": [[557, "ivy.isin"], [621, "ivy.isin"]], "isin() (ivy.array method)": [[557, "ivy.Array.isin"]], "isin() (ivy.container method)": [[557, "ivy.Container.isin"]], "isscalar() (in module ivy)": [[558, "ivy.isscalar"], [621, "ivy.isscalar"]], "itemsize() (in module ivy)": [[559, "ivy.itemsize"], [621, "ivy.itemsize"]], "itemsize() (ivy.array method)": [[559, "ivy.Array.itemsize"]], "itemsize() (ivy.container method)": [[559, "ivy.Container.itemsize"]], "match_kwargs() (in module ivy)": [[560, "ivy.match_kwargs"], [621, "ivy.match_kwargs"]], "multiprocessing() (in module ivy)": [[561, "ivy.multiprocessing"], [621, "ivy.multiprocessing"]], "num_arrays_in_memory() (in module ivy)": [[562, "ivy.num_arrays_in_memory"], [621, "ivy.num_arrays_in_memory"]], "print_all_arrays_in_memory() (in module ivy)": [[563, "ivy.print_all_arrays_in_memory"], [621, "ivy.print_all_arrays_in_memory"]], "scatter_flat() (in module ivy)": [[564, "ivy.scatter_flat"], [621, "ivy.scatter_flat"]], "scatter_flat() (ivy.array method)": [[564, "ivy.Array.scatter_flat"]], "scatter_flat() (ivy.container method)": [[564, "ivy.Container.scatter_flat"]], "scatter_nd() (in module ivy)": [[565, "ivy.scatter_nd"], [621, "ivy.scatter_nd"]], "scatter_nd() (ivy.array method)": [[565, "ivy.Array.scatter_nd"]], "scatter_nd() (ivy.container method)": [[565, "ivy.Container.scatter_nd"]], "set_array_mode() (in module ivy)": [[566, "ivy.set_array_mode"], [621, "ivy.set_array_mode"]], "set_exception_trace_mode() (in module ivy)": [[567, "ivy.set_exception_trace_mode"], [621, "ivy.set_exception_trace_mode"]], "set_inplace_mode() (in module ivy)": [[568, "ivy.set_inplace_mode"], [621, "ivy.set_inplace_mode"]], "set_item() (in module ivy)": [[569, "ivy.set_item"], [621, "ivy.set_item"]], "set_min_base() (in module ivy)": [[570, "ivy.set_min_base"], [621, "ivy.set_min_base"]], "set_min_denominator() (in module ivy)": [[571, "ivy.set_min_denominator"], [621, "ivy.set_min_denominator"]], "set_nestable_mode() (in module ivy)": [[572, "ivy.set_nestable_mode"], [621, "ivy.set_nestable_mode"]], "set_precise_mode() (in module ivy)": [[573, "ivy.set_precise_mode"], [621, "ivy.set_precise_mode"]], "set_queue_timeout() (in module ivy)": [[574, "ivy.set_queue_timeout"], [621, "ivy.set_queue_timeout"]], "set_shape_array_mode() (in module ivy)": [[575, "ivy.set_shape_array_mode"], [621, "ivy.set_shape_array_mode"]], "set_show_func_wrapper_trace_mode() (in module ivy)": [[576, "ivy.set_show_func_wrapper_trace_mode"], [621, "ivy.set_show_func_wrapper_trace_mode"]], "set_tmp_dir() (in module ivy)": [[577, "ivy.set_tmp_dir"], [621, "ivy.set_tmp_dir"]], "shape() (in module ivy)": [[578, "ivy.shape"], [621, "ivy.shape"]], "shape() (ivy.array method)": [[578, "ivy.Array.shape"]], "stable_divide() (in module ivy)": [[579, "ivy.stable_divide"], [621, "ivy.stable_divide"]], "stable_divide() (ivy.array method)": [[579, "ivy.Array.stable_divide"]], "stable_divide() (ivy.container method)": [[579, "ivy.Container.stable_divide"]], "stable_pow() (in module ivy)": [[580, "ivy.stable_pow"], [621, "ivy.stable_pow"]], "stable_pow() (ivy.array method)": [[580, "ivy.Array.stable_pow"]], "stable_pow() (ivy.container method)": [[580, "ivy.Container.stable_pow"]], "strides() (in module ivy)": [[581, "ivy.strides"], [621, "ivy.strides"]], "strides() (ivy.array method)": [[581, "ivy.Array.strides"]], "strides() (ivy.container method)": [[581, "ivy.Container.strides"]], "supports_inplace_updates() (in module ivy)": [[582, "ivy.supports_inplace_updates"], [621, "ivy.supports_inplace_updates"]], "supports_inplace_updates() (ivy.array method)": [[582, "ivy.Array.supports_inplace_updates"]], "supports_inplace_updates() (ivy.container method)": [[582, "ivy.Container.supports_inplace_updates"]], "to_ivy_shape() (in module ivy)": [[583, "ivy.to_ivy_shape"], [621, "ivy.to_ivy_shape"]], "to_list() (in module ivy)": [[584, "ivy.to_list"], [621, "ivy.to_list"]], "to_list() (ivy.array method)": [[584, "ivy.Array.to_list"]], "to_list() (ivy.container method)": [[584, "ivy.Container.to_list"]], "to_native_shape() (in module ivy)": [[585, "ivy.to_native_shape"], [621, "ivy.to_native_shape"]], "to_numpy() (in module ivy)": [[586, "ivy.to_numpy"], [621, "ivy.to_numpy"]], "to_numpy() (ivy.array method)": [[586, "ivy.Array.to_numpy"]], "to_numpy() (ivy.container method)": [[586, "ivy.Container.to_numpy"]], "to_scalar() (in module ivy)": [[587, "ivy.to_scalar"], [621, "ivy.to_scalar"]], "to_scalar() (ivy.array method)": [[587, "ivy.Array.to_scalar"]], "to_scalar() (ivy.container method)": [[587, "ivy.Container.to_scalar"]], "try_else_none() (in module ivy)": [[588, "ivy.try_else_none"], [621, "ivy.try_else_none"]], "unset_array_mode() (in module ivy)": [[589, "ivy.unset_array_mode"], [621, "ivy.unset_array_mode"]], "unset_exception_trace_mode() (in module ivy)": [[590, "ivy.unset_exception_trace_mode"], [621, "ivy.unset_exception_trace_mode"]], "unset_inplace_mode() (in module ivy)": [[591, "ivy.unset_inplace_mode"], [621, "ivy.unset_inplace_mode"]], "unset_min_base() (in module ivy)": [[592, "ivy.unset_min_base"], [621, "ivy.unset_min_base"]], "unset_min_denominator() (in module ivy)": [[593, "ivy.unset_min_denominator"], [621, "ivy.unset_min_denominator"]], "unset_nestable_mode() (in module ivy)": [[594, "ivy.unset_nestable_mode"], [621, "ivy.unset_nestable_mode"]], "unset_precise_mode() (in module ivy)": [[595, "ivy.unset_precise_mode"], [621, "ivy.unset_precise_mode"]], "unset_queue_timeout() (in module ivy)": [[596, "ivy.unset_queue_timeout"], [621, "ivy.unset_queue_timeout"]], "unset_shape_array_mode() (in module ivy)": [[597, "ivy.unset_shape_array_mode"], [621, "ivy.unset_shape_array_mode"]], "unset_show_func_wrapper_trace_mode() (in module ivy)": [[598, "ivy.unset_show_func_wrapper_trace_mode"], [621, "ivy.unset_show_func_wrapper_trace_mode"]], "unset_tmp_dir() (in module ivy)": [[599, "ivy.unset_tmp_dir"], [621, "ivy.unset_tmp_dir"]], "value_is_nan() (in module ivy)": [[600, "ivy.value_is_nan"], [621, "ivy.value_is_nan"]], "value_is_nan() (ivy.array method)": [[600, "ivy.Array.value_is_nan"]], "value_is_nan() (ivy.container method)": [[600, "ivy.Container.value_is_nan"]], "vmap() (in module ivy)": [[601, "ivy.vmap"], [621, "ivy.vmap"]], "adam_step() (in module ivy)": [[602, "ivy.adam_step"], [622, "ivy.adam_step"]], "adam_step() (ivy.array method)": [[602, "ivy.Array.adam_step"]], "adam_step() (ivy.container method)": [[602, "ivy.Container.adam_step"]], "adam_update() (in module ivy)": [[603, "ivy.adam_update"], [622, "ivy.adam_update"]], "adam_update() (ivy.array method)": [[603, "ivy.Array.adam_update"]], "adam_update() (ivy.container method)": [[603, "ivy.Container.adam_update"]], "execute_with_gradients() (in module ivy)": [[604, "ivy.execute_with_gradients"], [622, "ivy.execute_with_gradients"]], "grad() (in module ivy)": [[605, "ivy.grad"], [622, "ivy.grad"]], "gradient_descent_update() (in module ivy)": [[606, "ivy.gradient_descent_update"], [622, "ivy.gradient_descent_update"]], "gradient_descent_update() (ivy.array method)": [[606, "ivy.Array.gradient_descent_update"]], "gradient_descent_update() (ivy.container method)": [[606, "ivy.Container.gradient_descent_update"]], "jac() (in module ivy)": [[607, "ivy.jac"], [622, "ivy.jac"]], "lamb_update() (in module ivy)": [[608, "ivy.lamb_update"], [622, "ivy.lamb_update"]], "lamb_update() (ivy.array method)": [[608, "ivy.Array.lamb_update"]], "lamb_update() (ivy.container method)": [[608, "ivy.Container.lamb_update"]], "lars_update() (in module ivy)": [[609, "ivy.lars_update"], [622, "ivy.lars_update"]], "lars_update() (ivy.array method)": [[609, "ivy.Array.lars_update"]], "lars_update() (ivy.container method)": [[609, "ivy.Container.lars_update"]], "optimizer_update() (in module ivy)": [[610, "ivy.optimizer_update"], [622, "ivy.optimizer_update"]], "optimizer_update() (ivy.array method)": [[610, "ivy.Array.optimizer_update"]], "optimizer_update() (ivy.container method)": [[610, "ivy.Container.optimizer_update"]], "stop_gradient() (in module ivy)": [[611, "ivy.stop_gradient"], [622, "ivy.stop_gradient"]], "stop_gradient() (ivy.array method)": [[611, "ivy.Array.stop_gradient"]], "stop_gradient() (ivy.container method)": [[611, "ivy.Container.stop_gradient"]], "value_and_grad() (in module ivy)": [[612, "ivy.value_and_grad"], [622, "ivy.value_and_grad"]], "ivy.functional.ivy.activations": [[613, "module-ivy.functional.ivy.activations"]], "e (in module ivy)": [[614, "ivy.e"]], "inf (in module ivy)": [[614, "ivy.inf"]], "ivy.functional.ivy.constants": [[614, "module-ivy.functional.ivy.constants"]], "nan (in module ivy)": [[614, "ivy.nan"]], "newaxis (in module ivy)": [[614, "ivy.newaxis"]], "pi (in module ivy)": [[614, "ivy.pi"]], "ivy.functional.ivy.control_flow_ops": [[615, "module-ivy.functional.ivy.control_flow_ops"]], "nestedsequence (class in ivy)": [[616, "ivy.NestedSequence"]], "ivy.functional.ivy.creation": [[616, "module-ivy.functional.ivy.creation"]], "defaultcomplexdtype (class in ivy)": [[617, "ivy.DefaultComplexDtype"]], "defaultdtype (class in ivy)": [[617, "ivy.DefaultDtype"]], "defaultfloatdtype (class in ivy)": [[617, "ivy.DefaultFloatDtype"]], "defaultintdtype (class in ivy)": [[617, "ivy.DefaultIntDtype"]], "defaultuintdtype (class in ivy)": [[617, "ivy.DefaultUintDtype"]], "ivy.functional.ivy.data_type": [[617, "module-ivy.functional.ivy.data_type"]], "defaultdevice (class in ivy)": [[618, "ivy.DefaultDevice"]], "profiler (class in ivy)": [[618, "ivy.Profiler"]], "ivy.functional.ivy.device": [[618, "module-ivy.functional.ivy.device"]], "ivy.functional.ivy.elementwise": [[619, "module-ivy.functional.ivy.elementwise"]], "ivy.functional.ivy.experimental": [[620, "module-ivy.functional.ivy.experimental"]], "arraymode (class in ivy)": [[621, "ivy.ArrayMode"]], "precisemode (class in ivy)": [[621, "ivy.PreciseMode"]], "ivy.functional.ivy.general": [[621, "module-ivy.functional.ivy.general"]], "ivy.functional.ivy.gradients": [[622, "module-ivy.functional.ivy.gradients"]], "conv() (in module ivy)": [[623, "ivy.conv"], [636, "ivy.conv"]], "conv1d() (in module ivy)": [[623, "ivy.conv1d"], [637, "ivy.conv1d"]], "conv1d_transpose() (in module ivy)": [[623, "ivy.conv1d_transpose"], [638, "ivy.conv1d_transpose"]], "conv2d() (in module ivy)": [[623, "ivy.conv2d"], [639, "ivy.conv2d"]], "conv2d_transpose() (in module ivy)": [[623, "ivy.conv2d_transpose"], [640, "ivy.conv2d_transpose"]], "conv3d() (in module ivy)": [[623, "ivy.conv3d"], [641, "ivy.conv3d"]], "conv3d_transpose() (in module ivy)": [[623, "ivy.conv3d_transpose"], [642, "ivy.conv3d_transpose"]], "conv_general_dilated() (in module ivy)": [[623, "ivy.conv_general_dilated"], [643, "ivy.conv_general_dilated"]], "conv_general_transpose() (in module ivy)": [[623, "ivy.conv_general_transpose"], [644, "ivy.conv_general_transpose"]], "depthwise_conv2d() (in module ivy)": [[623, "ivy.depthwise_conv2d"], [645, "ivy.depthwise_conv2d"]], "dropout() (in module ivy)": [[623, "ivy.dropout"], [646, "ivy.dropout"]], "ivy.functional.ivy.layers": [[623, "module-ivy.functional.ivy.layers"]], "linear() (in module ivy)": [[623, "ivy.linear"], [647, "ivy.linear"]], "lstm_update() (in module ivy)": [[623, "ivy.lstm_update"], [648, "ivy.lstm_update"]], "multi_head_attention() (in module ivy)": [[623, "ivy.multi_head_attention"], [649, "ivy.multi_head_attention"]], "nms() (in module ivy)": [[623, "ivy.nms"], [650, "ivy.nms"]], "roi_align() (in module ivy)": [[623, "ivy.roi_align"], [651, "ivy.roi_align"]], "scaled_dot_product_attention() (in module ivy)": [[623, "ivy.scaled_dot_product_attention"], [652, "ivy.scaled_dot_product_attention"]], "cholesky() (in module ivy)": [[624, "ivy.cholesky"], [653, "ivy.cholesky"]], "cross() (in module ivy)": [[624, "ivy.cross"], [654, "ivy.cross"]], "det() (in module ivy)": [[624, "ivy.det"], [655, "ivy.det"]], "diag() (in module ivy)": [[624, "ivy.diag"], [656, "ivy.diag"]], "diagonal() (in module ivy)": [[624, "ivy.diagonal"], [657, "ivy.diagonal"]], "eigh() (in module ivy)": [[624, "ivy.eigh"], [659, "ivy.eigh"]], "eigvalsh() (in module ivy)": [[624, "ivy.eigvalsh"], [660, "ivy.eigvalsh"]], "inner() (in module ivy)": [[624, "ivy.inner"], [661, "ivy.inner"]], "inv() (in module ivy)": [[624, "ivy.inv"], [662, "ivy.inv"]], "ivy.functional.ivy.linear_algebra": [[624, "module-ivy.functional.ivy.linear_algebra"]], "lu_factor() (in module ivy)": [[624, "ivy.lu_factor"], [663, "ivy.lu_factor"]], "matmul() (in module ivy)": [[624, "ivy.matmul"], [664, "ivy.matmul"]], "matrix_norm() (in module ivy)": [[624, "ivy.matrix_norm"], [665, "ivy.matrix_norm"]], "matrix_power() (in module ivy)": [[624, "ivy.matrix_power"], [666, "ivy.matrix_power"]], "matrix_rank() (in module ivy)": [[624, "ivy.matrix_rank"], [667, "ivy.matrix_rank"]], "matrix_transpose() (in module ivy)": [[624, "ivy.matrix_transpose"], [668, "ivy.matrix_transpose"]], "outer() (in module ivy)": [[624, "ivy.outer"], [669, "ivy.outer"]], "pinv() (in module ivy)": [[624, "ivy.pinv"], [670, "ivy.pinv"]], "qr() (in module ivy)": [[624, "ivy.qr"], [671, "ivy.qr"]], "slogdet() (in module ivy)": [[624, "ivy.slogdet"], [672, "ivy.slogdet"]], "solve() (in module ivy)": [[624, "ivy.solve"], [673, "ivy.solve"]], "svd() (in module ivy)": [[624, "ivy.svd"], [674, "ivy.svd"]], "svdvals() (in module ivy)": [[624, "ivy.svdvals"], [675, "ivy.svdvals"]], "tensordot() (in module ivy)": [[624, "ivy.tensordot"], [676, "ivy.tensordot"]], "tensorsolve() (in module ivy)": [[624, "ivy.tensorsolve"], [677, "ivy.tensorsolve"]], "trace() (in module ivy)": [[624, "ivy.trace"], [678, "ivy.trace"]], "vander() (in module ivy)": [[624, "ivy.vander"], [679, "ivy.vander"]], "vecdot() (in module ivy)": [[624, "ivy.vecdot"], [680, "ivy.vecdot"]], "vector_norm() (in module ivy)": [[624, "ivy.vector_norm"], [681, "ivy.vector_norm"]], "vector_to_skew_symmetric_matrix() (in module ivy)": [[624, "ivy.vector_to_skew_symmetric_matrix"], [682, "ivy.vector_to_skew_symmetric_matrix"]], "binary_cross_entropy() (in module ivy)": [[625, "ivy.binary_cross_entropy"], [683, "ivy.binary_cross_entropy"]], "cross_entropy() (in module ivy)": [[625, "ivy.cross_entropy"], [684, "ivy.cross_entropy"]], "ivy.functional.ivy.losses": [[625, "module-ivy.functional.ivy.losses"]], "sparse_cross_entropy() (in module ivy)": [[625, "ivy.sparse_cross_entropy"], [685, "ivy.sparse_cross_entropy"]], "clip() (in module ivy)": [[626, "ivy.clip"], [686, "ivy.clip"]], "concat() (in module ivy)": [[626, "ivy.concat"], [687, "ivy.concat"]], "constant_pad() (in module ivy)": [[626, "ivy.constant_pad"], [688, "ivy.constant_pad"]], "expand_dims() (in module ivy)": [[626, "ivy.expand_dims"], [689, "ivy.expand_dims"]], "flip() (in module ivy)": [[626, "ivy.flip"], [690, "ivy.flip"]], "ivy.functional.ivy.manipulation": [[626, "module-ivy.functional.ivy.manipulation"]], "permute_dims() (in module ivy)": [[626, "ivy.permute_dims"], [691, "ivy.permute_dims"]], "repeat() (in module ivy)": [[626, "ivy.repeat"], [692, "ivy.repeat"]], "reshape() (in module ivy)": [[626, "ivy.reshape"], [693, "ivy.reshape"]], "roll() (in module ivy)": [[626, "ivy.roll"], [694, "ivy.roll"]], "split() (in module ivy)": [[626, "ivy.split"], [695, "ivy.split"]], "squeeze() (in module ivy)": [[626, "ivy.squeeze"], [696, "ivy.squeeze"]], "stack() (in module ivy)": [[626, "ivy.stack"], [697, "ivy.stack"]], "swapaxes() (in module ivy)": [[626, "ivy.swapaxes"], [698, "ivy.swapaxes"]], "tile() (in module ivy)": [[626, "ivy.tile"], [699, "ivy.tile"]], "unstack() (in module ivy)": [[626, "ivy.unstack"], [700, "ivy.unstack"]], "zero_pad() (in module ivy)": [[626, "ivy.zero_pad"], [701, "ivy.zero_pad"]], "fomaml_step() (in module ivy)": [[627, "ivy.fomaml_step"], [702, "ivy.fomaml_step"]], "ivy.functional.ivy.meta": [[627, "module-ivy.functional.ivy.meta"]], "maml_step() (in module ivy)": [[627, "ivy.maml_step"], [703, "ivy.maml_step"]], "reptile_step() (in module ivy)": [[627, "ivy.reptile_step"], [704, "ivy.reptile_step"]], "all_nested_indices() (in module ivy)": [[628, "ivy.all_nested_indices"], [705, "ivy.all_nested_indices"]], "copy_nest() (in module ivy)": [[628, "ivy.copy_nest"], [706, "ivy.copy_nest"]], "duplicate_array_index_chains() (in module ivy)": [[628, "ivy.duplicate_array_index_chains"], [707, "ivy.duplicate_array_index_chains"]], "index_nest() (in module ivy)": [[628, "ivy.index_nest"], [708, "ivy.index_nest"]], "insert_into_nest_at_index() (in module ivy)": [[628, "ivy.insert_into_nest_at_index"], [709, "ivy.insert_into_nest_at_index"]], "insert_into_nest_at_indices() (in module ivy)": [[628, "ivy.insert_into_nest_at_indices"], [710, "ivy.insert_into_nest_at_indices"]], "ivy.functional.ivy.nest": [[628, "module-ivy.functional.ivy.nest"]], "map() (in module ivy)": [[628, "ivy.map"], [711, "ivy.map"]], "map_nest_at_index() (in module ivy)": [[628, "ivy.map_nest_at_index"], [712, "ivy.map_nest_at_index"]], "map_nest_at_indices() (in module ivy)": [[628, "ivy.map_nest_at_indices"], [713, "ivy.map_nest_at_indices"]], "multi_index_nest() (in module ivy)": [[628, "ivy.multi_index_nest"], [714, "ivy.multi_index_nest"]], "nested_any() (in module ivy)": [[628, "ivy.nested_any"], [715, "ivy.nested_any"]], "nested_argwhere() (in module ivy)": [[628, "ivy.nested_argwhere"], [716, "ivy.nested_argwhere"]], "nested_map() (in module ivy)": [[628, "ivy.nested_map"], [717, "ivy.nested_map"]], "nested_multi_map() (in module ivy)": [[628, "ivy.nested_multi_map"], [718, "ivy.nested_multi_map"]], "prune_empty() (in module ivy)": [[628, "ivy.prune_empty"], [719, "ivy.prune_empty"]], "prune_nest_at_index() (in module ivy)": [[628, "ivy.prune_nest_at_index"], [720, "ivy.prune_nest_at_index"]], "prune_nest_at_indices() (in module ivy)": [[628, "ivy.prune_nest_at_indices"], [721, "ivy.prune_nest_at_indices"]], "set_nest_at_index() (in module ivy)": [[628, "ivy.set_nest_at_index"], [722, "ivy.set_nest_at_index"]], "set_nest_at_indices() (in module ivy)": [[628, "ivy.set_nest_at_indices"], [723, "ivy.set_nest_at_indices"]], "ivy.functional.ivy.norms": [[629, "module-ivy.functional.ivy.norms"]], "layer_norm() (in module ivy)": [[629, "ivy.layer_norm"], [724, "ivy.layer_norm"]], "ivy.functional.ivy.random": [[630, "module-ivy.functional.ivy.random"]], "multinomial() (in module ivy)": [[630, "ivy.multinomial"], [725, "ivy.multinomial"]], "randint() (in module ivy)": [[630, "ivy.randint"], [726, "ivy.randint"]], "random_normal() (in module ivy)": [[630, "ivy.random_normal"], [727, "ivy.random_normal"]], "random_uniform() (in module ivy)": [[630, "ivy.random_uniform"], [728, "ivy.random_uniform"]], "seed() (in module ivy)": [[630, "ivy.seed"], [729, "ivy.seed"]], "shuffle() (in module ivy)": [[630, "ivy.shuffle"], [730, "ivy.shuffle"]], "argmax() (in module ivy)": [[631, "ivy.argmax"], [731, "ivy.argmax"]], "argmin() (in module ivy)": [[631, "ivy.argmin"], [732, "ivy.argmin"]], "argwhere() (in module ivy)": [[631, "ivy.argwhere"], [733, "ivy.argwhere"]], "ivy.functional.ivy.searching": [[631, "module-ivy.functional.ivy.searching"]], "nonzero() (in module ivy)": [[631, "ivy.nonzero"], [734, "ivy.nonzero"]], "where() (in module ivy)": [[631, "ivy.where"], [735, "ivy.where"]], "ivy.functional.ivy.set": [[632, "module-ivy.functional.ivy.set"]], "unique_all() (in module ivy)": [[632, "ivy.unique_all"], [736, "ivy.unique_all"]], "unique_counts() (in module ivy)": [[632, "ivy.unique_counts"], [737, "ivy.unique_counts"]], "unique_inverse() (in module ivy)": [[632, "ivy.unique_inverse"], [738, "ivy.unique_inverse"]], "unique_values() (in module ivy)": [[632, "ivy.unique_values"], [739, "ivy.unique_values"]], "argsort() (in module ivy)": [[633, "ivy.argsort"], [740, "ivy.argsort"]], "ivy.functional.ivy.sorting": [[633, "module-ivy.functional.ivy.sorting"]], "msort() (in module ivy)": [[633, "ivy.msort"], [741, "ivy.msort"]], "searchsorted() (in module ivy)": [[633, "ivy.searchsorted"], [742, "ivy.searchsorted"]], "sort() (in module ivy)": [[633, "ivy.sort"], [743, "ivy.sort"]], "cumprod() (in module ivy)": [[634, "ivy.cumprod"], [744, "ivy.cumprod"]], "cumsum() (in module ivy)": [[634, "ivy.cumsum"], [745, "ivy.cumsum"]], "einsum() (in module ivy)": [[634, "ivy.einsum"], [746, "ivy.einsum"]], "ivy.functional.ivy.statistical": [[634, "module-ivy.functional.ivy.statistical"]], "max() (in module ivy)": [[634, "ivy.max"], [747, "ivy.max"]], "mean() (in module ivy)": [[634, "ivy.mean"], [748, "ivy.mean"]], "min() (in module ivy)": [[634, "ivy.min"], [749, "ivy.min"]], "prod() (in module ivy)": [[634, "ivy.prod"], [750, "ivy.prod"]], "std() (in module ivy)": [[634, "ivy.std"], [751, "ivy.std"]], "sum() (in module ivy)": [[634, "ivy.sum"], [752, "ivy.sum"]], "var() (in module ivy)": [[634, "ivy.var"], [753, "ivy.var"]], "all() (in module ivy)": [[635, "ivy.all"], [754, "ivy.all"]], "any() (in module ivy)": [[635, "ivy.any"], [755, "ivy.any"]], "ivy.functional.ivy.utility": [[635, "module-ivy.functional.ivy.utility"]], "load() (in module ivy)": [[635, "ivy.load"], [756, "ivy.load"]], "save() (in module ivy)": [[635, "ivy.save"], [757, "ivy.save"]], "conv1d() (ivy.array method)": [[637, "ivy.Array.conv1d"]], "conv1d() (ivy.container method)": [[637, "ivy.Container.conv1d"]], "conv1d_transpose() (ivy.array method)": [[638, "ivy.Array.conv1d_transpose"]], "conv1d_transpose() (ivy.container method)": [[638, "ivy.Container.conv1d_transpose"]], "conv2d() (ivy.array method)": [[639, "ivy.Array.conv2d"]], "conv2d() (ivy.container method)": [[639, "ivy.Container.conv2d"]], "conv2d_transpose() (ivy.array method)": [[640, "ivy.Array.conv2d_transpose"]], "conv2d_transpose() (ivy.container method)": [[640, "ivy.Container.conv2d_transpose"]], "conv3d() (ivy.array method)": [[641, "ivy.Array.conv3d"]], "conv3d() (ivy.container method)": [[641, "ivy.Container.conv3d"]], "conv3d_transpose() (ivy.array method)": [[642, "ivy.Array.conv3d_transpose"]], "conv3d_transpose() (ivy.container method)": [[642, "ivy.Container.conv3d_transpose"]], "depthwise_conv2d() (ivy.array method)": [[645, "ivy.Array.depthwise_conv2d"]], "depthwise_conv2d() (ivy.container method)": [[645, "ivy.Container.depthwise_conv2d"]], "dropout() (ivy.array method)": [[646, "ivy.Array.dropout"]], "dropout() (ivy.container method)": [[646, "ivy.Container.dropout"]], "linear() (ivy.array method)": [[647, "ivy.Array.linear"]], "linear() (ivy.container method)": [[647, "ivy.Container.linear"]], "lstm_update() (ivy.array method)": [[648, "ivy.Array.lstm_update"]], "lstm_update() (ivy.container method)": [[648, "ivy.Container.lstm_update"]], "multi_head_attention() (ivy.array method)": [[649, "ivy.Array.multi_head_attention"]], "multi_head_attention() (ivy.container method)": [[649, "ivy.Container.multi_head_attention"]], "scaled_dot_product_attention() (ivy.array method)": [[652, "ivy.Array.scaled_dot_product_attention"]], "scaled_dot_product_attention() (ivy.container method)": [[652, "ivy.Container.scaled_dot_product_attention"]], "cholesky() (ivy.array method)": [[653, "ivy.Array.cholesky"]], "cholesky() (ivy.container method)": [[653, "ivy.Container.cholesky"]], "cross() (ivy.array method)": [[654, "ivy.Array.cross"]], "cross() (ivy.container method)": [[654, "ivy.Container.cross"]], "det() (ivy.array method)": [[655, "ivy.Array.det"]], "det() (ivy.container method)": [[655, "ivy.Container.det"]], "diag() (ivy.array method)": [[656, "ivy.Array.diag"]], "diag() (ivy.container method)": [[656, "ivy.Container.diag"]], "diagonal() (ivy.array method)": [[657, "ivy.Array.diagonal"]], "diagonal() (ivy.container method)": [[657, "ivy.Container.diagonal"]], "eigh() (ivy.array method)": [[659, "ivy.Array.eigh"]], "eigh() (ivy.container method)": [[659, "ivy.Container.eigh"]], "eigvalsh() (ivy.array method)": [[660, "ivy.Array.eigvalsh"]], "eigvalsh() (ivy.container method)": [[660, "ivy.Container.eigvalsh"]], "inner() (ivy.array method)": [[661, "ivy.Array.inner"]], "inner() (ivy.container method)": [[661, "ivy.Container.inner"]], "inv() (ivy.array method)": [[662, "ivy.Array.inv"]], "inv() (ivy.container method)": [[662, "ivy.Container.inv"]], "matmul() (ivy.array method)": [[664, "ivy.Array.matmul"]], "matmul() (ivy.container method)": [[664, "ivy.Container.matmul"]], "matrix_norm() (ivy.array method)": [[665, "ivy.Array.matrix_norm"]], "matrix_norm() (ivy.container method)": [[665, "ivy.Container.matrix_norm"]], "matrix_power() (ivy.array method)": [[666, "ivy.Array.matrix_power"]], "matrix_power() (ivy.container method)": [[666, "ivy.Container.matrix_power"]], "matrix_rank() (ivy.array method)": [[667, "ivy.Array.matrix_rank"]], "matrix_rank() (ivy.container method)": [[667, "ivy.Container.matrix_rank"]], "matrix_transpose() (ivy.array method)": [[668, "ivy.Array.matrix_transpose"]], "matrix_transpose() (ivy.container method)": [[668, "ivy.Container.matrix_transpose"]], "outer() (ivy.array method)": [[669, "ivy.Array.outer"]], "outer() (ivy.container method)": [[669, "ivy.Container.outer"]], "pinv() (ivy.array method)": [[670, "ivy.Array.pinv"]], "pinv() (ivy.container method)": [[670, "ivy.Container.pinv"]], "qr() (ivy.array method)": [[671, "ivy.Array.qr"]], "qr() (ivy.container method)": [[671, "ivy.Container.qr"]], "slogdet() (ivy.array method)": [[672, "ivy.Array.slogdet"]], "slogdet() (ivy.container method)": [[672, "ivy.Container.slogdet"]], "solve() (ivy.array method)": [[673, "ivy.Array.solve"]], "solve() (ivy.container method)": [[673, "ivy.Container.solve"]], "svd() (ivy.array method)": [[674, "ivy.Array.svd"]], "svd() (ivy.container method)": [[674, "ivy.Container.svd"]], "svdvals() (ivy.array method)": [[675, "ivy.Array.svdvals"]], "svdvals() (ivy.container method)": [[675, "ivy.Container.svdvals"]], "tensordot() (ivy.array method)": [[676, "ivy.Array.tensordot"]], "tensordot() (ivy.container method)": [[676, "ivy.Container.tensordot"]], "tensorsolve() (ivy.array method)": [[677, "ivy.Array.tensorsolve"]], "tensorsolve() (ivy.container method)": [[677, "ivy.Container.tensorsolve"]], "trace() (ivy.array method)": [[678, "ivy.Array.trace"]], "trace() (ivy.container method)": [[678, "ivy.Container.trace"]], "vander() (ivy.array method)": [[679, "ivy.Array.vander"]], "vander() (ivy.container method)": [[679, "ivy.Container.vander"]], "vecdot() (ivy.array method)": [[680, "ivy.Array.vecdot"]], "vecdot() (ivy.container method)": [[680, "ivy.Container.vecdot"]], "vector_norm() (ivy.array method)": [[681, "ivy.Array.vector_norm"]], "vector_norm() (ivy.container method)": [[681, "ivy.Container.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.array method)": [[682, "ivy.Array.vector_to_skew_symmetric_matrix"]], "vector_to_skew_symmetric_matrix() (ivy.container method)": [[682, "ivy.Container.vector_to_skew_symmetric_matrix"]], "binary_cross_entropy() (ivy.array method)": [[683, "ivy.Array.binary_cross_entropy"]], "binary_cross_entropy() (ivy.container method)": [[683, "ivy.Container.binary_cross_entropy"]], "cross_entropy() (ivy.array method)": [[684, "ivy.Array.cross_entropy"]], "cross_entropy() (ivy.container method)": [[684, "ivy.Container.cross_entropy"]], "sparse_cross_entropy() (ivy.array method)": [[685, "ivy.Array.sparse_cross_entropy"]], "sparse_cross_entropy() (ivy.container method)": [[685, "ivy.Container.sparse_cross_entropy"]], "clip() (ivy.array method)": [[686, "ivy.Array.clip"]], "clip() (ivy.container method)": [[686, "ivy.Container.clip"]], "concat() (ivy.array method)": [[687, "ivy.Array.concat"]], "concat() (ivy.container method)": [[687, "ivy.Container.concat"]], "constant_pad() (ivy.array method)": [[688, "ivy.Array.constant_pad"]], "constant_pad() (ivy.container method)": [[688, "ivy.Container.constant_pad"]], "expand_dims() (ivy.array method)": [[689, "ivy.Array.expand_dims"]], "expand_dims() (ivy.container method)": [[689, "ivy.Container.expand_dims"]], "flip() (ivy.array method)": [[690, "ivy.Array.flip"]], "flip() (ivy.container method)": [[690, "ivy.Container.flip"]], "permute_dims() (ivy.array method)": [[691, "ivy.Array.permute_dims"]], "permute_dims() (ivy.container method)": [[691, "ivy.Container.permute_dims"]], "repeat() (ivy.array method)": [[692, "ivy.Array.repeat"]], "repeat() (ivy.container method)": [[692, "ivy.Container.repeat"]], "reshape() (ivy.array method)": [[693, "ivy.Array.reshape"]], "reshape() (ivy.container method)": [[693, "ivy.Container.reshape"]], "roll() (ivy.array method)": [[694, "ivy.Array.roll"]], "roll() (ivy.container method)": [[694, "ivy.Container.roll"]], "split() (ivy.array method)": [[695, "ivy.Array.split"]], "split() (ivy.container method)": [[695, "ivy.Container.split"]], "squeeze() (ivy.array method)": [[696, "ivy.Array.squeeze"]], "squeeze() (ivy.container method)": [[696, "ivy.Container.squeeze"]], "stack() (ivy.array method)": [[697, "ivy.Array.stack"]], "stack() (ivy.container method)": [[697, "ivy.Container.stack"]], "swapaxes() (ivy.array method)": [[698, "ivy.Array.swapaxes"]], "swapaxes() (ivy.container method)": [[698, "ivy.Container.swapaxes"]], "tile() (ivy.array method)": [[699, "ivy.Array.tile"]], "tile() (ivy.container method)": [[699, "ivy.Container.tile"]], "unstack() (ivy.array method)": [[700, "ivy.Array.unstack"]], "unstack() (ivy.container method)": [[700, "ivy.Container.unstack"]], "zero_pad() (ivy.array method)": [[701, "ivy.Array.zero_pad"]], "zero_pad() (ivy.container method)": [[701, "ivy.Container.zero_pad"]], "layer_norm() (ivy.array method)": [[724, "ivy.Array.layer_norm"]], "layer_norm() (ivy.container method)": [[724, "ivy.Container.layer_norm"]], "multinomial() (ivy.array method)": [[725, "ivy.Array.multinomial"]], "multinomial() (ivy.container method)": [[725, "ivy.Container.multinomial"]], "randint() (ivy.array method)": [[726, "ivy.Array.randint"]], "randint() (ivy.container method)": [[726, "ivy.Container.randint"]], "random_normal() (ivy.array method)": [[727, "ivy.Array.random_normal"]], "random_normal() (ivy.container method)": [[727, "ivy.Container.random_normal"]], "random_uniform() (ivy.array method)": [[728, "ivy.Array.random_uniform"]], "random_uniform() (ivy.container method)": [[728, "ivy.Container.random_uniform"]], "shuffle() (ivy.array method)": [[730, "ivy.Array.shuffle"]], "shuffle() (ivy.container method)": [[730, "ivy.Container.shuffle"]], "argmax() (ivy.array method)": [[731, "ivy.Array.argmax"]], "argmax() (ivy.container method)": [[731, "ivy.Container.argmax"]], "argmin() (ivy.array method)": [[732, "ivy.Array.argmin"]], "argmin() (ivy.container method)": [[732, "ivy.Container.argmin"]], "argwhere() (ivy.array method)": [[733, "ivy.Array.argwhere"]], "argwhere() (ivy.container method)": [[733, "ivy.Container.argwhere"]], "nonzero() (ivy.array method)": [[734, "ivy.Array.nonzero"]], "nonzero() (ivy.container method)": [[734, "ivy.Container.nonzero"]], "where() (ivy.array method)": [[735, "ivy.Array.where"]], "where() (ivy.container method)": [[735, "ivy.Container.where"]], "unique_all() (ivy.array method)": [[736, "ivy.Array.unique_all"]], "unique_all() (ivy.container method)": [[736, "ivy.Container.unique_all"]], "unique_counts() (ivy.array method)": [[737, "ivy.Array.unique_counts"]], "unique_counts() (ivy.container method)": [[737, "ivy.Container.unique_counts"]], "unique_inverse() (ivy.array method)": [[738, "ivy.Array.unique_inverse"]], "unique_inverse() (ivy.container method)": [[738, "ivy.Container.unique_inverse"]], "unique_values() (ivy.array method)": [[739, "ivy.Array.unique_values"]], "unique_values() (ivy.container method)": [[739, "ivy.Container.unique_values"]], "argsort() (ivy.array method)": [[740, "ivy.Array.argsort"]], "argsort() (ivy.container method)": [[740, "ivy.Container.argsort"]], "msort() (ivy.array method)": [[741, "ivy.Array.msort"]], "msort() (ivy.container method)": [[741, "ivy.Container.msort"]], "searchsorted() (ivy.array method)": [[742, "ivy.Array.searchsorted"]], "searchsorted() (ivy.container method)": [[742, "ivy.Container.searchsorted"]], "sort() (ivy.array method)": [[743, "ivy.Array.sort"]], "sort() (ivy.container method)": [[743, "ivy.Container.sort"]], "cumprod() (ivy.array method)": [[744, "ivy.Array.cumprod"]], "cumprod() (ivy.container method)": [[744, "ivy.Container.cumprod"]], "cumsum() (ivy.array method)": [[745, "ivy.Array.cumsum"]], "cumsum() (ivy.container method)": [[745, "ivy.Container.cumsum"]], "einsum() (ivy.array method)": [[746, "ivy.Array.einsum"]], "einsum() (ivy.container method)": [[746, "ivy.Container.einsum"]], "max() (ivy.array method)": [[747, "ivy.Array.max"]], "max() (ivy.container method)": [[747, "ivy.Container.max"]], "mean() (ivy.array method)": [[748, "ivy.Array.mean"]], "mean() (ivy.container method)": [[748, "ivy.Container.mean"]], "min() (ivy.array method)": [[749, "ivy.Array.min"]], "min() (ivy.container method)": [[749, "ivy.Container.min"]], "prod() (ivy.array method)": [[750, "ivy.Array.prod"]], "prod() (ivy.container method)": [[750, "ivy.Container.prod"]], "std() (ivy.array method)": [[751, "ivy.Array.std"]], "std() (ivy.container method)": [[751, "ivy.Container.std"]], "sum() (ivy.array method)": [[752, "ivy.Array.sum"]], "sum() (ivy.container method)": [[752, "ivy.Container.sum"]], "var() (ivy.array method)": [[753, "ivy.Array.var"]], "var() (ivy.container method)": [[753, "ivy.Container.var"]], "all() (ivy.array method)": [[754, "ivy.Array.all"]], "all() (ivy.container method)": [[754, "ivy.Container.all"]], "any() (ivy.array method)": [[755, "ivy.Array.any"]], "any() (ivy.container method)": [[755, "ivy.Container.any"]], "assert_all_close() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_all_close"]], "assert_same_type() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_same_type"]], "assert_same_type_and_shape() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_same_type_and_shape"]], "check_unsupported_device() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_device"]], "check_unsupported_device_and_dtype() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_device_and_dtype"]], "check_unsupported_dtype() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_dtype"]], "ivy_tests.test_ivy.helpers.assertions": [[758, "module-ivy_tests.test_ivy.helpers.assertions"]], "test_unsupported_function() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.test_unsupported_function"]], "value_test() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.value_test"]], "ivy_tests.test_ivy.helpers.available_frameworks": [[759, "module-ivy_tests.test_ivy.helpers.available_frameworks"]], "args_to_container() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.args_to_container"]], "args_to_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.args_to_frontend"]], "arrays_to_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.arrays_to_frontend"]], "as_lists() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.as_lists"]], "convtrue() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.convtrue"]], "create_args_kwargs() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.create_args_kwargs"]], "flatten() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten"]], "flatten_and_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_and_to_np"]], "flatten_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend"]], "flatten_frontend_fw_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend_fw_to_np"]], "flatten_frontend_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend_to_np"]], "get_frontend_ret() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.get_frontend_ret"]], "get_ret_and_flattened_np_array() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.get_ret_and_flattened_np_array"]], "gradient_incompatible_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_incompatible_function"]], "gradient_test() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_test"]], "gradient_unsupported_dtypes() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_unsupported_dtypes"]], "ivy_tests.test_ivy.helpers.function_testing": [[760, "module-ivy_tests.test_ivy.helpers.function_testing"]], "kwargs_to_args_n_kwargs() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.kwargs_to_args_n_kwargs"]], "test_frontend_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_frontend_function"]], "test_frontend_method() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_frontend_method"]], "test_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function"]], "test_function_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function_backend_computation"]], "test_function_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function_ground_truth_computation"]], "test_gradient_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_gradient_backend_computation"]], "test_gradient_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_gradient_ground_truth_computation"]], "test_method() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method"]], "test_method_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method_backend_computation"]], "test_method_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method_ground_truth_computation"]], "traced_if_required() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.traced_if_required"]], "wrap_frontend_function_args() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.wrap_frontend_function_args"]], "current_frontend_config (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG"]], "interruptedtest": [[761, "ivy_tests.test_ivy.helpers.globals.InterruptedTest"]], "testdata (class in ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData"]], "__init__() (ivy_tests.test_ivy.helpers.globals.interruptedtest method)": [[761, "ivy_tests.test_ivy.helpers.globals.InterruptedTest.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.globals.testdata method)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.__init__"]], "fn_name (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.fn_name"]], "fn_tree (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.fn_tree"]], "is_method (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.is_method"]], "ivy_tests.test_ivy.helpers.globals": [[761, "module-ivy_tests.test_ivy.helpers.globals"]], "setup_api_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.setup_api_test"]], "setup_frontend_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.setup_frontend_test"]], "supported_device_dtypes (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.supported_device_dtypes"]], "teardown_api_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.teardown_api_test"]], "teardown_frontend_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.teardown_frontend_test"]], "test_fn (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.test_fn"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers": [[762, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers"]], "array_and_broadcastable_shape() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_and_broadcastable_shape"]], "array_bools() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_bools"]], "array_helpers_dtype_info_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_helpers_dtype_info_helper"]], "array_indices_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_indices_axis"]], "array_indices_put_along_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_indices_put_along_axis"]], "array_values() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_values"]], "arrays_and_axes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.arrays_and_axes"]], "arrays_for_pooling() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.arrays_for_pooling"]], "broadcast_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.broadcast_shapes"]], "cond_data_gen_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.cond_data_gen_helper"]], "create_concatenable_arrays_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.create_concatenable_arrays_dtypes"]], "create_nested_input() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.create_nested_input"]], "dtype_and_values() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_and_values"]], "dtype_array_query() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_array_query"]], "dtype_array_query_val() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_array_query_val"]], "dtype_values_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_values_axis"]], "einsum_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.einsum_helper"]], "get_first_solve_batch_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_first_solve_batch_matrix"]], "get_first_solve_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_first_solve_matrix"]], "get_second_solve_batch_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_second_solve_batch_matrix"]], "get_second_solve_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_second_solve_matrix"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers": [[763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"]], "list_of_size() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.list_of_size"]], "lists() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.lists"]], "mutually_broadcastable_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.mutually_broadcastable_shapes"]], "prod() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.prod"]], "array_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.array_dtypes"]], "cast_filter() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.cast_filter"]], "cast_filter_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.cast_filter_helper"]], "get_castable_dtype() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.get_castable_dtype"]], "get_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.get_dtypes"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers": [[764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"]], "broadcasterror": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.BroadcastError"]], "apply_safety_factor() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.apply_safety_factor"]], "broadcast_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.broadcast_shapes"]], "embedding_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.embedding_helper"]], "general_helpers_dtype_info_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.general_helpers_dtype_info_helper"]], "get_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_axis"]], "get_bounds() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_bounds"]], "get_mean_std() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_mean_std"]], "get_shape() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_shape"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers": [[765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"]], "matrix_is_stable() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.matrix_is_stable"]], "reshape_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.reshape_shapes"]], "subsets() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.subsets"]], "two_broadcastable_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.two_broadcastable_shapes"]], "x_and_filters() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.x_and_filters"]], "floats() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.floats"]], "ints() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.ints"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers": [[766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"]], "number() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.number"]], "backend_proc() (in module ivy_tests.test_ivy.helpers.multiprocessing)": [[767, "ivy_tests.test_ivy.helpers.multiprocessing.backend_proc"]], "frontend_proc() (in module ivy_tests.test_ivy.helpers.multiprocessing)": [[767, "ivy_tests.test_ivy.helpers.multiprocessing.frontend_proc"]], "ivy_tests.test_ivy.helpers.multiprocessing": [[767, "module-ivy_tests.test_ivy.helpers.multiprocessing"]], "backendhandler (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler"]], "backendhandlermode (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode"]], "setbackend (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandlermode attribute)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode.SetBackend"]], "withbackend (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandlermode attribute)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode.WithBackend"]], "withbackendcontext (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext"]], "__init__() (ivy_tests.test_ivy.helpers.pipeline_helper.withbackendcontext method)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext.__init__"]], "get_frontend_config() (in module ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.get_frontend_config"]], "ivy_tests.test_ivy.helpers.pipeline_helper": [[768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"]], "update_backend() (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandler class method)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler.update_backend"]], "frontendmethoddata (class in ivy_tests.test_ivy.helpers.structs)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData"]], "__init__() (ivy_tests.test_ivy.helpers.structs.frontendmethoddata method)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.__init__"]], "framework_init_module (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.framework_init_module"]], "init_name (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.init_name"]], "ivy_init_module (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.ivy_init_module"]], "ivy_tests.test_ivy.helpers.structs": [[769, "module-ivy_tests.test_ivy.helpers.structs"]], "method_name (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.method_name"]], "dynamicflag (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag"]], "frontendfunctiontestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags"]], "frontendinittestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags"]], "frontendmethodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags"]], "functiontestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags"]], "initmethodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags"]], "methodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags"]], "testflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.dynamicflag method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendfunctiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendinittestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.functiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.initmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.methodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags.__init__"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendfunctiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendinittestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.functiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.initmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.methodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.testflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags.apply_flags"]], "build_flag() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.build_flag"]], "frontend_function_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_function_flags"]], "frontend_init_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_init_flags"]], "frontend_method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_method_flags"]], "function_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.function_flags"]], "init_method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.init_method_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags": [[770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"]], "method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.method_flags"]], "strategy (ivy_tests.test_ivy.helpers.test_parameter_flags.dynamicflag attribute)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag.strategy"]], "handle_frontend_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_frontend_method"]], "handle_frontend_test() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_frontend_test"]], "handle_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_method"]], "handle_test() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_test"]], "ivy_tests.test_ivy.helpers.testing_helpers": [[771, "module-ivy_tests.test_ivy.helpers.testing_helpers"]], "num_positional_args() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args"]], "num_positional_args_helper() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args_helper"]], "num_positional_args_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args_method"]], "seed() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.seed"]], "elu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ELU"]], "geglu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.GEGLU"]], "gelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.GELU"]], "hardswish (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Hardswish"]], "leakyrelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LeakyReLU"]], "logsigmoid (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LogSigmoid"]], "logsoftmax (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LogSoftmax"]], "logit (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Logit"]], "mish (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Mish"]], "prelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.PReLU"]], "relu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ReLU"]], "relu6 (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ReLU6"]], "selu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.SeLU"]], "silu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.SiLU"]], "sigmoid (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Sigmoid"]], "softmax (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Softmax"]], "softplus (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Softplus"]], "tanh (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Tanh"]], "__init__() (ivy.stateful.activations.elu method)": [[775, "ivy.stateful.activations.ELU.__init__"]], "__init__() (ivy.stateful.activations.geglu method)": [[775, "ivy.stateful.activations.GEGLU.__init__"]], "__init__() (ivy.stateful.activations.gelu method)": [[775, "ivy.stateful.activations.GELU.__init__"]], "__init__() (ivy.stateful.activations.hardswish method)": [[775, "ivy.stateful.activations.Hardswish.__init__"]], "__init__() (ivy.stateful.activations.leakyrelu method)": [[775, "ivy.stateful.activations.LeakyReLU.__init__"]], "__init__() (ivy.stateful.activations.logsigmoid method)": [[775, "ivy.stateful.activations.LogSigmoid.__init__"]], "__init__() (ivy.stateful.activations.logsoftmax method)": [[775, "ivy.stateful.activations.LogSoftmax.__init__"]], "__init__() (ivy.stateful.activations.logit method)": [[775, "ivy.stateful.activations.Logit.__init__"]], "__init__() (ivy.stateful.activations.mish method)": [[775, "ivy.stateful.activations.Mish.__init__"]], "__init__() (ivy.stateful.activations.prelu method)": [[775, "ivy.stateful.activations.PReLU.__init__"]], "__init__() (ivy.stateful.activations.relu method)": [[775, "ivy.stateful.activations.ReLU.__init__"]], "__init__() (ivy.stateful.activations.relu6 method)": [[775, "ivy.stateful.activations.ReLU6.__init__"]], "__init__() (ivy.stateful.activations.selu method)": [[775, "ivy.stateful.activations.SeLU.__init__"]], "__init__() (ivy.stateful.activations.silu method)": [[775, "ivy.stateful.activations.SiLU.__init__"]], "__init__() (ivy.stateful.activations.sigmoid method)": [[775, "ivy.stateful.activations.Sigmoid.__init__"]], "__init__() (ivy.stateful.activations.softmax method)": [[775, "ivy.stateful.activations.Softmax.__init__"]], "__init__() (ivy.stateful.activations.softplus method)": [[775, "ivy.stateful.activations.Softplus.__init__"]], "__init__() (ivy.stateful.activations.tanh method)": [[775, "ivy.stateful.activations.Tanh.__init__"]], "ivy.stateful.activations": [[775, "module-ivy.stateful.activations"]], "moduleconverters (class in ivy.stateful.converters)": [[776, "ivy.stateful.converters.ModuleConverters"]], "from_flax_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_flax_module"]], "from_haiku_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_haiku_module"]], "from_keras_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_keras_module"]], "from_paddle_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_paddle_module"]], "from_torch_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_torch_module"]], "ivy.stateful.converters": [[776, "module-ivy.stateful.converters"]], "to_ivy_module() (in module ivy.stateful.converters)": [[776, "ivy.stateful.converters.to_ivy_module"]], "to_keras_module() (ivy.stateful.converters.moduleconverters method)": [[776, "ivy.stateful.converters.ModuleConverters.to_keras_module"]], "modulehelpers (class in ivy.stateful.helpers)": [[777, "ivy.stateful.helpers.ModuleHelpers"]], "ivy.stateful.helpers": [[777, "module-ivy.stateful.helpers"]], "constant (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Constant"]], "firstlayersiren (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.FirstLayerSiren"]], "glorotuniform (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.GlorotUniform"]], "initializer (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Initializer"]], "kaimingnormal (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.KaimingNormal"]], "ones (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Ones"]], "randomnormal (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.RandomNormal"]], "siren (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Siren"]], "uniform (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Uniform"]], "zeros (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Zeros"]], "__init__() (ivy.stateful.initializers.constant method)": [[778, "ivy.stateful.initializers.Constant.__init__"]], "__init__() (ivy.stateful.initializers.firstlayersiren method)": [[778, "ivy.stateful.initializers.FirstLayerSiren.__init__"]], "__init__() (ivy.stateful.initializers.glorotuniform method)": [[778, "ivy.stateful.initializers.GlorotUniform.__init__"]], "__init__() (ivy.stateful.initializers.kaimingnormal method)": [[778, "ivy.stateful.initializers.KaimingNormal.__init__"]], "__init__() (ivy.stateful.initializers.ones method)": [[778, "ivy.stateful.initializers.Ones.__init__"]], "__init__() (ivy.stateful.initializers.randomnormal method)": [[778, "ivy.stateful.initializers.RandomNormal.__init__"]], "__init__() (ivy.stateful.initializers.siren method)": [[778, "ivy.stateful.initializers.Siren.__init__"]], "__init__() (ivy.stateful.initializers.uniform method)": [[778, "ivy.stateful.initializers.Uniform.__init__"]], "__init__() (ivy.stateful.initializers.zeros method)": [[778, "ivy.stateful.initializers.Zeros.__init__"]], "create_variables() (ivy.stateful.initializers.constant method)": [[778, "ivy.stateful.initializers.Constant.create_variables"]], "create_variables() (ivy.stateful.initializers.initializer method)": [[778, "ivy.stateful.initializers.Initializer.create_variables"]], "create_variables() (ivy.stateful.initializers.kaimingnormal method)": [[778, "ivy.stateful.initializers.KaimingNormal.create_variables"]], "create_variables() (ivy.stateful.initializers.randomnormal method)": [[778, "ivy.stateful.initializers.RandomNormal.create_variables"]], "create_variables() (ivy.stateful.initializers.uniform method)": [[778, "ivy.stateful.initializers.Uniform.create_variables"]], "ivy.stateful.initializers": [[778, "module-ivy.stateful.initializers"]], "adaptiveavgpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AdaptiveAvgPool1d"]], "adaptiveavgpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AdaptiveAvgPool2d"]], "avgpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool1D"]], "avgpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool2D"]], "avgpool3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool3D"]], "conv1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv1D"]], "conv1dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv1DTranspose"]], "conv2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv2D"]], "conv2dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv2DTranspose"]], "conv3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv3D"]], "conv3dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv3DTranspose"]], "dct (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Dct"]], "depthwiseconv2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.DepthwiseConv2D"]], "dropout (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Dropout"]], "embedding (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Embedding"]], "fft (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.FFT"]], "ifft (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.IFFT"]], "identity (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Identity"]], "lstm (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.LSTM"]], "linear (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Linear"]], "maxpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool1D"]], "maxpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool2D"]], "maxpool3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool3D"]], "multiheadattention (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MultiHeadAttention"]], "__init__() (ivy.stateful.layers.adaptiveavgpool1d method)": [[779, "ivy.stateful.layers.AdaptiveAvgPool1d.__init__"]], "__init__() (ivy.stateful.layers.adaptiveavgpool2d method)": [[779, "ivy.stateful.layers.AdaptiveAvgPool2d.__init__"]], "__init__() (ivy.stateful.layers.avgpool1d method)": [[779, "ivy.stateful.layers.AvgPool1D.__init__"]], "__init__() (ivy.stateful.layers.avgpool2d method)": [[779, "ivy.stateful.layers.AvgPool2D.__init__"]], "__init__() (ivy.stateful.layers.avgpool3d method)": [[779, "ivy.stateful.layers.AvgPool3D.__init__"]], "__init__() (ivy.stateful.layers.conv1d method)": [[779, "ivy.stateful.layers.Conv1D.__init__"]], "__init__() (ivy.stateful.layers.conv1dtranspose method)": [[779, "ivy.stateful.layers.Conv1DTranspose.__init__"]], "__init__() (ivy.stateful.layers.conv2d method)": [[779, "ivy.stateful.layers.Conv2D.__init__"]], "__init__() (ivy.stateful.layers.conv2dtranspose method)": [[779, "ivy.stateful.layers.Conv2DTranspose.__init__"]], "__init__() (ivy.stateful.layers.conv3d method)": [[779, "ivy.stateful.layers.Conv3D.__init__"]], "__init__() (ivy.stateful.layers.conv3dtranspose method)": [[779, "ivy.stateful.layers.Conv3DTranspose.__init__"]], "__init__() (ivy.stateful.layers.dct method)": [[779, "ivy.stateful.layers.Dct.__init__"]], "__init__() (ivy.stateful.layers.depthwiseconv2d method)": [[779, "ivy.stateful.layers.DepthwiseConv2D.__init__"]], "__init__() (ivy.stateful.layers.dropout method)": [[779, "ivy.stateful.layers.Dropout.__init__"]], "__init__() (ivy.stateful.layers.embedding method)": [[779, "ivy.stateful.layers.Embedding.__init__"]], "__init__() (ivy.stateful.layers.fft method)": [[779, "ivy.stateful.layers.FFT.__init__"]], "__init__() (ivy.stateful.layers.ifft method)": [[779, "ivy.stateful.layers.IFFT.__init__"]], "__init__() (ivy.stateful.layers.identity method)": [[779, "ivy.stateful.layers.Identity.__init__"]], "__init__() (ivy.stateful.layers.lstm method)": [[779, "ivy.stateful.layers.LSTM.__init__"]], "__init__() (ivy.stateful.layers.linear method)": [[779, "ivy.stateful.layers.Linear.__init__"]], "__init__() (ivy.stateful.layers.maxpool1d method)": [[779, "ivy.stateful.layers.MaxPool1D.__init__"]], "__init__() (ivy.stateful.layers.maxpool2d method)": [[779, "ivy.stateful.layers.MaxPool2D.__init__"]], "__init__() (ivy.stateful.layers.maxpool3d method)": [[779, "ivy.stateful.layers.MaxPool3D.__init__"]], "__init__() (ivy.stateful.layers.multiheadattention method)": [[779, "ivy.stateful.layers.MultiHeadAttention.__init__"]], "get_initial_state() (ivy.stateful.layers.lstm method)": [[779, "ivy.stateful.layers.LSTM.get_initial_state"]], "ivy.stateful.layers": [[779, "module-ivy.stateful.layers"]], "binarycrossentropyloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.BinaryCrossEntropyLoss"]], "crossentropyloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.CrossEntropyLoss"]], "logpoissonloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.LogPoissonLoss"]], "__init__() (ivy.stateful.losses.binarycrossentropyloss method)": [[780, "ivy.stateful.losses.BinaryCrossEntropyLoss.__init__"]], "__init__() (ivy.stateful.losses.crossentropyloss method)": [[780, "ivy.stateful.losses.CrossEntropyLoss.__init__"]], "__init__() (ivy.stateful.losses.logpoissonloss method)": [[780, "ivy.stateful.losses.LogPoissonLoss.__init__"]], "ivy.stateful.losses": [[780, "module-ivy.stateful.losses"]], "module (class in ivy.stateful.module)": [[781, "ivy.stateful.module.Module"]], "modulemeta (class in ivy.stateful.module)": [[781, "ivy.stateful.module.ModuleMeta"]], "__call__() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.__call__"]], "__init__() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.__init__"]], "buffers (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.buffers"]], "build() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.build"]], "build_mode (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.build_mode"]], "built (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.built"]], "device (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.device"]], "dtype (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.dtype"]], "eval() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.eval"]], "ivy.stateful.module": [[781, "module-ivy.stateful.module"]], "load() (ivy.stateful.module.module static method)": [[781, "ivy.stateful.module.Module.load"]], "module_dict (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.module_dict"]], "register_buffer() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.register_buffer"]], "register_parameter() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.register_parameter"]], "save() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.save"]], "save_weights() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.save_weights"]], "show_graph() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.show_graph"]], "state_dict (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.state_dict"]], "to_device() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.to_device"]], "trace_graph() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.trace_graph"]], "train() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.train"]], "training (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.training"]], "v (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.v"]], "batchnorm2d (class in ivy.stateful.norms)": [[782, "ivy.stateful.norms.BatchNorm2D"]], "layernorm (class in ivy.stateful.norms)": [[782, "ivy.stateful.norms.LayerNorm"]], "__init__() (ivy.stateful.norms.batchnorm2d method)": [[782, "ivy.stateful.norms.BatchNorm2D.__init__"]], "__init__() (ivy.stateful.norms.layernorm method)": [[782, "ivy.stateful.norms.LayerNorm.__init__"]], "ivy.stateful.norms": [[782, "module-ivy.stateful.norms"]], "adam (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.Adam"]], "adamw (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.AdamW"]], "lamb (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.LAMB"]], "lars (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.LARS"]], "optimizer (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.Optimizer"]], "sgd (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.SGD"]], "__init__() (ivy.stateful.optimizers.adam method)": [[783, "ivy.stateful.optimizers.Adam.__init__"]], "__init__() (ivy.stateful.optimizers.adamw method)": [[783, "ivy.stateful.optimizers.AdamW.__init__"]], "__init__() (ivy.stateful.optimizers.lamb method)": [[783, "ivy.stateful.optimizers.LAMB.__init__"]], "__init__() (ivy.stateful.optimizers.lars method)": [[783, "ivy.stateful.optimizers.LARS.__init__"]], "__init__() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.__init__"]], "__init__() (ivy.stateful.optimizers.sgd method)": [[783, "ivy.stateful.optimizers.SGD.__init__"]], "ivy.stateful.optimizers": [[783, "module-ivy.stateful.optimizers"]], "set_state() (ivy.stateful.optimizers.adam method)": [[783, "ivy.stateful.optimizers.Adam.set_state"]], "set_state() (ivy.stateful.optimizers.lamb method)": [[783, "ivy.stateful.optimizers.LAMB.set_state"]], "set_state() (ivy.stateful.optimizers.lars method)": [[783, "ivy.stateful.optimizers.LARS.set_state"]], "set_state() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.set_state"]], "set_state() (ivy.stateful.optimizers.sgd method)": [[783, "ivy.stateful.optimizers.SGD.set_state"]], "state (ivy.stateful.optimizers.adam property)": [[783, "ivy.stateful.optimizers.Adam.state"]], "state (ivy.stateful.optimizers.lamb property)": [[783, "ivy.stateful.optimizers.LAMB.state"]], "state (ivy.stateful.optimizers.lars property)": [[783, "ivy.stateful.optimizers.LARS.state"]], "state (ivy.stateful.optimizers.sgd property)": [[783, "ivy.stateful.optimizers.SGD.state"]], "step() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.step"]], "sequential (class in ivy.stateful.sequential)": [[784, "ivy.stateful.sequential.Sequential"]], "__init__() (ivy.stateful.sequential.sequential method)": [[784, "ivy.stateful.sequential.Sequential.__init__"]], "ivy.stateful.sequential": [[784, "module-ivy.stateful.sequential"]], "check_all() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_all"]], "check_all_or_any_fn() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_all_or_any_fn"]], "check_any() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_any"]], "check_dev_correct_formatting() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_dev_correct_formatting"]], "check_dimensions() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_dimensions"]], "check_elem_in_list() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_elem_in_list"]], "check_equal() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_equal"]], "check_exists() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_exists"]], "check_false() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_false"]], "check_gather_input_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_gather_input_valid"]], "check_gather_nd_input_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_gather_nd_input_valid"]], "check_greater() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_greater"]], "check_inplace_sizes_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_inplace_sizes_valid"]], "check_isinstance() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_isinstance"]], "check_kernel_padding_size() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_kernel_padding_size"]], "check_less() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_less"]], "check_one_way_broadcastable() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_one_way_broadcastable"]], "check_same_dtype() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_same_dtype"]], "check_shape() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_shape"]], "check_shapes_broadcastable() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_shapes_broadcastable"]], "check_true() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_true"]], "check_unsorted_segment_valid_params() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_unsorted_segment_valid_params"]], "ivy.utils.assertions": [[785, "module-ivy.utils.assertions"]], "ivy.utils.backend": [[786, "module-ivy.utils.backend"]], "importtransformer (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer"]], "ivyloader (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader"]], "ivypathfinder (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.IvyPathFinder"]], "__init__() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.__init__"]], "__init__() (ivy.utils.backend.ast_helpers.ivyloader method)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader.__init__"]], "exec_module() (ivy.utils.backend.ast_helpers.ivyloader method)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader.exec_module"]], "find_spec() (ivy.utils.backend.ast_helpers.ivypathfinder method)": [[787, "ivy.utils.backend.ast_helpers.IvyPathFinder.find_spec"]], "impersonate_import() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.impersonate_import"]], "ivy.utils.backend.ast_helpers": [[787, "module-ivy.utils.backend.ast_helpers"]], "visit_import() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.visit_Import"]], "visit_importfrom() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.visit_ImportFrom"]], "contextmanager (class in ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.ContextManager"]], "__init__() (ivy.utils.backend.handler.contextmanager method)": [[788, "ivy.utils.backend.handler.ContextManager.__init__"]], "choose_random_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.choose_random_backend"]], "current_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.current_backend"]], "dynamic_backend_converter() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.dynamic_backend_converter"]], "ivy.utils.backend.handler": [[788, "module-ivy.utils.backend.handler"]], "prevent_access_locally() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.prevent_access_locally"]], "previous_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.previous_backend"]], "set_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_backend"]], "set_backend_to_specific_version() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_backend_to_specific_version"]], "set_jax_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_jax_backend"]], "set_mxnet_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_mxnet_backend"]], "set_numpy_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_numpy_backend"]], "set_paddle_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_paddle_backend"]], "set_tensorflow_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_tensorflow_backend"]], "set_torch_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_torch_backend"]], "unset_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.unset_backend"]], "with_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.with_backend"]], "clear_sub_backends() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.clear_sub_backends"]], "find_available_sub_backends() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.find_available_sub_backends"]], "fn_name_from_version_specific_fn_name() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.fn_name_from_version_specific_fn_name"]], "fn_name_from_version_specific_fn_name_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.fn_name_from_version_specific_fn_name_sub_backend"]], "ivy.utils.backend.sub_backend_handler": [[789, "module-ivy.utils.backend.sub_backend_handler"]], "set_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.set_sub_backend"]], "set_sub_backend_to_specific_version() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.set_sub_backend_to_specific_version"]], "unset_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.unset_sub_backend"]], "check_for_binaries() (in module ivy.utils.binaries)": [[790, "ivy.utils.binaries.check_for_binaries"]], "cleanup_and_fetch_binaries() (in module ivy.utils.binaries)": [[790, "ivy.utils.binaries.cleanup_and_fetch_binaries"]], "ivy.utils.binaries": [[790, "module-ivy.utils.binaries"]], "import_module() (in module ivy.utils.dynamic_import)": [[791, "ivy.utils.dynamic_import.import_module"]], "ivy.utils.dynamic_import": [[791, "module-ivy.utils.dynamic_import"]], "convert_interleaved_input() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.convert_interleaved_input"]], "convert_subscripts() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.convert_subscripts"]], "find_output_shape() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.find_output_shape"]], "find_output_str() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.find_output_str"]], "gen_unused_symbols() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.gen_unused_symbols"]], "get_symbol() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.get_symbol"]], "has_valid_einsum_chars_only() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.has_valid_einsum_chars_only"]], "is_valid_einsum_char() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.is_valid_einsum_char"]], "ivy.utils.einsum_parser": [[792, "module-ivy.utils.einsum_parser"]], "legalise_einsum_expr() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.legalise_einsum_expr"]], "possibly_convert_to_numpy() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.possibly_convert_to_numpy"]], "can_dot() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.can_dot"]], "compute_size_by_dict() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.compute_size_by_dict"]], "find_contraction() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.find_contraction"]], "flop_count() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.flop_count"]], "greedy_path() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.greedy_path"]], "ivy.utils.einsum_path_helpers": [[793, "module-ivy.utils.einsum_path_helpers"]], "optimal_path() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.optimal_path"]], "parse_einsum_input() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.parse_einsum_input"]], "parse_possible_contraction() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.parse_possible_contraction"]], "update_other_results() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.update_other_results"]], "inplaceupdateexception": [[794, "ivy.utils.exceptions.InplaceUpdateException"]], "ivyattributeerror": [[794, "ivy.utils.exceptions.IvyAttributeError"]], "ivybackendexception": [[794, "ivy.utils.exceptions.IvyBackendException"]], "ivybroadcastshapeerror": [[794, "ivy.utils.exceptions.IvyBroadcastShapeError"]], "ivydeviceerror": [[794, "ivy.utils.exceptions.IvyDeviceError"]], "ivydtypepromotionerror": [[794, "ivy.utils.exceptions.IvyDtypePromotionError"]], "ivyerror": [[794, "ivy.utils.exceptions.IvyError"]], "ivyexception": [[794, "ivy.utils.exceptions.IvyException"]], "ivyindexerror": [[794, "ivy.utils.exceptions.IvyIndexError"]], "ivyinvalidbackendexception": [[794, "ivy.utils.exceptions.IvyInvalidBackendException"]], "ivynotimplementedexception": [[794, "ivy.utils.exceptions.IvyNotImplementedException"]], "ivyvalueerror": [[794, "ivy.utils.exceptions.IvyValueError"]], "__init__() (ivy.utils.exceptions.inplaceupdateexception method)": [[794, "ivy.utils.exceptions.InplaceUpdateException.__init__"]], "__init__() (ivy.utils.exceptions.ivyattributeerror method)": [[794, "ivy.utils.exceptions.IvyAttributeError.__init__"]], "__init__() (ivy.utils.exceptions.ivybackendexception method)": [[794, "ivy.utils.exceptions.IvyBackendException.__init__"]], "__init__() (ivy.utils.exceptions.ivybroadcastshapeerror method)": [[794, "ivy.utils.exceptions.IvyBroadcastShapeError.__init__"]], "__init__() (ivy.utils.exceptions.ivydeviceerror method)": [[794, "ivy.utils.exceptions.IvyDeviceError.__init__"]], "__init__() (ivy.utils.exceptions.ivydtypepromotionerror method)": [[794, "ivy.utils.exceptions.IvyDtypePromotionError.__init__"]], "__init__() (ivy.utils.exceptions.ivyerror method)": [[794, "ivy.utils.exceptions.IvyError.__init__"]], "__init__() (ivy.utils.exceptions.ivyexception method)": [[794, "ivy.utils.exceptions.IvyException.__init__"]], "__init__() (ivy.utils.exceptions.ivyindexerror method)": [[794, "ivy.utils.exceptions.IvyIndexError.__init__"]], "__init__() (ivy.utils.exceptions.ivyinvalidbackendexception method)": [[794, "ivy.utils.exceptions.IvyInvalidBackendException.__init__"]], "__init__() (ivy.utils.exceptions.ivynotimplementedexception method)": [[794, "ivy.utils.exceptions.IvyNotImplementedException.__init__"]], "__init__() (ivy.utils.exceptions.ivyvalueerror method)": [[794, "ivy.utils.exceptions.IvyValueError.__init__"]], "handle_exceptions() (in module ivy.utils.exceptions)": [[794, "ivy.utils.exceptions.handle_exceptions"]], "ivy.utils.exceptions": [[794, "module-ivy.utils.exceptions"]], "add_array_specs() (in module ivy.utils.inspection)": [[795, "ivy.utils.inspection.add_array_specs"]], "fn_array_spec() (in module ivy.utils.inspection)": [[795, "ivy.utils.inspection.fn_array_spec"]], "ivy.utils.inspection": [[795, "module-ivy.utils.inspection"]], "ivy.utils.logging": [[796, "module-ivy.utils.logging"]], "set_logging_mode() (in module ivy.utils.logging)": [[796, "ivy.utils.logging.set_logging_mode"]], "unset_logging_mode() (in module ivy.utils.logging)": [[796, "ivy.utils.logging.unset_logging_mode"]], "profiler (class in ivy.utils.profiler)": [[797, "ivy.utils.profiler.Profiler"]], "__init__() (ivy.utils.profiler.profiler method)": [[797, "ivy.utils.profiler.Profiler.__init__"]], "ivy.utils.profiler": [[797, "module-ivy.utils.profiler"]], "print_stats (ivy.utils.profiler.profiler attribute)": [[797, "ivy.utils.profiler.Profiler.print_stats"]], "viz (ivy.utils.profiler.profiler attribute)": [[797, "ivy.utils.profiler.Profiler.viz"]], "cprint() (in module ivy.utils.verbosity)": [[798, "ivy.utils.verbosity.cprint"]], "ivy.utils.verbosity": [[798, "module-ivy.utils.verbosity"]], "automatic code conversions": [[842, "term-Automatic-Code-Conversions"]], "backend handler": [[842, "term-Backend-Handler"]], "compositional functions": [[842, "term-Compositional-Functions"]], "convenience functions": [[842, "term-Convenience-Functions"]], "framework": [[842, "term-Framework"]], "framework handler": [[842, "term-Framework-Handler"]], "graph compiler": [[842, "term-Graph-Compiler"]], "ivy array": [[842, "term-Ivy-Array"]], "ivy backends": [[842, "term-Ivy-Backends"]], "ivy compiler": [[842, "term-Ivy-Compiler"]], "ivy container": [[842, "term-Ivy-Container"]], "ivy frontends": [[842, "term-Ivy-Frontends"]], "ivy functional api": [[842, "term-Ivy-Functional-API"]], "ivy tracer": [[842, "term-Ivy-Tracer"]], "ivy transpiler": [[842, "term-Ivy-Transpiler"]], "mixed functions": [[842, "term-Mixed-Functions"]], "native array": [[842, "term-Native-Array"]], "nestable functions": [[842, "term-Nestable-Functions"]], "pipeline": [[842, "term-Pipeline"]], "primary functions": [[842, "term-Primary-Functions"]], "standalone functions": [[842, "term-Standalone-Functions"]], "submodule helper functions": [[842, "term-Submodule-Helper-Functions"]], "built-in function": [[848, "ivy.trace_graph"], [849, "ivy.transpile"], [850, "ivy.unify"]], "ivy.trace_graph()": [[848, "ivy.trace_graph"]], "ivy.transpile()": [[849, "ivy.transpile"]], "ivy.unify()": [[850, "ivy.unify"]]}}) \ No newline at end of file +Search.setIndex({"docnames": ["demos/README", "demos/assets/01_template", "demos/examples_and_demos", "demos/examples_and_demos/alexnet_demo", "demos/examples_and_demos/bert_demo", "demos/examples_and_demos/image_segmentation_with_ivy_unet", "demos/examples_and_demos/mmpretrain_to_jax", "demos/examples_and_demos/resnet_demo", "demos/examples_and_demos/torch_to_jax", "demos/examples_and_demos/xgboost_demo", "demos/guides", "demos/guides/01_transpiling_a_torch_model", "demos/guides/02_transpiling_a_haiku_model", "demos/guides/03_transpiling_a_tf_model", "demos/guides/04_developing_a_convnet_with_ivy", "demos/index", "demos/learn_the_basics", "demos/learn_the_basics/01_write_ivy_code", "demos/learn_the_basics/02_unify_code", "demos/learn_the_basics/03_trace_code", "demos/learn_the_basics/04_transpile_code", "demos/learn_the_basics/05_lazy_vs_eager", "demos/learn_the_basics/06_how_to_use_decorators", "demos/learn_the_basics/07_transpile_any_library", "demos/learn_the_basics/08_transpile_any_model", "demos/learn_the_basics/09_write_a_model_using_ivy", "demos/misc/odsc", "demos/quickstart", "demos/wip/0_building_blocks/0_0_unify", "demos/wip/0_building_blocks/0_1_compile", "demos/wip/0_building_blocks/0_2_transpile", "demos/wip/1_the_basics/1_0_lazy_vs_eager", "demos/wip/1_the_basics/1_1_framework_selection", "demos/wip/1_the_basics/1_2_as_a_decorator", "demos/wip/1_the_basics/1_3_dynamic_vs_static", "demos/wip/2_libraries/2_0_kornia", "demos/wip/3_models/3_0_perceiver", "demos/wip/3_models/3_1_stable_diffusion", "demos/wip/basic_operations_with_ivy", "demos/wip/compilation_of_a_basic_function", "demos/wip/deepmind_perceiver_io", "demos/wip/deepmind_perceiverio", "demos/wip/end_to_end_training_pipeline_in_ivy", "demos/wip/hf_tensorflow_deit", "demos/wip/ivy_as_a_transpiler_intro", "demos/wip/resnet_18", "docs/data_classes/data_classes/array/ivy.data_classes.array.activations", "docs/data_classes/data_classes/array/ivy.data_classes.array.conversions", "docs/data_classes/data_classes/array/ivy.data_classes.array.creation", "docs/data_classes/data_classes/array/ivy.data_classes.array.data_type", "docs/data_classes/data_classes/array/ivy.data_classes.array.device", "docs/data_classes/data_classes/array/ivy.data_classes.array.elementwise", "docs/data_classes/data_classes/array/ivy.data_classes.array.experimental", "docs/data_classes/data_classes/array/ivy.data_classes.array.general", "docs/data_classes/data_classes/array/ivy.data_classes.array.gradients", "docs/data_classes/data_classes/array/ivy.data_classes.array.image", "docs/data_classes/data_classes/array/ivy.data_classes.array.layers", "docs/data_classes/data_classes/array/ivy.data_classes.array.linear_algebra", "docs/data_classes/data_classes/array/ivy.data_classes.array.losses", "docs/data_classes/data_classes/array/ivy.data_classes.array.manipulation", "docs/data_classes/data_classes/array/ivy.data_classes.array.norms", "docs/data_classes/data_classes/array/ivy.data_classes.array.random", "docs/data_classes/data_classes/array/ivy.data_classes.array.searching", "docs/data_classes/data_classes/array/ivy.data_classes.array.set", "docs/data_classes/data_classes/array/ivy.data_classes.array.sorting", "docs/data_classes/data_classes/array/ivy.data_classes.array.statistical", "docs/data_classes/data_classes/array/ivy.data_classes.array.utility", "docs/data_classes/data_classes/array/ivy.data_classes.array.wrapping", "docs/data_classes/data_classes/container/ivy.data_classes.container.activations", "docs/data_classes/data_classes/container/ivy.data_classes.container.base", "docs/data_classes/data_classes/container/ivy.data_classes.container.conversions", "docs/data_classes/data_classes/container/ivy.data_classes.container.creation", "docs/data_classes/data_classes/container/ivy.data_classes.container.data_type", "docs/data_classes/data_classes/container/ivy.data_classes.container.device", "docs/data_classes/data_classes/container/ivy.data_classes.container.elementwise", "docs/data_classes/data_classes/container/ivy.data_classes.container.experimental", "docs/data_classes/data_classes/container/ivy.data_classes.container.general", "docs/data_classes/data_classes/container/ivy.data_classes.container.gradients", "docs/data_classes/data_classes/container/ivy.data_classes.container.image", "docs/data_classes/data_classes/container/ivy.data_classes.container.layers", "docs/data_classes/data_classes/container/ivy.data_classes.container.linear_algebra", "docs/data_classes/data_classes/container/ivy.data_classes.container.losses", "docs/data_classes/data_classes/container/ivy.data_classes.container.manipulation", "docs/data_classes/data_classes/container/ivy.data_classes.container.norms", "docs/data_classes/data_classes/container/ivy.data_classes.container.random", "docs/data_classes/data_classes/container/ivy.data_classes.container.searching", "docs/data_classes/data_classes/container/ivy.data_classes.container.set", "docs/data_classes/data_classes/container/ivy.data_classes.container.sorting", "docs/data_classes/data_classes/container/ivy.data_classes.container.statistical", "docs/data_classes/data_classes/container/ivy.data_classes.container.utility", "docs/data_classes/data_classes/container/ivy.data_classes.container.wrapping", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.base", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.parafac2_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tr_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tucker_tensor", "docs/data_classes/data_classes/ivy.data_classes.array", "docs/data_classes/data_classes/ivy.data_classes.container", "docs/data_classes/data_classes/ivy.data_classes.factorized_tensor", "docs/data_classes/data_classes/ivy.data_classes.nested_array", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.base", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.elementwise", "docs/data_classes/ivy.data_classes", "docs/functional/ivy.functional.ivy", "docs/functional/ivy/activations/ivy.functional.ivy.activations.gelu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.hardswish", "docs/functional/ivy/activations/ivy.functional.ivy.activations.leaky_relu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.log_softmax", "docs/functional/ivy/activations/ivy.functional.ivy.activations.mish", "docs/functional/ivy/activations/ivy.functional.ivy.activations.relu", "docs/functional/ivy/activations/ivy.functional.ivy.activations.sigmoid", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softmax", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softplus", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softsign", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_is", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_isnot", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.for_loop", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.if_else", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.try_except", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.while_loop", "docs/functional/ivy/creation/ivy.functional.ivy.creation.arange", "docs/functional/ivy/creation/ivy.functional.ivy.creation.array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.asarray", "docs/functional/ivy/creation/ivy.functional.ivy.creation.copy_array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.eye", "docs/functional/ivy/creation/ivy.functional.ivy.creation.from_dlpack", "docs/functional/ivy/creation/ivy.functional.ivy.creation.frombuffer", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.linspace", "docs/functional/ivy/creation/ivy.functional.ivy.creation.logspace", "docs/functional/ivy/creation/ivy.functional.ivy.creation.meshgrid", "docs/functional/ivy/creation/ivy.functional.ivy.creation.native_array", "docs/functional/ivy/creation/ivy.functional.ivy.creation.one_hot", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones_like", "docs/functional/ivy/creation/ivy.functional.ivy.creation.to_dlpack", "docs/functional/ivy/creation/ivy.functional.ivy.creation.tril", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu_indices", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros_like", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_ivy_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_native_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.astype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_arrays", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_to", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.can_cast", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.check_float", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.closest_valid_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype_bits", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.finfo", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_supported_dtypes", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_unsupported_dtypes", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.iinfo", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.infer_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.invalid_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_bool_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_hashable_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_native_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types_of_inputs", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.result_type", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.type_promote_arrays", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_complex_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_float_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_int_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_uint_dtype", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.valid_dtype", "docs/functional/ivy/device/ivy.functional.ivy.device.as_ivy_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.as_native_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.clear_cached_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.dev", "docs/functional/ivy/device/ivy.functional.ivy.device.dev_util", "docs/functional/ivy/device/ivy.functional.ivy.device.function_supported_devices", "docs/functional/ivy/device/ivy.functional.ivy.device.function_unsupported_devices", "docs/functional/ivy/device/ivy.functional.ivy.device.get_all_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.gpu_is_available", "docs/functional/ivy/device/ivy.functional.ivy.device.handle_soft_device_variable", "docs/functional/ivy/device/ivy.functional.ivy.device.num_cpu_cores", "docs/functional/ivy/device/ivy.functional.ivy.device.num_gpus", "docs/functional/ivy/device/ivy.functional.ivy.device.num_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.percent_used_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.print_all_ivy_arrays_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.set_default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.set_soft_device_mode", "docs/functional/ivy/device/ivy.functional.ivy.device.set_split_factor", "docs/functional/ivy/device/ivy.functional.ivy.device.split_factor", "docs/functional/ivy/device/ivy.functional.ivy.device.split_func_call", "docs/functional/ivy/device/ivy.functional.ivy.device.to_device", "docs/functional/ivy/device/ivy.functional.ivy.device.total_mem_on_dev", "docs/functional/ivy/device/ivy.functional.ivy.device.tpu_is_available", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_default_device", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_soft_device_mode", "docs/functional/ivy/device/ivy.functional.ivy.device.used_mem_on_dev", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.abs", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acos", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acosh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.add", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.angle", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asinh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atanh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_and", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_invert", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_left_shift", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_or", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_right_shift", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_xor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.ceil", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cos", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cosh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.deg2rad", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.divide", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.erf", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.expm1", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor_divide", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmod", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.gcd", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.imag", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isfinite", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isinf", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isnan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isreal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.lcm", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log10", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log1p", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp2", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_and", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_not", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_or", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_xor", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.maximum", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.minimum", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.multiply", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.nan_to_num", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.negative", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.not_equal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.positive", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.pow", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.rad2deg", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.real", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.reciprocal", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.remainder", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.round", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sign", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sin", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sinh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sqrt", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.square", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.subtract", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tan", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tanh", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trapz", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc_divide", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.celu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.elu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardtanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logit", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logsigmoid", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.prelu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.relu6", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.scaled_tanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.selu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.silu", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.softshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.stanh", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.tanhshrink", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.threshold", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.thresholded_relu", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.blackman_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.eye_like", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hamming_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hann_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.indices", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_bessel_derived_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_window", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.mel_weight_matrix", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndenumerate", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndindex", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.polyval", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_cp", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_parafac2", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tr", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tt", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tucker", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.tril_indices", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.trilu", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_mean", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_min", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_sum", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.vorbis_window", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.allclose", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amax", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amin", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.binarizer", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.conj", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.copysign", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.count_nonzero", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.diff", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.digamma", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.erfc", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fix", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.float_power", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fmax", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.frexp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.gradient", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.hypot", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.isclose", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.ldexp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lerp", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lgamma", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.modf", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nansum", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nextafter", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.signbit", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sinc", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sparsify_tensor", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.xlogy", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.zeta", "docs/functional/ivy/experimental/general/ivy.functional.ivy.experimental.general.reduce", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.bind_custom_gradient_function", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.jvp", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.vjp", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.activations", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.constants", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.creation", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.data_type", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.device", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.elementwise", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.general", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.gradients", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.losses", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.manipulation", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.meta", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.nest", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.norms", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.random", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.searching", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.set", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sorting", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sparse_array", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.statistical", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.utility", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_max_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.area_interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dct", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.embedding", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft2", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.generate_einsum_equation", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.get_interpolate_kernel", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.idct", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifftn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interp", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool2d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool3d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_unpool1d", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.nearest_interpolate", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.pool", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.reduce_window", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfft", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfftn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rnn", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.sliding_window", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.stft", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.adjoint", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.batched_outer", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.cond", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.diagflat", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eig", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigh_tridiagonal", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigvals", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.general_inner_product", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.higher_order_moment", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.initialize_tucker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.khatri_rao", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kron", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kronecker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.make_svd_non_negative", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.matrix_exp", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.mode_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.partial_tucker", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.solve_triangular", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.svd_flip", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tensor_train", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.truncated_svd", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tt_matrix_to_tensor", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tucker", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.huber_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.kl_div", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.l1_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.log_poisson_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.poisson_nll_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.smooth_l1_loss", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.soft_margin_loss", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.as_strided", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.associative_scan", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_1d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_2d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_3d", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.broadcast_shapes", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.check_scalar", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.choose", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.column_stack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.concat_from_sequence", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dstack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.expand", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fill_diagonal", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flatten", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fliplr", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flipud", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.heaviside", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hstack", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.i0", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.matricize", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.moveaxis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.pad", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_fold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_tensor_to_vec", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_unfold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_vec_to_tensor", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.put_along_axis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.rot90", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.soft_thresholding", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take_along_axis", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.top_k", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.trim_zeros", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unfold", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unique_consecutive", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vsplit", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vstack", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.batch_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.group_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.instance_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l1_normalize", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l2_normalize", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.local_response_norm", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.lp_normalize", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.bernoulli", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.beta", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.dirichlet", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.gamma", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.poisson", "docs/functional/ivy/experimental/searching/ivy.functional.ivy.experimental.searching.unravel_index", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.invert_permutation", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.lexsort", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_ivy_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_native_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array_to_indices_values_and_shape", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.bincount", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.corrcoef", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cov", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummax", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummin", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.histogram", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.igamma", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.median", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmean", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmedian", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmin", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanprod", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.quantile", "docs/functional/ivy/experimental/utility/ivy.functional.ivy.experimental.utility.optional_get_element", "docs/functional/ivy/general/ivy.functional.ivy.general.all_equal", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_info", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_names", "docs/functional/ivy/general/ivy.functional.ivy.general.array_equal", "docs/functional/ivy/general/ivy.functional.ivy.general.assert_supports_inplace", "docs/functional/ivy/general/ivy.functional.ivy.general.cache_fn", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_matrix_norm", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_vector_norm", "docs/functional/ivy/general/ivy.functional.ivy.general.container_types", "docs/functional/ivy/general/ivy.functional.ivy.general.current_backend_str", "docs/functional/ivy/general/ivy.functional.ivy.general.default", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_rearrange", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_reduce", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_repeat", "docs/functional/ivy/general/ivy.functional.ivy.general.exists", "docs/functional/ivy/general/ivy.functional.ivy.general.fourier_encode", "docs/functional/ivy/general/ivy.functional.ivy.general.function_supported_devices_and_dtypes", "docs/functional/ivy/general/ivy.functional.ivy.general.function_unsupported_devices_and_dtypes", "docs/functional/ivy/general/ivy.functional.ivy.general.gather", "docs/functional/ivy/general/ivy.functional.ivy.general.gather_nd", "docs/functional/ivy/general/ivy.functional.ivy.general.get_all_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.get_item", "docs/functional/ivy/general/ivy.functional.ivy.general.get_num_dims", "docs/functional/ivy/general/ivy.functional.ivy.general.get_referrers_recursive", "docs/functional/ivy/general/ivy.functional.ivy.general.has_nans", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_arrays_supported", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_decrement", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_increment", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_update", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_variables_supported", "docs/functional/ivy/general/ivy.functional.ivy.general.is_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_container", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_nested_array", "docs/functional/ivy/general/ivy.functional.ivy.general.is_native_array", "docs/functional/ivy/general/ivy.functional.ivy.general.isin", "docs/functional/ivy/general/ivy.functional.ivy.general.isscalar", "docs/functional/ivy/general/ivy.functional.ivy.general.itemsize", "docs/functional/ivy/general/ivy.functional.ivy.general.match_kwargs", "docs/functional/ivy/general/ivy.functional.ivy.general.multiprocessing", "docs/functional/ivy/general/ivy.functional.ivy.general.num_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.print_all_arrays_in_memory", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_flat", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_nd", "docs/functional/ivy/general/ivy.functional.ivy.general.set_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_exception_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_inplace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_item", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_base", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_denominator", "docs/functional/ivy/general/ivy.functional.ivy.general.set_nestable_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_precise_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_queue_timeout", "docs/functional/ivy/general/ivy.functional.ivy.general.set_shape_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_show_func_wrapper_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.set_tmp_dir", "docs/functional/ivy/general/ivy.functional.ivy.general.shape", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_divide", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_pow", "docs/functional/ivy/general/ivy.functional.ivy.general.strides", "docs/functional/ivy/general/ivy.functional.ivy.general.supports_inplace_updates", "docs/functional/ivy/general/ivy.functional.ivy.general.to_ivy_shape", "docs/functional/ivy/general/ivy.functional.ivy.general.to_list", "docs/functional/ivy/general/ivy.functional.ivy.general.to_native_shape", "docs/functional/ivy/general/ivy.functional.ivy.general.to_numpy", "docs/functional/ivy/general/ivy.functional.ivy.general.to_scalar", "docs/functional/ivy/general/ivy.functional.ivy.general.try_else_none", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_exception_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_inplace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_base", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_denominator", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_nestable_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_precise_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_queue_timeout", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_shape_array_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_show_func_wrapper_trace_mode", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_tmp_dir", "docs/functional/ivy/general/ivy.functional.ivy.general.value_is_nan", "docs/functional/ivy/general/ivy.functional.ivy.general.vmap", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_step", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.execute_with_gradients", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.grad", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.gradient_descent_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.jac", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lamb_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lars_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.optimizer_update", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.stop_gradient", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.value_and_grad", "docs/functional/ivy/ivy.functional.ivy.activations", "docs/functional/ivy/ivy.functional.ivy.constants", "docs/functional/ivy/ivy.functional.ivy.control_flow_ops", "docs/functional/ivy/ivy.functional.ivy.creation", "docs/functional/ivy/ivy.functional.ivy.data_type", "docs/functional/ivy/ivy.functional.ivy.device", "docs/functional/ivy/ivy.functional.ivy.elementwise", "docs/functional/ivy/ivy.functional.ivy.experimental", "docs/functional/ivy/ivy.functional.ivy.general", "docs/functional/ivy/ivy.functional.ivy.gradients", "docs/functional/ivy/ivy.functional.ivy.layers", "docs/functional/ivy/ivy.functional.ivy.linear_algebra", "docs/functional/ivy/ivy.functional.ivy.losses", "docs/functional/ivy/ivy.functional.ivy.manipulation", "docs/functional/ivy/ivy.functional.ivy.meta", "docs/functional/ivy/ivy.functional.ivy.nest", "docs/functional/ivy/ivy.functional.ivy.norms", "docs/functional/ivy/ivy.functional.ivy.random", "docs/functional/ivy/ivy.functional.ivy.searching", "docs/functional/ivy/ivy.functional.ivy.set", "docs/functional/ivy/ivy.functional.ivy.sorting", "docs/functional/ivy/ivy.functional.ivy.statistical", "docs/functional/ivy/ivy.functional.ivy.utility", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_dilated", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_transpose", "docs/functional/ivy/layers/ivy.functional.ivy.layers.depthwise_conv2d", "docs/functional/ivy/layers/ivy.functional.ivy.layers.dropout", "docs/functional/ivy/layers/ivy.functional.ivy.layers.linear", "docs/functional/ivy/layers/ivy.functional.ivy.layers.lstm_update", "docs/functional/ivy/layers/ivy.functional.ivy.layers.multi_head_attention", "docs/functional/ivy/layers/ivy.functional.ivy.layers.nms", "docs/functional/ivy/layers/ivy.functional.ivy.layers.roi_align", "docs/functional/ivy/layers/ivy.functional.ivy.layers.scaled_dot_product_attention", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cholesky", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cross", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.det", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diag", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diagonal", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eig", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigh", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigvalsh", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inner", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inv", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.lu_factor", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matmul", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_norm", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_power", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_rank", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_transpose", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.outer", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.pinv", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.qr", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.slogdet", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.solve", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svd", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svdvals", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensordot", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensorsolve", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.trace", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vander", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vecdot", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_norm", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_to_skew_symmetric_matrix", "docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy", "docs/functional/ivy/losses/ivy.functional.ivy.losses.cross_entropy", "docs/functional/ivy/losses/ivy.functional.ivy.losses.sparse_cross_entropy", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.clip", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.concat", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.constant_pad", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.expand_dims", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.flip", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.permute_dims", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.repeat", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.reshape", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.roll", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.split", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.squeeze", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.stack", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.swapaxes", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.tile", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.unstack", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.zero_pad", "docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step", "docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step", "docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step", "docs/functional/ivy/nest/ivy.functional.ivy.nest.all_nested_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.copy_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.duplicate_array_index_chains", "docs/functional/ivy/nest/ivy.functional.ivy.nest.index_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.multi_index_nest", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_any", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_argwhere", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_multi_map", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_empty", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_indices", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_index", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_indices", "docs/functional/ivy/norms/ivy.functional.ivy.norms.layer_norm", "docs/functional/ivy/random/ivy.functional.ivy.random.multinomial", "docs/functional/ivy/random/ivy.functional.ivy.random.randint", "docs/functional/ivy/random/ivy.functional.ivy.random.random_normal", "docs/functional/ivy/random/ivy.functional.ivy.random.random_uniform", "docs/functional/ivy/random/ivy.functional.ivy.random.seed", "docs/functional/ivy/random/ivy.functional.ivy.random.shuffle", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmax", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmin", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argwhere", "docs/functional/ivy/searching/ivy.functional.ivy.searching.nonzero", "docs/functional/ivy/searching/ivy.functional.ivy.searching.where", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_all", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_counts", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_inverse", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_values", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.argsort", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.msort", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.searchsorted", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.sort", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumprod", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumsum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.einsum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.max", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.mean", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.min", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.prod", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.std", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.sum", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.var", "docs/functional/ivy/utility/ivy.functional.ivy.utility.all", "docs/functional/ivy/utility/ivy.functional.ivy.utility.any", "docs/functional/ivy/utility/ivy.functional.ivy.utility.load", "docs/functional/ivy/utility/ivy.functional.ivy.utility.save", "docs/helpers/ivy_tests.test_ivy.helpers.assertions", "docs/helpers/ivy_tests.test_ivy.helpers.available_frameworks", "docs/helpers/ivy_tests.test_ivy.helpers.function_testing", "docs/helpers/ivy_tests.test_ivy.helpers.globals", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers", "docs/helpers/ivy_tests.test_ivy.helpers.multiprocessing", "docs/helpers/ivy_tests.test_ivy.helpers.pipeline_helper", "docs/helpers/ivy_tests.test_ivy.helpers.structs", "docs/helpers/ivy_tests.test_ivy.helpers.test_parameter_flags", "docs/helpers/ivy_tests.test_ivy.helpers.testing_helpers", "docs/ivy.stateful", "docs/ivy.utils", "docs/ivy_tests.test_ivy.helpers", "docs/stateful/ivy.stateful.activations", "docs/stateful/ivy.stateful.converters", "docs/stateful/ivy.stateful.helpers", "docs/stateful/ivy.stateful.initializers", "docs/stateful/ivy.stateful.layers", "docs/stateful/ivy.stateful.losses", "docs/stateful/ivy.stateful.module", "docs/stateful/ivy.stateful.norms", "docs/stateful/ivy.stateful.optimizers", "docs/stateful/ivy.stateful.sequential", "docs/utils/ivy.utils.assertions", "docs/utils/ivy.utils.backend", "docs/utils/ivy.utils.backend/ivy.utils.backend.ast_helpers", "docs/utils/ivy.utils.backend/ivy.utils.backend.handler", "docs/utils/ivy.utils.backend/ivy.utils.backend.sub_backend_handler", "docs/utils/ivy.utils.binaries", "docs/utils/ivy.utils.dynamic_import", "docs/utils/ivy.utils.einsum_parser", "docs/utils/ivy.utils.einsum_path_helpers", "docs/utils/ivy.utils.exceptions", "docs/utils/ivy.utils.inspection", "docs/utils/ivy.utils.logging", "docs/utils/ivy.utils.profiler", "docs/utils/ivy.utils.verbosity", "index", "overview/contributing", "overview/contributing/building_the_docs", "overview/contributing/error_handling", "overview/contributing/helpful_resources", "overview/contributing/open_tasks", "overview/contributing/setting_up", "overview/contributing/the_basics", "overview/deep_dive", "overview/deep_dive/array_api_tests", "overview/deep_dive/arrays", "overview/deep_dive/backend_setting", "overview/deep_dive/building_the_docs_pipeline", "overview/deep_dive/containers", "overview/deep_dive/continuous_integration", "overview/deep_dive/data_types", "overview/deep_dive/devices", "overview/deep_dive/docstring_examples", "overview/deep_dive/docstrings", "overview/deep_dive/exception_handling", "overview/deep_dive/fix_failing_tests", "overview/deep_dive/formatting", "overview/deep_dive/function_arguments", "overview/deep_dive/function_types", "overview/deep_dive/function_wrapping", "overview/deep_dive/gradients", "overview/deep_dive/inplace_updates", "overview/deep_dive/ivy_frontends", "overview/deep_dive/ivy_frontends_tests", "overview/deep_dive/ivy_lint", "overview/deep_dive/ivy_tests", "overview/deep_dive/navigating_the_code", "overview/deep_dive/operating_modes", "overview/deep_dive/superset_behaviour", "overview/design", "overview/design/building_blocks", "overview/design/ivy_as_a_framework", "overview/design/ivy_as_a_framework/ivy_array", "overview/design/ivy_as_a_framework/ivy_container", "overview/design/ivy_as_a_framework/ivy_stateful_api", "overview/design/ivy_as_a_transpiler", "overview/faq", "overview/get_started", "overview/glossary", "overview/motivation", "overview/motivation/ml_explosion", "overview/motivation/standardization", "overview/motivation/why_unify", "overview/one_liners", "overview/one_liners/trace", "overview/one_liners/transpile", "overview/one_liners/unify", "overview/related_work", "overview/related_work/api_standards", "overview/related_work/compiler_infrastructure", "overview/related_work/exchange_formats", "overview/related_work/frameworks", "overview/related_work/graph_tracers", "overview/related_work/ml_unifying_companies", "overview/related_work/multi_vendor_compiler_frameworks", "overview/related_work/vendor_specific_apis", "overview/related_work/vendor_specific_compilers", "overview/related_work/what_does_ivy_add", "overview/related_work/wrapper_frameworks"], "filenames": ["demos/README.md", "demos/assets/01_template.ipynb", "demos/examples_and_demos.rst", "demos/examples_and_demos/alexnet_demo.ipynb", "demos/examples_and_demos/bert_demo.ipynb", "demos/examples_and_demos/image_segmentation_with_ivy_unet.ipynb", "demos/examples_and_demos/mmpretrain_to_jax.ipynb", "demos/examples_and_demos/resnet_demo.ipynb", "demos/examples_and_demos/torch_to_jax.ipynb", "demos/examples_and_demos/xgboost_demo.ipynb", "demos/guides.rst", "demos/guides/01_transpiling_a_torch_model.ipynb", "demos/guides/02_transpiling_a_haiku_model.ipynb", "demos/guides/03_transpiling_a_tf_model.ipynb", "demos/guides/04_developing_a_convnet_with_ivy.ipynb", "demos/index.rst", "demos/learn_the_basics.rst", "demos/learn_the_basics/01_write_ivy_code.ipynb", "demos/learn_the_basics/02_unify_code.ipynb", "demos/learn_the_basics/03_trace_code.ipynb", "demos/learn_the_basics/04_transpile_code.ipynb", "demos/learn_the_basics/05_lazy_vs_eager.ipynb", "demos/learn_the_basics/06_how_to_use_decorators.ipynb", "demos/learn_the_basics/07_transpile_any_library.ipynb", "demos/learn_the_basics/08_transpile_any_model.ipynb", "demos/learn_the_basics/09_write_a_model_using_ivy.ipynb", "demos/misc/odsc.ipynb", "demos/quickstart.ipynb", "demos/wip/0_building_blocks/0_0_unify.ipynb", "demos/wip/0_building_blocks/0_1_compile.ipynb", "demos/wip/0_building_blocks/0_2_transpile.ipynb", "demos/wip/1_the_basics/1_0_lazy_vs_eager.ipynb", "demos/wip/1_the_basics/1_1_framework_selection.ipynb", "demos/wip/1_the_basics/1_2_as_a_decorator.ipynb", "demos/wip/1_the_basics/1_3_dynamic_vs_static.ipynb", "demos/wip/2_libraries/2_0_kornia.ipynb", "demos/wip/3_models/3_0_perceiver.ipynb", "demos/wip/3_models/3_1_stable_diffusion.ipynb", "demos/wip/basic_operations_with_ivy.ipynb", "demos/wip/compilation_of_a_basic_function.ipynb", "demos/wip/deepmind_perceiver_io.ipynb", "demos/wip/deepmind_perceiverio.ipynb", "demos/wip/end_to_end_training_pipeline_in_ivy.ipynb", "demos/wip/hf_tensorflow_deit.ipynb", "demos/wip/ivy_as_a_transpiler_intro.ipynb", "demos/wip/resnet_18.ipynb", "docs/data_classes/data_classes/array/ivy.data_classes.array.activations.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.conversions.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.creation.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.data_type.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.device.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.elementwise.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.experimental.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.general.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.gradients.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.image.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.layers.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.linear_algebra.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.losses.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.manipulation.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.norms.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.random.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.searching.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.set.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.sorting.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.statistical.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.utility.rst", "docs/data_classes/data_classes/array/ivy.data_classes.array.wrapping.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.activations.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.base.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.conversions.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.creation.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.data_type.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.device.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.elementwise.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.experimental.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.general.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.gradients.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.image.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.layers.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.linear_algebra.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.losses.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.manipulation.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.norms.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.random.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.searching.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.set.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.sorting.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.statistical.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.utility.rst", "docs/data_classes/data_classes/container/ivy.data_classes.container.wrapping.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.base.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.parafac2_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tr_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.rst", "docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tucker_tensor.rst", "docs/data_classes/data_classes/ivy.data_classes.array.rst", "docs/data_classes/data_classes/ivy.data_classes.container.rst", "docs/data_classes/data_classes/ivy.data_classes.factorized_tensor.rst", "docs/data_classes/data_classes/ivy.data_classes.nested_array.rst", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.base.rst", "docs/data_classes/data_classes/nested_array/ivy.data_classes.nested_array.elementwise.rst", "docs/data_classes/ivy.data_classes.rst", "docs/functional/ivy.functional.ivy.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.gelu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.hardswish.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.leaky_relu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.log_softmax.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.mish.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.relu.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.sigmoid.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softmax.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softplus.rst", "docs/functional/ivy/activations/ivy.functional.ivy.activations.softsign.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_is.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.cmp_isnot.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.for_loop.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.if_else.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.try_except.rst", "docs/functional/ivy/control_flow_ops/ivy.functional.ivy.control_flow_ops.while_loop.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.arange.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.asarray.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.copy_array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.empty_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.eye.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.from_dlpack.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.frombuffer.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.full_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.linspace.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.logspace.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.meshgrid.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.native_array.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.one_hot.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.ones_like.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.to_dlpack.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.tril.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.triu_indices.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros.rst", "docs/functional/ivy/creation/ivy.functional.ivy.creation.zeros_like.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_ivy_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.as_native_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.astype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_arrays.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.broadcast_to.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.can_cast.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.check_float.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.closest_valid_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.dtype_bits.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.finfo.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_supported_dtypes.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.function_unsupported_dtypes.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.iinfo.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.infer_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.invalid_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_bool_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_hashable_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_native_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.is_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.promote_types_of_inputs.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.result_type.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.set_default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.type_promote_arrays.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_complex_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_float_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_int_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.unset_default_uint_dtype.rst", "docs/functional/ivy/data_type/ivy.functional.ivy.data_type.valid_dtype.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.as_ivy_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.as_native_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.clear_cached_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.dev_util.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.function_supported_devices.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.function_unsupported_devices.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.get_all_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.gpu_is_available.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.handle_soft_device_variable.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_cpu_cores.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_gpus.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.num_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.percent_used_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.print_all_ivy_arrays_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_soft_device_mode.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.set_split_factor.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.split_factor.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.split_func_call.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.to_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.total_mem_on_dev.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.tpu_is_available.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_default_device.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.unset_soft_device_mode.rst", "docs/functional/ivy/device/ivy.functional.ivy.device.used_mem_on_dev.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.abs.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acos.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.acosh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.add.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.angle.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.asinh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atan2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.atanh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_and.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_invert.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_left_shift.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_or.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_right_shift.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.bitwise_xor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.ceil.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cos.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.cosh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.deg2rad.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.divide.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.erf.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.exp2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.expm1.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.floor_divide.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.fmod.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.gcd.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.greater_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.imag.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isfinite.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isinf.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isnan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.isreal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.lcm.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.less_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log10.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log1p.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.log2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logaddexp2.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_and.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_not.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_or.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.logical_xor.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.maximum.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.minimum.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.multiply.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.nan_to_num.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.negative.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.not_equal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.positive.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.pow.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.rad2deg.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.real.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.reciprocal.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.remainder.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.round.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sign.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sin.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sinh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.sqrt.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.square.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.subtract.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tan.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.tanh.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trapz.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc.rst", "docs/functional/ivy/elementwise/ivy.functional.ivy.elementwise.trunc_divide.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.celu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.elu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.hardtanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logit.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.logsigmoid.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.prelu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.relu6.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.scaled_tanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.selu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.silu.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.softshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.stanh.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.tanhshrink.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.threshold.rst", "docs/functional/ivy/experimental/activations/ivy.functional.ivy.experimental.activations.thresholded_relu.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.blackman_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.eye_like.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hamming_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.hann_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.indices.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_bessel_derived_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.kaiser_window.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.mel_weight_matrix.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndenumerate.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.ndindex.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.polyval.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_cp.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_parafac2.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tr.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tt.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.random_tucker.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.tril_indices.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.trilu.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_mean.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_min.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.unsorted_segment_sum.rst", "docs/functional/ivy/experimental/creation/ivy.functional.ivy.experimental.creation.vorbis_window.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.allclose.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amax.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.amin.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.binarizer.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.conj.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.copysign.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.count_nonzero.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.diff.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.digamma.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.erfc.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fix.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.float_power.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.fmax.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.frexp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.gradient.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.hypot.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.isclose.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.ldexp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lerp.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.lgamma.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.modf.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nansum.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.nextafter.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.signbit.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sinc.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.sparsify_tensor.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.xlogy.rst", "docs/functional/ivy/experimental/elementwise/ivy.functional.ivy.experimental.elementwise.zeta.rst", "docs/functional/ivy/experimental/general/ivy.functional.ivy.experimental.general.reduce.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.bind_custom_gradient_function.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.jvp.rst", "docs/functional/ivy/experimental/gradients/ivy.functional.ivy.experimental.gradients.vjp.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.activations.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.constants.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.creation.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.data_type.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.device.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.elementwise.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.general.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.gradients.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.losses.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.manipulation.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.meta.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.nest.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.norms.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.random.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.searching.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.set.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sorting.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.sparse_array.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.statistical.rst", "docs/functional/ivy/experimental/ivy.functional.ivy.experimental.utility.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_avg_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.adaptive_max_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.area_interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.avg_pool3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dct.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.dropout3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.embedding.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.fft2.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.generate_einsum_equation.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.get_interpolate_kernel.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.idct.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.ifftn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interp.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool2d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool3d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_unpool1d.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.nearest_interpolate.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.pool.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.reduce_window.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfft.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rfftn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.rnn.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.sliding_window.rst", "docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.stft.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.adjoint.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.batched_outer.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.cond.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.diagflat.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eig.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigh_tridiagonal.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.eigvals.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.general_inner_product.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.higher_order_moment.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.initialize_tucker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.khatri_rao.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kron.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.kronecker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.make_svd_non_negative.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.matrix_exp.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.mode_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.partial_tucker.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.solve_triangular.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.svd_flip.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tensor_train.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.truncated_svd.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tt_matrix_to_tensor.rst", "docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.tucker.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.huber_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.kl_div.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.l1_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.log_poisson_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.poisson_nll_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.smooth_l1_loss.rst", "docs/functional/ivy/experimental/losses/ivy.functional.ivy.experimental.losses.soft_margin_loss.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.as_strided.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.associative_scan.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_1d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_2d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.atleast_3d.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.broadcast_shapes.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.check_scalar.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.choose.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.column_stack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.concat_from_sequence.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.dstack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.expand.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fill_diagonal.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flatten.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fliplr.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.flipud.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.fold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.heaviside.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.hstack.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.i0.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.matricize.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.moveaxis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.pad.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_fold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_tensor_to_vec.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_unfold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.partial_vec_to_tensor.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.put_along_axis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.rot90.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.soft_thresholding.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.take_along_axis.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.top_k.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.trim_zeros.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unfold.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.unique_consecutive.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vsplit.rst", "docs/functional/ivy/experimental/manipulation/ivy.functional.ivy.experimental.manipulation.vstack.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.batch_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.group_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.instance_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l1_normalize.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.l2_normalize.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.local_response_norm.rst", "docs/functional/ivy/experimental/norms/ivy.functional.ivy.experimental.norms.lp_normalize.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.bernoulli.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.beta.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.dirichlet.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.gamma.rst", "docs/functional/ivy/experimental/random/ivy.functional.ivy.experimental.random.poisson.rst", "docs/functional/ivy/experimental/searching/ivy.functional.ivy.experimental.searching.unravel_index.rst", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.invert_permutation.rst", "docs/functional/ivy/experimental/sorting/ivy.functional.ivy.experimental.sorting.lexsort.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_ivy_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.is_native_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array.rst", "docs/functional/ivy/experimental/sparse_array/ivy.functional.ivy.experimental.sparse_array.native_sparse_array_to_indices_values_and_shape.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.bincount.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.corrcoef.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cov.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummax.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.cummin.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.histogram.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.igamma.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.median.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmean.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmedian.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanmin.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.nanprod.rst", "docs/functional/ivy/experimental/statistical/ivy.functional.ivy.experimental.statistical.quantile.rst", "docs/functional/ivy/experimental/utility/ivy.functional.ivy.experimental.utility.optional_get_element.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.all_equal.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_info.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.arg_names.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.array_equal.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.assert_supports_inplace.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.cache_fn.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_matrix_norm.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.clip_vector_norm.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.container_types.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.current_backend_str.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.default.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_rearrange.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_reduce.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.einops_repeat.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.exists.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.fourier_encode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.function_supported_devices_and_dtypes.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.function_unsupported_devices_and_dtypes.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.gather.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.gather_nd.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_all_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_item.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_num_dims.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.get_referrers_recursive.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.has_nans.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_arrays_supported.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_decrement.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_increment.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_update.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.inplace_variables_supported.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_container.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_ivy_nested_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.is_native_array.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.isin.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.isscalar.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.itemsize.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.match_kwargs.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.multiprocessing.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.num_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.print_all_arrays_in_memory.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_flat.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.scatter_nd.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_exception_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_inplace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_item.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_base.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_min_denominator.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_nestable_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_precise_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_queue_timeout.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_shape_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_show_func_wrapper_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.set_tmp_dir.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_divide.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.stable_pow.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.strides.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.supports_inplace_updates.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_ivy_shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_list.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_native_shape.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_numpy.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.to_scalar.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.try_else_none.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_exception_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_inplace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_base.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_min_denominator.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_nestable_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_precise_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_queue_timeout.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_shape_array_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_show_func_wrapper_trace_mode.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.unset_tmp_dir.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.value_is_nan.rst", "docs/functional/ivy/general/ivy.functional.ivy.general.vmap.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_step.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.adam_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.execute_with_gradients.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.grad.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.gradient_descent_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.jac.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lamb_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.lars_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.optimizer_update.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.stop_gradient.rst", "docs/functional/ivy/gradients/ivy.functional.ivy.gradients.value_and_grad.rst", "docs/functional/ivy/ivy.functional.ivy.activations.rst", "docs/functional/ivy/ivy.functional.ivy.constants.rst", "docs/functional/ivy/ivy.functional.ivy.control_flow_ops.rst", "docs/functional/ivy/ivy.functional.ivy.creation.rst", "docs/functional/ivy/ivy.functional.ivy.data_type.rst", "docs/functional/ivy/ivy.functional.ivy.device.rst", "docs/functional/ivy/ivy.functional.ivy.elementwise.rst", "docs/functional/ivy/ivy.functional.ivy.experimental.rst", "docs/functional/ivy/ivy.functional.ivy.general.rst", "docs/functional/ivy/ivy.functional.ivy.gradients.rst", "docs/functional/ivy/ivy.functional.ivy.layers.rst", "docs/functional/ivy/ivy.functional.ivy.linear_algebra.rst", "docs/functional/ivy/ivy.functional.ivy.losses.rst", "docs/functional/ivy/ivy.functional.ivy.manipulation.rst", "docs/functional/ivy/ivy.functional.ivy.meta.rst", "docs/functional/ivy/ivy.functional.ivy.nest.rst", "docs/functional/ivy/ivy.functional.ivy.norms.rst", "docs/functional/ivy/ivy.functional.ivy.random.rst", "docs/functional/ivy/ivy.functional.ivy.searching.rst", "docs/functional/ivy/ivy.functional.ivy.set.rst", "docs/functional/ivy/ivy.functional.ivy.sorting.rst", "docs/functional/ivy/ivy.functional.ivy.statistical.rst", "docs/functional/ivy/ivy.functional.ivy.utility.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv1d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv2d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv3d_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_dilated.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.conv_general_transpose.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.depthwise_conv2d.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.dropout.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.linear.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.lstm_update.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.multi_head_attention.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.nms.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.roi_align.rst", "docs/functional/ivy/layers/ivy.functional.ivy.layers.scaled_dot_product_attention.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cholesky.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.cross.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.det.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diag.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.diagonal.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eig.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigh.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.eigvalsh.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inner.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.inv.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.lu_factor.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matmul.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_norm.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_power.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_rank.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.matrix_transpose.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.outer.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.pinv.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.qr.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.slogdet.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.solve.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svd.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.svdvals.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensordot.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.tensorsolve.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.trace.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vander.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vecdot.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_norm.rst", "docs/functional/ivy/linear_algebra/ivy.functional.ivy.linear_algebra.vector_to_skew_symmetric_matrix.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.cross_entropy.rst", "docs/functional/ivy/losses/ivy.functional.ivy.losses.sparse_cross_entropy.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.clip.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.concat.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.constant_pad.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.expand_dims.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.flip.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.permute_dims.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.repeat.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.reshape.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.roll.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.split.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.squeeze.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.stack.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.swapaxes.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.tile.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.unstack.rst", "docs/functional/ivy/manipulation/ivy.functional.ivy.manipulation.zero_pad.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.fomaml_step.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.maml_step.rst", "docs/functional/ivy/meta/ivy.functional.ivy.meta.reptile_step.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.all_nested_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.copy_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.duplicate_array_index_chains.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.index_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.insert_into_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.map_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.multi_index_nest.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_any.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_argwhere.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.nested_multi_map.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_empty.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.prune_nest_at_indices.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_index.rst", "docs/functional/ivy/nest/ivy.functional.ivy.nest.set_nest_at_indices.rst", "docs/functional/ivy/norms/ivy.functional.ivy.norms.layer_norm.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.multinomial.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.randint.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.random_normal.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.random_uniform.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.seed.rst", "docs/functional/ivy/random/ivy.functional.ivy.random.shuffle.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmax.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argmin.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.argwhere.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.nonzero.rst", "docs/functional/ivy/searching/ivy.functional.ivy.searching.where.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_all.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_counts.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_inverse.rst", "docs/functional/ivy/set/ivy.functional.ivy.set.unique_values.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.argsort.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.msort.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.searchsorted.rst", "docs/functional/ivy/sorting/ivy.functional.ivy.sorting.sort.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumprod.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.cumsum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.einsum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.max.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.mean.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.min.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.prod.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.std.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.sum.rst", "docs/functional/ivy/statistical/ivy.functional.ivy.statistical.var.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.all.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.any.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.load.rst", "docs/functional/ivy/utility/ivy.functional.ivy.utility.save.rst", "docs/helpers/ivy_tests.test_ivy.helpers.assertions.rst", "docs/helpers/ivy_tests.test_ivy.helpers.available_frameworks.rst", "docs/helpers/ivy_tests.test_ivy.helpers.function_testing.rst", "docs/helpers/ivy_tests.test_ivy.helpers.globals.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers/ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.rst", "docs/helpers/ivy_tests.test_ivy.helpers.multiprocessing.rst", "docs/helpers/ivy_tests.test_ivy.helpers.pipeline_helper.rst", "docs/helpers/ivy_tests.test_ivy.helpers.structs.rst", "docs/helpers/ivy_tests.test_ivy.helpers.test_parameter_flags.rst", "docs/helpers/ivy_tests.test_ivy.helpers.testing_helpers.rst", "docs/ivy.stateful.rst", "docs/ivy.utils.rst", "docs/ivy_tests.test_ivy.helpers.rst", "docs/stateful/ivy.stateful.activations.rst", "docs/stateful/ivy.stateful.converters.rst", "docs/stateful/ivy.stateful.helpers.rst", "docs/stateful/ivy.stateful.initializers.rst", "docs/stateful/ivy.stateful.layers.rst", "docs/stateful/ivy.stateful.losses.rst", "docs/stateful/ivy.stateful.module.rst", "docs/stateful/ivy.stateful.norms.rst", "docs/stateful/ivy.stateful.optimizers.rst", "docs/stateful/ivy.stateful.sequential.rst", "docs/utils/ivy.utils.assertions.rst", "docs/utils/ivy.utils.backend.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.ast_helpers.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.handler.rst", "docs/utils/ivy.utils.backend/ivy.utils.backend.sub_backend_handler.rst", "docs/utils/ivy.utils.binaries.rst", "docs/utils/ivy.utils.dynamic_import.rst", "docs/utils/ivy.utils.einsum_parser.rst", "docs/utils/ivy.utils.einsum_path_helpers.rst", "docs/utils/ivy.utils.exceptions.rst", "docs/utils/ivy.utils.inspection.rst", "docs/utils/ivy.utils.logging.rst", "docs/utils/ivy.utils.profiler.rst", "docs/utils/ivy.utils.verbosity.rst", "index.rst", "overview/contributing.rst", "overview/contributing/building_the_docs.rst", "overview/contributing/error_handling.rst", "overview/contributing/helpful_resources.rst", "overview/contributing/open_tasks.rst", "overview/contributing/setting_up.rst", "overview/contributing/the_basics.rst", "overview/deep_dive.rst", "overview/deep_dive/array_api_tests.rst", "overview/deep_dive/arrays.rst", "overview/deep_dive/backend_setting.rst", "overview/deep_dive/building_the_docs_pipeline.rst", "overview/deep_dive/containers.rst", "overview/deep_dive/continuous_integration.rst", "overview/deep_dive/data_types.rst", "overview/deep_dive/devices.rst", "overview/deep_dive/docstring_examples.rst", "overview/deep_dive/docstrings.rst", "overview/deep_dive/exception_handling.rst", "overview/deep_dive/fix_failing_tests.rst", "overview/deep_dive/formatting.rst", "overview/deep_dive/function_arguments.rst", "overview/deep_dive/function_types.rst", "overview/deep_dive/function_wrapping.rst", "overview/deep_dive/gradients.rst", "overview/deep_dive/inplace_updates.rst", "overview/deep_dive/ivy_frontends.rst", "overview/deep_dive/ivy_frontends_tests.rst", "overview/deep_dive/ivy_lint.rst", "overview/deep_dive/ivy_tests.rst", "overview/deep_dive/navigating_the_code.rst", "overview/deep_dive/operating_modes.rst", "overview/deep_dive/superset_behaviour.rst", "overview/design.rst", "overview/design/building_blocks.rst", "overview/design/ivy_as_a_framework.rst", "overview/design/ivy_as_a_framework/ivy_array.rst", "overview/design/ivy_as_a_framework/ivy_container.rst", "overview/design/ivy_as_a_framework/ivy_stateful_api.rst", "overview/design/ivy_as_a_transpiler.rst", "overview/faq.rst", "overview/get_started.rst", "overview/glossary.rst", "overview/motivation.rst", "overview/motivation/ml_explosion.rst", "overview/motivation/standardization.rst", "overview/motivation/why_unify.rst", "overview/one_liners.rst", "overview/one_liners/trace.rst", "overview/one_liners/transpile.rst", "overview/one_liners/unify.rst", "overview/related_work.rst", "overview/related_work/api_standards.rst", "overview/related_work/compiler_infrastructure.rst", "overview/related_work/exchange_formats.rst", "overview/related_work/frameworks.rst", "overview/related_work/graph_tracers.rst", "overview/related_work/ml_unifying_companies.rst", "overview/related_work/multi_vendor_compiler_frameworks.rst", "overview/related_work/vendor_specific_apis.rst", "overview/related_work/vendor_specific_compilers.rst", "overview/related_work/what_does_ivy_add.rst", "overview/related_work/wrapper_frameworks.rst"], "titles": ["Demos", "TO REPLACE: Title", "Examples and Demos", "Ivy AlexNet demo", "# Ivy Bert Demo", "Image Segmentation with Ivy UNet", "Accelerating MMPreTrain models with JAX", "Using Ivy ResNet", "Accelerating PyTorch models with JAX", "Accelerating XGBoost with JAX", "Guides", "Transpiling a PyTorch model to build on top", "Transpiling a haiku model to build on top", "Transpiling a Tensorflow model to build on top", "Developing a convolutional network using Ivy", "Tutorials And Examples", "Learn the basics", "Write Ivy code", "Unify code", "Trace code", "Transpile code", "Lazy vs Eager", "How to use decorators", "Transpile any library", "Transpile any model", "Write a model using Ivy", "ODSC Ivy Demo", "Quickstart", "0.0: Unify", "0.1: Compile", "0.2: Transpile", "1.0: Lazy vs Eager", "1.1: Framework Selection", "1.2: As a Decorator", "1.3: Dynamic vs Static", "2.0: Kornia", "3.0: Perceiver", "3.1: Stable Diffusion", "Basic Operations with Ivy", "Compilation of a Basic Function", "Demo: Transpiling DeepMind\u2019s PerceiverIO", "Deepmind PerceiverIO on GPU", "End-to-End Training Pipeline in Ivy", "HuggingFace Tensorflow DeiT", "Ivy as a Transpiler Introduction", "Resnet 18", "Activations", "Conversions", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Image", "Layers", "Linear algebra", "Losses", "Manipulation", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "Wrapping", "Activations", "Base", "Conversions", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Image", "Layers", "Linear algebra", "Losses", "Manipulation", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "Wrapping", "Base", "Cp tensor", "Parafac2 tensor", "Tr tensor", "Tt tensor", "Tucker tensor", "Array", "Container", "Factorized tensor", "Nested array", "Base", "Elementwise", "Data classes", "Functions", "gelu", "hardswish", "leaky_relu", "log_softmax", "mish", "relu", "sigmoid", "softmax", "softplus", "softsign", "cmp_is", "cmp_isnot", "for_loop", "if_else", "try_except", "while_loop", "arange", "array", "asarray", "copy_array", "empty", "empty_like", "eye", "from_dlpack", "frombuffer", "full", "full_like", "linspace", "logspace", "meshgrid", "native_array", "one_hot", "ones", "ones_like", "to_dlpack", "tril", "triu", "triu_indices", "zeros", "zeros_like", "as_ivy_dtype", "as_native_dtype", "astype", "broadcast_arrays", "broadcast_to", "can_cast", "check_float", "closest_valid_dtype", "default_complex_dtype", "default_dtype", "default_float_dtype", "default_int_dtype", "default_uint_dtype", "dtype", "dtype_bits", "finfo", "function_supported_dtypes", "function_unsupported_dtypes", "iinfo", "infer_default_dtype", "invalid_dtype", "is_bool_dtype", "is_complex_dtype", "is_float_dtype", "is_hashable_dtype", "is_int_dtype", "is_native_dtype", "is_uint_dtype", "promote_types", "promote_types_of_inputs", "result_type", "set_default_complex_dtype", "set_default_dtype", "set_default_float_dtype", "set_default_int_dtype", "set_default_uint_dtype", "type_promote_arrays", "unset_default_complex_dtype", "unset_default_dtype", "unset_default_float_dtype", "unset_default_int_dtype", "unset_default_uint_dtype", "valid_dtype", "as_ivy_dev", "as_native_dev", "clear_cached_mem_on_dev", "default_device", "dev", "dev_util", "function_supported_devices", "function_unsupported_devices", "get_all_ivy_arrays_on_dev", "gpu_is_available", "handle_soft_device_variable", "num_cpu_cores", "num_gpus", "num_ivy_arrays_on_dev", "percent_used_mem_on_dev", "print_all_ivy_arrays_on_dev", "set_default_device", "set_soft_device_mode", "set_split_factor", "split_factor", "split_func_call", "to_device", "total_mem_on_dev", "tpu_is_available", "unset_default_device", "unset_soft_device_mode", "used_mem_on_dev", "abs", "acos", "acosh", "add", "angle", "asin", "asinh", "atan", "atan2", "atanh", "bitwise_and", "bitwise_invert", "bitwise_left_shift", "bitwise_or", "bitwise_right_shift", "bitwise_xor", "ceil", "cos", "cosh", "deg2rad", "divide", "equal", "erf", "exp", "exp2", "expm1", "floor", "floor_divide", "fmin", "fmod", "gcd", "greater", "greater_equal", "imag", "isfinite", "isinf", "isnan", "isreal", "lcm", "less", "less_equal", "log", "log10", "log1p", "log2", "logaddexp", "logaddexp2", "logical_and", "logical_not", "logical_or", "logical_xor", "maximum", "minimum", "multiply", "nan_to_num", "negative", "not_equal", "positive", "pow", "rad2deg", "real", "reciprocal", "remainder", "round", "sign", "sin", "sinh", "sqrt", "square", "subtract", "tan", "tanh", "trapz", "trunc", "trunc_divide", "celu", "elu", "hardshrink", "hardtanh", "logit", "logsigmoid", "prelu", "relu6", "scaled_tanh", "selu", "silu", "softshrink", "stanh", "tanhshrink", "threshold", "thresholded_relu", "blackman_window", "eye_like", "hamming_window", "hann_window", "indices", "kaiser_bessel_derived_window", "kaiser_window", "mel_weight_matrix", "ndenumerate", "ndindex", "polyval", "random_cp", "random_parafac2", "random_tr", "random_tt", "random_tucker", "tril_indices", "trilu", "unsorted_segment_mean", "unsorted_segment_min", "unsorted_segment_sum", "vorbis_window", "allclose", "amax", "amin", "binarizer", "conj", "copysign", "count_nonzero", "diff", "digamma", "erfc", "fix", "float_power", "fmax", "frexp", "gradient", "hypot", "isclose", "ldexp", "lerp", "lgamma", "modf", "nansum", "nextafter", "signbit", "sinc", "sparsify_tensor", "xlogy", "zeta", "reduce", "bind_custom_gradient_function", "jvp", "vjp", "Activations", "Constants", "Creation", "Data type", "Device", "Elementwise", "General", "Gradients", "Layers", "Linear algebra", "Losses", "Manipulation", "Meta", "Nest", "Norms", "Random", "Searching", "Set", "Sorting", "Sparse array", "Statistical", "Utility", "adaptive_avg_pool1d", "adaptive_avg_pool2d", "adaptive_max_pool2d", "area_interpolate", "avg_pool1d", "avg_pool2d", "avg_pool3d", "dct", "dft", "dropout1d", "dropout2d", "dropout3d", "embedding", "fft", "fft2", "generate_einsum_equation", "get_interpolate_kernel", "idct", "ifft", "ifftn", "interp", "interpolate", "max_pool1d", "max_pool2d", "max_pool3d", "max_unpool1d", "nearest_interpolate", "pool", "reduce_window", "rfft", "rfftn", "rnn", "sliding_window", "stft", "adjoint", "batched_outer", "cond", "diagflat", "dot", "eig", "eigh_tridiagonal", "eigvals", "general_inner_product", "higher_order_moment", "initialize_tucker", "khatri_rao", "kron", "kronecker", "make_svd_non_negative", "matrix_exp", "mode_dot", "multi_dot", "multi_mode_dot", "partial_tucker", "solve_triangular", "svd_flip", "tensor_train", "truncated_svd", "tt_matrix_to_tensor", "tucker", "huber_loss", "kl_div", "l1_loss", "log_poisson_loss", "poisson_nll_loss", "smooth_l1_loss", "soft_margin_loss", "as_strided", "associative_scan", "atleast_1d", "atleast_2d", "atleast_3d", "broadcast_shapes", "check_scalar", "choose", "column_stack", "concat_from_sequence", "dsplit", "dstack", "expand", "fill_diagonal", "flatten", "fliplr", "flipud", "fold", "heaviside", "hsplit", "hstack", "i0", "matricize", "moveaxis", "pad", "partial_fold", "partial_tensor_to_vec", "partial_unfold", "partial_vec_to_tensor", "put_along_axis", "rot90", "soft_thresholding", "take", "take_along_axis", "top_k", "trim_zeros", "unfold", "unique_consecutive", "vsplit", "vstack", "batch_norm", "group_norm", "instance_norm", "l1_normalize", "l2_normalize", "local_response_norm", "lp_normalize", "bernoulli", "beta", "dirichlet", "gamma", "poisson", "unravel_index", "invert_permutation", "lexsort", "is_ivy_sparse_array", "is_native_sparse_array", "native_sparse_array", "native_sparse_array_to_indices_values_and_shape", "bincount", "corrcoef", "cov", "cummax", "cummin", "histogram", "igamma", "median", "nanmean", "nanmedian", "nanmin", "nanprod", "quantile", "optional_get_element", "all_equal", "arg_info", "arg_names", "array_equal", "assert_supports_inplace", "cache_fn", "clip_matrix_norm", "clip_vector_norm", "container_types", "current_backend_str", "default", "einops_rearrange", "einops_reduce", "einops_repeat", "exists", "fourier_encode", "function_supported_devices_and_dtypes", "function_unsupported_devices_and_dtypes", "gather", "gather_nd", "get_all_arrays_in_memory", "get_item", "get_num_dims", "get_referrers_recursive", "has_nans", "inplace_arrays_supported", "inplace_decrement", "inplace_increment", "inplace_update", "inplace_variables_supported", "is_array", "is_ivy_array", "is_ivy_container", "is_ivy_nested_array", "is_native_array", "isin", "isscalar", "itemsize", "match_kwargs", "multiprocessing", "num_arrays_in_memory", "print_all_arrays_in_memory", "scatter_flat", "scatter_nd", "set_array_mode", "set_exception_trace_mode", "set_inplace_mode", "set_item", "set_min_base", "set_min_denominator", "set_nestable_mode", "set_precise_mode", "set_queue_timeout", "set_shape_array_mode", "set_show_func_wrapper_trace_mode", "set_tmp_dir", "shape", "stable_divide", "stable_pow", "strides", "supports_inplace_updates", "to_ivy_shape", "to_list", "to_native_shape", "to_numpy", "to_scalar", "try_else_none", "unset_array_mode", "unset_exception_trace_mode", "unset_inplace_mode", "unset_min_base", "unset_min_denominator", "unset_nestable_mode", "unset_precise_mode", "unset_queue_timeout", "unset_shape_array_mode", "unset_show_func_wrapper_trace_mode", "unset_tmp_dir", "value_is_nan", "vmap", "adam_step", "adam_update", "execute_with_gradients", "grad", "gradient_descent_update", "jac", "lamb_update", "lars_update", "optimizer_update", "stop_gradient", "value_and_grad", "Activations", "Constants", "Control flow ops", "Creation", "Data type", "Device", "Elementwise", "Experimental", "General", "Gradients", "Layers", "Linear algebra", "Losses", "Manipulation", "Meta", "Nest", "Norms", "Random", "Searching", "Set", "Sorting", "Statistical", "Utility", "conv", "conv1d", "conv1d_transpose", "conv2d", "conv2d_transpose", "conv3d", "conv3d_transpose", "conv_general_dilated", "conv_general_transpose", "depthwise_conv2d", "dropout", "linear", "lstm_update", "multi_head_attention", "nms", "roi_align", "scaled_dot_product_attention", "cholesky", "cross", "det", "diag", "diagonal", "eig", "eigh", "eigvalsh", "inner", "inv", "lu_factor", "matmul", "matrix_norm", "matrix_power", "matrix_rank", "matrix_transpose", "outer", "pinv", "qr", "slogdet", "solve", "svd", "svdvals", "tensordot", "tensorsolve", "trace", "vander", "vecdot", "vector_norm", "vector_to_skew_symmetric_matrix", "binary_cross_entropy", "cross_entropy", "sparse_cross_entropy", "clip", "concat", "constant_pad", "expand_dims", "flip", "permute_dims", "repeat", "reshape", "roll", "split", "squeeze", "stack", "swapaxes", "tile", "unstack", "zero_pad", "fomaml_step", "maml_step", "reptile_step", "all_nested_indices", "copy_nest", "duplicate_array_index_chains", "index_nest", "insert_into_nest_at_index", "insert_into_nest_at_indices", "map", "map_nest_at_index", "map_nest_at_indices", "multi_index_nest", "nested_any", "nested_argwhere", "nested_map", "nested_multi_map", "prune_empty", "prune_nest_at_index", "prune_nest_at_indices", "set_nest_at_index", "set_nest_at_indices", "layer_norm", "multinomial", "randint", "random_normal", "random_uniform", "seed", "shuffle", "argmax", "argmin", "argwhere", "nonzero", "where", "unique_all", "unique_counts", "unique_inverse", "unique_values", "argsort", "msort", "searchsorted", "sort", "cumprod", "cumsum", "einsum", "max", "mean", "min", "prod", "std", "sum", "var", "all", "any", "load", "save", "Assertions", "Available frameworks", "Function testing", "Globals", "Hypothesis helpers", "Array helpers", "Dtype helpers", "General helpers", "Number helpers", "Multiprocessing", "Pipeline helper", "Structs", "Test parameter flags", "Testing helpers", "Framework classes", "Utils", "Testing", "Activations", "Converters", "Helpers", "Initializers", "Layers", "Losses", "Module", "Norms", "Optimizers", "Sequential", "Assertions", "Backend", "Ast helpers", "Handler", "Sub backend handler", "Binaries", "Dynamic import", "Einsum parser", "Einsum path helpers", "Exceptions", "Inspection", "Logging", "Profiler", "Verbosity", "Home", "Contributing", "Building the Docs", "Error Handling", "Helpful Resources", "Open Tasks", "Setting Up", "The Basics", "Deep Dive", "Array API Tests", "Arrays", "Backend Setting", "Building the Docs Pipeline", "Containers", "Continuous Integration", "Data Types", "Devices", "Docstring Examples", "Docstrings", "Exception Handling", "Fix Failing Tests:", "Formatting", "Function Arguments", "Function Types", "Function Wrapping", "Gradients", "Inplace Updates", "Ivy Frontends", "Ivy Frontend Tests", "Ivy-Lint: Ivy\u2019s Custom Code Formatters", "Ivy Tests", "Navigating the Code", "Operating Modes", "Superset Behaviour", "Design", "Building Blocks", "Ivy as a Framework", "Ivy Array", "Ivy Container", "Ivy Stateful API", "Ivy as a Transpiler", "FAQ", "Get Started", "Glossary", "Motivation", "ML Explosion", "Standardization", "Why Unify?", "One liners", "ivy.trace_graph()", "ivy.transpile()", "ivy.unify()", "Related Work", "API Standards", "Compiler Infrastructure", "Exchange Formats", "Frameworks", "Graph Tracers", "ML-Unifying Companies", "Multi-Vendor Compiler Frameworks", "Vendor-Specific APIs", "Vendor-Specific Compilers", "What does Ivy Add?", "Wrapper Frameworks"], "terms": {"thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 41, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 160, 163, 166, 167, 168, 170, 174, 175, 189, 192, 202, 208, 209, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 361, 362, 363, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 377, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 404, 405, 406, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 427, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 568, 574, 579, 580, 581, 582, 584, 586, 587, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 707, 709, 711, 712, 717, 718, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 766, 775, 776, 778, 779, 781, 782, 783, 784, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "repo": [0, 11, 40, 803, 806, 808, 811, 813, 814, 819, 827, 829, 844], "hold": [0, 52, 53, 57, 65, 75, 80, 88, 92, 93, 328, 344, 349, 365, 380, 459, 487, 511, 512, 517, 564, 565, 621, 624, 634, 665, 745, 761, 837, 856], "all": [0, 1, 3, 4, 5, 7, 8, 11, 12, 13, 14, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 39, 40, 42, 43, 45, 47, 48, 52, 53, 56, 57, 59, 61, 66, 67, 69, 70, 71, 74, 75, 76, 79, 80, 82, 84, 89, 90, 92, 93, 121, 129, 136, 140, 141, 142, 196, 203, 235, 239, 267, 268, 322, 323, 335, 353, 362, 365, 368, 369, 371, 380, 401, 410, 412, 413, 414, 422, 427, 435, 436, 438, 441, 462, 473, 481, 486, 516, 522, 525, 542, 562, 563, 579, 586, 587, 601, 604, 616, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 631, 635, 646, 648, 649, 654, 667, 672, 673, 676, 681, 690, 694, 696, 702, 703, 704, 705, 706, 707, 716, 717, 718, 719, 725, 728, 733, 758, 760, 763, 764, 765, 766, 778, 779, 785, 788, 793, 795, 799, 800, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 851, 852, 853, 854, 855, 856, 858, 861, 862], "jupyt": [0, 845, 857], "exampl": [0, 6, 8, 17, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 42, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 170, 171, 172, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 401, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 431, 433, 436, 440, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 492, 493, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 771, 788, 792, 793, 797, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 819, 820, 822, 823, 825, 826, 829, 830, 834, 836, 837, 838, 839, 840, 846, 852, 853, 856, 858, 861, 862], "tab": [0, 804, 805, 813, 819, 837], "ivi": [0, 1, 2, 6, 8, 9, 11, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 34, 40, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 800, 801, 802, 803, 805, 807, 808, 810, 812, 814, 815, 817, 819, 820, 821, 822, 823, 825, 832, 833, 840, 842, 845, 846, 847, 851, 862], "": [0, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 38, 41, 43, 44, 45, 48, 52, 53, 54, 57, 65, 75, 77, 80, 88, 117, 134, 140, 141, 161, 162, 191, 194, 195, 207, 242, 277, 323, 328, 329, 330, 332, 342, 344, 350, 354, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 383, 384, 390, 396, 401, 412, 420, 424, 430, 439, 443, 445, 446, 462, 464, 465, 473, 489, 490, 491, 500, 510, 520, 538, 539, 545, 559, 581, 582, 603, 605, 606, 607, 608, 610, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 628, 634, 638, 640, 642, 644, 649, 656, 667, 674, 675, 681, 717, 751, 753, 764, 778, 779, 780, 781, 782, 783, 784, 788, 799, 800, 801, 802, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 842, 845, 846, 847, 848, 849, 850, 851, 854, 855, 856, 858, 859, 860, 861], "web": 0, "relev": [0, 48, 71, 133, 616, 783, 799, 804, 805, 806, 809, 812, 813, 814, 816, 819, 823, 824, 827, 828, 829, 837, 841, 845, 853, 860, 861], "link": [0, 17, 26, 27, 41, 799, 804, 805, 806, 811, 813, 814, 820, 826, 849, 851, 853], "list": [0, 4, 5, 6, 7, 9, 42, 47, 48, 49, 51, 52, 53, 56, 59, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 129, 131, 134, 135, 136, 138, 144, 148, 150, 163, 167, 168, 175, 191, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 335, 336, 338, 339, 342, 343, 344, 350, 351, 352, 354, 355, 356, 365, 368, 369, 371, 378, 386, 387, 388, 390, 391, 392, 393, 404, 405, 406, 407, 411, 413, 417, 422, 426, 429, 434, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 457, 458, 459, 468, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 502, 510, 511, 512, 513, 522, 524, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 542, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 585, 586, 587, 588, 600, 601, 606, 611, 616, 617, 618, 619, 621, 623, 624, 626, 628, 629, 632, 633, 637, 638, 639, 640, 641, 642, 645, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 676, 678, 683, 684, 685, 686, 687, 690, 693, 694, 695, 696, 697, 700, 701, 705, 706, 707, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 744, 745, 748, 750, 751, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 779, 785, 792, 793, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 818, 819, 820, 821, 822, 825, 826, 827, 829, 830, 834, 837, 838, 839, 840, 848, 855, 856, 861], "open": [0, 3, 5, 6, 7, 8, 23, 26, 27, 40, 41, 42, 43, 53, 61, 84, 121, 616, 630, 726, 728, 799, 800, 801, 805, 806, 811, 814, 817, 819, 826, 827, 832, 841, 844, 845, 846, 848, 849, 853, 854, 855, 857, 858], "task": [0, 43, 627, 702, 703, 704, 799, 800, 805, 806, 826, 827, 855, 861, 862], "avil": 0, "discuss": [0, 804, 806, 811, 814, 815, 825, 826, 828, 829, 832, 835, 836, 837, 840, 846, 851, 856], "suggest": [0, 804, 805, 806, 811, 814, 820, 824, 826, 829, 830, 831, 841], "new": [0, 6, 8, 10, 11, 13, 15, 18, 21, 22, 23, 24, 26, 27, 28, 42, 44, 47, 52, 53, 54, 59, 60, 69, 71, 75, 76, 77, 80, 82, 83, 125, 128, 130, 131, 136, 137, 138, 143, 144, 181, 224, 270, 272, 276, 328, 333, 344, 349, 365, 368, 371, 380, 403, 449, 457, 458, 472, 478, 517, 533, 534, 535, 537, 540, 541, 543, 564, 565, 568, 570, 577, 579, 580, 586, 603, 606, 608, 609, 610, 616, 617, 619, 621, 622, 623, 626, 628, 629, 649, 661, 669, 689, 693, 697, 710, 722, 723, 724, 776, 779, 782, 783, 788, 793, 799, 800, 804, 805, 806, 807, 809, 810, 812, 813, 814, 816, 817, 819, 820, 823, 825, 826, 827, 828, 829, 830, 832, 833, 836, 839, 841, 842, 844, 845, 846, 848, 853, 857, 861, 862], "should": [0, 4, 8, 9, 21, 22, 23, 24, 43, 46, 48, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 68, 69, 71, 74, 75, 76, 77, 79, 80, 82, 84, 85, 87, 88, 90, 92, 95, 97, 98, 108, 112, 120, 134, 136, 140, 141, 149, 174, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 296, 307, 323, 329, 330, 341, 345, 346, 347, 348, 352, 357, 358, 359, 360, 362, 365, 367, 368, 369, 370, 371, 375, 380, 383, 391, 392, 393, 395, 400, 411, 426, 435, 441, 447, 472, 473, 496, 497, 510, 511, 512, 527, 545, 550, 601, 603, 606, 608, 609, 610, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 643, 644, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 676, 678, 680, 681, 693, 709, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 744, 745, 746, 747, 748, 749, 750, 752, 753, 760, 761, 763, 765, 775, 776, 778, 779, 781, 782, 783, 784, 792, 793, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 843, 845, 849, 851, 852, 855, 857, 862], "comprehens": [0, 15, 806, 808, 828], "possibl": [0, 3, 32, 48, 52, 71, 75, 82, 92, 123, 242, 285, 306, 329, 330, 362, 365, 368, 370, 371, 390, 442, 451, 452, 453, 459, 461, 463, 464, 465, 472, 487, 560, 619, 621, 623, 634, 646, 689, 690, 691, 693, 695, 696, 698, 700, 747, 749, 763, 779, 793, 796, 799, 800, 802, 804, 805, 806, 808, 811, 812, 814, 816, 817, 819, 820, 822, 824, 825, 826, 827, 829, 832, 834, 837, 840, 845, 853, 855, 861], "us": [0, 1, 2, 3, 4, 6, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 65, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 82, 84, 85, 90, 92, 93, 95, 98, 105, 133, 136, 147, 159, 161, 162, 173, 174, 194, 195, 197, 202, 206, 207, 208, 209, 211, 214, 220, 228, 256, 257, 259, 260, 262, 263, 264, 266, 267, 269, 278, 282, 287, 306, 308, 309, 311, 312, 313, 321, 342, 345, 346, 349, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 390, 391, 392, 393, 394, 396, 401, 403, 404, 405, 406, 409, 411, 412, 413, 415, 420, 422, 426, 430, 432, 434, 435, 437, 438, 439, 441, 446, 463, 467, 471, 473, 481, 489, 491, 495, 496, 497, 498, 499, 500, 501, 502, 503, 510, 517, 520, 538, 539, 548, 549, 560, 561, 568, 570, 571, 573, 579, 580, 592, 593, 595, 602, 603, 608, 609, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 632, 634, 647, 649, 652, 657, 659, 667, 671, 675, 678, 681, 683, 692, 693, 694, 698, 702, 703, 704, 705, 707, 708, 714, 715, 716, 718, 725, 726, 727, 728, 730, 731, 732, 733, 736, 738, 746, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 788, 792, 793, 797, 800, 803, 806, 807, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 829, 830, 831, 832, 833, 834, 835, 836, 838, 839, 840, 842, 846, 850, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "easi": [0, 26, 27, 40, 805, 806, 809, 810, 812, 822, 824, 827, 829, 832, 845, 853, 855, 861, 862], "follow": [0, 9, 20, 21, 22, 24, 26, 27, 30, 31, 32, 38, 41, 42, 52, 53, 54, 56, 57, 63, 69, 75, 76, 77, 79, 80, 129, 160, 163, 208, 218, 235, 242, 268, 270, 277, 278, 313, 362, 368, 370, 371, 374, 390, 403, 411, 446, 461, 473, 489, 491, 548, 549, 550, 579, 580, 603, 606, 608, 609, 610, 616, 617, 618, 619, 621, 622, 623, 624, 628, 632, 649, 652, 665, 671, 681, 711, 717, 736, 737, 738, 739, 779, 783, 799, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 848, 852, 855, 858], "attract": 0, "visual": [0, 9, 44, 797, 799, 805, 819, 826, 829, 840, 855, 857, 860], "graph": [0, 3, 5, 7, 9, 15, 16, 19, 21, 23, 24, 27, 33, 34, 39, 44, 45, 63, 632, 736, 737, 738, 739, 771, 799, 812, 822, 826, 828, 832, 834, 839, 840, 842, 846, 847, 848, 849, 850, 851, 855, 858], "nice": [0, 829, 846, 855], "format": [0, 23, 24, 26, 27, 38, 40, 41, 42, 50, 53, 56, 65, 68, 69, 70, 73, 79, 95, 113, 158, 192, 368, 369, 379, 409, 440, 506, 533, 613, 617, 618, 621, 623, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 746, 756, 757, 758, 775, 799, 805, 806, 807, 813, 814, 815, 816, 817, 818, 826, 828, 837, 849, 851, 853, 855, 856], "result": [0, 3, 5, 6, 7, 8, 9, 11, 13, 21, 22, 23, 24, 26, 27, 38, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 174, 175, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 424, 425, 427, 428, 430, 431, 432, 433, 434, 436, 440, 442, 443, 444, 445, 447, 448, 450, 457, 458, 461, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 528, 529, 533, 534, 535, 540, 541, 545, 550, 557, 564, 565, 602, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 708, 711, 712, 714, 718, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 765, 771, 785, 793, 797, 799, 802, 804, 806, 808, 809, 811, 812, 813, 814, 816, 817, 819, 821, 822, 824, 825, 826, 827, 829, 830, 834, 837, 840, 848, 849, 850, 856, 858], "etc": [0, 29, 34, 41, 48, 52, 61, 63, 67, 71, 75, 84, 90, 124, 132, 133, 136, 368, 375, 396, 401, 412, 496, 497, 499, 500, 616, 630, 632, 725, 726, 727, 728, 736, 737, 738, 739, 763, 766, 778, 779, 780, 781, 782, 783, 784, 804, 805, 806, 808, 809, 810, 811, 812, 814, 816, 818, 821, 826, 827, 829, 830, 834, 836, 837, 840, 842, 846, 848, 853, 855, 861], "gener": [0, 5, 15, 19, 24, 26, 27, 29, 32, 40, 42, 44, 45, 48, 51, 52, 56, 61, 67, 71, 74, 75, 79, 84, 90, 93, 121, 132, 133, 142, 150, 235, 238, 248, 249, 264, 268, 277, 306, 309, 313, 314, 315, 317, 318, 319, 320, 321, 322, 329, 330, 362, 365, 368, 369, 371, 375, 380, 411, 417, 437, 481, 498, 510, 616, 617, 619, 623, 624, 626, 630, 634, 646, 672, 673, 676, 679, 701, 725, 726, 728, 729, 751, 763, 766, 771, 783, 792, 804, 805, 806, 807, 808, 809, 811, 814, 815, 816, 817, 818, 821, 822, 825, 826, 827, 830, 833, 834, 836, 838, 839, 840, 842, 853, 854, 855, 856, 857, 858, 859, 860, 861], "tone": [0, 4], "feel": [0, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 841, 848], "free": [0, 5, 40, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 801, 802, 803, 804, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 841, 848, 856, 858], "includ": [0, 9, 15, 19, 29, 34, 48, 51, 52, 53, 57, 62, 65, 66, 69, 71, 74, 75, 76, 80, 85, 88, 89, 121, 122, 123, 132, 133, 135, 142, 215, 239, 243, 244, 245, 248, 250, 253, 261, 269, 282, 287, 308, 311, 312, 313, 316, 322, 325, 327, 329, 330, 334, 335, 336, 338, 339, 340, 341, 343, 345, 346, 348, 349, 350, 351, 354, 355, 362, 365, 368, 371, 380, 386, 387, 388, 418, 421, 423, 464, 465, 467, 470, 472, 474, 477, 498, 500, 501, 509, 513, 515, 516, 518, 519, 520, 546, 600, 616, 619, 621, 624, 628, 630, 631, 634, 635, 658, 679, 681, 705, 728, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 766, 778, 779, 782, 795, 799, 804, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 845, 848, 849, 852, 853, 855, 857, 860, 861, 862], "emoji": [0, 804], "don": [0, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 40, 42, 67, 90, 799, 804, 805, 806, 813, 814, 815, 820, 824, 829, 832, 838, 840, 841, 846, 848], "t": [0, 4, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 38, 40, 41, 42, 52, 56, 67, 75, 79, 90, 92, 93, 97, 342, 357, 365, 367, 369, 422, 550, 568, 582, 604, 621, 622, 623, 628, 647, 648, 713, 758, 779, 799, 801, 804, 805, 806, 807, 809, 810, 812, 813, 814, 815, 816, 819, 820, 822, 823, 824, 825, 829, 830, 832, 834, 836, 837, 838, 839, 840, 841, 845, 846, 848, 849, 850, 853, 855, 857], "keep": [0, 1, 11, 13, 17, 23, 24, 26, 52, 59, 69, 75, 82, 92, 95, 353, 369, 441, 626, 700, 803, 804, 805, 806, 808, 811, 812, 813, 818, 825, 826, 829, 830, 832, 837, 839, 841, 849], "thing": [0, 24, 38, 40, 792, 803, 804, 805, 806, 810, 826, 829, 832, 836, 837, 844, 845, 846, 855], "super": [0, 3, 5, 11, 13, 26, 27, 40, 52, 75, 369, 422, 799, 818, 834, 837, 838, 839, 849], "seriou": 0, "given": [0, 3, 17, 26, 39, 52, 53, 58, 59, 61, 69, 75, 76, 77, 81, 82, 84, 92, 93, 95, 97, 98, 121, 125, 132, 133, 153, 154, 155, 156, 157, 169, 174, 193, 202, 204, 206, 207, 208, 210, 214, 287, 316, 325, 328, 334, 335, 342, 343, 344, 346, 349, 362, 365, 368, 369, 370, 371, 374, 375, 380, 386, 387, 388, 389, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 412, 422, 427, 440, 443, 444, 445, 447, 448, 449, 450, 460, 461, 462, 469, 471, 483, 488, 492, 493, 494, 495, 496, 497, 498, 499, 500, 510, 511, 512, 513, 519, 541, 545, 564, 565, 575, 602, 603, 606, 608, 609, 610, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 682, 683, 684, 685, 686, 689, 690, 691, 692, 694, 695, 699, 700, 712, 713, 722, 723, 726, 727, 728, 730, 742, 743, 744, 745, 758, 763, 764, 765, 766, 771, 775, 776, 778, 779, 781, 782, 783, 784, 785, 792, 793, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 835, 836, 838, 845, 846, 852, 857, 858, 861, 862], "an": [0, 2, 3, 8, 9, 15, 16, 17, 19, 21, 22, 23, 24, 26, 27, 32, 38, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 74, 75, 76, 80, 81, 82, 84, 85, 86, 88, 89, 90, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 117, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 160, 163, 166, 170, 174, 175, 205, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 310, 311, 312, 314, 315, 322, 323, 324, 325, 326, 327, 329, 330, 332, 335, 338, 343, 347, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 399, 401, 403, 404, 405, 406, 409, 410, 411, 412, 413, 414, 415, 416, 418, 421, 422, 423, 445, 446, 450, 451, 452, 453, 457, 458, 459, 461, 468, 472, 473, 479, 481, 486, 487, 489, 490, 491, 494, 496, 497, 499, 502, 503, 508, 509, 510, 511, 512, 513, 514, 517, 518, 521, 526, 528, 529, 537, 540, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 559, 565, 568, 569, 578, 582, 586, 587, 588, 601, 604, 611, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 711, 724, 726, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 766, 768, 771, 775, 776, 778, 779, 781, 782, 783, 784, 793, 799, 801, 802, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 841, 842, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 858, 859, 861, 862], "intern": [0, 9, 69, 100, 101, 102, 628, 705, 715, 716, 778, 779, 780, 781, 782, 784, 809, 812, 815, 817, 825, 827, 829, 831], "releas": [0, 41, 804, 805, 814, 830, 832, 840, 846, 855, 861], "tracer": [0, 3, 5, 7, 8, 21, 22, 23, 24, 27, 43, 45, 799, 826, 833, 835, 840, 842, 849, 850, 851], "i": [0, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 160, 161, 162, 163, 165, 166, 167, 168, 169, 170, 171, 172, 175, 187, 189, 191, 192, 194, 195, 197, 199, 202, 207, 208, 209, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 293, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 309, 310, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 381, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 396, 399, 401, 403, 404, 405, 406, 407, 410, 411, 412, 413, 414, 415, 419, 420, 421, 422, 424, 425, 426, 427, 429, 432, 433, 434, 435, 436, 437, 438, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 471, 472, 473, 474, 476, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 502, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 560, 561, 564, 565, 566, 568, 574, 578, 579, 580, 582, 584, 586, 587, 588, 600, 601, 603, 604, 605, 606, 608, 609, 610, 611, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 711, 712, 713, 714, 715, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 785, 788, 789, 792, 793, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "around": [0, 10, 11, 13, 15, 52, 69, 75, 98, 371, 473, 481, 804, 806, 808, 809, 811, 815, 821, 822, 826, 830, 836, 840, 842, 848, 853, 855, 862], "corner": [0, 52, 75, 368, 403, 805, 806, 819, 826], "anybodi": 0, "abl": [0, 3, 5, 28, 32, 43, 45, 69, 92, 805, 806, 808, 814, 819, 822, 825, 826, 830, 834, 839, 848, 858, 861], "start": [0, 1, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 41, 42, 48, 52, 69, 71, 75, 79, 121, 129, 132, 133, 346, 356, 365, 366, 368, 371, 380, 410, 463, 466, 474, 476, 485, 519, 616, 765, 792, 800, 804, 805, 806, 807, 813, 814, 816, 817, 819, 820, 821, 826, 829, 832, 833, 834, 836, 837, 838, 840, 848, 849, 855, 861], "work": [0, 24, 26, 27, 38, 39, 41, 45, 47, 52, 75, 92, 380, 520, 624, 628, 675, 712, 713, 717, 722, 723, 799, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 819, 825, 826, 827, 829, 830, 833, 834, 836, 838, 839, 841, 846, 848, 849, 850, 853, 855, 857, 859, 862], "shortli": 0, "so": [0, 1, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 38, 40, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 365, 368, 371, 378, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 623, 628, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 716, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 793, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 844, 845, 848, 849, 850, 855, 856, 857, 859], "worri": [0, 26, 27, 804, 805, 820], "about": [0, 15, 16, 17, 20, 22, 24, 26, 27, 30, 41, 42, 49, 72, 160, 163, 617, 799, 801, 803, 804, 805, 806, 807, 808, 811, 813, 814, 815, 820, 821, 825, 827, 828, 829, 830, 831, 832, 833, 834, 836, 837, 838, 839, 840, 846, 850, 856, 857, 860], "have": [0, 1, 3, 4, 5, 6, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 30, 38, 40, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 160, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 337, 341, 343, 345, 346, 347, 348, 352, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 412, 416, 418, 419, 421, 422, 427, 428, 431, 432, 433, 434, 439, 442, 443, 444, 445, 446, 447, 448, 452, 453, 458, 459, 461, 466, 474, 475, 476, 477, 479, 481, 483, 485, 492, 493, 495, 496, 497, 499, 500, 501, 503, 510, 511, 512, 513, 517, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 568, 602, 603, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 775, 776, 778, 779, 781, 782, 783, 784, 792, 793, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 850, 851, 852, 853, 854, 855, 857, 861, 862], "access": [0, 23, 26, 27, 69, 799, 804, 805, 806, 813, 814, 820, 825, 826, 841, 849, 855, 857, 859], "transpil": [0, 6, 7, 8, 10, 15, 16, 19, 29, 770, 771, 804, 805, 818, 819, 826, 833, 834, 835, 842, 847, 848, 850, 855, 861, 862], "code": [0, 4, 6, 7, 8, 15, 16, 23, 24, 26, 28, 29, 30, 31, 32, 33, 40, 41, 50, 51, 69, 73, 74, 98, 209, 255, 380, 517, 526, 534, 535, 550, 564, 568, 582, 618, 621, 623, 624, 626, 645, 666, 667, 668, 697, 797, 799, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 827, 829, 832, 833, 834, 835, 836, 837, 838, 839, 840, 842, 844, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 858, 859, 860, 861, 862], "now": [0, 4, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 42, 779, 780, 781, 799, 805, 808, 809, 810, 811, 812, 813, 814, 815, 819, 821, 823, 826, 827, 829, 830, 832, 836, 837, 839, 840, 846, 848, 849, 850, 855], "you": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 43, 44, 45, 52, 53, 75, 76, 92, 97, 98, 371, 380, 461, 517, 540, 541, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 649, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 855], "can": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41, 42, 45, 48, 49, 52, 53, 57, 59, 61, 63, 71, 72, 75, 76, 80, 82, 84, 86, 92, 93, 107, 110, 122, 123, 133, 135, 150, 189, 206, 207, 208, 296, 313, 360, 362, 368, 369, 370, 374, 375, 378, 380, 390, 403, 427, 432, 434, 439, 446, 458, 489, 497, 498, 503, 510, 557, 568, 601, 604, 613, 616, 617, 618, 621, 622, 623, 624, 626, 630, 649, 657, 664, 674, 678, 693, 697, 726, 727, 728, 736, 760, 763, 764, 765, 766, 771, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 852, 853, 854, 855, 856, 858, 859, 861, 862], "style": [0, 9, 40, 42, 371, 473, 631, 734, 806, 820, 855], "stori": 0, "If": [0, 1, 3, 4, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 41, 44, 45, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 93, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 134, 136, 137, 138, 140, 141, 142, 143, 144, 147, 148, 149, 150, 175, 191, 207, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 322, 323, 325, 328, 329, 330, 331, 332, 334, 335, 336, 339, 343, 344, 349, 350, 352, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 396, 399, 401, 403, 404, 405, 406, 411, 412, 413, 415, 420, 422, 424, 426, 427, 432, 434, 436, 437, 439, 440, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 468, 472, 478, 479, 480, 481, 482, 483, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 569, 579, 580, 582, 584, 586, 587, 600, 601, 604, 606, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 656, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 717, 718, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 778, 779, 781, 782, 788, 793, 799, 800, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 839, 840, 841, 844, 848, 849, 850], "anyon": [0, 799, 800, 806, 813, 840, 845, 861], "ha": [0, 3, 5, 7, 8, 9, 11, 13, 17, 19, 23, 26, 27, 29, 32, 34, 38, 45, 48, 52, 57, 59, 63, 65, 69, 72, 75, 76, 80, 82, 86, 88, 92, 134, 191, 215, 235, 238, 240, 242, 252, 268, 270, 275, 278, 280, 281, 285, 324, 325, 326, 362, 369, 370, 371, 380, 403, 436, 445, 456, 480, 482, 486, 509, 511, 512, 514, 546, 616, 618, 619, 623, 624, 626, 631, 632, 634, 648, 649, 664, 665, 673, 674, 676, 678, 681, 689, 696, 734, 737, 738, 739, 744, 745, 748, 750, 751, 752, 753, 763, 766, 788, 804, 806, 808, 810, 811, 812, 813, 814, 815, 816, 817, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 838, 839, 840, 841, 844, 845, 846, 848, 850, 851, 854, 855, 857, 858, 861], "ani": [0, 5, 7, 11, 13, 15, 16, 17, 18, 19, 28, 29, 32, 38, 39, 40, 41, 42, 44, 45, 47, 48, 50, 51, 52, 53, 57, 66, 67, 71, 73, 74, 75, 76, 89, 90, 92, 97, 98, 117, 118, 120, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 150, 151, 166, 170, 174, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 374, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 412, 413, 422, 427, 462, 473, 481, 489, 490, 491, 510, 513, 516, 517, 518, 522, 532, 533, 534, 535, 536, 540, 544, 546, 548, 552, 554, 555, 573, 580, 587, 588, 595, 601, 611, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 708, 711, 712, 714, 715, 722, 724, 728, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 758, 761, 765, 775, 776, 778, 779, 781, 782, 783, 784, 788, 792, 793, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 853, 854, 855, 856, 858, 861, 862], "question": [0, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 844, 845, 846], "ping": 0, "me": [0, 806], "guillermo": 0, "commun": [0, 41, 800, 804, 805, 806, 840, 845, 854, 855, 857], "ux": 0, "team": [0, 799, 800, 804, 805, 806, 826, 841, 857], "discord": [0, 41, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846], "channel": [0, 24, 42, 52, 53, 56, 75, 76, 79, 97, 98, 368, 374, 391, 392, 393, 403, 489, 490, 491, 494, 533, 537, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 775, 776, 778, 779, 781, 782, 783, 784, 806, 811, 819, 828], "To": [0, 7, 8, 9, 11, 13, 17, 21, 22, 23, 24, 26, 27, 38, 41, 42, 43, 93, 242, 370, 445, 574, 619, 621, 778, 804, 805, 808, 809, 810, 811, 814, 816, 818, 819, 820, 822, 823, 826, 827, 828, 829, 830, 837, 838, 839, 841, 848, 849], "ensur": [0, 7, 8, 11, 13, 21, 22, 23, 24, 52, 53, 75, 76, 368, 369, 404, 405, 406, 437, 550, 621, 758, 799, 804, 805, 806, 809, 814, 815, 816, 818, 820, 821, 823, 825, 826, 827, 828, 829, 830, 841, 855], "similar": [0, 17, 26, 27, 277, 619, 623, 649, 779, 802, 804, 805, 812, 813, 814, 815, 818, 819, 820, 822, 823, 824, 826, 827, 829, 830, 837, 840, 844, 849, 851, 852, 853, 854, 861], "ar": [0, 1, 3, 4, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 41, 43, 44, 47, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 69, 71, 74, 75, 76, 79, 80, 82, 84, 85, 86, 92, 93, 97, 98, 121, 131, 133, 136, 142, 196, 201, 203, 208, 232, 234, 235, 238, 242, 263, 264, 268, 273, 274, 278, 280, 285, 286, 287, 322, 324, 325, 326, 328, 331, 333, 334, 335, 338, 339, 344, 349, 352, 356, 361, 362, 363, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 377, 380, 384, 390, 391, 392, 393, 396, 401, 403, 411, 412, 421, 422, 426, 434, 435, 437, 441, 442, 446, 447, 451, 452, 453, 463, 464, 465, 467, 473, 476, 480, 481, 489, 491, 496, 497, 498, 499, 500, 510, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 536, 542, 547, 551, 562, 563, 572, 582, 594, 604, 616, 618, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 646, 647, 649, 652, 654, 658, 659, 660, 664, 665, 667, 670, 671, 674, 675, 679, 680, 681, 686, 687, 690, 694, 696, 706, 711, 716, 717, 718, 726, 727, 728, 731, 732, 733, 734, 736, 738, 758, 760, 763, 764, 765, 766, 771, 778, 781, 784, 785, 792, 793, 796, 797, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 850, 851, 852, 855, 856, 857, 858, 859, 860, 861, 862], "across": [0, 7, 8, 9, 21, 22, 23, 24, 38, 62, 69, 76, 85, 97, 206, 207, 235, 242, 268, 286, 374, 491, 494, 525, 546, 581, 618, 619, 621, 623, 628, 631, 646, 649, 711, 731, 732, 779, 804, 808, 814, 816, 818, 821, 822, 824, 829, 832, 853, 855, 860], "templat": [0, 799, 811, 817, 829], "help": [0, 15, 42, 44, 49, 523, 568, 621, 634, 752, 778, 799, 800, 801, 804, 805, 809, 810, 811, 812, 813, 814, 816, 820, 822, 823, 825, 826, 829, 830, 836, 837, 838, 841, 842, 851, 855, 857, 861], "get": [0, 3, 4, 6, 7, 8, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 40, 41, 43, 49, 50, 57, 69, 73, 80, 97, 158, 159, 160, 163, 191, 192, 193, 196, 202, 207, 210, 214, 371, 478, 524, 542, 563, 581, 617, 618, 621, 624, 628, 681, 707, 763, 778, 779, 792, 800, 803, 804, 805, 807, 808, 813, 814, 815, 819, 822, 823, 824, 825, 826, 827, 828, 829, 834, 835, 836, 837, 838, 842, 846, 849, 850, 855, 861], "It": [0, 3, 8, 9, 18, 21, 22, 23, 24, 26, 27, 28, 29, 38, 39, 40, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 337, 341, 343, 345, 346, 347, 348, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 381, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 416, 418, 419, 427, 428, 431, 432, 433, 434, 442, 443, 444, 445, 447, 448, 458, 461, 466, 474, 475, 476, 477, 479, 481, 485, 489, 492, 493, 495, 496, 497, 499, 500, 510, 511, 512, 513, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 566, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 673, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 704, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 743, 744, 745, 748, 750, 751, 753, 754, 755, 778, 779, 799, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 816, 817, 823, 825, 826, 827, 828, 829, 830, 831, 832, 834, 836, 837, 838, 847, 850, 853, 855, 856, 858, 859, 860, 861, 862], "locat": [0, 42, 136, 380, 511, 616, 628, 630, 633, 709, 725, 742, 793, 804, 806, 810, 811, 815, 826, 827, 829, 830, 841, 853], "asset": [0, 842], "01_templat": 0, "ipynb": 0, "pleas": [0, 32, 41, 45, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846], "make": [0, 3, 5, 6, 7, 8, 9, 18, 26, 27, 28, 40, 44, 52, 75, 368, 411, 788, 799, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 841, 845, 846, 849, 853, 855, 856, 857, 858, 861, 862], "copi": [0, 42, 45, 48, 49, 50, 51, 52, 53, 59, 69, 71, 72, 73, 74, 75, 76, 82, 92, 96, 122, 123, 124, 128, 139, 147, 209, 269, 371, 449, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 569, 579, 586, 587, 616, 617, 618, 619, 621, 626, 628, 633, 689, 690, 691, 693, 695, 696, 698, 700, 706, 741, 743, 771, 793, 805, 806, 808, 810, 813, 814, 817, 826, 827, 834, 840, 848, 849, 850], "firstli": [0, 18, 19, 22, 28, 29, 33, 38, 809, 814, 816, 817, 818, 822, 823, 825, 832, 837, 851, 861], "updat": [0, 4, 5, 6, 8, 9, 20, 21, 22, 23, 24, 26, 27, 40, 42, 47, 53, 54, 69, 76, 77, 92, 371, 478, 550, 564, 565, 568, 569, 591, 602, 603, 606, 608, 609, 610, 621, 622, 623, 627, 628, 646, 648, 702, 703, 704, 712, 713, 717, 722, 723, 771, 776, 782, 783, 788, 793, 799, 804, 805, 806, 807, 808, 809, 812, 813, 814, 816, 821, 823, 824, 826, 827, 829, 832, 834, 836, 837, 839, 840], "file": [0, 40, 41, 42, 53, 69, 577, 599, 621, 781, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 815, 817, 818, 819, 820, 822, 826, 827, 828, 829, 830, 834, 837, 841, 851, 854, 855, 856], "name": [0, 6, 26, 27, 38, 40, 41, 42, 52, 57, 63, 67, 75, 80, 86, 90, 242, 368, 369, 371, 415, 421, 483, 486, 523, 524, 619, 621, 624, 632, 658, 659, 663, 671, 672, 674, 675, 679, 736, 737, 738, 760, 764, 771, 781, 788, 789, 791, 804, 805, 806, 810, 811, 812, 813, 816, 817, 818, 821, 826, 827, 829, 830, 831, 832, 834, 837, 839, 855], "match": [0, 49, 52, 69, 72, 75, 147, 242, 277, 333, 335, 365, 368, 371, 412, 456, 478, 482, 560, 617, 619, 621, 624, 659, 660, 665, 681, 758, 802, 804, 809, 811, 812, 816, 819, 827, 856, 861], "topic": [0, 15, 18, 19, 20, 28, 29, 30, 31, 32, 33, 823, 836, 855], "your": [0, 2, 3, 4, 6, 8, 9, 11, 13, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 30, 38, 40, 42, 44, 799, 800, 802, 803, 804, 805, 808, 810, 811, 813, 817, 819, 820, 824, 826, 828, 830, 832, 837, 838, 840, 841, 845, 846, 848, 849, 855], "Then": [0, 45, 623, 649, 801, 804, 805, 806, 810, 811, 813, 819, 820, 823, 825, 829, 830, 840], "place": [0, 7, 8, 21, 22, 23, 24, 40, 47, 48, 51, 52, 53, 57, 59, 69, 71, 73, 74, 75, 76, 80, 82, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 269, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 306, 307, 310, 322, 323, 328, 329, 330, 332, 335, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 463, 473, 478, 481, 497, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 549, 550, 564, 568, 582, 587, 591, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 783, 799, 802, 803, 806, 807, 808, 811, 812, 813, 815, 816, 817, 819, 821, 822, 826, 827, 829, 830, 832, 839, 842, 857], "its": [0, 8, 17, 19, 26, 27, 29, 32, 39, 40, 42, 47, 49, 52, 59, 69, 72, 75, 76, 82, 95, 107, 110, 113, 118, 148, 153, 154, 155, 156, 157, 208, 235, 268, 287, 296, 360, 368, 371, 380, 407, 415, 486, 513, 537, 585, 613, 615, 617, 618, 619, 621, 624, 626, 628, 664, 689, 693, 694, 698, 711, 760, 793, 799, 804, 805, 809, 812, 813, 814, 815, 817, 818, 819, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 839, 840, 842, 848, 854, 855, 861], "folder": [0, 7, 8, 21, 22, 23, 24, 42, 799, 805, 806, 808, 811, 813, 819, 822, 826, 829, 830, 831], "next": [0, 5, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 40, 42, 52, 75, 160, 341, 345, 350, 354, 365, 617, 778, 783, 799, 804, 805, 806, 810, 814, 816, 817, 819, 820, 823, 835, 836, 837, 846, 855, 857], "edit": [0, 804, 805, 806, 820], "titl": [0, 9, 12, 14, 25, 41, 44, 799, 804, 806, 811], "descript": [0, 1, 35, 36, 37, 42, 45, 48, 51, 52, 57, 74, 75, 80, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 806, 817, 824, 825], "accordingli": [0, 52, 57, 62, 63, 65, 66, 75, 80, 85, 88, 89, 134, 235, 240, 242, 258, 268, 282, 329, 330, 365, 616, 619, 624, 631, 632, 634, 635, 681, 732, 736, 737, 738, 739, 747, 748, 749, 750, 751, 752, 753, 754, 755, 826, 834, 841], "thei": [0, 9, 33, 38, 43, 52, 57, 61, 63, 69, 80, 84, 86, 173, 287, 339, 365, 617, 619, 624, 627, 630, 632, 679, 702, 703, 725, 736, 758, 784, 799, 803, 804, 805, 807, 808, 810, 811, 812, 813, 814, 815, 816, 818, 820, 822, 823, 825, 826, 829, 830, 832, 834, 836, 837, 838, 839, 840, 848, 852, 855, 857, 858, 861, 862], "render": [0, 811, 817], "correctli": [0, 23, 26, 27, 40, 52, 57, 62, 75, 80, 85, 334, 365, 380, 516, 517, 518, 519, 520, 624, 631, 665, 731, 804, 805, 806, 809, 812, 814, 816, 818, 820, 821, 827, 829, 832, 838, 840, 848, 849], "webpag": [0, 15], "content": [0, 1, 12, 14, 25, 26, 41, 42, 52, 69, 75, 380, 517, 804, 806, 811, 815, 825, 828, 834, 837, 841], "behind": [0, 17, 26, 799, 807, 821, 829, 833, 835], "exist": [0, 17, 26, 27, 40, 41, 42, 45, 48, 52, 53, 69, 71, 75, 76, 82, 123, 371, 451, 452, 458, 459, 461, 463, 464, 465, 472, 487, 532, 568, 621, 626, 687, 689, 690, 691, 693, 695, 696, 698, 700, 783, 785, 799, 804, 805, 808, 810, 815, 816, 817, 822, 823, 825, 826, 829, 832, 834, 840, 842, 844, 845, 853, 855, 858, 861], "cell": [0, 1, 3, 4, 5, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 41, 56, 79, 623, 648, 779, 813, 834], "where": [0, 6, 19, 23, 29, 30, 34, 42, 48, 51, 52, 53, 57, 59, 61, 62, 65, 66, 69, 71, 74, 75, 76, 80, 82, 84, 85, 88, 89, 92, 93, 130, 131, 134, 136, 142, 223, 233, 235, 238, 240, 242, 243, 252, 257, 258, 259, 266, 267, 268, 273, 275, 279, 281, 285, 294, 296, 322, 324, 325, 326, 340, 344, 351, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 382, 383, 384, 390, 395, 396, 400, 415, 421, 422, 426, 427, 429, 435, 441, 442, 451, 452, 453, 467, 473, 489, 490, 491, 494, 496, 497, 499, 500, 510, 518, 519, 520, 550, 564, 601, 616, 619, 621, 623, 624, 626, 628, 630, 631, 634, 635, 649, 654, 658, 659, 663, 665, 667, 669, 670, 671, 674, 675, 678, 680, 686, 688, 689, 691, 697, 701, 709, 716, 725, 726, 727, 728, 733, 734, 749, 751, 753, 754, 755, 763, 778, 782, 793, 799, 800, 802, 805, 806, 808, 809, 810, 811, 812, 814, 815, 817, 818, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 841, 844, 845, 846, 848, 853, 862], "The": [0, 3, 5, 6, 7, 8, 9, 15, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 39, 40, 42, 43, 44, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 128, 129, 131, 133, 136, 138, 139, 140, 141, 142, 144, 145, 146, 147, 148, 150, 152, 153, 154, 155, 156, 157, 159, 161, 162, 163, 165, 167, 168, 169, 172, 173, 175, 176, 178, 179, 180, 181, 187, 188, 189, 190, 191, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 339, 341, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 418, 419, 420, 421, 422, 424, 426, 436, 437, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 460, 462, 463, 464, 465, 469, 472, 473, 478, 479, 481, 482, 483, 484, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 499, 501, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 523, 525, 526, 527, 528, 529, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 559, 561, 564, 565, 568, 570, 571, 574, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 766, 771, 775, 776, 778, 779, 781, 782, 783, 788, 792, 793, 799, 800, 801, 802, 804, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 827, 829, 830, 832, 833, 834, 837, 838, 839, 841, 842, 843, 844, 846, 848, 849, 850, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862], "h2": [0, 1, 12, 14, 25], "tag": [0, 1, 12, 14, 25, 805, 806], "section": [0, 1, 8, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 46, 52, 63, 75, 107, 368, 371, 401, 412, 459, 468, 487, 632, 736, 737, 738, 739, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 828, 829, 830, 832, 833, 837, 838, 850, 851, 858, 861], "h3": [0, 1, 12, 14, 25], "subsect": [0, 1, 12, 14, 25, 804, 805, 806, 808, 813], "step": [0, 1, 12, 13, 14, 25, 26, 27, 38, 40, 41, 42, 52, 54, 71, 75, 77, 121, 132, 368, 371, 413, 415, 467, 602, 603, 606, 608, 609, 610, 616, 622, 627, 702, 703, 704, 783, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 819, 824, 826, 829, 834, 837, 838, 839, 846, 855], "explan": [0, 1, 12, 14, 25, 804, 805, 806, 812, 817, 821, 826, 830, 836], "go": [0, 4, 11, 13, 17, 24, 27, 32, 47, 52, 75, 79, 368, 410, 414, 628, 716, 717, 799, 800, 802, 804, 805, 806, 807, 810, 811, 814, 816, 819, 820, 826, 827, 829, 830, 833, 837, 840, 851, 855, 856, 860, 862], "default": [0, 3, 5, 26, 27, 40, 41, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 95, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 167, 168, 173, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 191, 192, 194, 195, 199, 202, 203, 204, 206, 207, 208, 209, 212, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 383, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 418, 419, 420, 422, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 456, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 560, 561, 564, 565, 568, 569, 574, 578, 579, 580, 582, 584, 586, 587, 600, 601, 602, 603, 604, 605, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 784, 792, 793, 804, 805, 806, 810, 811, 814, 815, 816, 817, 818, 821, 822, 826, 829, 832, 834, 838, 842, 848, 855], "which": [0, 3, 8, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 39, 40, 41, 42, 43, 44, 46, 48, 49, 50, 51, 52, 53, 54, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 95, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 143, 144, 148, 150, 152, 158, 160, 163, 165, 168, 175, 187, 192, 196, 201, 203, 206, 207, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 316, 319, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 341, 343, 344, 345, 346, 348, 349, 350, 352, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 410, 411, 412, 414, 419, 422, 432, 435, 436, 437, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 478, 479, 480, 481, 482, 483, 489, 491, 492, 493, 495, 496, 497, 498, 499, 500, 502, 503, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 557, 562, 563, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 671, 672, 673, 674, 678, 680, 681, 683, 684, 685, 686, 687, 689, 690, 692, 693, 694, 695, 696, 697, 700, 701, 710, 711, 712, 713, 718, 720, 721, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 775, 776, 778, 779, 780, 781, 782, 783, 784, 788, 789, 795, 799, 801, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 833, 834, 836, 837, 838, 839, 840, 841, 842, 844, 845, 846, 848, 849, 851, 852, 853, 854, 855, 856, 858, 860, 861, 862], "text": [0, 4, 7, 9, 40, 52, 53, 369, 434, 804, 806, 811, 816, 817], "paragraph": [0, 1, 12, 14, 25, 811], "p": [0, 1, 12, 14, 25, 38, 52, 53, 57, 75, 76, 80, 93, 134, 239, 369, 374, 418, 495, 528, 529, 616, 619, 621, 624, 628, 665, 681, 713, 779, 799, 805, 806, 807], "without": [0, 3, 9, 29, 38, 42, 45, 63, 69, 95, 574, 588, 621, 626, 628, 632, 693, 706, 736, 737, 738, 739, 763, 766, 792, 805, 806, 809, 810, 812, 813, 814, 815, 816, 818, 821, 822, 826, 829, 830, 832, 836, 837, 838, 840, 848, 852, 855, 856, 857, 861], "path": [0, 7, 8, 9, 21, 22, 23, 24, 41, 42, 760, 771, 787, 805, 811, 825, 826, 827, 841, 855], "correspond": [0, 3, 6, 8, 13, 26, 27, 41, 49, 51, 52, 53, 56, 59, 62, 63, 65, 69, 72, 74, 75, 79, 82, 88, 92, 95, 98, 148, 160, 163, 223, 273, 287, 325, 338, 339, 362, 365, 368, 369, 371, 374, 380, 390, 396, 407, 412, 418, 421, 422, 423, 440, 464, 465, 489, 490, 491, 494, 511, 512, 579, 601, 617, 619, 621, 623, 624, 626, 630, 631, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 654, 658, 659, 665, 672, 673, 693, 694, 725, 731, 732, 736, 737, 738, 739, 744, 745, 750, 751, 752, 753, 760, 763, 765, 792, 799, 804, 806, 809, 810, 812, 813, 814, 816, 817, 818, 821, 822, 824, 826, 829, 832, 834, 848, 849, 850, 855], "toctre": [0, 811], "index": [0, 40, 41, 42, 45, 48, 52, 53, 59, 62, 63, 64, 69, 71, 75, 76, 82, 85, 86, 87, 127, 134, 204, 307, 314, 315, 324, 325, 326, 362, 368, 369, 371, 376, 378, 380, 390, 396, 427, 429, 434, 456, 463, 466, 474, 476, 478, 481, 482, 485, 501, 502, 511, 520, 523, 541, 543, 564, 565, 569, 614, 616, 618, 621, 626, 628, 631, 632, 633, 693, 697, 707, 708, 709, 712, 713, 714, 720, 722, 731, 732, 734, 736, 737, 738, 740, 742, 764, 779, 793, 795, 812, 813, 818, 822, 823, 824, 825, 827, 829, 836, 855], "rst": [0, 822], "left": [0, 19, 29, 40, 41, 52, 57, 62, 64, 75, 80, 85, 87, 115, 116, 227, 242, 334, 349, 356, 365, 366, 368, 369, 371, 380, 402, 421, 426, 430, 437, 439, 464, 474, 515, 516, 517, 518, 519, 520, 533, 615, 619, 621, 624, 631, 633, 658, 659, 665, 674, 679, 731, 742, 763, 805, 806, 808, 811, 813, 814, 816, 819], "mai": [0, 50, 51, 52, 57, 63, 64, 73, 74, 80, 87, 97, 98, 121, 128, 139, 209, 235, 236, 242, 247, 255, 263, 264, 268, 269, 271, 286, 329, 330, 365, 396, 532, 568, 616, 618, 619, 621, 624, 632, 633, 634, 672, 681, 736, 737, 738, 739, 740, 743, 747, 748, 749, 751, 763, 793, 803, 804, 805, 806, 808, 812, 813, 814, 818, 819, 822, 823, 824, 826, 827, 829, 832, 835, 836, 838, 846, 862], "need": [0, 3, 6, 8, 15, 17, 23, 24, 26, 27, 40, 41, 42, 52, 53, 59, 75, 76, 82, 368, 369, 380, 390, 395, 396, 400, 421, 517, 528, 529, 550, 621, 623, 624, 626, 628, 649, 658, 686, 689, 716, 764, 799, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 816, 817, 818, 819, 820, 822, 823, 824, 825, 826, 827, 828, 830, 832, 834, 836, 837, 840, 841, 846, 848, 849, 851, 855, 856, 857, 861], "add": [0, 19, 29, 42, 44, 51, 52, 60, 67, 69, 74, 75, 83, 90, 97, 98, 356, 366, 368, 370, 371, 410, 446, 478, 560, 588, 619, 621, 623, 624, 629, 634, 649, 678, 724, 752, 760, 771, 779, 782, 799, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 819, 820, 821, 822, 823, 825, 826, 829, 830, 832, 834, 836, 840, 841, 851, 853, 855], "grid": [0, 42, 48, 134, 310, 362, 616, 816, 829], "item": [0, 4, 26, 27, 38, 40, 42, 47, 53, 67, 69, 71, 74, 75, 76, 129, 154, 191, 245, 261, 269, 335, 338, 351, 530, 540, 541, 545, 579, 580, 616, 617, 618, 621, 628, 635, 710, 711, 712, 713, 717, 722, 723, 757, 799, 804, 812, 814, 834, 836, 837, 839, 848], "card": [0, 52, 75, 353, 365, 860], "refer": [0, 5, 52, 59, 65, 66, 75, 77, 82, 88, 89, 127, 142, 240, 258, 307, 322, 351, 362, 365, 368, 369, 371, 396, 401, 412, 419, 441, 463, 602, 603, 616, 619, 622, 624, 626, 634, 635, 654, 656, 680, 693, 751, 753, 754, 755, 779, 799, 803, 804, 805, 806, 808, 809, 811, 813, 814, 821, 822, 823, 824, 825, 826, 827, 828, 829, 840, 841, 842, 855], "also": [0, 3, 4, 6, 8, 9, 11, 13, 17, 19, 21, 22, 24, 26, 27, 29, 31, 32, 33, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 93, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 163, 166, 167, 168, 170, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 368, 369, 371, 378, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 622, 623, 624, 626, 627, 628, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 715, 716, 717, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 778, 779, 788, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 841, 844, 845, 848, 849, 851, 852, 853, 854, 855, 856, 858, 860, 861, 862], "look": [0, 5, 17, 26, 27, 40, 42, 45, 799, 802, 804, 805, 806, 810, 811, 812, 814, 815, 816, 818, 819, 820, 821, 822, 826, 827, 829, 830, 831, 832, 834, 836, 838, 839, 841, 844, 848, 851, 855], "document": [0, 17, 26, 59, 242, 329, 330, 365, 601, 619, 621, 697, 800, 801, 803, 806, 811, 813, 814, 816, 825, 826, 827, 829, 837, 839], "sphinx": [0, 801, 811], "design": [0, 9, 17, 26, 75, 242, 306, 311, 312, 362, 619, 799, 807, 811, 813, 814, 825, 826, 827, 828, 832, 834, 836, 840, 844, 845, 851, 853, 855, 858, 859, 860], "websit": [0, 44, 805, 808, 845], "alreadi": [1, 8, 18, 21, 22, 23, 24, 26, 27, 32, 40, 42, 45, 52, 57, 69, 75, 80, 231, 241, 268, 278, 288, 371, 380, 452, 453, 473, 508, 517, 619, 624, 661, 669, 792, 793, 799, 804, 805, 806, 810, 812, 814, 815, 821, 825, 826, 832, 840, 841, 855, 857, 862], "instal": [1, 5, 6, 8, 9, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 40, 42, 43, 44, 45, 801, 805, 806, 810, 811, 819, 820], "skip": [1, 4, 42, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 369, 371, 391, 392, 393, 411, 427, 429, 434, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 474, 477, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 764, 792, 811, 822, 829], "colab": [1, 4, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 40, 42, 44, 45], "manual": [1, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 628, 705, 715, 716, 804, 805, 806, 814, 820, 829, 838, 841], "do": [1, 3, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 38, 40, 42, 52, 53, 69, 75, 76, 235, 268, 277, 368, 370, 371, 380, 413, 446, 458, 517, 520, 550, 619, 621, 628, 705, 712, 715, 716, 717, 722, 765, 793, 799, 802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 830, 832, 834, 836, 837, 838, 839, 840, 842, 846, 856, 861, 862], "run": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 40, 42, 43, 44, 52, 54, 75, 77, 374, 489, 491, 602, 603, 608, 622, 627, 702, 703, 704, 760, 761, 779, 780, 781, 782, 792, 799, 801, 804, 805, 807, 809, 810, 813, 815, 816, 818, 820, 821, 823, 826, 827, 834, 835, 836, 837, 838, 839, 840, 841, 848, 849, 850, 853, 855, 856, 857, 858, 860, 861, 862], "below": [1, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 31, 32, 33, 38, 41, 42, 43, 48, 52, 57, 75, 80, 88, 140, 141, 142, 242, 252, 275, 322, 323, 332, 362, 365, 371, 481, 616, 619, 624, 657, 678, 753, 800, 802, 804, 805, 807, 808, 812, 813, 814, 815, 816, 818, 819, 822, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 848, 849, 850, 851, 853, 858, 860], "mind": [1, 11, 13, 17, 23, 26, 30, 804, 805, 809, 812, 829, 841, 849], "packag": [1, 3, 5, 7, 8, 11, 21, 22, 23, 24, 27, 40, 41, 42, 45, 791, 799, 802, 805, 813, 826, 840, 841, 855, 857], "avail": [1, 3, 5, 7, 21, 22, 24, 26, 27, 42, 53, 76, 191, 197, 199, 200, 211, 534, 618, 621, 624, 675, 764, 799, 805, 806, 812, 813, 814, 815, 817, 818, 826, 829, 832, 840, 841, 844, 848, 849, 850, 860, 861], "click": [1, 3, 42, 804, 805, 806, 813, 817, 819, 820, 835], "runtim": [1, 3, 4, 5, 6, 7, 8, 19, 26, 29, 40, 41, 807, 822, 829, 832, 855], "restart": [1, 3, 4, 5, 7, 40, 41, 805, 819], "pip": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 44, 45, 802, 805, 811, 820], "q": [1, 3, 4, 5, 6, 7, 8, 9, 40, 41, 42, 52, 56, 57, 75, 79, 80, 355, 365, 369, 380, 421, 520, 623, 624, 628, 649, 652, 658, 659, 671, 713, 805, 806, 807, 827, 840], "git": [1, 3, 4, 5, 7, 26, 40, 41, 42, 43, 799, 801, 803, 805, 806, 808, 811, 813, 819, 820, 829, 841], "clone": [1, 3, 5, 7, 26, 40, 42, 43, 799, 801, 806, 819, 841], "http": [1, 3, 4, 5, 6, 7, 8, 13, 21, 22, 23, 24, 26, 27, 40, 41, 42, 43, 44, 45, 51, 52, 74, 75, 77, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 602, 603, 616, 617, 619, 622, 624, 626, 634, 672, 673, 701, 751, 799, 801, 805, 806, 808, 811, 813, 814, 817, 819, 841, 849], "github": [1, 3, 4, 5, 7, 26, 40, 41, 42, 43, 44, 799, 801, 803, 806, 808, 811, 813, 814, 816, 817, 819, 820, 828, 829, 841, 844], "com": [1, 3, 4, 5, 7, 13, 26, 40, 41, 42, 43, 44, 799, 801, 805, 806, 808, 811, 813, 814, 819, 841], "unifyai": [1, 3, 5, 7, 26, 40, 41, 42, 43, 44, 799, 801, 805, 806, 811, 819, 841], "model": [1, 2, 3, 9, 10, 15, 16, 17, 43, 45, 235, 268, 370, 442, 619, 776, 780, 781, 799, 837, 838, 842, 848, 849, 853, 854, 855, 856, 857, 858, 859, 861, 862], "depth": [1, 3, 5, 7, 41, 48, 52, 56, 71, 75, 79, 136, 368, 371, 403, 460, 533, 545, 616, 621, 623, 641, 642, 806, 813, 837, 838, 839, 841], "1": [1, 3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 142, 144, 147, 148, 149, 150, 154, 158, 159, 160, 163, 168, 170, 175, 191, 192, 196, 200, 201, 203, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 319, 320, 322, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 435, 436, 438, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 562, 564, 565, 569, 578, 579, 580, 581, 582, 584, 586, 587, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 768, 771, 775, 778, 779, 780, 781, 782, 783, 784, 788, 792, 793, 799, 802, 805, 806, 808, 810, 811, 812, 813, 814, 815, 816, 818, 819, 820, 821, 822, 824, 825, 826, 827, 829, 832, 833, 834, 836, 837, 838, 839, 840, 845, 846, 848, 849, 850], "from": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 38, 39, 40, 42, 43, 44, 45, 47, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 62, 65, 66, 67, 69, 70, 71, 72, 74, 75, 76, 77, 79, 80, 82, 84, 85, 88, 89, 90, 92, 93, 95, 98, 121, 123, 126, 128, 129, 130, 131, 134, 135, 138, 142, 144, 150, 168, 174, 175, 191, 196, 201, 207, 208, 234, 242, 243, 270, 274, 275, 282, 286, 306, 307, 313, 316, 322, 324, 325, 326, 333, 336, 339, 340, 342, 343, 355, 359, 362, 365, 367, 368, 369, 370, 371, 375, 380, 391, 392, 393, 407, 412, 413, 430, 437, 442, 446, 456, 459, 468, 473, 479, 481, 482, 484, 486, 487, 496, 497, 498, 499, 500, 511, 512, 532, 540, 541, 543, 563, 574, 584, 601, 603, 604, 608, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 631, 632, 634, 635, 637, 645, 646, 654, 657, 674, 678, 679, 680, 687, 690, 693, 696, 702, 703, 704, 706, 717, 718, 719, 725, 726, 727, 728, 732, 735, 736, 738, 744, 745, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 778, 779, 780, 781, 783, 788, 793, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 842, 844, 845, 846, 847, 848, 849, 850, 851, 853, 854, 855, 856, 857, 859, 860, 861, 862], "repositori": [1, 3, 5, 7, 801, 804, 805, 806, 807, 808, 811, 819, 828, 846], "cd": [1, 3, 5, 7, 26, 43, 799, 801, 805, 806, 819, 841], "here": [1, 3, 9, 12, 14, 17, 22, 25, 26, 27, 38, 40, 41, 42, 43, 45, 75, 278, 448, 619, 799, 802, 803, 804, 805, 806, 808, 810, 811, 812, 813, 814, 816, 819, 820, 821, 823, 824, 825, 826, 827, 829, 830, 834, 835, 836, 837, 838, 839, 840, 848, 849, 850, 855, 856], "normal": [1, 3, 7, 11, 12, 13, 14, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 40, 41, 52, 60, 61, 75, 83, 84, 92, 93, 352, 365, 368, 374, 380, 389, 390, 395, 396, 399, 400, 401, 411, 412, 489, 490, 491, 492, 493, 494, 495, 510, 513, 626, 629, 630, 687, 697, 724, 725, 727, 778, 779, 782, 799, 804, 825, 826, 832, 837, 848, 850, 853], "resnet": [2, 8, 15, 26, 848, 849], "imag": [2, 3, 6, 8, 11, 15, 23, 26, 27, 40, 41, 42, 43, 44, 45, 51, 52, 56, 74, 75, 79, 97, 215, 216, 217, 218, 221, 224, 233, 236, 238, 240, 249, 250, 251, 256, 258, 271, 278, 279, 281, 282, 286, 368, 386, 387, 403, 404, 405, 407, 533, 619, 621, 623, 636, 637, 638, 639, 640, 643, 644, 645, 779, 799, 805, 819, 832, 834, 835, 837, 839, 841, 848, 849, 855], "classif": [2, 3, 7, 9, 15, 40, 799, 855], "acceler": [2, 15, 799, 814, 826, 853, 857, 858, 859, 860], "pytorch": [2, 3, 4, 5, 6, 7, 10, 12, 13, 15, 16, 24, 26, 27, 38, 45, 278, 329, 330, 365, 619, 783, 799, 803, 804, 809, 814, 815, 818, 821, 822, 825, 826, 827, 832, 834, 839, 840, 842, 845, 846, 848, 849, 856, 858, 859, 861, 862], "jax": [2, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 38, 40, 44, 46, 51, 52, 53, 63, 68, 74, 75, 76, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 342, 360, 365, 380, 520, 550, 582, 601, 613, 619, 621, 632, 736, 737, 738, 739, 771, 775, 788, 799, 802, 803, 804, 805, 806, 808, 810, 814, 815, 818, 819, 821, 824, 825, 826, 827, 829, 830, 832, 834, 836, 839, 840, 845, 846, 848, 849, 850, 856, 858, 861, 862], "convert": [2, 5, 6, 8, 9, 11, 13, 15, 16, 18, 20, 23, 24, 26, 27, 28, 30, 32, 40, 43, 45, 47, 48, 51, 69, 70, 71, 74, 92, 122, 123, 135, 145, 146, 188, 189, 190, 191, 202, 210, 214, 234, 274, 371, 376, 451, 452, 453, 501, 566, 583, 585, 586, 587, 589, 616, 617, 618, 619, 621, 624, 628, 682, 706, 717, 718, 760, 788, 792, 799, 804, 809, 810, 823, 824, 826, 829, 831, 834, 840, 842, 846, 849, 853, 854, 861], "them": [2, 3, 6, 8, 11, 13, 15, 26, 27, 32, 369, 436, 527, 563, 621, 763, 779, 799, 801, 804, 806, 808, 809, 810, 811, 812, 813, 814, 818, 820, 823, 825, 826, 827, 829, 831, 834, 836, 837, 838, 840, 842, 843, 844, 845, 846, 847, 848, 849, 850, 852, 853, 855, 857, 861], "faster": [2, 3, 6, 8, 9, 15, 26, 27, 43, 45, 52, 57, 75, 80, 369, 439, 624, 674, 801, 803, 811, 842, 857, 860], "infer": [2, 6, 8, 9, 15, 19, 29, 31, 32, 41, 43, 45, 48, 52, 53, 56, 59, 71, 75, 76, 79, 82, 121, 123, 126, 130, 131, 135, 138, 144, 153, 154, 155, 156, 157, 306, 307, 368, 375, 403, 498, 544, 578, 616, 617, 621, 623, 626, 646, 693, 788, 789, 807, 810, 814, 815, 829, 834, 839, 849, 853, 854, 857, 859], "mmpretrain": [2, 15], "segment": [2, 15, 52, 75, 324, 325, 326, 362, 811, 816], "unet": [2, 15], "alexnet": [2, 15], "In": [2, 3, 4, 11, 13, 15, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 45, 50, 52, 53, 59, 73, 75, 76, 82, 92, 93, 202, 209, 210, 214, 218, 235, 236, 242, 250, 251, 268, 271, 277, 279, 368, 371, 374, 391, 392, 393, 413, 451, 452, 453, 459, 461, 463, 464, 465, 466, 468, 472, 478, 479, 487, 489, 491, 523, 543, 550, 568, 618, 619, 621, 624, 626, 630, 672, 689, 690, 691, 693, 695, 696, 698, 700, 728, 799, 804, 805, 806, 808, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 836, 837, 838, 839, 840, 844, 846, 848, 849, 850, 851, 853, 855, 856, 858, 861], "we": [2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 43, 44, 45, 52, 57, 58, 59, 67, 75, 80, 81, 90, 92, 93, 113, 357, 367, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 483, 487, 533, 543, 582, 604, 605, 607, 612, 613, 621, 622, 624, 625, 626, 667, 683, 689, 690, 691, 693, 695, 696, 698, 700, 775, 781, 788, 793, 799, 800, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 850, 851, 855, 856, 860, 861], "show": [2, 3, 4, 7, 15, 21, 26, 27, 28, 29, 31, 38, 40, 42, 43, 567, 576, 598, 621, 799, 804, 805, 806, 811, 813, 816, 820, 825, 826, 829, 831, 840, 848, 855], "how": [2, 3, 4, 5, 6, 8, 11, 13, 15, 16, 17, 18, 19, 21, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 38, 41, 44, 45, 46, 51, 52, 68, 74, 75, 95, 105, 106, 107, 108, 109, 110, 111, 112, 113, 235, 268, 286, 290, 294, 295, 297, 360, 371, 456, 481, 482, 613, 619, 775, 778, 779, 780, 781, 799, 800, 801, 802, 803, 805, 806, 807, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 823, 824, 825, 826, 827, 830, 831, 832, 833, 835, 836, 837, 838, 839, 840, 844, 846, 851, 855], "written": [2, 3, 4, 15, 17, 26, 27, 40, 53, 371, 462, 805, 808, 809, 817, 820, 821, 825, 826, 830, 834, 836, 839, 840, 844, 849, 853, 855, 859, 861, 862], "xgboost": [2, 15], "video": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 799, 800, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 841, 853], "tutori": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 799, 806, 826, 841], "nativ": [3, 4, 8, 17, 21, 22, 23, 24, 26, 27, 47, 48, 49, 50, 53, 70, 73, 76, 97, 101, 135, 145, 146, 152, 153, 154, 155, 156, 157, 171, 174, 189, 190, 191, 192, 202, 210, 214, 550, 552, 556, 563, 568, 585, 616, 617, 618, 621, 760, 771, 776, 788, 799, 802, 804, 814, 815, 818, 819, 822, 823, 825, 826, 827, 829, 834, 836, 837, 842, 848, 849, 850, 853, 862], "integr": [3, 4, 11, 13, 20, 27, 30, 49, 51, 52, 72, 74, 75, 147, 287, 348, 365, 380, 513, 617, 619, 799, 803, 805, 807, 823, 849, 853, 855, 857, 858, 859], "three": [3, 4, 15, 21, 31, 32, 42, 52, 134, 306, 362, 371, 453, 616, 805, 806, 812, 813, 814, 816, 826, 829, 832, 833, 834, 856, 861], "major": [3, 4, 631, 734, 814, 815, 827, 829, 840, 845, 852, 855], "ml": [3, 4, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 45, 799, 800, 803, 826, 833, 834, 835, 837, 838, 839, 843, 845, 846, 849, 851, 852, 853, 854, 855, 858, 860, 862], "framework": [3, 4, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 33, 40, 42, 44, 47, 53, 165, 187, 197, 200, 211, 531, 547, 551, 582, 585, 617, 618, 621, 628, 707, 758, 760, 764, 771, 776, 783, 788, 789, 799, 802, 804, 805, 807, 808, 809, 810, 811, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 829, 830, 832, 833, 834, 836, 839, 840, 841, 842, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 856, 859], "sinc": [3, 5, 7, 23, 24, 26, 27, 40, 42, 52, 75, 93, 365, 799, 801, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 818, 825, 826, 840, 845, 855, 861], "want": [3, 5, 7, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 39, 40, 42, 52, 67, 75, 90, 235, 268, 371, 461, 619, 781, 799, 800, 801, 804, 805, 806, 811, 813, 815, 818, 820, 822, 823, 824, 825, 829, 832, 837, 838, 839, 840, 841, 845, 849], "after": [3, 4, 5, 6, 7, 8, 26, 27, 41, 52, 53, 54, 56, 60, 69, 75, 76, 77, 79, 83, 181, 282, 298, 302, 350, 360, 365, 368, 369, 371, 390, 391, 392, 393, 410, 414, 433, 462, 473, 550, 603, 606, 608, 609, 610, 617, 619, 621, 622, 623, 628, 629, 636, 637, 638, 639, 641, 643, 645, 646, 716, 724, 783, 788, 799, 804, 805, 806, 808, 810, 811, 813, 814, 816, 818, 821, 824, 827, 829, 833, 841, 848, 849, 855], "first": [3, 4, 5, 7, 11, 17, 19, 20, 21, 23, 26, 27, 29, 30, 31, 40, 43, 44, 45, 48, 51, 52, 57, 59, 61, 62, 63, 65, 71, 74, 75, 76, 80, 82, 84, 86, 88, 92, 93, 97, 98, 117, 118, 132, 133, 142, 173, 181, 191, 218, 223, 225, 227, 228, 229, 230, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 268, 271, 273, 284, 285, 296, 306, 307, 322, 324, 325, 326, 328, 340, 342, 343, 344, 350, 354, 355, 360, 362, 365, 368, 369, 370, 371, 378, 380, 390, 420, 421, 422, 424, 428, 447, 457, 459, 463, 470, 473, 475, 476, 479, 486, 497, 499, 503, 511, 512, 513, 520, 525, 615, 616, 617, 618, 619, 621, 623, 624, 626, 627, 628, 631, 632, 633, 634, 649, 654, 657, 658, 659, 661, 664, 669, 671, 672, 674, 676, 678, 680, 693, 694, 697, 698, 702, 703, 704, 705, 706, 715, 716, 718, 730, 731, 732, 736, 737, 738, 741, 742, 744, 745, 760, 778, 779, 780, 781, 783, 788, 799, 801, 803, 804, 805, 806, 808, 809, 810, 811, 812, 815, 816, 820, 821, 822, 823, 825, 826, 829, 832, 834, 836, 837, 839, 841, 844, 845, 848, 849, 853, 855, 856, 860], "notebook": [3, 4, 5, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 30, 32, 41, 781, 799], "automat": [3, 5, 7, 24, 26, 27, 32, 799, 804, 805, 806, 807, 810, 811, 813, 814, 820, 822, 825, 829, 832, 833, 835, 838, 839, 841, 842, 846, 855, 858, 862], "sure": [3, 5, 6, 7, 8, 9, 26, 40, 804, 805, 806, 808, 813, 818, 819, 826, 827, 829, 832, 841], "gpu": [3, 4, 5, 6, 7, 8, 9, 40, 42, 44, 45, 191, 193, 194, 197, 200, 202, 204, 206, 207, 210, 212, 214, 618, 799, 805, 806, 813, 815, 836, 841, 853, 855, 858, 859, 860], "enabl": [3, 4, 5, 6, 7, 8, 9, 21, 22, 24, 41, 52, 57, 69, 80, 98, 368, 370, 390, 445, 568, 621, 624, 667, 781, 799, 805, 806, 809, 812, 814, 822, 823, 824, 825, 826, 829, 830, 833, 835, 837, 839, 840, 842, 845, 848, 853, 854, 855, 856, 857, 858, 861, 862], "dm": [3, 4, 5, 6, 8, 26, 27, 38, 40], "haiku": [3, 4, 5, 6, 8, 24, 26, 27, 38, 40, 44, 776, 799, 839, 846, 849, 855], "exit": [3, 5, 7, 26, 27, 815], "download": [3, 7, 11, 13, 26, 27, 41, 42, 45, 801, 805, 811, 829, 848, 849], "imagenet": [3, 13, 41, 43, 799], "class": [3, 5, 7, 9, 11, 13, 17, 26, 27, 38, 39, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 129, 138, 144, 160, 163, 176, 178, 179, 238, 275, 332, 353, 365, 379, 380, 387, 388, 421, 516, 517, 524, 533, 537, 550, 560, 582, 616, 617, 618, 619, 621, 623, 624, 625, 628, 629, 644, 648, 652, 658, 669, 673, 674, 676, 683, 699, 706, 717, 724, 739, 746, 750, 751, 760, 761, 768, 769, 770, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 787, 788, 792, 797, 799, 804, 810, 811, 812, 814, 815, 816, 817, 821, 823, 824, 827, 828, 829, 832, 834, 835, 837, 838, 839, 842, 848, 849, 853, 855, 856, 862], "preprocess": [3, 7, 9, 26, 27, 40, 43, 848], "wget": [3, 5, 7, 40, 41, 44, 805], "raw": [3, 5, 6, 7, 8, 23, 26, 27, 40, 43, 44, 69, 799, 817, 849, 856], "githubusercont": [3, 5, 7, 40, 44], "hub": [3, 5, 7, 40, 43, 45], "master": [3, 5, 7, 18, 19, 20, 28, 29, 30, 31, 32, 33, 40, 42, 43, 44, 813, 855], "imagenet_class": [3, 7], "txt": [3, 7, 41, 53, 805, 808, 811], "r": [3, 7, 40, 41, 52, 57, 69, 75, 80, 92, 93, 342, 357, 365, 367, 604, 622, 624, 626, 671, 700, 805, 806, 807, 824, 827], "f": [3, 4, 6, 7, 26, 27, 39, 40, 42, 52, 59, 75, 82, 296, 313, 360, 362, 371, 463, 484, 626, 628, 693, 708, 712, 713, 714, 717, 722, 723, 799, 800, 806, 807, 812, 813, 818, 830, 834, 836, 837, 846, 851], "categori": [3, 7, 804, 808, 809, 812, 814, 818, 826, 830, 833], "strip": [3, 7, 19, 29, 845], "readlin": [3, 7, 41], "cat": [3, 7, 41, 827, 832, 834, 839, 848, 849], "jpg": [3, 5, 6, 7, 8, 23, 26, 27, 42, 43, 799, 849], "filenam": [3, 5, 7, 26, 27, 40, 42, 45, 53, 781, 787, 837], "3": [3, 5, 6, 7, 8, 9, 11, 13, 17, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 127, 129, 131, 132, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 154, 158, 160, 168, 170, 175, 189, 191, 192, 203, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 433, 436, 438, 441, 442, 443, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 492, 493, 494, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 564, 565, 578, 579, 580, 584, 587, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 766, 779, 792, 793, 799, 802, 804, 805, 808, 809, 810, 812, 813, 814, 816, 818, 819, 822, 824, 827, 829, 834, 836, 837, 838, 839, 848, 849, 862], "import": [3, 6, 8, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 41, 43, 44, 45, 52, 63, 67, 71, 75, 90, 189, 190, 194, 204, 206, 292, 301, 380, 510, 545, 561, 618, 621, 627, 632, 703, 704, 739, 771, 788, 789, 799, 803, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 817, 820, 823, 824, 825, 826, 827, 828, 829, 830, 834, 836, 837, 839, 840, 841, 845, 848, 849, 850, 851, 853, 855, 858, 859, 861], "torchvis": [3, 6, 7, 40, 846], "transform": [3, 4, 6, 7, 8, 23, 26, 27, 40, 41, 43, 52, 56, 75, 79, 368, 369, 389, 390, 395, 396, 399, 400, 401, 411, 412, 415, 430, 623, 647, 763, 766, 779, 799, 823, 829, 839, 842, 848, 849, 853, 855, 856, 857], "pil": [3, 5, 6, 7, 8, 23, 26, 27, 41, 42, 43, 799, 849], "numpi": [3, 4, 5, 6, 8, 11, 13, 18, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 39, 40, 42, 43, 44, 45, 51, 52, 53, 65, 74, 75, 76, 142, 171, 189, 219, 279, 292, 301, 322, 362, 380, 510, 517, 526, 550, 579, 582, 586, 616, 617, 618, 619, 621, 634, 746, 758, 760, 771, 788, 792, 793, 799, 803, 804, 805, 806, 808, 809, 810, 813, 814, 815, 818, 819, 821, 825, 827, 829, 830, 832, 834, 836, 839, 841, 842, 844, 845, 848, 849, 850, 857, 862], "np": [3, 4, 5, 6, 8, 11, 13, 18, 21, 22, 23, 24, 26, 27, 28, 31, 32, 33, 38, 39, 40, 41, 42, 43, 45, 48, 51, 52, 74, 75, 76, 122, 123, 124, 135, 171, 248, 252, 292, 301, 368, 369, 395, 400, 416, 579, 616, 617, 619, 621, 628, 711, 760, 788, 792, 793, 799, 804, 809, 814, 815, 818, 821, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 842, 850], "warn": [3, 4, 5, 7, 8, 9, 21, 22, 23, 24, 40, 41, 42, 45, 796, 805, 806, 831, 848, 849, 850], "time": [3, 4, 6, 8, 24, 26, 27, 32, 40, 42, 43, 44, 52, 54, 57, 63, 75, 77, 86, 92, 93, 129, 335, 365, 368, 369, 371, 380, 396, 401, 413, 415, 434, 441, 473, 479, 510, 603, 608, 616, 622, 623, 624, 626, 627, 631, 632, 646, 648, 664, 699, 702, 703, 704, 731, 732, 736, 737, 779, 780, 781, 804, 805, 806, 808, 810, 812, 813, 814, 816, 819, 821, 822, 823, 825, 826, 829, 830, 834, 837, 839, 840, 841, 844, 845, 846, 848, 849, 853, 855, 856, 859, 860, 861], "filterwarn": [3, 4], "ignor": [3, 4, 39, 47, 48, 52, 69, 75, 134, 368, 369, 371, 380, 391, 392, 393, 422, 436, 475, 476, 480, 518, 616, 623, 624, 628, 649, 663, 716, 717, 783, 805, 811, 813, 816, 829, 840, 861], "compos": [3, 6, 7, 26, 27, 40, 52, 75, 368, 382, 383, 384, 805, 812, 826, 829, 848, 850, 855, 862], "resiz": [3, 5, 6, 7, 40, 41, 52, 75, 368, 403, 832], "256": [3, 5, 7, 51, 76, 278, 279, 580, 623, 638, 640, 763], "centercrop": [3, 7], "224": [3, 7, 11, 13, 26, 27, 40, 41, 43, 799, 849], "totensor": [3, 6, 7, 40], "mean": [3, 6, 7, 8, 9, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 40, 41, 42, 52, 53, 56, 58, 59, 61, 65, 67, 69, 71, 75, 76, 79, 81, 82, 84, 88, 90, 92, 129, 208, 324, 334, 362, 365, 368, 369, 370, 371, 374, 375, 380, 396, 401, 419, 430, 442, 443, 444, 445, 446, 447, 448, 458, 463, 473, 489, 491, 497, 516, 517, 534, 604, 605, 607, 612, 616, 618, 621, 622, 623, 624, 625, 626, 627, 628, 630, 634, 638, 640, 641, 642, 644, 645, 646, 656, 683, 684, 685, 693, 702, 703, 704, 711, 726, 727, 763, 765, 766, 778, 779, 782, 799, 805, 806, 807, 808, 810, 812, 814, 815, 816, 822, 824, 825, 826, 829, 830, 832, 834, 836, 837, 838, 839, 840, 842, 849, 850, 852, 855], "0": [3, 4, 5, 6, 7, 8, 9, 11, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 124, 127, 129, 130, 131, 132, 133, 136, 138, 140, 141, 142, 143, 144, 147, 148, 149, 150, 158, 160, 163, 164, 168, 170, 175, 188, 191, 193, 196, 201, 202, 203, 204, 206, 207, 208, 210, 212, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 227, 229, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 319, 320, 322, 323, 324, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 386, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 410, 411, 412, 414, 417, 418, 419, 421, 422, 423, 426, 427, 429, 430, 431, 434, 435, 436, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 456, 458, 459, 460, 463, 464, 465, 466, 467, 468, 469, 470, 472, 473, 474, 475, 476, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 527, 528, 529, 532, 533, 534, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 560, 562, 564, 565, 569, 574, 578, 579, 580, 582, 584, 586, 587, 596, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 664, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 768, 775, 776, 778, 779, 780, 781, 782, 783, 784, 785, 788, 792, 793, 799, 802, 805, 806, 808, 810, 812, 813, 814, 815, 816, 817, 818, 819, 824, 825, 826, 827, 829, 830, 834, 836, 837, 838, 839, 840, 848, 849], "485": [3, 7, 40], "456": [3, 7, 40, 829], "406": [3, 7, 40, 52, 75, 389, 528, 621], "std": [3, 6, 7, 8, 9, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 41, 56, 61, 65, 79, 84, 88, 375, 497, 623, 630, 634, 638, 640, 641, 642, 644, 645, 726, 727, 799, 816, 850], "229": [3, 7, 40, 274, 619], "225": [3, 7, 40, 42, 229, 619], "torch_img": [3, 5, 7], "unsqueez": [3, 5, 6, 7], "img": [3, 5, 7, 23, 26, 27, 40, 41, 42, 44, 799, 837, 849], "4": [3, 4, 5, 6, 7, 8, 9, 11, 17, 19, 20, 21, 22, 23, 24, 26, 38, 39, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 61, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 112, 113, 121, 122, 123, 124, 127, 129, 131, 132, 133, 134, 135, 136, 138, 142, 144, 148, 149, 150, 158, 160, 163, 168, 170, 175, 192, 193, 201, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 261, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 314, 315, 322, 324, 329, 330, 332, 334, 335, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 349, 352, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 430, 436, 442, 443, 444, 445, 446, 447, 449, 451, 452, 453, 456, 457, 458, 459, 460, 463, 464, 465, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 486, 487, 488, 492, 493, 494, 495, 498, 500, 501, 503, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 546, 548, 549, 550, 557, 564, 565, 579, 580, 581, 582, 584, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 643, 644, 645, 646, 647, 648, 652, 653, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 704, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 766, 778, 779, 783, 792, 793, 799, 802, 804, 805, 810, 811, 812, 813, 814, 816, 819, 824, 827, 829, 832, 834, 836, 837, 838, 839, 846, 848, 855, 861, 862], "ipython": [3, 5, 7, 21, 22, 23, 24, 26, 27, 45], "displai": [3, 5, 7, 23, 26, 27, 40, 41, 42, 44, 45, 805, 811, 813, 818, 829, 837], "end": [3, 5, 40, 41, 52, 75, 121, 223, 279, 346, 365, 368, 371, 415, 463, 473, 475, 476, 616, 619, 793, 799, 805, 806, 810, 813, 819, 825, 830, 832, 833, 840, 853, 858], "see": [3, 4, 6, 8, 9, 18, 19, 24, 26, 27, 28, 29, 33, 38, 39, 45, 46, 49, 51, 52, 57, 62, 63, 65, 66, 68, 74, 75, 80, 85, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 128, 132, 139, 142, 149, 168, 175, 218, 223, 225, 227, 228, 229, 230, 235, 236, 240, 242, 246, 247, 254, 255, 258, 260, 262, 264, 265, 268, 271, 273, 277, 284, 286, 289, 290, 294, 295, 297, 322, 329, 330, 360, 362, 365, 369, 370, 371, 418, 443, 481, 613, 616, 617, 619, 624, 631, 632, 634, 635, 654, 667, 670, 673, 680, 681, 732, 736, 737, 738, 739, 747, 748, 749, 750, 751, 752, 753, 754, 755, 775, 799, 800, 802, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 819, 820, 821, 822, 826, 827, 829, 832, 834, 836, 837, 840, 844, 851], "5": [3, 4, 5, 6, 7, 8, 9, 11, 19, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 60, 61, 62, 63, 64, 65, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 82, 83, 84, 85, 86, 87, 88, 92, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 121, 122, 123, 129, 131, 132, 133, 134, 135, 136, 137, 138, 143, 144, 148, 149, 150, 154, 158, 160, 168, 170, 175, 192, 201, 206, 209, 215, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 324, 327, 329, 330, 332, 334, 336, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 376, 378, 380, 386, 387, 388, 389, 391, 392, 394, 395, 396, 399, 400, 404, 405, 406, 409, 410, 411, 412, 414, 417, 420, 421, 423, 424, 426, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 457, 458, 459, 460, 463, 464, 467, 468, 469, 472, 473, 478, 479, 480, 481, 482, 483, 487, 488, 493, 494, 495, 498, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 517, 520, 526, 527, 528, 529, 532, 533, 534, 535, 537, 540, 541, 543, 546, 548, 549, 550, 564, 565, 569, 579, 580, 581, 582, 584, 588, 601, 602, 603, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 639, 641, 642, 643, 644, 645, 646, 647, 648, 650, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 668, 669, 670, 671, 672, 674, 675, 676, 678, 679, 680, 683, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 779, 792, 793, 799, 804, 805, 806, 808, 810, 812, 813, 814, 816, 818, 819, 821, 824, 827, 829, 836, 837, 838, 849], "set_default_devic": [3, 4, 5, 6, 7, 8, 212, 618, 815], "set_soft_device_mod": [3, 9, 213, 618, 815], "true": [3, 4, 5, 6, 7, 8, 9, 11, 13, 17, 20, 21, 23, 24, 26, 27, 31, 32, 33, 40, 41, 42, 43, 45, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 123, 124, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 151, 158, 160, 161, 162, 163, 166, 167, 168, 169, 170, 171, 172, 175, 187, 191, 192, 194, 195, 199, 202, 203, 204, 205, 209, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 413, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 460, 461, 463, 464, 465, 468, 469, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 502, 503, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 564, 565, 566, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 589, 594, 595, 597, 598, 600, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 779, 780, 781, 782, 783, 785, 788, 790, 792, 793, 797, 799, 802, 805, 810, 812, 813, 814, 815, 816, 818, 819, 821, 822, 823, 825, 826, 827, 829, 831, 832, 834, 837, 838, 839, 848, 849], "set_backend": [3, 4, 5, 7, 9, 17, 18, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 39, 41, 42, 43, 51, 53, 67, 74, 76, 162, 171, 189, 190, 204, 206, 211, 219, 526, 550, 617, 618, 621, 627, 703, 704, 788, 799, 808, 810, 814, 815, 822, 823, 824, 834, 836, 839, 848, 849, 850], "ivy_model": [3, 4, 5, 7, 43], "ivy_alexnet": 3, "order": [3, 20, 30, 32, 40, 43, 45, 48, 52, 53, 56, 57, 59, 63, 64, 69, 75, 79, 80, 82, 86, 87, 92, 97, 98, 122, 123, 134, 142, 223, 242, 285, 322, 342, 362, 365, 368, 369, 371, 374, 378, 413, 418, 421, 422, 423, 424, 425, 429, 433, 435, 438, 441, 463, 464, 465, 470, 471, 483, 489, 490, 491, 494, 503, 616, 619, 623, 624, 626, 627, 631, 632, 633, 637, 638, 639, 640, 641, 642, 645, 658, 659, 665, 674, 675, 679, 681, 690, 693, 702, 703, 734, 736, 737, 738, 739, 740, 742, 743, 760, 782, 784, 793, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 826, 827, 828, 829, 830, 831, 832, 837, 839, 840, 844, 851, 854, 855, 856, 858, 861], "quick": [3, 15, 27, 806, 807, 827, 838], "call": [3, 6, 11, 13, 17, 19, 20, 21, 22, 23, 26, 27, 29, 30, 31, 32, 33, 40, 44, 52, 67, 72, 75, 90, 92, 98, 117, 167, 168, 208, 369, 380, 433, 517, 568, 574, 588, 604, 605, 607, 615, 618, 621, 622, 624, 628, 672, 705, 711, 715, 716, 760, 771, 779, 780, 781, 783, 788, 793, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 840, 845, 848, 849, 850, 855, 856, 859], "trace_graph": [3, 4, 5, 7, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 34, 43, 781, 799, 834, 839, 847], "take": [3, 7, 17, 24, 26, 27, 32, 38, 40, 43, 52, 57, 59, 65, 75, 82, 92, 117, 118, 120, 136, 275, 282, 296, 360, 368, 369, 371, 387, 395, 400, 405, 415, 424, 436, 456, 463, 482, 511, 512, 615, 616, 619, 623, 624, 626, 627, 649, 664, 668, 693, 704, 744, 763, 771, 778, 779, 792, 799, 800, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 822, 825, 826, 827, 829, 832, 834, 836, 838, 839, 840, 841, 846, 848, 849, 852, 853, 861], "moment": [3, 52, 54, 75, 77, 369, 425, 602, 603, 608, 622, 783, 804, 810, 840, 848, 849], "one": [3, 6, 8, 11, 13, 15, 16, 19, 20, 23, 24, 26, 27, 29, 30, 42, 43, 44, 48, 52, 53, 56, 57, 59, 62, 63, 65, 69, 71, 74, 75, 76, 77, 79, 80, 82, 83, 85, 86, 87, 88, 92, 121, 124, 134, 136, 137, 138, 148, 150, 208, 229, 235, 242, 243, 260, 266, 267, 268, 287, 296, 306, 309, 310, 328, 334, 337, 340, 341, 344, 345, 346, 348, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 389, 391, 395, 396, 399, 400, 403, 411, 416, 418, 427, 434, 447, 451, 452, 453, 457, 463, 464, 465, 470, 472, 477, 480, 489, 490, 491, 496, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 560, 564, 565, 567, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 629, 631, 632, 634, 637, 638, 639, 640, 641, 642, 645, 661, 664, 665, 669, 671, 680, 681, 689, 690, 691, 694, 696, 700, 724, 731, 734, 736, 737, 738, 739, 744, 746, 763, 765, 782, 785, 788, 793, 796, 799, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 831, 832, 833, 836, 837, 839, 840, 841, 842, 845, 846, 849, 855, 856, 858, 861], "cost": [3, 54, 77, 602, 603, 606, 608, 609, 610, 622, 627, 702, 703, 704, 793, 814, 832, 853], "arg": [3, 5, 6, 7, 11, 13, 21, 22, 24, 26, 27, 31, 32, 33, 44, 47, 69, 91, 101, 117, 198, 208, 588, 615, 616, 618, 621, 758, 760, 775, 776, 779, 780, 781, 785, 788, 792, 797, 799, 809, 814, 815, 818, 824, 825, 826, 832, 834, 838, 848, 849, 850], "asarrai": [3, 4, 5, 6, 7, 41, 48, 52, 53, 64, 71, 75, 76, 87, 122, 378, 502, 503, 533, 544, 548, 549, 579, 580, 616, 621, 623, 632, 633, 637, 737, 741, 818, 823, 826, 827], "cuda": [3, 4, 5, 6, 7, 8, 9, 17, 26, 41, 42, 45, 48, 52, 61, 71, 75, 84, 132, 133, 136, 188, 189, 190, 204, 206, 375, 496, 497, 499, 500, 616, 618, 624, 630, 675, 725, 726, 727, 728, 778, 779, 780, 781, 782, 783, 784, 799, 834, 840, 842, 860], "7": [3, 5, 6, 7, 8, 9, 11, 13, 18, 19, 21, 22, 23, 24, 38, 40, 41, 42, 44, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 107, 108, 109, 110, 121, 122, 123, 132, 135, 136, 154, 160, 163, 193, 215, 218, 221, 225, 226, 228, 229, 230, 231, 233, 235, 236, 237, 238, 239, 241, 242, 245, 246, 247, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 265, 266, 267, 268, 270, 271, 272, 274, 275, 278, 279, 280, 282, 285, 286, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 312, 313, 324, 328, 332, 334, 335, 342, 343, 344, 346, 348, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 376, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 409, 410, 411, 412, 414, 417, 420, 431, 442, 443, 444, 445, 447, 448, 451, 452, 453, 457, 459, 463, 468, 469, 472, 473, 478, 479, 481, 482, 484, 487, 488, 498, 500, 501, 508, 511, 512, 514, 515, 520, 526, 528, 529, 533, 534, 537, 548, 549, 550, 557, 564, 565, 579, 582, 602, 603, 605, 606, 607, 608, 609, 610, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 640, 642, 644, 645, 646, 647, 652, 654, 655, 656, 657, 659, 660, 661, 664, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 683, 684, 685, 686, 689, 690, 695, 697, 698, 700, 705, 706, 713, 717, 724, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 744, 745, 746, 748, 750, 752, 753, 763, 805, 806, 810, 812, 813, 816, 822, 825, 829], "output": [3, 4, 5, 7, 17, 23, 24, 26, 27, 39, 40, 41, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 174, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 365, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 424, 427, 428, 431, 432, 433, 434, 436, 437, 440, 442, 443, 444, 445, 446, 447, 448, 449, 456, 457, 458, 461, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 486, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 527, 528, 529, 533, 534, 535, 537, 541, 550, 557, 564, 565, 566, 589, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 763, 778, 779, 792, 793, 799, 801, 805, 806, 807, 808, 809, 811, 812, 814, 815, 816, 817, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 834, 836, 838, 839, 840, 842, 848, 849, 856], "softmax": [3, 7, 11, 24, 26, 27, 42, 46, 56, 67, 68, 79, 370, 443, 613, 623, 649, 652, 775, 799], "pass": [3, 5, 6, 7, 8, 9, 11, 13, 17, 24, 26, 27, 33, 39, 40, 42, 44, 45, 51, 52, 67, 69, 74, 75, 90, 98, 117, 118, 120, 152, 174, 189, 208, 223, 269, 368, 370, 371, 374, 375, 380, 413, 443, 463, 489, 491, 496, 516, 517, 550, 615, 617, 618, 619, 621, 627, 702, 703, 758, 760, 764, 771, 776, 780, 781, 783, 784, 788, 792, 797, 799, 802, 804, 806, 808, 809, 810, 812, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 832, 840, 848, 849, 850, 853], "argsort": [3, 7, 64, 87, 633, 742, 826], "descend": [3, 7, 64, 87, 624, 633, 674, 675, 740, 743], "top": [3, 7, 10, 15, 24, 26, 27, 40, 41, 52, 59, 75, 313, 362, 371, 483, 533, 621, 687, 799, 805, 806, 814, 819, 826, 828, 829, 832, 837, 838, 855, 859], "logit": [3, 4, 5, 7, 40, 41, 42, 43, 52, 58, 75, 81, 360, 375, 496, 499, 625, 683, 685, 775, 799, 848], "gather": [3, 7, 40, 52, 53, 75, 76, 324, 325, 326, 362, 541, 543, 621, 862], "print": [3, 4, 6, 7, 9, 11, 13, 17, 18, 20, 24, 26, 27, 28, 38, 39, 40, 41, 42, 43, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 143, 144, 147, 148, 149, 150, 152, 158, 159, 160, 161, 162, 165, 167, 168, 170, 175, 187, 188, 192, 194, 195, 196, 197, 199, 200, 201, 202, 203, 206, 207, 209, 210, 211, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 297, 299, 300, 301, 303, 304, 305, 307, 314, 315, 322, 324, 328, 329, 330, 332, 346, 347, 352, 356, 360, 362, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 389, 391, 392, 394, 396, 399, 401, 404, 405, 406, 409, 411, 412, 417, 420, 422, 424, 425, 433, 440, 442, 443, 444, 445, 446, 447, 448, 454, 456, 458, 469, 473, 478, 479, 481, 482, 483, 488, 492, 493, 495, 510, 511, 512, 513, 520, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 560, 561, 563, 564, 565, 569, 570, 571, 574, 577, 578, 579, 580, 582, 584, 586, 587, 588, 592, 593, 596, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 788, 792, 793, 797, 799, 805, 806, 812, 814, 816, 827, 829, 831, 834, 836, 837, 838, 848, 850], "indic": [3, 7, 48, 52, 53, 56, 57, 59, 60, 62, 63, 64, 69, 71, 72, 75, 76, 79, 80, 82, 83, 85, 86, 87, 92, 95, 122, 123, 136, 140, 142, 163, 167, 168, 279, 322, 323, 324, 342, 362, 365, 368, 369, 370, 371, 376, 378, 386, 387, 388, 390, 394, 395, 396, 400, 401, 404, 405, 406, 407, 411, 412, 422, 441, 443, 451, 452, 453, 456, 459, 461, 463, 464, 465, 468, 472, 478, 479, 481, 482, 483, 486, 487, 501, 502, 503, 525, 540, 541, 543, 564, 565, 569, 601, 604, 605, 616, 619, 621, 622, 623, 624, 626, 628, 629, 630, 631, 632, 633, 637, 639, 640, 641, 642, 645, 649, 667, 681, 689, 690, 691, 693, 694, 695, 696, 698, 700, 705, 708, 710, 712, 713, 714, 716, 720, 721, 722, 723, 724, 725, 731, 732, 733, 734, 736, 738, 740, 742, 743, 760, 761, 763, 765, 779, 785, 792, 793, 795, 805, 813, 821, 824, 826, 839, 848], "to_list": [3, 7, 53, 76, 621], "arrai": [3, 4, 7, 8, 9, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 39, 40, 41, 42, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 164, 166, 167, 168, 170, 172, 173, 174, 175, 181, 191, 192, 196, 201, 203, 205, 208, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 547, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 560, 562, 563, 564, 565, 566, 568, 569, 575, 576, 578, 579, 580, 581, 582, 584, 585, 586, 587, 588, 589, 597, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 711, 712, 713, 714, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 765, 771, 778, 779, 780, 781, 784, 788, 792, 793, 795, 799, 802, 804, 805, 806, 807, 810, 811, 812, 814, 815, 816, 817, 818, 819, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 833, 834, 835, 837, 838, 839, 840, 842, 849, 850, 853, 854, 855, 857, 861, 862], "282": [3, 7], "281": [3, 7, 40, 42], "285": [3, 7, 75], "dev": [3, 6, 7, 8, 9, 19, 40, 42, 45, 50, 69, 73, 196, 203, 618, 805, 815, 819, 822, 836, 838], "64773697": 3, "29496649": 3, "04526037": 3, "39": [3, 4, 6, 7, 8, 9, 11, 13, 17, 21, 22, 23, 24, 38, 40, 41, 42, 43, 45, 46, 51, 52, 57, 61, 68, 74, 75, 77, 80, 84, 107, 221, 256, 258, 260, 290, 291, 293, 360, 368, 380, 387, 389, 406, 409, 511, 602, 613, 619, 622, 624, 634, 661, 669, 727, 746], "tiger": [3, 7], "tabbi": [3, 7], "egyptian": [3, 7], "check": [3, 4, 6, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 43, 45, 47, 49, 53, 57, 69, 72, 76, 80, 113, 151, 152, 161, 162, 165, 167, 168, 169, 172, 187, 194, 195, 202, 214, 526, 536, 538, 539, 546, 552, 553, 554, 555, 556, 572, 582, 594, 600, 613, 617, 618, 621, 624, 628, 659, 660, 667, 705, 715, 716, 717, 758, 765, 792, 793, 799, 801, 803, 804, 805, 806, 808, 812, 813, 815, 816, 818, 823, 825, 826, 827, 828, 829, 830, 831, 833, 834, 836, 837, 838, 841, 848], "confirm": [3, 41, 804], "same": [3, 4, 5, 6, 7, 8, 13, 19, 21, 22, 23, 24, 26, 29, 31, 33, 38, 39, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 63, 64, 65, 69, 71, 72, 74, 75, 76, 77, 79, 80, 82, 84, 86, 88, 92, 93, 94, 95, 96, 97, 111, 121, 126, 131, 133, 134, 136, 138, 140, 141, 142, 144, 147, 148, 149, 160, 163, 208, 215, 216, 217, 218, 220, 222, 226, 228, 231, 235, 241, 242, 248, 268, 270, 272, 275, 277, 278, 279, 288, 295, 307, 321, 322, 323, 324, 325, 326, 329, 330, 332, 339, 355, 360, 362, 365, 368, 369, 370, 371, 374, 376, 378, 380, 386, 387, 388, 404, 405, 406, 407, 409, 410, 411, 412, 414, 421, 426, 427, 435, 436, 437, 438, 439, 441, 443, 446, 456, 458, 473, 481, 482, 489, 491, 501, 503, 508, 509, 510, 511, 512, 513, 514, 520, 557, 611, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 630, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 652, 653, 654, 655, 657, 658, 659, 660, 662, 664, 666, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 687, 690, 691, 693, 694, 696, 697, 702, 703, 718, 728, 736, 737, 738, 739, 740, 741, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 758, 763, 764, 765, 771, 779, 792, 799, 805, 806, 809, 810, 812, 813, 814, 815, 816, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 844, 846, 848, 850, 852, 854, 861, 862], "8": [3, 6, 7, 8, 9, 18, 19, 21, 22, 23, 24, 38, 40, 42, 45, 49, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 72, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 97, 98, 105, 120, 130, 131, 135, 138, 144, 153, 155, 156, 157, 160, 168, 193, 210, 218, 220, 221, 225, 226, 229, 230, 231, 233, 239, 242, 246, 247, 253, 254, 255, 259, 260, 263, 264, 266, 267, 268, 273, 274, 277, 278, 279, 282, 283, 286, 287, 288, 292, 297, 299, 300, 301, 303, 304, 306, 307, 324, 328, 339, 342, 344, 345, 346, 349, 356, 360, 362, 365, 368, 369, 370, 371, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 405, 409, 410, 414, 417, 420, 428, 442, 443, 444, 446, 447, 448, 449, 451, 452, 453, 457, 459, 463, 468, 469, 478, 479, 482, 483, 484, 487, 488, 498, 500, 512, 515, 516, 520, 526, 527, 529, 533, 534, 537, 540, 544, 548, 549, 550, 552, 553, 556, 559, 564, 565, 569, 579, 580, 581, 582, 602, 605, 607, 609, 610, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 637, 641, 642, 644, 645, 646, 647, 649, 655, 656, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 690, 697, 698, 700, 706, 713, 717, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 745, 746, 748, 750, 752, 753, 763, 766, 779, 805, 812, 813, 816, 829, 833, 837], "torch_alexnet": 3, "alexnet_weight": 3, "weight": [3, 9, 11, 13, 26, 27, 40, 41, 52, 54, 56, 58, 75, 77, 79, 81, 92, 93, 309, 313, 346, 362, 365, 368, 369, 380, 394, 427, 508, 510, 513, 602, 603, 606, 608, 609, 610, 622, 623, 625, 627, 647, 648, 649, 652, 683, 704, 765, 778, 779, 781, 783, 799, 812, 822, 829, 834, 838, 839, 854], "imagenet1k_v1": [3, 7], "dropout": [3, 56, 79, 368, 391, 392, 393, 623, 649, 652, 779, 837], "9": [3, 4, 5, 6, 7, 8, 9, 18, 19, 21, 22, 23, 24, 38, 40, 42, 45, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 63, 64, 65, 68, 72, 74, 75, 76, 77, 79, 80, 82, 84, 86, 87, 88, 97, 98, 105, 121, 122, 123, 135, 153, 154, 155, 156, 157, 160, 163, 216, 218, 220, 221, 224, 225, 226, 229, 230, 235, 236, 237, 242, 249, 255, 256, 257, 259, 263, 264, 266, 267, 268, 271, 273, 274, 278, 279, 282, 283, 284, 289, 294, 297, 298, 299, 336, 338, 342, 348, 349, 356, 360, 365, 366, 368, 370, 371, 378, 380, 386, 387, 388, 389, 394, 395, 399, 400, 404, 405, 409, 410, 414, 428, 442, 444, 446, 447, 451, 452, 453, 459, 463, 468, 478, 479, 480, 481, 483, 487, 498, 500, 503, 512, 529, 533, 534, 535, 537, 540, 548, 549, 552, 553, 556, 564, 565, 579, 581, 602, 603, 604, 608, 609, 613, 616, 617, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 633, 634, 637, 638, 639, 645, 646, 647, 654, 655, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 674, 675, 676, 678, 679, 680, 686, 690, 694, 695, 697, 698, 700, 705, 706, 711, 713, 716, 717, 725, 726, 727, 728, 730, 735, 736, 738, 740, 741, 743, 745, 746, 748, 750, 752, 753, 763, 783, 812, 814, 816, 824, 829, 837, 838, 851], "torch_output": [3, 5, 7], "dim": [3, 7, 42, 52, 69, 71, 75, 136, 307, 362, 368, 371, 385, 395, 396, 397, 400, 408, 463, 616, 623, 636, 643, 644, 648, 765, 779, 799, 814, 826, 827, 832], "torch_class": [3, 7], "torch_logit": [3, 7], "tensor": [3, 4, 6, 7, 8, 11, 13, 17, 18, 21, 22, 24, 26, 27, 28, 32, 38, 40, 48, 51, 52, 53, 56, 58, 59, 61, 69, 71, 74, 75, 76, 79, 80, 81, 82, 84, 91, 124, 132, 133, 136, 142, 158, 174, 266, 267, 296, 313, 317, 318, 319, 320, 321, 322, 331, 353, 360, 362, 365, 368, 369, 370, 371, 380, 381, 386, 387, 390, 394, 403, 404, 405, 406, 413, 415, 417, 424, 425, 426, 427, 430, 432, 434, 435, 438, 440, 441, 443, 446, 447, 463, 466, 471, 474, 475, 476, 477, 480, 485, 516, 521, 564, 565, 616, 617, 619, 621, 623, 624, 625, 626, 630, 646, 648, 649, 663, 676, 683, 693, 695, 725, 779, 788, 793, 799, 809, 810, 814, 815, 819, 821, 822, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 840, 842, 844, 848, 849, 850, 852, 853, 856, 858, 859, 862], "devic": [3, 5, 6, 7, 41, 42, 45, 48, 52, 61, 69, 71, 75, 84, 97, 100, 101, 102, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 140, 141, 142, 143, 144, 188, 189, 190, 191, 192, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 212, 214, 306, 307, 322, 323, 362, 375, 461, 496, 497, 499, 500, 524, 538, 539, 616, 621, 630, 725, 726, 727, 728, 758, 760, 761, 776, 778, 779, 780, 781, 782, 783, 784, 785, 799, 806, 807, 810, 814, 818, 822, 823, 827, 829, 830, 832, 834, 839, 840, 841, 842, 845, 854, 855, 857, 858, 859, 860], "6477": 3, "2950": 3, "0453": 3, "grad_fn": [3, 7, 24, 38, 605, 612, 622, 837], "lt": [3, 7, 11, 13, 17, 21, 22, 23, 24, 38, 40, 42, 98], "takebackward0": [3, 7], "gt": [3, 7, 11, 13, 17, 21, 22, 23, 24, 38, 40, 42, 45, 98, 827, 834], "great": [3, 5, 799, 806, 829, 834, 836, 845, 846, 861], "With": [3, 19, 29, 38, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 65, 71, 72, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 123, 124, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 143, 144, 147, 148, 149, 150, 152, 158, 159, 160, 163, 170, 175, 176, 177, 178, 179, 189, 192, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 277, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 329, 330, 332, 334, 337, 341, 344, 345, 346, 348, 349, 352, 360, 362, 365, 368, 369, 370, 371, 380, 389, 391, 392, 399, 411, 418, 419, 420, 422, 423, 424, 433, 436, 447, 463, 464, 465, 467, 470, 472, 473, 479, 481, 483, 486, 501, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 526, 527, 528, 529, 532, 533, 534, 535, 536, 540, 541, 544, 546, 548, 549, 550, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 602, 603, 604, 606, 607, 608, 609, 610, 611, 612, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 652, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 671, 672, 673, 674, 675, 676, 678, 679, 680, 683, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 805, 814, 816, 826, 829, 832, 834, 845, 846, 848, 855, 858], "simpl": [3, 11, 15, 16, 18, 21, 23, 24, 25, 26, 27, 28, 29, 31, 32, 38, 40, 42, 45, 52, 75, 380, 510, 765, 779, 793, 799, 804, 805, 806, 809, 811, 812, 814, 815, 816, 817, 822, 825, 826, 829, 830, 832, 836, 838, 839, 840, 842, 844, 848, 849, 854, 855, 856, 857], "chang": [3, 4, 9, 17, 27, 40, 41, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 95, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 619, 626, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 706, 717, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 799, 804, 805, 806, 808, 810, 811, 812, 813, 814, 816, 817, 819, 820, 826, 827, 828, 829, 830, 831, 832, 834, 838, 840, 841, 846, 848, 858, 861], "backend": [3, 8, 18, 19, 20, 21, 22, 23, 24, 27, 29, 30, 32, 47, 48, 52, 53, 57, 69, 75, 76, 80, 97, 124, 161, 162, 165, 187, 194, 195, 197, 200, 211, 329, 330, 365, 369, 420, 422, 517, 526, 538, 539, 547, 550, 551, 561, 568, 582, 585, 616, 617, 618, 621, 624, 674, 758, 760, 761, 763, 764, 765, 768, 770, 771, 776, 780, 781, 783, 787, 788, 799, 802, 803, 805, 806, 807, 808, 809, 813, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 829, 831, 832, 833, 835, 836, 839, 842, 844, 848, 849, 850, 855, 858, 861, 862], "let": [3, 4, 5, 6, 8, 9, 11, 13, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 40, 41, 43, 45, 53, 65, 76, 215, 216, 217, 218, 221, 224, 233, 236, 238, 240, 249, 250, 251, 256, 258, 271, 279, 281, 282, 286, 540, 541, 619, 621, 624, 634, 678, 748, 750, 751, 752, 753, 799, 804, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 846, 848, 849, 862], "u": [3, 6, 40, 42, 44, 45, 52, 57, 71, 75, 80, 92, 93, 133, 369, 430, 437, 439, 624, 628, 653, 659, 660, 674, 713, 799, 800, 805, 806, 807, 812, 813, 820, 823, 825, 826, 827, 828, 829, 830, 832, 838, 840, 845], "differ": [3, 4, 6, 8, 9, 11, 15, 16, 20, 21, 22, 26, 27, 30, 31, 32, 33, 51, 52, 53, 57, 65, 69, 75, 76, 88, 97, 98, 107, 110, 160, 218, 235, 242, 243, 268, 284, 328, 335, 339, 340, 344, 365, 368, 369, 371, 380, 401, 412, 435, 441, 457, 464, 465, 479, 511, 512, 520, 540, 541, 613, 617, 619, 621, 623, 624, 626, 634, 646, 647, 661, 672, 687, 697, 744, 745, 750, 752, 753, 758, 763, 771, 780, 781, 799, 802, 803, 804, 805, 806, 807, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 849, 850, 852, 853, 854, 855, 858, 861, 862], "ll": [3, 5, 6, 8, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 41, 799, 800, 802, 804, 805, 806, 811, 816, 819, 820, 824, 825, 837, 841, 846, 848, 849], "try": [3, 18, 28, 38, 41, 45, 69, 588, 621, 778, 788, 799, 804, 805, 806, 808, 809, 812, 813, 814, 818, 820, 825, 827, 834, 836, 840, 843, 845, 846, 850], "10": [3, 5, 7, 8, 9, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 38, 40, 42, 44, 45, 48, 51, 52, 53, 54, 56, 57, 61, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 121, 131, 132, 133, 217, 225, 226, 229, 230, 233, 240, 245, 247, 253, 255, 257, 268, 274, 281, 282, 287, 295, 328, 329, 330, 333, 337, 339, 341, 342, 344, 345, 346, 348, 349, 353, 356, 365, 368, 371, 380, 386, 387, 388, 389, 399, 404, 405, 409, 410, 411, 412, 414, 453, 456, 459, 463, 468, 478, 479, 487, 508, 511, 512, 515, 517, 520, 533, 534, 535, 537, 540, 541, 543, 548, 549, 557, 565, 569, 574, 579, 581, 593, 596, 608, 616, 619, 621, 622, 623, 624, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 640, 646, 655, 657, 661, 662, 664, 665, 666, 669, 674, 675, 676, 678, 680, 690, 695, 696, 697, 698, 700, 711, 713, 716, 717, 724, 725, 726, 727, 728, 734, 736, 742, 744, 745, 746, 747, 749, 750, 752, 753, 763, 765, 783, 799, 802, 805, 808, 812, 813, 814, 816, 819, 824, 827, 829, 834, 836, 837, 845, 850, 860], "tf": [3, 5, 8, 11, 13, 18, 21, 22, 24, 26, 27, 28, 29, 31, 33, 38, 43, 44, 776, 799, 809, 814, 815, 821, 825, 826, 829, 830, 832, 834, 839, 840, 842, 848, 849, 850, 855], "onc": [3, 5, 26, 27, 38, 40, 57, 61, 80, 84, 208, 369, 421, 618, 624, 630, 658, 659, 660, 674, 725, 799, 804, 805, 806, 812, 813, 814, 815, 816, 819, 820, 825, 826, 829, 832, 834, 837, 840, 841, 846, 848], "set": [3, 11, 13, 19, 26, 27, 29, 32, 40, 41, 42, 43, 44, 47, 52, 53, 56, 57, 62, 64, 65, 69, 75, 76, 79, 80, 85, 87, 88, 110, 113, 120, 140, 142, 176, 177, 178, 179, 180, 191, 204, 205, 206, 207, 208, 223, 322, 334, 349, 351, 356, 362, 365, 366, 368, 369, 370, 371, 380, 390, 411, 415, 419, 423, 426, 446, 447, 463, 473, 476, 483, 510, 515, 516, 517, 518, 519, 520, 522, 526, 533, 545, 550, 566, 567, 568, 570, 571, 572, 573, 574, 575, 576, 577, 582, 590, 613, 615, 616, 617, 618, 619, 621, 623, 624, 628, 630, 631, 633, 634, 646, 652, 654, 665, 667, 670, 673, 674, 705, 712, 715, 716, 717, 722, 723, 729, 731, 732, 736, 738, 739, 740, 743, 751, 753, 760, 763, 764, 765, 766, 771, 778, 779, 781, 783, 788, 793, 796, 799, 800, 806, 807, 808, 809, 811, 812, 813, 814, 815, 816, 818, 820, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 837, 844, 847, 848, 849, 853, 854, 855, 856, 857, 859, 862], "our": [3, 6, 8, 9, 11, 13, 15, 18, 19, 21, 22, 23, 26, 27, 28, 29, 31, 32, 33, 38, 40, 41, 44, 67, 90, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 765, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 801, 803, 804, 805, 806, 807, 808, 809, 811, 812, 813, 814, 816, 818, 819, 820, 823, 826, 827, 828, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 844, 845, 848, 860, 861], "post": [3, 5, 40, 60, 83, 629, 724, 805, 819, 824, 839, 841], "process": [3, 5, 21, 26, 27, 31, 40, 202, 214, 618, 800, 805, 806, 811, 812, 813, 819, 820, 822, 824, 826, 827, 828, 829, 832, 834, 839, 845, 846, 848, 853, 854, 855, 858, 859, 861, 862], "11": [3, 5, 7, 8, 17, 19, 21, 22, 23, 24, 38, 40, 41, 42, 45, 51, 52, 53, 56, 57, 61, 65, 74, 75, 76, 79, 80, 82, 84, 88, 98, 218, 222, 225, 230, 240, 277, 278, 284, 346, 365, 368, 369, 371, 386, 387, 399, 404, 405, 409, 410, 414, 423, 456, 457, 459, 463, 468, 470, 487, 511, 512, 527, 533, 534, 540, 549, 565, 619, 621, 623, 624, 625, 626, 628, 630, 631, 632, 634, 637, 638, 646, 647, 657, 660, 661, 662, 664, 665, 669, 673, 674, 675, 676, 678, 680, 683, 685, 690, 695, 696, 698, 700, 711, 713, 723, 726, 727, 728, 735, 736, 744, 745, 746, 753, 812, 813, 814, 816, 824], "st": [3, 4, 6, 763, 808, 827, 829], "perf_count": [3, 6], "raw_logit": 3, "latenc": [3, 6], "nn": [3, 5, 13, 24, 26, 27, 40, 44, 134, 616, 799, 822, 827, 832, 839, 849, 856], "axi": [3, 5, 9, 41, 42, 43, 46, 48, 51, 52, 53, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 71, 74, 75, 76, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 108, 112, 132, 133, 136, 208, 282, 287, 329, 330, 334, 335, 342, 349, 365, 368, 370, 371, 374, 378, 380, 389, 390, 396, 399, 401, 411, 412, 445, 450, 458, 459, 460, 463, 464, 465, 468, 473, 478, 479, 481, 482, 483, 486, 487, 492, 493, 495, 503, 508, 511, 512, 513, 515, 516, 517, 518, 519, 520, 533, 540, 601, 613, 616, 618, 619, 621, 623, 624, 625, 626, 627, 630, 631, 632, 633, 634, 635, 645, 654, 657, 665, 678, 680, 681, 683, 684, 685, 687, 688, 689, 690, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 730, 731, 732, 736, 738, 740, 741, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 775, 779, 780, 785, 812, 814, 816, 818, 821, 822, 825, 826, 829, 832, 834, 836, 839], "direct": [3, 52, 75, 335, 341, 345, 350, 354, 365, 368, 371, 401, 412, 464, 465, 479, 633, 743, 804, 809, 811, 826, 832, 838, 839, 851, 855, 856, 859], "tolist": 3, "652289830999962": 3, "shape": [3, 4, 5, 9, 11, 13, 19, 20, 21, 22, 26, 27, 32, 38, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 96, 97, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 203, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 310, 311, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 329, 330, 331, 332, 333, 335, 337, 339, 341, 343, 345, 346, 347, 348, 352, 353, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 412, 413, 416, 417, 418, 419, 421, 422, 423, 426, 427, 428, 429, 431, 432, 433, 434, 435, 436, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 453, 454, 456, 458, 461, 466, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 528, 529, 533, 534, 535, 537, 540, 541, 544, 550, 557, 564, 565, 575, 583, 585, 597, 601, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 740, 741, 743, 744, 745, 746, 748, 750, 751, 753, 754, 755, 760, 763, 765, 778, 779, 782, 792, 799, 806, 812, 814, 815, 816, 817, 818, 819, 821, 825, 826, 827, 829, 830, 831, 834, 836, 837, 838, 839, 848, 849], "dtype": [3, 5, 7, 9, 13, 19, 21, 22, 23, 24, 38, 41, 48, 49, 52, 53, 56, 57, 61, 62, 65, 69, 71, 72, 74, 75, 76, 79, 80, 84, 85, 88, 97, 100, 101, 102, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 143, 144, 145, 146, 147, 148, 150, 152, 153, 154, 155, 156, 157, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 203, 230, 269, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 327, 332, 334, 349, 362, 365, 368, 369, 370, 371, 375, 380, 389, 399, 411, 412, 415, 436, 446, 457, 481, 496, 497, 498, 499, 500, 510, 511, 512, 513, 516, 519, 520, 537, 538, 539, 541, 550, 559, 586, 616, 617, 618, 619, 621, 623, 624, 627, 630, 631, 633, 634, 635, 639, 646, 665, 681, 703, 704, 726, 727, 728, 731, 732, 733, 742, 743, 744, 745, 750, 752, 754, 755, 758, 760, 763, 765, 766, 778, 779, 780, 781, 782, 784, 799, 802, 808, 810, 814, 815, 816, 818, 819, 822, 823, 825, 826, 827, 829, 830, 834, 836, 849], "int32": [3, 38, 40, 49, 52, 53, 61, 62, 65, 72, 75, 76, 84, 85, 127, 132, 138, 144, 147, 150, 152, 154, 156, 158, 161, 163, 164, 168, 171, 175, 179, 183, 185, 203, 230, 376, 380, 501, 511, 512, 513, 541, 550, 586, 616, 617, 618, 619, 621, 630, 631, 634, 726, 727, 728, 732, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "6477362": 3, "29496726": 3, "04526032": 3, "float32": [3, 5, 7, 9, 11, 13, 18, 19, 38, 40, 41, 42, 48, 49, 53, 56, 71, 72, 75, 76, 79, 88, 133, 136, 138, 144, 145, 146, 150, 154, 155, 158, 159, 160, 161, 164, 167, 168, 170, 175, 178, 184, 248, 275, 327, 339, 362, 365, 368, 369, 380, 389, 399, 412, 436, 446, 513, 550, 586, 616, 617, 619, 621, 623, 624, 627, 639, 641, 642, 645, 672, 674, 675, 681, 703, 704, 760, 763, 764, 799, 814, 816, 827, 829, 830, 849, 850], "As": [3, 5, 6, 8, 9, 11, 13, 19, 23, 24, 26, 27, 29, 32, 38, 39, 63, 67, 90, 632, 736, 737, 738, 739, 799, 802, 804, 805, 806, 809, 811, 812, 813, 814, 815, 818, 819, 820, 821, 822, 825, 826, 827, 828, 829, 832, 836, 837, 838, 840, 844, 848, 849, 850, 855, 860], "expect": [3, 5, 6, 8, 19, 23, 26, 27, 29, 42, 43, 45, 52, 57, 58, 75, 81, 174, 242, 286, 368, 370, 390, 412, 446, 524, 617, 619, 621, 625, 669, 683, 778, 779, 799, 805, 806, 808, 814, 815, 818, 820, 823, 825, 827, 829, 832, 840, 841, 846, 848, 849, 850], "ident": [3, 9, 24, 41, 43, 57, 69, 127, 196, 543, 569, 616, 618, 621, 624, 628, 661, 666, 718, 779, 812, 822, 823, 826, 827, 830, 832, 836, 837, 840, 842, 844, 846], "had": [3, 812, 813, 825, 830, 834, 855, 856], "anoth": [3, 17, 19, 20, 23, 24, 26, 27, 29, 30, 42, 43, 128, 148, 150, 616, 617, 799, 804, 805, 806, 810, 812, 814, 815, 818, 820, 822, 825, 826, 829, 834, 836, 839, 842, 845, 847, 848, 849, 855, 861], "postprocess": 3, "routin": [3, 813, 825, 826, 832, 840, 855], "feed": [3, 208, 618, 848, 855, 856], "other": [3, 6, 8, 11, 13, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 49, 51, 52, 53, 59, 65, 69, 72, 74, 75, 76, 82, 88, 92, 97, 98, 121, 136, 148, 174, 235, 240, 242, 258, 267, 268, 331, 335, 365, 371, 457, 458, 466, 522, 523, 616, 617, 619, 621, 630, 634, 687, 697, 728, 751, 753, 765, 799, 802, 804, 805, 806, 808, 809, 812, 813, 816, 817, 818, 819, 820, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 841, 842, 845, 848, 849, 851, 853, 854, 855, 861, 862], "carefulli": [3, 273, 619, 778, 826, 853, 858], "rewrit": 3, "easili": [3, 23, 26, 27, 38, 799, 805, 809, 813, 819, 826, 832, 837, 838, 839, 840, 845, 855, 861, 862], "out": [3, 5, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 41, 44, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 149, 158, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 415, 416, 417, 418, 419, 420, 421, 424, 425, 427, 428, 429, 431, 432, 433, 434, 436, 440, 442, 443, 444, 445, 447, 448, 454, 456, 457, 458, 460, 461, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 524, 528, 529, 533, 534, 535, 537, 540, 541, 550, 560, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 771, 775, 776, 778, 779, 781, 782, 783, 784, 799, 800, 802, 803, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 822, 824, 826, 827, 828, 829, 830, 832, 833, 834, 835, 836, 837, 838, 839, 841, 844, 845, 846, 848, 849, 855, 862], "quickest": 3, "particular": [3, 26, 27, 263, 619, 764, 805, 806, 808, 810, 813, 814, 816, 823, 825, 826, 829, 830, 851, 855, 861], "hardwar": [3, 40, 97, 101, 799, 805, 832, 845, 851, 853, 854, 855, 856, 857, 858, 859, 860, 861], "again": [3, 5, 20, 21, 29, 30, 31, 32, 624, 672, 806, 809, 810, 811, 812, 816, 818, 820, 825, 826, 829, 830, 832, 837, 839, 840, 845, 846, 860, 861], "speed": [3, 6, 8, 9, 26, 27, 40, 45, 53, 76, 557, 621, 829, 844, 858], "up": [3, 5, 6, 8, 9, 26, 52, 53, 75, 76, 368, 371, 390, 403, 457, 465, 545, 557, 621, 623, 646, 799, 800, 802, 804, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 840, 844, 845, 846, 848, 856, 861, 862], "12": [3, 5, 6, 7, 9, 17, 19, 21, 22, 23, 24, 38, 40, 41, 42, 49, 51, 52, 53, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 83, 84, 88, 97, 98, 163, 218, 220, 225, 229, 230, 233, 235, 236, 237, 255, 268, 271, 278, 281, 288, 289, 311, 312, 342, 345, 346, 362, 365, 368, 371, 380, 386, 387, 388, 389, 391, 395, 396, 404, 405, 409, 410, 411, 412, 414, 456, 457, 459, 463, 468, 487, 500, 511, 517, 518, 519, 529, 533, 534, 565, 571, 579, 593, 619, 621, 623, 624, 626, 628, 629, 630, 631, 632, 634, 637, 641, 646, 647, 657, 659, 661, 665, 669, 673, 675, 676, 678, 680, 690, 694, 696, 698, 700, 717, 724, 726, 727, 728, 735, 736, 744, 745, 746, 750, 752, 763, 805, 810, 812, 814, 816, 824], "repeat": [3, 4, 20, 30, 52, 53, 59, 75, 76, 82, 368, 371, 380, 396, 401, 462, 510, 535, 621, 626, 627, 699, 703, 704, 792, 806, 809, 810, 816, 817, 825, 829], "previou": [3, 9, 19, 20, 21, 23, 29, 30, 31, 33, 54, 75, 77, 182, 183, 184, 185, 186, 357, 367, 368, 413, 589, 591, 592, 593, 594, 596, 597, 599, 603, 608, 617, 621, 622, 778, 796, 805, 806, 808, 810, 813, 815, 821, 826, 829, 832, 839, 840, 858], "trace": [3, 4, 5, 6, 7, 8, 15, 16, 20, 23, 26, 29, 31, 32, 44, 53, 57, 69, 76, 80, 552, 553, 556, 567, 576, 590, 598, 621, 624, 760, 771, 781, 783, 799, 808, 812, 814, 826, 831, 832, 834, 839, 840, 847, 848, 849, 856, 861], "befor": [3, 4, 5, 18, 19, 20, 21, 22, 28, 29, 30, 31, 32, 33, 40, 52, 56, 57, 59, 63, 65, 69, 75, 79, 80, 205, 208, 213, 368, 371, 380, 395, 400, 410, 414, 457, 464, 465, 466, 473, 511, 512, 618, 623, 624, 626, 627, 628, 632, 634, 636, 637, 638, 639, 641, 643, 645, 648, 649, 652, 664, 681, 687, 702, 703, 717, 736, 737, 738, 739, 744, 745, 750, 752, 779, 788, 792, 804, 805, 806, 808, 809, 811, 814, 815, 817, 818, 819, 820, 821, 823, 824, 825, 826, 827, 829, 834, 837, 840, 848, 849, 855], "13": [3, 5, 6, 7, 17, 21, 22, 23, 24, 38, 40, 42, 46, 51, 52, 56, 57, 61, 65, 74, 75, 76, 77, 79, 82, 84, 88, 97, 113, 163, 193, 218, 233, 242, 253, 273, 282, 342, 349, 356, 365, 368, 371, 388, 389, 399, 404, 410, 414, 456, 457, 459, 463, 468, 487, 500, 511, 512, 528, 529, 533, 534, 549, 571, 579, 602, 613, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 631, 632, 634, 637, 638, 646, 647, 657, 661, 669, 673, 675, 678, 700, 704, 717, 726, 727, 728, 735, 736, 744, 745, 746, 812, 814, 816, 826], "026875037000081647": 3, "14": [3, 5, 6, 7, 22, 38, 40, 41, 42, 49, 51, 52, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 84, 147, 160, 163, 216, 221, 223, 230, 234, 260, 264, 268, 274, 281, 289, 338, 368, 369, 371, 380, 386, 387, 388, 389, 399, 406, 409, 410, 411, 414, 418, 424, 425, 457, 459, 463, 468, 487, 511, 579, 602, 617, 619, 621, 622, 623, 624, 626, 628, 632, 634, 637, 638, 640, 642, 644, 646, 657, 659, 661, 669, 676, 678, 680, 700, 717, 726, 727, 728, 736, 745, 746, 812, 816, 829], "overrid": [3, 5, 32, 41, 48, 52, 71, 75, 136, 380, 510, 616, 809, 811], "behavior": [3, 5, 52, 63, 235, 242, 268, 277, 381, 521, 568, 591, 619, 621, 632, 736, 737, 738, 739, 804, 811, 812, 813, 814, 825, 826, 827, 829, 832, 834, 840, 852], "prealloc": [3, 5], "75": [3, 5, 38, 51, 52, 74, 75, 76, 79, 84, 114, 132, 221, 223, 235, 237, 248, 309, 341, 342, 362, 365, 410, 520, 535, 548, 579, 613, 616, 619, 621, 624, 628, 630, 637, 662, 669, 713, 728], "memori": [3, 5, 8, 21, 22, 23, 24, 48, 52, 59, 71, 75, 82, 123, 134, 190, 202, 208, 210, 214, 371, 380, 451, 452, 459, 461, 463, 464, 465, 472, 487, 517, 563, 568, 591, 616, 618, 621, 623, 626, 648, 689, 690, 691, 693, 695, 696, 698, 700, 793, 813, 814, 815, 825, 826, 832, 834, 840, 848, 855, 857, 858, 859], "temporari": [3, 5, 577, 599, 621, 793, 814, 831], "fix": [3, 5, 42, 52, 75, 92, 93, 365, 368, 369, 413, 441, 623, 649, 799, 802, 805, 806, 808, 814, 820, 829, 830], "until": [3, 5, 793, 806, 825, 834, 840, 845, 848, 862], "handl": [3, 5, 38, 40, 46, 50, 51, 52, 68, 69, 73, 74, 75, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 188, 189, 190, 191, 192, 196, 201, 202, 210, 214, 220, 232, 257, 259, 273, 279, 280, 285, 286, 290, 294, 295, 297, 360, 371, 456, 482, 613, 618, 619, 624, 634, 678, 750, 752, 775, 783, 800, 807, 812, 813, 814, 820, 821, 822, 824, 825, 826, 827, 828, 829, 831, 832, 838, 852, 862], "o": [3, 5, 39, 40, 41, 42, 44, 560, 621, 623, 649, 799, 805, 807, 813, 834, 841], "environ": [3, 5, 8, 21, 22, 23, 24, 41, 44, 799, 800, 806, 841, 855, 857], "xla_python_client_alloc": [3, 5], "platform": [3, 5, 9, 21, 22, 24, 801, 803, 805, 811, 853, 857, 859], "jit": [3, 6, 8, 26, 29, 834, 840, 848, 855], "img_jax": [3, 5], "device_put": [3, 6], "15": [3, 5, 7, 8, 9, 22, 38, 40, 41, 42, 45, 51, 52, 53, 57, 61, 65, 71, 72, 74, 75, 76, 79, 80, 82, 84, 88, 98, 131, 160, 218, 225, 229, 235, 237, 246, 253, 254, 259, 260, 268, 277, 278, 279, 342, 356, 365, 366, 368, 369, 371, 380, 386, 387, 404, 406, 409, 410, 414, 420, 459, 463, 468, 487, 511, 529, 533, 534, 537, 548, 549, 574, 579, 596, 616, 617, 619, 621, 623, 624, 626, 628, 630, 631, 632, 634, 637, 647, 657, 660, 661, 662, 669, 675, 676, 694, 700, 705, 717, 726, 727, 734, 736, 744, 745, 746, 760, 805, 813, 816, 824, 858], "warm": 3, "_": [3, 6, 8, 9, 26, 39, 40, 51, 52, 69, 74, 75, 77, 93, 150, 238, 240, 248, 249, 264, 329, 330, 365, 368, 371, 380, 411, 438, 441, 481, 510, 533, 602, 603, 617, 619, 621, 622, 624, 626, 628, 634, 672, 673, 675, 701, 712, 751, 806, 813, 814, 817, 825, 837], "rang": [3, 9, 26, 27, 38, 39, 40, 42, 48, 52, 65, 71, 75, 121, 132, 133, 282, 293, 301, 313, 360, 362, 369, 371, 380, 422, 432, 466, 474, 476, 481, 485, 511, 512, 513, 533, 601, 616, 619, 621, 632, 634, 736, 744, 745, 750, 752, 763, 765, 766, 778, 799, 804, 814, 818, 822, 829, 834, 837, 838, 839, 855, 861], "16": [3, 5, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 53, 56, 57, 61, 65, 72, 74, 75, 76, 79, 80, 82, 84, 97, 98, 163, 229, 258, 278, 285, 339, 342, 346, 365, 368, 371, 380, 386, 387, 389, 395, 399, 400, 404, 405, 410, 414, 446, 463, 511, 517, 534, 537, 559, 579, 580, 612, 617, 619, 621, 622, 623, 624, 626, 628, 630, 631, 634, 645, 647, 653, 657, 660, 661, 669, 671, 675, 700, 713, 726, 727, 728, 735, 745, 746, 763, 766, 799, 806, 814, 816, 837], "0022192720000475674": 3, "64773613": 3, "29496723": 3, "exact": [3, 52, 68, 69, 105, 368, 370, 403, 408, 445, 446, 632, 736, 738, 765, 775, 805, 806, 808, 816, 834], "note": [3, 5, 9, 22, 26, 27, 32, 41, 42, 43, 52, 53, 57, 59, 63, 75, 80, 82, 92, 129, 142, 174, 242, 277, 278, 285, 322, 323, 342, 362, 365, 368, 369, 371, 390, 421, 426, 434, 435, 441, 463, 481, 617, 619, 623, 624, 626, 632, 634, 649, 658, 659, 671, 672, 674, 693, 697, 737, 739, 748, 779, 793, 802, 804, 805, 806, 809, 814, 816, 817, 820, 825, 826, 827, 829, 830, 832], "were": [3, 5, 43, 69, 72, 163, 167, 168, 242, 619, 623, 649, 804, 805, 806, 814, 818, 820, 824, 825, 827, 829, 830, 832, 834, 848, 855, 856, 861], "function": [3, 9, 11, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 33, 34, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 148, 149, 150, 160, 161, 162, 163, 166, 167, 168, 170, 174, 175, 192, 194, 195, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 377, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 413, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 563, 564, 565, 568, 569, 572, 574, 576, 579, 580, 581, 582, 584, 586, 587, 588, 594, 598, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 707, 709, 711, 712, 713, 715, 716, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 761, 763, 764, 765, 766, 771, 775, 778, 781, 788, 789, 795, 799, 802, 805, 806, 807, 808, 809, 810, 811, 813, 816, 817, 819, 825, 828, 833, 835, 836, 837, 838, 842, 844, 848, 850, 852, 853, 854, 855, 856, 861, 862], "calcul": [3, 9, 40, 51, 52, 53, 58, 65, 69, 74, 75, 76, 80, 81, 88, 98, 215, 216, 217, 218, 219, 220, 221, 222, 223, 232, 233, 235, 238, 239, 240, 256, 257, 258, 259, 260, 261, 266, 267, 268, 273, 280, 281, 282, 284, 285, 286, 292, 301, 329, 330, 342, 352, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 422, 446, 473, 489, 491, 517, 557, 619, 621, 624, 625, 634, 660, 669, 672, 683, 684, 685, 747, 748, 749, 750, 751, 752, 753, 763, 765, 778, 779, 782, 804, 817, 834, 845, 848], "dog": 3, "18": [3, 8, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 61, 74, 75, 79, 80, 84, 88, 108, 230, 235, 277, 281, 290, 291, 342, 360, 365, 368, 371, 389, 395, 399, 400, 404, 410, 414, 463, 613, 619, 624, 630, 634, 641, 657, 664, 669, 676, 726, 727, 728, 745, 746, 750, 812, 814, 816], "19": [3, 8, 21, 22, 23, 24, 38, 40, 41, 42, 45, 51, 52, 61, 74, 75, 79, 80, 84, 221, 230, 258, 268, 285, 368, 369, 371, 380, 388, 389, 400, 404, 410, 414, 420, 425, 463, 511, 619, 624, 628, 630, 633, 657, 665, 678, 716, 726, 727, 728, 743, 816], "006431100999861883": 3, "258": [3, 623, 638, 640], "104": [3, 65, 624, 634, 669, 746], "259": 3, "72447652": 3, "13937832": 3, "05874982": 3, "samoi": 3, "wallabi": 3, "pomeranian": 3, "incorrect": [3, 813], "predict": [3, 5, 7, 9, 40, 41, 42, 43, 52, 58, 75, 81, 370, 442, 445, 448, 625, 683, 684, 685, 799, 814], "down": [3, 19, 29, 43, 52, 75, 368, 371, 403, 465, 805, 829, 842, 855, 861], "itself": [3, 21, 31, 51, 92, 269, 523, 588, 619, 621, 628, 717, 793, 802, 805, 806, 808, 811, 812, 813, 814, 815, 818, 819, 820, 825, 826, 838, 840, 844, 848, 854, 855, 856, 861], "version": [3, 9, 23, 24, 29, 40, 41, 42, 45, 46, 52, 75, 92, 105, 286, 334, 336, 365, 380, 515, 520, 601, 619, 621, 624, 659, 660, 760, 788, 789, 799, 805, 806, 811, 813, 814, 817, 825, 827, 834, 844, 845, 846, 849, 861, 862], "return": [3, 5, 6, 7, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 770, 771, 776, 778, 779, 781, 783, 788, 789, 792, 793, 794, 795, 796, 799, 805, 806, 809, 812, 814, 815, 816, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 848, 849, 850, 856], "20": [3, 9, 13, 38, 40, 41, 42, 45, 51, 52, 53, 56, 61, 65, 74, 75, 76, 79, 80, 84, 88, 230, 234, 238, 274, 278, 282, 298, 342, 344, 346, 365, 368, 371, 386, 388, 404, 410, 414, 456, 478, 533, 540, 541, 543, 565, 569, 579, 619, 621, 624, 630, 631, 634, 637, 638, 648, 657, 662, 665, 669, 676, 726, 734, 735, 744, 745, 746, 750, 752, 799, 813, 832, 836], "004749261999904775": 3, "7245": 3, "1394": 3, "0587": 3, "promis": [3, 845], "sourc": [3, 7, 18, 19, 20, 21, 22, 23, 24, 26, 27, 32, 33, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 763, 764, 765, 767, 768, 769, 770, 771, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 804, 805, 806, 808, 809, 811, 812, 813, 826, 828, 844, 845, 846, 847, 849, 850, 854, 855, 856, 857, 858], "21": [3, 9, 38, 40, 42, 45, 51, 52, 53, 61, 71, 74, 75, 79, 80, 84, 88, 97, 133, 163, 218, 221, 223, 229, 253, 268, 298, 349, 368, 369, 371, 380, 386, 389, 399, 404, 410, 412, 414, 418, 456, 511, 565, 616, 617, 619, 621, 624, 625, 628, 634, 657, 669, 673, 685, 711, 726, 727, 744, 745, 746, 818, 824], "modul": [3, 5, 6, 8, 11, 13, 15, 16, 17, 21, 22, 23, 24, 26, 27, 28, 32, 38, 39, 40, 42, 43, 44, 67, 69, 90, 98, 361, 363, 364, 372, 373, 377, 561, 621, 635, 756, 760, 775, 776, 777, 779, 780, 782, 784, 787, 788, 799, 801, 805, 809, 810, 811, 818, 822, 825, 826, 828, 829, 834, 835, 837, 839, 840, 846, 848, 850, 855, 856, 858], "def": [3, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 41, 42, 44, 51, 74, 117, 219, 527, 545, 615, 621, 627, 628, 703, 704, 711, 792, 799, 802, 804, 805, 808, 809, 812, 814, 815, 816, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 848, 849, 850], "__init__": [3, 5, 11, 13, 26, 27, 38, 39, 40, 42, 69, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 761, 768, 769, 770, 775, 778, 779, 780, 781, 782, 783, 784, 787, 788, 792, 794, 797, 799, 804, 809, 810, 814, 818, 826, 830, 834, 836, 837, 838, 839, 849], "self": [3, 5, 11, 13, 26, 27, 38, 39, 40, 42, 44, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 623, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 783, 792, 799, 806, 809, 812, 818, 826, 827, 834, 836, 837, 838, 839, 849], "num_class": [3, 11, 13, 26, 27, 40, 42, 44, 799, 839, 849], "1000": [3, 6, 7, 11, 26, 27, 40, 41, 42, 43, 45, 48, 71, 133, 616, 799, 837, 849], "v": [3, 4, 5, 15, 16, 19, 26, 27, 29, 32, 33, 38, 41, 42, 52, 56, 64, 71, 75, 79, 87, 133, 233, 238, 240, 281, 369, 371, 422, 430, 437, 438, 462, 619, 623, 627, 633, 649, 652, 703, 704, 742, 760, 779, 780, 781, 782, 783, 784, 799, 801, 805, 806, 807, 811, 819, 834, 837, 838, 839], "none": [3, 5, 6, 8, 9, 26, 38, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 96, 97, 98, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 165, 166, 167, 168, 170, 172, 175, 187, 190, 191, 203, 204, 205, 206, 207, 208, 209, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 506, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 566, 567, 568, 570, 571, 572, 573, 575, 576, 577, 579, 580, 582, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 709, 710, 711, 712, 716, 717, 718, 720, 721, 722, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 760, 761, 763, 764, 765, 766, 771, 775, 776, 778, 779, 780, 781, 782, 783, 784, 787, 788, 791, 793, 799, 802, 805, 808, 809, 810, 812, 813, 814, 815, 816, 818, 819, 821, 822, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 848, 849, 850], "_build": [3, 5, 780, 781, 799], "kwarg": [3, 4, 5, 8, 9, 26, 40, 44, 47, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 98, 101, 198, 371, 473, 560, 588, 616, 618, 621, 758, 760, 775, 776, 779, 780, 781, 788, 797, 799, 809, 814, 815, 818, 822, 825, 826, 832, 834, 838, 848, 849, 850], "featur": [3, 8, 9, 11, 13, 15, 17, 26, 27, 40, 44, 52, 75, 368, 382, 384, 391, 392, 393, 778, 779, 799, 804, 805, 806, 809, 810, 813, 814, 821, 830, 832, 837, 840, 849, 855, 856, 857, 861], "sequenti": [3, 5, 7, 24, 26, 27, 42, 799, 811, 812, 838, 849], "conv2d": [3, 5, 7, 24, 26, 27, 42, 45, 56, 79, 623, 640, 779, 799], "64": [3, 5, 7, 38, 40, 41, 42, 45, 51, 52, 56, 74, 75, 76, 79, 80, 84, 88, 98, 159, 229, 239, 273, 282, 283, 339, 365, 368, 389, 399, 533, 534, 580, 608, 617, 619, 621, 622, 623, 624, 628, 634, 638, 640, 642, 644, 645, 666, 669, 679, 713, 717, 727, 746, 750, 799, 805, 814, 837, 838, 860], "2": [3, 4, 5, 6, 7, 8, 9, 11, 17, 19, 20, 21, 22, 23, 24, 26, 27, 38, 39, 40, 41, 42, 45, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 98, 105, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 142, 144, 147, 148, 149, 150, 154, 158, 160, 168, 170, 175, 191, 192, 193, 196, 199, 201, 203, 206, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 250, 251, 252, 253, 254, 255, 256, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 310, 313, 314, 315, 322, 324, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 384, 386, 387, 388, 389, 390, 391, 392, 394, 395, 396, 399, 400, 401, 404, 405, 406, 409, 410, 411, 412, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 428, 431, 433, 436, 440, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 478, 479, 480, 481, 482, 483, 486, 487, 488, 492, 493, 495, 498, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 560, 562, 564, 565, 569, 578, 579, 580, 581, 582, 584, 588, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 708, 709, 711, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 766, 775, 778, 779, 788, 792, 793, 799, 802, 805, 806, 808, 810, 811, 812, 813, 814, 816, 818, 819, 821, 822, 824, 825, 826, 827, 829, 833, 834, 836, 837, 838, 839, 840, 848, 849, 850, 861, 862], "data_format": [3, 42, 52, 56, 75, 79, 368, 374, 383, 386, 387, 388, 391, 392, 393, 404, 405, 406, 407, 409, 489, 490, 491, 494, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 763, 779, 782, 799], "nchw": [3, 42, 52, 56, 75, 79, 368, 374, 383, 387, 392, 405, 409, 494, 623, 636, 639, 640, 643, 644, 645, 779, 799], "relu": [3, 5, 7, 24, 26, 27, 38, 45, 46, 52, 67, 68, 75, 107, 296, 297, 305, 360, 613, 775, 799, 827, 837, 838], "maxpool2d": [3, 5, 7, 40, 779, 799], "192": [3, 42, 763, 792], "384": [3, 77, 602, 622, 628, 705], "avgpool": [3, 7], "adaptiveavgpool2d": [3, 7, 779], "6": [3, 6, 7, 8, 9, 11, 19, 21, 22, 23, 24, 26, 27, 38, 40, 41, 42, 45, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 61, 62, 64, 65, 71, 72, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 93, 97, 98, 105, 107, 112, 117, 122, 123, 130, 131, 134, 135, 138, 144, 148, 149, 150, 158, 160, 168, 214, 215, 217, 218, 220, 221, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 245, 246, 247, 248, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 263, 265, 266, 267, 268, 270, 271, 272, 274, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 289, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 306, 307, 313, 324, 329, 330, 332, 334, 342, 343, 345, 346, 347, 349, 356, 360, 362, 365, 366, 368, 369, 370, 371, 376, 378, 380, 389, 391, 394, 395, 399, 400, 404, 410, 411, 412, 414, 417, 420, 423, 424, 428, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 457, 459, 463, 464, 468, 469, 472, 473, 478, 479, 481, 482, 487, 488, 498, 500, 501, 503, 508, 510, 511, 512, 513, 515, 517, 519, 520, 526, 528, 529, 532, 533, 534, 540, 541, 548, 549, 550, 565, 579, 580, 581, 582, 584, 588, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 654, 655, 656, 657, 659, 660, 661, 664, 665, 666, 669, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 694, 695, 696, 697, 698, 699, 700, 701, 705, 706, 716, 717, 723, 724, 725, 726, 727, 728, 730, 731, 732, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 763, 778, 799, 802, 805, 808, 810, 812, 813, 814, 816, 819, 824, 829, 832, 834, 836, 837, 838], "classifi": [3, 9, 11, 13, 26, 27, 40, 42, 43, 799, 804, 848, 849], "prob": [3, 42, 52, 56, 75, 79, 84, 368, 375, 391, 392, 393, 496, 623, 630, 646, 725, 779, 799], "linear": [3, 7, 13, 25, 26, 27, 38, 39, 40, 42, 45, 52, 53, 56, 68, 75, 76, 79, 105, 107, 109, 110, 113, 290, 293, 297, 299, 300, 301, 305, 346, 360, 365, 368, 371, 380, 403, 436, 473, 520, 537, 560, 613, 621, 623, 628, 649, 673, 712, 763, 765, 766, 778, 779, 799, 812, 817, 822, 823, 825, 826, 829, 832, 834, 837, 838, 839, 849, 853, 854, 855, 858], "4096": 3, "_forward": [3, 5, 6, 8, 26, 27, 38, 39, 42, 799, 817, 834, 837, 838], "x": [3, 5, 9, 11, 13, 17, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 38, 39, 40, 42, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 121, 122, 123, 124, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 163, 164, 167, 168, 170, 175, 191, 192, 196, 201, 202, 203, 207, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 269, 270, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 316, 322, 323, 327, 329, 330, 331, 332, 334, 335, 336, 337, 338, 341, 342, 343, 344, 345, 346, 347, 348, 349, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 378, 379, 380, 381, 385, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 414, 416, 418, 419, 421, 423, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 454, 455, 457, 458, 460, 461, 463, 466, 469, 470, 471, 472, 473, 474, 475, 476, 477, 480, 481, 483, 485, 486, 488, 489, 490, 491, 492, 493, 494, 495, 502, 503, 504, 505, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 558, 559, 560, 562, 569, 570, 571, 574, 577, 578, 579, 580, 581, 582, 584, 586, 587, 588, 600, 601, 603, 604, 605, 607, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 708, 711, 712, 713, 714, 715, 716, 717, 722, 723, 724, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 779, 782, 785, 788, 792, 797, 799, 802, 804, 807, 809, 810, 812, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 838, 839, 848, 849, 850], "reshap": [3, 26, 27, 42, 43, 52, 56, 57, 59, 69, 75, 79, 80, 82, 353, 365, 368, 369, 371, 386, 387, 388, 391, 404, 405, 406, 409, 418, 433, 457, 463, 601, 621, 623, 624, 626, 639, 641, 645, 665, 681, 799, 825, 826, 829, 832, 834, 836, 839], "bidirect": 4, "encod": [4, 11, 13, 26, 27, 40, 42, 53, 58, 76, 81, 537, 621, 625, 683, 799, 837, 845, 849], "mlm": 4, "support": [4, 8, 9, 17, 21, 22, 23, 24, 26, 29, 41, 50, 52, 53, 57, 73, 75, 76, 80, 142, 161, 165, 187, 194, 209, 218, 235, 242, 263, 264, 268, 278, 296, 322, 342, 360, 362, 365, 369, 371, 403, 421, 481, 526, 538, 547, 550, 551, 568, 582, 616, 617, 618, 619, 621, 623, 624, 647, 658, 659, 660, 663, 665, 674, 681, 758, 764, 771, 783, 788, 789, 792, 799, 801, 802, 804, 805, 806, 808, 809, 811, 815, 816, 817, 819, 821, 822, 824, 825, 827, 829, 830, 832, 833, 834, 836, 837, 839, 841, 842, 844, 845, 846, 849, 852, 854, 855, 858, 860, 861, 862], "googl": [4, 21, 22, 23, 24, 40, 41, 42, 44, 813, 845], "type": [4, 6, 11, 13, 17, 23, 26, 27, 32, 40, 41, 42, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 527, 528, 529, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 758, 760, 763, 764, 765, 766, 770, 771, 775, 778, 779, 780, 781, 785, 788, 792, 793, 794, 797, 799, 804, 805, 806, 807, 808, 809, 812, 815, 816, 817, 818, 821, 823, 825, 827, 829, 830, 832, 834, 836, 837, 848, 849, 850, 855, 856, 859], "choos": [4, 40, 42, 50, 62, 63, 73, 209, 235, 242, 263, 264, 268, 329, 330, 365, 371, 618, 619, 631, 632, 634, 735, 736, 737, 738, 739, 747, 748, 749, 751, 763, 799, 804, 805, 806, 823, 829, 835, 839, 848], "librari": [4, 6, 8, 15, 16, 22, 24, 38, 40, 50, 63, 73, 209, 240, 242, 258, 263, 264, 286, 329, 330, 365, 618, 619, 624, 632, 634, 659, 660, 736, 737, 738, 739, 747, 748, 749, 751, 799, 804, 805, 808, 814, 839, 840, 844, 845, 846, 848, 851, 852, 853, 855, 859, 862], "pretrain": [4, 6, 11, 12, 13, 26, 27, 45, 799, 849], "save": [4, 7, 40, 52, 69, 75, 380, 517, 577, 599, 618, 621, 635, 781, 805, 813, 820, 829, 840, 846, 854], "some": [4, 5, 8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 31, 32, 38, 42, 43, 69, 77, 240, 242, 258, 368, 391, 392, 393, 602, 603, 606, 608, 609, 610, 618, 619, 622, 628, 716, 779, 799, 802, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 836, 837, 838, 840, 841, 842, 845, 846, 848, 849, 851, 852, 854, 855, 856, 861, 862], "mohame54": 4, "automodel": [4, 8, 26], "autotoken": 4, "load": [4, 6, 8, 23, 26, 40, 41, 42, 43, 44, 45, 69, 369, 437, 635, 781, 799, 829, 840, 854, 861], "token": [4, 42], "bert_bas": 4, "from_pretrain": [4, 8, 26, 43, 848, 849], "base": [4, 9, 40, 43, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 94, 95, 96, 97, 98, 100, 102, 133, 142, 174, 238, 239, 256, 257, 258, 259, 273, 313, 322, 324, 331, 334, 339, 346, 362, 365, 368, 369, 378, 410, 414, 437, 502, 570, 580, 592, 616, 617, 619, 621, 624, 626, 632, 634, 665, 689, 736, 737, 738, 739, 746, 761, 764, 765, 768, 769, 770, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 787, 788, 793, 794, 797, 799, 805, 806, 808, 812, 813, 814, 818, 821, 823, 824, 825, 827, 828, 829, 830, 831, 832, 834, 855, 860, 862], "uncas": 4, "eval": [4, 5, 7, 21, 22, 23, 24, 781], "evalu": [4, 51, 52, 69, 74, 75, 238, 240, 256, 257, 258, 259, 263, 270, 272, 279, 283, 316, 347, 358, 359, 362, 367, 369, 370, 371, 433, 446, 470, 612, 619, 622, 628, 635, 715, 716, 754, 755, 780, 781, 806, 812, 814, 822, 823, 855], "bert_token": 4, "sampl": [4, 6, 8, 11, 13, 23, 26, 27, 41, 48, 51, 52, 61, 65, 71, 74, 75, 84, 88, 132, 133, 287, 313, 362, 368, 370, 371, 375, 391, 392, 393, 403, 413, 415, 446, 476, 496, 497, 498, 499, 500, 616, 619, 630, 634, 725, 726, 727, 728, 751, 753, 779, 827, 829], "test": [4, 18, 19, 21, 22, 28, 29, 31, 32, 33, 41, 42, 51, 53, 66, 74, 76, 89, 120, 166, 170, 249, 250, 251, 252, 275, 368, 391, 392, 393, 557, 615, 617, 619, 621, 635, 754, 755, 758, 761, 764, 793, 799, 801, 802, 803, 807, 811, 814, 816, 818, 820, 823, 826, 828, 830, 840, 841, 846, 848, 849, 850, 855], "did": [4, 40, 804, 811, 839, 845, 861], "realli": [4, 38, 805, 812, 819, 840, 848, 860, 861], "like": [4, 6, 8, 18, 19, 20, 26, 28, 29, 30, 31, 32, 33, 43, 45, 48, 51, 52, 59, 71, 74, 75, 79, 82, 87, 133, 151, 174, 219, 239, 245, 248, 261, 279, 335, 339, 351, 365, 368, 369, 370, 371, 378, 380, 410, 412, 421, 443, 452, 453, 462, 463, 502, 503, 520, 616, 617, 619, 624, 626, 630, 633, 658, 693, 728, 741, 793, 799, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 833, 834, 836, 837, 838, 839, 840, 845, 848, 849, 855, 860], "input": [4, 5, 8, 11, 13, 23, 24, 26, 31, 32, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 93, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 150, 151, 152, 153, 155, 156, 157, 158, 159, 160, 163, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 189, 191, 192, 205, 208, 209, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 316, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 411, 412, 413, 414, 415, 416, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 431, 433, 434, 435, 436, 437, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 456, 457, 458, 459, 461, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 564, 565, 566, 572, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 594, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 711, 712, 713, 714, 716, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 764, 771, 775, 778, 779, 780, 781, 782, 792, 793, 808, 809, 810, 812, 814, 815, 816, 817, 822, 823, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 848, 849, 856, 859], "pad": [4, 7, 40, 42, 52, 56, 59, 75, 79, 82, 93, 95, 368, 371, 386, 387, 388, 389, 390, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 537, 621, 623, 626, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 688, 701, 765, 779, 799], "longest": 4, "return_tensor": [4, 8, 26, 43, 848, 849], "pt": [4, 8, 26, 848], "max_length": [4, 69], "512": [4, 5, 7, 40, 42, 80, 623, 638, 679, 799], "input_id": 4, "101": [4, 9, 41, 623, 624, 628, 647, 662, 711], "1045": 4, "2106": 4, "1005": 4, "1056": 4, "2428": 4, "2066": 4, "2115": 4, "4309": 4, "1012": 4, "102": [4, 9, 52, 75, 84, 389, 726], "token_type_id": 4, "attention_mask": [4, 56, 79, 623, 649], "pooler": 4, "compar": [4, 6, 8, 26, 39, 43, 45, 52, 53, 63, 64, 65, 69, 75, 76, 87, 88, 328, 344, 365, 380, 518, 522, 525, 621, 632, 633, 634, 736, 737, 738, 739, 740, 743, 749, 760, 799, 810, 816, 818, 827, 829, 832, 837, 851, 853, 855, 861, 862], "no_grad": [4, 40, 848], "bert_output": 4, "pooler_output": 4, "ivy_bert": 4, "bert_base_uncas": 4, "ivy_input": 4, "k": [4, 6, 39, 42, 48, 52, 53, 56, 57, 61, 71, 74, 75, 79, 80, 84, 92, 93, 117, 127, 140, 141, 142, 262, 307, 322, 323, 362, 369, 371, 375, 378, 380, 419, 432, 436, 438, 440, 479, 483, 496, 497, 498, 499, 500, 503, 513, 525, 615, 616, 621, 623, 624, 628, 630, 631, 649, 652, 656, 664, 665, 671, 673, 674, 675, 678, 713, 726, 727, 728, 734, 799, 807, 808, 826, 827, 834, 848, 851, 855], "ivy_output": [4, 43], "logits_clos": 4, "allclos": [4, 6, 8, 11, 13, 26, 43, 45, 52, 75, 365], "detach": [4, 6, 8, 11, 13, 26, 824], "rtol": [4, 11, 13, 52, 57, 75, 80, 328, 344, 365, 624, 667, 670, 758, 760, 802, 819, 827], "005": [4, 7, 52, 75, 328, 344, 365, 442], "atol": [4, 6, 8, 26, 52, 57, 75, 80, 328, 344, 365, 624, 667, 758, 760, 802, 819, 827], "equal": [4, 48, 49, 51, 52, 53, 57, 58, 59, 61, 63, 64, 65, 69, 72, 74, 75, 76, 80, 81, 82, 84, 87, 93, 97, 98, 127, 129, 130, 131, 137, 138, 147, 227, 229, 233, 238, 240, 249, 250, 271, 273, 278, 281, 282, 286, 324, 325, 326, 328, 344, 362, 365, 368, 369, 371, 374, 380, 390, 411, 436, 459, 468, 481, 487, 492, 493, 495, 513, 522, 525, 601, 616, 617, 619, 621, 624, 625, 626, 630, 631, 632, 633, 634, 657, 666, 667, 670, 672, 678, 683, 686, 688, 693, 695, 701, 728, 734, 736, 737, 738, 739, 740, 743, 748, 750, 751, 752, 753, 771, 778, 779, 811, 812, 814, 816, 818, 827, 829], "els": [4, 5, 6, 9, 41, 42, 44, 45, 52, 53, 61, 74, 75, 84, 153, 154, 155, 156, 157, 169, 275, 279, 368, 369, 375, 413, 426, 435, 439, 441, 497, 532, 536, 617, 619, 621, 623, 628, 630, 648, 715, 718, 726, 727, 728, 758, 792, 793, 799, 804, 805, 806, 808, 810, 814, 815, 818, 822, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 856], "768": 4, "fn": [4, 43, 45, 52, 69, 72, 75, 101, 161, 162, 194, 195, 198, 371, 450, 523, 538, 539, 588, 617, 618, 621, 628, 711, 712, 713, 715, 716, 717, 758, 760, 785, 788, 794, 795, 797, 815, 818, 825, 826, 834, 848], "finish": [4, 15, 26, 27, 38, 41, 799, 800, 804, 805, 807], "2f": [4, 6], "sec": 4, "89": [4, 9, 38, 51, 61, 72, 74, 75, 84, 98, 163, 230, 617, 624, 634, 676, 727, 728, 752], "43": [4, 9, 38, 40, 42, 52, 75, 84, 98, 229, 368, 369, 380, 388, 420, 511, 619, 630, 631, 727, 728, 735], "procedur": [4, 811, 813, 816, 827], "60": [4, 38, 42, 51, 65, 74, 76, 84, 88, 219, 253, 371, 478, 541, 549, 565, 579, 601, 619, 621, 624, 628, 634, 669, 708, 726, 744, 746, 750, 793, 813], "big": [4, 778, 800, 840, 855], "jnp": [4, 18, 23, 26, 27, 28, 29, 32, 38, 40, 44, 799, 814, 815, 818, 821, 825, 830, 834, 839, 849, 850], "config": [4, 5, 6, 8, 9, 20, 23, 26, 27, 40, 41, 43, 69, 628, 718, 799, 805, 808, 811, 813, 820, 827, 837, 848, 856], "jax_enable_x64": [4, 5, 6, 8, 9, 20, 23, 26, 27, 799], "ref": [4, 5, 76, 80, 254, 268, 271, 277, 284, 619, 626, 697, 805, 825], "initi": [4, 26, 27, 43, 52, 56, 65, 69, 75, 79, 88, 98, 369, 380, 426, 435, 441, 518, 519, 623, 634, 648, 749, 776, 779, 780, 781, 783, 784, 799, 806, 810, 814, 815, 819, 827, 829, 834, 845, 848, 849, 850, 855, 861, 862], "fast": [4, 21, 31, 52, 368, 390, 855], "valu": [4, 9, 38, 39, 41, 42, 48, 49, 51, 52, 53, 54, 56, 57, 59, 60, 61, 62, 63, 64, 65, 68, 69, 71, 72, 74, 75, 76, 77, 79, 80, 82, 83, 84, 85, 86, 87, 88, 95, 97, 98, 100, 113, 117, 118, 120, 121, 127, 130, 131, 132, 133, 136, 142, 147, 164, 168, 174, 207, 208, 215, 216, 217, 218, 220, 222, 223, 224, 231, 235, 236, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 265, 266, 267, 268, 269, 270, 271, 272, 273, 275, 276, 277, 278, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 293, 296, 301, 304, 305, 307, 314, 316, 322, 324, 325, 326, 328, 329, 330, 331, 332, 334, 335, 336, 337, 338, 341, 342, 344, 345, 347, 350, 352, 353, 354, 355, 356, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 379, 380, 390, 403, 410, 411, 413, 415, 419, 422, 426, 430, 435, 437, 439, 441, 442, 444, 445, 446, 447, 456, 462, 467, 473, 478, 480, 481, 482, 483, 486, 489, 491, 496, 497, 499, 500, 506, 508, 511, 512, 513, 516, 517, 518, 519, 520, 526, 528, 529, 530, 532, 537, 540, 541, 543, 548, 549, 550, 557, 564, 565, 569, 570, 571, 574, 582, 587, 592, 593, 596, 599, 600, 601, 602, 603, 604, 608, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 648, 649, 652, 656, 659, 660, 665, 666, 667, 670, 671, 672, 673, 674, 675, 678, 681, 686, 687, 688, 692, 693, 701, 702, 703, 707, 709, 710, 711, 712, 713, 718, 722, 723, 724, 725, 726, 727, 728, 729, 731, 732, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 758, 760, 763, 764, 765, 766, 768, 770, 775, 778, 779, 780, 781, 782, 783, 802, 805, 806, 808, 811, 812, 814, 815, 816, 817, 818, 819, 821, 822, 825, 826, 829, 831, 832, 834, 836, 840, 848, 855, 856], "demo": [5, 6, 7, 8, 9, 27, 34, 38, 42, 799], "milesi": 5, "blob": [5, 40, 42], "2f62e6b1c8e98022a6418d31a76f6abd800e5ae7": 5, "util": [5, 8, 21, 22, 23, 24, 40, 43, 52, 75, 193, 369, 437, 618, 785, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 805, 811, 815, 818, 819, 822, 825, 829, 830, 834, 849, 853, 861, 862], "data_load": 5, "py": [5, 7, 8, 21, 22, 23, 24, 40, 42, 45, 88, 369, 437, 746, 788, 792, 799, 804, 805, 806, 808, 810, 813, 814, 815, 817, 818, 819, 820, 821, 822, 826, 827, 829, 830, 834, 836, 838, 839], "l65": 5, "mask_valu": 5, "pil_img": 5, "scale": [5, 6, 40, 52, 56, 60, 75, 77, 79, 83, 107, 206, 207, 298, 299, 302, 313, 342, 360, 362, 365, 368, 369, 374, 385, 391, 392, 393, 401, 403, 408, 412, 428, 489, 490, 491, 609, 613, 618, 622, 623, 629, 646, 649, 652, 724, 763, 765, 766, 778, 779, 783, 793, 855, 857], "is_mask": 5, "w": [5, 8, 41, 42, 52, 53, 54, 56, 69, 74, 75, 76, 77, 79, 92, 262, 342, 357, 365, 367, 368, 369, 374, 386, 387, 388, 390, 404, 405, 406, 407, 423, 441, 494, 509, 533, 535, 579, 602, 603, 604, 606, 608, 609, 610, 621, 622, 623, 628, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 711, 799, 807, 824, 834, 837, 838, 849], "h": [5, 52, 53, 56, 75, 76, 79, 368, 374, 387, 388, 405, 406, 494, 533, 535, 621, 623, 628, 636, 639, 640, 641, 642, 643, 644, 645, 708, 712, 714, 717, 722, 807, 811, 812, 813, 849, 851], "size": [5, 9, 11, 13, 18, 21, 22, 28, 29, 31, 32, 33, 40, 42, 45, 52, 53, 56, 57, 59, 61, 62, 69, 75, 76, 79, 80, 82, 84, 85, 92, 93, 97, 98, 129, 132, 206, 207, 208, 306, 309, 313, 324, 325, 326, 327, 334, 349, 356, 362, 365, 366, 368, 369, 371, 374, 375, 378, 380, 382, 383, 384, 385, 386, 387, 403, 404, 405, 407, 408, 414, 415, 422, 425, 435, 441, 443, 457, 459, 471, 481, 483, 490, 491, 494, 498, 503, 515, 516, 517, 518, 519, 520, 559, 564, 616, 618, 621, 623, 624, 626, 630, 631, 635, 649, 652, 654, 657, 661, 665, 669, 671, 674, 680, 689, 694, 695, 696, 725, 731, 734, 754, 755, 763, 765, 766, 779, 793, 799, 825, 827, 829, 832, 837, 848, 850], "neww": 5, "newh": 5, "int": [5, 40, 43, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 95, 97, 101, 108, 112, 113, 122, 123, 127, 129, 130, 131, 132, 133, 136, 140, 141, 142, 149, 156, 159, 160, 163, 170, 185, 199, 200, 201, 208, 209, 218, 225, 226, 227, 228, 229, 230, 242, 245, 269, 273, 278, 284, 287, 294, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 329, 330, 334, 335, 338, 342, 349, 351, 353, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 418, 422, 424, 425, 426, 427, 429, 432, 434, 435, 438, 439, 441, 445, 449, 450, 454, 458, 459, 462, 463, 466, 468, 471, 472, 473, 474, 475, 476, 477, 478, 479, 481, 482, 483, 485, 486, 487, 490, 492, 493, 495, 496, 497, 498, 499, 500, 501, 503, 508, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 523, 533, 534, 535, 537, 540, 541, 544, 545, 559, 562, 564, 579, 580, 581, 585, 601, 602, 603, 604, 605, 608, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 654, 656, 657, 665, 666, 671, 676, 678, 679, 680, 681, 683, 684, 685, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 708, 711, 712, 714, 716, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 734, 736, 738, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 775, 778, 779, 792, 793, 812, 814, 815, 816, 818, 821, 822, 825, 827, 829, 830, 832, 834, 839, 848], "assert": [5, 9, 41, 43, 45, 69, 526, 621, 771, 802, 807, 808, 819, 822, 825, 826, 827, 829, 830, 836, 837], "too": [5, 52, 75, 218, 235, 242, 268, 371, 481, 619, 778, 804, 805, 806, 808, 814, 818, 830, 840], "small": [5, 9, 42, 51, 52, 57, 60, 74, 75, 80, 83, 235, 242, 268, 269, 328, 344, 365, 369, 370, 374, 430, 446, 489, 490, 491, 619, 624, 629, 667, 670, 672, 724, 778, 782, 799, 805, 813, 816, 822, 827, 832, 834, 838, 840, 848, 849, 856], "would": [5, 8, 9, 20, 21, 22, 23, 24, 26, 27, 30, 32, 34, 42, 48, 50, 52, 71, 73, 75, 82, 108, 112, 123, 209, 368, 371, 395, 400, 451, 452, 459, 461, 463, 464, 465, 472, 476, 487, 613, 618, 689, 690, 691, 693, 695, 696, 698, 700, 765, 775, 779, 799, 800, 802, 804, 805, 806, 807, 808, 809, 810, 812, 813, 814, 816, 817, 819, 821, 823, 825, 826, 827, 829, 830, 832, 833, 834, 836, 838, 839, 840, 841, 845, 848, 855, 861], "pixel": [5, 40, 52, 75, 368, 403], "resampl": 5, "nearest": [5, 52, 75, 218, 235, 268, 278, 338, 365, 368, 380, 403, 520, 619, 832], "bicub": [5, 52, 75, 368, 403, 832], "zero": [5, 40, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 63, 65, 66, 71, 72, 74, 75, 77, 79, 80, 84, 85, 88, 89, 93, 107, 109, 110, 111, 113, 124, 125, 127, 129, 134, 136, 137, 138, 140, 141, 144, 147, 148, 216, 217, 218, 220, 221, 222, 223, 224, 227, 229, 230, 232, 233, 234, 235, 237, 240, 241, 242, 249, 250, 251, 252, 258, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 277, 278, 280, 281, 282, 283, 285, 286, 288, 289, 291, 293, 297, 299, 305, 307, 316, 323, 329, 330, 333, 334, 335, 338, 346, 349, 351, 352, 353, 354, 360, 362, 365, 368, 369, 371, 378, 380, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 410, 411, 412, 413, 414, 415, 420, 422, 433, 436, 457, 467, 472, 473, 484, 502, 511, 512, 529, 533, 540, 560, 565, 602, 603, 608, 609, 610, 611, 613, 616, 617, 619, 621, 622, 623, 624, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 643, 645, 646, 647, 649, 652, 653, 655, 659, 660, 662, 663, 664, 665, 666, 667, 668, 670, 672, 678, 680, 681, 688, 689, 690, 691, 693, 694, 701, 724, 726, 727, 728, 731, 732, 733, 734, 736, 737, 738, 739, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 778, 779, 783, 809, 812, 814, 815, 816, 821, 823, 824, 827, 834, 837, 838, 846, 854], "int64": [5, 52, 61, 62, 64, 65, 72, 84, 85, 87, 88, 137, 150, 156, 159, 161, 163, 167, 168, 172, 179, 310, 362, 378, 380, 503, 511, 512, 616, 617, 631, 633, 634, 726, 731, 732, 733, 742, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "enumer": [5, 40, 42, 768, 799], "ndim": [5, 52, 57, 62, 75, 80, 85, 97, 101, 369, 371, 434, 435, 441, 451, 452, 453, 466, 474, 476, 485, 601, 621, 624, 631, 671, 674, 734, 812, 822, 829], "newaxi": [5, 614], "transpos": [5, 23, 26, 27, 44, 52, 56, 57, 69, 75, 79, 80, 97, 369, 416, 432, 434, 436, 509, 623, 624, 636, 638, 640, 642, 643, 644, 664, 668, 670, 676, 765, 779, 799, 819, 825, 836, 839, 849], "255": [5, 23, 26, 27, 40, 41, 42, 44, 56, 75, 79, 229, 619, 645, 799, 849], "car": 5, "full_img": 5, "from_numpi": [5, 837], "fals": [5, 6, 7, 8, 13, 17, 26, 29, 40, 41, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 96, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 123, 124, 126, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 160, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 191, 192, 197, 199, 202, 203, 205, 208, 209, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 409, 410, 411, 413, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 460, 461, 462, 463, 464, 465, 468, 469, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 502, 503, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 560, 564, 565, 566, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 589, 594, 595, 597, 598, 600, 603, 604, 606, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 711, 715, 716, 717, 718, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 775, 776, 779, 780, 781, 783, 785, 788, 792, 793, 794, 797, 799, 802, 805, 808, 810, 813, 814, 815, 816, 818, 819, 825, 826, 827, 829, 831, 832, 834, 837, 838, 839, 848, 849], "permut": [5, 7, 40, 59, 82, 97, 378, 502, 626, 691, 698, 849], "img_numpi": 5, "cpu": [5, 6, 8, 21, 22, 23, 24, 26, 40, 41, 42, 44, 45, 48, 50, 52, 61, 71, 73, 75, 84, 121, 127, 130, 132, 133, 136, 137, 138, 144, 188, 189, 191, 192, 193, 194, 199, 202, 204, 206, 209, 210, 212, 214, 375, 496, 497, 499, 500, 616, 618, 624, 630, 663, 725, 726, 727, 728, 760, 778, 779, 780, 781, 782, 783, 784, 799, 802, 805, 806, 811, 814, 815, 819, 826, 829, 840, 853, 855, 858, 860], "torch_unet": 5, "unet_carvana": 5, "when": [5, 7, 8, 9, 17, 19, 21, 22, 23, 24, 26, 27, 29, 31, 32, 33, 41, 43, 47, 48, 49, 51, 52, 57, 58, 61, 62, 65, 69, 71, 72, 74, 75, 80, 81, 84, 85, 88, 98, 136, 147, 218, 235, 240, 242, 258, 268, 286, 287, 294, 329, 330, 360, 365, 368, 369, 370, 374, 375, 380, 390, 403, 415, 422, 426, 435, 441, 446, 489, 491, 497, 517, 520, 550, 566, 574, 580, 616, 617, 619, 621, 623, 624, 625, 626, 628, 630, 631, 634, 636, 649, 667, 672, 683, 684, 685, 693, 716, 717, 726, 727, 728, 731, 732, 734, 735, 747, 749, 751, 753, 763, 766, 778, 779, 780, 781, 782, 788, 800, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 839, 840, 841, 844, 845, 848, 849, 853, 855, 858, 859, 860, 861], "ivy_unet": 5, "n_channel": 5, "n_class": 5, "forward": [5, 7, 13, 26, 27, 40, 42, 52, 75, 358, 367, 368, 390, 395, 396, 400, 401, 411, 412, 776, 778, 779, 781, 783, 799, 805, 810, 817, 824, 829, 830, 832, 839, 840, 848, 855, 856], "effici": [5, 6, 7, 8, 15, 16, 18, 19, 26, 27, 28, 29, 52, 57, 75, 80, 369, 370, 430, 445, 573, 595, 621, 624, 667, 799, 805, 806, 812, 822, 823, 825, 829, 831, 834, 837, 840, 849, 855, 857, 858], "l62": 5, "mask_to_imag": 5, "ndarrai": [5, 48, 52, 53, 71, 75, 93, 122, 123, 135, 368, 369, 371, 380, 412, 435, 478, 516, 517, 586, 616, 621, 788, 792, 804, 809, 814, 815, 818, 821, 825, 826, 827, 830, 832, 834, 836, 839, 842], "isinst": [5, 9, 24, 26, 27, 818, 826, 829, 830, 838, 839], "len": [5, 9, 40, 42, 48, 52, 57, 75, 80, 134, 310, 319, 320, 362, 368, 369, 380, 401, 412, 424, 427, 435, 441, 520, 616, 624, 659, 679, 799, 812, 813, 818, 825, 826, 829, 836, 839, 848], "uint8": [5, 23, 26, 27, 42, 150, 157, 161, 172, 175, 180, 186, 617, 763, 764, 814, 829], "elif": [5, 6, 813, 818, 825, 826, 827], "bool": [5, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 122, 123, 124, 129, 130, 131, 132, 133, 134, 136, 138, 144, 147, 148, 150, 151, 153, 154, 155, 156, 157, 158, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 177, 183, 187, 191, 192, 194, 195, 197, 199, 202, 203, 208, 209, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 317, 318, 319, 320, 321, 323, 328, 329, 330, 331, 332, 334, 336, 343, 344, 349, 350, 352, 354, 355, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 386, 387, 388, 390, 391, 392, 393, 403, 404, 405, 406, 409, 411, 413, 415, 422, 426, 429, 432, 434, 435, 436, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 461, 462, 463, 464, 465, 468, 472, 476, 479, 481, 482, 483, 487, 489, 491, 492, 493, 494, 495, 497, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 560, 564, 565, 569, 578, 579, 580, 582, 584, 586, 587, 600, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 646, 647, 648, 649, 652, 653, 654, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 671, 672, 673, 674, 678, 679, 681, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 722, 723, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 761, 763, 764, 765, 775, 779, 782, 783, 792, 793, 797, 814, 816, 818, 825, 826, 829, 830, 832, 834, 839, 848, 849], "argmax": [5, 41, 42, 43, 62, 85, 371, 478, 631, 799, 826, 848], "fromarrai": [5, 23, 26, 27, 42], "interpol": [5, 40, 52, 75, 346, 365, 368, 380, 520, 623, 649, 832, 855], "mode": [5, 32, 44, 52, 57, 69, 75, 80, 91, 92, 93, 94, 95, 96, 205, 208, 213, 218, 235, 268, 321, 358, 359, 362, 367, 368, 369, 371, 398, 403, 411, 412, 424, 426, 432, 434, 435, 441, 456, 466, 471, 473, 474, 476, 478, 481, 482, 485, 566, 567, 568, 572, 573, 575, 576, 589, 590, 594, 595, 597, 598, 618, 619, 621, 624, 671, 771, 779, 780, 781, 796, 805, 806, 807, 812, 815, 816, 819, 832, 840, 855, 858], "bilinear": [5, 52, 75, 368, 403, 832], "torch_mask": 5, "squeez": [5, 40, 59, 82, 626, 855], "torch_result": 5, "to_numpi": [5, 9, 26, 27, 38, 41, 42, 45, 53, 76, 621, 799, 819, 827, 837], "give": [5, 18, 28, 38, 52, 56, 75, 79, 174, 358, 367, 368, 410, 414, 617, 623, 626, 636, 637, 638, 639, 641, 643, 645, 693, 778, 799, 805, 806, 807, 810, 813, 814, 816, 817, 819, 820, 821, 829, 846, 855, 859], "img_tf": 5, "math": [5, 43, 93, 285, 619, 814, 825, 826, 827, 839, 853], "ve": [5, 9, 15, 24, 26, 61, 84, 630, 725, 804, 805, 806, 819, 829, 832, 833, 836, 842], "lot": [5, 813, 814, 823, 829, 840, 845, 846, 854], "far": [5, 26, 27, 628, 705, 716, 793, 815, 816, 835, 860, 861], "space": [5, 48, 51, 52, 53, 71, 74, 75, 76, 121, 132, 133, 287, 342, 365, 370, 443, 533, 537, 616, 619, 621, 832, 845], "del": [5, 813], "empty_cach": 5, "permute_dim": [5, 59, 82, 626, 819], "usr": [5, 40, 41, 42, 45, 805], "local": [5, 8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 27, 31, 32, 33, 40, 41, 42, 45, 374, 494, 545, 621, 800, 805, 808, 811, 819, 822, 827, 829], "lib": [5, 9, 21, 22, 23, 24, 40, 41, 42, 45], "python3": [5, 7, 21, 22, 23, 24, 26, 40, 42, 45, 799, 805, 806], "dist": [5, 40, 41, 42, 45], "func_wrapp": [5, 46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 815, 826, 831], "242": [5, 75], "userwarn": [5, 7, 8, 21, 22, 23, 24, 45], "creat": [5, 8, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 40, 41, 42, 44, 45, 48, 51, 52, 61, 69, 71, 74, 75, 80, 84, 93, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 142, 143, 144, 269, 306, 307, 317, 319, 321, 322, 362, 368, 369, 371, 375, 386, 387, 388, 409, 426, 435, 441, 449, 457, 473, 478, 496, 497, 498, 499, 500, 568, 584, 601, 612, 616, 619, 621, 622, 630, 669, 725, 726, 727, 728, 730, 760, 771, 776, 778, 779, 780, 781, 782, 783, 784, 800, 805, 806, 809, 810, 811, 813, 814, 815, 818, 822, 823, 825, 826, 827, 829, 832, 834, 835, 838, 841, 842, 845, 848, 849, 850, 855, 856, 861], "mani": [5, 26, 27, 30, 59, 69, 82, 142, 322, 362, 616, 626, 695, 799, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 817, 821, 822, 823, 825, 826, 827, 829, 832, 834, 836, 837, 840, 844, 845, 846, 851, 855, 858, 861, 862], "view": [5, 8, 21, 22, 23, 24, 52, 59, 75, 97, 128, 139, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 616, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 805, 806, 818, 855], "lead": [5, 8, 21, 22, 23, 24, 57, 69, 80, 98, 242, 369, 430, 568, 619, 621, 624, 671, 674, 765, 813, 814, 816, 828, 830, 840, 845, 846], "overhead": [5, 8, 19, 21, 22, 23, 24, 26, 27, 29, 840, 848, 858], "perform": [5, 9, 19, 21, 22, 23, 24, 26, 27, 29, 31, 38, 40, 48, 52, 56, 57, 65, 66, 71, 75, 76, 79, 80, 88, 89, 108, 112, 132, 133, 205, 213, 235, 268, 289, 335, 356, 365, 366, 368, 369, 371, 378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 409, 411, 435, 450, 503, 511, 512, 533, 534, 535, 548, 549, 550, 566, 576, 613, 616, 618, 619, 621, 623, 624, 627, 628, 634, 635, 646, 648, 674, 676, 681, 702, 703, 704, 712, 713, 744, 745, 754, 755, 758, 775, 779, 793, 808, 809, 810, 812, 814, 815, 816, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 837, 840, 846, 848, 849, 852, 855, 856, 857, 858, 859, 860, 862], "inplac": [5, 7, 8, 9, 21, 22, 23, 24, 47, 53, 69, 76, 92, 95, 524, 526, 547, 550, 551, 568, 569, 621, 628, 712, 713, 717, 722, 723, 770, 771, 776, 783, 807, 809, 816, 819, 821, 823, 826, 832, 836, 838], "17": [5, 8, 9, 21, 22, 23, 24, 38, 40, 42, 45, 46, 52, 57, 68, 74, 75, 76, 77, 79, 80, 84, 98, 107, 108, 133, 218, 235, 260, 268, 298, 306, 356, 362, 368, 371, 386, 387, 395, 396, 399, 400, 404, 405, 410, 414, 463, 534, 549, 602, 604, 613, 616, 619, 621, 622, 623, 624, 628, 630, 637, 646, 647, 657, 661, 713, 726, 727, 728, 730, 812], "factor": [5, 9, 52, 54, 56, 57, 75, 77, 79, 80, 91, 92, 93, 94, 95, 206, 207, 208, 368, 369, 374, 401, 412, 426, 427, 435, 438, 440, 441, 494, 602, 603, 608, 609, 618, 622, 623, 624, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 653, 763, 765, 766, 778, 779, 783, 818, 845], "inc": 5, "unetdoubleconv": 5, "down1": 5, "unetdown": 5, "128": [5, 7, 26, 27, 40, 49, 51, 56, 72, 74, 79, 98, 163, 239, 368, 389, 399, 533, 543, 617, 619, 621, 623, 624, 638, 640, 645, 669, 799], "down2": 5, "down3": 5, "down4": 5, "1024": [5, 7, 40, 41, 799], "up1": 5, "unetup": 5, "up2": 5, "up3": 5, "up4": 5, "outc": 5, "unetoutconv": 5, "x1": [5, 17, 26, 27, 45, 49, 51, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 87, 97, 98, 102, 148, 158, 174, 181, 201, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 266, 267, 268, 271, 273, 277, 284, 289, 307, 328, 333, 339, 340, 341, 343, 345, 350, 354, 362, 365, 369, 371, 380, 436, 467, 510, 522, 525, 617, 618, 619, 621, 624, 631, 633, 654, 661, 664, 669, 673, 676, 677, 680, 735, 742, 760, 785, 799, 808, 814, 816, 818, 821, 825, 826, 849, 850], "x2": [5, 17, 26, 27, 49, 51, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 97, 98, 102, 148, 174, 181, 201, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 266, 267, 268, 271, 273, 277, 284, 289, 328, 333, 339, 340, 341, 343, 345, 350, 354, 365, 369, 371, 380, 424, 436, 467, 510, 522, 525, 617, 618, 619, 621, 624, 631, 654, 661, 664, 669, 673, 676, 677, 680, 735, 760, 785, 808, 814, 816, 818, 821, 825, 826], "x3": [5, 49, 53, 148, 522, 617, 621], "x4": 5, "x5": 5, "in_channel": 5, "out_channel": 5, "mid_channel": 5, "double_conv": 5, "with_bia": [5, 779, 799, 838, 849], "batchnorm2d": [5, 7, 782], "downscal": [5, 53, 76, 528, 529, 550, 621], "maxpool": [5, 7], "doubl": 5, "conv": [5, 623, 779, 832], "maxpool_conv": 5, "upscal": 5, "scale_factor": [5, 52, 75, 368, 403, 832], "align_corn": [5, 52, 75, 368, 403, 832], "conv2dtranspos": [5, 779], "valid": [5, 40, 42, 52, 56, 66, 75, 79, 89, 92, 93, 152, 368, 369, 386, 387, 388, 404, 405, 406, 407, 409, 410, 414, 433, 441, 553, 617, 621, 623, 626, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 689, 697, 754, 755, 763, 764, 779, 792, 805, 810, 814, 816, 820, 824, 827, 829, 848, 856], "bhwc": 5, "diff_h": 5, "diff_w": 5, "pad_width": [5, 52, 59, 75, 82, 371, 473, 626, 688, 701], "constant_pad": [5, 59, 82, 626], "concat": [5, 38, 43, 53, 59, 69, 82, 208, 537, 618, 621, 626, 701, 827, 832, 834, 848], "openmim": 6, "mim": 6, "0rc8": 6, "torch": [6, 8, 9, 10, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 38, 40, 43, 44, 45, 48, 53, 57, 67, 76, 80, 124, 162, 189, 190, 204, 206, 211, 278, 329, 330, 365, 526, 550, 582, 616, 617, 618, 619, 621, 624, 627, 674, 703, 704, 760, 771, 776, 788, 799, 802, 805, 806, 808, 809, 810, 811, 813, 814, 815, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 836, 837, 839, 840, 842, 848, 849, 850, 861], "request": [6, 7, 8, 21, 22, 23, 24, 26, 27, 40, 43, 52, 199, 375, 500, 618, 799, 800, 804, 816, 820, 830, 832, 846, 849], "get_model": 6, "list_model": 6, "mmengin": 6, "configdict": 6, "saniti": [6, 8, 9, 26, 826], "checkpoint": [6, 7, 43, 840], "correct": [6, 11, 13, 22, 32, 38, 40, 42, 65, 88, 181, 369, 437, 617, 626, 634, 686, 751, 753, 760, 763, 799, 802, 804, 806, 807, 812, 813, 814, 815, 818, 819, 821, 822, 825, 827, 829, 849], "against": [6, 49, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 148, 267, 286, 328, 331, 334, 344, 365, 380, 516, 517, 518, 519, 520, 557, 617, 619, 621, 624, 631, 664, 665, 667, 670, 731, 829, 834, 840, 844, 855], "zoo": 6, "checkpoint_nam": [6, 8, 26], "convnext": 6, "tiny_32xb128": 6, "noema_in1k": 6, "openmmlab": 6, "dure": [6, 8, 19, 21, 26, 29, 31, 32, 50, 54, 65, 69, 73, 77, 88, 209, 368, 391, 392, 393, 568, 588, 602, 603, 608, 618, 621, 622, 623, 624, 627, 634, 646, 664, 702, 703, 704, 751, 753, 771, 782, 783, 805, 812, 814, 815, 818, 822, 823, 825, 826, 827, 828, 829, 832, 840, 848, 855, 856, 861], "appropri": [6, 17, 21, 22, 24, 26, 27, 53, 62, 67, 85, 90, 218, 235, 242, 268, 328, 344, 365, 619, 631, 731, 799, 804, 805, 806, 818, 823, 829], "get_scal": 6, "cfg": [6, 820], "kei": [6, 19, 20, 26, 27, 42, 44, 47, 52, 56, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 378, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 457, 458, 479, 481, 483, 489, 491, 492, 493, 495, 497, 503, 510, 511, 512, 513, 522, 523, 525, 526, 528, 529, 530, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 621, 623, 627, 628, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 708, 714, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 763, 764, 770, 776, 779, 783, 799, 811, 812, 813, 822, 825, 826, 827, 829, 837, 849, 855, 858, 862], "input_shap": [6, 13, 24, 26, 27, 799], "block": [6, 26, 27, 30, 31, 32, 33, 369, 428, 799, 806, 812, 814, 818, 822, 829, 833, 835, 839, 840, 842, 849, 860, 862], "url": [6, 8, 23, 26, 27, 40, 43, 799, 849], "cocodataset": [6, 8, 23, 26, 27, 43, 799, 849], "org": [6, 7, 8, 23, 26, 27, 40, 42, 43, 45, 51, 52, 74, 75, 77, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 602, 603, 616, 617, 619, 622, 624, 626, 634, 672, 673, 701, 751, 799, 817, 849], "val2017": [6, 8, 26, 43], "000000039769": [6, 8, 26, 43], "stream": [6, 8, 23, 26, 27, 40, 43, 50, 73, 209, 618, 799, 849, 859], "_config": 6, "train_pipelin": 6, "tensor_imag": 6, "And": [6, 8, 9, 11, 13, 18, 21, 26, 27, 28, 41, 72, 358, 359, 367, 799, 808, 811, 820, 822, 829, 848], "final": [6, 8, 11, 13, 15, 23, 26, 27, 32, 38, 39, 48, 52, 53, 75, 76, 92, 120, 132, 133, 316, 362, 368, 412, 537, 615, 616, 621, 623, 648, 649, 793, 804, 806, 808, 809, 811, 813, 814, 816, 817, 822, 824, 825, 826, 828, 832, 833, 837, 848, 849, 851, 861], "transpiled_graph": [6, 8, 26], "what": [6, 8, 15, 20, 26, 27, 30, 31, 34, 39, 40, 368, 401, 412, 765, 793, 799, 804, 806, 807, 812, 813, 816, 817, 820, 821, 823, 824, 825, 826, 827, 829, 833, 834, 836, 837, 838, 839, 840, 845, 846, 851, 856, 857, 860], "improv": [6, 8, 9, 26, 29, 806, 814, 821, 822, 832, 834, 842, 846, 848, 853, 855, 857, 858], "For": [6, 7, 8, 9, 17, 19, 26, 27, 29, 32, 34, 48, 52, 57, 63, 75, 80, 121, 134, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 270, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 324, 325, 326, 329, 330, 332, 352, 362, 365, 369, 371, 432, 434, 453, 473, 476, 616, 619, 624, 626, 632, 634, 672, 674, 678, 686, 697, 736, 737, 738, 739, 747, 749, 750, 752, 764, 776, 804, 805, 806, 807, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 823, 825, 826, 827, 828, 829, 830, 832, 834, 836, 837, 838, 839, 840, 841, 844, 845, 846, 848, 852, 853, 856, 861, 862], "compil": [6, 7, 8, 9, 21, 22, 24, 26, 27, 30, 43, 45, 286, 619, 771, 799, 805, 826, 830, 834, 840, 842, 849, 851, 854, 855, 856, 859, 862], "origin": [6, 8, 9, 24, 26, 27, 28, 29, 30, 32, 39, 40, 41, 45, 52, 57, 59, 65, 69, 75, 80, 82, 88, 92, 95, 97, 98, 223, 248, 275, 313, 362, 368, 369, 371, 380, 411, 435, 466, 472, 474, 477, 511, 512, 516, 517, 518, 519, 520, 619, 624, 626, 634, 665, 693, 694, 745, 760, 765, 788, 789, 799, 801, 804, 805, 806, 810, 811, 813, 814, 819, 823, 825, 826, 827, 834, 846, 848, 849, 855, 856], "_f": [6, 8, 26], "comp_model": [6, 8, 26], "equival": [6, 8, 26, 57, 80, 92, 93, 121, 229, 242, 263, 264, 277, 278, 371, 457, 481, 486, 616, 619, 624, 667, 670, 673, 681, 788, 825, 826, 832, 837, 839, 841, 849], "just": [6, 8, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 38, 40, 42, 52, 57, 65, 80, 92, 95, 142, 322, 362, 369, 434, 616, 624, 634, 667, 746, 771, 779, 799, 802, 805, 806, 808, 810, 813, 814, 815, 816, 817, 819, 822, 823, 825, 826, 827, 829, 834, 836, 837, 840, 845, 846, 849, 855, 856, 861], "np_imag": [6, 23, 26, 27], "jax_imag": 6, "hk": [6, 8, 26, 40, 44, 799, 839, 849], "rng_kei": [6, 8, 26, 799, 849], "random": [6, 8, 11, 13, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 31, 32, 33, 40, 42, 43, 52, 56, 69, 75, 79, 317, 318, 319, 320, 321, 362, 369, 370, 426, 435, 441, 446, 496, 497, 498, 499, 500, 623, 646, 725, 726, 727, 728, 729, 730, 763, 765, 778, 792, 793, 799, 804, 815, 827, 829, 830, 839, 849, 850, 855], "prngkei": [6, 8, 19, 20, 26, 27, 40, 799, 839, 849], "42": [6, 8, 9, 19, 20, 24, 26, 27, 38, 40, 41, 46, 61, 68, 77, 84, 113, 229, 368, 389, 399, 602, 606, 613, 619, 622, 624, 629, 630, 634, 665, 669, 724, 725, 726, 727, 728, 729, 744, 746, 799, 834, 839, 849], "jax_mlp_forward": 6, "param": [6, 8, 9, 26, 40, 41, 42, 44, 69, 75, 76, 98, 523, 540, 541, 621, 785, 799, 839, 849], "init": [6, 8, 26, 40, 42, 52, 75, 369, 426, 435, 441, 799, 808, 839, 849], "rng": [6, 8, 26, 40, 799, 839, 849], "appli": [6, 8, 21, 22, 23, 24, 26, 27, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 365, 366, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 403, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 613, 617, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 645, 646, 647, 648, 649, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 669, 670, 671, 672, 674, 678, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 711, 714, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 765, 766, 775, 779, 782, 799, 804, 805, 806, 809, 812, 814, 815, 816, 817, 818, 820, 821, 822, 823, 825, 826, 829, 830, 832, 836, 837, 838, 839, 840, 848, 849, 856], "both": [6, 7, 8, 9, 11, 13, 21, 23, 26, 27, 31, 32, 39, 41, 48, 51, 52, 53, 56, 57, 71, 74, 75, 76, 79, 80, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 173, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 333, 335, 339, 344, 362, 365, 368, 369, 371, 375, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 467, 473, 481, 484, 496, 510, 513, 540, 544, 546, 548, 557, 587, 611, 612, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 779, 799, 802, 804, 806, 810, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 825, 826, 829, 832, 834, 836, 837, 838, 839, 840, 848, 849, 855, 858, 860, 861, 862], "optim": [6, 8, 9, 17, 21, 22, 24, 26, 27, 40, 42, 43, 45, 52, 54, 75, 77, 306, 362, 370, 445, 446, 524, 610, 621, 622, 627, 702, 703, 704, 778, 793, 799, 814, 825, 832, 835, 837, 839, 846, 849, 853, 854, 855, 856, 857, 858, 859, 862], "each": [6, 8, 9, 19, 20, 21, 26, 27, 29, 30, 31, 33, 40, 46, 48, 49, 51, 52, 53, 54, 56, 57, 59, 62, 63, 65, 69, 72, 74, 75, 76, 77, 79, 80, 82, 85, 86, 88, 92, 93, 95, 97, 98, 106, 107, 109, 110, 111, 113, 117, 134, 148, 160, 163, 208, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 290, 292, 297, 299, 300, 301, 303, 304, 305, 310, 321, 324, 325, 326, 332, 339, 343, 347, 352, 355, 360, 362, 365, 368, 369, 371, 374, 375, 378, 380, 386, 387, 388, 391, 392, 393, 396, 404, 405, 406, 407, 410, 412, 413, 414, 421, 422, 427, 434, 435, 439, 441, 451, 452, 453, 457, 458, 459, 464, 465, 467, 468, 470, 472, 473, 476, 478, 486, 487, 494, 496, 503, 508, 509, 510, 511, 512, 513, 522, 525, 533, 540, 541, 557, 581, 601, 603, 604, 606, 608, 609, 610, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 628, 630, 631, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 649, 653, 654, 655, 658, 659, 660, 664, 666, 667, 668, 670, 672, 673, 674, 679, 688, 692, 694, 695, 697, 699, 701, 711, 718, 725, 734, 736, 737, 739, 745, 746, 753, 763, 765, 779, 782, 783, 784, 793, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 839, 840, 844, 845, 846, 848, 849, 851, 852, 856, 858, 861], "timeit": [6, 8, 9, 19, 26, 27, 43, 45], "06": [6, 9, 21, 42, 49, 61, 74, 77, 96, 105, 160, 217, 233, 368, 389, 399, 608, 613, 617, 622, 728, 758, 760, 829, 837], "m": [6, 7, 8, 9, 26, 39, 41, 43, 45, 48, 52, 57, 61, 74, 75, 80, 84, 97, 134, 140, 141, 142, 262, 322, 323, 362, 368, 369, 370, 371, 375, 390, 421, 426, 427, 429, 442, 453, 464, 465, 479, 496, 497, 498, 499, 500, 616, 624, 628, 630, 653, 655, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 713, 726, 727, 728, 799, 805, 806, 807, 813, 834], "per": [6, 8, 9, 19, 40, 42, 52, 56, 75, 79, 313, 362, 368, 369, 371, 386, 387, 388, 404, 405, 406, 407, 434, 480, 623, 637, 639, 640, 641, 642, 645, 649, 779, 806, 813, 823, 826, 837], "loop": [6, 8, 9, 19, 34, 67, 75, 90, 117, 120, 368, 413, 615, 627, 702, 703, 704, 799, 810, 840, 848], "100": [6, 7, 8, 9, 38, 40, 42, 48, 51, 52, 71, 74, 75, 76, 79, 96, 133, 142, 229, 269, 282, 322, 344, 353, 362, 365, 368, 369, 371, 391, 392, 435, 441, 478, 541, 549, 565, 616, 619, 621, 624, 628, 662, 711, 799, 813, 814, 829, 837, 838, 839, 840, 845, 846, 848], "block_until_readi": 6, "08": [6, 52, 65, 75, 84, 221, 328, 344, 365, 368, 370, 389, 399, 446, 619, 727, 728, 753, 758, 763, 820], "\u00b5": [6, 8, 9, 19], "made": [6, 8, 26, 52, 59, 75, 369, 371, 428, 451, 452, 453, 697, 804, 806, 808, 809, 812, 813, 818, 820, 822, 824, 825, 826, 830, 832, 834, 836, 845, 855], "significantli": [6, 8, 26, 52, 57, 75, 80, 369, 439, 624, 674, 813, 844, 853], "line": [6, 8, 9, 15, 16, 19, 20, 23, 26, 27, 29, 30, 41, 42, 285, 619, 799, 805, 808, 809, 813, 815, 816, 818, 826, 829, 832, 835, 836, 837, 838, 846, 849, 858], "even": [6, 23, 26, 27, 52, 75, 92, 235, 268, 273, 278, 371, 380, 473, 510, 619, 805, 806, 808, 810, 813, 814, 815, 817, 821, 822, 825, 826, 827, 832, 836, 837, 838, 839, 840, 845, 846, 861], "better": [6, 9, 29, 38, 44, 45, 804, 807, 826, 827, 830, 832, 833, 836, 837, 838, 846, 858], "v100": 6, "3x": 6, "increas": [6, 8, 9, 19, 26, 29, 52, 57, 59, 75, 80, 82, 95, 371, 380, 473, 513, 624, 626, 679, 688, 701, 765, 814, 818, 826, 830, 832, 844, 848, 855], "execut": [6, 8, 17, 18, 19, 21, 22, 23, 24, 26, 27, 29, 31, 34, 41, 43, 45, 118, 120, 588, 615, 618, 621, 805, 806, 811, 812, 813, 814, 815, 816, 818, 822, 823, 825, 829, 832, 834, 836, 839, 840, 842, 848, 851, 855, 856, 857, 858, 859, 861], "train2017": [6, 8, 23, 26, 27, 799, 849], "000000283921": [6, 8, 26], "out_torch": [6, 8, 26], "et": [6, 623, 624, 649, 674], "took": [6, 74, 275], "out_jax": [6, 8, 26], "1e": [6, 7, 8, 11, 13, 26, 38, 42, 49, 52, 54, 57, 58, 60, 72, 75, 77, 80, 81, 83, 96, 160, 328, 344, 365, 370, 374, 446, 489, 490, 491, 570, 571, 579, 592, 593, 602, 603, 608, 610, 617, 621, 622, 624, 625, 629, 674, 683, 684, 685, 724, 758, 760, 780, 782, 783, 799, 802, 812, 819, 822, 825, 827, 838, 839], "66m": 6, "53m": 6, "That": [6, 8, 11, 13, 18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 40, 277, 370, 445, 619, 792, 805, 806, 809, 829, 836, 837, 838, 856], "pretti": [6, 8, 26, 27, 40, 802, 819, 837, 861], "much": [6, 8, 9, 17, 18, 24, 26, 27, 28, 29, 40, 95, 328, 344, 365, 778, 804, 805, 806, 809, 812, 814, 822, 825, 826, 827, 830, 831, 832, 834, 836, 837, 845, 853, 855, 861, 862], "achiev": [6, 8, 9, 26, 799, 813, 814, 822, 823, 829, 832, 837, 839, 842], "solid": [6, 8, 26], "associ": [7, 52, 57, 75, 80, 218, 268, 371, 380, 450, 513, 619, 624, 667, 670, 682, 760, 806, 814, 822, 823, 826, 827, 829, 840], "python": [7, 11, 17, 29, 34, 38, 40, 41, 42, 44, 45, 52, 61, 75, 84, 121, 202, 214, 242, 277, 368, 375, 413, 496, 497, 498, 499, 500, 601, 616, 618, 619, 621, 630, 725, 726, 727, 728, 730, 788, 792, 793, 803, 805, 806, 808, 811, 812, 813, 818, 819, 826, 828, 829, 834, 836, 837, 840, 842, 843, 844, 845, 848, 852, 855, 856, 857, 861, 862], "2023": [7, 8, 21, 22, 23, 24, 40], "02": [7, 8, 40, 48, 53, 54, 60, 61, 74, 77, 84, 133, 220, 221, 260, 368, 389, 399, 400, 579, 580, 602, 603, 608, 616, 619, 621, 622, 625, 629, 630, 683, 724, 727, 728, 827], "52": [7, 9, 38, 51, 74, 76, 77, 84, 223, 233, 235, 380, 511, 533, 534, 549, 602, 619, 621, 622, 623, 624, 634, 647, 669, 728, 746, 792], "00": [7, 9, 40, 42, 45, 52, 53, 57, 75, 76, 80, 240, 306, 337, 362, 368, 389, 395, 399, 400, 537, 580, 619, 621, 624, 625, 660, 671, 683, 763, 820, 829], "resolv": [7, 40, 42, 52, 65, 242, 380, 511, 512, 619, 626, 634, 689, 744, 745, 750, 752, 806, 811, 814, 820, 834], "185": [7, 40, 68], "199": [7, 40, 221, 619], "110": [7, 40], "133": [7, 40, 56, 529, 621, 647], "111": [7, 40, 628, 723], "108": [7, 9, 21, 22, 23, 24, 40, 623, 634, 647, 746], "connect": [7, 40, 779, 799, 801, 805, 811, 828, 838, 839, 845, 853], "443": [7, 40, 280, 619], "sent": [7, 40], "await": [7, 40], "respons": [7, 40, 374, 494, 806, 813, 814], "200": [7, 9, 40, 76, 79, 229, 368, 391, 392, 541, 565, 619, 621, 792, 837], "ok": [7, 40, 805], "length": [7, 40, 41, 48, 52, 58, 59, 69, 75, 81, 82, 92, 93, 98, 121, 129, 134, 308, 311, 312, 327, 335, 362, 365, 368, 369, 371, 375, 378, 389, 390, 395, 396, 399, 400, 401, 411, 412, 413, 415, 427, 434, 473, 482, 498, 503, 601, 616, 621, 623, 624, 625, 626, 632, 649, 674, 675, 683, 693, 736, 763, 779, 829, 837], "10472": 7, "10k": 7, "plain": [7, 40], "tx": 7, "23k": 7, "kb": [7, 40, 42, 45], "57": [7, 9, 38, 40, 51, 52, 74, 75, 193, 216, 217, 220, 221, 223, 233, 234, 274, 290, 291, 360, 618, 619], "mb": [7, 40, 42, 45, 813], "01": [7, 21, 22, 24, 42, 48, 52, 53, 54, 57, 75, 76, 77, 80, 84, 133, 260, 278, 279, 306, 312, 337, 344, 362, 368, 389, 399, 400, 537, 579, 580, 602, 603, 608, 616, 619, 621, 622, 624, 627, 630, 660, 671, 703, 704, 727, 728, 763, 810, 839], "109": [7, 40, 57, 624, 661], "634575": 7, "620k": 7, "jpeg": [7, 41, 42], "619": 7, "70k": 7, "113": 7, "resnet34_weight": 7, "torch_resnet_34": 7, "conv1": 7, "kernel_s": [7, 24, 26, 27, 42, 52, 75, 368, 386, 387, 388, 407, 414, 779, 785], "stride": [7, 52, 56, 75, 76, 79, 97, 368, 371, 386, 387, 388, 404, 405, 406, 407, 409, 410, 414, 449, 621, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779, 825, 830, 855], "bia": [7, 52, 56, 75, 79, 83, 374, 380, 494, 510, 560, 621, 623, 629, 636, 637, 638, 639, 640, 641, 642, 643, 644, 647, 648, 649, 724, 779, 822, 829, 834, 838], "bn1": 7, "ep": [7, 52, 57, 60, 75, 80, 83, 160, 294, 360, 369, 370, 374, 422, 446, 489, 490, 491, 617, 624, 629, 667, 670, 724, 775, 782], "05": [7, 9, 42, 48, 51, 52, 54, 60, 74, 75, 77, 83, 133, 260, 312, 328, 337, 344, 362, 365, 374, 489, 490, 491, 548, 570, 592, 602, 603, 608, 616, 619, 621, 622, 624, 629, 665, 724, 758, 763, 778, 782, 827, 829], "momentum": [7, 40, 52, 75, 374, 489, 491, 782, 845], "affin": [7, 782], "track_running_stat": [7, 782], "dilat": [7, 44, 52, 56, 75, 79, 368, 371, 404, 405, 406, 409, 410, 414, 473, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779], "ceil_mod": [7, 52, 75, 368, 386, 387, 388, 404, 405, 406, 409, 779], "layer1": 7, "basicblock": 7, "conv2": 7, "bn2": 7, "layer2": 7, "downsampl": [7, 52, 75, 403], "layer3": 7, "layer4": 7, "output_s": [7, 52, 75, 368, 382, 383, 384, 623, 651, 779, 799, 849], "fc": [7, 13, 40, 799, 838, 849], "in_featur": [7, 56, 79, 623, 647, 829], "out_featur": [7, 56, 79, 623, 647, 829], "resnet_34": 7, "ivy_resnet_34": 7, "34": [7, 9, 38, 40, 74, 75, 76, 84, 163, 233, 260, 281, 368, 380, 410, 517, 533, 534, 617, 619, 621, 623, 624, 630, 647, 666, 727, 728, 815], "333f7ec4": 7, "pth": 7, "root": [7, 8, 21, 22, 23, 24, 40, 41, 42, 45, 51, 74, 282, 619, 801, 804, 805, 806, 811, 819, 826, 837], "cach": [7, 8, 21, 22, 23, 24, 40, 42, 45, 190, 527, 618, 621, 788, 820, 822, 825, 829], "83": [7, 9, 38, 57, 79, 84, 282, 368, 380, 389, 399, 410, 511, 529, 619, 621, 623, 624, 647, 661, 727], "3m": 7, "56": [7, 9, 38, 40, 51, 52, 56, 61, 74, 75, 79, 133, 268, 282, 285, 288, 368, 389, 399, 602, 616, 619, 622, 623, 624, 628, 634, 638, 640, 642, 644, 647, 669, 705, 727, 746, 816], "4mb": 7, "preserv": [7, 8, 21, 22, 23, 24, 52, 53, 54, 69, 75, 76, 77, 98, 368, 369, 371, 380, 403, 435, 451, 452, 453, 464, 465, 484, 517, 550, 611, 621, 622, 626, 690, 763, 828, 829, 839, 840, 849], "multipl": [7, 8, 17, 21, 22, 23, 24, 26, 51, 52, 57, 60, 65, 66, 69, 74, 75, 76, 77, 80, 82, 83, 88, 89, 129, 229, 253, 260, 266, 267, 268, 270, 329, 330, 365, 368, 369, 371, 374, 378, 389, 396, 399, 401, 433, 459, 468, 487, 494, 503, 522, 529, 560, 602, 603, 606, 608, 609, 610, 611, 616, 619, 621, 622, 623, 624, 626, 629, 631, 634, 635, 638, 639, 640, 641, 653, 662, 664, 665, 678, 686, 689, 694, 695, 724, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 793, 799, 804, 806, 809, 810, 812, 816, 818, 820, 822, 825, 826, 827, 829, 832, 834, 840, 846, 848, 853, 854, 855, 862], "machin": [7, 8, 21, 22, 23, 24, 29, 30, 38, 44, 52, 57, 75, 80, 160, 163, 369, 422, 617, 624, 667, 670, 799, 805, 808, 822, 842, 845, 853, 855, 857, 858, 859, 860, 861], "rel": [7, 8, 21, 22, 23, 24, 52, 54, 57, 59, 64, 71, 75, 77, 80, 82, 87, 97, 131, 328, 344, 365, 370, 380, 445, 446, 510, 603, 606, 608, 609, 610, 622, 624, 626, 633, 657, 667, 670, 678, 690, 694, 740, 743, 758, 760, 806, 813, 827, 832, 855, 857], "project": [7, 8, 15, 20, 21, 22, 23, 24, 26, 27, 30, 93, 623, 649, 779, 799, 801, 804, 805, 806, 809, 810, 811, 829, 838, 840, 844, 845, 846, 849, 851, 853, 855, 858, 862], "consist": [7, 8, 9, 21, 22, 23, 24, 26, 27, 65, 69, 235, 242, 268, 368, 369, 411, 421, 619, 624, 634, 658, 659, 746, 780, 781, 808, 809, 813, 814, 820, 825, 834, 844, 856], "ad": [7, 8, 9, 21, 22, 23, 24, 52, 59, 75, 82, 90, 235, 268, 328, 344, 365, 374, 489, 490, 491, 579, 580, 619, 621, 623, 624, 626, 649, 659, 660, 689, 779, 784, 799, 802, 803, 804, 805, 806, 808, 809, 811, 812, 813, 814, 816, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 838, 840, 845, 848, 854, 855], "home": [7, 8, 21, 22, 23, 24, 813], "workspac": [7, 8, 21, 22, 23, 24, 805, 819], "95": [7, 9, 38, 52, 54, 57, 61, 68, 77, 79, 84, 105, 353, 365, 410, 602, 606, 610, 613, 622, 624, 630, 661, 727, 728], "builtin": [7, 805, 836, 838], "callabl": [7, 44, 52, 53, 67, 75, 76, 79, 90, 117, 118, 120, 161, 162, 194, 195, 208, 356, 358, 359, 366, 367, 368, 371, 410, 413, 415, 450, 473, 523, 527, 532, 534, 538, 539, 560, 588, 601, 605, 607, 612, 615, 617, 618, 621, 622, 627, 628, 702, 703, 704, 711, 712, 713, 715, 716, 717, 718, 758, 761, 771, 783, 794, 812, 818, 824, 826, 834, 847, 848, 849, 850], "track": [7, 17, 26, 27, 39, 40, 545, 621, 805, 806, 808, 824, 825, 848, 855], "properli": [7, 805, 807, 818, 820, 826, 829], "might": [7, 32, 53, 93, 174, 532, 617, 621, 802, 804, 805, 806, 813, 814, 816, 819, 820, 823, 826, 829, 830, 832, 834, 836, 837, 842], "_trace_graph": 7, "comparison": [7, 52, 75, 236, 271, 331, 365, 370, 445, 446, 619, 624, 675, 758, 818], "shown": [7, 24, 26, 67, 69, 90, 252, 275, 332, 365, 619, 804, 805, 806, 808, 811, 813, 814, 816, 818, 820, 821, 826, 827, 829, 830, 831, 834, 836, 840], "8507": 7, "1351": 7, "0069": 7, "85072625": 7, "13506091": 7, "00688289": 7, "resnet50_weight": 7, "torch_resnet_50": 7, "imagenet1k_v2": 7, "11ad3fa6": 7, "97": [7, 9, 38, 52, 54, 74, 77, 84, 221, 353, 365, 606, 619, 622, 727], "8m": 7, "8mb": 7, "bottleneck": [7, 844], "conv3": 7, "bn3": 7, "2048": [7, 580, 621], "resnet_50": 7, "ivy_resnet_50": 7, "3429": 7, "0408": 7, "0121": 7, "34288204": 7, "04077014": 7, "01212029": 7, "depend": [8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 31, 48, 49, 52, 53, 57, 63, 64, 72, 75, 80, 87, 88, 118, 124, 147, 215, 216, 217, 220, 221, 222, 223, 232, 233, 235, 238, 240, 256, 257, 258, 259, 268, 270, 273, 280, 281, 285, 286, 352, 365, 368, 369, 413, 421, 437, 582, 615, 616, 617, 619, 621, 624, 631, 633, 658, 659, 671, 672, 673, 674, 735, 740, 743, 753, 799, 801, 802, 804, 805, 806, 811, 814, 815, 817, 819, 823, 825, 826, 827, 828, 829, 832, 834, 840, 841, 845, 848, 853, 855, 856], "yet": [8, 9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 42, 361, 363, 364, 372, 373, 377, 804, 805, 819, 840, 841, 848, 849, 850], "doc": [8, 9, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 27, 41, 42, 75, 142, 322, 329, 330, 362, 365, 512, 616, 799, 800, 803, 804, 807, 816, 817, 820, 821, 829, 834, 837, 838, 848, 849, 850], "user": [8, 15, 21, 22, 23, 24, 26, 41, 42, 44, 269, 286, 371, 473, 568, 619, 621, 779, 780, 781, 792, 799, 805, 806, 807, 809, 810, 812, 813, 814, 815, 818, 823, 824, 825, 826, 829, 831, 832, 833, 834, 840, 841, 844, 845, 853, 855, 861, 862], "broken": [8, 21, 22, 23, 24, 851, 855], "permiss": [8, 21, 22, 23, 24, 805, 813], "conflict": [8, 21, 22, 23, 24, 32, 805, 806, 813, 826, 837], "behaviour": [8, 21, 22, 23, 24, 107, 110, 269, 613, 619, 803, 806, 807, 808, 809, 812, 814, 815, 817, 818, 821, 822, 823, 825, 826, 829, 830, 836], "system": [8, 21, 22, 23, 24, 42, 369, 436, 624, 673, 763, 799, 805, 806, 810, 813, 814, 840, 849, 853, 855, 858, 860, 862], "manag": [8, 17, 21, 22, 23, 24, 26, 568, 591, 621, 799, 800, 810, 814, 815, 825, 828, 840, 846, 857, 859], "recommend": [8, 21, 22, 23, 24, 263, 264, 277, 370, 443, 619, 634, 748, 751, 801, 805, 810, 811, 820, 823, 824, 848], "virtual": [8, 21, 22, 23, 24, 806, 826, 845, 858, 859], "instead": [8, 11, 13, 17, 21, 22, 23, 24, 26, 33, 40, 45, 51, 52, 57, 74, 75, 80, 93, 189, 277, 310, 362, 368, 380, 404, 405, 406, 510, 513, 618, 619, 624, 667, 763, 804, 805, 806, 808, 811, 813, 814, 816, 817, 818, 821, 822, 823, 825, 826, 827, 829, 832, 834, 836, 837, 840, 848, 849, 850, 853, 855, 861, 862], "pypa": [8, 21, 22, 23, 24], "io": [8, 21, 22, 23, 24, 41, 44, 805, 813], "venv": [8, 21, 22, 23, 24], "autofeatureextractor": [8, 26], "extractor": [8, 11, 13, 26, 42, 799], "hug": [8, 26, 848], "face": [8, 26, 800, 805, 808, 819, 820, 824, 832, 834, 848, 855, 861], "arch_nam": [8, 26], "microsoft": [8, 26, 845, 848, 849, 855, 860, 862], "50": [8, 9, 26, 27, 38, 42, 52, 65, 74, 75, 76, 234, 274, 350, 365, 368, 369, 371, 396, 420, 428, 478, 535, 541, 548, 549, 565, 579, 619, 621, 624, 628, 631, 634, 662, 669, 680, 706, 708, 734, 746, 763, 766, 824, 836, 848, 849], "feature_extractor": [8, 26], "23": [8, 9, 21, 22, 23, 24, 38, 40, 42, 51, 52, 57, 61, 71, 74, 75, 76, 79, 84, 131, 230, 233, 250, 251, 252, 275, 277, 278, 279, 281, 288, 332, 333, 365, 368, 371, 380, 386, 387, 389, 399, 404, 405, 406, 410, 414, 456, 511, 517, 616, 619, 623, 624, 628, 631, 642, 644, 657, 661, 665, 673, 675, 676, 706, 713, 717, 726, 727, 728, 735, 799, 813, 829, 834], "980130": 8, "e": [8, 26, 43, 44, 48, 52, 57, 61, 63, 64, 65, 67, 74, 75, 80, 84, 87, 88, 90, 92, 93, 97, 124, 133, 134, 137, 138, 142, 146, 175, 188, 215, 216, 217, 221, 223, 224, 227, 229, 231, 235, 236, 238, 241, 242, 248, 249, 256, 257, 258, 259, 266, 267, 268, 269, 271, 275, 277, 278, 281, 282, 286, 295, 322, 329, 330, 362, 365, 368, 369, 370, 371, 375, 380, 381, 386, 387, 390, 404, 405, 406, 407, 411, 424, 427, 433, 446, 481, 496, 497, 498, 499, 500, 511, 512, 521, 614, 616, 617, 618, 619, 623, 624, 626, 628, 630, 632, 633, 634, 649, 654, 659, 660, 664, 665, 667, 670, 673, 674, 675, 678, 681, 689, 697, 708, 712, 713, 714, 717, 722, 723, 726, 727, 728, 736, 737, 738, 739, 740, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 779, 792, 793, 799, 800, 802, 804, 805, 806, 807, 808, 810, 812, 814, 818, 819, 824, 826, 829, 834, 837, 840, 841, 842, 845, 846, 848, 851], "tensorflow": [8, 10, 11, 15, 17, 18, 21, 22, 23, 24, 26, 27, 28, 31, 32, 33, 38, 44, 51, 52, 53, 74, 75, 142, 189, 219, 322, 362, 369, 422, 582, 616, 618, 621, 758, 771, 788, 799, 802, 803, 804, 805, 806, 808, 813, 814, 815, 819, 821, 825, 826, 827, 829, 830, 832, 834, 839, 840, 842, 845, 846, 849, 850, 853, 856, 858, 859, 861, 862], "xla": [8, 826, 840, 842, 855], "stream_executor": 8, "cuda_dnn": 8, "cc": [8, 21, 22, 24, 41, 819], "9342": 8, "unabl": [8, 806, 832], "regist": [8, 781, 806, 841, 848], "cudnn": 8, "factori": [8, 52, 370, 445, 446, 793], "attempt": [8, 21, 22, 23, 24, 40, 42, 45, 805, 831, 840], "plugin": [8, 805], "been": [8, 11, 13, 21, 23, 26, 27, 52, 53, 61, 75, 76, 84, 191, 278, 371, 480, 533, 534, 535, 618, 619, 621, 630, 725, 792, 793, 804, 806, 808, 810, 812, 813, 814, 815, 817, 818, 821, 822, 825, 829, 834, 836, 840, 841, 848, 855, 862], "980177": 8, "cuda_fft": 8, "609": 8, "cufft": 8, "980207": 8, "cuda_bla": 8, "1518": 8, "cubla": 8, "351203": 8, "tf2tensorrt": 8, "py_util": 8, "38": [8, 9, 22, 38, 40, 42, 45, 49, 52, 74, 75, 84, 160, 285, 350, 365, 368, 380, 387, 406, 409, 410, 511, 617, 619, 624, 666, 763, 816], "trt": 8, "could": [8, 26, 27, 32, 63, 632, 736, 737, 738, 739, 804, 805, 806, 808, 813, 814, 816, 823, 825, 826, 827, 829, 834, 836, 837, 838, 845, 846, 855, 860, 861], "find": [8, 15, 41, 42, 45, 57, 63, 69, 80, 624, 628, 632, 667, 707, 736, 737, 738, 739, 792, 793, 799, 800, 801, 803, 804, 805, 806, 808, 811, 813, 819, 824, 829, 832, 834, 837, 841, 842, 844, 848], "tensorrt": 8, "doe": [8, 9, 17, 21, 22, 23, 24, 26, 39, 41, 51, 52, 53, 59, 69, 74, 75, 82, 92, 142, 269, 271, 279, 322, 362, 369, 370, 380, 381, 421, 445, 446, 516, 517, 521, 550, 616, 619, 621, 624, 626, 658, 695, 758, 793, 802, 804, 806, 807, 810, 813, 814, 816, 817, 819, 820, 821, 822, 825, 826, 827, 829, 832, 834, 836, 837, 840, 842, 845, 848, 851, 855, 856, 862], "placement": [8, 804], "consid": [8, 9, 21, 22, 23, 24, 31, 32, 52, 57, 63, 75, 80, 113, 142, 263, 264, 322, 328, 333, 344, 362, 365, 369, 380, 422, 426, 435, 510, 613, 616, 619, 624, 632, 656, 667, 736, 737, 738, 739, 765, 778, 809, 813, 814, 822, 824, 830, 832, 835, 836, 837, 844, 845, 848, 852, 856, 860, 862], "except": [8, 21, 22, 23, 24, 41, 42, 45, 52, 53, 59, 61, 66, 69, 75, 76, 80, 84, 89, 149, 329, 330, 335, 353, 365, 371, 375, 380, 457, 481, 497, 516, 517, 532, 550, 567, 582, 588, 617, 621, 624, 626, 630, 631, 635, 670, 687, 689, 697, 726, 727, 728, 734, 754, 755, 758, 761, 765, 799, 806, 807, 808, 809, 813, 814, 815, 817, 819, 821, 825, 826, 830, 831, 832, 836, 840], "390": [8, 21, 22, 23, 24], "current": [8, 17, 21, 22, 23, 24, 26, 27, 40, 41, 47, 52, 53, 69, 75, 98, 117, 161, 162, 165, 182, 183, 184, 185, 186, 187, 193, 194, 195, 196, 201, 203, 369, 371, 420, 421, 473, 481, 538, 539, 542, 545, 547, 551, 562, 563, 582, 615, 617, 618, 621, 624, 628, 658, 705, 715, 716, 760, 764, 780, 781, 788, 789, 793, 796, 799, 801, 804, 805, 806, 808, 810, 812, 813, 814, 815, 818, 819, 820, 822, 825, 826, 827, 828, 829, 832, 834, 839, 840, 846, 848, 855, 861, 862], "quietli": [8, 21, 22, 23, 24], "control": [8, 21, 22, 23, 24, 34, 52, 75, 142, 291, 322, 360, 362, 368, 371, 391, 392, 393, 456, 482, 568, 616, 621, 624, 656, 812, 814, 815, 824, 825, 826, 827, 832, 836, 837, 842, 848, 855, 861], "set_inplace_mod": [8, 21, 22, 23, 24, 591, 621], "strict": [8, 21, 22, 23, 24, 568, 591, 621], "rais": [8, 21, 22, 23, 24, 41, 42, 48, 52, 53, 61, 63, 66, 69, 71, 75, 76, 82, 84, 86, 89, 123, 149, 238, 273, 329, 330, 339, 365, 368, 370, 371, 375, 380, 401, 412, 446, 451, 452, 459, 461, 463, 464, 465, 472, 481, 487, 497, 516, 517, 526, 550, 568, 570, 580, 582, 588, 592, 617, 619, 621, 624, 626, 630, 631, 632, 634, 635, 664, 666, 680, 689, 690, 691, 693, 695, 696, 697, 698, 700, 726, 727, 728, 734, 739, 747, 749, 754, 755, 758, 765, 783, 799, 806, 808, 810, 814, 815, 818, 825, 826, 830, 831, 834, 836, 841, 845], "error": [8, 9, 21, 22, 23, 24, 32, 43, 45, 51, 52, 56, 69, 74, 75, 79, 105, 237, 285, 329, 330, 337, 365, 369, 370, 371, 380, 381, 435, 441, 442, 444, 481, 517, 521, 568, 613, 619, 621, 623, 624, 634, 652, 672, 675, 747, 749, 765, 783, 796, 800, 803, 804, 805, 806, 808, 809, 810, 813, 814, 815, 816, 820, 821, 826, 829, 830, 831, 836, 840, 846, 855], "whenev": [8, 21, 22, 23, 24, 779, 806, 810, 813, 814, 818, 825, 828, 829, 831, 837], "inputs_jax": [8, 26], "last_hidden_st": [8, 26], "jax_forward": [8, 26], "jit_appli": 8, "63": [8, 9, 38, 42, 51, 68, 74, 79, 80, 113, 274, 281, 282, 368, 380, 389, 399, 410, 511, 619, 624, 628, 634, 653, 669, 706, 717, 746], "122": [8, 49, 163, 233, 619], "134": [8, 56, 624, 647, 666], "2x": [8, 26], "ipytest": 9, "panda": [9, 40, 42, 845], "matplotlib": [9, 21, 22, 23, 24, 40, 41, 42, 45], "scikit": [9, 369, 437, 845], "learn": [9, 11, 13, 17, 18, 19, 20, 22, 24, 26, 27, 28, 29, 30, 31, 38, 40, 54, 77, 369, 437, 533, 603, 606, 608, 609, 610, 621, 622, 627, 702, 703, 704, 783, 799, 800, 803, 804, 805, 807, 808, 814, 819, 820, 822, 824, 833, 842, 844, 845, 853, 857, 858, 859, 860, 861, 862], "cryptographi": 9, "frontend": [9, 567, 621, 760, 761, 764, 768, 771, 799, 803, 806, 807, 813, 814, 818, 819, 824, 828, 829, 832, 833, 835, 842, 849, 855], "sklearn": 9, "classification_report": 9, "model_select": 9, "train_test_split": 9, "dataset": [9, 26, 69, 799, 837, 848, 849], "load_breast_canc": 9, "pyplot": [9, 40, 41, 42, 45], "plt": [9, 40, 41, 42, 45], "pd": [9, 42], "functool": [9, 40, 818, 826, 836], "autoconfig": 9, "tqdm": [9, 21, 22, 23, 24, 40, 42, 799], "tqdm_notebook": 9, "These": [9, 33, 52, 75, 369, 371, 380, 421, 472, 510, 623, 624, 649, 658, 659, 799, 803, 804, 805, 806, 808, 812, 814, 816, 817, 821, 822, 825, 826, 829, 834, 835, 837, 838, 839, 840, 842, 844, 845, 846, 849, 855, 859, 861, 862], "sole": [9, 38, 821, 830, 854, 855, 856], "verifi": [9, 23, 319, 320, 362, 804, 814, 815, 826, 829, 830], "re": [9, 15, 18, 19, 20, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 43, 45, 52, 53, 62, 75, 85, 95, 208, 313, 362, 369, 371, 440, 474, 475, 533, 618, 621, 624, 626, 631, 676, 694, 733, 735, 800, 801, 804, 805, 806, 807, 808, 811, 814, 819, 824, 825, 826, 827, 828, 830, 832, 836, 839, 840, 843, 844, 845, 855], "test_jax_gpu": 9, "xla_bridg": [9, 40], "get_backend": [9, 822], "test_torch_gpu": 9, "is_avail": 9, "test_xgboost_gpu": 9, "capsi": 9, "load_diabet": 9, "y": [9, 26, 27, 38, 39, 41, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 124, 127, 129, 131, 132, 133, 134, 135, 136, 137, 138, 144, 147, 148, 149, 158, 160, 163, 175, 188, 192, 196, 201, 202, 203, 207, 209, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 328, 329, 330, 336, 343, 344, 345, 346, 347, 352, 354, 356, 360, 362, 365, 368, 369, 370, 371, 374, 380, 387, 389, 391, 392, 396, 399, 401, 405, 411, 418, 422, 428, 433, 440, 442, 444, 445, 446, 447, 448, 458, 460, 469, 473, 481, 482, 483, 488, 492, 493, 495, 503, 509, 510, 511, 512, 513, 516, 518, 519, 520, 522, 525, 528, 529, 532, 533, 535, 536, 537, 540, 541, 542, 546, 548, 549, 550, 552, 553, 556, 557, 562, 569, 570, 571, 574, 577, 578, 579, 580, 582, 584, 586, 587, 588, 592, 593, 596, 599, 600, 601, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 638, 640, 642, 644, 645, 646, 647, 653, 654, 655, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 672, 674, 675, 676, 678, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 708, 711, 712, 714, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 797, 799, 810, 812, 815, 816, 824, 826, 827, 829, 830, 832, 834, 836, 848], "target": [9, 11, 13, 19, 21, 22, 24, 26, 27, 29, 30, 31, 32, 33, 42, 52, 75, 190, 370, 442, 443, 444, 445, 446, 447, 448, 618, 758, 779, 781, 787, 799, 802, 805, 807, 810, 819, 820, 827, 828, 833, 837, 838, 839, 849, 850, 851, 853, 854, 855, 858, 860, 861], "xgb_model": 9, "xgbregressor": 9, "tree_method": 9, "caus": [9, 370, 443, 805, 806, 808, 810, 812, 813, 814, 816, 825, 827, 829, 840], "either": [9, 21, 22, 31, 32, 33, 34, 38, 44, 51, 52, 53, 56, 65, 69, 74, 75, 76, 79, 80, 107, 110, 113, 118, 128, 129, 139, 215, 216, 217, 218, 223, 233, 235, 236, 238, 240, 242, 249, 250, 256, 257, 258, 259, 260, 268, 277, 279, 280, 282, 285, 286, 331, 352, 365, 368, 374, 380, 389, 399, 409, 410, 414, 494, 511, 512, 532, 552, 560, 561, 569, 588, 613, 615, 616, 619, 621, 623, 624, 627, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 664, 669, 672, 676, 702, 703, 704, 744, 745, 750, 752, 765, 779, 780, 781, 788, 801, 804, 805, 806, 810, 811, 812, 814, 815, 816, 817, 818, 820, 822, 825, 826, 827, 828, 829, 832, 834, 837, 840, 841, 849, 855], "fit": [9, 59, 82, 626, 692, 804, 826, 834, 851, 852, 855], "consol": [9, 563, 621, 799, 806, 820, 829, 836, 841], "gpu_hist": 9, "captur": [9, 824, 829, 839, 856], "readouterr": 9, "err": 9, "99": [9, 38, 51, 52, 54, 72, 74, 84, 130, 217, 232, 353, 365, 579, 606, 616, 619, 621, 622, 628, 634, 709, 717, 727, 746], "implement": [9, 17, 18, 26, 28, 32, 40, 43, 49, 50, 52, 63, 64, 72, 73, 75, 80, 87, 92, 147, 161, 162, 175, 194, 195, 209, 215, 216, 217, 220, 221, 222, 223, 232, 233, 235, 238, 240, 242, 256, 257, 258, 259, 268, 270, 273, 277, 280, 281, 285, 286, 329, 330, 352, 365, 369, 380, 420, 421, 516, 517, 538, 539, 617, 618, 619, 621, 623, 624, 632, 633, 634, 649, 658, 659, 660, 669, 678, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 764, 766, 788, 799, 802, 804, 807, 808, 809, 810, 812, 814, 815, 817, 818, 819, 821, 822, 823, 825, 827, 829, 830, 832, 834, 836, 837, 838, 839, 840, 842, 852, 853, 854, 855, 858, 861, 862], "binari": [9, 21, 22, 24, 52, 53, 56, 58, 75, 79, 81, 225, 228, 230, 265, 285, 368, 370, 413, 445, 448, 619, 623, 625, 646, 649, 683], "tabular": 9, "pulsar": 9, "emploi": [9, 861], "remov": [9, 15, 16, 19, 24, 26, 27, 29, 57, 69, 80, 624, 626, 627, 628, 657, 664, 678, 696, 702, 703, 719, 793, 796, 799, 804, 810, 811, 813, 814, 817, 822, 828, 829, 832, 839, 848, 849, 855], "id": [9, 41, 52, 75, 191, 324, 325, 326, 362, 545, 618, 621, 799, 803, 805, 809, 811, 812, 820, 824, 829, 841], "column": [9, 42, 52, 57, 75, 80, 92, 93, 127, 142, 322, 362, 369, 371, 378, 380, 421, 427, 437, 457, 462, 464, 465, 469, 471, 503, 509, 510, 616, 624, 658, 659, 665, 671, 673, 674, 679, 763, 778], "well": [9, 26, 27, 40, 41, 42, 76, 370, 445, 546, 621, 624, 673, 765, 799, 801, 804, 806, 811, 813, 814, 818, 825, 826, 827, 829, 838, 839, 849, 854, 855, 856, 860], "standard": [9, 51, 57, 60, 61, 65, 74, 83, 84, 88, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 369, 371, 380, 411, 439, 481, 510, 601, 616, 617, 619, 621, 624, 626, 629, 630, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 724, 727, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 765, 778, 782, 792, 793, 799, 804, 807, 808, 809, 812, 814, 817, 821, 825, 828, 829, 830, 840, 843, 849, 851, 853, 854, 857, 858, 860], "while": [9, 26, 27, 34, 52, 56, 69, 75, 79, 92, 93, 98, 120, 136, 174, 242, 243, 263, 264, 340, 365, 368, 369, 371, 412, 413, 433, 475, 476, 509, 615, 616, 617, 619, 623, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 736, 748, 751, 761, 802, 804, 805, 806, 809, 810, 811, 813, 814, 815, 816, 819, 820, 821, 822, 824, 825, 826, 827, 828, 829, 830, 832, 836, 838, 839, 840, 841, 844, 845, 848, 855, 861, 862], "extra": [9, 27, 69, 98, 117, 601, 615, 621, 809, 814, 816, 823, 825, 826, 827, 832, 834, 848, 849, 852, 857], "dimens": [9, 48, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 69, 71, 75, 76, 79, 80, 81, 82, 84, 85, 86, 88, 89, 95, 97, 98, 101, 108, 112, 136, 140, 141, 310, 321, 323, 324, 325, 326, 329, 330, 334, 335, 342, 349, 356, 362, 365, 366, 368, 369, 370, 371, 374, 375, 378, 380, 382, 384, 386, 387, 388, 390, 395, 396, 400, 404, 405, 406, 407, 410, 411, 413, 414, 416, 418, 421, 437, 445, 451, 452, 453, 457, 463, 474, 475, 476, 477, 479, 481, 489, 490, 491, 494, 498, 500, 503, 513, 515, 516, 517, 518, 519, 520, 533, 534, 535, 537, 544, 578, 581, 601, 613, 616, 621, 623, 624, 625, 626, 627, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 648, 649, 653, 654, 655, 657, 658, 659, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 681, 684, 685, 687, 689, 690, 691, 692, 693, 694, 695, 696, 697, 700, 702, 703, 704, 730, 731, 732, 734, 736, 737, 738, 739, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 775, 779, 782, 816, 818, 824, 826, 827, 829, 832, 834, 837], "label": [9, 40, 41, 42, 52, 58, 75, 81, 370, 442, 444, 445, 446, 447, 448, 625, 683, 684, 685, 799, 804, 808, 826, 833, 834, 835, 839, 841, 855], "load_data": 9, "standardscal": 9, "df": [9, 42], "read_csv": [9, 42], "delimit": [9, 837], "drop": [9, 42, 52, 75, 325, 362, 370, 371, 445, 482, 778, 779, 805, 840], "sc": 9, "fit_transform": 9, "prepare_data": 9, "tupl": [9, 44, 47, 48, 49, 51, 52, 53, 56, 57, 59, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 95, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 117, 122, 123, 129, 131, 135, 136, 138, 142, 144, 148, 149, 150, 161, 162, 163, 167, 168, 174, 175, 181, 191, 194, 195, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 310, 315, 319, 322, 328, 329, 330, 331, 332, 334, 335, 336, 338, 339, 341, 342, 343, 344, 348, 349, 350, 351, 352, 354, 355, 356, 357, 362, 365, 367, 368, 369, 371, 374, 375, 376, 378, 380, 386, 387, 388, 390, 391, 392, 393, 395, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 421, 422, 426, 430, 435, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 454, 457, 458, 468, 473, 479, 481, 482, 483, 486, 489, 491, 492, 493, 494, 495, 497, 498, 500, 501, 502, 510, 511, 512, 513, 515, 516, 517, 518, 519, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 569, 579, 580, 581, 582, 584, 585, 586, 587, 600, 601, 602, 603, 604, 606, 608, 611, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 627, 628, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 652, 653, 654, 658, 659, 660, 661, 662, 663, 664, 665, 667, 669, 670, 671, 672, 674, 676, 677, 678, 681, 683, 684, 685, 686, 687, 688, 690, 691, 693, 694, 695, 696, 697, 700, 701, 702, 703, 704, 705, 706, 708, 709, 710, 712, 713, 714, 716, 717, 720, 721, 722, 723, 725, 726, 727, 728, 730, 733, 734, 736, 737, 738, 739, 740, 741, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 778, 779, 781, 792, 793, 809, 814, 821, 822, 825, 827, 829, 834, 837, 838, 840, 848, 849, 850], "expand_dim": [9, 23, 26, 27, 42, 44, 59, 82, 623, 626, 645, 799, 826, 834, 837, 849], "astyp": [9, 11, 13, 18, 40, 41, 42, 49, 56, 72, 79, 617, 623, 639, 641, 642, 645, 799, 814, 825, 826, 832, 850], "csv": [9, 42, 799], "instanc": [9, 17, 23, 26, 27, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 160, 163, 166, 167, 168, 170, 175, 192, 204, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 365, 368, 369, 370, 371, 374, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 404, 405, 406, 410, 411, 413, 414, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 575, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 771, 776, 804, 805, 806, 808, 809, 810, 814, 816, 817, 818, 819, 821, 822, 823, 824, 825, 829, 837, 838, 839, 842, 848, 856], "117564": 9, "variou": [9, 20, 30, 32, 38, 799, 804, 805, 806, 808, 813, 814, 817, 818, 821, 823, 824, 826, 827, 828, 829, 841, 851, 853, 854, 855, 858, 861], "structur": [9, 27, 69, 72, 98, 160, 163, 530, 621, 628, 709, 718, 799, 804, 806, 809, 812, 822, 827, 828, 829, 830, 837, 838, 854, 855], "allow": [9, 24, 26, 27, 38, 52, 65, 75, 88, 132, 273, 369, 380, 438, 513, 517, 560, 616, 619, 621, 633, 634, 742, 749, 763, 764, 765, 766, 780, 781, 793, 797, 799, 804, 806, 809, 810, 813, 814, 818, 820, 822, 823, 824, 825, 826, 827, 829, 832, 834, 836, 840, 842, 845, 848, 849, 850, 853, 855, 859, 860], "navig": [9, 802, 805, 806, 807, 819], "choic": [9, 27, 44, 52, 65, 75, 88, 369, 371, 437, 456, 634, 751, 753, 799, 805, 813, 825, 826, 837, 846, 849, 855, 862], "rerun": [9, 40], "most": [9, 17, 26, 27, 69, 71, 92, 95, 136, 369, 421, 573, 595, 616, 621, 624, 658, 659, 796, 799, 803, 804, 805, 809, 812, 813, 814, 815, 819, 821, 822, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 840, 845, 855, 856, 858, 859, 861, 862], "method": [9, 17, 26, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 147, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 369, 370, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 530, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 622, 624, 625, 628, 631, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 672, 674, 675, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 716, 717, 718, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 771, 777, 778, 779, 780, 781, 804, 806, 808, 809, 813, 814, 815, 816, 817, 821, 829, 830, 834, 835, 838, 839, 840, 848, 849, 850, 856, 862], "signific": [9, 52, 370, 446, 831, 840, 844, 845, 855], "object": [9, 17, 22, 24, 26, 40, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 98, 101, 102, 124, 128, 129, 139, 151, 160, 163, 171, 174, 209, 267, 497, 545, 561, 604, 616, 617, 618, 621, 622, 628, 630, 708, 709, 710, 712, 713, 714, 720, 721, 722, 723, 730, 758, 760, 761, 768, 769, 770, 776, 777, 779, 780, 781, 788, 792, 799, 809, 810, 812, 813, 822, 823, 826, 827, 829, 832, 836, 839, 847, 848, 849, 850, 855, 861], "logist": 9, "booster": 9, "gblinear": 9, "n_estim": 9, "learning_r": 9, "reg_lambda": 9, "reg_alpha": 9, "base_margin": 9, "xgb_cl": 9, "ivy_cl": 9, "n": [9, 38, 41, 42, 43, 45, 48, 51, 52, 56, 57, 59, 61, 62, 65, 66, 74, 75, 79, 80, 82, 84, 85, 88, 89, 92, 97, 134, 140, 141, 142, 215, 285, 287, 322, 323, 335, 362, 365, 368, 369, 371, 374, 375, 378, 380, 382, 383, 384, 389, 390, 395, 396, 399, 400, 401, 409, 410, 411, 412, 414, 422, 423, 432, 434, 436, 441, 453, 459, 462, 466, 468, 479, 487, 489, 490, 491, 494, 496, 497, 498, 499, 500, 503, 510, 520, 616, 619, 623, 624, 626, 628, 630, 631, 634, 635, 636, 637, 638, 639, 641, 643, 645, 649, 654, 657, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 678, 679, 680, 681, 688, 689, 691, 697, 701, 713, 726, 727, 728, 734, 748, 750, 751, 752, 753, 754, 755, 779, 782, 792, 799, 807, 811, 813, 829, 841, 849], "436": 9, "48": [9, 38, 42, 51, 52, 74, 75, 76, 77, 84, 107, 217, 240, 282, 368, 387, 388, 389, 399, 405, 406, 409, 548, 602, 606, 613, 619, 621, 622, 624, 628, 634, 669, 706, 727, 746], "wai": [9, 15, 16, 17, 20, 22, 26, 30, 32, 38, 92, 95, 799, 801, 803, 805, 808, 809, 810, 811, 813, 814, 815, 825, 826, 827, 829, 832, 836, 837, 838, 839, 840, 841, 844, 845, 850, 857, 861, 862], "t4": 9, "higher": [9, 52, 75, 369, 371, 380, 425, 435, 441, 451, 452, 453, 520, 778, 814, 825, 833, 834, 839, 840, 852, 855, 856, 859, 861, 862], "tier": 9, "than": [9, 26, 27, 29, 32, 51, 52, 53, 56, 57, 59, 61, 62, 63, 65, 69, 74, 75, 76, 79, 80, 82, 84, 85, 86, 88, 97, 98, 121, 129, 160, 208, 216, 217, 220, 221, 223, 224, 227, 229, 231, 235, 241, 242, 256, 257, 258, 259, 266, 268, 273, 277, 279, 281, 282, 286, 287, 288, 296, 306, 328, 331, 344, 351, 362, 365, 368, 369, 371, 380, 389, 390, 395, 396, 399, 400, 401, 411, 412, 416, 418, 435, 441, 464, 465, 511, 512, 513, 552, 553, 556, 573, 595, 616, 617, 618, 619, 621, 623, 624, 626, 630, 631, 632, 634, 652, 654, 664, 665, 666, 667, 670, 681, 686, 690, 696, 728, 734, 737, 738, 739, 744, 745, 750, 751, 752, 753, 779, 793, 802, 806, 808, 812, 813, 814, 816, 818, 819, 825, 826, 827, 829, 830, 831, 832, 834, 837, 838, 839, 840, 841, 845, 852, 853, 854, 855, 861, 862], "reduc": [9, 52, 53, 57, 62, 65, 66, 69, 75, 76, 80, 85, 88, 89, 208, 329, 330, 349, 365, 366, 380, 515, 516, 517, 518, 519, 520, 534, 618, 621, 624, 631, 634, 635, 671, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 792, 793, 813, 818, 826, 832, 834, 836, 848, 853, 857, 858, 859], "lower": [9, 42, 48, 51, 52, 57, 61, 74, 75, 80, 84, 127, 140, 266, 301, 307, 313, 322, 323, 360, 362, 380, 513, 514, 520, 616, 619, 624, 630, 653, 659, 660, 667, 728, 765, 778, 799, 806, 814, 816, 826, 829, 834, 840, 842, 851, 852, 853, 855, 856, 861, 862], "although": [9, 624, 672, 799, 801, 809, 811, 812, 826, 832, 853, 855], "experi": [9, 15, 42, 805, 818, 829, 835, 837, 840], "demonstr": [9, 23, 26, 27, 41, 814, 816, 818, 836], "still": [9, 20, 22, 23, 26, 27, 29, 30, 33, 57, 69, 80, 624, 674, 763, 804, 805, 806, 809, 810, 814, 817, 818, 820, 822, 825, 826, 829, 832, 838, 840, 845, 848, 849, 852, 855, 861], "substanti": [9, 806, 809, 814, 829, 845, 855], "dive": [9, 15, 17, 26, 38, 800, 801, 803, 804, 806, 808, 812, 814, 820, 827, 833, 836, 837, 840, 861], "stuff": 9, "tool": [9, 17, 26, 27, 799, 805, 806, 816, 820, 835, 839, 840, 843, 846, 849, 853, 854, 855, 856, 858, 861, 862], "30": [9, 21, 22, 23, 24, 38, 40, 51, 52, 53, 75, 76, 84, 88, 98, 268, 298, 342, 350, 365, 368, 371, 389, 399, 410, 456, 478, 501, 533, 535, 540, 541, 548, 549, 565, 574, 579, 619, 621, 624, 628, 634, 662, 669, 714, 726, 727, 745, 746, 750, 765, 778, 793, 813], "25": [9, 38, 40, 41, 42, 51, 52, 53, 57, 58, 61, 65, 68, 74, 75, 76, 79, 80, 83, 84, 88, 97, 98, 113, 132, 218, 219, 229, 235, 237, 248, 253, 268, 273, 276, 278, 281, 282, 283, 288, 309, 362, 370, 380, 410, 442, 445, 447, 511, 520, 548, 549, 565, 579, 616, 619, 621, 624, 625, 628, 629, 634, 637, 653, 657, 662, 679, 684, 706, 713, 717, 724, 726, 727, 728, 745, 746, 748, 753, 812, 824], "22": [9, 21, 22, 23, 24, 38, 40, 42, 45, 46, 51, 52, 53, 61, 65, 68, 75, 76, 79, 84, 108, 113, 230, 238, 298, 302, 360, 368, 369, 371, 376, 380, 386, 387, 389, 404, 405, 406, 410, 414, 420, 456, 501, 511, 534, 565, 600, 613, 619, 623, 624, 628, 631, 634, 646, 647, 657, 662, 669, 673, 713, 723, 726, 727, 728, 735, 745, 746, 805, 812, 818], "201": [9, 74, 75, 220, 389, 619], "20x": 9, "24": [9, 19, 38, 40, 51, 52, 57, 65, 74, 75, 76, 79, 80, 84, 97, 230, 238, 253, 255, 268, 278, 279, 282, 342, 345, 365, 368, 380, 386, 388, 389, 399, 404, 405, 406, 410, 414, 511, 533, 534, 619, 621, 624, 628, 634, 637, 657, 665, 669, 706, 717, 726, 727, 728, 744, 746, 760, 818, 837], "ivy_pr": 9, "xgb_pred": 9, "ivyclassifi": 9, "nxgbclassifi": 9, "precis": [9, 52, 57, 75, 80, 160, 248, 268, 275, 282, 339, 365, 369, 380, 422, 510, 573, 595, 617, 619, 621, 624, 659, 660, 665, 672, 674, 675, 681, 771, 813, 826, 831, 832, 859], "recal": 9, "f1": [9, 814], "score": [9, 56, 79, 370, 448, 623, 650, 652, 799], "94": [9, 38, 51, 52, 54, 61, 74, 75, 77, 84, 202, 278, 279, 353, 365, 399, 606, 618, 622, 728], "106597": 9, "33": [9, 38, 40, 41, 51, 61, 65, 74, 75, 76, 77, 79, 221, 222, 229, 278, 368, 369, 371, 380, 387, 409, 410, 438, 456, 511, 529, 579, 606, 619, 621, 622, 623, 624, 628, 634, 646, 647, 669, 723, 726, 746, 753, 763, 766], "10967": 9, "accuraci": [9, 40, 42, 45, 368, 411, 814], "macro": 9, "avg": [9, 368, 386, 388, 409], "96": [9, 38, 52, 54, 74, 75, 76, 84, 232, 253, 285, 353, 365, 368, 389, 533, 534, 606, 619, 621, 622, 624, 634, 669, 728, 746], "67": [9, 38, 51, 52, 53, 57, 74, 75, 76, 79, 84, 97, 233, 238, 278, 279, 281, 288, 298, 302, 360, 380, 410, 511, 533, 534, 579, 605, 607, 619, 621, 622, 624, 661, 728], "73": [9, 38, 51, 80, 282, 380, 511, 624, 630, 653, 727, 829], "92": [9, 38, 42, 52, 53, 84, 353, 365, 600, 610, 622, 624, 655, 727, 728], "28": [9, 24, 26, 27, 38, 40, 42, 45, 51, 52, 56, 60, 74, 75, 76, 79, 80, 84, 88, 234, 237, 258, 274, 368, 369, 389, 399, 420, 517, 548, 602, 619, 621, 622, 623, 624, 629, 634, 638, 640, 642, 644, 645, 647, 669, 724, 726, 727, 728, 746, 750, 799], "27": [9, 38, 40, 45, 51, 52, 57, 61, 74, 75, 79, 80, 84, 88, 229, 230, 233, 273, 281, 282, 339, 365, 368, 389, 399, 549, 619, 621, 624, 628, 634, 664, 669, 679, 706, 713, 727, 746, 750, 763], "852": [9, 623, 647], "449": [9, 529, 621], "47": [9, 38, 42, 51, 52, 57, 61, 74, 75, 76, 77, 79, 84, 224, 282, 368, 380, 387, 405, 406, 511, 533, 534, 606, 619, 621, 622, 623, 624, 630, 647, 661, 727, 728], "29": [9, 38, 40, 42, 45, 57, 74, 76, 77, 79, 84, 223, 380, 410, 511, 533, 534, 604, 608, 619, 621, 622, 624, 661, 726, 727, 728], "82": [9, 38, 40, 45, 46, 51, 77, 84, 108, 221, 380, 511, 602, 622, 727, 728, 802, 819], "68": [9, 38, 42, 45, 51, 84, 108, 130, 223, 368, 389, 399, 613, 616, 619, 624, 629, 680, 724, 727, 728], "nevertheless": 9, "fall": [9, 40, 783, 804, 814, 833], "short": [9, 38, 52, 75, 415, 623, 648, 804, 806, 814, 834, 838], "blaze": 9, "31": [9, 21, 22, 23, 24, 38, 40, 41, 45, 46, 51, 52, 74, 75, 76, 79, 84, 108, 113, 133, 229, 260, 268, 368, 371, 380, 388, 389, 456, 511, 528, 613, 616, 619, 621, 727, 728, 837], "32": [9, 24, 26, 27, 38, 40, 41, 42, 51, 52, 61, 74, 75, 79, 80, 84, 97, 98, 107, 159, 217, 229, 230, 239, 253, 259, 275, 278, 279, 332, 365, 368, 369, 371, 380, 387, 388, 389, 399, 409, 410, 420, 424, 456, 511, 533, 549, 613, 617, 619, 621, 623, 624, 630, 631, 634, 638, 640, 641, 645, 647, 664, 669, 680, 726, 727, 728, 735, 746, 763, 766, 799, 813, 814, 824, 837, 860], "03": [9, 22, 41, 48, 51, 53, 54, 74, 75, 77, 84, 133, 233, 258, 337, 579, 580, 603, 608, 616, 619, 621, 622, 624, 625, 662, 683, 727], "62": [9, 38, 40, 46, 68, 74, 84, 108, 253, 281, 619, 629, 630, 724, 726, 728], "36": [9, 38, 42, 51, 52, 56, 65, 75, 76, 80, 223, 278, 279, 342, 365, 368, 369, 380, 389, 399, 425, 511, 533, 534, 580, 619, 621, 624, 628, 634, 647, 666, 669, 679, 716, 746], "35": [9, 38, 46, 56, 57, 68, 74, 75, 79, 80, 84, 108, 223, 282, 368, 389, 399, 619, 623, 624, 631, 634, 647, 654, 661, 727, 735, 746], "37": [9, 21, 22, 23, 24, 38, 46, 51, 52, 68, 74, 75, 79, 97, 108, 221, 229, 278, 281, 285, 376, 410, 501, 619, 623, 624, 628, 630, 647, 666, 713, 727, 813], "surpass": 9, "remark": [9, 840], "artifici": 9, "simpli": [9, 17, 26, 27, 29, 38, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 619, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 799, 804, 805, 806, 809, 810, 811, 813, 814, 815, 816, 817, 819, 821, 822, 825, 826, 827, 829, 832, 834, 838, 839, 840, 842, 856, 861], "stack": [9, 19, 21, 22, 23, 24, 29, 38, 42, 52, 57, 59, 69, 75, 80, 82, 97, 140, 141, 323, 362, 369, 371, 421, 457, 458, 460, 469, 488, 567, 576, 598, 616, 621, 624, 626, 628, 655, 657, 658, 659, 660, 662, 664, 666, 667, 668, 670, 671, 672, 674, 675, 678, 705, 715, 716, 779, 799, 803, 808, 825, 834, 851, 853, 860, 861], "x_doubl": 9, "vstack": [9, 52, 75, 371, 469], "y_doubl": 9, "explor": [9, 11, 13, 17, 21, 22, 23, 26, 27, 32, 33, 34, 804, 805, 806, 814, 819, 832, 835, 839, 855, 858], "235128": 9, "41": [9, 21, 22, 23, 24, 38, 40, 45, 51, 52, 57, 74, 75, 76, 79, 80, 108, 222, 230, 237, 268, 282, 368, 369, 376, 380, 387, 405, 410, 430, 501, 511, 528, 529, 613, 619, 621, 624, 634, 653, 661, 752], "315": [9, 274, 619], "40": [9, 38, 40, 42, 52, 53, 74, 75, 76, 84, 88, 98, 229, 233, 253, 282, 342, 365, 368, 371, 387, 389, 399, 405, 478, 533, 535, 540, 541, 565, 579, 601, 604, 619, 621, 622, 624, 628, 634, 662, 669, 714, 727, 746, 750, 799, 813], "879": 9, "65": [9, 38, 40, 42, 45, 74, 77, 84, 229, 268, 529, 548, 602, 619, 621, 622, 624, 634, 669, 727, 728, 746, 813], "380": 9, "seem": [9, 804, 805, 832, 838, 839, 840, 855], "observ": [9, 52, 75, 380, 509, 510, 806, 814, 818, 834, 848, 857], "examin": 9, "600": [9, 42, 76, 79, 368, 391, 392, 541, 813], "plot": [9, 41, 799, 855], "conduct": [9, 859], "num_boosting_round": 9, "300": [9, 74, 76, 79, 278, 368, 391, 392, 541, 565, 619, 621, 624, 662, 829], "400": [9, 76, 79, 368, 391, 392, 541, 565, 621, 624, 662], "500": [9, 52, 75, 76, 79, 368, 369, 391, 392, 441, 541, 621], "ivy_elapsed_tim": 9, "xgb_elapsed_tim": 9, "ivy_tim": 9, "partial": [9, 52, 69, 75, 161, 162, 194, 195, 342, 365, 368, 369, 371, 380, 415, 435, 474, 475, 476, 477, 517, 538, 539, 607, 617, 618, 621, 622, 624, 663, 764, 766, 780, 781, 806, 811, 832], "append": [9, 41, 42, 52, 57, 69, 75, 227, 335, 365, 619, 624, 626, 657, 664, 689, 793, 799, 813, 829, 834, 837], "xgb_time": 9, "fivethirtyeight": 9, "legend": [9, 42, 804], "loc": 9, "best": [9, 40, 560, 621, 793, 799, 800, 802, 803, 804, 805, 806, 807, 813, 814, 818, 819, 828, 829, 830, 841, 858, 859], "xlabel": 9, "ylabel": 9, "obviou": [9, 837, 855], "trend": 9, "longer": [9, 805, 814, 825, 829, 855], "gap": 9, "between": [9, 15, 16, 21, 31, 32, 33, 38, 51, 52, 53, 56, 57, 58, 59, 63, 69, 74, 75, 79, 80, 81, 82, 98, 121, 160, 223, 236, 271, 287, 328, 344, 346, 365, 368, 369, 370, 371, 380, 391, 392, 393, 404, 405, 406, 414, 420, 424, 442, 443, 444, 445, 446, 447, 448, 473, 520, 616, 617, 619, 623, 625, 626, 628, 630, 632, 646, 669, 683, 684, 685, 689, 697, 711, 726, 737, 738, 739, 764, 771, 783, 799, 809, 810, 814, 816, 821, 822, 823, 825, 826, 827, 828, 829, 832, 833, 835, 836, 837, 839, 844, 848, 849, 851, 852, 854, 855, 856, 861], "within": [9, 11, 13, 17, 26, 27, 47, 52, 75, 121, 328, 344, 365, 368, 374, 404, 405, 406, 411, 414, 451, 452, 453, 494, 616, 630, 728, 793, 804, 806, 809, 813, 814, 826, 827, 828, 829, 838, 840, 849, 851, 852, 856], "slightli": [9, 306, 362, 812, 826, 829, 834, 838], "paramet": [9, 13, 24, 26, 27, 40, 42, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 180, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 199, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 554, 555, 556, 557, 559, 560, 561, 564, 565, 568, 569, 570, 571, 574, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 619, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 765, 766, 771, 776, 778, 779, 780, 781, 782, 783, 784, 788, 789, 792, 793, 795, 799, 804, 809, 817, 818, 821, 826, 827, 829, 830, 834, 836, 837, 848, 849, 850, 856], "x_train": 9, "y_train": [9, 42, 799], "train_siz": [9, 40], "random_st": [9, 369, 426], "51": [9, 38, 42, 51, 52, 74, 75, 76, 84, 230, 268, 281, 369, 389, 441, 619, 728, 763], "clear": [9, 190, 618, 804, 806, 810, 814, 815, 816, 826, 832, 834, 836, 844, 845, 846, 855], "amount": [9, 58, 81, 210, 618, 625, 683, 684, 685, 793, 805, 813, 815, 827], "widen": 9, "impress": 9, "outcom": [9, 52, 75, 331, 342, 365, 793], "howev": [9, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 57, 80, 242, 285, 286, 371, 374, 481, 489, 491, 568, 619, 621, 624, 672, 674, 788, 804, 805, 808, 809, 810, 812, 814, 815, 816, 817, 818, 820, 821, 822, 825, 826, 827, 829, 832, 834, 836, 837, 838, 839, 840, 845, 848, 854, 855, 861], "tend": 9, "outperform": 9, "proce": [9, 804, 805], "95933": 9, "9874": 9, "105807": 9, "70": [9, 38, 40, 52, 75, 76, 368, 389, 399, 541, 565, 624, 634, 669, 746, 845], "77": [9, 38, 42, 76, 580, 624, 634, 669, 746], "93": [9, 38, 52, 74, 76, 84, 193, 282, 353, 365, 533, 534, 618, 621, 727, 728], "wrap": [9, 17, 19, 26, 27, 29, 40, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 527, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 576, 579, 580, 581, 582, 584, 586, 587, 598, 600, 602, 603, 606, 608, 609, 610, 611, 621, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 760, 799, 807, 808, 809, 810, 812, 813, 814, 815, 817, 818, 821, 822, 825, 826, 829, 834, 836, 839, 840, 842, 848, 849, 851, 855, 856, 861, 862], "balanc": 9, "breast": 9, "cancer": 9, "53": [9, 21, 38, 57, 61, 74, 79, 154, 210, 240, 410, 605, 607, 617, 618, 622, 624, 629, 661, 724, 728], "return_x_i": 9, "x_test": 9, "y_test": 9, "test_siz": [9, 40], "76": [9, 19, 38, 51, 52, 65, 72, 74, 75, 84, 163, 217, 233, 281, 316, 362, 399, 617, 619, 624, 628, 634, 676, 713, 727, 746], "87": [9, 38, 77, 79, 229, 258, 368, 380, 410, 411, 511, 602, 619, 622, 763, 819], "171": [9, 57, 624, 661, 763], "90": [9, 38, 40, 42, 51, 52, 74, 75, 234, 274, 278, 353, 365, 371, 380, 479, 511, 619, 624, 634, 669, 746, 793, 845], "86": [9, 38, 61, 75, 84, 368, 380, 399, 511, 602, 622, 727, 728], "88": [9, 38, 77, 84, 107, 380, 511, 606, 613, 622, 624, 630, 634, 669, 728, 746], "perfectli": [9, 765, 846], "align": [9, 52, 69, 75, 368, 369, 403, 419, 623, 651, 793, 805, 813, 826, 828, 834, 836, 842, 861], "gain": [9, 778, 806, 808, 833, 838, 855], "combin": [9, 32, 52, 69, 75, 98, 368, 380, 401, 412, 510, 538, 539, 621, 624, 654, 664, 806, 809, 812, 813, 814, 816, 818, 822, 829, 839, 855], "build": [10, 14, 15, 17, 24, 26, 27, 30, 31, 32, 33, 38, 40, 45, 63, 69, 98, 632, 736, 737, 738, 739, 779, 780, 781, 799, 800, 805, 807, 813, 814, 822, 824, 833, 835, 838, 839, 840, 842, 845, 849, 853, 855, 857, 860, 861, 862], "timm": [10, 11, 15, 26, 27, 799, 849], "kera": [10, 11, 13, 15, 16, 24, 26, 27, 43, 44, 776, 799, 846, 849, 861], "seen": [11, 13, 18, 24, 26, 369, 375, 427, 498, 545, 621, 788, 813, 814, 816, 818, 826, 829, 834, 836, 837, 844, 845, 861], "veri": [11, 19, 26, 27, 29, 51, 74, 269, 328, 344, 365, 619, 624, 672, 765, 803, 804, 805, 806, 811, 812, 814, 815, 816, 818, 819, 821, 822, 825, 826, 827, 829, 830, 832, 835, 837, 838, 839, 840, 844, 845, 851, 852, 853, 855, 856, 857, 860, 861, 862], "guid": [11, 24, 799, 800, 804, 805, 806, 811, 820, 826, 828, 861], "focu": [11, 24, 804, 824, 853, 854, 857, 862], "more": [11, 14, 15, 17, 18, 19, 22, 24, 26, 27, 28, 29, 38, 40, 41, 42, 46, 51, 52, 57, 59, 63, 68, 74, 75, 80, 82, 86, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 148, 240, 242, 258, 273, 286, 290, 294, 295, 297, 356, 360, 366, 369, 370, 371, 416, 418, 430, 433, 445, 451, 452, 453, 458, 479, 568, 613, 616, 617, 619, 621, 624, 626, 632, 657, 663, 664, 667, 670, 672, 674, 681, 690, 697, 736, 737, 738, 739, 765, 775, 793, 799, 801, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 816, 818, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 833, 834, 835, 836, 837, 838, 839, 840, 841, 849, 850, 853, 854, 855, 856, 857, 858, 861, 862], "involv": [11, 14, 15, 22, 24, 49, 72, 175, 218, 235, 242, 268, 273, 617, 619, 793, 800, 804, 807, 813, 814, 816, 827, 832, 839, 845, 855, 861], "develop": [11, 25, 26, 27, 799, 800, 801, 802, 803, 804, 805, 806, 808, 811, 813, 819, 828, 830, 840, 842, 844, 845, 846, 848, 849, 853, 854, 855, 856, 857, 860, 861, 862], "usual": [11, 13, 43, 235, 268, 619, 792, 805, 808, 814, 826, 829, 832], "own": [11, 13, 17, 26, 27, 32, 799, 805, 808, 813, 814, 817, 818, 825, 826, 830, 834, 840, 842, 845, 846, 851, 854, 855, 860, 861], "directli": [11, 13, 17, 20, 24, 26, 27, 30, 368, 369, 403, 427, 628, 717, 799, 804, 805, 806, 808, 809, 812, 813, 814, 815, 817, 820, 822, 823, 825, 826, 827, 830, 831, 834, 836, 838, 839, 840, 841, 846, 848, 849, 850, 859, 860, 861], "case": [11, 13, 19, 21, 26, 27, 29, 30, 31, 32, 40, 47, 48, 52, 53, 59, 65, 69, 71, 75, 76, 82, 92, 93, 98, 123, 134, 161, 162, 189, 194, 195, 202, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 243, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 340, 342, 352, 365, 368, 371, 374, 375, 381, 391, 392, 393, 413, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 478, 479, 487, 489, 491, 498, 521, 538, 539, 543, 550, 564, 565, 566, 616, 617, 618, 619, 621, 624, 626, 628, 634, 672, 678, 689, 690, 691, 693, 695, 696, 698, 700, 708, 714, 747, 748, 749, 750, 751, 752, 753, 763, 764, 783, 793, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 815, 816, 817, 818, 819, 820, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 838, 839, 840, 845, 848, 849, 850, 854, 858], "mlp": 11, "mixer": 11, "onli": [11, 13, 26, 27, 32, 38, 40, 42, 44, 47, 48, 51, 52, 57, 59, 61, 69, 71, 74, 75, 80, 82, 84, 92, 95, 97, 113, 133, 173, 174, 203, 263, 264, 269, 275, 306, 336, 342, 362, 365, 368, 369, 371, 375, 380, 390, 403, 413, 422, 427, 439, 441, 451, 452, 453, 463, 496, 497, 513, 527, 613, 616, 617, 618, 619, 621, 623, 624, 626, 628, 630, 631, 633, 634, 649, 664, 671, 674, 675, 690, 693, 705, 706, 712, 713, 715, 716, 717, 722, 723, 726, 727, 728, 731, 732, 742, 748, 751, 761, 763, 764, 766, 779, 783, 792, 799, 800, 801, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 818, 821, 822, 824, 825, 826, 827, 829, 830, 831, 832, 834, 836, 837, 838, 839, 840, 844, 848, 849, 854, 855, 856, 861, 862], "retriev": [11, 13, 17, 523, 545, 570, 621, 806, 826], "mlp_encod": [11, 26, 27, 799, 849], "create_model": [11, 26, 27, 799, 849], "mixer_b16_224": [11, 26, 27, 799, 849], "nois": [11, 13, 26, 27, 799, 848, 849], "randn": [11, 13, 26, 27, 799, 849], "tf_mlp_encod": [11, 26, 27], "output_torch": [11, 13], "output_tf": [11, 13], "constant": [11, 13, 18, 21, 22, 28, 31, 33, 38, 52, 59, 60, 75, 82, 83, 92, 93, 316, 362, 368, 370, 371, 413, 445, 446, 473, 626, 628, 629, 688, 711, 724, 778, 782, 799, 822, 827, 830, 838, 839, 840, 848, 850], "output_dens": [11, 26, 27, 799], "layer": [11, 13, 17, 23, 24, 26, 27, 38, 43, 52, 60, 75, 83, 629, 648, 649, 724, 776, 778, 780, 781, 782, 783, 784, 799, 817, 826, 830, 832, 834, 835, 838, 844, 849, 853, 855, 859, 862], "dens": [11, 24, 26, 27, 310, 362, 779, 799], "unit": [11, 26, 27, 52, 68, 75, 92, 93, 105, 107, 108, 109, 110, 111, 112, 113, 290, 291, 293, 297, 299, 300, 303, 304, 305, 360, 492, 493, 613, 799, 805, 808, 814, 826, 827, 829, 840, 856, 859], "activ": [11, 24, 26, 27, 52, 53, 56, 67, 75, 79, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 582, 623, 649, 652, 778, 779, 799, 804, 805, 806, 814, 820, 830, 831, 838, 849, 855, 858], "mention": [11, 13, 26, 27, 32, 804, 805, 806, 809, 816, 821, 822, 825, 826, 829, 832, 845, 850, 855], "basic": [11, 13, 17, 20, 24, 26, 27, 30, 33, 371, 480, 799, 800, 804, 816, 829], "fulli": [11, 13, 15, 16, 19, 24, 26, 27, 40, 52, 75, 380, 517, 779, 799, 809, 814, 821, 824, 832, 834, 835, 836, 837, 838, 839, 840, 846, 850, 853, 854, 855, 861, 862], "trainabl": [11, 13, 17, 23, 24, 26, 27, 44, 776, 780, 781, 784, 799, 817, 835, 837, 838, 849, 850], "fine": [11, 13, 26, 27, 805, 806, 814, 816, 826, 836, 839, 861], "tune": [11, 13, 26, 27, 860, 861], "train": [11, 13, 24, 26, 27, 43, 52, 54, 56, 75, 77, 79, 95, 368, 369, 374, 391, 392, 393, 438, 489, 491, 602, 603, 608, 622, 623, 646, 649, 652, 778, 779, 780, 781, 782, 799, 812, 815, 822, 837, 838, 839, 840, 846, 849, 853, 854, 859, 861, 862], "ground": [11, 13, 370, 442, 758, 760, 771, 802, 819, 826, 829, 844], "ret": [11, 13, 26, 27, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 158, 159, 160, 161, 162, 163, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 187, 188, 189, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 207, 208, 209, 210, 211, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 413, 414, 415, 416, 418, 419, 420, 421, 423, 428, 431, 433, 436, 439, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 479, 481, 482, 483, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 559, 560, 561, 562, 564, 565, 569, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 708, 711, 712, 713, 714, 715, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 766, 776, 781, 783, 788, 793, 795, 799, 814, 815, 817, 818, 824, 825, 826, 827, 830, 834, 839, 849], "op": [11, 17, 38, 775, 788, 830, 834, 840], "eagertensor": [11, 17, 38, 788, 827], "readi": [11, 13, 18, 19, 20, 28, 29, 30, 31, 32, 33, 40, 42, 804, 805], "deepmind": [12, 846], "perceiverio": [12, 846], "backbon": [12, 40, 799, 834, 837], "TO": [12, 14, 25], "replac": [12, 14, 25, 41, 51, 52, 53, 59, 61, 69, 74, 75, 76, 82, 84, 127, 269, 304, 307, 360, 362, 371, 478, 481, 564, 565, 569, 616, 619, 621, 626, 630, 686, 725, 763, 806, 811, 812, 814, 815, 823, 826, 829, 836, 839, 840, 845, 849, 862], "efficientnet": 13, "include_top": [13, 799], "eff_encod": [13, 799], "applic": [13, 15, 40, 42, 45, 52, 56, 75, 79, 95, 369, 441, 623, 624, 628, 634, 649, 652, 678, 711, 712, 713, 717, 718, 750, 752, 799, 805, 813, 814, 815, 823, 838, 852, 853, 855, 857, 859, 861], "efficientnet_v2": [13, 799], "efficientnetv2b0": [13, 799], "data": [13, 21, 22, 23, 24, 27, 32, 40, 42, 45, 46, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 64, 65, 66, 68, 69, 71, 74, 75, 76, 79, 80, 82, 84, 85, 86, 87, 88, 89, 97, 98, 100, 101, 102, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 145, 146, 147, 149, 150, 152, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 176, 177, 178, 179, 181, 187, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 294, 295, 296, 297, 306, 307, 308, 309, 310, 311, 312, 323, 324, 325, 326, 327, 329, 330, 331, 347, 352, 360, 362, 365, 368, 369, 371, 375, 379, 380, 383, 391, 392, 393, 409, 411, 413, 419, 421, 439, 456, 478, 481, 482, 484, 496, 497, 498, 499, 500, 506, 510, 511, 512, 516, 519, 520, 537, 550, 552, 553, 556, 582, 613, 616, 618, 619, 621, 623, 624, 626, 628, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 646, 647, 653, 654, 655, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 687, 690, 691, 693, 694, 696, 697, 701, 709, 726, 727, 728, 730, 731, 732, 734, 735, 740, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 775, 778, 779, 780, 781, 785, 793, 799, 805, 807, 808, 809, 810, 811, 812, 815, 817, 821, 822, 823, 825, 827, 830, 832, 834, 836, 842, 843, 845, 855, 856, 857, 859, 860, 861], "storag": [13, 40, 41, 837, 845], "googleapi": [13, 40, 41], "efficientnetv2": 13, "b0_notop": 13, "h5": [13, 69], "24274472": 13, "0u": 13, "torch_eff_encod": [13, 799], "1280": [13, 533, 621, 799], "state": [14, 25, 40, 56, 75, 79, 95, 182, 183, 184, 185, 186, 268, 368, 413, 589, 591, 594, 596, 597, 617, 619, 621, 623, 648, 761, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 799, 802, 805, 811, 814, 815, 817, 818, 819, 820, 821, 826, 829, 833, 834, 835, 837, 845, 849, 861, 862], "api": [14, 19, 24, 25, 29, 42, 44, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 173, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 802, 805, 806, 807, 809, 811, 814, 815, 816, 817, 818, 819, 821, 823, 825, 826, 827, 829, 832, 833, 835, 837, 840, 842, 843, 844, 851, 853, 855, 857, 860, 862], "welcom": [15, 41, 799, 800, 805, 806, 828], "goal": [15, 40, 242, 619, 799, 804, 845, 855, 861], "provid": [15, 17, 21, 24, 26, 27, 31, 32, 38, 44, 48, 52, 53, 57, 59, 62, 65, 66, 69, 71, 75, 76, 80, 82, 85, 88, 89, 117, 134, 136, 153, 154, 155, 156, 157, 165, 175, 187, 191, 287, 368, 369, 371, 374, 380, 403, 411, 415, 420, 424, 435, 436, 440, 441, 457, 459, 468, 487, 489, 491, 520, 532, 564, 565, 615, 616, 617, 618, 619, 621, 623, 624, 626, 628, 631, 634, 635, 649, 666, 669, 680, 689, 690, 697, 709, 731, 751, 753, 754, 755, 764, 779, 783, 788, 789, 799, 804, 805, 806, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 824, 825, 826, 827, 829, 830, 832, 836, 838, 840, 844, 848, 849, 850, 853, 854, 855, 856, 857, 858, 859, 862], "varieti": [15, 808, 813, 814, 815, 829, 831, 851, 853, 857, 858, 861, 862], "organ": [15, 809, 812, 822, 826, 828, 830, 842, 845], "main": [15, 27, 48, 52, 57, 75, 80, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 419, 462, 616, 624, 656, 657, 678, 799, 804, 805, 806, 808, 811, 812, 819, 823, 825, 853, 855, 856, 861], "exactli": [15, 19, 29, 38, 39, 43, 285, 619, 804, 812, 813, 814, 815, 816, 818, 829, 832, 844, 846], "rush": [15, 846], "jump": [15, 827], "straight": [15, 799, 813, 826, 829, 836], "quickstart": 15, "introduct": [15, 17, 24, 26, 27, 855], "capabl": [15, 23, 27, 829, 832], "point": [15, 24, 49, 51, 52, 57, 61, 63, 65, 72, 74, 75, 80, 84, 88, 121, 122, 123, 125, 127, 130, 137, 138, 143, 147, 160, 164, 168, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 248, 249, 250, 251, 256, 257, 258, 259, 260, 268, 270, 271, 273, 275, 277, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 306, 307, 309, 329, 330, 346, 347, 350, 352, 362, 365, 368, 369, 370, 375, 380, 383, 391, 392, 393, 411, 421, 439, 442, 496, 497, 498, 499, 500, 510, 511, 512, 520, 614, 616, 617, 619, 624, 630, 631, 632, 633, 634, 653, 655, 658, 659, 660, 662, 665, 666, 667, 670, 671, 672, 673, 674, 675, 676, 678, 681, 727, 728, 734, 736, 737, 738, 739, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 788, 789, 799, 802, 804, 805, 806, 808, 809, 811, 813, 814, 816, 817, 819, 821, 825, 826, 829, 830, 832, 834, 836, 837, 846, 848, 861], "those": [15, 39, 40, 57, 59, 69, 75, 80, 82, 121, 174, 235, 268, 482, 601, 616, 617, 619, 621, 624, 626, 628, 631, 671, 674, 686, 707, 734, 804, 805, 806, 809, 812, 813, 814, 823, 825, 826, 827, 829, 832, 844, 852], "who": [15, 807, 818, 833, 840, 855, 857], "deeper": [15, 17, 27, 47, 628, 716, 717, 806, 807, 829, 833, 844], "showcas": [15, 799], "real": [15, 23, 51, 52, 65, 74, 75, 88, 97, 107, 110, 113, 137, 138, 215, 216, 217, 218, 220, 221, 222, 223, 224, 233, 235, 236, 238, 240, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 265, 268, 270, 271, 273, 277, 278, 279, 281, 282, 283, 284, 285, 286, 288, 289, 329, 330, 336, 337, 347, 365, 368, 369, 390, 411, 412, 421, 422, 613, 616, 619, 624, 631, 634, 658, 659, 660, 665, 672, 674, 675, 678, 681, 734, 747, 749, 750, 751, 752, 812, 857], "world": [15, 23, 806, 857], "whether": [15, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 61, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 93, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 122, 123, 129, 131, 136, 138, 144, 147, 148, 150, 153, 154, 155, 156, 157, 158, 161, 162, 163, 165, 166, 167, 168, 170, 171, 172, 173, 175, 187, 191, 192, 194, 195, 197, 199, 202, 203, 205, 208, 209, 211, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 323, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 362, 365, 368, 369, 370, 371, 380, 386, 387, 388, 390, 391, 392, 393, 409, 411, 413, 415, 430, 436, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 457, 458, 459, 461, 463, 464, 465, 468, 472, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 543, 544, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 560, 564, 565, 566, 567, 569, 572, 573, 575, 576, 578, 579, 580, 582, 584, 586, 587, 594, 595, 598, 600, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 630, 634, 635, 637, 638, 639, 640, 646, 647, 648, 649, 652, 653, 654, 659, 660, 661, 662, 663, 664, 665, 667, 669, 671, 672, 673, 678, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 704, 705, 706, 711, 712, 713, 715, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 758, 760, 763, 775, 776, 779, 780, 781, 782, 783, 792, 799, 800, 804, 805, 809, 812, 814, 816, 821, 825, 826, 829, 831, 832, 848, 849], "beginn": [15, 800, 855], "advanc": [15, 38, 805, 854], "got": [15, 38, 818], "cover": [15, 26, 52, 75, 368, 404, 405, 406, 804, 808, 809, 811, 814, 816, 817, 822, 823, 829, 832, 833], "write": [15, 16, 26, 27, 38, 42, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 149, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 323, 327, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 343, 345, 346, 347, 348, 351, 352, 353, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 415, 416, 418, 419, 427, 428, 431, 432, 433, 434, 440, 442, 443, 444, 445, 447, 448, 457, 458, 461, 462, 463, 464, 465, 466, 467, 470, 471, 472, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 732, 733, 735, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 761, 799, 803, 804, 806, 807, 808, 810, 811, 813, 814, 816, 817, 818, 822, 825, 827, 830, 834, 836, 839, 846, 855, 862], "familiar": [15, 16, 17, 799, 804, 805], "concept": [15, 16, 17], "agnost": [15, 16, 17, 18, 26, 27, 28, 32, 38, 799, 809, 814, 821, 834, 836, 839, 840, 861, 862], "unifi": [15, 16, 17, 19, 20, 26, 29, 30, 34, 41, 69, 208, 618, 807, 808, 809, 813, 814, 818, 823, 824, 826, 832, 834, 840, 843, 845, 847, 849, 851, 852, 853, 855, 859, 862], "alongsid": [15, 16, 17, 18, 28, 623, 649, 845], "turn": [15, 16, 19, 29, 56, 79, 92, 93, 391, 392, 393, 623, 646, 779, 805, 811, 812, 815, 816, 826, 829, 846], "wrapper": [15, 16, 19, 771, 809, 811, 812, 814, 818, 822, 825, 826, 836, 842, 851, 855], "unus": [15, 16, 19, 816, 825], "part": [15, 16, 19, 48, 51, 52, 74, 75, 80, 97, 107, 110, 113, 140, 141, 142, 248, 252, 275, 322, 323, 348, 362, 365, 368, 369, 371, 380, 411, 422, 473, 520, 613, 616, 619, 624, 659, 660, 760, 799, 804, 805, 806, 808, 811, 814, 820, 822, 825, 826, 829, 830, 832, 834, 835, 839, 840, 848, 849, 850, 853, 855, 860, 861, 862], "lazi": [15, 16, 19, 22, 29, 32, 33, 44], "eager": [15, 16, 19, 22, 24, 29, 32, 33, 44, 812, 840, 855], "understand": [15, 16, 17, 21, 38, 44, 802, 803, 804, 805, 806, 807, 808, 811, 816, 817, 821, 827, 828, 833, 846, 851, 861], "decor": [15, 16, 21, 23, 24, 32, 44, 527, 621, 763, 765, 771, 802, 808, 809, 812, 814, 815, 819, 822, 825, 826, 827, 832], "kornia": [15, 16, 23, 26, 27, 40, 44, 799, 849], "roundup": 17, "over": [17, 24, 27, 29, 40, 52, 57, 65, 66, 67, 72, 75, 79, 80, 88, 89, 90, 92, 117, 314, 315, 329, 330, 342, 349, 362, 365, 368, 369, 371, 378, 380, 382, 383, 384, 387, 396, 401, 405, 409, 410, 411, 412, 413, 414, 434, 450, 463, 478, 481, 482, 503, 513, 519, 568, 601, 615, 621, 624, 629, 630, 634, 635, 654, 665, 676, 678, 680, 681, 724, 728, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 782, 788, 792, 799, 805, 806, 810, 816, 817, 824, 825, 827, 830, 834, 836, 840, 844, 846, 853, 855], "indep": [17, 26], "futur": [17, 24, 26, 40, 624, 659, 660, 799, 805, 806, 813, 814, 829, 830, 832, 836, 840, 844, 846, 861], "proof": [17, 26], "delv": [17, 27, 799], "theori": [17, 801, 811], "deep": [17, 24, 26, 38, 69, 533, 621, 799, 800, 801, 803, 804, 806, 808, 811, 812, 814, 820, 824, 827, 833, 836, 837, 844, 853, 855, 858, 859, 861, 862], "esenti": [17, 26], "abstract": [17, 26, 27, 778, 783, 799, 812, 814, 825, 826, 829, 832, 838, 844, 853, 855, 857, 858, 862], "specif": [17, 18, 23, 24, 26, 27, 28, 30, 32, 40, 50, 52, 53, 73, 75, 76, 175, 206, 209, 242, 263, 264, 273, 316, 329, 330, 362, 365, 371, 375, 481, 500, 533, 534, 535, 561, 617, 618, 619, 621, 624, 626, 627, 630, 633, 634, 659, 660, 676, 697, 702, 703, 704, 725, 742, 747, 748, 749, 751, 758, 760, 780, 781, 788, 789, 795, 799, 802, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 818, 820, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 835, 836, 838, 839, 840, 841, 842, 844, 848, 849, 850, 851, 853, 854, 856, 857, 858, 862], "quirk": [17, 26], "perk": [17, 26, 799, 809, 812], "under": [17, 26, 27, 52, 370, 445, 446, 792, 799, 804, 805, 807, 808, 815, 816, 817, 820, 826, 827, 829, 832, 833, 834, 837, 839, 840, 848, 849, 855, 858, 862], "hood": [17, 26, 27, 799, 807, 815, 816, 820, 826, 829, 832, 833, 834, 837, 839, 848, 849, 862], "appropi": 17, "string": [17, 26, 27, 42, 52, 53, 56, 69, 75, 79, 145, 146, 158, 165, 187, 188, 189, 190, 191, 193, 202, 209, 210, 214, 368, 369, 371, 410, 414, 422, 473, 484, 512, 531, 617, 618, 621, 623, 624, 636, 637, 638, 639, 641, 643, 645, 660, 758, 760, 764, 792, 793, 810, 811, 813, 814, 815, 818, 826, 834, 837], "simplest": [17, 805, 816, 829, 832], "interact": [17, 26, 41, 44, 804, 854, 855, 860], "submodul": [17, 26, 40, 42, 97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 804, 805, 806, 808, 811, 813, 815, 819, 822, 823, 829, 833, 834, 838, 842], "ones": [17, 24, 26, 38, 44, 48, 52, 54, 56, 61, 69, 71, 75, 79, 84, 127, 131, 136, 138, 144, 194, 195, 231, 307, 362, 380, 519, 602, 616, 618, 619, 622, 623, 641, 642, 726, 727, 728, 764, 799, 804, 809, 813, 816, 821, 822, 828, 829, 836, 837, 855], "likewis": [17, 22, 26, 33, 799, 806, 812, 814, 817, 821, 822, 826, 832, 837, 848, 849, 861], "nativearrai": [17, 26, 27, 47, 48, 49, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 63, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 122, 123, 124, 126, 131, 132, 133, 134, 135, 136, 138, 140, 141, 144, 147, 148, 149, 150, 153, 154, 155, 156, 157, 158, 160, 163, 166, 167, 168, 170, 172, 174, 175, 181, 191, 192, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 311, 312, 316, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 456, 457, 458, 459, 461, 462, 463, 464, 465, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 510, 511, 512, 513, 514, 522, 525, 526, 528, 529, 533, 534, 535, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 553, 556, 557, 559, 564, 565, 566, 569, 578, 579, 580, 581, 582, 584, 586, 587, 589, 600, 602, 603, 604, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 706, 707, 708, 712, 713, 714, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 784, 809, 812, 816, 818, 821, 822, 823, 825, 826, 830, 831, 834, 836, 842], "alia": [17, 26, 329, 330, 365, 614, 804, 826, 847, 850], "select": [17, 26, 31, 44, 52, 65, 75, 88, 369, 371, 380, 422, 433, 481, 482, 511, 512, 634, 744, 745, 804, 805, 806, 813, 819, 825, 829, 834, 836, 839, 840, 855, 858, 859], "lastli": [17, 26, 809], "contain": [17, 26, 27, 41, 46, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 93, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 158, 160, 161, 162, 163, 166, 167, 168, 170, 172, 175, 192, 194, 195, 196, 201, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 360, 362, 365, 367, 368, 369, 370, 371, 374, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 545, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 569, 572, 574, 579, 580, 581, 582, 584, 586, 587, 594, 600, 601, 602, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 708, 712, 713, 714, 717, 718, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 770, 771, 779, 780, 781, 783, 784, 788, 792, 793, 799, 801, 802, 804, 805, 807, 808, 809, 810, 811, 813, 814, 816, 817, 819, 821, 822, 823, 824, 825, 827, 829, 831, 832, 833, 834, 835, 838, 840, 841, 842, 844, 848, 855, 856, 861], "subclass": [17, 26, 27, 823, 826, 832, 849], "dict": [17, 26, 27, 40, 44, 47, 53, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 129, 131, 136, 138, 144, 148, 150, 161, 162, 163, 167, 168, 175, 191, 194, 195, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 319, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 362, 371, 390, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 473, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 523, 525, 526, 528, 529, 533, 534, 535, 536, 537, 538, 539, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 586, 587, 600, 611, 615, 617, 618, 621, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 705, 706, 708, 711, 712, 713, 714, 716, 717, 718, 722, 723, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 760, 761, 776, 779, 781, 788, 793, 809, 812, 837, 838, 842, 848, 849, 850], "recurs": [17, 26, 27, 40, 42, 47, 69, 70, 161, 162, 194, 195, 369, 438, 538, 539, 545, 617, 618, 621, 628, 705, 706, 709, 715, 716, 717, 758, 805, 808, 811, 812, 819, 822, 825, 838, 840], "oper": [17, 18, 21, 22, 23, 24, 26, 27, 28, 32, 39, 42, 48, 49, 51, 52, 53, 56, 69, 71, 72, 74, 75, 76, 79, 98, 113, 132, 133, 175, 205, 213, 218, 220, 229, 232, 235, 242, 257, 259, 268, 269, 273, 277, 280, 285, 296, 304, 324, 325, 326, 357, 360, 362, 367, 368, 371, 382, 383, 384, 386, 387, 388, 394, 395, 396, 400, 404, 405, 406, 407, 409, 410, 412, 414, 415, 478, 480, 526, 533, 534, 535, 582, 613, 616, 617, 618, 619, 621, 623, 624, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 649, 676, 678, 750, 752, 763, 766, 779, 793, 799, 804, 805, 807, 808, 809, 812, 814, 815, 816, 817, 818, 822, 825, 826, 829, 832, 834, 837, 838, 842, 844, 848, 851, 852, 853, 854, 855, 856, 858, 859, 860, 861, 862], "fashion": [17, 765, 829, 849], "native_arrai": [17, 26, 27, 48, 49, 51, 71, 73, 74, 75, 76, 80, 87, 105, 108, 131, 134, 136, 138, 144, 147, 148, 149, 150, 158, 163, 170, 192, 201, 209, 225, 229, 234, 235, 236, 238, 242, 246, 254, 255, 263, 268, 271, 274, 277, 282, 329, 330, 356, 365, 370, 371, 447, 473, 479, 483, 522, 525, 552, 553, 556, 586, 613, 616, 617, 618, 619, 621, 623, 624, 625, 626, 630, 631, 634, 635, 637, 638, 645, 652, 655, 659, 660, 666, 667, 671, 675, 676, 678, 681, 683, 685, 686, 693, 725, 734, 743, 749, 752, 754, 760, 770, 788, 802, 819, 827, 829], "data_class": [17, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 102, 387, 388, 533, 537, 674, 699], "low": [17, 26, 29, 45, 52, 56, 61, 75, 79, 84, 368, 410, 414, 623, 630, 636, 637, 638, 639, 641, 643, 645, 726, 728, 765, 812, 818, 825, 826, 832, 834, 851, 853, 855, 856, 857, 859, 861], "level": [17, 26, 27, 29, 52, 75, 76, 369, 438, 525, 793, 799, 800, 804, 805, 806, 812, 814, 818, 822, 824, 825, 826, 828, 831, 832, 833, 834, 837, 838, 839, 840, 842, 846, 851, 852, 853, 854, 855, 856, 857, 859, 860, 861, 862], "c": [17, 26, 32, 41, 42, 48, 52, 53, 54, 56, 59, 65, 71, 72, 74, 75, 76, 77, 79, 80, 82, 86, 88, 92, 93, 111, 122, 123, 133, 136, 160, 163, 218, 229, 235, 236, 256, 257, 259, 268, 271, 279, 286, 368, 369, 371, 374, 380, 382, 383, 384, 395, 400, 416, 418, 420, 421, 423, 433, 451, 452, 453, 463, 481, 489, 490, 491, 494, 512, 525, 533, 534, 535, 536, 544, 548, 549, 587, 602, 603, 606, 608, 609, 610, 613, 616, 617, 619, 621, 622, 623, 624, 626, 628, 631, 632, 634, 637, 638, 639, 640, 641, 642, 644, 658, 660, 662, 693, 697, 705, 708, 712, 713, 714, 716, 717, 722, 723, 734, 739, 745, 746, 751, 753, 782, 792, 793, 800, 805, 807, 810, 811, 812, 816, 822, 824, 833, 834, 835, 837, 840, 842, 843, 845, 846, 849, 851, 855, 859, 860, 862], "fundament": [17, 26, 813, 826, 832, 834, 844, 855], "common": [17, 20, 26, 30, 51, 52, 69, 74, 174, 245, 253, 333, 339, 365, 617, 619, 800, 802, 804, 805, 811, 814, 815, 816, 822, 823, 826, 830, 832, 840, 844, 852, 855, 862], "signatur": [17, 26, 371, 380, 473, 510, 814, 815, 816, 817, 821, 825, 829, 830, 832, 845, 852, 861], "matmul": [17, 26, 27, 43, 57, 80, 369, 436, 601, 621, 624, 674, 810, 829, 830, 834], "to_n": [17, 26, 27, 38, 47, 70, 834], "jaxlib": [17, 23, 41, 788, 805, 809, 814, 815, 821, 830, 834, 836], "xla_extens": [17, 23, 788, 809, 814, 815, 821, 830, 834, 836], "arrayimpl": [17, 23, 788], "abov": [17, 22, 26, 27, 32, 33, 48, 51, 52, 57, 61, 68, 74, 75, 80, 84, 93, 113, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 305, 307, 322, 323, 329, 330, 332, 335, 360, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 401, 404, 405, 406, 411, 412, 413, 421, 422, 473, 481, 510, 513, 540, 544, 546, 548, 550, 587, 611, 613, 616, 617, 619, 621, 622, 623, 624, 626, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 726, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 802, 804, 805, 806, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 822, 824, 825, 826, 827, 829, 832, 834, 836, 837, 838, 839, 855, 860], "why": [17, 799, 806, 825, 836, 843, 845], "underli": [17, 26, 27, 38, 52, 59, 75, 82, 95, 225, 228, 230, 265, 370, 371, 446, 463, 619, 624, 626, 672, 693, 812, 825, 832, 848, 855], "disabl": [17, 26, 52, 75, 371, 481, 781, 811], "array_mod": [17, 26, 566, 589, 621, 831], "set_array_mod": [17, 26, 589, 621, 831], "composit": [17, 26, 161, 162, 194, 195, 287, 369, 428, 538, 539, 617, 618, 619, 621, 764, 766, 804, 807, 809, 810, 812, 814, 815, 823, 825, 826, 827, 829, 832, 834, 838, 839, 840, 842, 848, 856], "ultim": [17, 26, 848], "sigmoid": [17, 26, 27, 38, 46, 52, 68, 75, 295, 360, 375, 496, 613, 775, 834, 837, 838], "z": [17, 26, 27, 39, 40, 48, 51, 52, 53, 57, 58, 61, 63, 65, 71, 74, 75, 76, 80, 81, 82, 84, 88, 97, 98, 132, 133, 135, 136, 196, 218, 219, 223, 225, 228, 230, 235, 246, 247, 250, 251, 252, 254, 255, 260, 262, 264, 265, 266, 267, 275, 284, 294, 295, 329, 330, 332, 360, 365, 370, 380, 442, 444, 445, 446, 447, 448, 454, 458, 469, 509, 510, 513, 520, 525, 537, 540, 541, 548, 549, 565, 578, 579, 580, 588, 601, 616, 618, 619, 621, 624, 625, 626, 628, 630, 631, 632, 634, 654, 664, 669, 670, 674, 681, 683, 684, 685, 686, 708, 712, 714, 722, 726, 727, 728, 731, 736, 746, 747, 749, 750, 751, 778, 799, 810, 812, 815, 816, 834, 836, 848], "divid": [17, 22, 26, 27, 43, 51, 52, 53, 59, 69, 74, 75, 82, 97, 98, 242, 374, 443, 489, 490, 491, 494, 579, 619, 621, 626, 695, 809, 812, 816, 820, 829], "exp": [17, 26, 27, 51, 52, 74, 75, 111, 113, 240, 260, 273, 295, 360, 368, 370, 395, 400, 446, 613, 619, 624, 672, 824, 826], "high": [17, 26, 27, 45, 52, 56, 61, 75, 79, 84, 368, 410, 414, 573, 621, 623, 630, 636, 637, 638, 639, 641, 643, 645, 726, 728, 765, 804, 818, 824, 826, 837, 842, 846, 851, 852, 853, 854, 855, 859, 861, 862], "network": [17, 24, 26, 27, 38, 40, 45, 623, 647, 775, 778, 779, 799, 812, 822, 834, 838, 845, 849, 851, 853, 854, 855, 859, 861, 862], "entir": [17, 26, 27, 29, 42, 52, 65, 66, 69, 75, 76, 88, 89, 208, 238, 240, 280, 281, 329, 330, 365, 368, 371, 380, 391, 392, 393, 473, 513, 546, 618, 619, 634, 635, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 793, 804, 805, 806, 808, 809, 812, 814, 816, 818, 825, 826, 827, 829, 832, 834, 837, 838, 839, 840, 845, 846, 849, 855, 861, 862], "further": [17, 69, 98, 765, 806, 808, 809, 813, 816, 818, 821, 822, 825, 826, 828, 829, 833, 834, 837, 838, 845, 846, 860, 861], "congratul": [17, 23], "There": [17, 24, 27, 32, 92, 361, 363, 364, 372, 373, 377, 765, 799, 804, 805, 806, 808, 809, 811, 812, 814, 815, 816, 818, 820, 822, 824, 826, 827, 831, 834, 837, 840, 844, 848, 856, 857, 861, 862], "come": [17, 40, 804, 805, 806, 809, 813, 826, 831, 832, 838, 842, 855], "independ": [17, 27, 52, 61, 75, 84, 218, 235, 268, 278, 374, 375, 494, 496, 619, 624, 630, 654, 673, 725, 799, 808, 814, 816, 823, 834, 839, 849, 853], "good": [17, 26, 27, 799, 803, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 827, 829, 830, 832, 834, 835, 838], "foundat": [17, 845, 858], "power": [17, 26, 27, 51, 52, 53, 57, 74, 75, 76, 80, 97, 98, 229, 238, 239, 273, 327, 339, 362, 365, 368, 415, 570, 580, 592, 619, 621, 624, 628, 666, 679, 711, 778, 831, 836, 837, 838, 855, 857, 861], "defin": [18, 24, 26, 27, 28, 48, 52, 53, 57, 71, 75, 76, 80, 95, 111, 136, 140, 141, 142, 218, 235, 242, 268, 269, 277, 279, 282, 294, 298, 302, 308, 311, 312, 313, 322, 323, 324, 325, 326, 329, 330, 332, 360, 362, 365, 368, 369, 371, 380, 403, 420, 473, 479, 513, 548, 549, 569, 613, 616, 619, 621, 624, 634, 654, 659, 660, 673, 747, 748, 749, 751, 799, 804, 805, 809, 810, 813, 814, 817, 821, 824, 826, 827, 829, 830, 836, 838, 840, 842, 850, 852, 853, 854, 855, 856, 859, 861, 862], "div": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 850], "sub": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 52, 57, 59, 69, 70, 74, 75, 76, 80, 82, 98, 267, 369, 371, 380, 422, 459, 468, 487, 516, 517, 545, 621, 624, 626, 627, 657, 678, 695, 702, 703, 704, 804, 806, 807, 812, 818, 826, 827, 829, 836, 837, 838, 850, 851], "By": [18, 38, 45, 52, 58, 59, 65, 66, 75, 81, 82, 88, 89, 282, 327, 329, 330, 342, 349, 362, 365, 368, 370, 371, 378, 380, 390, 445, 446, 481, 503, 510, 513, 568, 619, 621, 624, 625, 626, 634, 635, 654, 680, 683, 692, 744, 747, 748, 749, 750, 751, 752, 753, 754, 755, 805, 810, 814, 816, 818, 822, 824, 825, 826, 834, 838, 839, 848], "uniform": [18, 19, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 40, 52, 61, 75, 84, 380, 513, 630, 725, 726, 728, 778, 799, 828, 838, 849, 850, 862], "x_": [18, 28, 93, 279, 619, 850], "82997245": 18, "44733784": 18, "32163444": 18, "93330479": 18, "52438271": 18, "20438017": 18, "252316": 18, "0827222": 18, "26017165": 18, "88881904": 18, "compat": [18, 24, 28, 32, 38, 45, 51, 52, 57, 59, 62, 65, 66, 74, 75, 80, 82, 85, 88, 89, 97, 98, 149, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 289, 329, 330, 365, 617, 619, 624, 626, 631, 634, 635, 654, 667, 670, 673, 676, 680, 681, 693, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 805, 810, 821, 826, 827, 830, 834, 840, 845], "sever": [18, 19, 28, 29, 31, 32, 33, 52, 75, 92, 368, 369, 382, 383, 384, 434, 763, 805, 806, 830, 840, 853, 859], "pro": [18, 19, 20, 28, 29, 30, 31, 32, 33], "pick": [19, 29, 778], "off": [19, 29, 56, 57, 79, 80, 391, 392, 393, 623, 624, 646, 657, 678, 778, 779, 805, 819, 833, 846, 848, 861], "last": [19, 24, 26, 29, 48, 52, 56, 57, 58, 59, 62, 64, 65, 66, 69, 71, 75, 79, 80, 81, 82, 87, 88, 89, 93, 97, 132, 133, 136, 191, 307, 335, 362, 365, 368, 369, 370, 371, 378, 380, 396, 401, 411, 412, 413, 424, 445, 463, 473, 475, 481, 503, 511, 512, 616, 618, 623, 624, 625, 626, 631, 633, 634, 635, 648, 649, 654, 657, 669, 678, 680, 684, 685, 687, 690, 693, 694, 695, 697, 731, 732, 740, 742, 743, 744, 745, 754, 755, 779, 788, 799, 806, 808, 810, 811, 814, 816, 825, 827, 829, 832, 834, 840, 846, 849, 855], "purpos": [19, 26, 27, 29, 40, 42, 142, 240, 258, 322, 362, 616, 619, 624, 672, 806, 807, 809, 812, 813, 815, 816, 818, 821, 822, 823, 826, 828, 829, 832, 833, 836, 842, 854, 856, 859, 860, 861], "illustr": [19, 29, 810, 834], "trigger": [19, 29, 781, 804, 820], "unif": [19, 21, 22, 29, 31, 800, 836, 845, 851, 861], "detail": [19, 29, 42, 46, 51, 52, 57, 59, 63, 68, 74, 75, 76, 80, 82, 86, 105, 106, 107, 108, 109, 110, 111, 112, 113, 128, 139, 286, 290, 294, 295, 297, 360, 369, 418, 458, 536, 613, 616, 619, 632, 657, 664, 670, 674, 697, 736, 737, 738, 739, 775, 799, 804, 806, 808, 810, 811, 812, 813, 820, 821, 822, 823, 826, 827, 828, 829, 830, 831, 834, 836, 837, 838, 857, 861], "55563945": 19, "65538704": 19, "14150524": 19, "46951997": 19, "30220294": 19, "14739668": 19, "57017946": 19, "91962677": 19, "51029003": 19, "59644395": 19, "arbitrari": [19, 29, 48, 49, 52, 69, 72, 75, 134, 148, 175, 316, 370, 443, 451, 452, 453, 604, 616, 617, 622, 821, 822, 824, 825, 826, 829, 838, 840, 848, 850, 856, 861], "constitu": [19, 29, 69, 839], "due": [19, 26, 27, 29, 43, 45, 268, 278, 371, 481, 619, 805, 808, 813, 818, 825, 826, 845, 848, 849, 855], "manner": [19, 27, 29, 39, 47, 70, 628, 717, 805, 814, 815, 817, 822, 826, 830, 837, 840, 844, 851, 853, 861, 862], "non": [19, 29, 49, 51, 52, 57, 61, 62, 65, 66, 72, 74, 75, 80, 84, 85, 88, 89, 129, 147, 165, 174, 243, 263, 264, 269, 329, 330, 334, 340, 353, 365, 368, 369, 371, 380, 411, 422, 426, 430, 452, 453, 513, 516, 616, 617, 619, 624, 628, 630, 631, 634, 635, 654, 655, 665, 667, 674, 676, 680, 681, 718, 727, 731, 732, 733, 734, 747, 748, 749, 750, 751, 753, 754, 755, 763, 778, 780, 781, 783, 809, 812, 816, 834, 848, 849, 850, 855], "5556394": 19, "655387": 19, "1415051": 19, "4695197": 19, "3022028": 19, "1473966": 19, "5701794": 19, "91962665": 19, "51028997": 19, "5964439": 19, "assess": [19, 29, 804, 832], "985": 19, "000": [19, 74, 269, 763, 802, 813, 819], "69": [19, 38, 45, 51, 77, 84, 216, 258, 368, 389, 399, 606, 619, 622, 624, 665, 666, 727, 829, 837], "slower": [19, 826], "On": [19, 26, 27, 805, 814, 815, 820, 826, 829, 832, 835, 839], "hand": [19, 51, 369, 436, 763, 799, 808, 814, 815, 820, 822, 829, 840], "singl": [19, 29, 38, 43, 51, 61, 69, 74, 84, 93, 287, 344, 365, 369, 375, 433, 497, 587, 600, 604, 619, 621, 622, 623, 630, 632, 649, 726, 727, 728, 736, 763, 779, 804, 805, 806, 808, 813, 816, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 837, 838, 839, 840, 846], "learnt": [20, 30], "two": [20, 30, 32, 38, 48, 52, 57, 63, 75, 76, 80, 97, 98, 118, 121, 127, 134, 140, 141, 142, 173, 181, 229, 243, 244, 278, 322, 323, 328, 340, 341, 343, 344, 346, 348, 355, 362, 365, 368, 369, 370, 371, 380, 396, 419, 420, 421, 433, 443, 447, 452, 473, 479, 483, 510, 520, 525, 615, 616, 617, 619, 621, 624, 626, 632, 653, 655, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 680, 698, 736, 737, 738, 739, 763, 765, 771, 779, 804, 805, 808, 809, 814, 815, 816, 817, 822, 826, 827, 829, 832, 833, 837, 839, 846, 852, 860], "workflow": [20, 30, 41, 804, 806, 810, 814, 824, 826, 837, 842, 846, 854, 861, 862], "ivy_norm": 20, "jax_norm": [20, 26, 27], "wider": [20, 30, 573, 595, 621, 814, 831, 861], "avoid": [20, 30, 32, 52, 59, 75, 235, 240, 242, 258, 268, 370, 371, 374, 443, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 489, 490, 491, 527, 543, 545, 568, 573, 595, 619, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 765, 766, 805, 806, 810, 811, 812, 813, 814, 818, 823, 826, 829, 830, 831, 832, 855], "conveni": [20, 30, 804, 814, 815, 821, 827, 835, 837, 838, 842, 861], "act": [20, 30, 52, 75, 356, 366, 806, 816, 831, 840, 862], "shorthand": [20, 30, 32, 829], "pair": [20, 30, 40, 52, 56, 75, 79, 223, 242, 314, 355, 362, 365, 368, 401, 410, 412, 414, 619, 623, 624, 636, 637, 638, 639, 641, 643, 645, 652, 654, 793], "93968587": 20, "26075466": 20, "22723222": 20, "06276492": 20, "47426987": 20, "72835908": 20, "71737559": 20, "50411096": 20, "65419174": 20, "15576624": 20, "implic": [20, 30, 31, 34, 812], "requir": [21, 22, 23, 24, 31, 40, 41, 42, 45, 51, 52, 69, 74, 75, 269, 282, 286, 369, 371, 421, 422, 473, 619, 624, 626, 658, 659, 660, 697, 763, 771, 776, 793, 801, 804, 805, 809, 811, 813, 814, 815, 816, 817, 818, 820, 821, 823, 826, 827, 828, 829, 830, 832, 834, 836, 840, 849, 855, 861], "satisfi": [21, 22, 23, 24, 40, 42, 45, 52, 368, 369, 390, 422, 814, 816], "opt": [21, 22, 23, 24, 44, 805, 810, 814, 825, 829, 832], "fw": [21, 22, 23, 24, 56, 79, 380, 510, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 760, 805, 829], "mxnet": [21, 22, 23, 24, 788, 804, 805, 845, 862], "26": [21, 22, 23, 24, 38, 40, 42, 45, 51, 52, 60, 61, 75, 76, 77, 84, 230, 235, 281, 368, 369, 389, 425, 433, 548, 602, 619, 621, 622, 623, 624, 628, 629, 634, 645, 657, 669, 676, 706, 724, 726, 727, 746], "einop": [21, 22, 23, 24, 40, 42, 45, 53, 76, 533, 534, 535, 621, 814, 845], "miniconda": [21, 22, 23, 24], "env": [21, 22, 23, 24], "multienv": [21, 22, 23, 24], "site": [21, 22, 23, 24, 856], "psutil": [21, 22, 23, 24, 40, 42, 45], "termcolor": [21, 22, 23, 24, 40, 42, 45, 69, 98], "colorama": [21, 22, 23, 24, 40, 42], "nvidia": [21, 22, 23, 24, 40, 42, 45, 859, 860], "535": [21, 22, 23, 24, 46, 68, 113, 613, 818], "diskcach": [21, 22, 23, 24, 40], "auth": [21, 22, 23, 24], "urllib3": [21, 22, 23, 24, 40], "pyvi": [21, 22, 23, 24, 26, 27], "dill": [21, 22, 23, 24, 40], "astunpars": [21, 22, 23, 24], "cloudpickl": [21, 22, 23, 24], "gast": [21, 22, 23, 24], "66": [21, 22, 23, 24, 38, 40, 42, 65, 75, 76, 77, 368, 399, 533, 534, 606, 621, 622, 624, 634, 669, 746], "wheel": [21, 22, 23, 24, 40, 42, 45, 844], "six": [21, 22, 23, 24, 40, 45, 805, 832], "cachetool": [21, 22, 23, 24], "pyasn1": [21, 22, 23, 24], "rsa": [21, 22, 23, 24], "jinja2": [21, 22, 23, 24], "jsonpickl": [21, 22, 23, 24], "networkx": [21, 22, 23, 24, 45], "charset": [21, 22, 23, 24, 40], "idna": [21, 22, 23, 24, 40], "certifi": [21, 22, 23, 24, 40], "2017": [21, 22, 23, 24, 40, 623, 649], "jedi": [21, 22, 23, 24], "inlin": [21, 22, 23, 24, 811], "prompt": [21, 22, 23, 24, 804, 806], "toolkit": [21, 22, 23, 24, 855, 856, 862], "pygment": [21, 22, 23, 24], "traitlet": [21, 22, 23, 24], "exceptiongroup": [21, 22, 23, 24], "paddl": [21, 22, 23, 24, 329, 330, 365, 776, 788, 804, 805, 814, 819], "pexpect": [21, 22, 23, 24], "markupsaf": [21, 22, 23, 24], "parso": [21, 22, 23, 24], "ptyprocess": [21, 22, 23, 24], "wcwidth": [21, 22, 23, 24], "asttoken": [21, 22, 23, 24], "pure": [21, 22, 23, 24, 32, 42, 799, 817, 821, 826, 832, 836, 839, 840, 855, 861, 862], "eagerli": [21, 22, 26, 27, 31, 32, 33, 40, 799, 848, 849, 850], "lazili": [21, 22, 23, 26, 27, 31, 33, 44, 799, 848, 849, 850], "actual": [21, 31, 802, 806, 807, 813, 819, 822, 823, 825, 826, 827, 829, 832, 833, 838, 840, 856, 861], "occur": [21, 26, 27, 31, 44, 49, 51, 63, 72, 74, 86, 150, 269, 285, 617, 619, 631, 632, 731, 732, 736, 737, 738, 739, 808, 813, 815, 818, 831], "becaus": [21, 29, 31, 41, 52, 368, 390, 758, 805, 806, 808, 809, 810, 811, 812, 814, 815, 817, 818, 819, 821, 822, 823, 824, 825, 826, 827, 829, 832, 834, 838, 839, 840, 855, 858, 861], "argument": [21, 23, 24, 26, 27, 29, 31, 32, 33, 38, 40, 42, 44, 47, 48, 51, 52, 53, 57, 69, 70, 74, 75, 76, 92, 93, 98, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 337, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 399, 400, 401, 404, 405, 406, 411, 413, 415, 422, 473, 481, 510, 513, 517, 523, 524, 526, 527, 532, 534, 535, 540, 544, 546, 548, 550, 560, 564, 565, 582, 587, 588, 601, 611, 616, 617, 619, 621, 622, 623, 624, 626, 627, 628, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 704, 711, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 764, 771, 776, 779, 780, 781, 788, 792, 795, 799, 804, 807, 808, 809, 810, 811, 812, 816, 817, 820, 822, 827, 829, 830, 832, 834, 836, 837, 842, 844, 848, 849, 850, 855], "altern": [21, 31, 41, 52, 75, 80, 92, 93, 328, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 365, 799, 804, 805, 811, 825, 837, 858], "dummi": [21, 22, 31, 32, 33, 39, 806], "seed": [21, 22, 42, 43, 52, 56, 61, 63, 69, 75, 79, 84, 317, 318, 319, 320, 321, 362, 369, 375, 426, 435, 441, 496, 497, 498, 499, 500, 623, 630, 632, 646, 725, 726, 727, 728, 730, 736, 771, 776, 778, 793, 823, 827, 829], "assum": [21, 22, 31, 32, 33, 48, 51, 52, 53, 56, 57, 58, 74, 75, 76, 79, 80, 81, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 307, 323, 329, 330, 332, 335, 352, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 434, 436, 473, 481, 510, 513, 540, 544, 546, 548, 557, 587, 611, 616, 617, 619, 621, 622, 623, 624, 625, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 683, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 792, 799, 805, 808, 810, 813, 814, 817, 827, 829, 832, 836, 837, 840], "201733": 21, "core": [21, 22, 24, 40, 41, 42, 44, 45, 52, 75, 92, 95, 199, 369, 426, 435, 440, 441, 618, 805, 815, 819, 829, 839, 844, 853, 854, 855, 856, 860, 862], "cpu_feature_guard": [21, 22, 24], "182": [21, 22, 24, 75], "instruct": [21, 22, 24, 69, 98, 799, 804, 805, 808, 818, 820, 827, 829, 841, 853, 856, 859, 861], "critic": [21, 22, 24, 26, 27, 855, 861], "avx2": [21, 22, 24], "fma": [21, 22, 24], "rebuild": [21, 22, 24, 69, 98], "flag": [21, 22, 24, 69, 191, 370, 380, 443, 510, 618, 623, 649, 760, 771, 782, 806, 814, 815, 825, 826, 827, 829, 848, 849], "slowli": [21, 31], "norm": [21, 31, 32, 52, 53, 57, 75, 76, 80, 91, 92, 368, 369, 389, 390, 394, 395, 396, 399, 400, 401, 411, 412, 418, 422, 492, 493, 495, 528, 529, 550, 621, 624, 665, 681, 724, 779, 783, 830], "slow": [21, 31, 801, 805, 811], "34431235": [21, 22], "51129461": [21, 22], "06686894": [21, 22], "36452447": [21, 22], "98795534": [21, 22], "15493582": [21, 22], "91630631": [21, 22], "41939619": [21, 22], "78909753": [21, 22], "19475674": [21, 22], "norm_trac": 21, "float64": [21, 22, 49, 52, 61, 65, 71, 72, 74, 75, 76, 84, 88, 121, 129, 130, 147, 150, 154, 155, 160, 161, 164, 165, 170, 171, 175, 177, 178, 184, 187, 269, 339, 365, 370, 380, 446, 510, 559, 616, 617, 621, 624, 630, 659, 660, 665, 681, 727, 728, 745, 760, 763, 764, 814, 827, 829], "norm_tran": [21, 31], "know": [21, 22, 31, 32, 33, 63, 632, 736, 737, 738, 739, 801, 804, 806, 815, 823, 827, 829, 832, 846, 850, 856], "07": [22, 40, 42, 54, 58, 74, 77, 81, 84, 223, 256, 259, 260, 279, 368, 399, 592, 602, 603, 605, 606, 607, 608, 619, 621, 622, 625, 684, 685, 727, 780, 783, 838], "981554": 22, "happen": [22, 26, 27, 287, 619, 799, 805, 806, 815, 825, 829, 837, 846, 848, 849], "wherea": [22, 33, 75, 368, 413, 806, 809, 812, 814, 815, 816, 821, 822, 829, 839, 852], "subtract": [22, 26, 27, 51, 74, 97, 98, 129, 371, 473, 616, 619, 809, 812, 816], "begin": [22, 52, 75, 279, 371, 457, 473, 474, 475, 476, 477, 619, 628, 705, 716, 763, 805, 808, 813, 827], "filelock": [23, 40], "extens": [23, 40, 51, 57, 74, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 803, 805, 806, 817, 819, 820, 829, 852, 855, 862], "sympi": [23, 845], "fsspec": [23, 40], "mpmath": 23, "scenario": [23, 814, 824], "often": [23, 803, 808, 818, 821, 822, 826, 829, 840, 846, 856, 859, 862], "fortun": [23, 24, 808], "everyth": [23, 41, 792, 799, 804, 805, 806, 807, 813, 816, 825, 826, 827, 829, 835, 840, 841, 846], "practic": [23, 806, 810, 813, 826, 828, 858], "specifi": [23, 24, 26, 27, 31, 32, 33, 44, 46, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 68, 69, 72, 74, 75, 76, 79, 80, 81, 82, 84, 85, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 125, 130, 132, 137, 140, 141, 143, 147, 149, 196, 201, 203, 207, 208, 209, 277, 286, 290, 294, 295, 297, 323, 328, 344, 349, 360, 362, 365, 368, 369, 370, 371, 375, 380, 386, 387, 388, 390, 396, 401, 411, 412, 413, 414, 422, 432, 434, 439, 445, 446, 447, 449, 463, 466, 475, 476, 478, 479, 481, 497, 508, 510, 511, 512, 515, 516, 520, 523, 540, 541, 543, 545, 546, 559, 561, 569, 601, 613, 616, 617, 618, 619, 621, 623, 624, 625, 626, 628, 630, 631, 632, 633, 634, 635, 649, 652, 654, 656, 657, 659, 660, 665, 673, 676, 678, 679, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 694, 696, 697, 700, 701, 709, 710, 712, 713, 720, 721, 722, 723, 726, 727, 728, 730, 731, 732, 734, 737, 738, 739, 740, 744, 745, 746, 750, 752, 754, 755, 763, 766, 775, 779, 780, 781, 793, 805, 807, 811, 814, 815, 821, 822, 823, 825, 826, 827, 829, 834, 837, 838, 848, 849, 850, 861], "everi": [23, 26, 27, 32, 40, 48, 52, 53, 75, 76, 130, 131, 295, 329, 330, 342, 360, 365, 368, 371, 404, 405, 406, 413, 486, 522, 616, 621, 804, 806, 808, 810, 811, 813, 814, 816, 820, 821, 822, 823, 825, 826, 827, 829, 834, 836, 838, 848, 849, 850, 855], "jax_kornia": [23, 26, 27, 799, 849], "though": [23, 803, 804, 806, 814, 815, 817, 822, 825, 826, 832, 837, 840], "comput": [23, 24, 26, 27, 33, 34, 39, 40, 42, 46, 51, 52, 53, 54, 56, 57, 58, 63, 65, 68, 69, 74, 75, 76, 77, 79, 80, 81, 88, 92, 93, 95, 108, 112, 208, 218, 225, 228, 230, 235, 236, 237, 242, 243, 244, 246, 247, 253, 254, 255, 262, 263, 264, 265, 267, 268, 271, 276, 277, 294, 298, 302, 308, 311, 312, 324, 325, 326, 329, 330, 332, 336, 340, 342, 343, 347, 349, 354, 355, 356, 357, 358, 359, 360, 362, 365, 366, 367, 368, 369, 370, 371, 374, 378, 380, 386, 387, 388, 389, 390, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 410, 411, 412, 415, 416, 418, 420, 421, 422, 423, 425, 426, 428, 431, 433, 435, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 467, 470, 483, 489, 491, 502, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 527, 528, 529, 573, 595, 602, 604, 605, 607, 611, 612, 618, 619, 621, 622, 623, 624, 625, 626, 628, 632, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 647, 653, 654, 658, 659, 660, 663, 664, 665, 667, 669, 671, 673, 674, 676, 678, 680, 681, 683, 684, 685, 689, 711, 736, 737, 738, 739, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 760, 765, 779, 782, 793, 799, 805, 812, 813, 814, 822, 824, 826, 829, 831, 832, 834, 837, 840, 842, 845, 846, 848, 849, 851, 853, 855, 856, 858, 859, 861], "000000000034": [23, 26, 27, 799, 849], "raw_img": [23, 26, 27, 799, 849], "enhanc": [23, 26, 27, 799, 828, 849], "sharp": [23, 26, 27, 799], "prefer": [23, 26, 27, 242, 619, 799, 805, 812, 818, 819, 823, 826, 841, 855], "leverag": [23, 26, 27, 799, 805, 825, 849, 853, 855], "whole": [24, 52, 75, 371, 374, 480, 492, 493, 495, 806, 811, 820], "full": [24, 52, 57, 75, 79, 80, 92, 93, 95, 160, 247, 255, 317, 318, 319, 320, 321, 362, 369, 370, 371, 439, 440, 445, 446, 474, 477, 567, 576, 590, 598, 616, 617, 619, 621, 623, 624, 638, 640, 641, 642, 644, 667, 671, 673, 674, 764, 771, 799, 805, 806, 811, 814, 817, 818, 821, 822, 826, 829, 832, 834, 840, 845, 846, 853, 855, 861], "advantag": [24, 26, 27, 799, 805, 806, 814, 825, 826, 841, 849, 855], "complex": [24, 26, 27, 40, 46, 51, 52, 57, 65, 68, 72, 74, 75, 80, 88, 105, 106, 107, 108, 109, 110, 111, 112, 113, 137, 138, 153, 167, 176, 182, 215, 216, 217, 218, 219, 220, 221, 224, 232, 233, 235, 236, 238, 240, 248, 249, 250, 251, 252, 256, 257, 258, 259, 268, 270, 271, 273, 275, 278, 279, 280, 281, 282, 285, 286, 290, 294, 295, 297, 332, 337, 360, 365, 368, 369, 380, 390, 401, 411, 412, 416, 421, 422, 423, 432, 434, 518, 519, 579, 580, 613, 616, 617, 619, 621, 624, 631, 634, 658, 659, 660, 665, 672, 674, 676, 678, 681, 734, 749, 750, 752, 764, 775, 793, 804, 811, 814, 816, 823, 826, 829, 830, 832, 837, 838, 839, 840, 842, 849, 851, 853, 855, 857, 861, 862], "neccessari": 24, "set_random_se": [24, 43], "manual_se": 24, "301436": 24, "_c": 24, "0x7f252c392390": 24, "convolut": [24, 52, 56, 75, 79, 368, 388, 406, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 765, 779, 849, 853, 855], "flatten": [24, 26, 27, 40, 42, 45, 52, 53, 57, 59, 62, 63, 75, 76, 80, 82, 85, 86, 334, 349, 365, 369, 371, 380, 419, 462, 472, 476, 481, 482, 486, 508, 515, 516, 517, 518, 519, 520, 533, 537, 621, 624, 626, 631, 632, 661, 669, 681, 687, 692, 694, 731, 732, 736, 737, 738, 739, 758, 760, 799, 825, 832], "keyword": [24, 26, 27, 42, 44, 47, 48, 52, 69, 75, 98, 134, 269, 368, 371, 380, 415, 473, 510, 524, 527, 560, 588, 616, 619, 621, 624, 628, 634, 675, 711, 752, 758, 760, 764, 780, 781, 792, 804, 809, 812, 814, 815, 823, 825, 826, 827, 829, 830, 832, 837, 848, 849, 850], "input_arrai": [24, 26, 27, 825], "torch_model": [24, 26, 27, 44], "159": [24, 68, 105, 613, 623, 647], "state_upd": 24, "properti": [24, 69, 92, 93, 94, 95, 96, 97, 101, 781, 783, 808, 812, 822, 827, 829, 836, 837, 838, 861], "_transpil": 24, "thank": [24, 837, 845], "fledg": [24, 805, 834, 835], "rand": [24, 26, 27, 42, 792, 793, 799, 848], "output_arrai": [24, 26, 27, 52, 443], "0893": 24, "1504": 24, "1372": 24, "0991": 24, "0867": 24, "0851": 24, "0911": 24, "0804": 24, "0926": 24, "0881": 24, "softmaxbackward0": 24, "furthermor": 24, "relat": [24, 242, 619, 799, 801, 803, 804, 805, 806, 811, 818, 826, 829, 830, 831, 832, 849, 858], "interest": [24, 26, 38, 235, 268, 619, 804, 806], "continu": [24, 26, 27, 42, 120, 282, 290, 360, 615, 619, 799, 803, 804, 805, 807, 808, 819, 825, 828, 829, 840, 845, 846, 855], "regress": [25, 855, 862], "checkout": [26, 41, 806, 808, 829], "f705efe7cb5d18df17ce6c1e20f04d0eb4933f48": 26, "theoret": 26, "aspect": [26, 27, 800, 824, 837, 855], "switch": [26, 38, 771, 810, 818, 822, 823, 862], "easiest": [26, 799, 801, 805, 841], "defer": [26, 27, 804, 809, 814, 815, 822, 825, 826, 829, 861], "similarli": [26, 39, 134, 142, 218, 322, 329, 330, 362, 365, 616, 619, 810, 814, 826, 832, 836, 861], "obtain": [26, 27, 45, 52, 75, 313, 362, 368, 407, 623, 649, 765, 826, 848], "essenc": [26, 856, 861], "becom": [26, 52, 75, 92, 339, 365, 371, 453, 626, 686, 788, 806, 812, 814, 816, 818, 825, 840, 844, 846, 848], "regardless": [26, 27, 38, 69, 800, 814, 818, 836, 839, 846], "being": [26, 27, 38, 52, 69, 75, 90, 97, 101, 121, 369, 371, 430, 457, 473, 574, 616, 621, 624, 660, 760, 766, 778, 799, 805, 806, 808, 809, 810, 812, 814, 815, 816, 819, 821, 823, 825, 826, 827, 829, 830, 832, 834, 837, 840, 845, 846, 851, 853, 854, 855, 856, 861, 862], "slide": [26, 52, 56, 75, 79, 368, 386, 387, 388, 404, 405, 406, 407, 410, 414, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779], "A": [26, 27, 41, 48, 49, 52, 53, 59, 61, 65, 66, 69, 72, 74, 75, 76, 79, 80, 82, 84, 86, 89, 92, 93, 98, 117, 118, 120, 127, 135, 142, 148, 189, 208, 270, 272, 276, 307, 318, 322, 324, 325, 326, 328, 341, 344, 348, 349, 362, 365, 368, 369, 370, 371, 374, 375, 380, 383, 396, 410, 413, 415, 422, 433, 436, 443, 447, 458, 461, 479, 483, 484, 489, 490, 491, 492, 496, 497, 498, 499, 500, 508, 517, 520, 525, 527, 536, 545, 548, 549, 579, 580, 581, 584, 612, 615, 616, 617, 618, 619, 621, 622, 623, 624, 626, 628, 630, 634, 635, 646, 649, 657, 659, 662, 663, 668, 669, 673, 674, 686, 689, 691, 695, 697, 705, 708, 710, 712, 713, 714, 715, 716, 720, 721, 722, 723, 725, 726, 727, 728, 730, 736, 746, 754, 755, 758, 760, 761, 763, 764, 765, 766, 771, 778, 793, 797, 799, 803, 804, 805, 807, 812, 814, 815, 818, 821, 822, 826, 827, 829, 834, 837, 840, 841, 842, 843, 844, 845, 846, 848, 849, 850, 855, 856], "regressor": [26, 27, 799], "input_dim": [26, 27, 41, 799], "output_dim": [26, 27, 41, 799], "linear0": [26, 27, 38, 799, 837, 838], "linear1": [26, 27, 38, 799, 837, 838], "instanti": [26, 27, 771, 817], "adam": [26, 27, 38, 42, 54, 77, 524, 602, 603, 608, 621, 622, 783, 799, 837, 838, 839, 855], "n_training_exampl": [26, 27, 799], "2000": [26, 27, 75, 308, 362, 799], "random_norm": [26, 27, 56, 57, 61, 79, 80, 84, 533, 621, 623, 624, 630, 638, 640, 641, 642, 644, 645, 648, 674, 799], "linspac": [26, 27, 48, 71, 121, 616, 799, 821, 832, 834, 862], "loss_fn": [26, 27, 38, 40, 42, 799, 837, 838, 839], "pred": [26, 27, 41, 42, 52, 58, 75, 81, 370, 442, 445, 625, 683, 684, 685, 799, 812, 822, 825], "epoch": [26, 27, 40, 42, 799], "loss": [26, 27, 40, 42, 52, 75, 92, 442, 443, 444, 445, 446, 447, 448, 573, 595, 621, 683, 684, 685, 799, 813, 814, 822, 826, 830, 831, 837, 838, 839, 855, 862], "gradient": [26, 27, 40, 42, 52, 75, 92, 208, 357, 365, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 618, 627, 702, 703, 704, 760, 771, 783, 799, 807, 830, 837, 838, 840, 855], "grad": [26, 27, 38, 42, 602, 622, 783, 799, 824, 837, 838, 839], "execute_with_gradi": [26, 27, 38, 42, 622, 799, 837, 838, 839, 840], "lambda": [26, 27, 43, 45, 75, 118, 120, 292, 301, 532, 604, 605, 607, 612, 615, 621, 622, 624, 628, 659, 712, 713, 717, 799, 804, 822, 823, 824, 827, 832, 834, 837], "2d": [26, 27, 42, 52, 75, 92, 307, 362, 368, 369, 371, 380, 383, 384, 391, 392, 432, 439, 452, 462, 510, 779, 799, 826, 832], "5f": [26, 27, 799], "nonetheless": [26, 27], "slight": [26, 27, 814, 829, 838], "introduc": [26, 27, 242, 619, 626, 632, 694, 736, 804, 812, 813, 814, 823, 827, 829, 832, 837, 844], "address": [26, 27, 52, 53, 75, 371, 481, 586, 621, 804, 806, 808, 809, 821, 828, 834, 846, 851, 853, 855, 861], "extract": [26, 27, 34, 41, 52, 75, 93, 371, 456, 482, 826, 828, 830, 851, 855, 856, 861], "gc": [26, 27, 545, 621], "decompos": [26, 27, 52, 75, 92, 95, 317, 318, 319, 320, 321, 341, 348, 362, 365, 369, 430, 435, 438, 441, 826, 839], "said": [26, 27, 765, 830, 846, 848], "otherwis": [26, 27, 44, 47, 48, 49, 51, 52, 53, 56, 57, 62, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 121, 123, 124, 129, 131, 132, 133, 136, 138, 144, 147, 148, 150, 151, 153, 154, 155, 156, 157, 166, 170, 174, 175, 191, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 300, 301, 303, 304, 305, 307, 317, 318, 319, 320, 321, 328, 329, 330, 331, 332, 334, 335, 336, 343, 344, 350, 352, 354, 355, 356, 360, 362, 365, 368, 369, 374, 386, 387, 388, 391, 392, 393, 411, 424, 437, 439, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 459, 461, 463, 464, 465, 472, 479, 481, 482, 483, 487, 489, 491, 492, 493, 495, 497, 509, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 579, 580, 582, 584, 586, 587, 588, 600, 604, 606, 611, 615, 616, 617, 618, 619, 621, 622, 623, 624, 627, 628, 631, 632, 633, 634, 635, 637, 638, 639, 640, 646, 647, 649, 652, 653, 654, 655, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 674, 678, 680, 681, 683, 684, 685, 686, 689, 690, 691, 693, 694, 695, 696, 697, 698, 700, 701, 702, 703, 718, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 763, 764, 779, 781, 782, 788, 799, 806, 809, 812, 814, 815, 816, 822, 823, 825, 829, 834, 841, 848, 849], "x0": [26, 27, 45, 76, 525, 621, 816], "normalize_trac": [26, 27], "html": [26, 27, 41, 51, 52, 74, 75, 142, 150, 238, 248, 249, 264, 322, 329, 330, 362, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 634, 672, 673, 701, 751, 799, 817, 845], "fname": [26, 27, 43, 45, 781, 837], "anticip": [26, 27], "addition": [26, 27, 812, 825, 826, 861], "backend_compil": [26, 27], "normalize_native_comp": [26, 27], "return_backend_compiled_fn": 26, "immedi": [26, 27, 804, 805], "built": [26, 27, 32, 40, 42, 45, 121, 616, 779, 780, 781, 799, 805, 806, 811, 812, 829, 835, 841, 848, 854, 855, 859], "summar": [26, 27, 92, 829], "eager_graph": [26, 27, 799, 848, 849], "lazy_graph": [26, 27, 799, 848, 849], "codebas": [26, 27, 206, 207, 618, 800, 807, 814, 820, 825, 826, 828, 829, 830, 833, 846], "thought": [26, 27, 805, 806, 821, 845, 853], "research": [26, 27, 40, 799, 844, 849, 855, 862], "wa": [26, 27, 32, 41, 52, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 95, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 351, 352, 354, 355, 356, 362, 365, 369, 391, 392, 393, 411, 440, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 588, 600, 606, 611, 619, 621, 628, 634, 635, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 788, 799, 801, 806, 808, 810, 811, 813, 816, 822, 824, 826, 834, 836, 845, 848, 849, 854, 855, 857], "No": [26, 27, 40, 52, 58, 75, 81, 370, 443, 444, 445, 447, 448, 625, 683, 806, 813, 814, 855], "matter": [26, 27, 32, 816, 844], "job": [26, 27, 799, 811, 813, 849], "haven": [26, 27, 32, 841, 855], "jax_out": [26, 27], "ideal": [26, 27, 813, 814, 826, 832, 837], "But": [26, 27, 765, 812, 813, 817, 820, 823, 832, 839], "bring": [26, 27, 808, 828, 829, 834, 835, 842, 845], "wise": [26, 46, 51, 52, 57, 68, 74, 75, 80, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 215, 216, 218, 219, 220, 222, 223, 225, 226, 227, 228, 229, 230, 234, 235, 236, 237, 239, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 263, 264, 265, 266, 267, 268, 271, 273, 274, 276, 277, 284, 289, 290, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 328, 331, 336, 338, 339, 340, 343, 344, 345, 346, 350, 351, 354, 355, 360, 365, 368, 369, 371, 391, 392, 393, 420, 427, 460, 467, 469, 470, 488, 613, 619, 626, 654, 686, 783, 832], "vision": [26, 27, 45, 851, 861], "worth": [26, 27], "differenti": [26, 27, 290, 358, 359, 360, 367, 855], "chosen": [26, 27, 45, 95, 121, 223, 616, 619, 631, 735, 804, 813, 826], "plai": [26, 27, 370, 445, 799, 805, 809, 815, 819, 826, 829, 839, 855, 858], "role": [26, 27, 799, 806, 815, 826, 835, 856, 858, 862], "dl": [26, 27], "cnn": [26, 27, 855], "effortlessli": [26, 27], "previous": [26, 27, 590, 621, 788, 805, 810, 822, 824, 829, 834], "pre": [26, 27, 799, 802, 804, 828, 829, 839, 840, 841, 855], "default_devic": [26, 27, 201, 204, 205, 206, 212, 213, 618, 815, 818, 819], "as_n": [26, 27, 49, 50, 69, 72, 73, 153, 154, 155, 156, 157, 158, 164, 191, 192, 204, 617, 618, 814], "certainli": [26, 27, 799, 845, 861], "upon": [26, 27, 44, 806, 816, 825, 829, 832, 840, 854, 855], "unnecessari": [26, 27, 826], "extend": [26, 27, 52, 75, 371, 380, 473, 513, 810, 811, 814, 817, 818, 821, 826, 830, 840, 852, 855, 861], "infrastructur": [26, 27, 799, 851, 857, 858], "least": [26, 51, 52, 57, 74, 75, 235, 253, 268, 368, 371, 380, 395, 400, 451, 452, 453, 462, 464, 510, 619, 624, 631, 664, 734, 799, 806, 809, 813, 814, 815, 816, 822, 825, 829, 849], "coco": 26, "seamlessli": [27, 829], "benefit": [27, 799, 805, 809, 812, 825, 832, 836, 837, 840, 845, 846, 853, 857, 860], "through": [27, 32, 40, 52, 75, 95, 223, 380, 516, 517, 619, 628, 708, 714, 781, 792, 799, 800, 802, 803, 804, 806, 807, 810, 811, 812, 813, 815, 816, 818, 819, 820, 822, 823, 825, 826, 827, 829, 831, 832, 833, 834, 837, 838, 839, 848, 853, 855, 856, 857], "therefor": [27, 32, 48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 174, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 466, 473, 474, 476, 481, 485, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 806, 808, 809, 812, 813, 814, 815, 816, 817, 818, 821, 822, 823, 825, 826, 827, 829, 830, 832, 834, 836, 838, 840, 844, 852, 855, 861], "wide": [27, 799, 806, 829, 853, 855], "prepar": [27, 40, 42, 45, 799, 813], "plenti": 27, "resourc": [27, 800, 804, 805, 813], "visit": [27, 804, 805, 806, 813], "page": [27, 799, 804, 805, 806, 811, 813, 819, 835, 836, 839, 841, 850], "newli": [28, 29, 41, 43, 49, 72, 147, 527, 617, 621, 806, 813, 825, 829], "randon": [28, 29, 31, 32, 33], "mean_": 28, "std_": 28, "detect": [28, 32, 51, 69, 74, 250, 619, 628, 705, 716, 804, 805, 810, 812, 813, 820, 829, 837, 838], "inspect": [28, 32, 523, 621], "__": [28, 29, 30, 31, 32, 33, 69, 816, 837], "exhibit": [29, 861], "via": [29, 32, 242, 369, 371, 435, 438, 441, 481, 619, 628, 715, 716, 806, 808, 812, 814, 815, 825, 830, 832, 834, 836, 837, 855], "script": [29, 799, 805, 806, 808, 813, 816, 834, 840, 855], "comp": 29, "low_level": 29, "chain": [29, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 92, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 457, 458, 479, 481, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 627, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 707, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 784, 809, 812, 824, 826, 838, 839, 840, 855], "un": [29, 165, 617, 814, 834], "partial_comp": 29, "time_funct": 29, "slowest": [29, 52, 59, 75, 82, 371, 463, 626, 693], "express": [29, 51, 52, 74, 75, 93, 216, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 619, 785, 793, 817, 826, 834, 839, 855, 856], "fastest": [29, 52, 59, 75, 82, 369, 371, 433, 463, 626, 693], "maxim": [29, 822, 825, 834, 852, 853, 857, 858, 859], "conclud": [30, 830], "collect": [30, 40, 42, 44, 45, 47, 69, 70, 613, 618, 621, 622, 623, 625, 628, 629, 630, 718, 775, 779, 780, 781, 782, 783, 805, 813, 818, 819, 823, 824, 827, 829, 853, 855, 858], "norm_comp": [31, 32], "global": [31, 32, 42, 53, 69, 76, 98, 153, 154, 155, 156, 157, 206, 207, 208, 570, 571, 574, 579, 580, 592, 593, 596, 617, 618, 621, 771, 782, 788, 805, 809, 810, 813, 814, 815, 818, 822, 826, 834, 855], "approach": [31, 802, 804, 805, 806, 809, 812, 814, 815, 819, 822, 826, 829, 830, 832, 836, 837, 840, 852, 859, 861], "b": [32, 46, 51, 52, 53, 56, 57, 65, 68, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 96, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 122, 123, 124, 129, 130, 131, 133, 136, 138, 144, 147, 148, 149, 150, 158, 168, 170, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 324, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 352, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 375, 378, 380, 386, 387, 388, 389, 391, 392, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 417, 420, 422, 424, 428, 433, 436, 441, 442, 444, 445, 446, 447, 451, 452, 453, 454, 457, 458, 459, 460, 463, 464, 465, 467, 468, 469, 470, 472, 473, 479, 481, 482, 483, 484, 487, 488, 493, 495, 497, 498, 500, 501, 503, 510, 511, 512, 513, 515, 517, 520, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 557, 564, 565, 579, 580, 582, 586, 587, 600, 602, 603, 604, 606, 608, 609, 610, 611, 613, 616, 617, 619, 621, 622, 623, 624, 625, 626, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 652, 653, 654, 655, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 683, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 705, 708, 711, 712, 713, 714, 716, 717, 722, 723, 724, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 792, 793, 799, 800, 802, 806, 807, 808, 810, 812, 813, 816, 819, 822, 824, 827, 833, 834, 835, 837, 838, 839, 843, 846, 848, 851], "option": [32, 41, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 163, 165, 175, 187, 191, 203, 206, 207, 208, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 317, 318, 319, 320, 321, 322, 323, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 368, 369, 370, 371, 374, 375, 376, 378, 380, 381, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 411, 412, 413, 415, 416, 418, 419, 420, 422, 424, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 456, 457, 458, 459, 461, 463, 464, 465, 466, 467, 468, 470, 471, 472, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 525, 526, 528, 529, 531, 533, 534, 535, 536, 537, 540, 541, 543, 544, 545, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 569, 579, 580, 582, 584, 586, 587, 588, 600, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 711, 712, 716, 717, 722, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 764, 771, 775, 776, 778, 779, 781, 783, 784, 792, 797, 804, 805, 806, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 825, 826, 827, 829, 830, 832, 834, 839, 840, 848, 849, 850, 855, 861], "prioriti": [32, 69, 788, 804, 806, 815, 825], "normalize_via_oper": 32, "determin": [32, 51, 52, 57, 59, 63, 66, 69, 74, 75, 76, 80, 87, 89, 92, 95, 97, 98, 127, 150, 152, 159, 165, 166, 167, 168, 170, 171, 172, 187, 197, 199, 200, 211, 216, 217, 218, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 232, 233, 235, 238, 240, 242, 248, 249, 250, 251, 252, 256, 257, 258, 259, 260, 265, 268, 273, 277, 280, 281, 282, 283, 284, 285, 286, 289, 298, 302, 347, 352, 360, 365, 368, 369, 370, 371, 380, 403, 411, 422, 442, 481, 510, 522, 525, 546, 547, 551, 552, 553, 554, 555, 556, 582, 600, 616, 617, 618, 619, 621, 624, 626, 627, 632, 635, 653, 654, 655, 657, 661, 662, 664, 666, 667, 669, 670, 672, 673, 678, 680, 681, 687, 702, 703, 704, 736, 737, 738, 739, 740, 754, 755, 765, 771, 778, 782, 812, 814, 815, 817, 822, 826, 829, 831, 832, 844], "think": [32, 804, 806, 813, 816, 832, 856], "uniqu": [32, 42, 52, 53, 63, 75, 76, 86, 368, 369, 371, 415, 436, 472, 473, 486, 557, 621, 627, 628, 632, 702, 703, 704, 707, 711, 736, 737, 738, 739, 765, 799, 804, 808, 812, 822, 826, 827, 828, 832, 840, 844, 858], "rule": [32, 49, 51, 52, 57, 72, 74, 75, 80, 147, 150, 173, 174, 175, 224, 235, 268, 270, 277, 279, 287, 289, 368, 371, 380, 411, 461, 510, 617, 619, 624, 626, 653, 654, 661, 666, 669, 673, 687, 765, 792, 808, 809, 812, 813, 814, 816, 820, 821, 822, 824, 829, 832, 856], "broadcast": [32, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 92, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 130, 131, 132, 133, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 323, 329, 330, 331, 332, 333, 334, 337, 339, 341, 343, 345, 346, 347, 348, 352, 360, 362, 365, 368, 369, 370, 371, 374, 375, 380, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 400, 401, 403, 404, 405, 406, 409, 411, 416, 418, 419, 427, 428, 431, 432, 434, 442, 443, 444, 445, 447, 448, 454, 458, 461, 466, 474, 475, 476, 477, 479, 481, 483, 485, 489, 492, 493, 495, 496, 497, 499, 500, 510, 511, 512, 513, 516, 517, 518, 519, 520, 528, 529, 533, 534, 535, 540, 541, 550, 564, 565, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 667, 668, 669, 670, 671, 673, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 696, 697, 698, 699, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 735, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 792, 812, 814, 816, 817, 818, 829, 830, 834], "elementwis": [32, 52, 60, 75, 83, 294, 296, 355, 360, 624, 629, 679, 724, 822, 830, 834], "must": [32, 40, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 92, 93, 95, 97, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 143, 144, 147, 148, 149, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 309, 319, 320, 323, 324, 325, 326, 329, 330, 331, 332, 333, 335, 337, 339, 341, 343, 345, 346, 347, 348, 352, 355, 360, 362, 365, 368, 369, 370, 371, 374, 375, 378, 380, 382, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 409, 411, 412, 414, 416, 418, 419, 421, 427, 428, 431, 432, 433, 434, 439, 442, 443, 444, 445, 447, 448, 451, 452, 453, 458, 459, 461, 463, 464, 465, 466, 468, 472, 474, 475, 476, 477, 479, 481, 482, 483, 485, 487, 492, 493, 495, 496, 497, 499, 500, 503, 510, 511, 512, 513, 520, 528, 529, 533, 534, 535, 540, 541, 543, 550, 564, 565, 601, 602, 603, 606, 608, 609, 610, 611, 613, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 778, 779, 783, 785, 803, 804, 805, 806, 808, 809, 813, 814, 815, 816, 817, 818, 821, 822, 823, 825, 826, 829, 830, 831, 832, 834, 838, 839, 844, 846, 849, 850, 856, 862], "taken": [32, 52, 57, 75, 80, 335, 365, 368, 412, 624, 657, 678, 804, 813, 826, 830, 839, 856], "account": [32, 42, 44, 52, 59, 75, 82, 282, 371, 463, 619, 626, 693, 778, 792, 805, 813, 817, 826, 830, 848], "rather": [32, 53, 69, 76, 121, 208, 552, 553, 556, 616, 618, 621, 802, 806, 808, 812, 814, 817, 819, 826, 827, 829, 830, 839, 840, 845, 851, 854, 855], "fact": [32, 92, 806, 808, 813, 826, 829, 834, 837], "consum": [32, 760, 812, 813, 821, 827, 829], "thrown": [32, 550, 621, 805, 809, 815, 818, 820, 840], "doesn": [32, 550, 568, 621, 758, 779, 804, 805, 810, 812, 813, 814, 815, 816, 819, 820, 822, 824, 829, 832, 834, 840, 848, 853], "consider": [32, 804, 816, 821, 832, 844, 852, 853], "effect": [32, 48, 52, 54, 65, 75, 77, 88, 134, 370, 403, 445, 602, 610, 616, 622, 623, 634, 649, 751, 753, 763, 766, 804, 809, 812, 813, 817, 821, 825, 827, 832, 840, 845], "explain": [32, 52, 75, 368, 401, 412, 799, 804, 805, 806, 808, 809, 810, 811, 812, 814, 815, 816, 817, 818, 819, 820, 821, 822, 824, 825, 826, 829, 830, 832, 834, 835, 836, 837, 838, 839, 851, 858, 861], "necessari": [32, 48, 52, 71, 75, 82, 123, 235, 268, 371, 451, 452, 453, 459, 461, 462, 463, 464, 465, 472, 487, 573, 595, 619, 621, 689, 690, 691, 693, 695, 696, 698, 700, 799, 804, 805, 809, 810, 812, 814, 816, 825, 826, 829, 831, 832, 848, 849], "standalon": [33, 804, 809, 829, 842, 851, 856, 861, 862], "dynam": [33, 626, 693, 781, 788, 807, 813, 814, 815, 825, 826, 831, 834, 848, 855, 859], "static": [33, 52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 101, 102, 124, 313, 368, 388, 401, 406, 415, 435, 441, 479, 490, 582, 616, 623, 649, 669, 776, 781, 826, 831, 840, 854, 855, 856], "flow": [34, 812, 848, 855, 856], "statement": [34, 39, 813, 825, 829, 832, 840, 848, 849], "opposit": 34, "exclud": [34, 65, 75, 88, 121, 142, 322, 362, 511, 512, 616, 630, 728, 744, 763, 766, 788, 816, 834, 848], "todo": [35, 36, 37, 42, 45, 75, 512, 804, 814, 826], "aim": [38, 802, 806, 808, 819, 823, 826, 829, 833, 853, 855, 858], "interfac": [38, 71, 129, 616, 836, 839, 840, 842, 845, 851, 852, 853, 854, 855, 859, 862], "set_framework": [38, 45], "44": [38, 42, 51, 52, 61, 74, 75, 84, 221, 268, 278, 282, 283, 333, 365, 368, 388, 389, 619, 623, 624, 628, 631, 634, 646, 669, 713, 726, 727, 735, 746], "45": [38, 40, 42, 51, 52, 65, 74, 75, 77, 79, 84, 98, 219, 223, 235, 278, 279, 337, 350, 365, 368, 380, 389, 399, 410, 511, 517, 602, 608, 619, 622, 624, 626, 634, 669, 695, 727, 728, 746, 763], "46": [38, 40, 42, 52, 61, 75, 79, 84, 133, 258, 279, 308, 362, 368, 387, 405, 406, 616, 619, 628, 706, 726, 727], "underneath": [38, 813, 853], "sai": [38, 804, 805, 819, 823, 836, 846], "clip": [38, 51, 52, 59, 74, 75, 76, 82, 266, 267, 371, 456, 481, 482, 528, 529, 619, 621, 626, 812, 822, 824, 825, 837, 839], "a_min": 38, "a_max": 38, "tensforflow": 38, "clip_by_valu": [38, 839], "clip_value_min": 38, "clip_value_max": 38, "clamp": [38, 52, 75, 294, 360, 839], "min": [38, 42, 49, 52, 53, 57, 65, 72, 75, 76, 80, 88, 140, 142, 160, 163, 267, 322, 325, 330, 362, 365, 369, 371, 422, 478, 518, 534, 564, 565, 579, 616, 617, 619, 621, 624, 634, 665, 671, 674, 675, 681, 799], "max": [38, 40, 49, 52, 53, 57, 65, 72, 75, 76, 80, 88, 160, 163, 266, 329, 365, 368, 369, 371, 386, 387, 388, 404, 405, 406, 407, 409, 411, 422, 478, 480, 481, 528, 529, 534, 550, 564, 565, 617, 619, 621, 624, 634, 665, 667, 670, 763, 779, 783, 813, 826], "49": [38, 42, 52, 61, 75, 79, 80, 282, 368, 369, 380, 389, 399, 410, 433, 511, 619, 634, 679, 727, 746], "devicearrai": [38, 809, 826, 834, 836], "concaten": [38, 52, 53, 59, 75, 80, 371, 458, 533, 537, 621, 623, 626, 649, 669, 687, 763, 827, 832, 834, 837], "accept": [38, 47, 48, 51, 52, 57, 70, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 336, 357, 362, 365, 367, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 799, 804, 805, 806, 809, 812, 814, 815, 816, 817, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 836, 842, 853], "jax_concat": 38, "tf_concat": 38, "np_concat": 38, "torch_concat": 38, "85": [38, 46, 52, 61, 68, 74, 75, 77, 79, 84, 98, 107, 220, 229, 230, 274, 290, 291, 293, 360, 380, 511, 579, 606, 613, 619, 621, 622, 623, 630, 647, 726, 727, 728], "mymodel": [38, 837], "x_in": [38, 837, 838, 839], "reduce_mean": [38, 799, 837, 838, 839], "91": [38, 52, 79, 84, 353, 365, 410, 623, 624, 630, 634, 647, 669, 727, 746], "49040043354034424": 38, "48975786566734314": 38, "4892795979976654": 38, "48886892199516296": 38, "4884953498840332": 38, "4881443977355957": 38, "4878086447715759": 38, "48748287558555603": 38, "48716384172439575": 38, "48684927821159363": 38, "48653748631477356": 38, "48622724413871765": 38, "4859171509742737": 38, "48560672998428345": 38, "48529526591300964": 38, "4849821627140045": 38, "48466697335243225": 38, "4843493402004242": 38, "4840289056301117": 38, "4837053418159485": 38, "4833785891532898": 38, "4830484390258789": 38, "48271444439888": 38, "48237672448158264": 38, "48203518986701965": 38, "48168954253196716": 38, "4813397228717804": 38, "4809857904911041": 38, "48062753677368164": 38, "48026490211486816": 38, "479898065328598": 38, "47952669858932495": 38, "4791509211063385": 38, "4787706732749939": 38, "47838595509529114": 38, "4779967665672302": 38, "47760307788848877": 38, "4772048890590668": 38, "47680220007896423": 38, "47639501094818115": 38, "47598329186439514": 38, "4755673110485077": 38, "4751465618610382": 38, "4747215211391449": 38, "4742920398712158": 38, "47385817766189575": 38, "47341999411582947": 38, "47297725081443787": 38, "4725303053855896": 38, "47207894921302795": 38, "47162333130836487": 38, "47116345167160034": 38, "470699280500412": 38, "47023090720176697": 38, "54": [38, 49, 51, 56, 74, 75, 79, 84, 163, 232, 233, 238, 253, 282, 288, 308, 362, 368, 380, 389, 399, 511, 619, 623, 624, 634, 647, 666, 669, 726, 727, 728, 746, 813, 816], "4697583019733429": 38, "55": [38, 46, 75, 84, 113, 229, 288, 380, 511, 548, 619, 621, 624, 630, 634, 662, 669, 727, 728, 746, 808], "46928152441978455": 38, "46880054473876953": 38, "4683155119419098": 38, "58": [38, 259, 528, 619, 621], "4678264260292053": 38, "59": [38, 51, 230, 380, 511], "46733325719833374": 38, "46683603525161743": 38, "61": [38, 40, 51, 52, 57, 74, 75, 77, 81, 84, 221, 256, 258, 283, 389, 602, 619, 622, 623, 624, 625, 645, 661, 683, 685, 728, 819], "4663347601890564": 38, "4658295214176178": 38, "465320348739624": 38, "4648073613643646": 38, "46429020166397095": 38, "4637692868709564": 38, "46324464678764343": 38, "4627160429954529": 38, "4621836841106415": 38, "4616474211215973": 38, "71": [38, 51, 74, 79, 234, 274, 410, 619], "46110764145851135": 38, "72": [38, 52, 61, 75, 77, 240, 342, 365, 368, 389, 399, 606, 619, 622, 624, 634, 669, 727, 746], "460563987493515": 38, "4600166976451874": 38, "74": [38, 40, 51, 84, 230, 260, 619, 624, 666], "45946577191352844": 38, "45891112089157104": 38, "45835286378860474": 38, "4577910006046295": 38, "78": [38, 54, 279, 608, 619, 622, 624, 630, 634, 669, 727, 746], "45722562074661255": 38, "79": [38, 40, 52, 53, 75, 76, 79, 84, 97, 235, 368, 389, 399, 410, 528, 529, 619, 621, 728], "45665669441223145": 38, "80": [38, 52, 75, 342, 365, 369, 380, 433, 511, 624, 628, 634, 669, 716, 746, 845], "4560841917991638": 38, "81": [38, 42, 51, 57, 72, 74, 80, 84, 163, 233, 258, 259, 283, 380, 511, 617, 619, 624, 628, 630, 634, 661, 666, 679, 713, 728, 746, 829], "4555082619190216": 38, "45492875576019287": 38, "45434585213661194": 38, "84": [38, 56, 65, 74, 84, 163, 193, 258, 617, 618, 624, 629, 634, 647, 669, 724, 727, 728, 746], "45375964045524597": 38, "4531698524951935": 38, "4525766670703888": 38, "45198020339012146": 38, "4513803720474243": 38, "4507772624492645": 38, "4501707851886749": 38, "4495610296726227": 38, "4489481747150421": 38, "44833192229270935": 38, "4477125108242035": 38, "44708991050720215": 38, "44646409153938293": 38, "44583529233932495": 38, "98": [38, 46, 52, 54, 61, 68, 74, 77, 84, 108, 233, 281, 353, 365, 606, 613, 622, 624, 628, 631, 634, 669, 706, 717, 726, 728, 735, 746], "4452032148838043": 38, "44456806778907776": 38, "4439": 38, "selectbackward0": 38, "hope": [38, 840, 845, 861], "ivy_compil": 39, "ic": 39, "produc": [39, 52, 53, 56, 75, 79, 296, 306, 309, 360, 362, 368, 415, 623, 652, 763, 793, 804, 814, 819, 820, 825, 827, 829, 830, 848, 856, 858], "numer": [39, 48, 49, 51, 52, 53, 57, 61, 62, 65, 72, 74, 75, 76, 80, 84, 85, 87, 97, 98, 134, 147, 215, 218, 231, 235, 240, 241, 242, 249, 250, 251, 254, 263, 264, 268, 270, 271, 272, 273, 277, 278, 279, 283, 284, 288, 289, 368, 370, 375, 380, 411, 443, 497, 510, 570, 571, 579, 580, 592, 593, 616, 617, 619, 621, 624, 630, 631, 634, 654, 661, 664, 669, 672, 674, 676, 678, 680, 726, 727, 728, 730, 731, 732, 734, 735, 740, 747, 750, 752, 763, 764, 765, 766, 778, 802, 814, 819, 824, 826, 827, 829, 830, 831, 832, 834, 838, 852, 855, 861], "anyth": [39, 52, 75, 380, 516, 517, 806, 818, 829, 830, 855, 856], "affect": [39, 45, 52, 370, 446, 813, 826], "intermedi": [39, 853, 854, 855, 856, 861], "variabl": [39, 41, 42, 44, 52, 53, 54, 60, 69, 75, 76, 77, 83, 117, 118, 120, 316, 362, 368, 369, 375, 380, 413, 437, 498, 509, 510, 526, 550, 551, 552, 553, 556, 582, 603, 604, 606, 608, 609, 610, 615, 621, 622, 624, 627, 629, 673, 702, 703, 704, 724, 760, 771, 776, 778, 779, 780, 781, 782, 783, 784, 806, 810, 814, 817, 821, 824, 825, 829, 830, 834, 837, 838, 839, 840, 841, 848, 856], "original_fn": 39, "100000": 39, "var": [39, 65, 88, 90, 117, 118, 119, 120, 615, 627, 634, 702, 703, 785, 805, 816, 834], "co": [39, 40, 51, 53, 74, 233, 238, 240, 281, 537, 619, 621, 803, 814, 834, 845], "sin": [39, 51, 53, 74, 233, 238, 240, 281, 537, 619, 621, 809, 834], "tan": [39, 51, 74, 524, 619, 621, 817, 821, 822, 825, 826, 834], "comp_fn": 39, "compile_graph": [39, 45], "expected_result": 39, "compiled_result": 39, "irrelev": [39, 813, 814, 816], "opeat": 39, "_layer": [39, 834], "net": [39, 44, 45, 834, 839, 845, 846], "compiled_net": 39, "proceed": 40, "latest": [40, 42, 51, 52, 74, 75, 150, 238, 248, 249, 264, 329, 330, 365, 368, 371, 380, 411, 413, 481, 510, 617, 619, 624, 626, 634, 672, 673, 701, 751, 779, 799, 804, 805, 806, 808, 810, 813, 817, 819, 830, 840, 841, 849, 860], "pypi": [40, 42, 45, 804, 805, 830, 840], "pkg": [40, 42, 45], "public": [40, 42, 45, 530, 621, 813, 824, 836, 858], "revis": [40, 42, 806], "tmp": [40, 42, 577, 599, 621], "req": [40, 42], "tabqrujw": 40, "command": [40, 42, 799, 801, 805, 808, 811, 813, 819, 820, 841], "filter": [40, 42, 44, 52, 56, 75, 79, 311, 312, 362, 368, 388, 406, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 765, 779, 799, 810, 813], "quiet": [40, 42], "commit": [40, 42, 802, 804, 808, 816, 828, 829], "f3be3702c9fab1c9fa97c743813a4bdb39525705": 40, "metadata": [40, 42, 45, 825], "setup": [40, 42, 45, 805, 806, 811, 813, 819], "done": [40, 42, 45, 624, 660, 803, 804, 805, 806, 808, 811, 813, 815, 816, 819, 820, 825, 826, 829, 837, 848, 849, 855], "py3": [40, 42, 45], "whl": [40, 41, 42, 45], "cp39": [40, 42], "manylinux_2_12_x86_64": [40, 42], "manylinux2010_x86_64": [40, 42], "manylinux_2_17_x86_64": [40, 42, 805], "manylinux2014_x86_64": [40, 41, 42], "eta": [40, 42, 45], "tar": [40, 41, 42, 45], "gz": [40, 41, 42, 45], "py2": [40, 42], "495": [40, 42], "nvidia_ml_pi": [40, 42], "pypars": [40, 42, 45], "ivy_cor": [40, 42, 45, 805], "1338326": 40, "sha256": [40, 42, 45], "e5c4205c80116b781373daf4502d61881235c5e3eb0d55096ab07dcc6eb66bec": 40, "store": [40, 42, 45, 49, 52, 53, 57, 59, 69, 72, 75, 76, 80, 82, 149, 368, 369, 412, 420, 424, 436, 440, 537, 621, 624, 626, 678, 695, 760, 761, 779, 780, 781, 801, 806, 809, 810, 812, 817, 823, 825, 826, 827, 834, 836, 837, 838, 842, 848], "directori": [40, 41, 42, 45, 577, 599, 618, 621, 801, 804, 805, 806, 811, 813, 819, 826, 829, 841], "ephem": [40, 42], "njrc_e6b": 40, "2e": [40, 42], "ae2d7c5ce8708e605368a33e08d57d1de8e107e3db157c3063": [40, 42], "4845": [40, 42], "a8cde63eca203d3bd7f900fa32f44dbd038476606a3836de14caf2b0a5ff7460": 40, "b6": [40, 42], "0d": [40, 42], "0d1bbd99855f99cb2f6c2e5ff96f8023fad8ec367695f7d72d": [40, 42], "successfulli": [40, 42, 45, 781, 805, 809], "uninstal": [40, 42, 45], "found": [40, 42, 43, 45, 57, 59, 63, 69, 75, 80, 82, 86, 98, 196, 380, 458, 511, 618, 628, 657, 664, 697, 716, 736, 793, 804, 805, 806, 809, 810, 811, 812, 814, 815, 817, 820, 823, 825, 826, 841, 857], "cannot": [40, 41, 42, 45, 52, 285, 451, 452, 453, 619, 806, 808, 810, 814, 826, 834, 839, 861], "vnd": [40, 42, 45], "json": [40, 42, 45, 69, 805, 819, 837], "psst": 40, "cv2": [40, 42, 44, 837], "pickl": [40, 41, 69, 781, 812, 837], "imageio": 40, "urllib": [40, 45], "_src": 40, "tpu": [40, 189, 195, 206, 211, 618, 815, 855, 858], "back": [40, 52, 59, 75, 82, 371, 463, 484, 566, 589, 621, 623, 626, 649, 693, 778, 783, 793, 805, 809, 814, 815, 818, 823, 824, 831, 833, 840, 841, 845, 853, 857], "tf_cpp_min_log_level": 40, "info": [40, 796, 799, 811, 817, 820], "mkdir": [40, 41, 42, 805, 813], "perceiv": [40, 41], "touch": 40, "io_processor": 40, "position_encod": 40, "absl": 40, "jmp": 40, "tabul": 40, "04": [40, 41, 48, 54, 68, 72, 75, 77, 107, 108, 133, 160, 240, 570, 602, 603, 608, 613, 616, 617, 619, 621, 622, 763, 805, 829], "29359": 40, "29k": 40, "67k": 40, "002": 40, "30179": 40, "47k": 40, "8107": 40, "9k": 40, "92k": 40, "itertool": 40, "preprocessor": 40, "vector": [40, 48, 52, 53, 56, 57, 75, 76, 79, 80, 92, 93, 95, 134, 358, 359, 367, 368, 369, 371, 374, 375, 380, 390, 421, 426, 432, 434, 439, 473, 475, 477, 494, 498, 510, 529, 533, 550, 601, 616, 621, 623, 624, 647, 649, 654, 658, 659, 661, 664, 669, 674, 675, 679, 680, 681, 682, 763, 779, 855], "perceiverbackbon": 40, "input_preprocessor": 40, "_input_preprocessor": 40, "_encod": 40, "__call__": [40, 760, 779, 780, 781, 799, 849], "is_train": 40, "po": [40, 793], "input_mask": 40, "network_input_is_1d": 40, "_input_is_1d": 40, "queri": [40, 41, 56, 69, 79, 193, 207, 543, 569, 618, 621, 623, 649, 652, 779, 812, 814, 819, 836, 855], "decod": [40, 837], "cross": [40, 42, 57, 58, 80, 81, 93, 624, 625, 683, 684, 685, 799, 813, 814], "attend": [40, 623, 649], "encoder_queri": 40, "latent": [40, 627, 703, 704], "imagepreprocessor": 40, "deal": [40, 781, 802, 815, 822, 824, 826, 840], "image_s": 40, "fourier_pos_config": 40, "position_encoding_typ": 40, "fourier": [40, 52, 75, 368, 390, 395, 396, 400, 401, 411, 412, 415, 537, 621], "fourier_position_encoding_kwarg": 40, "concat_po": 40, "max_resolut": 40, "num_band": [40, 53, 76, 537, 621], "sine_onli": 40, "prep_typ": 40, "spatial_downsampl": 40, "cross_attend_widening_factor": 40, "cross_attention_shape_for_attn": 40, "kv": 40, "dropout_prob": 40, "num_block": 40, "num_cross_attend_head": 40, "num_self_attend_head": 40, "num_self_attends_per_block": 40, "num_z_channel": 40, "self_attend_widening_factor": 40, "use_query_residu": 40, "z_index_dim": 40, "z_pos_enc_init_scal": 40, "perceiver_backbon": [40, 799], "perceiverencod": 40, "At": [40, 804, 805, 806, 808, 819, 829, 830, 845, 855], "almost": [40, 803, 812, 827, 835, 837, 844], "publish": [40, 799, 840, 846, 849], "thankfulli": [40, 829], "perceiver_io": [40, 41], "imagenet_fourier_position_encod": 40, "pystat": 40, "imagenet_checkpoint": 40, "rb": 40, "ckpt": 40, "read": [40, 42, 52, 59, 69, 71, 75, 82, 129, 371, 463, 616, 626, 693, 804, 805, 811, 813, 819, 829, 831, 832, 855], "09": [40, 46, 51, 77, 84, 113, 273, 283, 602, 613, 619, 622, 727], "173": [40, 57, 624, 661], "194": 40, "217": [40, 818], "125": [40, 52, 57, 80, 229, 339, 365, 370, 442, 619, 624, 679], "177": [40, 42], "193776248": 40, "185m": 40, "octet": 40, "184": 40, "80m": 40, "144mb": 40, "144": 40, "mean_rgb": 40, "stddev_rgb": 40, "im": 40, "denorm": 40, "resize_and_center_crop": 40, "crop": [40, 52, 75, 368, 396, 401, 412], "center": [40, 778], "image_height": [40, 42, 799], "image_width": [40, 799], "padded_center_crop_s": 40, "minimum": [40, 51, 52, 53, 59, 62, 65, 74, 75, 76, 82, 85, 88, 215, 243, 270, 293, 325, 329, 330, 339, 360, 362, 365, 371, 380, 473, 508, 512, 518, 570, 571, 579, 580, 592, 593, 619, 621, 626, 631, 634, 686, 732, 747, 749, 763, 765, 766, 771, 814, 831, 852, 858, 862], "offset_height": 40, "offset_width": 40, "crop_window": 40, "inter_cub": 40, "ye": [40, 840], "dummy_input": [40, 799], "transpili": 40, "torch_perceiver_backbon": 40, "quicker": 40, "params_v": [40, 799, 849], "perceiverioclassifi": [40, 799], "max_pool": [40, 799], "huggingfac": [40, 848, 849], "Of": [40, 809, 825, 826, 837, 860, 861], "cours": [40, 805, 806, 808, 809, 816, 825, 826, 832, 837, 840, 860, 861], "468": 40, "huggingface_hub": 40, "multiprocess": [40, 69, 98, 621, 837, 840], "py39": 40, "132": [40, 75], "pyarrow": 40, "xxhash": 40, "212": [40, 52, 56, 75, 352, 365, 647], "pyyaml": 40, "2021": [40, 52, 75, 355, 365, 799], "aiohttp": 40, "async": 40, "timeout": [40, 69, 98, 574, 596, 621, 831], "0a3": 40, "async_timeout": 40, "frozenlist": 40, "manylinux_2_5_x86_64": [40, 45], "manylinux1_x86_64": [40, 45], "158": 40, "attr": [40, 814], "aiosign": 40, "multidict": 40, "114": [40, 368, 389, 399], "yarl": 40, "264": [40, 628, 705], "2022": [40, 41], "pytz": 40, "2020": [40, 808, 855], "dateutil": [40, 45], "wikiart": 40, "paint": [40, 799, 834, 844], "load_dataset": [40, 848, 849], "n_sampl": [40, 52, 75, 369, 371, 417, 425, 476], "10000": [40, 42, 48, 71, 133, 616], "huggan": 40, "split": [40, 41, 42, 46, 51, 52, 59, 68, 69, 74, 75, 82, 105, 106, 107, 108, 109, 110, 111, 112, 113, 206, 207, 208, 286, 290, 294, 295, 297, 341, 348, 360, 371, 459, 468, 487, 533, 560, 613, 618, 619, 621, 623, 626, 636, 643, 644, 698, 760, 775, 779, 799, 800, 806, 813, 833, 834, 840, 862], "wiki_art": 40, "gib": 40, "unknown": [40, 763], "total": [40, 42, 52, 65, 69, 75, 88, 98, 129, 210, 324, 325, 326, 334, 362, 365, 616, 618, 631, 634, 734, 751, 753, 793, 799, 800, 805, 806, 814, 815, 816, 829, 832, 837, 838, 840, 846], "huggan___parquet": 40, "36ee951979f9b56c": 40, "2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec": 40, "parquet": 40, "subsequ": [40, 788, 805, 809, 813, 814, 816, 821, 822, 825, 829, 838, 856], "reus": [40, 48, 71, 75, 82, 123, 451, 452, 459, 461, 463, 464, 465, 472, 487, 689, 690, 691, 693, 695, 696, 698, 700, 818, 829, 860], "curl": [40, 805], "server": [40, 799, 805, 806, 811, 819, 841, 855], "row": [40, 52, 75, 93, 127, 142, 322, 362, 369, 371, 378, 380, 427, 437, 465, 471, 488, 503, 509, 510, 616, 624, 630, 631, 665, 673, 674, 679, 725, 734, 778], "2fwikiart": 40, "receiv": [40, 44, 92, 524, 560, 621, 627, 702, 703, 704, 779, 805, 806, 814, 815, 829, 832], "xferd": 40, "averag": [40, 42, 52, 54, 58, 75, 77, 81, 368, 370, 374, 380, 382, 383, 386, 387, 388, 443, 444, 445, 446, 447, 448, 494, 510, 602, 603, 608, 622, 623, 625, 627, 649, 683, 702, 703, 778, 779], "dload": 40, "upload": [40, 829], "spent": [40, 846], "25936": 40, "278k": 40, "number": [40, 42, 43, 44, 45, 48, 49, 51, 52, 53, 56, 57, 58, 59, 61, 62, 63, 65, 66, 69, 71, 72, 74, 75, 76, 79, 80, 81, 82, 84, 85, 86, 88, 89, 92, 93, 95, 97, 98, 101, 121, 127, 129, 131, 132, 133, 134, 135, 136, 137, 138, 142, 148, 153, 154, 155, 156, 157, 159, 160, 163, 166, 167, 168, 170, 172, 175, 199, 200, 201, 215, 216, 217, 218, 219, 221, 223, 224, 231, 233, 235, 236, 238, 240, 241, 242, 248, 249, 250, 252, 256, 258, 266, 267, 268, 269, 270, 271, 273, 275, 277, 278, 279, 281, 282, 286, 288, 313, 317, 318, 319, 320, 321, 322, 324, 325, 326, 328, 329, 330, 332, 333, 334, 335, 344, 349, 353, 362, 365, 368, 369, 371, 374, 380, 401, 412, 415, 418, 421, 425, 426, 427, 435, 439, 441, 451, 452, 453, 473, 474, 475, 476, 477, 479, 481, 483, 486, 489, 490, 491, 508, 510, 511, 512, 513, 519, 537, 544, 562, 579, 580, 587, 600, 601, 614, 616, 617, 618, 619, 621, 623, 624, 625, 626, 627, 630, 631, 632, 634, 635, 636, 643, 644, 646, 649, 654, 658, 659, 660, 667, 672, 674, 678, 679, 680, 683, 686, 688, 689, 691, 692, 694, 695, 697, 699, 701, 702, 703, 704, 725, 729, 734, 736, 737, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 765, 771, 778, 779, 782, 793, 799, 805, 806, 812, 813, 814, 815, 816, 823, 824, 825, 829, 830, 831, 832, 834, 837, 843, 844, 848], "abstract_expression": 40, "action_paint": 40, "analytical_cub": 40, "art_nouveau": 40, "baroqu": 40, "color_field_paint": 40, "contemporary_r": 40, "cubism": 40, "early_renaiss": 40, "expression": 40, "fauvism": 40, "high_renaiss": 40, "impression": 40, "mannerism_late_renaiss": 40, "minim": [40, 46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 362, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 670, 671, 672, 674, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 793, 817, 825, 827, 832, 834, 848, 853, 861], "naive_art_primitiv": 40, "new_real": 40, "northern_renaiss": 40, "pointil": 40, "pop_art": 40, "post_impression": 40, "realism": 40, "rococo": 40, "romantic": 40, "symbol": [40, 792, 804, 805, 855, 856], "synthetic_cub": 40, "ukiyo_": 40, "custom": [40, 52, 75, 293, 305, 357, 360, 367, 763, 792, 801, 807, 813, 818, 823, 827, 829, 832, 838, 845, 855, 859, 860, 861], "hugginfac": 40, "customdataset": 40, "__len__": [40, 812], "__getitem__": [40, 69, 812], "idx": [40, 41, 42, 523, 621, 799, 815, 836], "random_split": 40, "224x224": 40, "val_siz": 40, "dataset_train": 40, "dataset_v": 40, "dataset_test": 40, "dataloader_train": 40, "batch_siz": [40, 42, 45, 52, 56, 61, 75, 79, 84, 368, 370, 386, 387, 388, 404, 405, 406, 407, 448, 623, 630, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 649, 725, 799, 837], "dataloader_v": 40, "dataloader_test": 40, "batch": [40, 41, 42, 52, 53, 57, 69, 75, 76, 80, 206, 207, 368, 374, 382, 384, 390, 403, 413, 443, 489, 490, 491, 494, 537, 540, 541, 601, 618, 621, 623, 624, 627, 629, 647, 648, 649, 663, 681, 702, 703, 704, 724, 763, 779, 782, 799, 812, 822, 827, 837, 853], "iter": [40, 42, 47, 52, 53, 59, 67, 69, 75, 76, 82, 90, 95, 98, 117, 208, 314, 315, 362, 368, 369, 371, 413, 426, 435, 441, 457, 473, 522, 560, 615, 618, 621, 626, 628, 688, 692, 699, 701, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 720, 721, 723, 792, 793, 808, 810, 812, 834, 837, 846, 848], "train_featur": 40, "train_label": 40, "imshow": [40, 41], "crossentropyloss": [40, 780], "sgd": [40, 783, 855], "lr": [40, 54, 77, 524, 603, 606, 608, 609, 610, 621, 622, 783, 837, 838], "001": [40, 51, 52, 60, 72, 75, 77, 160, 258, 275, 332, 344, 365, 603, 617, 619, 622, 629, 724, 763, 837, 838], "train_step": 40, "running_loss": [40, 42, 799], "last_loss": 40, "training_load": 40, "intra": 40, "report": [40, 804, 829], "zero_grad": 40, "backward": [40, 52, 66, 75, 89, 277, 368, 390, 395, 396, 400, 401, 411, 412, 619, 624, 635, 654, 680, 754, 755, 779, 830, 840], "adjust": [40, 65, 88, 369, 437, 634, 751, 753, 788], "999": [40, 54, 74, 77, 286, 602, 603, 608, 610, 619, 622, 783, 838], "epoch_numb": 40, "best_vloss": 40, "1_000_000": 40, "avg_loss": 40, "running_vloss": 40, "vdata": 40, "vinput": 40, "vlabel": 40, "voutput": 40, "vloss": 40, "avg_vloss": 40, "model_path": 40, "model_": 40, "state_dict": [40, 780, 781], "highest": [40, 52, 61, 75, 84, 313, 316, 362, 630, 726, 814], "energi": 40, "sum": [40, 42, 51, 52, 53, 56, 57, 58, 65, 69, 74, 75, 76, 79, 80, 81, 88, 92, 97, 98, 208, 218, 260, 284, 326, 349, 362, 365, 369, 370, 371, 374, 380, 410, 420, 442, 443, 444, 445, 446, 447, 448, 478, 494, 516, 517, 534, 564, 565, 618, 619, 621, 623, 624, 625, 634, 646, 652, 665, 674, 678, 681, 683, 745, 746, 778, 780, 792, 799, 812, 814, 822, 824, 825, 826, 834, 848, 849, 850], "augment": 40, "mayb": [40, 41, 47, 799, 805, 813, 834, 836], "meta": [40, 702, 703, 704, 809, 830, 855], "finetun": 40, "deploi": [40, 799, 813, 842, 849, 853, 854, 855, 857, 861], "present": [41, 52, 65, 69, 75, 88, 332, 365, 374, 489, 490, 491, 634, 749, 804, 805, 806, 812, 814, 815, 821, 825, 834, 844, 852, 853, 862], "percieverio": 41, "ai": [41, 813, 853, 857], "contribut": [41, 52, 75, 380, 513, 803, 805, 806, 811, 819, 820, 826, 827, 834, 841, 848, 859], "highli": [41, 799, 804, 855], "invit": [41, 804, 826, 832], "g4ar9q7dtn": 41, "step1": 41, "printf": 41, "8packag": 41, "share": [41, 69, 181, 617, 763, 764, 799, 810, 812, 816, 822, 824, 826, 827, 829, 832, 834, 845, 853, 854, 861], "googledr": 41, "10_wfp1u4rmzc20eignrdqa9v2s9byjwv": 41, "file_id": 41, "drive": [41, 42], "uc": 41, "export": [41, 813, 854, 861], "tee": [41, 805], "file_id_wget_cmd": 41, "perl": 41, "pe": 41, "g": [41, 43, 44, 52, 61, 63, 65, 67, 75, 84, 90, 92, 146, 175, 188, 235, 248, 268, 275, 278, 329, 330, 365, 368, 369, 371, 375, 380, 404, 406, 441, 481, 496, 497, 498, 499, 500, 511, 512, 617, 618, 619, 624, 628, 630, 632, 634, 659, 660, 665, 672, 674, 675, 681, 708, 712, 714, 717, 722, 726, 727, 728, 736, 737, 738, 739, 744, 745, 747, 749, 750, 752, 778, 800, 804, 805, 807, 808, 810, 811, 812, 824, 826, 829, 834, 840, 842, 846, 851], "uuid": 41, "anywai": [41, 809, 823, 826], "bin": [41, 52, 75, 380, 508, 513, 805, 806, 808, 812], "bash": [41, 805, 806, 808], "step2": 41, "interpret": [41, 48, 52, 71, 75, 122, 123, 129, 135, 370, 380, 443, 510, 616, 813, 856], "sudo": [41, 805], "apt": [41, 805], "yf": 41, "step3": 41, "delet": [41, 806, 813], "xvzf": 41, "rm": [41, 43, 801, 806], "step4": 41, "symlink": 41, "unzip": [41, 42], "fr": 41, "l": [41, 57, 74, 80, 262, 369, 421, 623, 624, 649, 653, 658, 659, 660, 664, 678, 806, 807], "d": [41, 52, 53, 56, 57, 59, 71, 75, 76, 79, 80, 82, 95, 111, 133, 142, 175, 218, 235, 236, 268, 271, 322, 362, 368, 369, 371, 374, 375, 378, 386, 387, 388, 395, 400, 404, 405, 406, 407, 409, 413, 419, 433, 453, 459, 461, 464, 468, 482, 484, 487, 494, 496, 502, 525, 536, 613, 616, 617, 619, 623, 624, 626, 628, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 656, 657, 661, 665, 669, 678, 679, 695, 708, 712, 713, 714, 717, 722, 723, 764, 793, 799, 800, 805, 807, 810, 811, 812, 819, 824, 829, 832, 837, 845, 846, 851], "ln": 41, "sf": 41, "la": 41, "step5": 41, "regular": [41, 75, 369, 380, 433, 514, 624, 663, 805, 826, 855], "step6": 41, "ipkykernel": 41, "step7": 41, "engbjapanpython3": 41, "separ": [41, 52, 53, 75, 374, 490, 537, 621, 623, 649, 805, 806, 809, 812, 813, 816, 827, 828, 829, 834, 836, 837, 856, 860], "ipykernel": 41, "reconnect": 41, "sy": 41, "oct": 41, "gcc": [41, 853, 860], "lf": 41, "upgrad": 41, "cuda11": 41, "cudnn805": 41, "cp38": [41, 45, 805], "helper": [41, 758, 760, 761, 767, 769, 770, 799, 802, 811, 814, 818, 819, 828, 837, 842], "feedforward": 41, "prenorm": 41, "perceiveriospec": 41, "fetch": [41, 545, 621, 805, 806, 808, 813], "ogbanugot": 41, "xmartlab": 41, "caffeflow": 41, "fetch_class": 41, "class_label": 41, "ground_truth": 41, "127": [41, 49, 52, 57, 72, 75, 163, 352, 365, 617, 624, 661], "path_to_imag": 41, "get_imag": 41, "ax": [41, 46, 52, 57, 59, 62, 65, 66, 68, 75, 80, 82, 85, 88, 89, 97, 101, 108, 112, 208, 329, 330, 334, 335, 349, 356, 365, 366, 368, 369, 371, 374, 380, 396, 401, 412, 436, 472, 473, 479, 492, 515, 516, 517, 518, 519, 520, 533, 601, 618, 621, 624, 626, 631, 634, 635, 654, 665, 673, 676, 677, 681, 688, 690, 691, 694, 696, 698, 701, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 765, 779, 814, 816, 829, 830, 834, 836], "fig": [41, 42], "subplot": [41, 42], "spine": 41, "set_vis": 41, "right": [41, 52, 57, 69, 75, 80, 98, 115, 116, 227, 229, 282, 343, 365, 368, 369, 371, 402, 430, 436, 437, 439, 464, 533, 615, 619, 621, 624, 633, 674, 679, 742, 763, 800, 804, 805, 806, 807, 808, 816, 819, 832, 837, 848], "bottom": [41, 533, 621, 804, 805, 813, 819, 861], "tick_param": 41, "set_xticklabel": 41, "set_yticklabel": 41, "show_result": 41, "along": [41, 46, 48, 51, 52, 53, 57, 58, 59, 61, 62, 64, 65, 66, 68, 69, 71, 74, 75, 76, 80, 81, 82, 84, 85, 87, 88, 89, 92, 93, 95, 108, 112, 117, 132, 133, 208, 282, 285, 287, 324, 325, 326, 329, 330, 334, 335, 349, 356, 362, 365, 366, 368, 369, 370, 371, 374, 380, 389, 395, 396, 399, 400, 401, 411, 412, 435, 445, 458, 459, 460, 462, 464, 465, 473, 478, 481, 483, 492, 493, 494, 495, 511, 512, 513, 515, 516, 517, 518, 519, 520, 533, 540, 615, 616, 618, 619, 621, 624, 625, 626, 627, 630, 631, 633, 634, 635, 654, 669, 678, 680, 681, 683, 684, 685, 687, 690, 691, 692, 694, 695, 697, 699, 700, 702, 703, 704, 730, 731, 732, 740, 741, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 779, 799, 804, 807, 816, 825, 828, 830, 832, 834, 855], "figur": [41, 831], "figsiz": [41, 42], "listdir": [41, 42], "endswith": 41, "this_dir": 41, "dirnam": 41, "join": [41, 42, 59, 69, 75, 82, 457, 458, 626, 687, 697, 799], "add_subplot": 41, "xtick": 41, "ytick": 41, "set_titl": [41, 42], "color": [41, 69, 98, 798], "green": [41, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 798, 804, 805, 806], "red": 41, "perceiver_io_img_classif": 41, "normalize_imag": 41, "batch_shap": [41, 56, 61, 71, 79, 84, 127, 136, 616, 623, 624, 630, 648, 652, 682, 725, 779, 832, 834, 836], "img_dim": 41, "queries_dim": 41, "learn_queri": 41, "load_weight": 41, "num_input_ax": 41, "network_depth": 41, "num_lat_att_per_lay": 41, "query_shap": 41, "num_fourier_freq_band": 41, "weight_fpath": 41, "pretrained_weight": 41, "isfil": 41, "noinspect": [41, 836], "pybroadexcept": 41, "from_disk_as_pickl": 41, "larg": [41, 51, 52, 74, 75, 218, 235, 242, 268, 269, 371, 380, 481, 510, 619, 624, 672, 801, 805, 806, 811, 813, 819, 837, 848, 855], "action": [41, 803, 813, 816, 820, 829], "fail": [41, 758, 802, 805, 806, 808, 813, 814, 816, 820, 823, 825, 826, 827], "placehold": [41, 628, 712, 717, 722, 779, 806, 809, 821, 842], "pyunboundlocalvari": 41, "max_fourier_freq": 41, "random_uniform": [41, 45, 61, 84, 630, 815, 818, 829, 834, 838], "817437": 41, "common_runtim": 41, "gpu_bfc_alloc": 41, "orig_valu": 41, "tf_force_gpu_allow_growth": 41, "autograd": [41, 840], "declar": [41, 806, 828], "_3r2_73j": 42, "0edf8c1e8ea835f4c456bdf89737d89032f50b5a": 42, "1297564": 42, "05fcafac1e19fec835a9ac61270b3ac6039a5095f6b0f9fde20bacc2a5abba45": 42, "le3bu3_v": 42, "cc6508f5d7e25538c5df5fdae52a41d2bf17b9a517aedd125cfca913bb5b259b": 42, "third": [42, 92, 93, 371, 460, 486, 624, 632, 674, 736, 811, 814, 825, 840, 854, 855, 861], "parti": [42, 811, 814, 840, 845, 854, 855, 861], "mount": [42, 801, 806], "mydriv": 42, "chdir": 42, "One": [42, 52, 53, 59, 61, 75, 76, 82, 84, 95, 371, 451, 452, 453, 456, 473, 482, 534, 621, 626, 630, 693, 726, 809, 812, 814, 816, 822, 827, 829, 834, 836, 837], "kaggl": 42, "medium": 42, "articl": [42, 799, 820], "insert": [42, 52, 62, 75, 85, 371, 448, 458, 626, 628, 631, 633, 689, 709, 710, 731, 742, 813, 820], "www": [42, 329, 330, 365], "your_kaggle_usernam": 42, "competit": 42, "digit": 42, "recogn": 42, "zip": [42, 834], "readabl": [42, 809, 812, 818, 820, 821, 829, 830, 836, 837], "chmod": [42, 805, 813], "recent": [42, 796, 805, 806, 829, 844, 845], "modifi": [42, 52, 69, 75, 92, 371, 380, 470, 473, 478, 517, 763, 793, 804, 805, 806, 808, 810, 811, 814, 815, 817, 819, 820, 822, 825, 827, 829, 830, 834], "forc": [42, 811, 813, 815], "archiv": [42, 805], "inflat": [42, 814], "sample_submiss": 42, "frame": [42, 52, 75, 313, 362, 368, 415, 845, 855], "later": [42, 69, 527, 621, 804, 820, 825, 829, 830, 855], "my": [42, 813], "label_df": 42, "mod_train": 42, "data_valu": 42, "test_data_valu": 42, "correct_label": 42, "train_path": 42, "str": [42, 44, 47, 48, 52, 53, 56, 57, 58, 59, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 118, 120, 129, 131, 134, 136, 138, 144, 145, 148, 150, 152, 153, 154, 155, 159, 160, 163, 164, 165, 166, 167, 168, 170, 172, 175, 176, 177, 178, 179, 180, 187, 188, 208, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 368, 369, 370, 371, 374, 380, 383, 386, 387, 388, 390, 391, 392, 393, 395, 396, 400, 401, 404, 405, 406, 407, 409, 410, 411, 412, 414, 415, 418, 422, 435, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 456, 457, 458, 463, 479, 481, 482, 483, 484, 489, 490, 491, 492, 493, 495, 497, 499, 510, 511, 512, 513, 520, 522, 523, 525, 526, 528, 529, 531, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 561, 564, 565, 567, 568, 577, 579, 580, 582, 584, 586, 587, 600, 604, 611, 615, 616, 617, 618, 621, 622, 623, 624, 625, 626, 627, 628, 634, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 675, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 702, 703, 704, 711, 712, 717, 722, 725, 726, 727, 728, 730, 733, 736, 737, 738, 740, 744, 745, 746, 748, 750, 751, 753, 754, 755, 760, 761, 763, 764, 769, 771, 779, 781, 782, 792, 793, 814, 815, 818, 822, 825, 826, 830, 834, 839, 848, 849, 850], "makedir": 42, "valid_path": 42, "28x28": 42, "pic": 42, "pictur": [42, 799, 804, 834, 844], "int8": [42, 49, 61, 71, 72, 84, 129, 156, 161, 163, 164, 168, 616, 617, 726, 763, 764, 814, 829], "new_img": [42, 44], "builder": [42, 801], "batchwis": 42, "subset": [42, 765, 809, 813, 817, 821, 824, 826, 829, 834, 855], "goe": [42, 371, 456, 807, 820, 825, 832], "seed_valu": [42, 69, 630, 729], "randomize_dataset": 42, "shuffl": [42, 52, 61, 69, 75, 84, 498, 630], "create_dataset": 42, "num_examples_per_class": 42, "img_arrai": 42, "class_nam": [42, 760], "dir": [42, 837], "img_path": 42, "imread": [42, 44, 837], "imread_grayscal": 42, "generate_batch": [42, 799], "dataset_s": [42, 799], "ivyerror": [42, 794, 799, 818], "smaller": [42, 52, 59, 65, 75, 82, 296, 328, 344, 360, 365, 368, 380, 396, 401, 412, 510, 511, 512, 533, 621, 626, 634, 686, 694, 744, 745, 750, 752, 799, 806, 818, 834], "yield": [42, 62, 314, 315, 362, 371, 473, 631, 735, 799, 813], "x_batch_inst": 42, "form": [42, 44, 47, 48, 52, 57, 69, 71, 80, 91, 92, 93, 122, 123, 135, 140, 141, 306, 309, 323, 332, 362, 365, 369, 371, 421, 430, 460, 469, 473, 488, 523, 583, 585, 616, 621, 623, 624, 628, 653, 655, 657, 658, 659, 660, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678, 706, 717, 763, 778, 800, 804, 805, 822, 829, 832, 838, 839, 845, 855, 856, 861], "intialis": 42, "num_epoch": [42, 799], "inherit": [42, 809, 812, 818, 836, 840, 842], "creation": [42, 52, 69, 75, 98, 811, 814, 815, 821, 823, 826, 827, 829, 830, 834, 848, 855, 857, 861], "inform": [42, 44, 49, 52, 54, 72, 77, 160, 163, 313, 362, 523, 611, 617, 621, 622, 627, 704, 799, 803, 804, 805, 806, 808, 812, 813, 818, 822, 823, 825, 827, 829, 858], "insid": [42, 57, 80, 98, 371, 483, 624, 667, 761, 805, 806, 809, 812, 814, 815, 819, 822, 823, 829, 830, 848, 861], "ivynet": [42, 799], "h_w": [42, 799], "input_channel": [42, 779, 799, 834, 838], "output_channel": [42, 779, 799, 838], "gelu": [42, 43, 46, 68, 613, 775, 799], "image_widht": 42, "start_dim": [42, 52, 75, 371, 463, 799], "end_dim": [42, 52, 75, 371, 463, 799], "gpu_is_avail": [42, 618, 799], "120": [42, 65, 88, 98, 624, 669, 744, 799], "model_nam": [42, 799], "__name__": [42, 43, 45, 588, 621, 799, 818], "heavi": [42, 765, 805, 826, 827, 832, 856], "lift": [42, 827, 856], "num_correct": [42, 799], "y_pred": [42, 799], "cross_entropi": [42, 58, 81, 625, 685, 799, 812, 822, 825], "epoch_loss": [42, 799], "field": [42, 57, 63, 80, 86, 369, 371, 421, 486, 624, 632, 658, 659, 671, 672, 674, 736, 737, 738, 799, 813, 853, 861], "training_accuraci": [42, 799], "train_loss": [42, 799], "train_correct": [42, 799], "train_loop": [42, 799], "posit": [42, 44, 47, 51, 52, 53, 57, 58, 59, 74, 75, 76, 80, 81, 82, 92, 127, 129, 142, 160, 215, 216, 217, 221, 224, 235, 242, 249, 250, 256, 258, 268, 269, 276, 277, 281, 282, 286, 307, 322, 328, 333, 344, 362, 365, 369, 371, 419, 437, 447, 472, 481, 527, 537, 601, 614, 616, 617, 619, 621, 624, 625, 626, 630, 631, 635, 653, 656, 678, 683, 689, 694, 729, 734, 754, 755, 760, 763, 771, 776, 780, 781, 793, 799, 804, 806, 808, 812, 826, 829, 830, 837, 848, 857], "leav": [42, 47, 52, 70, 72, 74, 75, 76, 79, 80, 82, 88, 98, 160, 163, 235, 292, 294, 295, 301, 371, 457, 458, 463, 475, 476, 477, 492, 493, 495, 511, 512, 517, 537, 584, 626, 628, 642, 652, 657, 674, 688, 692, 697, 699, 700, 705, 706, 715, 716, 717, 718, 744, 745, 792, 799, 804, 812, 813, 814, 816, 817, 821, 822, 825, 826, 829, 837, 838], "xbatch": [42, 799], "ybatch": [42, 799], "to_devic": [42, 50, 73, 191, 618, 781, 799], "entropi": [42, 58, 81, 625, 683, 684, 685, 799], "hot": [42, 48, 71, 136, 616, 799], "ybatch_encod": [42, 799], "one_hot": [42, 48, 71, 616, 799, 839], "loss_prob": [42, 799], "ret_grad_idx": [42, 604, 622, 760, 824], "xs_grad_idx": [42, 604, 622, 760, 824], "batch_loss": [42, 799], "set_descript": [42, 799], "set_postfix": [42, 799], "accuracy_percentag": [42, 799], "naverag": [42, 799], "6f": [42, 799], "_train_summari": [42, 799], "writer": [42, 799], "writerow": [42, 799], "157it": 42, "06it": 42, "475401": 42, "11it": 42, "081436": 42, "13it": 42, "0187": 42, "029279": 42, "0324": 42, "008382": 42, "07it": 42, "00456": 42, "003816": 42, "82it": 42, "00277": 42, "002179": 42, "05it": 42, "00175": 42, "001569": 42, "00147": 42, "001235": 42, "09it": 42, "00128": 42, "001005": 42, "106": 42, "10it": 42, "00112": 42, "000837": 42, "129": [42, 623, 642, 644], "12it": 42, "000989": 42, "000709": 42, "145": 42, "000873": 42, "000606": 42, "168": [42, 528, 621, 628, 705], "08it": 42, "000774": 42, "000524": 42, "000688": 42, "000455": 42, "000613": 42, "000398": 42, "000547": 42, "000350": 42, "205": 42, "000488": 42, "000308": 42, "218": 42, "000437": 42, "000273": 42, "000391": 42, "000243": 42, "238": [42, 242, 619], "98it": 42, "000351": 42, "000216": 42, "260": 42, "plot_summari": 42, "seaborn": 42, "whitegrid": 42, "ax1": 42, "ax2": 42, "nrow": 42, "ncol": 42, "fontweight": 42, "bold": 42, "set_xlabel": 42, "set_ylabel": 42, "tight_layout": 42, "savefig": 42, "summary_plot": 42, "png": [42, 44, 45, 837], "close": [42, 57, 240, 258, 278, 306, 362, 619, 624, 626, 674, 689, 802, 804, 805, 806, 814, 817, 819, 826, 832, 855], "save_weight": [42, 781], "model_param": 42, "ivynet_weight": 42, "hdf5": [42, 69, 781, 837], "deitimageprocessor": 43, "tfdeitforimageclassif": 43, "tfdeitforimageclassificationwithteach": 43, "head": [43, 44, 623, 649, 779, 799, 803, 805, 813, 826], "distillation_classifi": 43, "cls_classifi": 43, "randomli": [43, 368, 391, 392, 393, 623, 646, 763, 764, 765, 766, 771, 779], "henc": [43, 63, 218, 332, 365, 619, 626, 632, 689, 736, 737, 738, 739, 788, 805, 812, 813, 814, 825, 829], "reproduc": [43, 56, 79, 623, 646, 763, 764, 765, 766, 771, 802, 808, 819], "image_processor": [43, 848, 849], "facebook": 43, "distil": [43, 856], "patch16": 43, "outputs_from_original_model": 43, "predicted_class_idx": 43, "id2label": [43, 848], "architectur": [43, 799, 805, 839, 840, 853, 854, 855, 858, 859, 860], "bertforsequenceclassif": 43, "bertforpretrain": 43, "NOT": [43, 263, 619, 792, 804], "probabl": [43, 52, 56, 58, 61, 75, 79, 81, 84, 368, 370, 375, 380, 391, 392, 393, 443, 496, 510, 513, 517, 623, 625, 630, 646, 649, 652, 683, 725, 765, 778, 779, 799, 829, 841, 846], "ptarmigan": 43, "rf": [43, 806], "branch": [43, 223, 235, 238, 240, 268, 280, 281, 282, 285, 619, 804, 805, 806, 808, 813, 820, 840, 848, 855], "moduleconvert": [43, 776, 781], "mc": 43, "from_keras_modul": [43, 776], "compiled_func": 43, "return_graph": [43, 45], "compiled_output": 43, "diverg": [43, 52, 75, 242, 370, 443, 619], "_all_funct": [43, 45], "convert_to_tensor_v2_with_dispatch": 43, "transpose_v2": 43, "convolution_v2": 43, "bias_add": 43, "binary_op_wrapp": 43, "cast": [43, 49, 51, 52, 57, 65, 72, 74, 80, 147, 150, 175, 269, 380, 511, 512, 617, 619, 624, 634, 681, 744, 745, 750, 752, 764, 822, 827, 834], "moments_v2": 43, "batch_norm": [43, 45, 52, 75, 374], "tensordot": [43, 57, 80, 624, 793, 814], "softmax_v2": 43, "_slice_help": 43, "save_to_disk": [43, 45, 781], "12265048989200113": 43, "11038777417100028": 43, "1167045795539998": 43, "ivy_api_kei": 44, "obj": [44, 122, 123, 545, 616, 621, 848, 849, 850], "combo": [44, 837], "permit": [44, 809, 821, 826, 829, 832], "usabl": [44, 821, 830], "neither": [44, 218, 235, 242, 268, 619, 624, 676, 813, 826, 832], "nor": [44, 218, 235, 242, 268, 619, 813, 826, 859], "specifc": 44, "invoc": 44, "represent": [44, 52, 53, 69, 75, 76, 98, 145, 146, 160, 163, 188, 189, 215, 218, 225, 228, 230, 235, 242, 265, 268, 270, 285, 310, 341, 345, 350, 354, 362, 365, 523, 584, 614, 617, 618, 619, 621, 763, 765, 766, 779, 814, 853, 854, 856, 860, 861], "externally_link": 44, "logo": 44, "patch": [44, 286, 619, 814, 855], "cv2_imshow": 44, "envrion": 44, "canni": 44, "original_img": 44, "fn_arg": 44, "dilate_edg": 44, "edg": [44, 52, 59, 75, 82, 313, 362, 368, 371, 380, 403, 473, 513, 626, 686, 688, 701, 766, 808, 829, 849, 855, 857, 861], "morphologi": 44, "hk_model": 44, "resnet18": [44, 45], "keras_model": 44, "count": [44, 52, 59, 63, 66, 71, 75, 82, 86, 89, 129, 201, 334, 365, 371, 380, 481, 486, 508, 513, 616, 618, 624, 626, 632, 635, 654, 680, 687, 690, 736, 737, 754, 755, 811, 812, 816, 837], "odsc": 44, "talk": [44, 860], "228": 45, "352": [45, 79, 623, 647, 818], "nvidia_ml_py3": 45, "19190": 45, "241af6b4a51197474b0da3ee7bfa32d847756c8f0d93b51448655d6458312714": 45, "b9": 45, "b1": [45, 624, 673], "cb4feab29709d4155310d29a421389665dcab9eb3b679b527b": 45, "cycler": 45, "fonttool": 45, "965": 45, "pillow": 45, "kiwisolv": 45, "show_graph": [45, 781], "to_ivy_modul": [45, 776, 839], "image_dim": 45, "v0": [45, 838], "urlerror": 45, "dev_str": 45, "comp_network": 45, "time_chronolog": 45, "ret0_nc": 45, "ret1_nc": 45, "ret0_c": 45, "ret1_c": 45, "pytorch_vision_v0": 45, "distribut": [45, 52, 58, 61, 75, 81, 84, 368, 369, 370, 375, 391, 392, 393, 426, 435, 441, 443, 445, 446, 448, 496, 497, 498, 499, 500, 625, 630, 683, 684, 685, 725, 726, 727, 728, 730, 778, 779, 804, 805, 813, 815, 840, 855, 858], "distributed_c10d": 45, "262": 45, "reduce_op": 45, "deprec": 45, "reduceop": 45, "004645566477999864": 45, "0044566806820000695": 45, "attribut": [45, 69, 160, 161, 162, 163, 194, 195, 203, 538, 539, 617, 618, 621, 761, 810, 811, 812, 817, 818, 822, 823, 825, 826, 832, 835, 836, 837, 838], "definit": [45, 51, 57, 74, 80, 287, 619, 624, 653, 799, 802, 806, 809, 814, 819, 822, 836, 849], "max_pool2d": [45, 52, 75, 368, 387], "__iadd__": 45, "adaptive_avg_pool2d": [45, 52, 75, 368], "_arraywithactiv": [46, 97], "abc": [46, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 101, 536, 621, 628, 723, 778, 783, 792, 793, 836], "_abc_impl": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "_abc": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "_abc_data": [46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 101, 102], "approxim": [46, 51, 52, 57, 68, 74, 75, 80, 92, 95, 105, 216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 242, 256, 257, 258, 259, 273, 280, 281, 285, 286, 287, 342, 352, 365, 370, 445, 446, 613, 619, 624, 667, 670, 775, 817, 826], "complex_mod": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 823], "variant": [46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 133, 134, 135, 136, 138, 140, 141, 144, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 602, 603, 606, 608, 609, 610, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 656, 657, 658, 659, 660, 661, 662, 664, 665, 667, 670, 671, 672, 674, 678, 679, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 753, 754, 755, 809, 816, 817, 832], "docstr": [46, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 105, 106, 107, 108, 109, 110, 111, 112, 113, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 143, 144, 148, 149, 150, 160, 163, 167, 168, 175, 192, 209, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 316, 323, 325, 326, 327, 328, 329, 330, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 365, 368, 371, 380, 386, 387, 388, 389, 391, 392, 393, 395, 399, 400, 401, 404, 405, 406, 410, 411, 414, 415, 416, 417, 418, 419, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 457, 458, 459, 460, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 495, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 525, 526, 528, 529, 532, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 554, 556, 557, 559, 564, 565, 579, 580, 581, 582, 584, 586, 587, 600, 601, 602, 603, 606, 608, 609, 610, 611, 616, 617, 619, 621, 624, 626, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 803, 804, 807, 811, 820, 821, 822, 823, 826, 828, 830], "liter": [46, 51, 52, 57, 68, 74, 75, 80, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 368, 369, 371, 374, 389, 399, 403, 411, 426, 430, 435, 438, 441, 473, 494, 613, 619, 624, 633, 665, 681, 742, 775, 832], "magnitud": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 215, 218, 235, 242, 268, 286, 290, 294, 295, 297, 360, 613, 619, 624, 674, 675, 775, 814], "handle_complex_input": [46, 51, 52, 68, 74, 75, 105, 106, 107, 108, 109, 110, 111, 112, 113, 286, 290, 294, 295, 297, 360, 613, 619, 775, 823], "element": [46, 48, 51, 52, 53, 56, 57, 59, 61, 62, 63, 65, 68, 69, 71, 72, 74, 75, 76, 79, 80, 82, 84, 85, 86, 88, 93, 97, 98, 101, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 121, 124, 130, 131, 140, 141, 142, 158, 160, 163, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 295, 297, 299, 300, 301, 303, 304, 305, 322, 323, 324, 325, 326, 328, 329, 330, 331, 332, 336, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 365, 368, 369, 371, 380, 381, 391, 392, 393, 396, 401, 404, 405, 406, 410, 412, 413, 414, 420, 421, 422, 451, 452, 453, 463, 464, 465, 467, 470, 480, 481, 483, 486, 508, 509, 511, 512, 513, 514, 515, 516, 518, 519, 521, 525, 528, 529, 540, 541, 557, 559, 579, 580, 582, 586, 587, 613, 616, 619, 621, 623, 624, 626, 628, 630, 631, 632, 633, 634, 635, 646, 654, 656, 658, 659, 664, 669, 671, 672, 674, 678, 686, 689, 690, 691, 692, 693, 694, 695, 696, 705, 708, 714, 725, 733, 734, 735, 736, 737, 738, 739, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 758, 760, 763, 765, 779, 793, 817, 827, 829, 832, 834, 859], "138": [46, 105, 613], "165": [46, 105, 613, 623, 647], "hardswish": [46, 68, 613, 775], "leaky_relu": [46, 68, 75, 290, 613, 764], "alpha": [46, 51, 52, 68, 74, 75, 102, 107, 218, 284, 290, 291, 298, 302, 308, 360, 362, 369, 374, 375, 422, 494, 497, 498, 499, 613, 619, 775, 821, 826, 827], "float": [46, 48, 49, 51, 52, 53, 54, 56, 57, 58, 60, 61, 63, 65, 68, 71, 72, 74, 75, 76, 77, 79, 80, 81, 83, 84, 88, 92, 95, 97, 107, 113, 121, 122, 123, 125, 127, 129, 130, 131, 132, 133, 137, 138, 143, 147, 151, 155, 160, 164, 168, 174, 175, 178, 184, 193, 202, 206, 207, 210, 214, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 239, 240, 241, 242, 246, 248, 249, 250, 251, 252, 254, 256, 257, 258, 259, 260, 261, 268, 269, 270, 271, 272, 273, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 298, 301, 302, 304, 305, 306, 307, 308, 309, 311, 312, 313, 328, 329, 330, 331, 338, 339, 344, 346, 347, 350, 351, 352, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 380, 383, 391, 392, 393, 410, 411, 418, 421, 422, 424, 435, 439, 441, 442, 446, 447, 462, 480, 489, 490, 491, 494, 495, 496, 497, 498, 499, 500, 510, 511, 512, 513, 518, 519, 520, 527, 528, 529, 537, 546, 570, 571, 574, 579, 580, 600, 602, 603, 606, 608, 609, 610, 613, 614, 616, 617, 618, 619, 621, 622, 623, 624, 625, 627, 628, 629, 630, 631, 632, 634, 646, 649, 652, 653, 655, 658, 659, 660, 662, 665, 666, 667, 670, 671, 672, 673, 674, 675, 676, 678, 681, 683, 684, 685, 702, 703, 704, 711, 724, 727, 728, 734, 736, 737, 738, 739, 744, 745, 747, 748, 749, 750, 751, 752, 753, 760, 763, 764, 766, 775, 778, 779, 782, 783, 802, 808, 812, 814, 817, 818, 819, 821, 822, 824, 825, 827, 829, 830, 832, 834, 836, 838], "slope": [46, 52, 68, 75, 107, 290, 291, 296, 298, 302, 360, 613, 775], "neg": [46, 51, 52, 57, 59, 61, 66, 68, 74, 75, 80, 82, 84, 89, 92, 107, 110, 113, 121, 127, 129, 142, 235, 242, 249, 250, 268, 269, 277, 282, 290, 307, 322, 325, 360, 362, 369, 370, 371, 375, 419, 426, 430, 446, 481, 500, 613, 616, 619, 624, 626, 630, 635, 654, 656, 674, 678, 680, 681, 687, 689, 690, 694, 727, 754, 755, 763, 765, 775, 812, 825], "leaki": [46, 68, 107, 613, 775], "log_softmax": [46, 68, 613, 775], "0719": [46, 68, 108], "221": [46, 108], "mish": [46, 68, 613, 775], "30340147": [46, 109, 613], "86509842": [46, 68, 109, 613], "269": [46, 111], "731": [46, 111], "881": [46, 51, 74, 111, 221, 234, 274, 619], "422": [46, 112, 613], "155": [46, 79, 112, 613, 623, 647], "softplu": [46, 68, 613, 775, 832], "beta": [46, 52, 60, 68, 75, 83, 113, 298, 302, 308, 311, 312, 360, 362, 369, 370, 374, 375, 422, 447, 494, 498, 499, 613, 629, 724, 775, 832], "threshold": [46, 51, 52, 68, 74, 75, 113, 266, 267, 305, 331, 360, 365, 370, 371, 442, 447, 480, 613, 619, 775, 832], "union": [46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 117, 118, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 175, 176, 177, 178, 179, 180, 181, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 365, 366, 368, 369, 370, 371, 374, 375, 376, 378, 380, 382, 383, 384, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 406, 407, 409, 410, 411, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 459, 461, 462, 463, 464, 465, 466, 467, 468, 470, 471, 472, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 485, 486, 487, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 542, 543, 544, 546, 548, 549, 550, 552, 553, 556, 557, 559, 560, 564, 565, 569, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 600, 601, 602, 603, 604, 605, 606, 608, 609, 610, 611, 613, 615, 616, 617, 618, 619, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 712, 713, 714, 716, 717, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 763, 778, 783, 784, 809, 812, 814, 815, 816, 818, 821, 822, 825, 830, 832, 834, 839, 848, 849, 850], "3461": [46, 68, 113, 613], "6491": [46, 68, 113, 613], "_array_to_new_backend": 47, "_to_ivi": 47, "_to_n": 47, "to_ignor": [47, 67, 90, 628, 716, 717], "_to_new_backend": 47, "args_to_ivi": 47, "include_deriv": [47, 70, 628, 706, 717, 760], "nest": [47, 69, 70, 98, 101, 238, 555, 584, 601, 604, 619, 621, 622, 627, 702, 703, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 783, 809, 811, 812, 822, 824, 830, 837, 838, 840, 842, 855], "unchang": [47, 51, 368, 371, 412, 463, 623, 646], "deriv": [47, 48, 52, 54, 70, 71, 75, 77, 126, 131, 138, 144, 307, 311, 336, 362, 365, 602, 603, 606, 607, 608, 609, 610, 616, 622, 627, 628, 704, 706, 717, 781, 783, 784, 814, 815, 836, 838], "word": [47, 121, 371, 466, 616, 630, 728, 776, 779, 812, 825, 826, 842], "args_to_n": [47, 825], "cont_inplac": 47, "decid": [47, 69, 628, 716, 717, 799, 804, 805, 814, 832], "args_to_new_backend": 47, "shallow": [47, 628, 712, 713, 717, 722, 723], "nativevari": 47, "mutabl": [47, 628, 706, 712, 713, 717, 722, 723, 810], "to_ivi": [47, 70, 628, 718, 825], "leaf": [47, 69, 76, 88, 98, 536, 628, 715, 716, 718, 745, 812, 822, 837], "travers": [47, 70, 628, 709, 717, 812, 814, 818, 834], "lowest": [47, 52, 61, 70, 75, 84, 380, 513, 628, 630, 717, 726, 793, 822, 840, 842, 852, 856, 860], "search": [47, 52, 70, 75, 731, 732, 771, 803, 805, 812, 816, 819, 829, 830, 844], "to_new_backend": 47, "_arraywithcr": [48, 97], "boolean": [48, 49, 51, 52, 53, 59, 62, 65, 69, 71, 72, 74, 75, 76, 82, 85, 88, 97, 98, 118, 120, 122, 123, 124, 130, 147, 163, 165, 167, 168, 171, 187, 197, 205, 211, 225, 226, 227, 228, 229, 230, 262, 263, 264, 265, 329, 330, 344, 365, 369, 371, 426, 435, 441, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 481, 487, 522, 525, 536, 543, 546, 547, 551, 552, 553, 554, 555, 556, 557, 566, 569, 572, 573, 575, 576, 600, 615, 616, 617, 618, 619, 621, 623, 626, 627, 628, 631, 634, 649, 689, 690, 691, 693, 695, 696, 698, 700, 702, 703, 715, 733, 734, 735, 747, 749, 763, 764, 765, 766, 771, 782, 812, 814, 822, 826, 829, 832], "alwai": [48, 49, 52, 53, 59, 71, 72, 75, 82, 105, 123, 147, 218, 268, 339, 365, 369, 371, 437, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 550, 613, 617, 619, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 765, 799, 804, 805, 806, 809, 810, 812, 814, 817, 820, 821, 822, 825, 826, 827, 828, 829, 830, 832, 834, 840, 848], "never": [48, 52, 59, 71, 75, 82, 123, 371, 451, 452, 453, 459, 461, 463, 464, 465, 468, 472, 479, 487, 543, 621, 626, 689, 690, 691, 693, 695, 696, 698, 700, 806, 814, 825, 826, 829], "valueerror": [48, 52, 59, 71, 75, 82, 86, 123, 368, 370, 401, 412, 446, 451, 452, 459, 461, 463, 464, 465, 472, 487, 626, 689, 690, 691, 693, 695, 696, 698, 700, 739, 765, 794, 818], "buffer": [48, 71, 75, 82, 123, 129, 451, 452, 459, 461, 463, 464, 465, 472, 487, 616, 689, 690, 691, 693, 695, 696, 698, 700, 780, 781, 825, 840], "nativedtyp": [48, 49, 52, 56, 57, 61, 62, 65, 71, 75, 80, 84, 85, 88, 121, 122, 123, 125, 126, 127, 129, 130, 131, 132, 133, 135, 136, 137, 138, 143, 144, 146, 147, 152, 153, 154, 155, 156, 157, 158, 159, 164, 165, 169, 171, 173, 177, 187, 306, 307, 308, 309, 310, 311, 312, 327, 334, 349, 362, 365, 375, 380, 496, 497, 498, 499, 500, 510, 511, 512, 513, 516, 519, 616, 617, 623, 624, 630, 631, 633, 634, 646, 681, 726, 727, 728, 731, 732, 742, 744, 745, 750, 752, 778, 814, 815, 821, 830, 834], "datatyp": [48, 52, 69, 71, 75, 123, 131, 135, 152, 173, 177, 368, 415, 616, 617, 758, 830, 848], "nativedevic": [48, 50, 52, 61, 71, 73, 75, 84, 121, 122, 123, 125, 126, 127, 130, 131, 132, 133, 135, 136, 137, 138, 142, 143, 144, 189, 190, 191, 192, 193, 196, 201, 202, 203, 204, 206, 207, 208, 209, 210, 214, 306, 307, 322, 362, 375, 496, 497, 499, 500, 616, 618, 630, 725, 726, 727, 728, 778, 783, 784, 814, 815, 818, 821, 830], "39999998": [48, 122, 123, 616, 632, 737], "5999999": [48, 52, 75, 79, 122, 123, 292, 360, 369, 417, 616, 623, 646, 652], "0999999": [48, 65, 122, 123, 292, 301, 304, 346, 360, 365, 616, 748], "10000038": [48, 122, 123, 616], "90786433e": [48, 122, 123, 616], "310": [48, 122, 123, 616], "copy_arrai": [48, 71, 616], "to_ivy_arrai": [48, 71, 124, 616], "empty_lik": [48, 52, 71, 75, 259, 369, 420, 616, 619], "uniniti": [48, 125, 126, 616, 820], "from_dlpack": [48, 71, 616], "full_lik": [48, 71, 616, 830], "fill_valu": [48, 52, 62, 71, 75, 85, 130, 131, 247, 255, 371, 375, 481, 500, 616, 619, 631, 734, 814, 827, 830], "scalar": [48, 51, 52, 53, 57, 68, 71, 74, 75, 76, 80, 92, 107, 131, 136, 218, 239, 284, 290, 332, 333, 335, 339, 342, 344, 346, 351, 365, 368, 369, 371, 415, 422, 451, 452, 453, 462, 467, 587, 600, 616, 619, 621, 624, 681, 814, 824, 826, 840, 855], "fill": [48, 51, 52, 61, 62, 69, 71, 74, 75, 84, 85, 125, 130, 131, 133, 136, 137, 138, 143, 144, 269, 307, 362, 369, 371, 375, 426, 430, 435, 441, 462, 481, 482, 497, 499, 500, 616, 619, 630, 631, 726, 734, 778, 804, 827], "000123": [48, 131, 616], "stop": [48, 52, 54, 71, 75, 77, 121, 132, 133, 208, 369, 435, 441, 566, 603, 606, 608, 609, 610, 611, 616, 618, 621, 622, 627, 628, 702, 703, 704, 716, 783, 821, 824, 832, 834, 840, 855], "num": [48, 71, 132, 133, 616, 763, 806, 821, 834], "endpoint": [48, 71, 132, 133, 616, 778, 821], "logspac": [48, 71, 616, 834], "log": [48, 51, 52, 57, 71, 74, 75, 80, 113, 133, 258, 260, 273, 294, 295, 347, 354, 360, 365, 370, 375, 443, 445, 446, 496, 613, 616, 619, 672, 763, 765, 766, 775, 806, 812, 813, 816, 822, 825, 826, 827, 829, 831, 832, 834, 837], "sequenc": [48, 52, 56, 57, 59, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 127, 129, 131, 133, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 310, 317, 318, 319, 320, 321, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 358, 359, 362, 365, 366, 367, 368, 369, 371, 375, 380, 381, 383, 384, 391, 392, 393, 395, 396, 400, 401, 403, 410, 411, 412, 413, 414, 417, 425, 426, 427, 429, 433, 434, 435, 438, 441, 442, 443, 444, 445, 446, 447, 448, 449, 451, 452, 453, 457, 458, 459, 460, 466, 468, 469, 471, 472, 474, 477, 479, 481, 482, 483, 487, 488, 489, 491, 492, 493, 495, 497, 498, 510, 511, 512, 513, 520, 521, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 560, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 604, 605, 606, 611, 616, 619, 621, 622, 623, 624, 626, 628, 634, 635, 636, 637, 638, 639, 640, 641, 643, 645, 646, 647, 649, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 681, 683, 684, 685, 686, 687, 689, 690, 692, 693, 694, 695, 696, 697, 700, 701, 705, 712, 722, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 779, 782, 784, 806, 813, 814, 815, 816, 818, 829, 830, 832, 834, 839, 858], "on_valu": [48, 71, 133, 136, 616], "off_valu": [48, 71, 133, 136, 616], "evenli": [48, 51, 52, 56, 59, 69, 71, 74, 75, 79, 82, 121, 132, 133, 287, 368, 410, 414, 616, 619, 623, 626, 636, 637, 638, 639, 641, 643, 645, 695], "hint": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 809, 817, 819, 821, 822, 825, 826, 830], "simplic": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 252, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 275, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 540, 544, 546, 548, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 817, 832, 838], "nestabl": [48, 51, 52, 57, 74, 75, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 133, 134, 137, 138, 139, 140, 141, 142, 143, 144, 150, 166, 170, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 307, 322, 323, 329, 330, 332, 335, 362, 365, 368, 369, 371, 380, 386, 387, 388, 389, 391, 392, 393, 399, 404, 405, 406, 411, 413, 422, 473, 481, 510, 513, 517, 526, 534, 535, 540, 544, 546, 548, 550, 564, 582, 587, 611, 616, 617, 619, 621, 622, 623, 624, 626, 629, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 645, 646, 647, 649, 652, 653, 654, 655, 656, 657, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 682, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 724, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 804, 807, 816, 817, 825, 829, 842], "464": [48, 51, 84, 133, 222, 223, 619], "15888336": [48, 133], "2154": [48, 133], "43469003": [48, 133], "meshgrid": [48, 71, 616], "spars": [48, 52, 58, 71, 75, 81, 134, 310, 362, 369, 426, 435, 441, 616, 625, 685], "xy": [48, 71, 134, 616], "dimension": [48, 51, 52, 57, 59, 62, 65, 66, 69, 71, 74, 75, 80, 82, 88, 89, 97, 121, 127, 129, 134, 142, 287, 322, 329, 330, 362, 365, 368, 369, 371, 380, 395, 396, 400, 401, 411, 412, 419, 451, 452, 453, 457, 462, 463, 508, 520, 616, 619, 624, 626, 631, 634, 635, 654, 655, 661, 664, 667, 669, 670, 680, 681, 695, 731, 732, 734, 747, 748, 749, 750, 751, 752, 753, 754, 755, 822, 824, 829, 832, 834, 852, 855, 862], "repres": [48, 51, 52, 56, 57, 74, 75, 79, 80, 95, 120, 134, 136, 159, 217, 218, 221, 224, 233, 235, 242, 268, 281, 285, 286, 310, 324, 325, 326, 342, 359, 362, 365, 367, 368, 369, 370, 371, 374, 375, 378, 410, 414, 428, 440, 446, 473, 484, 489, 490, 491, 496, 502, 509, 545, 615, 616, 617, 619, 621, 623, 624, 646, 647, 661, 669, 672, 673, 765, 778, 782, 793, 805, 809, 814, 832, 836, 852, 853, 856], "coordin": [48, 51, 62, 74, 75, 85, 134, 142, 223, 285, 314, 315, 322, 342, 362, 376, 501, 616, 619, 631, 734], "conserv": [48, 134, 616], "cartesian": [48, 134, 616], "matrix": [48, 52, 53, 56, 57, 75, 76, 79, 80, 92, 93, 95, 97, 134, 140, 141, 142, 322, 323, 362, 369, 371, 380, 418, 421, 422, 425, 426, 427, 429, 430, 431, 432, 433, 434, 435, 436, 437, 440, 441, 471, 510, 522, 528, 616, 621, 623, 624, 647, 653, 655, 657, 658, 659, 660, 662, 664, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 676, 678, 679, 682, 763, 765, 778, 779, 793, 804, 814, 826, 853, 855], "ij": [48, 65, 134, 616, 634, 746, 793], "respect": [48, 51, 52, 54, 57, 74, 75, 77, 80, 92, 134, 215, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 277, 281, 284, 285, 294, 342, 357, 360, 365, 367, 369, 371, 374, 424, 439, 450, 489, 491, 545, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 616, 619, 621, 622, 623, 624, 627, 636, 643, 644, 649, 654, 671, 674, 702, 703, 704, 760, 763, 778, 793, 803, 804, 805, 806, 809, 810, 812, 813, 814, 815, 816, 821, 822, 824, 825, 826, 829, 830, 831, 851, 861], "rank": [48, 52, 57, 59, 66, 75, 80, 82, 89, 92, 93, 94, 95, 96, 101, 134, 317, 318, 319, 320, 321, 362, 369, 371, 380, 426, 427, 435, 438, 441, 473, 481, 520, 616, 624, 626, 631, 635, 654, 656, 665, 667, 671, 673, 678, 680, 681, 688, 689, 697, 700, 701, 734, 754, 755], "ni": [48, 134, 616], "xi": [48, 134, 616], "scatter": [48, 53, 71, 76, 136, 564, 565, 616, 621, 811, 825, 832, 862], "j": [48, 51, 52, 53, 57, 65, 71, 74, 75, 80, 92, 120, 136, 216, 217, 218, 219, 221, 224, 233, 235, 238, 240, 248, 256, 258, 262, 268, 279, 281, 282, 285, 286, 332, 365, 368, 369, 380, 395, 396, 400, 411, 412, 416, 421, 423, 432, 438, 520, 525, 615, 616, 619, 621, 624, 634, 658, 678, 746, 793, 806, 807, 811, 848, 851], "unless": [48, 52, 57, 71, 75, 136, 268, 328, 344, 349, 365, 616, 619, 624, 667, 810, 815, 825, 840, 849, 850], "ones_lik": [48, 71, 616, 810, 839], "tril": [48, 71, 616], "whose": [48, 51, 52, 53, 57, 59, 63, 65, 71, 74, 75, 76, 80, 82, 86, 88, 93, 95, 97, 131, 140, 141, 217, 221, 224, 232, 233, 234, 273, 274, 280, 281, 285, 286, 287, 323, 337, 341, 345, 346, 348, 352, 362, 369, 371, 421, 440, 472, 481, 486, 527, 582, 616, 619, 621, 624, 626, 632, 634, 653, 655, 657, 658, 659, 660, 661, 662, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 678, 681, 690, 694, 736, 737, 738, 745, 746, 765, 817, 829], "innermost": [48, 52, 57, 80, 140, 141, 323, 362, 369, 421, 616, 624, 653, 655, 657, 658, 659, 660, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678], "mxn": [48, 52, 57, 80, 140, 141, 323, 362, 616, 624, 657, 665, 667, 668, 670, 671, 675, 678], "matric": [48, 52, 57, 75, 80, 92, 93, 97, 134, 140, 141, 323, 362, 369, 371, 421, 426, 427, 429, 433, 434, 439, 462, 616, 623, 624, 647, 653, 655, 657, 658, 659, 660, 661, 662, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 678, 679, 765, 802, 819, 855], "diagon": [48, 52, 57, 75, 80, 93, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 419, 422, 430, 436, 462, 616, 624, 656, 678], "triangular": [48, 52, 57, 80, 140, 141, 142, 322, 323, 362, 369, 436, 616, 624, 653, 659, 660, 667, 671], "alloc": [48, 49, 52, 72, 140, 141, 147, 323, 362, 616, 617, 804, 806, 840], "triu": [48, 71, 616], "upper": [48, 52, 57, 61, 75, 80, 84, 127, 141, 142, 307, 323, 362, 369, 380, 436, 513, 616, 624, 630, 653, 659, 660, 671, 728, 814, 825, 829], "zeros_lik": [48, 52, 71, 147, 264, 371, 481, 602, 603, 606, 608, 609, 610, 616, 617, 619, 622, 624, 626, 671, 686, 826, 832], "data_typ": [49, 52, 72, 75, 177, 617, 811, 814, 829, 830], "_arraywithdatatyp": [49, 97], "irrespect": [49, 57, 72, 80, 147, 617, 624, 674, 812, 825, 836, 862], "promot": [49, 51, 52, 57, 72, 74, 75, 80, 87, 97, 98, 147, 150, 173, 174, 175, 181, 216, 217, 218, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 232, 233, 235, 238, 240, 242, 256, 257, 258, 259, 260, 265, 268, 273, 277, 280, 281, 282, 283, 284, 285, 286, 289, 339, 347, 352, 365, 368, 380, 411, 510, 573, 595, 617, 619, 621, 624, 626, 634, 653, 654, 661, 662, 664, 665, 666, 667, 669, 670, 672, 673, 680, 681, 687, 697, 740, 748, 751, 763, 764, 808, 817, 818, 822, 831], "nan": [49, 51, 52, 53, 63, 65, 72, 74, 75, 76, 147, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 234, 235, 236, 238, 240, 241, 242, 243, 244, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 269, 271, 273, 274, 277, 278, 279, 280, 281, 282, 285, 286, 288, 294, 328, 329, 330, 340, 344, 349, 352, 360, 365, 371, 380, 481, 508, 509, 516, 517, 518, 519, 546, 600, 614, 617, 619, 621, 632, 634, 635, 736, 737, 738, 739, 747, 748, 749, 751, 752, 753, 754, 755, 763, 766, 808, 814, 817, 824, 830, 831], "infin": [49, 51, 53, 57, 72, 74, 80, 147, 215, 216, 217, 218, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 256, 257, 258, 259, 260, 263, 268, 269, 271, 273, 277, 278, 280, 281, 282, 285, 286, 288, 329, 330, 352, 365, 546, 614, 617, 619, 621, 624, 634, 635, 672, 681, 747, 749, 754, 755, 808, 817], "desir": [49, 50, 52, 62, 69, 72, 73, 75, 85, 92, 147, 149, 150, 209, 313, 353, 362, 365, 371, 380, 471, 516, 519, 520, 617, 618, 624, 631, 676, 733, 778, 779, 806, 810, 813, 814, 815, 826, 834, 844, 848, 855], "broadcast_arrai": [49, 72, 617], "mix": [49, 51, 72, 74, 75, 76, 81, 84, 97, 98, 148, 161, 162, 175, 194, 195, 225, 228, 229, 230, 235, 236, 242, 246, 254, 255, 265, 268, 271, 277, 370, 380, 447, 517, 536, 538, 539, 540, 541, 550, 584, 587, 617, 618, 619, 621, 623, 624, 625, 626, 629, 634, 637, 639, 642, 644, 645, 647, 652, 653, 676, 683, 685, 686, 724, 746, 748, 751, 764, 766, 804, 807, 814, 815, 816, 825, 832, 834, 842, 855, 859, 861], "broadcast_to": [49, 72, 617, 814], "can_cast": [49, 72, 617, 814, 822, 826], "accord": [49, 52, 53, 59, 65, 72, 82, 88, 150, 160, 218, 229, 235, 242, 268, 279, 313, 362, 368, 371, 412, 473, 540, 543, 564, 565, 617, 619, 621, 624, 626, 634, 680, 688, 701, 751, 753, 758, 765, 785, 792, 804, 805, 808, 814, 820, 822, 826, 829], "finfo": [49, 72, 617, 829], "resolut": [49, 72, 160, 617, 806], "4028235e": [49, 160, 617], "iinfo": [49, 72, 617], "integ": [49, 51, 52, 56, 57, 59, 61, 65, 66, 69, 74, 75, 76, 79, 80, 82, 84, 88, 89, 97, 98, 121, 130, 163, 164, 170, 174, 175, 179, 215, 225, 226, 227, 228, 229, 230, 231, 241, 242, 253, 265, 270, 273, 277, 278, 288, 289, 324, 325, 326, 329, 330, 334, 338, 339, 362, 365, 368, 371, 375, 378, 380, 395, 400, 410, 413, 414, 415, 459, 468, 473, 481, 487, 496, 497, 498, 499, 500, 502, 503, 508, 510, 511, 512, 517, 520, 543, 559, 569, 601, 616, 617, 619, 621, 623, 624, 626, 630, 633, 634, 635, 636, 637, 638, 639, 641, 643, 645, 654, 656, 666, 680, 681, 695, 725, 726, 727, 728, 729, 730, 742, 744, 745, 747, 748, 749, 750, 751, 752, 753, 754, 755, 763, 764, 765, 766, 771, 779, 793, 806, 812, 814, 824, 827, 829, 834, 836], "119": [49, 163], "1220": [49, 163], "int16": [49, 52, 61, 65, 72, 84, 150, 154, 156, 161, 163, 170, 185, 380, 511, 512, 617, 634, 726, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "32768": [49, 72, 163, 580, 621], "32767": [49, 72, 163], "is_bool_dtyp": [49, 72, 617], "is_float_dtyp": [49, 72, 617, 830], "is_int_dtyp": [49, 72, 617, 827, 830], "is_uint_dtyp": [49, 72, 617, 827, 830], "result_typ": [49, 72, 617, 814], "arrays_and_dtyp": [49, 72, 175, 617], "_arraywithdevic": [50, 97], "move": [50, 52, 73, 75, 142, 205, 209, 213, 322, 362, 371, 472, 616, 618, 781, 799, 806, 815, 830], "addit": [50, 52, 53, 60, 73, 75, 76, 83, 118, 120, 209, 218, 278, 374, 380, 494, 509, 514, 533, 534, 535, 601, 615, 618, 619, 621, 623, 627, 629, 649, 704, 724, 779, 793, 804, 805, 806, 810, 814, 816, 817, 820, 822, 824, 825, 826, 829, 830, 832, 836, 837, 839, 848, 855, 856, 857, 861], "__dlpack__": [50, 73, 128, 209, 616, 618], "caveat": [50, 73, 209, 370, 445, 618], "portabl": [50, 73, 209, 618, 799, 853], "_arraywithelementwis": [51, 97], "ab": [51, 57, 67, 74, 90, 97, 98, 273, 328, 344, 365, 371, 480, 619, 624, 628, 665, 675, 681, 713, 716, 760, 792, 793, 802, 809, 814, 819, 823, 826, 829], "absolut": [51, 52, 57, 67, 69, 74, 75, 80, 97, 215, 279, 328, 344, 347, 353, 365, 369, 370, 422, 437, 442, 444, 619, 624, 665, 666, 667, 672, 758, 760, 763, 765, 766, 800, 805], "aco": [51, 74, 619], "invers": [51, 52, 57, 74, 75, 80, 216, 217, 220, 221, 222, 223, 224, 368, 378, 390, 399, 401, 411, 502, 619, 624, 662, 666, 670, 785, 814], "cosin": [51, 74, 216, 217, 232, 233, 306, 309, 362, 368, 389, 399, 619, 779], "acosh": [51, 74, 161, 162, 617, 619, 802, 819], "area": [51, 52, 74, 75, 79, 217, 221, 224, 368, 403, 410, 414, 619, 825, 832, 845, 851], "hyperbol": [51, 74, 217, 221, 224, 233, 281, 285, 286, 298, 302, 360, 619], "sector": [51, 74, 217, 221, 224, 619, 845], "second": [51, 52, 54, 57, 59, 63, 74, 75, 76, 77, 80, 82, 86, 93, 97, 98, 118, 142, 173, 181, 218, 223, 225, 227, 228, 229, 230, 236, 242, 243, 244, 245, 246, 247, 253, 254, 255, 260, 261, 262, 264, 265, 268, 271, 273, 284, 313, 322, 328, 340, 342, 343, 344, 350, 354, 355, 362, 365, 369, 370, 371, 378, 380, 420, 421, 422, 424, 428, 447, 479, 486, 497, 499, 503, 510, 513, 525, 574, 596, 602, 603, 608, 615, 616, 617, 619, 621, 622, 624, 626, 627, 628, 632, 654, 657, 658, 659, 661, 664, 669, 671, 672, 674, 676, 678, 680, 697, 698, 703, 706, 736, 737, 738, 783, 805, 808, 811, 814, 816, 820, 825, 826, 829, 831, 836, 846, 860], "multipli": [51, 52, 56, 65, 74, 75, 79, 92, 218, 284, 345, 368, 369, 403, 432, 433, 511, 512, 619, 623, 634, 646, 744, 750, 806, 809, 810, 812, 816], "angl": [51, 74, 223, 233, 281, 286, 343, 365, 619], "deg": [51, 74, 219, 619], "radian": [51, 52, 74, 75, 216, 219, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 619, 817], "degre": [51, 52, 65, 74, 75, 88, 219, 234, 274, 316, 362, 371, 479, 619, 634, 751, 753, 854], "1j": [51, 74, 75, 219, 220, 232, 233, 238, 240, 252, 275, 280, 281, 285, 332, 579, 619, 621], "2j": [51, 52, 74, 75, 219, 248, 332, 368, 395, 400, 580, 619, 621], "3j": [51, 52, 74, 75, 219, 252, 275, 332, 365, 619], "35619449": [51, 219, 619], "78539816": [51, 219, 619], "135": [51, 219, 528, 619, 621], "asin": [51, 74, 619], "sine": [51, 74, 220, 221, 280, 281, 619], "927": [51, 74, 220], "asinh": [51, 74, 220, 619], "atan": [51, 74, 619], "tangent": [51, 74, 222, 223, 224, 285, 286, 298, 302, 358, 360, 367, 619, 817], "785": [51, 74, 222, 223, 619], "atan2": [51, 74, 619], "quotient": [51, 74, 223, 235, 242, 619], "245": [51, 79, 223, 623, 646, 647], "588": [51, 223, 619], "inf": [51, 52, 53, 57, 74, 75, 76, 80, 223, 240, 249, 250, 251, 252, 256, 257, 259, 269, 294, 347, 360, 365, 369, 380, 418, 513, 546, 600, 614, 619, 621, 623, 624, 650, 665, 681, 763, 766, 802, 814, 819, 824], "719": [51, 223, 619], "197": [51, 223, 619], "atanh": [51, 74, 619], "549": [51, 74, 79, 224, 619, 623, 647], "bitwise_and": [51, 74, 619], "bitwise_invert": [51, 74, 619], "bitiwse_invert": [51, 226], "bitwise_left_shift": [51, 74, 619], "bitwise_or": [51, 74, 619], "bitwise_right_shift": [51, 74, 97, 619], "bitwise_xor": [51, 74, 97, 619], "ceil": [51, 52, 74, 75, 92, 95, 121, 368, 386, 387, 388, 404, 405, 406, 409, 616, 619, 779, 825], "round": [51, 52, 74, 75, 92, 94, 95, 96, 218, 231, 235, 241, 242, 268, 282, 288, 289, 338, 365, 619, 802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846], "416": [51, 232, 619], "540": [51, 232], "990": [51, 232], "cosh": [51, 74, 232, 619], "deg2rad": [51, 74, 619], "convers": [51, 52, 75, 234, 274, 566, 576, 621, 780, 781, 804, 833, 835, 839, 840, 842, 846, 854, 861], "180": [51, 74, 234, 274, 619], "270": [51, 74, 234, 274, 619], "360": [51, 74, 234, 274, 619, 813], "dividend": [51, 74, 235, 242, 277, 289, 619], "divisor": [51, 52, 54, 65, 74, 75, 77, 88, 235, 242, 245, 246, 277, 289, 368, 371, 386, 387, 388, 459, 468, 487, 602, 603, 608, 619, 622, 634, 751, 753, 779, 783], "375": [51, 236, 271], "erf": [51, 74, 337, 365, 619], "exponenti": [51, 52, 74, 75, 237, 238, 240, 260, 273, 290, 299, 360, 369, 431, 619], "gauss": [51, 74, 237, 619], "328": [51, 237, 285, 619], "677": [51, 237], "842": [51, 237, 285, 619], "71828198": [51, 74, 238], "38905573": [51, 74, 238], "08553696": [51, 74, 238, 619], "exp2": [51, 74, 619], "expm1": [51, 74, 619, 814], "244": [51, 240, 799], "918": [51, 240], "147": [51, 240, 619], "floor": [51, 52, 74, 75, 92, 95, 229, 242, 368, 386, 387, 388, 390, 404, 405, 406, 409, 619, 779, 825], "floor_divid": [51, 74, 619, 771, 814], "fmin": [51, 74, 619, 814], "gcd": [51, 74, 619, 814], "greater": [51, 52, 56, 59, 61, 74, 75, 79, 84, 97, 98, 129, 216, 217, 220, 221, 223, 224, 227, 229, 235, 241, 242, 256, 258, 273, 277, 279, 281, 282, 286, 287, 288, 331, 365, 368, 390, 395, 400, 411, 616, 619, 623, 624, 626, 630, 652, 654, 666, 696, 728, 765, 779, 806, 827], "greater_equ": [51, 74, 97, 98, 260, 619], "imaginari": [51, 74, 97, 107, 110, 113, 137, 138, 216, 217, 218, 233, 235, 236, 238, 240, 248, 268, 270, 271, 278, 281, 282, 286, 332, 365, 368, 369, 411, 422, 613, 616, 619, 631, 734, 816], "4j": [51, 74, 248, 368, 411, 580, 619, 621], "6j": [51, 52, 74, 248, 252, 332, 619], "isfinit": [51, 74, 619, 826], "out_i": [51, 74, 249, 250, 251, 252, 275, 619], "self_i": [51, 74, 249, 250, 251, 252, 275], "finit": [51, 74, 215, 216, 217, 218, 221, 223, 224, 233, 235, 236, 238, 240, 242, 249, 250, 256, 258, 268, 269, 271, 273, 277, 281, 282, 286, 619], "isinf": [51, 74, 619], "detect_posit": [51, 74, 250, 619], "detect_neg": [51, 74, 250, 619], "isnan": [51, 74, 619], "isreal": [51, 74, 619], "5j": [51, 74, 75, 252, 275, 332, 365, 619], "lcm": [51, 74, 619, 814], "less": [51, 52, 57, 61, 65, 74, 75, 80, 84, 97, 98, 216, 217, 220, 223, 224, 231, 235, 242, 256, 257, 258, 259, 273, 277, 279, 282, 351, 365, 368, 369, 380, 389, 390, 399, 411, 435, 441, 510, 513, 619, 624, 630, 634, 665, 666, 667, 670, 681, 728, 751, 753, 779, 805, 806, 812, 814, 816, 818, 821, 826, 829, 832, 833, 834, 845, 855, 857], "less_equ": [51, 74, 97, 98, 619, 818], "log10": [51, 52, 74, 313, 362, 619], "logarithm": [51, 74, 238, 256, 257, 258, 259, 260, 336, 347, 365, 619, 624, 672], "602": [51, 257, 619], "699": [51, 257, 619], "log1p": [51, 74, 619, 824], "693": [51, 74, 112, 221, 258, 613, 619, 625, 685], "0953": [51, 74, 256, 258, 619], "log2": [51, 74, 261, 619], "logaddexp": [51, 74, 619], "logaddexp2": [51, 74, 619, 802, 819], "169925": [51, 74, 261, 619], "logical_and": [51, 74, 619, 826, 832, 862], "logical_not": [51, 74, 619, 814], "logical_or": [51, 74, 619, 862], "conform": [51, 57, 74, 121, 122, 123, 125, 126, 127, 128, 130, 131, 132, 134, 137, 138, 139, 140, 141, 143, 144, 150, 160, 163, 175, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 242, 246, 247, 248, 249, 250, 251, 255, 257, 258, 259, 260, 262, 263, 264, 265, 268, 270, 271, 272, 273, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 329, 330, 332, 365, 368, 371, 380, 411, 481, 510, 616, 617, 619, 624, 626, 631, 632, 633, 634, 635, 653, 654, 655, 656, 657, 659, 660, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 680, 681, 687, 689, 690, 691, 693, 694, 696, 697, 701, 731, 732, 734, 735, 736, 737, 738, 739, 740, 743, 747, 748, 749, 750, 751, 752, 753, 754, 755, 817, 820], "api_specif": [51, 52, 74, 75, 150, 238, 248, 249, 264, 329, 330, 365, 368, 371, 411, 481, 617, 619, 626, 634, 701, 751, 817], "array_api": [51, 74, 150, 238, 248, 249, 264, 368, 371, 411, 481, 617, 619, 624, 626, 634, 672, 673, 701, 751, 817], "logical_xor": [51, 74, 619], "maximum": [51, 52, 53, 54, 59, 62, 65, 69, 74, 75, 76, 77, 82, 85, 88, 98, 208, 293, 329, 330, 340, 353, 360, 365, 368, 369, 371, 380, 384, 394, 435, 438, 441, 473, 511, 513, 518, 528, 529, 537, 545, 608, 618, 619, 621, 622, 624, 626, 631, 634, 665, 686, 731, 732, 747, 749, 763, 765, 766, 771, 793, 806, 814, 816, 825, 837, 862], "use_wher": [51, 74, 266, 267, 619], "formula": [51, 52, 74, 235, 257, 259, 266, 267, 268, 313, 346, 362, 365, 374, 489, 491, 619], "exce": [51, 52, 75, 267, 371, 483, 619], "product": [51, 52, 56, 57, 65, 74, 75, 79, 80, 88, 92, 93, 95, 268, 358, 359, 367, 369, 380, 417, 420, 424, 427, 428, 429, 432, 433, 434, 511, 512, 519, 619, 623, 624, 634, 649, 652, 654, 661, 664, 669, 676, 680, 744, 745, 746, 750, 751, 793, 804, 834, 855, 857], "nan_to_num": [51, 74, 619], "posinf": [51, 74, 269, 619], "neginf": [51, 74, 269, 619], "5e": [51, 54, 74, 75, 269, 350, 608, 619, 622], "not_equ": [51, 74, 97, 98, 619], "pow": [51, 74, 97, 98, 619, 808], "expon": [51, 52, 53, 75, 76, 273, 339, 341, 345, 365, 374, 494, 580, 619, 621, 624, 666], "rad2deg": [51, 74, 619], "286": [51, 75, 274], "458": [51, 274], "573": [51, 274, 619], "reciproc": [51, 74, 619], "333": [51, 74, 235, 276, 529, 619, 621], "remaind": [51, 52, 59, 69, 74, 75, 82, 244, 619, 626, 695, 808, 825], "modulu": [51, 74, 277, 619, 825], "sign": [51, 52, 57, 63, 65, 74, 75, 80, 92, 121, 215, 216, 217, 218, 221, 223, 224, 229, 233, 235, 238, 240, 242, 268, 270, 277, 281, 282, 286, 333, 365, 369, 371, 380, 437, 480, 481, 511, 512, 616, 619, 624, 632, 634, 672, 736, 737, 738, 739, 744, 745, 750, 752, 799, 805, 814, 834, 839, 845], "x2_i": [51, 74, 218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 619, 808], "decim": [51, 74, 278, 619, 831], "0001": [51, 52, 75, 278, 279, 369, 435, 441, 763, 766, 783], "678": [51, 278, 279], "np_variant": [51, 74, 279, 619], "841": [51, 68, 74, 105, 280, 613, 619], "909": [51, 74, 76, 280, 619], "141": [51, 74, 147, 280, 617, 619], "sinh": [51, 74, 280, 619], "232": [51, 74, 281, 619], "sqrt": [51, 52, 74, 75, 368, 390, 395, 396, 400, 401, 411, 619, 778, 779, 799], "squar": [51, 52, 57, 74, 75, 80, 282, 369, 370, 374, 380, 421, 431, 442, 494, 510, 604, 605, 607, 612, 619, 622, 624, 628, 653, 655, 656, 658, 659, 660, 662, 666, 672, 673, 674, 679, 711, 799], "tanh": [51, 52, 74, 75, 285, 298, 302, 360, 619, 775, 834], "762": [51, 74, 286, 619], "964": [51, 74, 286, 619], "trapz": [51, 74, 619], "dx": [51, 74, 287, 619], "apart": [51, 74, 287, 619], "trapezoid": [51, 74, 287, 619], "trunc": [51, 74, 619], "025": [51, 288, 370, 447, 619, 627, 704], "trunc_divid": [51, 74, 619], "_arraywithactivationsexperiment": [52, 97], "celu": [52, 75, 360], "formul": [52, 68, 75, 93, 105, 290, 292, 360, 775], "elu": [52, 75, 293, 360, 775], "scaler": [52, 75, 291, 360, 763, 766, 829], "hardshrink": [52, 75, 360], "lambd": [52, 75, 292, 301, 360], "hardtanh": [52, 75, 360], "max_val": [52, 75, 293, 360], "min_val": [52, 75, 293, 360], "region": [52, 75, 293, 301, 360, 805], "19722438": [52, 75, 294, 360], "38629448": [52, 75, 294, 360], "38629436": [52, 75, 294, 360], "logsigmoid": [52, 75, 360, 775], "31326175": [52, 68, 295, 360], "126928": [52, 75, 295], "01814993": [52, 295], "00004578": [52, 295], "57888985": [52, 295], "31326169": [52, 75, 295, 360], "69314718": [52, 57, 68, 75, 80, 295, 347, 360, 365, 624, 672], "01104775": [52, 295], "prelu": [52, 75, 360, 775], "unidirect": [52, 296, 360], "relu6": [52, 75, 360, 775], "rectifi": [52, 68, 75, 107, 109, 110, 297, 300, 305, 360, 613], "scaled_tanh": [52, 75, 302, 360], "7159": [52, 75, 298, 302, 360], "amplitud": [52, 75, 298, 302, 360], "65537548": [52, 75, 298], "49570239": [52, 75, 298], "77637792": [52, 298], "selu": [52, 75, 360, 775], "11133075": [52, 299, 360], "05070102": [52, 75, 299, 360], "10140204": [52, 299, 360], "15210295": [52, 299, 360], "20280409": [52, 299, 360], "25350523": [52, 299, 360], "30420589": [52, 299, 360], "35490704": [52, 299, 360], "silu": [52, 75, 360, 775], "26894143": [52, 300], "73105854": [52, 75, 300], "softshrink": [52, 75, 360], "bound": [52, 75, 301, 313, 360, 362, 371, 456, 481, 482, 763, 814, 818, 826, 829, 834, 861], "tanhshrink": [52, 75, 360], "23840582": [52, 75, 303, 360], "condit": [52, 62, 75, 85, 118, 304, 319, 320, 362, 369, 418, 615, 628, 631, 715, 716, 735, 765, 808, 814, 816, 818, 822, 823, 825, 829, 848], "met": [52, 75, 304, 818], "hreshold": [52, 304], "thresholded_relu": [52, 75, 360], "_arraywithconversionsexperiment": [52, 97], "_arraywithcreationexperiment": [52, 97], "blackman_window": [52, 75, 362], "period": [52, 75, 281, 285, 306, 308, 309, 311, 312, 362, 368, 402, 619, 806], "window": [52, 56, 75, 79, 306, 308, 309, 311, 312, 327, 362, 368, 374, 386, 387, 388, 390, 404, 405, 406, 407, 409, 410, 414, 415, 494, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 779, 801, 806, 811, 819, 860], "symmetr": [52, 57, 75, 80, 92, 93, 306, 308, 309, 311, 312, 362, 369, 371, 421, 473, 624, 653, 658, 659, 660, 682, 812], "38777878e": [52, 75, 306, 362], "40000000e": [52, 306, 362], "00000000e": [52, 57, 75, 76, 306, 337, 362, 368, 389, 395, 399, 400, 624, 671, 802, 819], "30000000e": [52, 75, 306, 362], "eye_lik": [52, 75, 362], "elsewher": [52, 75, 127, 307, 362, 616, 631, 735, 805], "mel_weight_matrix": [52, 75, 362], "num_mel_bin": [52, 75, 313, 362], "dft_length": [52, 75, 313, 362, 368, 390], "sample_r": [52, 75, 313, 362], "lower_edge_hertz": [52, 75, 313, 362], "upper_edge_hertz": [52, 75, 313, 362], "3000": [52, 75, 313, 362], "melweightmatrix": [52, 75, 313, 362], "linearli": [52, 53, 76, 313, 362, 537, 621, 624, 673], "frequenc": [52, 53, 75, 76, 313, 362, 380, 510, 537, 621, 806], "spectra": [52, 313, 362], "dft": [52, 75, 313, 362, 368], "stft": [52, 75, 313, 362, 368], "mel": [52, 75, 313, 362], "term": [52, 75, 306, 313, 316, 362, 370, 445, 446, 623, 648, 779, 793, 799, 806, 812, 834, 842, 844, 855], "hertz": [52, 313, 362], "2595": [52, 313, 362], "700": [52, 76, 313, 362, 541], "band": [52, 53, 75, 76, 313, 362, 537, 621], "spectrum": [52, 75, 313, 362], "n_fft": [52, 75, 313, 362, 368, 390], "signal": [52, 75, 313, 362, 368, 382, 383, 384, 389, 390, 399, 415, 779, 854, 855], "8000": [52, 75, 308, 313, 362], "75694758": [52, 313, 362], "trilu": [52, 75, 362], "retain": [52, 142, 322, 323, 362, 604, 616, 622, 824, 828, 842], "unsorted_segment_mean": [52, 75, 362], "segment_id": [52, 75, 324, 325, 326, 362, 785], "num_seg": [52, 75, 324, 325, 326, 362, 785], "identifi": [52, 75, 324, 325, 326, 362, 804, 808, 813, 814, 829, 832], "th": [52, 75, 93, 324, 325, 326, 335, 362, 365, 369, 380, 419, 426, 520], "distinct": [52, 63, 75, 324, 325, 326, 362, 632, 736, 737, 738, 739, 805, 812, 817, 824, 825, 826, 833, 845, 855], "unsorted_segment_min": [52, 75, 362], "unsorted_segment_sum": [52, 75, 362], "polyv": [52, 75, 362], "coeff": [52, 75, 316, 362], "polynomi": [52, 75, 316, 362], "coeffici": [52, 75, 308, 316, 362, 369, 436, 624, 673, 783], "indetermin": [52, 75, 316, 362], "simplifi": [52, 75, 316, 362, 792, 793, 818, 826, 834, 835, 838, 845, 848, 851, 853, 854, 855, 858, 861, 862], "substitut": [52, 75, 316, 362], "_arraywithdata_typeexperiment": [52, 97], "_arraywithdeviceexperiment": [52, 97], "_arraywithelementwiseexperiment": [52, 97], "equal_nan": [52, 75, 328, 344, 365], "toler": [52, 57, 75, 80, 328, 344, 365, 369, 422, 435, 441, 624, 667, 670, 758, 760, 808, 827, 855], "1e10": [52, 328, 344, 365], "00001e10": [52, 328, 344, 365], "00001e": [52, 328, 365], "amax": [52, 75, 365], "keepdim": [52, 57, 59, 62, 65, 66, 69, 75, 80, 82, 85, 88, 89, 329, 330, 334, 349, 356, 365, 366, 371, 380, 478, 515, 516, 517, 518, 519, 520, 624, 626, 631, 634, 635, 665, 681, 700, 731, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 818, 826, 834], "singleton": [52, 57, 62, 65, 66, 75, 80, 85, 88, 89, 329, 330, 365, 624, 626, 631, 634, 635, 681, 689, 696, 732, 747, 748, 749, 750, 751, 752, 753, 754, 755, 834], "amin": [52, 75, 365], "binar": [52, 75, 365], "map": [52, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 91, 98, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 365, 368, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 601, 606, 611, 621, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 712, 713, 717, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 793, 809, 812, 814, 821, 822, 826, 829, 830, 837, 840, 842, 849, 856], "conj": [52, 75, 233, 238, 240, 281, 282, 286, 365, 619], "conjug": [52, 57, 75, 80, 332, 365, 368, 369, 375, 390, 416, 422, 432, 434, 436, 498, 624, 664, 668, 676], "copysign": [52, 75, 365], "unsign": [52, 65, 75, 333, 365, 371, 380, 481, 511, 512, 634, 744, 745, 750, 752, 764, 814, 834], "count_nonzero": [52, 75, 365], "diff": [52, 69, 75, 365, 816, 825], "prepend": [52, 75, 335, 365, 624, 626, 664, 689, 805], "differenc": [52, 75, 335, 365], "prior": [52, 75, 335, 365, 375, 498, 624, 676, 818, 830], "expand": [52, 53, 59, 75, 76, 335, 365, 371, 537, 621, 626, 689, 812, 828], "discret": [52, 75, 335, 365, 368, 389, 390, 395, 396, 399, 400, 401, 411, 412, 625, 684, 779], "digamma": [52, 75, 365], "7549271": [52, 336, 365], "92278427": [52, 75, 336, 365], "9988394": [52, 336, 365], "erfc": [52, 75, 365], "complementari": [52, 75, 327, 337, 362, 365, 853, 861], "84270084e": [52, 337], "80259693e": [52, 337], "toward": [52, 59, 75, 82, 242, 289, 338, 350, 365, 371, 380, 479, 513, 619, 626, 694, 799, 802, 804, 805, 819, 834, 851, 855], "float_pow": [52, 75, 365], "fmax": [52, 75, 365], "fmod": [52, 75, 619], "divis": [52, 53, 54, 75, 76, 77, 229, 235, 242, 244, 277, 279, 289, 371, 459, 571, 579, 593, 602, 603, 608, 619, 621, 622, 623, 636, 643, 644, 783, 822, 831], "frexp": [52, 75, 365], "edge_ord": [52, 75, 342, 365], "estim": [52, 75, 342, 365, 380, 510], "boundari": [52, 61, 75, 84, 95, 319, 320, 342, 362, 365, 368, 403, 630, 728, 855], "33333333": [52, 75, 276, 342, 365, 619], "hypot": [52, 75, 365], "hypotenus": [52, 343, 365], "4031": [52, 343, 365], "8102": [52, 343, 365], "isclos": [52, 75, 365, 808], "ldexp": [52, 75, 365], "lerp": [52, 75, 365], "lgamma": [52, 365], "45373654": [52, 347, 365], "6477685": [52, 347, 365], "modf": [52, 75, 365], "fraction": [52, 75, 348, 365, 380, 520, 623, 646], "nansum": [52, 75, 365], "accumul": [52, 75, 349, 365, 371, 478], "nextaft": [52, 75, 365], "0e": [52, 54, 75, 77, 350, 365, 608, 622], "4013e": [52, 75, 350, 365], "4028e": [52, 75, 350, 365], "signbit": [52, 75, 365], "637": [52, 75, 352, 365], "0909": [52, 75, 352, 365], "sparsify_tensor": [52, 75, 365], "sparsifi": [52, 75, 353, 365], "arang": [52, 57, 65, 75, 80, 132, 353, 365, 368, 369, 386, 387, 388, 395, 400, 404, 405, 406, 409, 418, 433, 465, 560, 601, 616, 621, 624, 627, 634, 665, 681, 703, 704, 746, 799, 814, 825, 862], "xlogi": [52, 75, 365], "0986": [52, 75, 354, 365], "3863": [52, 75, 354, 365], "0000": [52, 75, 308, 309, 312, 354, 362, 365, 369, 371, 431, 467], "zeta": [52, 75, 365], "0369": [52, 75, 355, 365], "_arraywithgeneralexperiment": [52, 97], "init_valu": [52, 75, 79, 356, 366, 368, 410], "reduct": [52, 53, 58, 66, 69, 75, 76, 79, 81, 89, 356, 366, 368, 370, 371, 410, 442, 443, 444, 445, 446, 447, 448, 478, 534, 564, 565, 621, 625, 635, 683, 684, 685, 754, 755, 780, 814, 822, 825, 829, 836], "_arraywithgradientsexperiment": [52, 97], "_arraywithimageexperiment": [52, 97], "_arraywithlayersexperiment": [52, 97], "adaptive_avg_pool1d": [52, 75, 368], "1d": [52, 75, 92, 93, 368, 369, 371, 380, 382, 389, 391, 393, 399, 432, 451, 456, 478, 482, 510, 763, 779], "adapt": [52, 75, 77, 368, 382, 383, 384, 609, 622, 779, 783, 845], "pool": [52, 75, 79, 368, 382, 383, 384, 386, 387, 388, 404, 405, 406, 407, 410, 779, 805], "plane": [52, 75, 235, 238, 240, 268, 280, 281, 282, 285, 368, 371, 382, 383, 384, 479, 619], "l_in": [52, 75, 368, 382], "spatial": [52, 56, 75, 79, 368, 374, 382, 383, 384, 403, 410, 414, 489, 490, 491, 494, 623, 636, 637, 638, 639, 641, 643, 645, 782], "Will": [52, 75, 368, 382, 383, 384, 788, 840], "l_out": [52, 75, 368, 382], "nhwc": [52, 56, 75, 79, 368, 374, 383, 387, 392, 405, 409, 494, 623, 636, 639, 640, 643, 644, 645, 779], "3d": [52, 57, 75, 368, 383, 391, 392, 453, 624, 661, 779, 832], "4d": [52, 75, 368, 369, 374, 383, 392, 393, 440, 494], "s_0": [52, 75, 368, 383, 384], "s_1": [52, 75, 368, 383, 384], "adaptive_max_pool2d": [52, 75, 368], "h_in": [52, 75, 368, 384], "w_in": [52, 75, 368, 384], "avg_pool1d": [52, 75, 368], "kernel": [52, 56, 75, 79, 368, 386, 387, 388, 404, 405, 406, 407, 623, 648, 834, 840, 855, 858, 859], "nwc": [52, 56, 75, 79, 368, 386, 391, 404, 407, 623, 636, 637, 638, 643, 644, 779], "count_include_pad": [52, 75, 368, 386, 387, 388, 779], "d_in": [52, 56, 75, 79, 368, 386, 387, 388, 390, 395, 396, 400, 404, 405, 406, 407, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645], "algorithm": [52, 56, 68, 75, 79, 105, 368, 369, 386, 387, 388, 403, 404, 405, 406, 407, 435, 437, 441, 624, 637, 639, 640, 641, 642, 645, 672, 775, 779, 793, 814, 826, 832, 840, 855, 857, 859], "ncw": [52, 56, 75, 79, 368, 386, 391, 392, 404, 407, 623, 636, 637, 638, 643, 644, 779], "avg_pool2d": [52, 75, 368], "divisor_overrid": [52, 75, 368, 386, 387, 388, 779], "avg_pool3d": [52, 75, 368], "ndhwc": [52, 56, 75, 79, 368, 388, 393, 406, 623, 636, 641, 642, 643, 644, 779], "volum": [52, 56, 75, 79, 368, 388, 390, 395, 396, 400, 406, 623, 641, 642], "ncdhw": [52, 56, 75, 79, 368, 388, 393, 406, 623, 636, 641, 642, 643, 644, 779], "dct": [52, 75, 368, 779, 837], "truncat": [52, 75, 368, 369, 389, 395, 399, 400, 401, 412, 439, 567, 621, 779, 818, 837], "larger": [52, 59, 65, 75, 82, 88, 160, 368, 389, 396, 399, 401, 412, 617, 626, 634, 686, 694, 751, 753, 779, 829, 832, 862], "ortho": [52, 75, 368, 389, 390, 395, 396, 399, 400, 401, 411, 412, 779], "onesid": [52, 75, 368, 390], "fft": [52, 75, 368, 390, 396, 411, 412, 415, 779, 804, 855], "symmetri": [52, 368, 390], "rfft": [52, 75, 368, 390, 412], "invok": [52, 368, 390, 799, 820, 848, 849], "batch_idx": [52, 368, 390], "signal_dim1": [52, 368, 390], "signal_dim2": [52, 368, 390], "signal_dimn": [52, 368, 390], "signal_dim": [52, 368, 390], "embed": [52, 75, 368, 623, 649, 765, 779, 855], "max_norm": [52, 53, 75, 76, 368, 394, 528, 529, 621, 779], "ifft": [52, 75, 368, 395, 401, 779], "pi": [52, 75, 281, 285, 368, 370, 395, 400, 446, 614, 619], "44509285e": [52, 75, 368, 395], "14423775e": [52, 75, 368, 395], "17j": [52, 75, 368, 395, 400], "11483250e": [52, 75, 368, 395], "16j": [52, 75, 368, 395, 400], "33486982e": [52, 75, 368, 395], "22464680e": [52, 75, 368, 395], "95799250e": [52, 75, 368, 395], "66951701e": [52, 75, 368, 395], "fft2": [52, 368], "vari": [52, 63, 92, 93, 286, 396, 533, 619, 621, 624, 632, 671, 737, 738, 739, 793, 812, 816, 826, 829, 836], "20477401j": [52, 368, 396], "0614962j": [52, 368, 396], "idct": [52, 75, 368], "49862671": [52, 75, 368, 389, 399], "37691498": [52, 75, 368, 389, 399], "00390816": [52, 75, 368, 389, 399], "58938599": [52, 75, 368, 389, 399], "92713165": [52, 75, 368, 389, 399], "078475": [52, 75, 368, 389, 399], "19664812": [52, 75, 368, 389, 399], "95411837": [52, 75, 368, 389, 399], "30636606e": [52, 75, 368, 400], "43029718e": [52, 75, 368, 400], "18j": [52, 75, 368, 395, 400], "53080850e": [52, 75, 368, 400], "58689626e": [52, 75, 368, 400], "24474906e": [52, 75, 368, 400], "91858728e": [52, 75, 368, 400], "01435406e": [52, 75, 368, 400], "ifftn": [52, 75, 368], "24730653": [52, 75, 368, 401], "90832391j": [52, 75, 368, 401], "49495562": [52, 75, 368, 401], "9039565j": [52, 75, 368, 401], "98193269": [52, 75, 368, 401], "49560517j": [52, 75, 368, 401], "93280757": [52, 75, 368, 401], "48075343j": [52, 75, 368, 401], "28526384": [52, 75, 368, 401], "3351205j": [52, 75, 368, 401], "2343787": [52, 75, 368, 401], "83528011j": [52, 75, 368, 401], "18791352": [52, 75, 368, 401], "30690572j": [52, 75, 368, 401], "82115787": [52, 75, 368, 401], "96195183j": [52, 75, 368, 401], "44719226": [52, 75, 368, 401], "72654048j": [52, 75, 368, 401], "51476765": [52, 368, 401], "66160417j": [52, 368, 401], "04319742": [52, 368, 401], "05411636j": [52, 368, 401], "015561": [52, 368, 401], "04216015j": [52, 368, 401], "06310689": [52, 368, 401], "05347854j": [52, 368, 401], "13392983": [52, 368, 401], "16052352j": [52, 368, 401], "08371392": [52, 368, 401], "17252843j": [52, 368, 401], "0031429": [52, 368, 401], "05421245j": [52, 368, 401], "10446617": [52, 368, 401], "17747098j": [52, 368, 401], "05344324": [52, 368, 401], "07972424j": [52, 368, 401], "8344667": [52, 75, 368, 401], "98222595j": [52, 75, 368, 401], "48472244": [52, 75, 368, 401], "30233797j": [52, 75, 368, 401], "recompute_scale_factor": [52, 75, 368, 403, 832], "antialia": [52, 75, 368, 403, 832], "height": [52, 53, 56, 75, 76, 79, 368, 403, 533, 621, 623, 639, 640, 641, 642, 645, 837], "width": [52, 53, 56, 75, 76, 79, 368, 369, 371, 374, 380, 403, 422, 473, 494, 513, 533, 621, 623, 637, 638, 639, 640, 641, 642, 645, 649], "trilinear": [52, 75, 368, 403, 832], "nearest_exact": [52, 75, 368, 403, 832], "tf_area": [52, 75, 368, 403, 832], "mitchellcub": [52, 75, 368, 403, 832], "lanczos3": [52, 75, 368, 403, 832], "lanczos5": [52, 75, 368, 403, 832], "gaussian": [52, 75, 105, 368, 403, 613, 832], "overwrit": [52, 69, 75, 208, 368, 403, 618, 806, 825, 826, 834], "thu": [52, 75, 229, 242, 277, 285, 286, 368, 369, 403, 421, 619, 624, 658, 659, 804, 813, 818, 823, 826, 830], "antialias": [52, 75, 403], "max_pool1d": [52, 75, 368], "dilaton": [52, 75, 404, 405, 406], "max_pool3d": [52, 75, 368], "max_unpool1d": [52, 75, 368], "unpool": [52, 75, 368, 407], "reduce_window": [52, 79, 368], "window_dimens": [52, 79, 368, 410], "window_strid": [52, 79, 368, 410], "base_dil": [52, 79, 368, 410], "window_dil": [52, 79, 368, 410], "trim": [52, 69, 75, 368, 371, 411, 484], "orthonorm": [52, 57, 75, 80, 368, 411, 624, 671, 674], "8660254j": [52, 75, 368, 411], "rfftn": [52, 75, 368], "sliding_window": [52, 75, 368], "window_s": [52, 75, 368, 414], "frame_length": [52, 75, 368, 415], "frame_step": [52, 75, 368, 415], "fft_length": [52, 75, 368, 415], "window_fn": [52, 75, 368, 415], "pad_end": [52, 75, 368, 415], "smallest": [52, 69, 75, 160, 163, 231, 368, 371, 415, 483, 617, 619, 624, 665, 763, 765, 766], "enclos": [52, 75, 368, 415, 856], "window_length": [52, 75, 306, 308, 311, 312, 327, 362, 368, 415], "li": [52, 75, 368, 369, 380, 415, 422, 520, 844], "past": [52, 75, 368, 415, 806, 808, 827, 829, 841, 855], "fft_unique_bin": [52, 75, 368, 415], "complex64": [52, 72, 75, 153, 167, 176, 182, 248, 275, 368, 411, 415, 617, 619, 624, 672, 674, 675, 764, 814, 819], "complex128": [52, 75, 76, 153, 154, 167, 176, 182, 368, 415, 559, 617, 621, 624, 659, 660, 665, 681, 763, 764, 802, 814, 819], "compon": [52, 75, 137, 138, 216, 217, 218, 221, 224, 233, 235, 236, 238, 240, 268, 270, 271, 278, 281, 282, 285, 286, 317, 321, 332, 362, 365, 368, 369, 374, 415, 426, 435, 494, 616, 619, 631, 734, 799, 828, 834, 845, 851, 856, 858], "linear_algebra": [52, 57, 75, 80, 624, 830], "_arraywithlinearalgebraexperiment": [52, 97], "adjoint": [52, 57, 75, 80, 369, 436, 624, 662, 673, 674, 763], "batched_out": [52, 75, 369], "j1": [52, 75, 369, 417], "jn": [52, 75, 369, 417], "k1": [52, 75, 369, 417], "km": [52, 75, 369, 417], "outer": [52, 57, 75, 80, 92, 369, 417, 624, 627, 702, 703, 704, 793, 804], "30000001": [52, 75, 369, 417, 533, 621, 632, 737], "40000001": [52, 56, 68, 75, 97, 98, 107, 110, 291, 360, 369, 417, 613, 623, 632, 652, 737], "60000002": [52, 75, 88, 98, 369, 374, 417, 493, 495, 748], "80000001": [52, 75, 369, 374, 417, 493, 495], "60000001": [52, 75, 369, 417], "90000004": [52, 75, 369, 417, 634, 748], "20000002": [52, 75, 369, 417], "20000005": [52, 54, 75, 291, 298, 301, 302, 360, 369, 417, 602], "00000012": [52, 75, 369, 417], "49999994": [52, 75, 369, 417], "00000006": [52, 75, 369, 417], "60000014": [52, 75, 369, 417], "19999993": [52, 75, 369, 417], "80000007": [52, 75, 369, 417], "20000017": [52, 75, 369, 417], "89999992": [52, 75, 369, 417], "60000008": [52, 75, 369, 417], "80000019": [52, 75, 346, 365, 369, 417], "4000001": [52, 75, 79, 369, 417, 623, 646, 652], "cond": [52, 75, 118, 369, 615, 840], "933034373659268": [52, 418], "diagflat": [52, 75, 369, 428, 431], "offset": [52, 57, 60, 71, 75, 80, 83, 129, 369, 374, 419, 489, 490, 491, 616, 624, 629, 657, 678, 724, 770], "padding_valu": [52, 75, 369, 419], "right_left": [52, 75, 369, 419], "num_row": [52, 75, 369, 419], "num_col": [52, 75, 369, 419], "dot": [52, 56, 75, 79, 92, 369, 433, 623, 624, 649, 652, 680, 793, 799, 805, 813], "eig": [52, 57, 75, 369, 624, 659, 660], "37228132": [52, 75, 369, 421, 423, 658], "82456484": [52, 421, 658], "41597356": [52, 421, 658], "56576746": [52, 421, 658], "90937671": [52, 421, 658], "eigh_tridiagon": [52, 75, 369], "eigvals_onli": [52, 75, 369, 422], "select_rang": [52, 75, 369, 422], "tol": [52, 75, 96, 369, 422, 435, 441], "eigenvalu": [52, 57, 75, 80, 92, 93, 369, 421, 422, 423, 624, 658, 659, 660, 667], "eigenvector": [52, 75, 369, 421, 422, 624, 658, 659], "interv": [52, 61, 66, 75, 84, 89, 121, 132, 133, 140, 369, 380, 422, 513, 616, 624, 626, 630, 635, 654, 680, 686, 689, 697, 726, 728, 754, 755], "togeth": [52, 69, 75, 328, 344, 365, 369, 422, 784, 799, 809, 812, 814, 825, 826, 829, 830, 832, 838, 839, 840, 845, 853, 855, 856, 861], "cluster": [52, 75, 369, 422, 840, 855], "converg": [52, 75, 369, 422, 846], "_2": [52, 75, 369, 422], "eig_val": [52, 75, 369, 422], "decreas": [52, 75, 369, 422, 765], "eig_vector": [52, 75, 369, 422], "38196": [52, 422], "61803": [52, 422], "eigval": [52, 75, 369], "general_inner_product": [52, 80, 369], "n_mode": [52, 80, 369, 424], "tradit": [52, 80, 369, 424], "inner": [52, 57, 71, 80, 101, 136, 369, 421, 424, 616, 624, 627, 658, 659, 664, 702, 703, 704, 793, 804, 825], "higher_order_mo": [52, 75, 369], "n_featur": [52, 75, 369, 425], "d1": [52, 75, 369, 425], "dn": [52, 75, 369, 425], "initialize_tuck": [52, 75, 369], "svd": [52, 57, 75, 80, 95, 369, 426, 430, 435, 437, 438, 439, 441, 624, 675], "truncated_svd": [52, 75, 369, 426, 435, 438, 441], "non_neg": [52, 75, 321, 362, 369, 426], "mask": [52, 56, 75, 79, 92, 368, 369, 371, 413, 426, 427, 435, 441, 480, 543, 621, 623, 646, 649, 652, 832], "svd_mask_repeat": [52, 75, 369, 426, 435, 441], "tuckertensor": [52, 75, 96, 321, 362, 369, 426, 435, 441], "scheme": [52, 75, 369, 426, 435, 808, 838, 855], "tucker": [52, 75, 321, 362, 369, 426, 435], "decomposit": [52, 57, 75, 80, 92, 93, 95, 317, 318, 319, 320, 321, 362, 369, 426, 435, 438, 440, 441, 624, 653, 659, 663, 671, 674, 804, 862], "miss": [52, 75, 369, 371, 426, 435, 441, 480, 783, 804, 805, 809, 812, 813, 816, 826, 829, 832], "everywher": [52, 75, 369, 426, 435, 441], "imput": [52, 75, 369, 426, 435, 441], "kron": [52, 75, 369, 431, 862], "make_svd_non_neg": [52, 75, 369, 439], "nntype": [52, 75, 369, 430], "nndsvd": [52, 75, 369, 430], "singular": [52, 57, 75, 80, 369, 426, 430, 437, 439, 624, 665, 667, 670, 674, 675, 763, 765, 814], "nndsvda": [52, 75, 369, 430], "boutsidi": [52, 75, 369, 430], "gallopoulo": [52, 75, 369, 430], "pattern": [52, 53, 75, 76, 369, 430, 533, 534, 535, 621, 814, 817, 828, 846], "recognit": [52, 75, 369, 430], "1350": [52, 75, 369, 430], "1362": [52, 75, 369, 430], "2008": [52, 75, 369, 430, 855], "matrix_exp": [52, 75, 369], "7183": [52, 75, 369, 431], "3891": [52, 75, 369, 431], "mode_dot": [52, 75, 91, 92, 96, 369], "matrix_or_vector": [52, 75, 92, 96, 369, 432], "i_1": [52, 75, 92, 93, 369, 432], "i_k": [52, 75, 92, 369, 432], "i_n": [52, 75, 92, 369, 432], "i_": [52, 75, 92, 369, 380, 432, 513], "multi_dot": [52, 75, 369], "148": [52, 74, 75, 238, 369, 433], "multi_mode_dot": [52, 75, 369], "mat_or_vec_list": [52, 75, 369, 434], "times_0": [52, 369, 434], "vec": [52, 369, 434], "times_1": [52, 369, 434], "cdot": [52, 268, 369, 434, 619], "times_n": [52, 369, 434], "partial_tuck": [52, 75, 369], "n_iter_max": [52, 75, 369, 435, 441], "verbos": [52, 75, 369, 435, 438, 441, 829, 834], "return_error": [52, 75, 369, 435, 441], "variat": [52, 75, 369, 435, 441, 816, 826, 829], "reconstruct": [52, 57, 63, 75, 86, 95, 369, 371, 435, 441, 486, 624, 632, 674, 736, 738, 827], "return_erro": [52, 369, 435, 441], "svd_flip": [52, 75, 369], "u_based_decis": [52, 75, 369, 437], "basi": [52, 75, 369, 437, 806, 808, 837], "flip": [52, 59, 75, 82, 92, 226, 369, 371, 437, 464, 465, 619, 626, 825, 836, 837, 839], "decis": [52, 75, 369, 437, 799, 808, 814, 832, 834, 836, 855], "u_adjust": [52, 75, 369, 437], "v_adjust": [52, 75, 369, 437], "tensor_train": [52, 75, 369], "tt": [52, 75, 320, 362, 369, 438, 440], "kth": [52, 369, 438], "tttensor": [52, 95, 320, 362, 369, 438], "compute_uv": [52, 57, 75, 80, 369, 439, 624, 674], "n_eigenvec": [52, 75, 369, 439], "returnedv": [52, 439], "vh": [52, 57, 75, 80, 369, 439, 624, 674], "eigen": [52, 75, 369, 439], "namedtupl": [52, 57, 63, 75, 80, 86, 369, 371, 421, 439, 486, 624, 632, 658, 659, 671, 672, 674, 736, 737, 738], "tt_matrix_to_tensor": [52, 75, 369], "known": [52, 75, 279, 369, 438, 440, 619, 778, 808, 813, 814, 826, 829], "rank_k": [52, 75, 369, 440], "left_dim_k": [52, 75, 369, 440], "right_dim_k": [52, 75, 369, 440], "rank_": [52, 75, 369, 440], "49671414": [52, 75, 369, 440, 630, 727], "1382643": [52, 75, 369, 440, 630, 727], "64768857": [52, 75, 369, 440, 630, 727], "5230298": [52, 75, 369, 440, 630, 727], "23415337": [52, 75, 369, 440, 630, 727], "23413695": [52, 75, 369, 440, 630, 727], "57921278": [52, 75, 369, 440], "76743472": [52, 75, 369, 440], "1163073": [52, 75, 369, 440], "11629914": [52, 75, 369, 440], "03237505": [52, 75, 369, 440], "03237278": [52, 75, 369, 440], "78441733": [52, 75, 369, 440], "38119566": [52, 75, 369, 440], "21834874": [52, 75, 369, 440], "10610882": [52, 75, 369, 440], "15165846": [52, 75, 369, 440], "15164782": [52, 75, 369, 440], "35662258": [52, 75, 369, 440], "35659757": [52, 75, 369, 440], "02283812": [52, 75, 369, 440], "49705869": [52, 75, 369, 440], "40518808": [52, 75, 369, 440], "16882598": [52, 75, 369, 440], "fixed_factor": [52, 75, 369, 441], "tl": [52, 75, 369, 441], "kolda": [52, 75, 369, 441], "bader": [52, 75, 369, 441], "siam": [52, 75, 369, 438, 441], "review": [52, 75, 369, 441, 801, 804, 806, 811, 813, 816, 826, 830], "vol": [52, 75, 369, 441], "pp": [52, 75, 369, 441], "455": [52, 75, 369, 441], "2009": [52, 75, 369, 441], "_arraywithlossesexperiment": [52, 97], "huber_loss": [52, 75, 370], "delta": [52, 54, 75, 77, 370, 442, 602, 622], "transit": [52, 75, 370, 442, 855], "huber": [52, 75, 370, 442], "kl_div": [52, 75, 370], "log_target": [52, 75, 370, 443], "contai": [52, 443], "batchmean": [52, 370, 443], "kullback": [52, 75, 370, 443], "leibler": [52, 75, 370, 443], "0916": [52, 443], "l1_loss": [52, 75, 370, 445], "l1": [52, 57, 75, 80, 370, 374, 442, 444, 445, 447, 492, 624, 681, 812, 837], "targetict": [52, 75, 370, 444, 445, 447, 448], "20000000000000004": [52, 444], "log_poisson_loss": [52, 75, 370], "compute_full_loss": [52, 75, 370, 445, 780], "favor": [52, 75, 370, 445], "likelihood": [52, 75, 370, 445, 446], "28402555": [52, 370, 445], "03402555": [52, 370, 445], "1573164": [52, 370, 445], "poisson_nll_loss": [52, 75, 370], "log_input": [52, 75, 370, 446], "poisson": [52, 75, 370, 375, 445, 446], "assumpt": [52, 370, 445, 446], "minu": [52, 370, 445, 446], "omiss": [52, 370, 446], "stirl": [52, 75, 370, 445, 446], "describ": [52, 65, 75, 93, 218, 235, 236, 268, 271, 273, 370, 375, 378, 446, 500, 503, 619, 623, 634, 649, 746, 750, 752, 801, 804, 805, 806, 811, 813, 825, 826, 829, 834, 839, 855], "prevent": [52, 54, 75, 77, 370, 446, 545, 602, 603, 608, 621, 622, 623, 634, 646, 752, 778, 783, 804, 806, 813, 814, 818, 825, 826, 830], "input_tensor": [52, 75, 369, 370, 438, 446, 826], "target_tensor": [52, 370, 446], "1978": [52, 446], "smooth_l1_loss": [52, 75, 370], "smooth": [52, 58, 75, 81, 370, 442, 447, 625, 683, 684, 685, 824], "8125": [52, 447], "soft_margin_loss": [52, 75, 370], "soft": [52, 75, 301, 370, 371, 448, 480, 815], "margin": [52, 75, 370, 448, 826], "35667497": [52, 448, 625, 684], "22314353": [52, 448], "60943791": [52, 448], "manipul": [52, 75, 825, 826, 830, 832, 834, 839, 844, 855], "_arraywithmanipulationexperiment": [52, 97], "as_strid": [52, 75, 371], "nativeshap": [52, 56, 59, 61, 75, 82, 84, 122, 123, 125, 130, 137, 143, 371, 375, 449, 461, 466, 474, 477, 496, 497, 498, 499, 500, 565, 578, 583, 585, 616, 621, 623, 626, 630, 636, 638, 640, 642, 644, 693, 726, 727, 728, 821, 823], "byte": [52, 53, 71, 75, 76, 97, 129, 371, 449, 559, 616, 621, 860, 861], "associative_scan": [52, 75, 371], "revers": [52, 53, 57, 65, 75, 80, 88, 97, 98, 359, 367, 368, 369, 371, 380, 413, 429, 450, 464, 465, 511, 512, 532, 621, 624, 626, 634, 679, 690, 744, 745, 804, 812, 813, 814, 816, 817, 825, 826, 832, 839, 840], "scan": [52, 75, 371, 450, 840], "atleast_1d": [52, 75, 371], "ari": [52, 75, 371, 451, 452, 453, 459, 468, 487], "a1": [52, 76, 371, 451, 452, 453, 457, 525], "a2": [52, 76, 371, 451, 452, 453, 457, 525], "atleast_2d": [52, 75, 371], "atleast_3d": [52, 75, 371], "column_stack": [52, 75, 371], "concat_from_sequ": [52, 75, 371], "input_sequ": [52, 75, 371, 458], "new_axi": [52, 75, 371, 458, 839], "dsplit": [52, 75, 371], "indices_or_sect": [52, 75, 371, 459, 468, 487], "3rd": [52, 75, 371, 459], "dstack": [52, 75, 371], "fill_diagon": [52, 75, 371], "fill_diag": [52, 462], "fortran": [52, 59, 75, 82, 371, 463, 626, 693, 855, 859], "layout": [52, 59, 75, 82, 371, 463, 626, 693, 810, 825, 826, 832], "fliplr": [52, 75, 371, 825], "diag": [52, 57, 75, 80, 93, 371, 464, 465, 624, 659, 834], "flipud": [52, 75, 371, 825], "fold": [52, 75, 371, 474, 475, 813], "unfold": [52, 75, 92, 93, 95, 369, 371, 426, 466, 474, 476], "folded_tensor": [52, 371, 466], "heavisid": [52, 75, 371], "5000": [52, 371, 467, 624, 662, 793], "hsplit": [52, 75, 371], "horizont": [52, 75, 371, 457, 468, 533, 621], "hstack": [52, 75, 371, 457], "i0": [52, 75, 371, 380, 513], "bessel": [52, 65, 75, 88, 311, 362, 371, 470, 634, 751, 753], "kind": [52, 65, 75, 160, 163, 164, 380, 470, 511, 512, 517, 617, 634, 744, 745, 750, 752, 763, 764, 803, 826, 829, 832, 834, 840], "26606588": [52, 75, 371, 470], "2795853": [52, 75, 371, 470], "88079259": [52, 75, 371, 470], "row_mod": [52, 75, 371, 471], "column_mod": [52, 75, 371, 471], "ascend": [52, 64, 75, 87, 371, 378, 471, 503, 633, 740, 742], "prod": [52, 53, 65, 76, 88, 369, 371, 427, 429, 471, 519, 534, 621, 634, 763, 793, 814, 816, 834], "moveaxi": [52, 75, 371], "destin": [52, 75, 371, 472], "unstack": [52, 59, 69, 82, 472, 626, 812, 834, 837, 862], "reorder": [52, 59, 75, 82, 371, 472, 533, 621, 626, 690, 828], "stat_length": [52, 75, 371, 473], "constant_valu": [52, 75, 371, 473], "end_valu": [52, 75, 371, 473], "reflect_typ": [52, 75, 371, 473], "partial_fold": [52, 75, 371], "skip_begin": [52, 75, 371, 474, 475, 476, 477], "untouch": [52, 75, 371, 474, 475, 476, 477], "partial_tensor_to_vec": [52, 75, 371], "skip_end": [52, 75, 371, 475, 476], "vectoris": [52, 75, 92, 371, 475, 477], "partial_unfold": [52, 75, 371], "ravel_tensor": [52, 75, 371, 476], "n_1": [52, 75, 371, 476], "n_2": [52, 75, 371, 476], "n_i": [52, 75, 369, 371, 427, 476], "partial_vec_to_tensor": [52, 75, 371], "put_along_axi": [52, 75, 371], "rot90": [52, 75, 371, 825], "rotat": [52, 75, 371, 479], "soft_threshold": [52, 75, 371], "behav": [52, 75, 329, 330, 365, 369, 371, 421, 481, 624, 658, 808, 818, 823, 825, 826, 827, 836, 856], "invalid": [52, 66, 75, 89, 371, 481, 624, 626, 635, 680, 689, 754, 755, 763, 805, 814], "slice": [52, 65, 69, 75, 76, 88, 93, 142, 322, 362, 371, 456, 478, 481, 482, 540, 541, 543, 569, 616, 621, 628, 634, 714, 749, 855], "inexact": [52, 75, 339, 365, 371, 481], "largest": [52, 69, 75, 160, 163, 369, 371, 437, 481, 483, 617, 624, 665, 674], "take_along_axi": [52, 75, 371], "arr": [52, 53, 72, 75, 168, 371, 456, 478, 482, 565, 617, 814, 815], "top_k": [52, 75, 371], "sort": [52, 63, 69, 75, 86, 98, 287, 369, 371, 380, 421, 483, 503, 517, 619, 624, 632, 658, 659, 674, 675, 736, 740, 741, 742, 765, 799, 803, 813, 828, 830], "trim_zero": [52, 75, 371], "fb": [52, 75, 371, 484], "front": [52, 75, 371, 484, 826, 833, 834, 837, 844, 853, 855], "unfolded_tensor": [52, 371, 485], "unique_consecut": [52, 75, 371], "vsplit": [52, 75, 371], "vertic": [52, 75, 371, 487, 488, 533, 621, 806], "_arraywithnormsexperiment": [52, 97], "varianc": [52, 65, 75, 88, 374, 489, 491, 634, 753, 778, 782], "nsc": [52, 75, 374, 489, 490, 491, 782], "braodcast": [52, 75, 374, 489], "running_mean": [52, 75, 374, 489, 491, 782], "running_var": [52, 75, 374, 489, 491, 782], "nc": [52, 75, 374, 489, 490, 491, 782], "group_norm": [52, 75, 374], "num_group": [52, 75, 374, 490], "group": [52, 75, 371, 374, 486, 490, 623, 628, 636, 643, 644, 707, 808, 812, 814, 822, 826, 827, 851, 854, 860], "instance_norm": [52, 75, 374], "l1_normal": [52, 75, 374], "33333334": [52, 374, 492, 495, 604, 622, 623, 624, 645, 681], "33333337": [52, 132, 374, 492, 604, 616, 622], "28571439": [52, 374, 492], "l2_normal": [52, 75, 374, 495], "l2": [52, 57, 80, 91, 92, 374, 493, 495, 624, 681, 779, 812], "44721359": [52, 75, 374, 493, 495], "89442718": [52, 75, 374, 493, 495], "lp_normal": [52, 75, 374], "lp": [52, 374, 495], "_arraywithrandomexperiment": [52, 97], "bernoulli": [52, 75, 368, 375, 391, 392, 393], "event": [52, 75, 375, 496, 829], "entri": [52, 59, 69, 75, 82, 86, 93, 132, 369, 371, 375, 436, 462, 464, 465, 496, 616, 626, 628, 695, 718, 736, 805, 813, 829, 855], "parameter": [52, 61, 75, 84, 375, 496, 497, 499, 500, 630, 725, 727, 728], "odd": [52, 75, 273, 371, 375, 473, 496, 619, 793, 803, 808], "drawn": [52, 61, 75, 84, 375, 496, 497, 498, 499, 500, 630, 725, 726, 727, 728, 763, 764, 765, 778, 829], "dirichlet": [52, 75, 375], "10598304": [52, 375, 498], "21537054": [52, 375, 498], "67864642": [52, 375, 498], "48006698": [52, 375, 498], "07472073": [52, 375, 498], "44521229": [52, 375, 498], "55479872": [52, 375, 498], "05426367": [52, 375, 498], "39093761": [52, 375, 498], "19531053": [52, 375, 498], "51675832": [52, 375, 498], "28793114": [52, 375, 498], "12315625": [52, 375, 498], "29823365": [52, 375, 498], "5786101": [52, 375, 498], "15564976": [52, 375, 498], "50542368": [52, 375, 498], "33892656": [52, 375, 498], "1325352": [52, 375, 498], "44439589": [52, 375, 498], "42306891": [52, 375, 498], "gamma": [52, 60, 75, 83, 336, 347, 365, 375, 380, 514, 629, 724], "rate": [52, 54, 75, 77, 368, 375, 409, 500, 603, 606, 608, 609, 610, 622, 627, 702, 703, 704, 783, 813], "lam": [52, 75, 375, 500], "_arraywithsearchingexperiment": [52, 97], "unravel_index": [52, 75, 376], "unravel": [52, 75, 376, 501], "_arraywithsetexperiment": [52, 97], "_arraywithsortingexperiment": [52, 97], "lexsort": [52, 75, 378], "indirectli": [52, 75, 378, 503], "statist": [52, 75, 90, 371, 473, 782, 797, 804, 814, 829, 830, 855], "_arraywithstatisticalexperiment": [52, 97], "bincount": [52, 75, 380], "minlength": [52, 75, 380, 508], "corrcoef": [52, 75, 380], "rowvar": [52, 75, 380, 509, 510], "relationship": [52, 75, 509, 778, 828], "cov": [52, 75, 380], "ddof": [52, 75, 380, 510], "fweight": [52, 75, 380, 510], "aweight": [52, 75, 380, 510], "overridden": [52, 75, 380, 510, 783, 809], "unbias": [52, 65, 75, 88, 380, 510, 634, 753], "typic": [52, 75, 328, 344, 365, 380, 510, 633, 742, 779, 808, 822, 854, 862], "assign": [52, 75, 92, 380, 510, 804, 806, 810, 814, 825, 828, 836], "covari": [52, 75, 380, 510], "cummax": [52, 75, 380], "exclus": [52, 53, 65, 69, 75, 76, 88, 121, 369, 380, 435, 511, 512, 552, 553, 556, 616, 621, 630, 634, 726, 744, 745, 812, 814, 822, 839, 859, 861], "cumul": [52, 65, 75, 88, 380, 511, 512, 634, 744, 745], "uint64": [52, 65, 157, 162, 164, 165, 175, 177, 180, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 829, 834], "uint16": [52, 65, 152, 157, 162, 163, 172, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 826, 829, 834], "bit": [52, 65, 159, 160, 163, 226, 227, 229, 380, 511, 512, 617, 619, 634, 744, 745, 750, 752, 799, 803, 804, 805, 812, 813, 814, 816, 822, 834, 836, 861], "uint32": [52, 65, 157, 162, 163, 164, 186, 380, 511, 512, 617, 634, 744, 745, 750, 752, 763, 764, 814, 829, 834], "cummin": [52, 75, 380], "histogram": [52, 75, 380], "extend_lower_interv": [52, 75, 380, 513], "extend_upper_interv": [52, 75, 380, 513], "densiti": [52, 75, 380, 513], "monoton": [52, 75, 380, 513], "rightmost": [52, 75, 380, 513], "c1": [52, 75, 380, 513, 812], "ff": [52, 75, 380, 513], "c_": [52, 75, 93, 380, 513], "igamma": [52, 75, 380], "incomplet": [52, 75, 380, 514, 806], "3614": [52, 75, 380, 514], "2085": [52, 75, 380, 514], "median": [52, 75, 371, 380, 473, 517], "nanmean": [52, 75, 380], "6666666666666665": [52, 75, 380, 516], "nanmedian": [52, 75, 380], "overwrite_input": [52, 75, 380, 517], "treat": [52, 69, 75, 98, 273, 349, 365, 371, 374, 380, 482, 494, 517, 519, 619, 760, 824, 829, 835, 839], "undefin": [52, 75, 371, 380, 381, 473, 517, 521, 814, 818, 824], "nanmin": [52, 75, 380], "nanprod": [52, 75, 380], "Not": [52, 75, 349, 365, 369, 380, 423, 519, 614, 810, 818, 827, 837, 838, 840], "quantil": [52, 75, 380], "inclus": [52, 75, 121, 380, 520, 616, 630, 726, 800, 810, 825, 832], "midpoint": [52, 75, 380, 520], "surround": [52, 75, 380, 520, 832], "whichev": [52, 75, 380, 520], "_arraywithutilityexperiment": [52, 97], "optional_get_el": [52, 75, 381], "empti": [52, 53, 65, 69, 76, 88, 121, 371, 381, 473, 521, 528, 565, 616, 621, 624, 628, 634, 635, 678, 681, 719, 749, 750, 752, 754, 755, 804, 805, 809, 811, 814, 815, 825], "_arraywithgener": [53, 97], "all_equ": [53, 76, 621], "equality_matrix": [53, 76, 522, 621], "array_equ": [53, 76, 621], "assert_supports_inplac": [53, 76, 621], "ivybackendexcept": [53, 76, 526, 550, 621, 794, 809, 815, 818, 819], "clip_matrix_norm": [53, 76, 621], "894": [53, 76, 528, 529, 621, 629, 724], "clip_vector_norm": [53, 76, 621], "default_v": [53, 532, 621], "catch_except": [53, 532, 621], "rev": [53, 532, 621], "with_cal": [53, 532, 621], "catch": [53, 532, 621, 823, 829], "einops_rearrang": [53, 76, 621], "axes_length": [53, 76, 533, 534, 535, 621], "arrang": [53, 533, 621], "rearrang": [53, 76, 533, 535, 621, 828], "einops_reduc": [53, 76, 621, 814], "einops_repeat": [53, 76, 621], "fourier_encod": [53, 76, 621], "max_freq": [53, 76, 537, 621], "oppos": [53, 76, 537, 621, 814], "geometr": [53, 76, 537, 621, 624, 679], "0000000e": [53, 76, 537, 621], "2246468e": [53, 76, 537, 621], "4492936e": [53, 537, 621], "6739404e": [53, 76, 537, 621], "batch_dim": [53, 76, 540, 541, 621, 785], "gather_nd": [53, 76, 621], "get_num_dim": [53, 76, 621], "as_arrai": [53, 76, 544, 578, 621, 785], "has_nan": [53, 76, 621], "include_inf": [53, 76, 546, 600, 621], "inplace_decr": [53, 76, 621], "val": [53, 69, 74, 76, 248, 371, 462, 548, 549, 550, 569, 570, 571, 619, 621, 814, 825, 836], "decrement": [53, 76, 548, 621], "inplace_incr": [53, 76, 621], "increment": [53, 76, 549, 621, 806, 855], "inplace_upd": [53, 76, 568, 621, 776, 825], "ensure_in_backend": [53, 76, 550, 621, 825], "keep_input_dtyp": [53, 76, 550, 621, 825], "is_arrai": [53, 76, 621, 825, 826], "is_ivy_arrai": [53, 76, 621, 825, 836], "is_ivy_contain": [53, 621], "is_native_arrai": [53, 76, 171, 553, 617, 621, 836], "isin": [53, 76, 621], "test_el": [53, 76, 557, 621], "assume_uniqu": [53, 76, 557, 621], "invert": [53, 76, 226, 557, 619, 621, 624, 666], "scatter_flat": [53, 76, 621], "occupi": [53, 160, 163, 564, 565, 617, 621], "scatter_nd": [53, 76, 621, 832, 836], "stable_divid": [53, 76, 621, 822], "denomin": [53, 60, 76, 83, 571, 579, 593, 621, 629, 724, 782, 822, 831, 840, 852], "min_denomin": [53, 76, 571, 579, 593, 621, 831], "_min_denomin": [53, 579, 621], "stable_pow": [53, 76, 621], "min_bas": [53, 76, 570, 580, 592, 621, 782, 831], "stabl": [53, 64, 76, 87, 142, 322, 329, 330, 362, 365, 378, 503, 570, 571, 579, 580, 592, 593, 616, 621, 633, 740, 743, 765, 805, 810, 814, 826, 831, 834, 840], "00004": [53, 76, 580, 621], "00008": [53, 76, 580, 621], "00004000e": [53, 580], "56002560e": [53, 580], "60001200e": [53, 580], "09602048e": [53, 580], "supports_inplace_upd": [53, 76, 621], "to_fil": 53, "fid": 53, "sep": 53, "format_": 53, "recov": [53, 818, 826], "to_scalar": [53, 76, 621], "value_is_nan": [53, 76, 621], "_arraywithgradi": [54, 97], "adam_step": [54, 77, 622], "mw": [54, 77, 602, 603, 622, 838], "vw": [54, 77, 602, 603, 622, 838], "beta1": [54, 77, 524, 602, 603, 608, 621, 622, 783, 838], "beta2": [54, 77, 524, 602, 603, 608, 621, 622, 783, 838], "epsilon": [54, 57, 58, 77, 80, 81, 524, 602, 603, 608, 621, 622, 624, 625, 667, 670, 683, 684, 685, 775, 780, 782, 783, 812, 822, 825, 838], "dc": [54, 77, 602, 603, 606, 608, 609, 610, 622], "dw": [54, 77, 602, 603, 606, 608, 609, 610, 622], "forget": [54, 77, 602, 603, 608, 622, 783, 799, 814], "dcdw": [54, 77, 602, 603, 606, 608, 609, 622], "adam_step_delta": [54, 77, 602, 622], "2020105": [54, 602, 622], "22187898": [54, 602, 622], "24144873": [54, 602, 622], "10000002": [54, 88, 291, 360, 602, 748], "00300002": [54, 602], "00800002": [54, 602], "adam_upd": [54, 77, 622, 838], "mw_tm1": [54, 77, 603, 608, 622], "vw_tm1": [54, 77, 603, 608, 622], "stop_gradi": [54, 77, 208, 524, 603, 606, 608, 609, 610, 618, 621, 622, 627, 702, 703, 704, 783, 838], "ws_new": [54, 77, 603, 608, 609, 610, 622], "updated_weight": [54, 77, 603, 622], "92558753": [54, 603], "92558873": [54, 603, 622], "92558718": [54, 603, 622], "00000063e": [54, 77, 603, 622], "00000016e": [54, 77, 603, 622], "00000086e": [54, 77, 603, 622], "gradient_descent_upd": [54, 77, 622, 627, 702, 703, 704], "descent": [54, 77, 606, 622, 783, 838, 855], "new_weight": [54, 77, 606, 608, 609, 622, 837], "lamb_upd": [54, 77, 622], "max_trust_ratio": [54, 77, 608, 622, 783], "decay_lambda": [54, 77, 608, 609, 622, 783], "trust": [54, 77, 608, 622, 783], "ratio": [54, 77, 608, 622, 783], "decai": [54, 77, 608, 609, 622, 783], "lamb": [54, 77, 608, 622, 783, 838], "784": [54, 608, 622], "lars_upd": [54, 77, 622], "lar": [54, 77, 609, 622, 783, 838], "34077978": [54, 609, 622], "78025991": [54, 609, 622], "56051969": [54, 609, 622], "78026009": [54, 609, 622], "56051981": [54, 609, 622], "12103939": [54, 609, 622], "optimizer_upd": [54, 77, 622], "effective_grad": [54, 77, 610, 622], "3e": [54, 77, 610, 622], "preserve_typ": [54, 77, 611, 622], "_arraywithimag": [55, 97], "_arraywithlay": [56, 97], "conv1d": [56, 79, 623, 779], "filter_format": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "channel_last": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644, 763], "x_dilat": [56, 79, 623, 636, 637, 639, 640, 641, 643], "d_out": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "channel_first": [56, 79, 623, 636, 637, 638, 639, 640, 641, 642, 643, 644], "wio": [56, 623, 636, 637, 638, 643], "conv1d_transpos": [56, 79, 623], "output_shap": [56, 79, 623, 636, 638, 640, 642, 644, 779], "iow": [56, 79, 623, 638], "woi": [56, 79, 623, 638], "fh": [56, 79, 623, 628, 636, 639, 640, 641, 642, 643, 644, 645, 717], "hwio": [56, 623, 636, 637, 639, 643], "conv2d_transpos": [56, 79, 623], "iohw": [56, 79, 623, 640], "hwoi": [56, 79, 623, 640], "conv3d": [56, 79, 623, 642, 779], "fd": [56, 79, 623, 636, 641, 642, 643, 644], "conv3d_transpos": [56, 79, 623, 644], "iodhw": [56, 79, 623, 642, 644], "dhwoi": [56, 79, 623, 642, 644], "depthwise_conv2d": [56, 79, 623], "randint": [56, 61, 63, 79, 84, 630, 632, 645, 648, 736, 814, 848], "noise_shap": [56, 79, 623, 646], "42857146": [56, 623, 646], "85714293": [56, 623, 646], "28571415": [56, 79, 623, 646], "71428585": [56, 79, 623, 646], "14285755": [56, 79, 623, 646], "5714283": [56, 623, 646], "4285717": [56, 79, 623, 646], "8571434": [56, 79, 623, 646], "2857151": [56, 623, 646], "dropout1d": [56, 79, 368], "droput1d": [56, 391, 392], "dropout2d": [56, 79, 368], "dropout3d": [56, 79, 368], "droput3d": [56, 393], "outer_batch_shap": [56, 79, 623, 647], "inner_batch_shap": [56, 79, 623, 647], "lstm_updat": [56, 79, 623, 834], "init_h": [56, 79, 623, 648, 834], "init_c": [56, 79, 623, 648, 834], "recurrent_kernel": [56, 79, 623, 648, 834], "recurrent_bia": [56, 79, 623, 648, 834], "hidden": [56, 79, 623, 648, 779, 811, 818, 834, 838], "recurr": [56, 75, 79, 368, 413, 623, 648, 834, 855, 859], "timestep": [56, 75, 79, 368, 413, 623, 648, 649, 779, 834], "h_i": [56, 79, 648], "c_i": [56, 79, 648], "rc": [56, 79, 648], "multi_head_attent": [56, 79, 623, 825], "num_head": [56, 79, 623, 649, 779], "in_proj_weight": [56, 79, 623, 649], "q_proj_weight": [56, 79, 623, 649], "k_proj_weight": [56, 79, 623, 649], "v_proj_weight": [56, 79, 623, 649], "out_proj_weight": [56, 79, 623, 649], "in_proj_bia": [56, 79, 623, 649], "out_proj_bia": [56, 79, 623, 649], "is_caus": [56, 79, 623, 649, 652], "key_padding_mask": [56, 79, 623, 649], "bias_k": [56, 79, 623, 649], "bias_v": [56, 79, 623, 649], "static_k": [56, 79, 623, 649], "static_v": [56, 79, 623, 649], "add_zero_attn": [56, 79, 623, 649], "return_attention_weight": [56, 79, 623, 649], "average_attention_weight": [56, 79, 623, 649], "scaled_dot_product_attent": [56, 79, 623], "dropout_p": [56, 79, 623, 652], "num_queri": [56, 79, 623, 652], "feat_dim": [56, 79, 623, 652], "num_kei": [56, 79, 623, 652], "causal": [56, 79, 623, 649, 652], "attent": [56, 79, 623, 649, 652, 779, 806, 809, 845], "29999995": [56, 291, 292, 301, 360, 623, 632, 652, 737], "19994521": [56, 623, 652], "09994531": [56, 623, 652], "30000019": [56, 371, 457, 623, 652], "_arraywithlinearalgebra": [57, 97], "choleski": [57, 80, 624, 825], "625": [57, 75, 341, 624, 653], "vif": [57, 80, 654], "det": [57, 80, 624, 672, 813], "axis1": [57, 59, 80, 82, 624, 626, 657, 678, 698], "axis2": [57, 80, 624, 657, 678], "eigh": [57, 80, 369, 421, 624, 658], "uplo": [57, 80, 624, 659, 660], "eigvalsh": [57, 80, 624], "array_lik": [57, 80, 368, 370, 371, 412, 442, 443, 447, 448, 478, 624, 661, 669, 793], "105": [57, 79, 623, 624, 625, 646, 647, 661, 669, 683], "149": [57, 624, 661], "143": [57, 74, 98, 285, 619, 624, 661, 816], "203": [57, 74, 224, 624, 629, 661, 724], "233": [57, 624, 661], "inv": [57, 80, 624], "transpose_a": [57, 80, 624, 664], "transpose_b": [57, 80, 624, 664], "adjoint_a": [57, 80, 624, 664], "adjoint_b": [57, 80, 624, 664], "matrix_norm": [57, 80, 624], "ord": [57, 80, 624, 665, 681], "fro": [57, 80, 370, 442, 624, 665], "nuc": [57, 80, 624, 665], "matrix_pow": [57, 80, 624], "matrix_rank": [57, 80, 624], "hermitian": [57, 80, 369, 421, 422, 624, 658, 659, 660, 667, 674], "largest_singular_valu": [57, 80, 624, 667, 670], "defici": [57, 624, 667], "matrix_transpos": [57, 80, 624, 836], "pinv": [57, 80, 624], "pseudo": [57, 80, 624, 670, 824], "99999988": [57, 80, 624, 670], "qr": [57, 80, 624, 827], "complet": [57, 69, 80, 624, 671, 764, 804, 805, 806, 808, 809, 812, 813, 816, 818, 822, 826, 827, 829, 832, 836, 837, 845, 853], "12309149": [57, 624, 671], "90453403": [57, 624, 671], "40824829": [57, 624, 671], "49236596": [57, 624, 671], "30151134": [57, 624, 671], "81649658": [57, 624, 671], "86164044": [57, 624, 671], "12403841e": [57, 624, 671], "60113630e": [57, 624, 671], "10782342e": [57, 624, 671], "04534034e": [57, 624, 671], "80906807e": [57, 624, 671], "88178420e": [57, 80, 624, 660, 671], "slogdet": [57, 80, 624], "logabsdet": [57, 80, 624, 672], "natur": [57, 80, 238, 256, 257, 258, 259, 278, 347, 365, 619, 624, 672, 809, 816, 818, 827, 845], "098611": [57, 624, 672], "solv": [57, 80, 369, 430, 624, 763, 799, 805, 808, 819, 826, 835, 857], "full_matric": [57, 80, 624, 674], "svf": [57, 674], "reconstructed_x": [57, 624, 674], "svdval": [57, 80, 624], "tensorsolv": [57, 80, 624], "vander": [57, 80, 624], "vandermond": [57, 80, 624, 679], "vecdot": [57, 80, 624], "vector_norm": [57, 80, 624], "mathemat": [57, 80, 218, 223, 235, 240, 242, 258, 268, 614, 619, 624, 665, 681, 814, 826, 832, 855, 861], "manhattan": [57, 80, 624, 681], "euclidean": [57, 80, 92, 93, 624, 681], "7416575": [57, 80, 624, 681], "vector_to_skew_symmetric_matrix": [57, 80, 624], "_arraywithloss": [58, 97], "binary_cross_entropi": [58, 81, 625, 813], "from_logit": [58, 81, 625, 683, 780], "pos_weight": [58, 81, 625, 683], "crossentropi": [58, 81, 625, 683], "357": [58, 81, 625, 683, 685], "223": [58, 81, 625, 683, 685], "3862944": [58, 625, 684], "sparse_cross_entropi": [58, 81, 625], "_arraywithmanipul": [59, 97], "x_min": [59, 82, 626, 686, 839], "x_max": [59, 82, 626, 686, 839], "before_1": [59, 82, 371, 473, 626, 688, 701], "after_1": [59, 82, 371, 473, 626, 688, 701], "before_n": [59, 82, 371, 473, 626, 688, 701], "after_n": [59, 82, 371, 473, 626, 688, 701], "repetit": [59, 82, 626, 692, 699, 832], "flat": [59, 69, 82, 376, 501, 564, 621, 626, 692], "allowzero": [59, 82, 626, 693], "remain": [59, 62, 75, 82, 85, 218, 235, 236, 242, 250, 251, 268, 271, 277, 279, 368, 391, 392, 393, 412, 619, 626, 628, 631, 693, 711, 734, 793, 805, 806, 813, 816, 818, 822, 830, 832, 840], "roll": [59, 82, 626, 821], "shift": [59, 71, 82, 98, 131, 142, 227, 229, 322, 362, 616, 619, 626, 694, 805, 806, 815, 816, 821, 828], "restor": [59, 82, 626, 694, 820], "num_or_size_split": [59, 69, 82, 626, 695, 834], "with_remaind": [59, 69, 82, 626, 695], "squeezabl": [59, 626, 696], "swapax": [59, 82, 626], "axis0": [59, 82, 626, 698], "swap_ax": [59, 698], "swap": [59, 82, 626, 698, 788, 849], "tile": [59, 76, 82, 535, 626], "unpack": [59, 82, 626, 700, 827, 829], "zero_pad": [59, 82, 626], "_arraywithnorm": [60, 97], "layer_norm": [60, 83, 629], "normalized_idx": [60, 83, 629, 724], "new_std": [60, 83, 629, 724, 782], "learnabl": [60, 83, 627, 629, 704, 724, 779, 782, 839], "deviat": [60, 61, 65, 83, 84, 88, 629, 630, 634, 724, 727, 751, 765, 778, 782, 808, 846], "0976": [60, 629, 724], "3452": [60, 629, 724], "2740": [60, 629, 724], "1047": [60, 629, 724], "5886": [60, 629, 724], "2732": [60, 629, 724], "7696": [60, 629, 724, 763], "7024": [60, 629, 724], "2518": [60, 629, 724], "826": [60, 629, 724], "178": [60, 629, 724], "981": [60, 629, 724], "831": [60, 629, 724], "421": [60, 629, 724], "_arraywithrandom": [61, 97], "multinomi": [61, 84, 375, 498, 630], "population_s": [61, 84, 630, 725], "num_sampl": [61, 84, 630, 725], "unnorm": [61, 84, 630, 725, 829], "popul": [61, 65, 69, 84, 88, 630, 634, 725, 751, 753, 814, 815, 825, 829, 834, 861], "draw": [61, 84, 375, 496, 498, 500, 630, 725, 727, 728, 763, 764, 765, 766, 771, 778, 804, 808, 827, 829], "half": [61, 84, 121, 282, 616, 619, 630, 726, 728, 802, 819, 832], "235": [61, 727], "float16": [61, 72, 84, 129, 152, 154, 155, 160, 162, 339, 365, 616, 617, 624, 681, 727, 728, 763, 764, 802, 814, 819, 826, 829], "807": [61, 727], "_arraywithsearch": [62, 97], "select_last_index": [62, 85, 631, 731, 732], "occurr": [62, 371, 380, 486, 508, 631, 632, 731, 732, 736], "argmin": [62, 85, 631], "output_dtyp": [62, 85, 631, 732], "argwher": [62, 85, 631], "nonzero": [62, 85, 93, 216, 217, 218, 221, 224, 233, 235, 238, 240, 242, 268, 281, 286, 619, 631], "as_tupl": [62, 85, 631, 734], "fewer": [62, 85, 631, 734], "_arraywithset": [63, 97], "unique_al": [63, 86, 632], "by_valu": [63, 86, 632, 736], "inverse_indic": [63, 86, 371, 486, 632, 736, 738], "unique_count": [63, 86, 632], "unique_invers": [63, 86, 632], "unique_valu": [63, 86, 632], "admonit": [63, 739], "dask": [63, 632, 736, 737, 738, 739, 845], "difficult": [63, 632, 736, 737, 738, 739, 806, 808, 814, 829, 840], "omit": [63, 278, 619, 632, 736, 737, 738, 739, 821, 825, 826], "x_i": [63, 65, 74, 93, 215, 216, 217, 220, 221, 222, 224, 226, 231, 232, 233, 238, 240, 241, 248, 249, 250, 251, 252, 256, 257, 258, 259, 263, 270, 275, 278, 279, 280, 281, 282, 283, 285, 286, 288, 329, 330, 332, 352, 365, 619, 632, 634, 736, 737, 738, 739, 747, 748, 749, 751, 752, 753, 778, 817], "x_j": [63, 632, 736, 737, 738, 739], "impli": [63, 632, 736, 737, 738, 739, 829], "typeerror": [63, 86, 632, 739, 836], "_arraywithsort": [64, 97], "stabil": [64, 87, 579, 580, 621, 633, 740, 743, 814, 824, 830, 832], "maintain": [64, 87, 633, 740, 743, 805, 806, 808, 820, 825, 827, 828, 829, 844, 854], "msort": [64, 87, 633], "searchsort": [64, 87, 633, 764], "side": [64, 87, 343, 365, 369, 436, 633, 742, 763, 779, 792, 793, 805, 806, 811], "sorter": [64, 87, 633, 742], "ret_dtyp": [64, 87, 633, 742], "_arraywithstatist": [65, 97], "cumprod": [65, 88, 634, 826, 839], "cumsum": [65, 88, 634, 814], "einsum": [65, 88, 634], "equat": [65, 75, 88, 308, 362, 369, 436, 624, 634, 673, 746, 763, 792, 813, 855], "operand": [65, 75, 79, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 352, 356, 365, 366, 368, 410, 619, 624, 634, 672, 678, 746, 747, 749, 750, 752, 792, 793, 809, 812, 817, 826], "contract": [65, 624, 634, 676, 746, 793], "seq": [65, 634, 746, 763], "ii": [65, 88, 634, 746, 806], "jk": [65, 634, 746, 793], "ik": [65, 634, 746, 793], "126": [65, 105, 274, 613, 619, 624, 634, 666, 746], "510": [65, 634, 746], "special": [65, 80, 92, 93, 97, 98, 215, 216, 217, 218, 220, 221, 222, 223, 224, 231, 232, 233, 235, 236, 238, 240, 241, 242, 249, 250, 251, 256, 257, 258, 259, 260, 263, 268, 271, 273, 277, 278, 279, 280, 281, 282, 285, 286, 288, 329, 330, 352, 365, 619, 624, 634, 672, 678, 747, 748, 749, 750, 751, 752, 753, 763, 764, 765, 766, 771, 778, 804, 808, 809, 811, 813, 816, 817, 818, 821, 825, 827, 828, 829, 830, 832, 855, 856, 857], "arithmet": [65, 88, 229, 235, 268, 619, 634, 748, 826], "propag": [65, 229, 329, 330, 365, 619, 634, 747, 748, 749, 751, 752, 753, 824], "04999995": [65, 748], "freedom": [65, 88, 634, 751, 753, 810], "constitut": [65, 88, 634, 751, 753, 822, 834, 856], "commonli": [65, 88, 634, 751, 753, 818, 822, 824], "81649661": [65, 634, 751], "6666665": [65, 753, 837], "667": [65, 76, 235, 529, 579, 619, 621, 753], "_arraywithutil": [66, 97], "logic": [66, 89, 199, 235, 236, 262, 263, 264, 268, 271, 618, 619, 635, 754, 755, 804, 809, 813, 814, 815, 818, 822, 823, 824, 825, 826, 828, 829, 832, 836, 849], "AND": [66, 89, 225, 236, 262, 619, 635, 754], "OR": [66, 89, 228, 264, 271, 619, 635, 755, 805, 806, 824], "_wrap_funct": [67, 90, 811, 822, 823], "function_nam": [67, 90, 804, 830], "new_funct": [67, 90, 811], "add_ivy_array_instance_method": 67, "cl": [67, 90], "moduletyp": [67, 90, 848, 849, 850], "toi": [67, 90], "arrayexampl": 67, "hasattr": [67, 90], "_containerwithactiv": [68, 98], "dict_in": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "queue": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 574, 596, 621, 831, 837], "queue_load_s": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "container_combine_method": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "list_join": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "queue_timeout": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98, 574, 596, 621, 831], "print_limit": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "key_length_limit": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "print_ind": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "print_line_spac": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "ivyh": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "default_key_color": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "keyword_color_dict": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "rebuild_child_contain": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "types_to_iteratively_nest": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "alphabetical_kei": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "dynamic_backend": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 97, 98, 780, 781, 810, 831], "build_cal": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 98], "containerbas": [68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 812], "_static_gelu": 68, "key_chain": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "to_appli": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 431, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "prune_unappli": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 718, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "map_sequ": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 123, 124, 126, 128, 129, 131, 132, 133, 134, 135, 136, 138, 140, 141, 142, 144, 147, 148, 149, 150, 158, 160, 163, 166, 167, 168, 170, 172, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 303, 304, 305, 307, 308, 311, 312, 322, 323, 327, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 353, 354, 355, 356, 382, 383, 384, 386, 387, 388, 390, 391, 392, 393, 394, 395, 403, 404, 405, 406, 410, 411, 414, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 430, 432, 433, 434, 435, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 460, 469, 471, 473, 474, 475, 477, 478, 479, 480, 481, 482, 483, 486, 488, 489, 490, 491, 492, 493, 495, 497, 502, 503, 510, 511, 512, 513, 520, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 637, 638, 639, 640, 641, 642, 645, 646, 647, 648, 649, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755], "prune": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 105, 106, 107, 108, 109, 110, 111, 112, 113, 129, 131, 136, 138, 144, 148, 150, 163, 167, 168, 175, 209, 215, 216, 217, 218, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 240, 241, 242, 246, 247, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 297, 298, 299, 300, 301, 303, 304, 305, 307, 328, 329, 330, 331, 332, 334, 336, 343, 344, 350, 352, 354, 355, 356, 391, 392, 393, 411, 442, 443, 444, 445, 446, 447, 448, 451, 452, 453, 457, 458, 479, 481, 482, 483, 489, 491, 492, 493, 495, 497, 510, 511, 512, 513, 522, 525, 526, 528, 529, 533, 534, 535, 536, 537, 540, 541, 544, 546, 548, 549, 550, 552, 553, 556, 564, 565, 579, 580, 582, 584, 586, 587, 600, 606, 611, 628, 637, 638, 639, 640, 646, 647, 652, 653, 654, 659, 660, 661, 662, 664, 665, 667, 669, 671, 672, 678, 683, 684, 685, 686, 690, 693, 694, 695, 696, 697, 700, 701, 718, 719, 720, 721, 725, 726, 727, 728, 730, 733, 736, 737, 738, 739, 740, 744, 745, 748, 750, 751, 753, 754, 755, 761, 764, 813], "static_gelu": 68, "046": 68, "_static_hardswish": 68, "_static_leaky_relu": 68, "static_leaky_relu": 68, "38999999": [68, 75, 107, 290, 291, 360], "_static_log_softmax": 68, "static_log_softmax": 68, "371": [68, 108], "_static_mish": 68, "static_mish": 68, "30883577": [68, 109, 613], "28903052": [68, 109, 613], "10714479": [68, 109, 613], "_static_relu": 68, "static_relu": 68, "_static_sigmoid": 68, "static_sigmoid": 68, "2689414": [68, 111, 112, 613], "7310586": [68, 111, 112, 613], "88079703": [68, 111, 613], "62245935": [68, 111], "4750208": [68, 111], "_static_softmax": 68, "static_softmax": 68, "72844321": [68, 112], "19852395": [68, 112], "07303288": [68, 112], "_static_softplu": 68, "revert": [68, 113, 613], "static_softplu": 68, "53499615": 68, "42036411": 68, "948": [68, 113, 628, 705], "166": [68, 105, 613], "dictionari": [69, 86, 98, 207, 588, 604, 618, 621, 622, 739, 758, 760, 793, 809, 813, 814, 822, 826, 827, 837, 840], "asynchron": [69, 98, 855], "wait": [69, 98, 574, 621, 799, 804, 806, 813, 826], "arriv": [69, 98, 574, 621, 832], "cont_list_join": [69, 98], "limit": [69, 98, 160, 163, 528, 529, 545, 617, 621, 626, 686, 763, 765, 766, 778, 785, 793, 799, 805, 806, 811, 813, 816, 818, 826, 829, 832, 837, 840, 854, 855, 856], "whitespac": [69, 98], "indent": [69, 98, 837], "newlin": [69, 98, 817], "termin": [69, 98, 805, 806, 812, 819, 820, 834, 837], "constructor": [69, 98, 524, 621, 760, 776, 784, 814, 815, 817, 836], "kept": [69, 98, 627, 702, 703, 806, 825, 830], "encount": [69, 98, 779, 802, 804, 814, 818, 819, 829], "node": [69, 76, 98, 526, 536, 582, 628, 715, 716, 778, 787, 811, 812, 826, 845, 848, 849, 856], "alphabet": [69, 98], "__setitem__": [69, 371, 481, 809, 812, 836], "_cont_at_key_chains_input_as_dict": 69, "current_chain": 69, "ignore_key_error": 69, "_cont_at_key_chains_input_as_seq": 69, "_cont_call_static_method_with_flexible_arg": 69, "static_method": 69, "kw": 69, "self_idx": 69, "_cont_concat_unifi": 69, "_cont_get_dev": 69, "_cont_get_dtyp": 69, "_cont_get_shap": 69, "_cont_ivi": 69, "_cont_mean_unifi": 69, "_1": 69, "_cont_prune_key_chains_input_as_dict": 69, "return_cont": 69, "_cont_prune_key_chains_input_as_seq": 69, "_cont_slice_kei": 69, "key_slic": 69, "_cont_sum_unifi": 69, "_get_queue_item": 69, "cont_all_fals": 69, "assert_is_bool": 69, "cont_all_key_chain": 69, "include_empti": 69, "cont_all_tru": [69, 812, 837], "cont_as_bool": 69, "cont_assert_contains_sub_contain": 69, "sub_cont": 69, "screen": [69, 804, 805, 837], "cont_assert_contains_sub_structur": 69, "check_shap": [69, 785], "cont_assert_ident": 69, "check_typ": 69, "same_arrai": [69, 837], "arrays_equ": 69, "cont_assert_identical_structur": 69, "assert_and_assign": 69, "congruent": 69, "cont_at_key_chain": 69, "ignore_non": 69, "cont_at_kei": 69, "substr": 69, "cont_combin": 69, "duplic": [69, 371, 478, 545, 621, 628, 707, 810, 817, 823, 824, 827, 838, 861], "configur": [69, 207, 618, 628, 718, 805, 806, 811, 813, 814, 819, 820], "container_rightmost": 69, "cont_common_key_chain": 69, "cont_config": 69, "cont_contains_sub_contain": 69, "cont_contains_sub_structur": 69, "cont_copi": [69, 837], "cont_create_if_abs": 69, "noth": [69, 832, 861], "cont_cutoff_at_depth": 69, "depth_cutoff": 69, "summari": [69, 164, 530, 617, 621, 805, 806, 829], "cont_cutoff_at_height": 69, "height_cutoff": 69, "cont_deep_copi": [69, 837, 848], "cont_dev": 69, "belong": [69, 804, 808, 838], "cont_dev_str": 69, "cont_diff": [69, 837], "diff_kei": 69, "detect_key_diff": 69, "detect_value_diff": 69, "detect_shape_diff": 69, "among": [69, 812, 813, 829, 832, 846, 855], "container0": 69, "cont_dtyp": 69, "cont_duplicate_array_keychain": 69, "cont_find_sub_contain": 69, "sub_cont_to_find": 69, "cont_find_sub_structur": 69, "sub_struc_to_find": 69, "cont_flatten_key_chain": [69, 837], "above_height": [69, 837], "below_depth": [69, 837], "cont_format_key_chain": 69, "format_fn": 69, "cont_from_disk_as_hdf5": [69, 837], "h5_obj_or_filepath": 69, "slice_obj": 69, "disk": [69, 781, 837, 854], "h5py": 69, "filepath": [69, 635, 756, 757, 806, 808], "cont_from_disk_as_json": [69, 837], "json_filepath": 69, "cont_from_disk_as_pickl": [69, 837], "pickle_filepath": 69, "cont_from_flat_list": 69, "flat_list": 69, "hierarchi": [69, 804, 828, 837, 851, 861], "cont_handle_inplac": 69, "prime": [69, 814], "overwritten": [69, 809, 810], "cont_has_kei": 69, "query_kei": 69, "somewher": [69, 813], "cont_has_key_chain": 69, "cont_ident": [69, 837], "cont_identical_array_shap": 69, "cont_identical_config": 69, "cont_identical_structur": 69, "cont_if_exist": 69, "cont_inplace_upd": 69, "cont_ivi": 69, "cont_key_chains_contain": 69, "sub_str": 69, "cont_list_stack": [69, 837], "cont_load": 69, "cont_map": [69, 812, 837], "func": [69, 92, 208, 357, 358, 359, 367, 527, 601, 604, 605, 607, 612, 618, 621, 622, 628, 718, 760, 804, 808, 809, 816, 818, 824], "cont_map_sub_cont": 69, "include_self": 69, "possibli": [69, 584, 621, 763, 829, 840], "cont_max_depth": 69, "cont_multi_map": 69, "map_nest": 69, "assert_ident": 69, "leftmost": [69, 628, 718], "cont_multi_map_in_funct": 69, "cont_num_arrai": 69, "cont_overwrite_at_key_chain": 69, "target_dict": 69, "return_dict": 69, "cont_prune_empti": 69, "keep_non": 69, "cont_prune_key_chain": 69, "key1": [69, 799, 838], "key2": [69, 799], "key3": 69, "cont_prune_key_from_key_chain": 69, "certain": [69, 121, 132, 133, 370, 443, 616, 805, 806, 808, 814, 822, 828, 829, 832, 840, 848, 849, 850, 859], "cont_prune_kei": 69, "cont_prune_keys_from_key_chain": 69, "cont_reduc": 69, "cont_remove_key_length_limit": 69, "cont_remove_print_limit": 69, "cont_reshape_lik": 69, "leading_shap": 69, "cont_restructur": 69, "keep_orig": 69, "old": [69, 805, 810, 825], "cont_restructure_key_chain": 69, "keychain_map": 69, "cont_sav": 69, "cont_set_at_key_chain": 69, "cont_set_at_kei": 69, "cont_shap": [69, 623, 641], "cont_show": 69, "cont_show_sub_contain": 69, "sub_cont_or_keychain": 69, "cont_size_ordered_arrai": 69, "keychain": [69, 75, 331, 451, 452, 453, 482], "cont_slice_kei": 69, "all_depth": 69, "cont_slice_via_kei": 69, "slice_kei": 69, "cont_sort_by_kei": 69, "cont_structural_diff": 69, "cont_to_dict": 69, "cont_to_disk_as_hdf5": [69, 837], "starting_index": 69, "max_batch_s": 69, "cont_to_disk_as_json": [69, 837], "cont_to_disk_as_pickl": [69, 837], "cont_to_flat_list": 69, "cont_to_iter": [69, 812], "leaf_keys_onli": 69, "cont_to_iterator_kei": 69, "cont_to_iterator_valu": 69, "cont_to_json": 69, "cont_to_nested_list": 69, "cont_to_raw": 69, "cont_trim_kei": 69, "cont_try_kc": 69, "cont_unifi": 69, "concatten": [69, 208, 618], "cont_unstack_cont": 69, "dim_siz": 69, "cont_update_config": 69, "cont_with_default_key_color": 69, "cont_with_entries_as_list": 69, "cont_with_ivy_backend": 69, "ivy_backend": [69, 827], "cont_with_key_length_limit": [69, 837], "cont_with_print_ind": [69, 837], "cont_with_print_limit": [69, 837], "cont_with_print_line_spac": 69, "h5_file_s": 69, "shuffle_h5_fil": 69, "split_cont": 69, "_is_json": 69, "_repr": 69, "_containerwithconvers": [70, 98], "_static_to_ivi": 70, "_static_to_n": 70, "_containerwithcr": [71, 98], "_static_arang": 71, "_static_asarrai": 71, "_static_copy_arrai": 71, "_static_empti": 71, "_static_empty_lik": 71, "_static_ey": 71, "n_row": [71, 75, 127, 142, 322, 362, 369, 429, 616], "n_col": [71, 75, 127, 142, 322, 362, 616], "_static_from_dlpack": 71, "_static_ful": 71, "_static_full_lik": 71, "static_full_lik": 71, "2324": [71, 131, 616], "234": [71, 74, 131, 154, 237, 288, 616, 617, 619, 623, 647, 763], "123": [71, 72, 131, 163, 536, 616, 621, 793, 829], "_static_linspac": 71, "_static_logspac": 71, "static_logspac": 71, "15443469": [71, 133], "64158883": [71, 133], "_static_meshgrid": 71, "_static_native_arrai": 71, "_static_one_hot": 71, "static_one_hot": 71, "_static_on": 71, "_static_ones_lik": 71, "_static_tril": 71, "_static_triu": 71, "_static_zero": 71, "_static_zeros_lik": 71, "frombuff": [71, 616], "expos": [71, 129, 530, 616, 621, 799, 813, 834, 838, 844], "x00": [71, 129, 616], "xf0": [71, 129, 616], "x01": [71, 129, 616], "x02": [71, 129, 616], "x03": [71, 129, 616], "x04": [71, 129, 616], "x05": [71, 129], "5443469": [71, 133, 616], "static_frombuff": 71, "static_triu_indic": 71, "triu_indic": [71, 616], "_containerwithdatatyp": [72, 98], "_static_astyp": 72, "718": [72, 74, 147, 264, 617], "618": [72, 74, 147, 264, 617], "static_astyp": 72, "_static_broadcast_arrai": 72, "static_broadcast_arrai": 72, "_static_broadcast_to": 72, "static_broadcast_to": 72, "_static_can_cast": 72, "from_": [72, 150, 617], "static_can_cast": 72, "_static_default_complex_dtyp": 72, "complex_dtyp": [72, 153, 176, 617], "_static_default_float_dtyp": 72, "float_dtyp": [72, 155, 178, 617], "_static_dtyp": 72, "_static_finfo": 72, "inquir": [72, 160, 163], "static_finfo": 72, "55040e": [72, 160, 617], "7976931348623157e": [72, 160, 617], "308": [72, 160, 617, 763, 829], "_static_function_supported_dtyp": 72, "_static_function_unsupported_dtyp": 72, "_static_iinfo": 72, "1800": [72, 163, 617], "1084": 72, "40000": 72, "static_iinfo": 72, "2147483648": [72, 75, 163, 371, 481, 617], "2147483647": [72, 163, 617], "_static_is_bool_dtyp": 72, "dtype_in": [72, 145, 146, 159, 165, 166, 167, 168, 169, 170, 171, 172, 187, 617], "_static_is_complex_dtyp": 72, "is_complex_dtyp": [72, 617, 830], "roughli": [72, 805, 808, 858], "static_is_complex_dtyp": 72, "_static_is_float_dtyp": 72, "static_is_float_dtyp": 72, "_static_is_int_dtyp": 72, "_static_is_uint_dtyp": 72, "_static_result_typ": 72, "static_result_typ": 72, "broadcats": [72, 148], "_containerwithdevic": [73, 98], "_static_dev": 73, "static_dev": 73, "_static_to_devic": 73, "static_to_devic": 73, "contaion": [73, 192], "_containerwithelementwis": [74, 98], "_static_ab": 74, "static_ab": 74, "_static_aco": 74, "static_aco": 74, "_static_acosh": 74, "static_acosh": 74, "_static_add": 74, "static_add": [74, 102], "_static_asin": 74, "static_asin": 74, "524": [74, 220, 619], "412": [74, 79, 220, 619, 628, 705], "_static_asinh": 74, "static_asinh": 74, "_static_atan": 74, "static_atan": 74, "_static_atan2": 74, "static_atan2": 74, "915": [74, 223, 619], "983": [74, 223, 619], "978": [74, 223, 619], "696": [74, 84, 223, 619, 727], "993": [74, 223, 619], "_static_atanh": 74, "static_atanh": 74, "_static_bitwise_and": 74, "static_bitwise_and": 74, "_static_bitwise_invert": 74, "static_bitwise_invert": 74, "_static_bitwise_left_shift": 74, "_static_bitwise_or": 74, "static_bitwise_or": 74, "_static_bitwise_right_shift": 74, "static_bitwise_right_shift": 74, "_static_bitwise_xor": 74, "static_bitwise_xor": 74, "_static_ceil": 74, "static_ceil": 74, "_static_co": 74, "static_co": 74, "_static_cosh": 74, "static_cosh": 74, "_static_deg2rad": 74, "static_deg2rad": 74, "0262": [74, 234, 274, 619], "873": [74, 234, 274, 619], "_static_divid": 74, "static_divid": 74, "_static_equ": 74, "static_equ": 74, "_static_erf": 74, "static_erf": 74, "27632612": [74, 237], "934008": [74, 237, 619], "99999928": [74, 237], "91903949": [74, 237], "_static_exp": 74, "static_exp": 74, "59814835": [74, 238, 619], "4131622": [74, 238], "_static_expm1": 74, "thefunct": [74, 237], "areal": 74, "static_expm1": 74, "71828175": [74, 238, 619], "38905621": [74, 238, 619], "59815216": 74, "_static_floor": 74, "static_floor": 74, "_static_floor_divid": 74, "static_floor_divid": 74, "_static_great": 74, "static_great": 74, "_static_greater_equ": 74, "static_greater_equ": 74, "_static_isfinit": 74, "999999999999": [74, 249, 619], "static_isfinit": 74, "_static_isinf": 74, "static_isinf": 74, "_static_isnan": 74, "static_isnan": 74, "_static_isr": 74, "0j": [74, 75, 137, 138, 216, 217, 218, 221, 224, 233, 238, 240, 252, 256, 258, 275, 279, 281, 282, 286, 332, 365, 616, 619, 624, 672], "23j": [74, 75], "9j": [74, 75], "static_isr": 74, "_static_lcm": 74, "1080": [74, 253], "1550": [74, 253], "130": [74, 253, 371, 478], "_static_less": 74, "static_less": 74, "_static_less_equ": 74, "static_less_equ": 74, "_static_log": 74, "static_log": 74, "_static_log10": 74, "static_log10": 74, "898": [74, 257, 619], "0414": [74, 257, 619], "_static_log1p": 74, "static_log1p": 74, "_static_log2": 74, "static_log2": 74, "_static_logaddexp": 74, "static_logaddexp": 74, "_static_logical_and": 74, "static_logical_and": 74, "_static_logical_not": 74, "static_logical_not": 74, "_static_logical_or": 74, "static_logical_or": 74, "_static_logical_xor": 74, "static_logical_xor": 74, "_static_maximum": 74, "static_maximum": 74, "_static_minimum": 74, "static_minimum": 74, "_static_multipli": 74, "static_multipli": 74, "_static_neg": 74, "static_neg": 74, "_static_not_equ": 74, "static_not_equ": 74, "_static_posit": 74, "static_posit": 74, "_static_pow": 74, "static_pow": 74, "_static_rad2deg": 74, "static_rad2deg": 74, "5160": 74, "10300": [74, 274, 619], "15500": 74, "20600": 74, "2860": [74, 274], "_static_reciproc": 74, "recirpoc": [74, 276], "static_reciproc": 74, "_static_remaind": 74, "static_remaind": 74, "_static_round": 74, "thevfunct": 74, "527": [74, 278, 619], "static_round": 74, "301": [74, 278, 619], "_static_sign": 74, "static_sign": 74, "_static_sin": 74, "static_sin": 74, "757": [74, 280, 619], "959": [74, 240, 280, 619], "279": [74, 280, 368, 389, 399, 528, 619, 621], "_static_sinh": 74, "static_sinh": 74, "835": [74, 281], "347": [74, 281], "721": [74, 281], "_static_sqrt": 74, "static_sqrt": 74, "_static_squar": 74, "static_squar": 74, "_static_subtract": 74, "static_subtract": 74, "_static_tan": 74, "static_tan": 74, "_static_tanh": 74, "static_tanh": 74, "995": [74, 286, 619], "9999": 74, "_static_trapz": 74, "static_trapz": 74, "_static_trunc": 74, "static_trunc": 74, "_static_trunc_divid": 74, "75j": [74, 219, 248], "01317055": [74, 219], "05634501": [74, 219], "115": [74, 219, 274, 619], "3461759": [74, 219], "524111": [74, 219], "644": [74, 220, 619, 838], "305": [74, 79, 220, 619], "351": [74, 234, 274], "00613": [74, 234], "0154": [74, 234], "403": [74, 238], "428772": [74, 238], "649": [74, 240], "220": [74, 240], "865": [74, 240], "metho": [74, 247, 259], "7j": [74, 75, 252, 275, 332, 365, 619], "956": [74, 258], "08746284": [74, 261], "32192809": [74, 261], "nuner": [74, 268], "413": [74, 274], "335": [74, 75, 275, 332], "345j": [74, 75, 275, 332], "static_angl": 74, "static_exp2": 74, "static_fmin": 74, "static_gcd": 74, "static_imag": 74, "static_logaddexp2": 74, "static_nan_to_num": 74, "static_r": 74, "_containerwithactivationexperiment": [75, 98], "_static_celu": 75, "formlat": 75, "static_celu": 75, "_static_elu": 75, "static_elu": 75, "_static_hardshrink": 75, "hard": [75, 292, 806, 836, 855], "shrinkag": [75, 292, 301, 371, 480], "_static_hardtanh": 75, "static_hardtanh": [75, 293], "_static_scaled_tanh": 75, "931": 75, "71587813": 75, "88367474": 75, "00376701": [75, 298], "2285642": 75, "99999881": 75, "49999905": 75, "_static_silu": 75, "static_silu": 75, "27777028": [75, 300], "23947507": [75, 300], "0900332": [75, 300], "_static_softshrink": 75, "_static_tanhshrink": 75, "36634541": [75, 303], "02005103": [75, 303], "00262468": [75, 303], "_static_threshold": 75, "19722462": [75, 294], "84729779": [75, 294], "31326163": [75, 295], "46328258": [75, 295], "51301527": [75, 295], "79813886": [75, 295], "simplywrap": [75, 298], "54939651": [75, 298], "09999998": [75, 298, 602, 622], "09999999": [75, 298], "08336546": [75, 298], "0379949": [75, 298], "22856998": [75, 299], "42028043": [75, 299], "31868932": [75, 299], "static_logit": 75, "static_logsigmoid": 75, "34115386": 75, "64439666": 75, "24115384": 75, "55435526": 75, "07888974": 75, "00741899": 75, "26328245": 75, "00012302": 75, "static_prelu": 75, "static_relu6": 75, "static_selu": 75, "static_thresholded_relu": 75, "_containerwithconversionexperiment": [75, 98], "_containerwithcreationexperiment": [75, 98], "_static_trilu": 75, "blackman": [75, 306, 362], "00770143e": [75, 306], "49229857e": [75, 306], "hamming_window": [75, 362], "ham": [75, 308, 362], "4180": [75, 308], "8180": [75, 308], "hann_window": [75, 362], "hann": [75, 309, 362], "7500": [75, 309], "3455": [75, 309], "9045": [75, 309], "kaiser_bessel_derived_window": [75, 362], "suitabl": [75, 311, 312, 362, 633, 742, 765, 805, 806, 812, 830, 855], "spectral": [75, 311, 312, 362], "analysi": [75, 311, 312, 362, 855, 856], "kaiser": [75, 306, 311, 312, 362], "70710677": [75, 311, 493, 495], "18493208": [75, 311, 362], "9827513": [75, 311, 362], "kaiser_window": [75, 362], "static_kaiser_window": [75, 312], "2049": [75, 312], "8712": [75, 312], "0367": [75, 312, 362], "7753": [75, 312], "static_blackman_window": 75, "static_eye_lik": 75, "static_hamming_window": 75, "static_hann_window": 75, "static_hann": 75, "static_kaiser_bessel_derived_window": 75, "static_mel_weight_matrix": 75, "static_polyv": 75, "static_tril_indic": 75, "static_unsorted_segment_mean": 75, "static_unsorted_segment_min": 75, "static_unsorted_segment_sum": 75, "static_vorbis_window": 75, "vorbis_window": [75, 362], "vorbi": [75, 327, 362], "38268343": [75, 327, 624, 659], "92387953": [75, 327], "14943586": [75, 327, 362], "51644717": [75, 327], "85631905": [75, 327], "98877142": [75, 327], "tril_indic": [75, 362], "_containerwithdata_typeexperiment": [75, 98], "_containerwithdeviceexperiment": [75, 98], "_containerwithelementwiseexperiment": [75, 98], "0003": [75, 328, 624, 662, 763, 766], "0006": [75, 328, 355], "2345j": [75, 332], "5772": [75, 336], "9635": [75, 336], "4228": [75, 336], "9228": [75, 336], "57299206e": [75, 337], "67773480e": [75, 337], "20904985e": [75, 337], "84270084": [75, 337, 365], "99532223": [75, 337], "99997795": [75, 337], "mantissa": [75, 341, 365, 814], "frist": [75, 342, 365], "coord": [75, 342], "6055": [75, 343], "160": [75, 345, 371, 478], "10240": [75, 345], "60000038": [75, 346, 365, 624, 680], "0707": [75, 352, 365], "0579": [75, 352, 365], "static_allclos": 75, "static_amax": 75, "static_amin": 75, "static_binar": 75, "static_conj": 75, "static_copysign": 75, "static_count_nonzero": 75, "static_diff": 75, "static_digamma": 75, "57721537": 75, "96351004": 75, "static_erfc": 75, "15729921": 75, "00467773": [75, 337, 365], "static_fix": 75, "static_float_pow": 75, "static_fmax": 75, "static_fmod": 75, "static_frexp": 75, "static_gradi": 75, "static_hypot": 75, "static_isclos": 75, "static_ldexp": 75, "static_lerp": 75, "90000057": [75, 346, 365], "70000076": [75, 346, 365], "55000019": [75, 346, 365], "05000019": [75, 346, 365], "static_modf": 75, "static_nansum": 75, "static_nextaft": 75, "static_signbit": 75, "static_sinc": 75, "636": 75, "090": 75, "070": 75, "057": 75, "static_sparsify_tensor": 75, "static_xlogi": 75, "static_zeta": 75, "0244": [75, 355], "_containerwithgeneralexperiment": [75, 98], "_static_reduc": 75, "static_reduc": 75, "_containerwithgradientsexperiment": [75, 98], "_containerwithimageexperiment": [75, 98], "_containerwithlayersexperiment": [75, 98], "_static_fft": 75, "static_fft": 75, "_static_sliding_window": 75, "673": [75, 389], "0507": [75, 389], "79711437": [75, 368, 389, 399], "94867325": [75, 368, 389, 399], "74089146": [75, 368, 389, 399], "25980937": [75, 368, 389, 399], "64958102": [75, 368, 389, 399], "2442648": [75, 368, 389, 399], "247306": [75, 401], "908323j": [75, 401], "494955": [75, 401], "90395j": [75, 401], "static_adaptive_avg_pool1d": 75, "static_adaptive_avg_pool2d": 75, "static_adaptive_max_pool2d": 75, "static_avg_pool1d": 75, "static_avg_pool2d": 75, "static_avg_pool3d": 75, "static_dct": 75, "253": [75, 281, 619], "515": [75, 630, 727], "467": 75, "static_dft": 75, "static_embed": 75, "static_idct": 75, "93732834": [75, 368, 389], "75048852": [75, 368, 389], "29723358": [75, 368, 399], "6950531": 75, "93914509": 75, "88008738": 75, "18951225": 75, "06697273": [75, 368, 399], "57439804": 75, "68861485": [75, 368, 399], "41308832": [75, 368, 399], "0700836": 75, "2449036": 75, "6711426": 75, "514": 75, "501709": 75, "4924011": 75, "static_ifft": 75, "static_ifftn": 75, "static_interpol": 75, "static_max_pool1d": 75, "static_max_pool2d": 75, "max_pool2dd": 75, "static_max_pool3d": 75, "static_max_unpool1d": 75, "static_rfft": 75, "static_rfftn": 75, "static_rnn": 75, "step_funct": [75, 368, 413], "initial_st": [75, 368, 413], "go_backward": [75, 368, 413], "unrol": [75, 368, 413, 623, 648, 834, 837], "input_length": [75, 368, 413], "time_major": [75, 368, 413, 623, 648], "zero_output_for_mask": [75, 368, 413], "return_all_output": [75, 368, 413], "rnn": [75, 368, 855], "tempor": [75, 368, 413], "state_s": [75, 368, 413], "while_loop": [75, 368, 413, 615], "otput": [75, 368, 413], "funciton": [75, 368, 413], "static_stft": 75, "_containerwithlinearalgebraexperiment": [75, 98], "933034": [75, 369, 418], "eigenvealu": [75, 421, 658], "xx": [75, 421, 423, 658], "37228107": [75, 421, 658], "3722816": [75, 421, 658], "8245648": [75, 421, 658], "41597357": [75, 421, 658], "56576747": [75, 421, 658], "9093767": [75, 421, 658], "56155": [75, 422], "82842": [75, 422], "450": [75, 428], "static_adjoint": 75, "static_batched_out": 75, "static_cond": 75, "static_diagflat": 75, "static_dot": 75, "static_eig": 75, "static_eigh_tridiagon": 75, "static_eigv": 75, "static_higher_order_mo": 75, "static_initialize_tuck": 75, "static_kron": 75, "kroneck": [75, 369, 427, 428], "static_make_svd_non_neg": 75, "static_matrix_exp": 75, "static_mode_dot": 75, "static_multi_dot": 75, "static_multi_mode_dot": 75, "static_partial_tuck": 75, "static_svd_flip": 75, "static_tensor_train": 75, "static_truncated_svd": 75, "static_tt_matrix_to_tensor": 75, "tt_matrix": [75, 369, 440], "output_tensor": [75, 95, 369, 440], "static_tuck": 75, "_containerwithlossesexperiment": [75, 98], "_static_huber_loss": 75, "static_huber_loss": 75, "0575": [75, 442], "_static_kl_div": 75, "_static_l1_loss": 75, "static_l1_loss": 75, "_static_log_poisson_loss": 75, "static_log_poisson_loss": 75, "_static_poisson_nll_loss": 75, "06446016": 75, "55611551": 75, "30244565": [75, 446], "_static_smooth_l1_loss": 75, "static_smooth_l1_loss": 75, "_static_soft_margin_loss": 75, "06429195": [75, 446], "_containerwithmanipulationexperiment": [75, 98], "_static_fill_diagon": 75, "_static_put_along_axi": 75, "_static_tak": 75, "69999981": [75, 301, 360, 371, 457, 481], "_static_trim_zero": 75, "_static_unique_consecut": 75, "ary1": [75, 371, 451, 452, 453], "ary2": [75, 371, 451, 452, 453], "broadcast_shap": [75, 101, 371, 763, 765], "static_concat_from_sequ": [75, 458], "30192195": [75, 470], "static_as_strid": 75, "static_atleast_1d": 75, "static_atleast_2d": 75, "static_atleast_3d": 75, "static_broadcast_shap": 75, "static_column_stack": 75, "static_dsplit": 75, "static_dstack": 75, "static_expand": 75, "static_flatten": 75, "static_fliplr": 75, "static_flipud": 75, "static_fold": 75, "static_heavisid": 75, "static_hsplit": 75, "static_hstack": 75, "static_i0": 75, "static_matric": 75, "static_moveaxi": 75, "static_pad": 75, "static_partial_fold": 75, "static_partial_tensor_to_vec": 75, "static_partial_unfold": 75, "static_partial_vec_to_tensor": 75, "static_rot90": 75, "static_soft_threshold": 75, "static_take_along_axi": 75, "static_top_k": 75, "static_unfold": 75, "static_vsplit": 75, "static_vstack": 75, "_containerwithnormsexperiment": [75, 98], "16903085": [75, 493, 495], "50709254": [75, 493, 495], "84515423": [75, 493, 495], "44183609": [75, 493, 495], "56807494": [75, 493, 495], "69431382": [75, 493, 495], "static_batch_norm": 75, "static_group_norm": 75, "static_instance_norm": 75, "static_l1_norm": 75, "static_l2_norm": 75, "static_lp_norm": 75, "12500000": 75, "37500000": 75, "62500000": 75, "27500000": 75, "35000000": 75, "42500000": 75, "0000000": 75, "5000000": 75, "2500000": 75, "_containerwithrandomexperiment": [75, 98], "43643127": [75, 498], "32325703": [75, 498], "24031169": [75, 498], "34251311": [75, 498], "31692529": [75, 498], "3405616": [75, 498], "5319725": [75, 498], "22458365": [75, 498], "24344385": [75, 498], "26588406": [75, 498], "61075421": [75, 498], "12336174": [75, 498], "51142915": [75, 498], "25041268": [75, 498], "23815817": [75, 498], "64042903": [75, 498], "25763214": [75, 498], "10193883": [75, 498], "31624692": [75, 498], "46567987": [75, 498], "21807321": [75, 498], "37677699": [75, 498], "39914594": [75, 498], "22407707": [75, 498], "static_bernoulli": 75, "static_beta": 75, "static_dirichlet": 75, "static_gamma": 75, "static_poisson": 75, "_containerwithsearchingexperiment": [75, 98], "static_unravel_index": 75, "_containerwithsetexperiment": [75, 98], "_containerwithsortingexperiment": [75, 98], "invert_permut": [75, 378], "static_invert_permut": 75, "static_lexsort": [75, 87], "_containerwithstatisticalexperiment": [75, 98], "_static_cummax": 75, "static_cummax": 75, "_static_cummin": 75, "static_cummin": 75, "_static_nanmin": 75, "static_nanmin": 75, "func_nam": [75, 513, 804, 816, 817, 822, 826], "static_bincount": 75, "static_corrcoef": 75, "static_cov": [75, 380, 510], "static_histogram": 75, "static_igamma": 75, "static_median": 75, "static_nanmean": 75, "static_nanmedian": 75, "static_nanprod": 75, "static_quantil": 75, "_containerwithutilityexperiment": [75, 98], "static_optional_get_el": 75, "_containerwithgener": [76, 98], "_static_all_equ": 76, "static_all_equ": 76, "_static_array_equ": 76, "a0": [76, 371, 457], "static_array_equ": 76, "_static_assert_supports_inplac": 76, "_static_clip_matrix_norm": 76, "static_clip_matrix_norm": 76, "849": [76, 528, 529, 621], "_static_clip_vector_norm": 76, "static_clip_vector_norm": 76, "_static_einops_rearrang": 76, "static_einops_rearrang": 76, "_static_einops_reduc": 76, "static_einops_reduc": 76, "29333329": [76, 534, 621], "53000069": [76, 534, 621], "39666676": [76, 534, 621], "20666695": [76, 534, 621], "_static_einops_repeat": 76, "static_einops_repeat": 76, "_static_exist": 76, "_static_fourier_encod": 76, "static_fourier_encod": 76, "classivi": [76, 626, 632, 695, 737], "89858720e": 76, "79717439e": 76, "_static_gath": 76, "static_gath": 76, "_static_gather_nd": 76, "static_gather_nd": 76, "_static_get_num_dim": 76, "static_get_num_dim": 76, "_static_has_nan": 76, "leafwis": 76, "static_has_nan": 76, "_static_inplace_decr": 76, "_static_inplace_incr": 76, "_static_inplace_upd": 76, "_static_is_arrai": 76, "static_is_arrai": 76, "_static_is_ivy_arrai": 76, "static_is_ivy_arrai": 76, "_static_is_native_arrai": 76, "static_is_native_arrai": 76, "_static_scatter_flat": 76, "_static_scatter_nd": 76, "static_scatter_nd": 76, "_static_stable_divid": 76, "22222222": 76, "11111111": 76, "857": [76, 579, 621], "444": 76, "_static_stable_pow": 76, "00012": [76, 580, 621], "00016": [76, 77, 580, 608, 621, 622], "00001": [76, 580, 621, 763], "00032": [76, 580], "00256": [76, 580], "1679638": [76, 580], "395": [76, 580], "16777383": [76, 580], "_static_supports_inplace_upd": 76, "_static_to_list": 76, "static_to_list": 76, "_static_to_numpi": 76, "static_to_numpi": 76, "_static_to_scalar": 76, "static_to_scalar": 76, "_static_value_is_nan": 76, "452": 76, "static_value_is_nan": 76, "833": [76, 529], "items": [76, 97, 621], "static_isin": 76, "static_items": 76, "static_strid": 76, "425": [76, 600], "_containerwithgradi": [77, 98], "_static_stop_gradi": 77, "static_stop_gradi": 77, "976": [77, 286, 602, 619, 622], "49e": [77, 602, 622], "74e": [77, 602, 622], "95e": [77, 602, 622], "024": [77, 602, 622], "096": [77, 602, 622], "216": [77, 80, 602, 622, 679], "626": [77, 602, 622], "en": [77, 602, 603, 622, 813], "wikipedia": [77, 602, 603, 622], "wiki": [77, 602, 603, 622], "stochastic_gradient_desc": [77, 602, 603, 622], "01099": [77, 603], "01003": [77, 603, 622], "01015": [77, 603, 622], "99936122": [77, 603, 622], "99936116": [77, 603, 622], "99936128": [77, 603, 622], "99936104": [77, 603, 622], "w_new": [77, 606, 622], "708": [77, 608, 622], "445": [77, 608, 622], "6e": [77, 608, 622], "00036": [77, 608, 622], "00049": [77, 608, 622], "layerwis": [77, 609, 622], "01132035": [77, 609, 622], "22264051": [77, 609, 622], "2056601": [77, 609, 622], "1324538": [77, 609, 622], "56490755": [77, 609, 622], "96622658": [77, 609, 622], "90848625": [77, 609, 622], "93616199": [77, 609, 622], "77232409": [77, 609, 622], "_containerwithimag": [78, 98], "_containerwithlay": [79, 98], "_static_conv1d": 79, "static_conv1d": 79, "_static_conv1d_transpos": 79, "static_conv1d_transpos": 79, "112": [79, 624, 634, 638, 669, 746], "_static_conv2d": 79, "ey": [79, 616, 623, 639, 645, 832, 839], "static_conv2d": 79, "_static_conv2d_transpos": 79, "static_conv2d_transpos": 79, "_static_conv3d": 79, "fdfh": [79, 641], "static_conv3d": 79, "_static_conv3d_transpos": 79, "static_conv3d_transpos": 79, "_static_depthwise_conv2d": 79, "inp": [79, 623, 645], "static_depthwise_conv2d": 79, "_static_dropout": 79, "static_dropout": 79, "_static_dropout1d": 79, "static_dropout1d": 79, "_static_dropout2d": 79, "_static_dropout3d": 79, "_static_linear": 79, "278": [79, 623, 646, 647], "static_linear": 79, "195": 79, "_static_lstm_upd": 79, "_static_multi_head_attent": 79, "_static_reduce_window": 79, "_static_scaled_dot_product_attent": 79, "static_scaled_dot_product_attent": 79, "39999962": [79, 623, 646, 647], "19999695": [79, 647], "11600018": [79, 647], "88399887": [79, 647], "196": [79, 623, 647], "306": [79, 623, 647], "19999981": [79, 292, 304, 360, 623, 646, 652], "59249449": [79, 623, 652], "68226194": [79, 623, 652], "19603825": [79, 623, 652], "9960382": [79, 623, 652], "26894283": [79, 623, 652], "40236187": [79, 623, 652], "39999437": [79, 623, 652], "59999037": [79, 623, 652], "35046196": [79, 623, 652], "54282808": [79, 623, 652], "39989519": [79, 623, 652], "5998764": [79, 623, 652], "_containerwithlinearalgebra": [80, 98], "_static_choleski": 80, "static_choleski": 80, "577": [80, 624, 653], "707": [80, 624, 653], "static_rol": [80, 82], "_static_cross": 80, "static_cross": 80, "_static_det": 80, "_static_diag": 80, "_static_diagon": 80, "static_diagon": 80, "_static_eigh": 80, "_static_eigvalsh": 80, "static_eigvalsh": 80, "51572949": [80, 624, 660], "17091519": [80, 624, 660], "3448143": [80, 624, 660], "35898387e": [80, 624, 660], "46410179e": [80, 624, 660], "_static_inn": 80, "static_inn": 80, "_static_inv": 80, "static_inv": 80, "_static_matmul": 80, "matul": 80, "static_matmul": 80, "_static_matrix_norm": 80, "deimens": 80, "static_matrix_norm": 80, "_static_matrix_pow": 80, "_static_matrix_rank": 80, "static_matrix_rank": 80, "_static_matrix_transpos": 80, "static_matrix_transpos": 80, "_static_out": 80, "n1": [80, 134, 616], "n2": [80, 134, 616], "static_out": [80, 669], "_static_pinv": 80, "static_pinv": 80, "0426": 80, "0964": 80, "0605": 80, "1368": 80, "_static_qr": 80, "static_qr": 80, "31622777": [80, 624, 671], "9486833": [80, 624, 671], "4472136": [80, 624, 671], "89442719": [80, 624, 671], "16227766": [80, 624, 671], "42718872": [80, 624, 671], "63245553": [80, 624, 671], "47213595": [80, 624, 671], "81377674": [80, 624, 671], "_static_slogdet": 80, "static_slogdet": 80, "6931472": 80, "0986123": 80, "_static_solv": 80, "_static_svd": 80, "static_svd": 80, "au": 80, "aS": 80, "avh": 80, "bu": [80, 845], "bvh": 80, "_static_svdv": 80, "_static_tensordot": 80, "_static_tensorsolv": 80, "_static_trac": 80, "static_trac": 80, "_static_vand": 80, "static_vand": 80, "343": [80, 278, 619, 679], "729": [80, 679, 838], "_static_vecdot": 80, "_static_vector_norm": 80, "static_vector_norm": 80, "77359247": [80, 681], "_static_vector_to_skew_symmetric_matrix": 80, "09861231": [80, 624, 672], "static_general_inner_product": 80, "3475602": [80, 674], "93765765": [80, 674], "58776021": [80, 674], "10416126": [80, 674], "80644298": [80, 674], "87024701": [80, 674], "48127627": [80, 674], "79101127": [80, 674], "98288572": [80, 674], "68917423": [80, 674], "_containerwithloss": [81, 98], "_static_binary_cross_entropi": 81, "static_binary_cross_entropi": 81, "511": [81, 625, 683, 685], "_static_cross_entropi": 81, "static_cross_entropi": 81, "20397282": 81, "83258148": 81, "60943794": [81, 624, 672], "_static_sparse_cross_entropi": 81, "static_sparse_cross_entropi": 81, "5108256": [81, 684], "609438": [81, 684], "_containerwithmanipul": [82, 98], "_static_clip": 82, "static_clip": 82, "_static_concat": 82, "_static_constant_pad": 82, "static_constant_pad": 82, "_static_expand_dim": 82, "static_expand_dim": 82, "container_axi": [82, 626, 689], "_static_flip": 82, "static_flip": 82, "_static_permute_dim": 82, "static_permute_dim": 82, "_static_repeat": 82, "static_repeat": 82, "_static_reshap": 82, "static_reshap": 82, "_static_rol": 82, "positivclip": 82, "_static_split": 82, "static_split": 82, "_static_squeez": 82, "static_squeez": 82, "_static_stack": 82, "leavv": 82, "static_stack": 82, "_static_swapax": 82, "_static_til": 82, "static_til": 82, "_static_unstack": 82, "static_unstack": 82, "_static_zero_pad": 82, "repreat": [82, 692], "_containerwithnorm": [83, 98], "34198591": [83, 629, 724], "04274819": [83, 629, 724], "29923761": [83, 629, 724], "24053511": [83, 629, 724], "62221265": [83, 724], "20277636": [83, 724], "41943574": [83, 724], "83710337": [83, 724], "_containerwithrandom": [84, 98], "_static_multinomi": 84, "_static_randint": 84, "static_randint": 84, "_static_random_norm": 84, "static_random_norm": 84, "651": 84, "_static_random_uniform": 84, "static_random_uniform": 84, "481": 84, "0999": 84, "_static_shuffl": 84, "static_shuffl": 84, "431": [84, 727], "274": [84, 727], "_containerwithsearch": [85, 98], "_static_argmax": 85, "static_argmax": 85, "_static_argmin": 85, "static_argmin": 85, "_static_argwher": 85, "static_argwher": 85, "_static_nonzero": 85, "_static_wher": 85, "static_wher": 85, "_containerwithset": [86, 98], "_static_unique_al": 86, "static_unique_al": 86, "_static_unique_count": 86, "static_unique_count": 86, "_static_unique_invers": 86, "static_unique_invers": 86, "_static_unique_valu": 86, "_containerwithsort": [87, 98], "_static_argsort": 87, "static_argsort": 87, "_static_searchsort": 87, "_static_sort": 87, "static_sort": 87, "static_msort": 87, "_containerwithstatist": [88, 98], "_static_cumprod": 88, "static_cumprod": 88, "_static_cumsum": 88, "static_cumsum": 88, "_static_min": 88, "_static_prod": 88, "static_prod": 88, "11000001": [88, 750], "23100001": [88, 750], "30800003": [88, 634, 750], "_static_sum": 88, "_static_var": 88, "static_var": 88, "12666667": [88, 634, 753], "11555555": [88, 634, 753], "rtype": [88, 746, 792], "respectv": [88, 751], "81649649": [88, 751], "94280904": [88, 751], "509902": [88, 634, 751], "2472192": [88, 751], "44948983": [88, 751], "41421354": [88, 751], "6666667": [88, 753], "_containerwithutil": [89, 98], "_static_al": 89, "static_al": 89, "_static_ani": 89, "static_ani": 89, "add_ivy_container_instance_method": 90, "containerexampl": 90, "factorized_tensor": [91, 92, 93, 94, 95, 96], "factorizedtensor": [91, 92, 93, 94, 95, 96], "matrix_or_tensor": 91, "to_tensor": [91, 92, 93, 94, 95, 96], "to_unfold": [91, 92, 93, 94, 95, 96], "to_vec": [91, 92, 93, 94, 95, 96], "cp_tensor": [92, 93], "cptensor": [92, 93, 317, 362], "cp_copi": 92, "cp_flip_sign": 92, "s_i": [92, 93], "normalisation_weight": [92, 93], "normalised_factor": [92, 93], "cp_lstsq_grad": 92, "return_loss": 92, "nabla": 92, "mathcal": 92, "mathbf": 92, "factor_matric": 92, "cp_gradient": 92, "quantiti": 92, "cp_mode_dot": 92, "keep_dim": [92, 96], "cp_multi_mode_dot": 92, "cp_n_param": 92, "tensor_shap": [92, 94, 95, 96], "n_param": [92, 93, 94, 95, 96], "cp_norm": 92, "cp_to_tensor": 92, "khatria": 92, "rao": [92, 369, 427], "khatri": [92, 369, 427], "cp_normal": 92, "normalis": [92, 93], "u_1": [92, 93], "u_n": [92, 93], "v_1": [92, 93], "v_n": [92, 93], "v_k": [92, 93], "u_k": [92, 93], "absorb": [92, 93], "refold": [92, 371, 466, 477], "cp_to_unfold": 92, "ie": 92, "s_u_i": 92, "exploit": [92, 858], "khatri_rao": [92, 369], "cp_to_vec": 92, "ravel": [92, 832], "unfolding_dot_khatri_rao": 92, "mttkrp": 92, "validate_cp_rank": 92, "percent": [92, 95], "validate_cp_tensor": 92, "parafac2_tensor": 93, "parafac2tensor": [93, 318, 362], "apply_parafac2_project": 93, "evolv": [93, 844, 855], "b_i": 93, "ijk": [93, 793], "sum_r": 93, "a_": 93, "ir": [93, 853, 856, 861], "jr": 93, "kr": 93, "coupl": [93, 805, 809, 836, 838, 855], "factoris": 93, "i1": [93, 380, 513], "classmethod": [93, 100, 101, 768], "from_cptensor": 93, "parafac2_tensor_ok": 93, "parafac2_normalis": 93, "normalised_project": 93, "parafac2_to_slic": 93, "slice_idx": 93, "frontal": 93, "a_i": 93, "j_i": 93, "b_": 93, "reformul": 93, "p_i": 93, "orthogon": [93, 317, 321, 362, 369, 421, 435, 441, 624, 658, 659], "sum_": 93, "ijr": 93, "constraint": [93, 793, 813, 814, 824], "projection_matric": 93, "parafac2_to_tensor": 93, "construct": [93, 626, 699, 779, 782, 783, 784, 828, 834, 838, 839, 853, 855, 862], "uneven": 93, "parafac2_to_unfold": 93, "parafac2_to_vec": 93, "validate_parafac2_tensor": 93, "cp": [93, 317, 362, 806], "tr_tensor": 94, "trtensor": [94, 319, 362], "tr_n_param": 94, "tr_to_tensor": 94, "tr_to_unfold": 94, "tr_to_vec": 94, "validate_tr_rank": 94, "validate_tr_tensor": 94, "tt_tensor": 95, "_tt_n_param": 95, "mp": [95, 320, 362], "index_upd": 95, "pad_tt_rank": 95, "factor_list": 95, "n_pad": 95, "pad_boundari": 95, "ring": 95, "bond": 95, "padded_factor_list": 95, "tt_to_tensor": 95, "assembl": [95, 369, 440], "tt_to_unfold": 95, "reassembl": 95, "tt_to_vec": 95, "validate_tt_rank": 95, "constant_rank": 95, "allow_overparametr": 95, "proport": [95, 778], "realiz": [95, 855], "validate_tt_tensor": 95, "tucker_tensor": 96, "tucker_copi": 96, "tucker_mode_dot": [96, 862], "tucker_n_param": 96, "tucker_norm": 96, "tucker_to_tensor": 96, "skip_factor": 96, "transpose_factor": 96, "tucker_to_unfold": 96, "tucker_to_vec": 96, "validate_tucker_rank": 96, "fixed_mod": 96, "validate_tucker_tensor": 96, "_bisection_root_find": 96, "fun": [96, 359, 367, 601, 621, 628, 716, 813], "max_it": 96, "__abs__": [97, 98], "__add__": [97, 98, 809, 812, 816, 817, 821, 826, 827, 836], "__eq__": [97, 98], "__ge__": [97, 98], "__gt__": [97, 98, 832], "__le__": [97, 98], "__lt__": [97, 98], "__ne__": [97, 98], "__pow__": [97, 98, 836], "69678056": 97, "59876156": 97, "82660675": 97, "__radd__": [97, 98, 816, 817, 826], "__rrshift__": [97, 98], "__rshift__": [97, 98], "__rsub__": [97, 98], "__sub__": [97, 98, 809, 812, 816, 821, 836], "__truediv__": [97, 98, 809, 812, 816], "__xor__": [97, 98], "referenc": [97, 818, 825], "resid": [97, 101, 626, 689, 826, 834, 838], "mt": [97, 836], "hopefulli": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 802, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846], "overview": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 799, 811, 813, 827, 829, 833], "reach": [97, 98, 613, 614, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 775, 776, 778, 779, 781, 782, 783, 784, 802, 804, 805, 806, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 827, 829, 830, 832, 834, 835, 836, 837, 838, 839, 844, 845, 846, 854, 855], "eq": 98, "ge": 98, "le": 98, "ne": 98, "75979435": 98, "52153397": 98, "13532257": 98, "rshift": 98, "truediv": 98, "66666669": [98, 374, 495, 604, 622], "nested_arrai": [100, 101, 102, 811], "nestedarrai": 100, "nested_rank": [100, 101, 102], "inner_shap": [100, 101, 102], "nestedarraybas": [100, 101, 102], "from_row_length": 100, "row_length": 100, "from_row_split": 100, "row_split": 100, "ragged_map": 101, "ragged_multi_map": 101, "ragged_arrai": 101, "ragged_multi_map_in_funct": 101, "replace_ivy_arrai": 101, "unbind": 101, "nestedarrayelementwis": 102, "strictli": [107, 110, 113, 242, 613, 619, 821, 825], "24000001": [107, 613], "703": [108, 613], "683": [108, 613], "408": [108, 613], "313": [108, 613], "437": [108, 613], "40337825": [109, 613], "56114835": [109, 613], "20788449": [109, 613], "0768": [112, 613], "231": [112, 613], "\u03b2": [113, 613], "66666667": [114, 380, 510, 613], "body_fn": [117, 118, 120, 615], "bodi": [117, 120, 615, 808, 829], "lst": [117, 615], "orelse_fn": [118, 615], "body1": [119, 615], "body2": [119, 615], "test_fn": [120, 615, 761, 799, 849, 850], "repeatedli": [120, 615, 628, 714, 813, 829], "ml_framework": [121, 616], "distanc": [121, 616], "adjac": [121, 616], "nestedsequ": [122, 123, 616], "typevar": [122, 123, 616], "supportsbufferprotocol": [122, 123, 616], "static_copy_arrai": [124, 616], "intdtyp": [127, 138, 144, 156, 167, 172, 179, 185, 616, 617], "pycapsul": [128, 139, 616], "interchang": [128, 139, 616, 626, 698], "plu": [129, 616], "x00b": [129, 616], "x00d": [129, 616], "x00e": [129, 616], "66666663": [132, 616], "41588834": [133, 616], "7827941": [133, 616], "6227766": [133, 616], "23413252": [133, 616], "n3": [134, 616], "xv": [134, 616], "yv": [134, 616], "x_nativ": [135, 616, 825], "y_nativ": [135, 616], "z_nativ": [135, 616], "d_type": [137, 616], "col": [142, 322, 362, 616], "primari": [142, 161, 162, 194, 195, 322, 362, 378, 503, 538, 539, 616, 617, 618, 621, 764, 766, 804, 807, 810, 814, 823, 825, 826, 828, 829, 832, 840, 842], "upward": [142, 322, 362, 616], "downward": [142, 322, 362, 616], "2xn": [142, 322, 362, 616], "subarrai": [142, 322, 362, 616], "incompat": [149, 617], "closest": [152, 231, 241, 242, 278, 288, 617, 619, 829, 832], "xtype": [152, 617], "ytype": [152, 617], "native_uint16": [152, 617], "complexdtyp": [153, 167, 176, 617], "set_default_complex_dtyp": [153, 182, 617], "4294": [153, 155, 617], "967346": [153, 155, 617], "set_default_dtyp": [154, 183, 617, 814, 822], "floatdtyp": [155, 178, 617], "set_default_float_dtyp": [155, 164, 176, 184, 617, 814], "int_dtyp": [156, 179, 617], "set_default_int_dtyp": [156, 164, 185, 617, 814], "4294967346": [156, 157, 617], "uint_dtyp": [157, 180, 617], "uint": [157, 172, 180, 186, 617, 814, 827], "uintdtyp": [157, 172, 180, 186, 617], "set_default_uint_dtyp": [157, 164, 186, 617], "native_bool": [159, 617], "ieee": [160, 218, 235, 240, 258, 268, 277, 282, 285, 614, 617, 619, 845], "754": [160, 218, 235, 240, 258, 268, 277, 282, 285, 614, 617, 619, 845], "smallest_norm": [160, 617], "bfloat16": [161, 617, 763, 764, 814, 826, 829, 830], "unsupport": [162, 195, 539, 617, 618, 621, 758, 761, 802, 805, 819, 826], "encapsul": [163, 617, 813], "314": [163, 275, 332, 365, 617, 619], "9223372036854775808": [163, 617], "9223372036854775807": [163, 617], "65535": [163, 617], "4294967295": [163, 617], "native_uint8": [165, 617], "hashabl": [169, 617], "type1": [173, 617], "type2": [173, 617], "array_api_promot": [173, 174, 617, 763, 764], "unexpect": [174, 242, 617, 619, 814], "default_complex_dtyp": [176, 617], "default_dtype_stack": [177, 183, 617], "unset_default_dtyp": [177, 617], "native_uint64": [177, 617], "default_float_dtyp": [178, 617, 814], "default_int_dtyp": [179, 185, 617, 814], "default_uint_dtyp": [180, 186, 617], "ret1": [181, 617], "ret2": [181, 617], "reset": [182, 183, 184, 185, 186, 212, 213, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 617, 618, 621, 815], "default_complex_dtype_stack": [182, 617], "default_float_dtype_stack": [184, 617], "native_float16": [187, 617], "unmodifi": [189, 618, 810, 814], "aliv": [196, 201, 203, 542, 562, 563, 618, 621, 815], "139740789224448": [196, 618], "physic": [199, 618], "process_specif": [202, 214, 618], "percentag": [202, 618], "ram": [202, 210, 214, 618], "alon": [202, 214, 618, 799, 820, 829], "036902561555": [202, 618], "7024003467681645": [202, 618], "as_native_dev": [202, 618], "7095597456708771": [202, 618], "attr_onli": [203, 618], "soft_device_mod": [205, 213, 618], "chunk": [206, 207, 208, 618], "split_factor": [206, 618, 818], "max_chunk_s": [208, 618], "chunk_siz": [208, 618], "input_ax": [208, 618], "output_ax": [208, 618], "usag": [208, 618, 814, 822, 825, 829, 834, 840, 845, 858], "fed": [208, 618, 838], "fist": [208, 618], "gb": [210, 214, 618, 805, 819], "66700032": [210, 618], "589934592": [210, 618], "219563008": [214, 618], "902400346": [214, 618], "525205504": [214, 618], "na": [215, 619, 829], "noqa": [215, 282, 619, 779, 788, 827], "princip": [216, 220, 222, 352, 365, 619], "domain": [216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 256, 257, 259, 280, 281, 282, 285, 286, 352, 365, 619, 817, 853, 855], "codomain": [216, 217, 220, 221, 222, 223, 232, 233, 238, 240, 256, 257, 259, 280, 281, 282, 285, 286, 352, 365, 619, 817], "\u03c0": [216, 220, 222, 223, 614, 619], "3\u03c0": [216, 223, 619], "unspecifi": [216, 217, 221, 224, 233, 238, 240, 242, 277, 281, 282, 286, 369, 421, 619, 624, 626, 658, 659, 697, 825], "\u03c0j": [217, 221, 224, 256, 258, 619], "3\u03c0j": [217, 256, 258, 619], "x1_i": [218, 223, 225, 227, 228, 229, 230, 235, 236, 242, 246, 247, 254, 255, 260, 262, 264, 265, 268, 271, 273, 277, 284, 619, 808], "2019": [218, 235, 240, 258, 268, 619, 855, 858], "overflow": [218, 235, 242, 619, 624, 634, 672, 752, 803, 814], "commut": [218, 619], "tabl": [218, 235, 268, 573, 595, 619, 621, 763, 764, 779, 826, 831, 855], "dj": [218, 235, 268, 619], "bj": [218, 235, 268, 332, 365, 619], "z1": [218, 619], "z2": [218, 619], "yj": [219, 619], "nanj": [221, 619], "809": [221, 619], "569": [221, 619], "733": [221, 619], "notat": [223, 619, 634, 746, 813], "denot": [223, 619, 781], "quadrant": [223, 619], "rai": [223, 619, 845], "bitwis": [225, 228, 230, 265, 619], "170": [229, 619], "243": [229, 619], "xor": [230, 265, 619], "654": [232, 619], "ci": [233, 238, 240, 281, 619, 808, 814, 820, 827, 829, 840], "368": [233, 619], "670": [233, 619], "202": [233, 619, 808], "548": [233, 619], "1490": [233, 619], "57079633": [234, 619], "14159265": [234, 619], "71238898": [234, 619], "28318531": [234, 619], "02617994": [234, 619], "87266463": [234, 619], "01919862": [234, 619], "03839725": [234, 619], "05759586": [234, 619], "07679449": [234, 619], "09599311": [234, 619], "11519173": [234, 619], "35081118": [234, 619], "88139129": [234, 619], "underflow": [235, 242, 619, 624, 672, 814], "textbook": [235, 268, 619], "frac": [235, 257, 259, 279, 281, 285, 368, 374, 395, 396, 400, 401, 489, 491, 619], "ac": [235, 268, 619, 792, 793], "bd": [235, 268, 619], "bc": [235, 268, 619, 792, 793], "versu": [235, 268, 619], "riemann": [235, 268, 619], "sphere": [235, 268, 619], "c99": [235, 268, 619], "infinit": [235, 268, 282, 619], "unlik": [235, 268, 619, 808, 813, 816, 845, 860, 862], "698": [235, 619], "truth": [236, 246, 247, 254, 255, 271, 370, 442, 619, 758, 760, 771, 802, 819, 826, 829], "32862675": [237, 619], "67780113": [237, 619], "11246294": [237, 619], "42839241": [237, 619], "52050018": [237, 619], "16799599": [237, 619], "30787992": [237, 619], "43796915": [237, 619], "98667163": [237, 619], "79690808": [237, 619], "88020504": [237, 619], "91031402": [237, 619], "95228523": [237, 619], "96610528": [237, 619], "cut": [238, 240, 280, 281, 282, 285, 619, 804, 844, 861], "08553692": [238, 619], "567": [238, 619], "00344786": [238, 619], "76297021": [238, 619], "197948": [238, 619], "53253174": [238, 619], "accur": [240, 258, 619, 624, 672, 823], "fdlibm": [240, 258, 619], "compliant": [240, 258, 263, 264, 329, 330, 365, 619, 634, 747, 748, 749, 751], "potenti": [240, 258, 619, 799, 804, 805, 813, 814, 826, 833, 858], "632": [240, 619], "20e": [240, 619], "72e": [240, 619, 763], "greatest": [241, 242, 245, 619], "pep": [242, 619, 821], "disambigu": [242, 619, 824], "former": [242, 619, 805, 814, 817, 826], "latter": [242, 619, 805, 808, 810, 814, 817, 826], "overload": [242, 619, 829], "led": [242, 619, 808, 857], "subtl": [242, 619, 814, 861], "bug": [242, 619, 799, 804, 806, 811, 819, 820, 826, 829, 841], "ambigu": [242, 619], "semant": [242, 277, 371, 481, 619, 814, 834, 839, 844, 856], "ill": [242, 619, 765], "surpris": [242, 619, 840], "arrau": [248, 619], "log_": [257, 259, 619], "742": [258, 619], "negat": [270, 332, 365, 619], "52095687": [273, 619], "92457771": [273, 619], "49372482": [273, 619], "22738838": [273, 619], "156": [273, 619, 763], "5877228": [273, 619], "189": [274, 619, 628, 705], "252": [274, 619], "378": [274, 619], "1150": [274, 619], "2890": [274, 619], "172": [274, 619], "487": [274, 619, 623, 647], "344": [274, 619], "355j": [275, 332, 365, 619], "55j": [275, 332, 365, 619], "primarili": [277, 619, 804, 812, 855], "reason": [277, 286, 619, 804, 806, 808, 809, 812, 813, 814, 816, 822, 825, 826, 829, 830, 832, 834, 836, 845, 861], "counterpart": [278, 619, 812, 823], "deliber": [278, 619, 832], "imprecis": [278, 619], "5654": [278, 619], "034": [278, 619], "433": [278, 605, 607, 619, 622], "signum": [279, 619], "operatornam": [279, 281, 619, 624, 659], "textrm": [279, 619], "932": [280, 619], "746": [280, 619], "657": [280, 529, 619, 621], "indistinguish": [282, 619], "convent": [282, 619, 624, 634, 664, 746, 806, 810, 821, 830, 844, 861], "infti": [282, 619], "32455532": [282, 619], "89897949": [282, 619], "169": [282, 619], "analyt": [285, 619, 855, 857, 861], "pole": [285, 619], "546": [285, 619, 623, 647], "916": [285, 619, 625, 683], "996": [285, 619], "histor": [286, 619], "stem": [286, 619, 825], "older": [286, 619], "advis": [286, 619, 826], "462": [286, 619], "604": [286, 619], "984": [286, 619], "997": [286, 619], "0375": [288, 619], "032": [288, 619], "57258511": [291, 360], "69999999": [291, 360, 612, 622], "90928203": [291, 360], "98772264": [291, 360], "99591321": [291, 360], "99863964": [291, 360], "69880581": [291, 360], "18126924": [291, 360], "79999995": [292, 301, 304, 360], "70000005": [292, 304, 360], "hardtanhx": [293, 360], "20141329": [295, 360], "40318608": [295, 360], "48683619": [295, 360], "46328247": [295, 360], "59813893": [295, 360], "43748799": [295, 360], "parametr": [296, 360, 808, 829, 855], "71589994": [298, 302, 360], "14324772": [298, 302, 360], "70648694": [298, 302, 360], "54488957": [298, 302, 360], "10740992": [298, 302, 360], "19514863": [298, 302, 360], "6705687": [299, 360], "52016652": [299, 360], "40560818": [299, 360], "45630932": [299, 360], "2689": [300, 360], "7310": [300, 360], "7615": [300, 360], "2784": [300, 360], "7168": [300, 360], "8708": [300, 360], "4374": [300, 360], "1379": [300, 360], "0089": [300, 360], "59999991": [301, 360], "03597236": [303, 360], "43827677": [303, 360], "80100036": [303, 360], "12954807": [303, 360], "76459098": [303, 360], "20044947": [303, 360], "60000372": [303, 360], "taper": [306, 309, 362], "summat": [306, 362, 634, 746, 792, 793], "leakag": [306, 362], "wors": [306, 362, 845], "y1": [307, 362], "0800": [308, 362], "3979": [308, 362], "9121": [308, 362], "5400": [308, 362], "han": [309, 362], "ith": [310, 362], "00726415": [311, 362], "9999736": [311, 362], "2773e": [312, 362], "0172e": [312, 362], "9294e": [312, 362], "4149": [312, 362], "9138": [312, 362], "5529": [312, 362], "multidimension": [314, 315, 362, 855], "normalise_factor": [317, 318, 362], "parafac2": [318, 362], "tr": [319, 362], "context": [319, 362, 561, 621, 804, 805, 806, 810, 814, 815, 816], "38268346": [327, 362], "38268352": [327, 362], "8563191": [327, 362], "14943568": [327, 362], "paddlepaddl": [329, 330, 365, 805], "cn": [329, 330, 365], "zh": [329, 330, 365], "amax_cn": [329, 365], "sentinel": [329, 330, 365, 634, 747, 749], "amin_cn": [330, 365], "position": [339, 365], "triangl": [343, 365], "999999e": [344, 365], "65999985": [346, 365], "52000046": [346, 365], "1500001": [346, 365, 534, 621], "11259177": [347, 365], "3574118": [347, 365], "20097363": [347, 365], "suppli": [351, 365, 371, 473, 792, 809, 811, 829], "217234": [352, 365], "hurwitz": [355, 365], "custom_grad_func": [357, 367], "bind": [357, 367, 804, 824, 854, 855], "upstream": [357, 367, 805, 806, 808, 819, 824], "primal": [358, 359, 367], "jacobian": [358, 359, 367, 607, 622, 840, 855], "cotang": [359, 367], "stanh": 360, "ndenumer": 362, "ndindex": 362, "random_cp": 362, "random_parafac2": 362, "random_tr": 362, "random_tt": 362, "random_tuck": 362, "bind_custom_gradient_funct": [367, 824], "jvp": 367, "vjp": 367, "area_interpol": 368, "01823380e": [368, 389, 399], "15385818e": [368, 389, 399], "36371466e": [368, 389, 399], "38763905e": [368, 389, 399], "60722279e": [368, 389, 399], "80319249e": [368, 389, 399], "05617893e": [368, 389, 399], "21500000e": [368, 389, 399], "24000015e": [368, 389, 399], "90734863e": [368, 389, 399], "10000420e": [368, 389, 399], "15899994e": [368, 389, 399], "24000053e": [368, 389, 399], "81469727e": [368, 389, 399], "09999847e": [368, 389, 399], "4135742": [368, 389, 399], "6779785": [368, 389, 399], "3770599": [368, 389, 399], "8719864": [368, 389, 399], "72109985": [368, 389, 399], "52869415": [368, 389, 399], "79182434": [368, 389, 399], "72489166": [368, 389, 399], "container_n": [368, 389, 399], "container_typ": [368, 389, 399, 621], "container_norm": [368, 389, 399], "1580677": [368, 389], "89422607": [368, 389], "86190414": [368, 389], "00041008": [368, 389], "75149155": [368, 389], "97056389": [368, 389], "87819386": [368, 389], "89381361": [368, 389], "50000000e": [368, 389, 399, 763], "22044605e": [368, 389, 399], "ed": [368, 391, 392, 393], "rest": [368, 371, 391, 392, 393, 459, 805, 811, 813, 829, 839, 857], "5d": [368, 393, 779], "emb": [368, 394], "51285338": [368, 394], "87183261": [368, 394], "2308116": [368, 394], "02733949e": [368, 395], "00j": [368, 395], "49660576e": [368, 395], "68178638e": [368, 395], "01j": [368, 395, 400], "98912367e": [368, 395], "21802426e": [368, 395, 400], "04549134e": [368, 395, 400], "82842712e": [368, 395, 400], "86902654e": [368, 395, 400], "25501143e": [368, 395, 400], "32978028e": [368, 395, 400], "52068201e": [368, 395, 400], "71158374e": [368, 395, 400], "generate_einsum_equ": 368, "get_interpolate_kernel": 368, "27279224e": [368, 399], "44232273e": [368, 399], "70464332e": [368, 399], "73454881e": [368, 399], "00902849e": [368, 399], "10039906e": [368, 399], "07022366e": [368, 399], "69506073": [368, 399], "93914604": [368, 399], "88008881": [368, 399], "18951607": [368, 399], "57439613": [368, 399], "15318303e": [368, 400], "15148591e": [368, 400], "19j": [368, 400], "25000000e": [368, 400], "35378602e": [368, 400], "02j": [368, 400], "65404249e": [368, 400], "17611649e": [368, 400], "24320230e": [368, 400], "79344813e": [368, 400], "22374531e": [368, 400], "45929364e": [368, 400], "14208718e": [368, 400], "07177031e": [368, 400], "indexerror": [368, 401, 412, 626, 689, 794, 818], "interp": [368, 832], "xp": [368, 402, 808], "fp": [368, 402], "nd": [368, 403], "tf_bicub": [368, 403, 832], "nearest_interpol": 368, "window_shap": [368, 409], "pool_typ": [368, 409], "irfft": [368, 411], "silent": [368, 411], "discard": [368, 411, 813], "639999": [368, 411], "516063j": [368, 411], "3999999": [368, 411], "3999996": [368, 411], "99038106j": [368, 412], "33012702": [368, 412], "23205081j": [368, 412], "33012702j": [368, 412], "superdiagon": [369, 419, 624, 656], "subdiagon": [369, 419, 624, 656], "eigendecomposit": [369, 421, 624, 658, 659], "qlq\u1d40": [369, 421, 624, 658, 659], "tridiagon": [369, 422], "38196602": [369, 422], "61803389": [369, 422], "35048741": [369, 422], "56710052": [369, 422], "06693714": [369, 422], "74234426": [369, 422], "56155282": [369, 422], "56155276": [369, 422], "82842714": [369, 422], "82842731": [369, 422, 624, 659], "necessarili": [369, 423, 809, 812], "generalis": [369, 424], "skip_matrix": [369, 427, 429], "khatri_rao_product": [369, 427], "kronecker_product": [369, 429], "n_column": [369, 429], "nnmf": [369, 430], "hoi": [369, 435, 441], "solve_triangular": 369, "unit_diagon": [369, 436], "solut": [369, 436, 624, 673, 763, 799, 802, 804, 805, 806, 812, 814, 819, 827, 829, 832, 853, 857], "determinist": [369, 437], "borrow": [369, 437, 807], "extmath": [369, 437], "ivan": [369, 438], "oseledet": [369, 438], "scientif": [369, 438, 855], "2295": [369, 438], "2317": [369, 438], "2011": [369, 438], "convention": [370, 443, 858], "issu": [370, 443, 778, 800, 801, 802, 803, 805, 808, 810, 811, 813, 814, 815, 816, 818, 819, 826, 829, 830, 832, 834, 838, 840, 846, 848], "explicit": [370, 371, 443, 481, 805, 812, 814, 824, 825, 826, 834, 840, 855], "555969": [370, 443], "223876": [370, 443], "111938": [370, 443], "42649534": [370, 443], "68651628": [370, 443], "51119184": [370, 443], "59967244": [370, 443], "mae": [370, 444], "91097307": [370, 446], "3467": [370, 447], "0133": [370, 447], "0250": [370, 447], "0056": [370, 447], "0025": [370, 447], "0675": [370, 447], "hing": [370, 448], "6987": [370, 448], "1606": [370, 448], "3711": [370, 448], "4032": [370, 448], "6931": [370, 448], "whilst": [371, 451, 452, 453, 839, 842, 855], "ary3": [371, 453], "check_scalar": 371, "force_integ": [371, 455], "force_posit": [371, 455], "mod": [371, 456, 808], "tall": [371, 462], "appear": [371, 464, 465, 601, 621, 805, 806, 808, 826, 832, 848], "horizot": [371, 469], "shortcut": [371, 473, 805], "linear_ramp": [371, 473], "reflect": [371, 473, 806, 809, 825, 829], "ramp": [371, 473], "mirror": [371, 473, 804, 855], "padding_func": [371, 473], "iaxis_pad_width": [371, 473], "iaxi": [371, 473], "unalt": [371, 473], "put": [371, 478, 799, 804, 829, 840, 861], "mul": [371, 478, 825, 836], "conceptu": [371, 481, 851, 856], "concern": [371, 481, 806, 807, 812, 814, 816, 825, 832, 833, 861], "regard": [371, 481, 803, 812, 826, 827, 832, 845], "mutat": [371, 481], "elimin": [371, 486, 805], "consecut": [371, 486], "batch_mean": [374, 489, 491], "batch_var": [374, 489, 491], "running_vari": [374, 489, 491], "local_response_norm": 374, "neighbour": [374, 494], "42857143": [374, 495], "5714286": [374, 495], "multivari": [375, 498], "bayesian": [375, 498], "supposedli": [378, 502], "indirect": [378, 503], "secondari": [378, 503], "is_ivy_sparse_arrai": 379, "is_native_sparse_arrai": 379, "native_sparse_arrai": 379, "coo_indic": [379, 506], "crow_indic": [379, 506], "col_indic": [379, 506], "ccol_indic": [379, 506], "row_indic": [379, 506], "dense_shap": [379, 506], "native_sparse_array_to_indices_values_and_shap": 379, "nativesparsearrai": 379, "sparsearrai": 379, "linalg": [380, 510, 624, 672, 673, 804, 825, 827], "aw": [380, 510, 845], "48447205": [380, 510], "c0": [380, 513], "ck": [380, 513], "c2": [380, 513], "nearest_jax": [380, 520], "trace_on_next_step": [524, 621, 783, 838], "recalcul": [527, 621], "my_sum": [527, 621], "val1": [527, 621], "val2": [527, 621], "cached_sum": [527, 621], "line_eq": [527, 621], "slp": [527, 621], "itc": [527, 621], "cached_line_eq": [527, 621], "0353": [528, 621], "424": [528, 621], "176": [528, 621], "339": [528, 621], "271": [528, 621], "391": [528, 621], "417": [529, 621], "583": [529, 621], "0667": [529, 621], "267": [529, 621], "131": [529, 621], "263": [529, 621], "394": [529, 621, 630, 730], "526": [529, 621], "788": [529, 621], "default_str": [532, 621], "46999979": [533, 621], "66000009": [533, 621], "93000001": [533, 621], "29000092": [533, 621], "33999991": [533, 621], "6400001": [533, 621], "96000004": [533, 621], "36000013": [533, 621], "51999998": [533, 621], "67000008": [533, 621], "suppos": [533, 621, 814, 829], "960": [533, 621], "3600": [533, 621], "h1": [533, 621], "w1": [533, 621], "40499985": [534, 621], "61000061": [534, 621], "max_depth": [545, 621], "seen_set": [545, 621], "local_set": [545, 621], "referr": [545, 621], "redund": [545, 621, 799, 814, 818, 826, 848], "example_funct": [545, 621], "ref_id_1": [545, 621], "ref_id_2": [545, 621], "ref_id_3": [545, 621], "ivyexcept": [550, 582, 621, 794, 815, 818, 823, 825, 826, 830], "allow_dupl": [560, 621], "fork": [561, 621, 800, 804, 808, 813, 819], "forkserv": [561, 621], "spawn": [561, 621], "mp_default": [561, 621], "defaultcontext": [561, 621], "0x7f4e3193e520": [561, 621], "mp_fork": [561, 621], "forkcontext": [561, 621], "0x7f4e3193e580": [561, 621], "mp_spawn": [561, 621], "spawncontext": [561, 621], "0x7f4e3193e5e0": [561, 621], "mp_forkserv": [561, 621], "forkservercontext": [561, 621], "0x7f4e3193e640": [561, 621], "garbag": [563, 621], "collector": [563, 621], "get_all_arrays_in_memori": [563, 621], "exception_trace_mod": [567, 590, 621, 831], "lenient": [568, 591, 621], "inplace_mod": [568, 591, 621], "break": [568, 621, 799, 810, 814, 821, 830, 840], "infus": [569, 621], "nestable_mod": [572, 594, 621, 831], "precise_mod": [573, 595, 621, 831], "shape_array_mod": [575, 597, 621, 831], "show_func_wrapper_trace_mod": [576, 598, 621, 831], "tmp_dr": [577, 621], "tmp_dir": [577, 599, 621, 831], "my_tmp": [577, 621], "49999999999975": [579, 621], "5015015015010504": [579, 621], "000444502911705e": [579, 621], "9999999999995j": [579, 621], "00000262": [580, 621], "15605032": [580, 621], "01208451j": [580, 621], "00048": [580, 621], "1296": [580, 621], "00864": [580, 621], "isn": [582, 621, 806, 823, 825, 837, 840, 857], "100000023841858": [584, 621], "200000047683716": [584, 621], "299999952316284": [584, 621], "400000095367432": [584, 621], "599999904632568": [584, 621], "hemant": [588, 621], "unset_shape_array_mod": [589, 621], "set_exception_trace_mod": [590, 621, 818], "set_min_bas": [592, 621], "set_min_denomin": [593, 621], "set_nestable_mod": [594, 621], "set_precise_mod": [595, 621], "set_queue_timeout": [596, 621], "set_shape_array_mod": [597, 621], "set_show_func_wrapper_trace_mod": [598, 621, 818], "set_tmp_dir": [599, 621], "my_dir": [599, 621], "451": [600, 621], "in_ax": [601, 621], "out_ax": [601, 621], "thereof": [601, 621], "summaris": [601, 621], "99999998": [602, 622], "19999998": [602, 622], "00000001": [602, 622], "00300001": [602, 622], "00800001": [602, 622], "0125": [602, 622], "17294501": [602, 622], "15770318": [602, 622], "20863818": [602, 622], "90000075": [603, 622], "90000164": [603, 622], "9000032": [603, 622], "50000012e": [603, 622], "92558754": [603, 622], "92558694": [603, 622], "92558682": [603, 622], "92558861": [603, 622], "60000025e": [603, 622], "01024": [603, 622], "retain_grad": [604, 622], "func_ret": [604, 622, 824], "666666": [604, 622], "333332": [604, 622], "66666675": [604, 612, 622], "argnum": [605, 622], "933": [605, 607, 622], "jac_fn": [607, 622], "639": [608, 622], "361": [608, 622], "52565837": [609, 622], "8418861": [609, 622], "68377209": [609, 622], "value_grad": [612, 622], "42333412": [612, 622], "5333333": [612, 622], "93333334": [612, 622], "43333334": [612, 622], "0666666": [612, 622], "softsign": 613, "718281828459045": 614, "euler": 614, "141592653589793": 614, "cmp_i": 615, "cmp_isnot": 615, "for_loop": 615, "if_els": 615, "try_except": 615, "to_dlpack": 616, "as_ivy_dtyp": [617, 826], "as_native_dtyp": 617, "check_float": 617, "closest_valid_dtyp": 617, "default_dtyp": [617, 814, 822], "dtype_bit": 617, "function_supported_dtyp": [617, 814, 829], "function_unsupported_dtyp": [617, 814], "infer_default_dtyp": 617, "invalid_dtyp": [617, 814], "is_hashable_dtyp": 617, "is_native_dtyp": 617, "promote_typ": [617, 814], "promote_types_of_input": [617, 814, 825], "type_promote_arrai": [617, 814], "unset_default_complex_dtyp": 617, "unset_default_float_dtyp": 617, "unset_default_int_dtyp": 617, "unset_default_uint_dtyp": 617, "valid_dtyp": 617, "defaultcomplexdtyp": 617, "defaultdtyp": 617, "defaultfloatdtyp": 617, "defaultintdtyp": 617, "defaultuintdtyp": 617, "as_ivy_dev": [618, 836], "clear_cached_mem_on_dev": 618, "dev_util": [618, 815], "function_supported_devic": 618, "function_unsupported_devic": 618, "get_all_ivy_arrays_on_dev": [618, 815], "handle_soft_device_vari": [618, 815], "num_cpu_cor": [618, 815], "num_gpu": [618, 815, 829], "num_ivy_arrays_on_dev": 618, "percent_used_mem_on_dev": 618, "print_all_ivy_arrays_on_dev": 618, "set_split_factor": [618, 818], "split_func_cal": 618, "total_mem_on_dev": [618, 815], "tpu_is_avail": 618, "unset_default_devic": [618, 815], "unset_soft_device_mod": [618, 815], "used_mem_on_dev": 618, "defaultdevic": [618, 815], "profil": 618, "save_dir": 618, "arg_info": 621, "arg_nam": 621, "cache_fn": [621, 822], "current_backend_str": [621, 829, 834, 836], "function_supported_devices_and_dtyp": 621, "function_unsupported_devices_and_dtyp": 621, "get_item": [621, 825], "get_referrers_recurs": 621, "inplace_arrays_support": 621, "inplace_variables_support": 621, "is_ivy_nested_arrai": 621, "isscalar": 621, "match_kwarg": 621, "num_arrays_in_memori": 621, "print_all_arrays_in_memori": 621, "set_item": 621, "to_ivy_shap": 621, "to_native_shap": 621, "try_else_non": 621, "unset_array_mod": [621, 831], "unset_exception_trace_mod": 621, "unset_inplace_mod": 621, "unset_min_bas": 621, "unset_min_denomin": 621, "unset_nestable_mod": 621, "unset_precise_mod": 621, "unset_queue_timeout": 621, "unset_show_func_wrapper_trace_mod": 621, "unset_tmp_dir": 621, "vmap": [621, 840, 855], "arraymod": 621, "precisemod": [621, 814], "jac": 622, "value_and_grad": [622, 824], "neural": [623, 775, 779, 799, 849, 851, 853, 854, 855, 859, 861, 862], "feature_group_count": [623, 636, 643, 644], "oiw": [623, 636, 637, 643], "oihw": [623, 636, 639, 643], "oidhw": [623, 636, 641, 643], "dhwio": [623, 636, 637, 641, 643], "conv_general_dil": [623, 826], "conv_general_transpos": 623, "depthwis": [623, 645, 765, 779], "overfit": [623, 646], "overal": [623, 646, 793, 812, 814, 815, 817, 839, 848, 851, 853, 854, 855], "1428566": [623, 646], "49000001": [623, 646], "55599999": [623, 646], "21000004": [623, 646], "incom": [623, 647], "666": [623, 624, 647, 665], "4269": [623, 647], "911": [623, 647, 818], "157": [623, 647], "753": [623, 647], "545": [623, 630, 647, 728], "547": [623, 647, 815], "124": [623, 647], "963": [623, 647], "98495483": [623, 647], "0293808": [623, 647], "0159359": [623, 647], "74752808": [623, 647], "20942307": [623, 647], "3205719": [623, 647], "long": [623, 648, 805, 806, 813, 814, 816, 818, 819, 826, 834, 855], "lstm": [623, 648, 779, 834, 855], "batch_first": [623, 649], "multi": [623, 624, 649, 654, 765, 779, 816, 833, 840, 851, 853, 855, 859], "paper": [623, 649, 799, 846], "vaswani": [623, 649], "al": [623, 649], "num_attention_head": [623, 649], "key_dim": [623, 649, 779], "value_dim": [623, 649, 779], "measur": [623, 649, 779], "attention_weight": [623, 649], "unbatch": [623, 649], "nm": 623, "box": [623, 650, 651, 805], "iou_threshold": [623, 650], "max_output_s": [623, 650], "score_threshold": [623, 650], "roi_align": 623, "spatial_scal": [623, 651], "sampling_ratio": [623, 651], "23333359": [623, 652], "03946018": [623, 652], "0280633": [623, 652], "29981947": [623, 652], "29981089": [623, 652], "06345534": [623, 652], "9634552": [623, 652], "19336844": [623, 652], "09336829": [623, 652], "axisa": [624, 654], "axisb": [624, 654], "axisc": [624, 654], "293": [624, 655], "46997": [624, 655], "explicitli": [624, 659, 660, 676, 760, 779, 780, 781, 802, 808, 809, 810, 812, 814, 817, 818, 819, 822, 823, 824, 825, 827, 829, 834, 840, 849, 855], "17157288": [624, 659], "9238795": [624, 659], "78930789": [624, 659], "59803128": [624, 659], "19127655": [624, 659], "31213903": [624, 659], "63418275": [624, 659], "84632206": [624, 659], "70548367": [624, 659], "70223427": [624, 659], "09570674": [624, 659], "63116378": [624, 659], "56109613": [624, 659], "53554028": [624, 659], "32237405": [624, 659], "43822157": [624, 659], "83906901": [624, 659], "50766778": [624, 659], "71475857": [624, 659], "48103389": [624, 659], "3676433": [624, 659], "68466955": [624, 659], "62933773": [624, 659], "77917379": [624, 659], "14264561": [624, 659], "61036086": [624, 659], "45033181e": [624, 660], "02829754e": [624, 660], "54220343e": [624, 660], "12647155e": [624, 660], "38447177e": [624, 660], "56155300e": [624, 660], "26794919": [624, 660], "7320509": [624, 660], "0012": [624, 662], "00342": [624, 662], "000565": [624, 662], "0104": [624, 662], "000981": [624, 662], "00282": [624, 662], "000766": [624, 662], "0322": [624, 662], "00237": [624, 662], "000151": [624, 662], "00101": [624, 662], "00019": [624, 662], "0214": [624, 662], "00171": [624, 662], "0107": [624, 662], "0167": [624, 662], "0472": [624, 662], "0536": [624, 662], "0177": [624, 662], "000429": [624, 662], "00762": [624, 662], "lu_factor": 624, "pivot": [624, 663], "lu": [624, 663], "frobeniu": [624, 665], "nuclear": [624, 665], "induc": [624, 665], "ranl": [624, 665], "47722558": [624, 665], "776": [624, 665], "6000004": [624, 665], "118": [624, 666], "moor": [624, 670], "penros": [624, 670], "31622776": [624, 671], "94868332": [624, 671], "1622777": [624, 671], "42718887": [624, 671], "deteremin": [624, 672], "logsabsdet": [624, 672], "subject": [624, 672], "ordin": [624, 673], "b2": [624, 673], "usvh": [624, 674], "cetera": [624, 674], "driver": [624, 675, 840], "cusolv": [624, 675], "gesvd": [624, 675], "gesvdj": [624, 675], "gesvda": [624, 675], "86217213": [624, 675], "31816804": [624, 675], "615": [624, 675], "ss": [624, 675], "25994301": [624, 675], "16403675": [624, 675], "61529762": [624, 675], "51231241": [624, 675], "39777088": [624, 675], "15413129": [624, 675], "1029852": [624, 675], "01383495": [624, 675], "86647356": [624, 675], "7786541": [624, 675], "55970621": [624, 675], "16857576": [624, 675], "86412698": [624, 675], "37566757": [624, 675], "88477993": [624, 675], "95925522": [624, 675], "6444726": [624, 675], "54687881": [624, 675], "16134834": [624, 675], "35037804": [624, 675], "31025076": [624, 675], "35769391": [624, 675], "transposit": [624, 676], "success": [624, 634, 678, 750, 752, 805, 813, 845], "0x": [624, 679], "Such": [624, 679, 822, 829], "progress": [624, 679, 805, 806, 839], "alexandr": [624, 679], "theophil": [624, 679], "dot_product": [624, 680], "9000001": [624, 681], "64158917": [624, 681], "skew": [624, 682], "6666193": [625, 683], "67164493e": [625, 683], "05471958e": [625, 683], "32684899e": [625, 683], "30496836e": [625, 683], "05393649": [625, 683], "49992943": [625, 683], "83330965": [625, 683], "35667494": [625, 685], "79329094": [625, 685], "512926": [625, 685], "outsid": [626, 686, 697, 814, 815, 822, 836, 860], "honor": [626, 693], "beyond": [626, 694, 817, 826, 861], "famili": [626, 697], "intxx": [626, 697], "floatxx": [626, 697], "rep": [626, 699], "fomaml_step": 627, "inner_cost_fn": [627, 702, 703, 704], "outer_cost_fn": [627, 702, 703], "inner_grad_step": [627, 702, 703, 704], "inner_learning_r": [627, 702, 703, 704], "inner_optimization_step": [627, 702, 703, 704], "inner_batch_fn": [627, 702, 703], "outer_batch_fn": [627, 702, 703], "average_across_step": [627, 702, 703], "inner_v": [627, 702, 703], "keep_inner_v": [627, 702, 703], "outer_v": [627, 702, 703], "keep_outer_v": [627, 702, 703], "return_inner_v": [627, 702, 703, 704], "num_task": [627, 702, 703, 704], "maml": [627, 702, 703], "0x7f77ee536e60": [627, 702, 703, 704], "maml_step": 627, "vanilla": [627, 703, 838, 855], "_variabl": [627, 703, 704], "sub_batch": [627, 703], "40069818": [627, 703], "13723135": [627, 703], "reptile_step": 627, "cost_fn": [627, 704], "reptil": [627, 704], "batch_in": [627, 704], "4485182": [627, 704], "139": [627, 704], "9569855": [627, 704], "9880483": [627, 704], "01766968": [627, 704], "02197957": [627, 704], "02197981": [627, 704], "all_nested_indic": 628, "include_nest": [628, 705], "_index": [628, 705, 716], "_base": [628, 705, 715, 716, 825], "themselv": [628, 705, 804, 812, 814, 815, 817, 822, 826, 838, 852, 861], "863": [628, 705, 815], "672": [628, 705], "482": [628, 705], "674": [628, 705], "341": [628, 705], "copy_nest": 628, "to_mut": [628, 706, 717], "deepli": [628, 706, 840, 855], "copied_nest": [628, 706], "1337": [628, 706, 717], "duplicate_array_index_chain": 628, "index_nest": [628, 822], "insert_into_nest_at_index": 628, "insert_into_nest_at_indic": 628, "onto": [628, 711, 717, 843, 844, 855], "special_squar": [628, 711], "6666666666666667": [628, 711], "special_pow": [628, 711], "linear_model": [628, 711], "map_nest_at_index": 628, "_result": [628, 712, 722], "hh": [628, 712, 717], "map_nest_at_indic": 628, "ub": [628, 713], "tb": [628, 713], "multi_index_nest": 628, "nested_ani": 628, "check_nest": [628, 715, 716], "nested_argwher": 628, "stop_after_n_found": [628, 716], "nested_indic": [628, 716], "nested_map": [628, 815, 822], "_tuple_check_fn": [628, 717], "_list_check_fn": [628, 717], "_dict_check_fn": [628, 717], "wherebi": [628, 717, 804, 852], "ah": [628, 717], "bh": [628, 717], "ch": [628, 717], "dh": [628, 717, 808], "eh": [628, 717], "gh": [628, 717, 805, 819], "ih": [628, 717], "1338": [628, 717], "nested_multi_map": 628, "index_chain": [628, 718], "nest0": [628, 718], "ivy_arrai": [628, 718, 809, 826], "unappli": [628, 718], "prune_empti": 628, "prune_nest_at_index": 628, "prune_nest_at_indic": 628, "set_nest_at_index": 628, "set_nest_at_indic": 628, "xyz": [628, 723], "pqr": [628, 723], "mini": [629, 724, 779, 782], "uniformli": [630, 726, 728], "22346112": [630, 727], "0922": [630, 727], "9213753": [630, 727], "12818667": [630, 727], "799": [630, 727], "469": [630, 727], "287": [630, 727], "0366": [630, 727], "26431865": [630, 728], "475": [630, 728], "878": [630, 728], "861": [630, 728], "929": [630, 728], "789": [630, 728], "519": [630, 728], "0435": [630, 728], "381": [630, 728], "4608004": [630, 728], "8458502": [630, 728], "67270088": [630, 728], "31128597": [630, 728], "zeroel": [631, 734], "guarante": [632, 736, 738, 809, 814, 825, 840, 846], "aggreg": [632, 736, 813], "fourth": [632, 736], "1141": [632, 736], "8101": [632, 736], "9298": [632, 736], "8460": [632, 736], "2119": [632, 736], "3519": [632, 736], "6252": [632, 736], "4033": [632, 736], "7443": [632, 736], "2577": [632, 736], "3707": [632, 736], "0545": [632, 736], "3238": [632, 736], "5944": [632, 736], "0775": [632, 736], "4327": [632, 736], "62519997": [632, 736], "40329999": [632, 736], "59439999": [632, 736], "74430001": [632, 736], "81010002": [632, 736], "84600002": [632, 736], "92979997": [632, 736], "einstein": [634, 746, 792], "117": [634, 746], "intend": [634, 752, 761, 778, 808, 821, 824, 853, 855, 859, 860], "07472222": [634, 753], "00666667": [634, 753], "08966666": [634, 753], "simplicit": [635, 754, 755], "ivy_test": [758, 760, 761, 763, 764, 765, 766, 767, 768, 769, 770, 771, 804, 805, 806, 808, 811, 813, 819, 827], "test_ivi": [758, 760, 761, 763, 764, 765, 766, 767, 768, 769, 770, 771, 804, 805, 806, 811, 813, 819, 827, 829], "assert_all_clos": [758, 827], "ret_np": [758, 760, 827], "ret_from_gt_np": [758, 827], "ground_truth_backend": [758, 760, 761, 770, 771, 802, 819, 827], "mark": [758, 804, 806, 808, 829, 834], "assert_same_typ": 758, "ret_from_target": 758, "ret_from_gt": 758, "backend_to_test": [758, 760, 802, 819, 827], "gt_backend": 758, "with_backend": [758, 788], "assert_same_type_and_shap": 758, "this_key_chain": 758, "check_unsupported_devic": 758, "input_devic": 758, "all_as_kwargs_np": [758, 760], "presenc": [758, 812, 825], "check_unsupported_device_and_dtyp": 758, "input_dtyp": [758, 760, 770, 802, 819, 827, 829], "check_unsupported_dtyp": 758, "test_unsupported_funct": 758, "value_test": 758, "ret_np_flat": 758, "ret_np_from_gt_flat": 758, "specific_tolerance_dict": 758, "ret_from_np_gt_flat": 758, "function_test": 760, "args_to_contain": 760, "array_arg": [760, 822], "args_to_frontend": 760, "frontend_array_fn": 760, "arrays_to_frontend": 760, "as_list": 760, "convtru": 760, "nativeclass": 760, "counter": [760, 838], "create_args_kwarg": 760, "args_np": 760, "arg_np_val": 760, "args_idx": 760, "kwargs_np": 760, "kwarg_np_val": 760, "kwargs_idx": 760, "test_flag": [760, 802, 819, 827, 829], "on_devic": [760, 770, 802, 819, 827], "flatten_and_to_np": 760, "flatten_frontend": 760, "flatten_frontend_fw_to_np": 760, "frontend_ret": [760, 827], "isscalar_func": 760, "is_native_array_func": 760, "to_numpy_func": 760, "flatten_frontend_to_np": 760, "get_frontend_ret": 760, "frontend_fn": 760, "frontend_array_funct": 760, "precision_mod": [760, 770, 771, 819], "test_trac": [760, 770, 771, 802, 808, 819], "get_ret_and_flattened_np_arrai": 760, "gradient_incompatible_funct": 760, "gradient_test": [760, 829], "rtol_": [760, 802, 819], "atol_": [760, 802, 819, 827], "tolerance_dict": 760, "gradient_unsupported_dtyp": 760, "kwargs_to_args_n_kwarg": 760, "num_positional_arg": [760, 770, 771, 802, 819, 827, 829], "port": [760, 846], "test_frontend_funct": [760, 827], "fn_tree": [760, 761, 771, 802, 819, 826, 827, 829], "gt_fn_tree": [760, 771], "test_valu": [760, 827, 829], "frontend_function_flag": [760, 770], "functiontestflag": [760, 770, 802, 819], "with_out": [760, 770, 802, 819, 827, 829], "instance_method": [760, 770, 802, 819, 829], "as_vari": [760, 770, 802, 819, 827, 829], "namespac": [760, 804, 814, 823, 826, 827, 830, 834, 839], "test_frontend_method": [760, 827], "init_input_dtyp": [760, 827], "method_input_dtyp": [760, 827], "init_flag": [760, 827, 829], "method_flag": [760, 770, 827, 829], "init_all_as_kwargs_np": [760, 827], "method_all_as_kwargs_np": [760, 827], "frontend_method_data": [760, 827], "init_as_variable_flag": [760, 771], "dictat": [760, 809, 816, 821, 825], "init_num_positional_arg": [760, 771], "init_native_array_flag": 760, "with_v": 760, "ret_gt": 760, "test_funct": [760, 802, 805, 806, 813, 819, 827, 829], "fn_name": [760, 761, 771, 802, 810, 819, 827, 829], "return_flat_np_arrai": 760, "as_variable_flag": [760, 771, 829], "native_array_flag": [760, 771, 829], "container_flag": [760, 770, 771, 829], "test_function_backend_comput": 760, "test_function_ground_truth_comput": 760, "arg_np_arrai": 760, "arrays_args_indic": 760, "arrays_kwargs_indic": 760, "kwarg_np_arrai": 760, "test_gradient_backend_comput": 760, "test_gradient_ground_truth_comput": 760, "test_method": 760, "method_nam": [760, 769, 771, 827], "init_with_v": 760, "method_with_v": 760, "test_gradi": [760, 770, 771, 802, 819, 829], "method_as_variable_flag": [760, 771], "method_num_positional_arg": [760, 771], "method_native_array_flag": 760, "method_container_flag": [760, 771], "test_method_backend_comput": 760, "test_method_ground_truth_comput": 760, "org_con_data": 760, "args_np_method": 760, "met_arg_np_v": 760, "met_args_idx": 760, "kwargs_np_method": 760, "met_kwarg_np_v": 760, "met_kwargs_idx": 760, "v_np": 760, "traced_if_requir": 760, "wrap_frontend_function_arg": 760, "holder": 761, "current_frontend_config": 761, "0x7f77e1a8dcf0": 761, "interruptedtest": 761, "test_interrupt": 761, "baseexcept": 761, "tri": [761, 814], "testdata": 761, "supported_device_dtyp": 761, "is_method": 761, "setup_api_test": 761, "test_data": 761, "setup_frontend_test": 761, "teardown_api_test": 761, "teardown_frontend_test": 761, "hypothesis_help": [763, 764, 765, 766], "array_help": 763, "array_and_broadcastable_shap": 763, "searchstrategi": [763, 764, 765, 766, 770, 771, 829], "array_bool": [763, 829], "min_valu": [763, 764, 765, 766, 802, 819, 827, 829], "max_valu": [763, 764, 765, 766, 827, 829], "ex": [763, 764, 765, 766, 771, 813, 849], "strategi": [763, 764, 765, 766, 770, 771, 804, 827], "array_helpers_dtype_info_help": 763, "kind_dtyp": [763, 765], "array_indices_axi": 763, "array_dtyp": [763, 764, 829], "indices_dtyp": 763, "get_dtyp": [763, 764, 802, 819, 827, 829], "disable_random_axi": 763, "axis_zero": 763, "allow_inf": [763, 766, 827, 829], "min_num_dim": [763, 765, 827, 829], "max_num_dim": [763, 765, 827, 829], "min_dim_s": [763, 765, 827, 829], "max_dim_s": [763, 765, 827], "first_dimension_onli": 763, "indices_same_dim": 763, "valid_bound": 763, "hypothesi": [763, 765, 771, 804, 806, 808, 813, 823], "65536": 763, "44758124e": [763, 829], "array_indices_put_along_axi": 763, "values_dtyp": 763, "array_valu": [763, 829], "abs_smallest_v": [763, 765, 766], "allow_nan": [763, 766, 829], "allow_subnorm": [763, 766, 829], "exclude_min": [763, 766, 829], "exclude_max": [763, 766], "large_abs_safety_factor": [763, 765, 766, 802, 819, 827, 829], "small_abs_safety_factor": [763, 765, 766, 802, 819, 827], "safety_factor_scal": [763, 765, 766, 827, 829], "subnorm": [763, 766], "safeti": [763, 765, 766, 855], "0002": [763, 766], "get_shap": [763, 765, 827, 829], "1806": 763, "36912": 763, "6955": 763, "59576": 763, "1025": 763, "arrays_and_ax": 763, "available_dtyp": [763, 764, 802, 819, 827, 829], "allow_non": [763, 765, 827, 829], "return_dtyp": 763, "force_int_axi": 763, "26e": 763, "10e": 763, "24322108": 763, "26446279e": 763, "96046448e": 763, "008": 763, "17549435e": 763, "038": 763, "06541027e": 763, "13725760e": 763, "07143888": 763, "arrays_for_pool": 763, "min_dim": 763, "max_dim": 763, "min_sid": 763, "max_sid": 763, "explicit_or_str_pad": 763, "only_explicit_pad": 763, "return_dil": 763, "mixed_fn_compo": [763, 764, 765, 766, 829], "return_data_format": 763, "cond_data_gen_help": 763, "create_concatenable_arrays_dtyp": 763, "min_num_arrai": 763, "max_num_arrai": 763, "concat_dim": 763, "common_shap": [763, 829], "stackabl": 763, "given_common_shap": 763, "create_nested_input": 763, "leaf_valu": 763, "dtype_and_valu": [763, 802, 819, 827, 829], "num_arrai": [763, 764, 827, 829], "shared_dtyp": [763, 764, 827], "ret_shap": 763, "array_api_dtyp": [763, 764], "shape_kei": 763, "37915": 763, "6322": 763, "26765": 763, "12413": 763, "26986": 763, "34665": 763, "000e": 763, "711e": 763, "100e": 763, "955e": [763, 829], "40817": 763, "56193": 763, "29200": 763, "5851": 763, "9746": 763, "9604645e": 763, "103": 763, "41795": 763, "1170789994": 763, "44251": 763, "44209": 763, "433075925": 763, "24791": 763, "24691": 763, "24892": 763, "16711": 763, "972": 763, "15357": 763, "72057594037927936": 763, "dtype_array_queri": 763, "allow_mask": 763, "allow_neg_step": 763, "dtype_array_query_v": 763, "dtype_values_axi": [763, 829], "min_axi": 763, "max_axi": 763, "valid_axi": 763, "allow_neg_ax": 763, "min_axes_s": 763, "max_axes_s": 763, "force_tuple_axi": 763, "29788": 763, "62222885e": 763, "68281172e": 763, "257j": 763, "40129846e": 763, "90000000e": 763, "63426649e": 763, "91931887e": 763, "29488e": 763, "14361019e": 763, "12445": 763, "einsum_help": 763, "get_first_solve_batch_matrix": 763, "choose_adjoint": 763, "get_second_solve_batch_matrix": 763, "get_first_solve_matrix": 763, "allow_simplifi": 763, "choose_sid": 763, "xa": 763, "get_second_solve_matrix": 763, "list_of_s": 763, "sampled_from": [763, 827, 829], "min_siz": [763, 765, 771, 829], "max_siz": [763, 765, 771, 829], "size_bound": [763, 829], "999999999999999": 763, "9394938006792373": 763, "mutually_broadcastable_shap": 763, "num_shap": 763, "base_shap": 763, "dtype_help": 764, "univers": [764, 826, 844], "cast_filt": 764, "cast_filter_help": 764, "current_backend": [764, 788, 804, 810, 818, 822, 827, 830, 834], "get_castable_dtyp": 764, "castabl": 764, "prune_funct": 764, "intersect": [764, 813, 829], "signed_integ": 764, "real_and_complex": 764, "float_and_complex": 764, "general_help": 765, "broadcasterror": 765, "apply_safety_factor": 765, "embedding_help": 765, "general_helpers_dtype_info_help": 765, "get_axi": [765, 829], "allow_neg": 765, "sort_valu": 765, "force_tupl": 765, "force_int": 765, "assertionerror": [765, 802, 808, 818, 819, 827, 829], "get_bound": [765, 829], "get_mean_std": 765, "matrix_is_st": 765, "cond_limit": 765, "instabl": [765, 802, 814, 819], "computation": [765, 805], "prone": [765, 814], "thumb": 765, "gradual": 765, "strong": [765, 840, 845, 855], "collinear": 765, "reshape_shap": [765, 829], "two_broadcastable_shap": 765, "x_and_filt": 765, "number_help": 766, "arbitrarili": [766, 837], "safety_factor": 766, "backend_proc": 767, "input_queu": 767, "output_queu": 767, "frontend_proc": 767, "pipeline_help": 768, "backendhandl": 768, "update_backend": [768, 827], "backendhandlermod": 768, "enum": 768, "setbackend": 768, "withbackend": 768, "withbackendcontext": 768, "get_frontend_config": 768, "frontendmethoddata": 769, "ivy_init_modul": 769, "framework_init_modul": 769, "init_nam": 769, "test_parameter_flag": 770, "dynamicflag": [770, 771], "frontendfunctiontestflag": [770, 819], "with_copi": 770, "generate_frontend_arrai": [770, 771, 819], "testflag": 770, "apply_flag": 770, "args_to_iter": 770, "frontendinittestflag": 770, "frontendmethodtestflag": 770, "initmethodtestflag": 770, "methodtestflag": 770, "build_flag": 770, "frontend_init_flag": 770, "frontend_method_flag": 770, "function_flag": 770, "init_method_flag": 770, "testing_help": 771, "handle_frontend_method": [771, 827, 829], "class_tre": [771, 827], "init_tre": [771, 827], "init_native_arrai": 771, "_as_varaible_strategi": 771, "method_native_arrai": 771, "test_inplac": [771, 829], "_given_kwarg": 771, "test_compil": 771, "handle_frontend_test": [771, 827, 829], "alias": [771, 804, 826, 827], "number_positional_arg": [771, 827], "test_with_out": [771, 827, 829], "test_with_copi": 771, "handle_method": [771, 829], "method_tre": [771, 827, 829], "_gradient_strategi": 771, "handle_test": [771, 802, 819, 829], "test_instance_method": [771, 829], "num_positional_args_help": 771, "num_positional_args_method": 771, "geglu": 775, "leakyrelu": 775, "logsoftmax": 775, "from_flax_modul": 776, "native_modul": 776, "params_fx": 776, "rng_seed": 776, "constructor_arg": 776, "constructor_kwarg": 776, "instance_arg": 776, "instance_kwarg": 776, "flax": [776, 839, 840, 846, 855], "from_haiku_modul": 776, "params_hk": 776, "from_paddle_modul": 776, "from_torch_modul": 776, "dedic": [776, 821, 832, 836, 838], "to_keras_modul": 776, "native_module_class": 776, "modulehelp": [777, 781], "create_vari": [778, 838], "var_shap": [778, 838], "fan_out": [778, 838], "fan_in": [778, 838], "rectangular": 778, "firstlayersiren": 778, "siren": 778, "glorotuniform": [778, 779, 838], "glorot": 778, "xavier": 778, "neuron": 778, "w_1x_1": 778, "w_2x_2": 778, "w_nx_n": 778, "w_i": 778, "vanish": 778, "explod": [778, 843, 844], "kaimingnorm": 778, "fan_mod": [778, 838], "kaim": 778, "he": 778, "negative_slop": 778, "fan": 778, "propog": 778, "fan_sum": [778, 838], "Ones": 778, "randomnorm": 778, "stddev": 778, "w0": 778, "wlim": 778, "predefin": 778, "fan_avg": 778, "adaptiveavgpool1d": 779, "avgpool1d": 779, "implicit": [779, 812, 817, 826, 829, 834, 855], "avgpool2d": 779, "avgpool3d": 779, "e501": 779, "filter_s": 779, "weight_initi": [779, 838], "bias_initi": [779, 838], "0x7f77ee10e560": 779, "0x7f77ee10e5c0": 779, "conv1dtranspos": 779, "0x7f77ee10e620": 779, "0x7f77ee10e680": 779, "filter_shap": 779, "0x7f77ee10e6e0": 779, "0x7f77ee10e740": 779, "0x7f77ee10e7a0": 779, "0x7f77ee10e800": 779, "0x7f77ee10e920": 779, "0x7f77ee10e980": 779, "conv3dtranspos": 779, "0x7f77ee10e9e0": 779, "0x7f77ee10ea40": 779, "depthwiseconv2d": 779, "num_channel": 779, "0x7f77ee10e860": 779, "0x7f77ee10e8c0": 779, "bernoul": 779, "num_embed": 779, "embedding_dim": 779, "padding_idx": 779, "lookup": 779, "num_embeddingss": 779, "renorm": 779, "insensit": 779, "num_lay": 779, "return_sequ": 779, "return_st": 779, "0x7f77ee10eaa0": 779, "get_initial_st": 779, "0x7f77ee10e4a0": 779, "0x7f77ee10e500": 779, "maxpool1d": 779, "maxpool3d": 779, "multiheadattent": 779, "embed_dim": 779, "head_dim": 779, "dropout_r": 779, "use_proj_bia": 779, "attention_ax": 779, "build_mod": [779, 780, 781], "on_init": [779, 781], "parallel": [779, 811, 855, 859, 860], "binarycrossentropyloss": 780, "store_var": [780, 781], "with_partial_v": [780, 781], "logpoissonloss": 780, "modulemeta": 781, "temporarili": [781, 802, 808, 819], "from_cal": 781, "module_dict": 781, "register_buff": 781, "register_paramet": 781, "weights_path": 781, "randomness_factor": 781, "with_edge_label": 781, "with_arg_label": 781, "with_output_label": 781, "output_connected_onli": 781, "highlight_subgraph": 781, "trace_kwarg": 781, "_unified_ivy_graph": 781, "_call": 781, "num_featur": 782, "trail": 782, "layernorm": 782, "normalized_shap": 782, "elementwise_affin": 782, "set_stat": [783, 838], "adamw": 783, "weight_decai": 783, "init_on_first_step": 783, "fallback_to_non_trac": 783, "ignore_miss": 783, "privat": [783, 826, 829], "_step": [783, 838], "stochast": [783, 855], "sub_modul": 784, "check_al": 785, "messag": [785, 794, 798, 805, 806, 813, 816, 818, 820, 826, 834, 836, 845], "check_all_or_any_fn": 785, "check_ani": 785, "check_dev_correct_format": 785, "check_dimens": 785, "check_elem_in_list": [785, 822, 825, 826], "elem": 785, "check_equ": [785, 826], "check_exist": 785, "check_fals": 785, "check_gather_input_valid": 785, "check_gather_nd_input_valid": 785, "check_great": 785, "allow_equ": [785, 818], "check_inplace_sizes_valid": [785, 825], "check_isinst": 785, "allowed_typ": 785, "check_kernel_padding_s": 785, "padding_s": 785, "check_less": [785, 818], "check_one_way_broadcast": 785, "check_same_dtyp": 785, "check_shapes_broadcast": 785, "check_tru": 785, "check_unsorted_segment_valid_param": 785, "ast_help": 787, "importtransform": 787, "nodetransform": 787, "impersonate_import": 787, "tree": [787, 814], "local_ivy_id": 787, "visit_import": 787, "visit_importfrom": 787, "ivyload": 787, "loader": [787, 837, 840], "exec_modul": 787, "ivypathfind": 787, "metapathfind": 787, "find_spec": 787, "fullnam": 787, "contextmanag": 788, "choose_random_backend": 788, "global_backend": 788, "dynamic_backend_convert": 788, "backend_stack": [788, 834], "prevent_access_loc": 788, "previous_backend": [788, 810], "unset": [788, 810, 834], "Or": [788, 799, 801, 825, 837], "set_backend_to_specific_vers": 788, "set_jax_backend": 788, "set_mxnet_backend": 788, "mx": 788, "set_numpy_backend": 788, "set_paddle_backend": 788, "set_tensorflow_backend": 788, "set_torch_backend": 788, "unset_backend": [788, 810], "sub_backend_handl": 789, "clear_sub_backend": 789, "find_available_sub_backend": 789, "sub_backends_loc": 789, "fn_name_from_version_specific_fn_nam": 789, "fn_name_from_version_specific_fn_name_sub_backend": 789, "sub_backend_vers": 789, "backend_vers": [789, 802, 814, 819], "set_sub_backend": 789, "sub_backend_str": 789, "set_sub_backend_to_specific_vers": 789, "sub_backend": 789, "unset_sub_backend": 789, "check_for_binari": 790, "cleanup_and_fetch_binari": [790, 805], "clean": [790, 806, 830, 834, 835, 837], "dynamic_import": 791, "import_modul": [791, 834], "einsum_pars": 792, "convert_interleaved_input": 792, "interleav": 792, "convert_subscript": 792, "old_sub": 792, "symbol_map": 792, "subscript": [792, 793], "oe": 792, "ellipsi": [792, 793], "find_output_shap": 792, "find_output_str": 792, "canon": 792, "gen_unused_symbol": 792, "abd": [792, 793], "get_symbol": 792, "letter": 792, "resort": 792, "unicod": 792, "charact": [792, 826, 845], "chr": 792, "surrog": 792, "\u0155": 792, "20000": 792, "\u4eac": 792, "has_valid_einsum_chars_onli": 792, "einsum_str": 792, "abaz": 792, "\u00f6ver": 792, "is_valid_einsum_char": 792, "\u01f5": 792, "legalise_einsum_expr": 792, "reproduct": [792, 793], "pars": [792, 793, 811, 816, 840], "intak": 792, "contract_path": 792, "parse_einsum_input": [792, 793], "einsum_eqn": 792, "legalis": 792, "legalise_einsum_eqn": 792, "za": [792, 793], "xza": [792, 793], "xz": [792, 793], "possibly_convert_to_numpi": 792, "myshap": 792, "__main__": 792, "0x10f850710": 792, "einsum_path_help": 793, "can_dot": 793, "idx_remov": 793, "bla": 793, "benefici": 793, "movement": 793, "costli": 793, "gemm": 793, "ijj": 793, "ddot": 793, "ikj": 793, "compute_size_by_dict": 793, "idx_dict": 793, "abbc": 793, "find_contract": 793, "input_set": 793, "output_set": 793, "lh": 793, "rh": 793, "new_result": 793, "idx_contract": 793, "iset": 793, "oset": 793, "bdc": 793, "flop_count": 793, "num_term": 793, "size_dictionari": 793, "flop": 793, "greedy_path": 793, "memory_limit": 793, "exhaust": [793, 825, 829, 852, 861], "indices_remov": 793, "priorit": [793, 804, 828, 832], "hadamard": 793, "cubic": 793, "greedi": 793, "idx_siz": 793, "optimal_path": 793, "siev": 793, "input_str": 793, "output_str": 793, "parse_possible_contract": 793, "path_cost": 793, "naive_cost": 793, "propos": [793, 806, 826, 832, 855], "intermediari": [793, 810], "unoptim": 793, "new_input_set": 793, "update_other_result": 793, "provision": 793, "_parse_possible_contract": 793, "mod_result": 793, "inplaceupdateexcept": 794, "include_backend": [794, 818], "ivyattributeerror": [794, 818], "attributeerror": [794, 818, 836], "ivybroadcastshapeerror": [794, 818], "ivydeviceerror": 794, "ivydtypepromotionerror": [794, 818], "ivyindexerror": [794, 818], "ivyinvalidbackendexcept": 794, "ivynotimplementedexcept": [794, 818], "notimplementederror": 794, "ivyvalueerror": [794, 818], "handle_except": [794, 821, 823], "add_array_spec": 795, "fn_array_spec": 795, "set_logging_mod": 796, "debug": [796, 805, 806, 812, 813, 824, 829, 832, 837, 855], "unset_logging_mod": 796, "print_stat": 797, "viz": 797, "snakeviz": 797, "bonu": 797, "cprofil": 797, "cprint": [798, 834], "grant": 799, "autotun": [799, 859], "grow": [799, 855], "peopl": [799, 803, 805, 806, 807, 855, 857], "wip": [799, 848], "docker": [799, 802, 803, 819], "pull": [799, 800, 804, 805, 808, 816, 820, 830, 832, 840, 841, 846], "sweat_smil": 799, "setting_up": 799, "awai": [799, 853, 855], "jax_fn": 799, "jax_x": 799, "torch_x": 799, "torch_fn": 799, "motiv": [799, 836, 845], "contextu": 799, "problem": [799, 804, 806, 808, 809, 815, 826, 836, 845, 851, 857, 861], "explos": [799, 843, 845], "adher": [799, 808, 814, 817, 821, 832, 834, 839, 844, 845, 851, 852, 861], "focus": [799, 814, 830, 853, 854, 855, 861, 862], "orient": 799, "contributor": [799, 800, 802, 804, 805, 806, 819, 826, 833, 855], "shorter": [799, 836], "ensp": 799, "customiz": [799, 811], "deepmind_perceiver_io": 799, "sm_framework": 799, "segmentation_model": 799, "sm": 799, "torch_sm": 799, "metric": [799, 840], "iou_scor": 799, "rax": 799, "torch_rax": 799, "poly1_softmax_loss": 799, "madmom": 799, "madmon": 799, "torch_madmom": 799, "freq": 799, "audio": 799, "hz2midi": 799, "torch_loss": 799, "maxpooling1d": 799, "pool_siz": 799, "tf_kornia": 799, "tf_rax": 799, "tf_madmom": 799, "tf_loss": 799, "_forward_classifi": [799, 849], "forward_classifi": [799, 849], "hk_eff_encod": 799, "dummy_x": 799, "jax_sm": 799, "jax_madmom": 799, "jax_loss": 799, "np_kornia": 799, "np_sm": 799, "np_rax": 799, "np_loss": 799, "yourself": [799, 804, 806, 820, 829, 832], "favourit": [799, 805], "pipelin": [799, 801, 807, 808, 809, 827, 830, 839, 842, 844, 849, 855, 856, 861], "hyperparam": 799, "idea": [799, 804, 828, 830, 835, 846, 854], "instantli": [799, 849], "essenti": [799, 804, 810, 812, 815, 816, 822, 825, 826, 827, 844, 845, 861], "mainli": [799, 804, 807, 824, 826, 829, 835, 837, 842, 855], "handler": [799, 833, 835, 839, 842], "scene": [799, 807, 833, 835, 843, 844, 855], "facilit": 799, "mse_loss": 799, "jax_ms": 799, "tf_mse": 799, "np_mse": 799, "torch_ms": 799, "someth": [799, 802, 806, 810, 819, 820, 830, 837, 838, 840, 841, 861], "favorit": 799, "flexibl": [799, 812, 814, 821, 824, 830, 832, 855], "everyon": [799, 800, 804, 805, 806, 840, 846], "plan": [799, 841], "interoper": [799, 845, 852, 853, 855, 858], "believ": [799, 806, 845], "feedback": [799, 804, 813], "appreci": 799, "amaz": 799, "journei": [799, 800], "ambiti": 799, "season": 799, "perfect": 799, "ask": [799, 804, 805, 816, 834, 836, 840, 841, 846], "fellow": 799, "twitter": 799, "sneak": 799, "peek": 799, "stai": [799, 813], "proper": [799, 804, 826, 849], "credit": 799, "accompani": 799, "lenton2021ivi": 799, "inter": 799, "author": [799, 804, 806, 853, 857], "lenton": 799, "daniel": 799, "pardo": 799, "fabio": 799, "falck": 799, "fabian": 799, "jame": 799, "stephen": 799, "clark": 799, "ronald": 799, "journal": 799, "arxiv": 799, "preprint": 799, "2102": 799, "02886": 799, "year": [799, 808, 840, 844, 846, 855], "strongli": [800, 805, 826, 861, 862], "engag": [800, 806, 845], "skill": [800, 857], "veteran": 800, "effort": [800, 804, 840, 845, 851, 855, 861], "board": [800, 811], "stage": [800, 806, 807, 808, 811, 829, 845, 855], "excit": [800, 807, 845], "Be": [801, 811], "awar": [801, 811, 818, 820], "linux": [801, 805, 806, 811, 858, 860], "regularli": [801, 811, 813], "internet": [801, 811], "codespac": [801, 811, 819], "make_doc": 801, "sh": [801, 805, 806, 808, 813], "host": [801, 813, 840, 845, 860], "pwd": 801, "ssh": [801, 813], "make_docs_without_dock": [801, 811], "assist": [802, 819], "runtimeerror": [802, 819], "logaddexp2_cpu": [802, 819], "falsifi": [802, 808, 819, 829], "test_logaddexp2": [802, 819], "backend_fw": [802, 819, 827], "dtype_and_x": [802, 819, 827, 829], "reproduce_failur": [802, 808, 819, 823, 829], "axicy2bkaamobaar2waaaacvaai": [802, 819], "decoartor": [802, 819], "with_unsupported_dtyp": [802, 814, 819, 826], "25830078125": [802, 819], "258544921875": [802, 819], "test_acosh": [802, 819], "axicy2baabyqwqgiaabdaai": [802, 819], "quit": [802, 806, 809, 816, 817, 819, 822, 823, 829, 832, 855, 861], "41421356": [802, 819], "41421356e": [802, 819], "34078079e": [802, 819], "154": [802, 819], "test_ab": [802, 805, 819, 829], "000j": [802, 819], "154j": [802, 819], "axicy2zkyaiibibgziaaxqhexsaab7juqaaamteazq": [802, 819], "experiment": [802, 806, 814, 826, 830, 834, 855], "thread": [802, 804, 805, 806, 808, 809, 810, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 832, 837, 855], "pycharm": [802, 827, 829], "few": [803, 804, 806, 812, 814, 815, 821, 822, 824, 825, 827, 829, 832, 834, 835, 836, 837, 838, 846, 855, 857], "climb": 803, "steep": 803, "curv": 803, "realpython": 803, "pyn": 803, "exchang": [803, 845, 851, 853], "pilot": [803, 841], "stuck": [803, 804], "spell": 803, "sound": [803, 813, 833], "frequent": [804, 806, 810, 855], "outlin": [804, 805, 806, 807, 812, 814, 817, 822, 825, 826, 829], "broad": [804, 857], "individu": [804, 806, 808, 810, 814, 822, 826, 855, 858, 861, 862], "clearli": [804, 806, 816, 827, 829, 845, 859], "qualiti": [804, 806], "lie": 804, "craft": [804, 828, 829], "fault": [804, 816, 855], "situat": [804, 806, 813, 839], "opportun": 804, "tackl": [804, 826], "challeng": [804, 810, 861], "categoris": [804, 808, 826], "encourag": [804, 820, 840, 845], "comfort": [804, 805, 818], "valuabl": [804, 806], "linkag": 804, "confid": 804, "submit": [804, 820], "merg": [804, 806, 808, 813, 826, 855], "meet": [804, 826], "scipi": [804, 845, 857, 862], "mindspor": 804, "simpler": [804, 806, 820, 848, 856, 862], "member": [804, 806, 826, 841, 845], "comment": [804, 805, 806, 808, 814, 820, 826, 828, 832], "pr": [804, 806, 808, 820, 826, 827, 829], "composition": 804, "feasibl": [804, 813, 845, 848], "pend": 804, "helpfulli": [804, 832, 853], "problemat": [804, 805], "unimpl": 804, "issue_link": 804, "alias_nam": 804, "notic": [804, 809, 813, 819, 820, 829, 832, 848], "push": [804, 806, 808, 827, 829, 861], "liner": 804, "meanwhil": [804, 813], "reselect": 804, "faithfulli": 804, "creation_routin": [804, 827], "indexing_routin": 804, "ma": 804, "manipulation_routin": 804, "mathematical_funct": [804, 826], "sorting_searching_count": 804, "ufunc": [804, 826], "matrix_and_vector_product": 804, "matrix_eigenvalu": 804, "norms_and_other_numb": 804, "solving_equations_and_inverting_matric": 804, "gleam": 804, "uncom": 804, "test_numpy_inn": 804, "test_frontend": [804, 813, 819, 827], "unsur": [804, 829], "statu": [804, 813, 820, 846], "refrain": 804, "checkbox": [804, 805], "aforement": 804, "parent": [804, 813, 836], "arraywithelementwis": [804, 809, 836], "containerwithmanipul": 804, "thorough": [804, 817, 821, 829], "add_reformatting_checklist_": 804, "category_nam": [804, 814, 815, 817, 821, 822], "autom": [804, 813, 820, 829, 842, 857], "bot": [804, 820], "markdown": [804, 811], "patient": [804, 805], "elabor": 804, "struggl": 804, "assigne": 804, "status": 804, "central": [804, 820, 832, 845, 861], "analyz": [804, 842], "relevant_submodul": 804, "roadmap": [804, 813], "soon": [804, 806, 813, 814, 840, 848], "deem": [804, 826], "subtask": 804, "clearer": [804, 818, 827, 837], "backend_nam": [804, 810, 814, 815, 817, 821, 822, 823], "sometim": [804, 805, 806, 808, 814, 822, 826, 829, 832], "rare": [804, 815, 840, 860], "button": [804, 805, 806, 819], "centr": 804, "predetermin": 804, "superset": [804, 807, 822, 825, 840], "reserv": 804, "happi": [805, 819, 840, 846], "your_usernam": [805, 819], "your_fold": [805, 819], "enter": [805, 806, 809, 814, 815, 819, 821, 823], "sync": [805, 808, 819], "remot": [805, 808, 819, 820], "nutshel": [805, 821], "hook": [805, 820, 828], "lint": [805, 807], "succe": [805, 848], "whatev": [805, 812, 840], "elig": 805, "student": 805, "licens": [805, 858], "remind": 805, "expir": 805, "won": [805, 806, 812, 814, 839, 841, 845, 846, 848, 849, 850], "profession": 805, "trial": 805, "jetbrain": 805, "month": [805, 844], "bui": [805, 861], "paid": 805, "rapid": [805, 844, 845, 855], "pace": 805, "person": [805, 806], "abil": [805, 832, 835, 840, 855], "perhap": [805, 836, 837, 838, 840, 861], "conda": [805, 845, 857], "ivy_dev": [805, 806], "icon": [805, 806, 819], "panel": 805, "vscode": [805, 819], "palett": 805, "ctrl": [805, 806], "mac": [805, 806], "intel": [805, 845, 853, 860], "m1": 805, "optional_apple_silicon_1": 805, "optional_apple_silicon_2": 805, "array_api_test": [805, 806, 808, 819], "test_array_api": [805, 806, 808, 819, 829], "suit": [805, 807, 808, 813, 819, 828, 829, 837, 845, 855, 861], "cmd": 805, "bat": [805, 806], "virtualenv": 805, "tick": [805, 806, 813], "nz2": 805, "openssl": 805, "libssl1": 805, "1_1": 805, "1f": 805, "1ubuntu2": 805, "19_amd64": 805, "deb": 805, "dpkg": 805, "mitig": [805, 861], "desktop": [805, 819], "powershel": 805, "admin": 805, "deploy": [805, 849, 854, 857, 858, 861, 862], "menu": [805, 819], "introspect": 805, "dialog": 805, "persist": 805, "earlier": [805, 806, 814, 830], "virtualis": 805, "bio": [805, 845], "dropdown": [805, 813], "dockerfil": 805, "ca": 805, "certif": 805, "gnupg": 805, "lsb": 805, "keyr": 805, "fssl": 805, "gpg": 805, "dearmor": 805, "echo": [805, 813, 841], "arch": 805, "lsb_releas": 805, "null": [805, 819], "ce": 805, "cli": 805, "containerd": 805, "systemctl": 805, "softwar": [805, 806, 844, 845, 853, 858, 859, 860], "press": [805, 806, 837], "4a": 805, "socket": 805, "rwx": 805, "sock": 805, "pid": 805, "editor": 805, "pytest": [805, 806, 808, 813, 819, 823, 829], "keyboard": 805, "screenshot": 805, "pop": [805, 819, 845], "test_elementwis": 805, "bar": [805, 819], "shell": [805, 806, 808, 813], "setup_test": 805, "run_ivy_core_test": 805, "run_ivy_nn_test": 805, "run_ivy_stateful_test": 805, "run_test": [805, 813], "test_depend": 805, "test_ivy_cor": 805, "test_ivy_nn": 805, "test_ivy_st": 805, "unix": 805, "test_": [805, 827], "test_cor": [805, 806, 827], "offici": [805, 814, 834], "wish": [805, 826], "ivy_nn": 805, "ivy_st": 805, "header": [805, 806, 828], "arrow": 805, "test_stat": 805, "test_submodule_nam": 805, "test_function_nam": 805, "debugg": 805, "studio": [805, 819, 829], "especi": [805, 810, 820, 844, 855], "afterward": [805, 837], "background": [805, 811, 819, 855, 857], "overlap": [805, 813, 819, 830, 832, 856], "test_file_path": [805, 819], "test_fn_nam": [805, 819], "engin": [805, 855, 857, 858], "devcontain": 805, "comma": 805, "postcreatecommand": 805, "post_create_command": 805, "poststartcommand": 805, "safe": [805, 826], "containerworkspacefold": 805, "reopen": 805, "test_fle_path": 805, "slash": 805, "isol": [805, 806, 856, 861], "container": 805, "intens": 805, "headach": 805, "arm": [805, 806], "vm": [805, 813], "azur": 805, "cloud": [805, 813, 857], "theme": [805, 811], "ipad": 805, "browser": [805, 811], "quota": 805, "requisit": 805, "pane": [805, 806, 813], "dockerfilegpu": 805, "ivv": 805, "multiv": 805, "multivers": [805, 830], "dockerfilemultivers": 805, "dockerhub": 805, "upto": [805, 806], "minut": [805, 813], "launch": 805, "quickli": [805, 806, 813, 837, 838, 844, 846, 855, 862], "kindli": [805, 828], "guidelin": 805, "colour": 805, "chanc": 805, "troubleshoot": 805, "ever": 805, "flask": [805, 819], "toolbar": [805, 806, 819], "_array_modul": [805, 808, 819], "refresh": [805, 819], "pytestarg": [805, 819], "unittesten": [805, 819], "pytesten": [805, 819], "autotestdiscoveronsaveen": [805, 819], "conftest": 805, "serv": [805, 806, 809, 812, 821, 822, 826, 827, 829, 832, 833, 842, 853], "aren": [805, 814], "record": [805, 840, 856], "available_config": 805, "cp310": 805, "x86": [805, 860], "newer": [805, 829], "_compil": 805, "meantim": 805, "suffici": [805, 816, 826, 829], "bear": [805, 809, 812, 814, 826], "tendenc": 806, "land": 806, "unrel": [806, 845], "fly": [806, 855], "internship": 806, "suspect": 806, "iii": 806, "issue_numb": 806, "12345": 806, "rememb": 806, "respond": 806, "dai": [806, 820], "freed": 806, "obvious": [806, 813], "hypothet": 806, "frustrat": 806, "delai": [806, 848], "busi": 806, "inact": 806, "unfairli": 806, "investig": 806, "name_of_your_branch": 806, "date": [806, 808], "complic": [806, 827, 834], "merge_with_upstream": 806, "abort": 806, "tediou": [806, 816, 832], "stash": [806, 820], "reinstat": 806, "uncommit": 806, "unstag": [806, 820], "untrack": 806, "atlassian": 806, "wrote": 806, "piec": [806, 809, 822, 823, 834, 848, 851, 853], "blame": 806, "eg": 806, "week": [806, 846], "grep": 806, "commit_id": 806, "handi": 806, "histori": 806, "toggl": 806, "highlight": [806, 813, 816, 826, 828], "approv": 806, "someon": [806, 840], "hash": [806, 837], "cancel": 806, "speedup": 806, "unavail": 806, "tickbox": 806, "span": [806, 853, 861], "intent": [806, 825], "discourag": 806, "adopt": [806, 809, 821, 832, 845, 854, 855, 860], "philosophi": 806, "infrequ": 806, "earli": [806, 855], "wast": [806, 813], "spot": [806, 816, 822], "mistak": 806, "mountain": 806, "advoc": [806, 840], "session": [806, 855], "beauti": 806, "particularli": [806, 837, 840, 848, 853], "care": [806, 815, 826, 832, 839, 845], "undo": 806, "stress": 806, "nifti": 806, "reassur": 806, "local_path_to_ivi": 806, "subfold": [806, 827, 829, 830], "dep": 806, "fresh": 806, "arsen": 806, "exec": 806, "ivy_contain": 806, "test_imag": 806, "test_random_crop": 806, "test_creation_funct": 806, "test_arang": 806, "cursor": 806, "alt": 806, "blog": 806, "breakpoint": 806, "gutter": 806, "caret": 806, "f8": 806, "f9": 806, "Into": 806, "f7": 806, "smart": 806, "fragment": [806, 851, 853, 857], "wherein": [806, 822, 829], "failur": [806, 813, 827, 829], "weed": [807, 833], "tour": 807, "formatt": [807, 820], "conjunct": 808, "establish": [808, 857], "popular": [808, 855], "sens": [808, 814, 816, 826, 828, 836], "unconnect": 808, "initialis": [808, 826, 829], "strang": [808, 836], "thoroughli": 808, "test_linalg": [808, 827], "test_set_funct": 808, "test_signatur": 808, "excess": [808, 810, 816], "array_modul": 808, "vv": 808, "test_manipulation_funct": 808, "test_concat": [808, 829], "nb": 808, "liber": 808, "______________________": 808, "test_remaind": 808, "_______________________": 808, "test_operators_and_elementwise_funct": 808, "1264": 808, "1277": 808, "binary_param_assert_against_refimpl": 808, "ctx": 808, "620": 808, "binary_assert_against_refimpl": 808, "324": 808, "scalar_o": 808, "17304064": 808, "binaryparamcontext": 808, "axic42baaowcnp": 808, "rumwmabaear0": 808, "make_binary_param": 808, "numeric_dtyp": 808, "left_strat": 808, "left_sym": 808, "right_strat": 808, "right_sym": 808, "right_is_scalar": 808, "binary_param_assert_dtyp": 808, "binary_param_assert_shap": 808, "recreat": 808, "unexpectedli": 808, "discrep": [808, 827], "test_asarray_arrai": 808, "test_floor_divid": 808, "health": 808, "test_iop": 808, "__imod__": 808, "isequ": 808, "test_matrix_norm": 808, "alter": 808, "tweak": 808, "array_api_methods_to_test": 808, "test_special_cas": 808, "__ipow__": 808, "is_integ": 808, "easier": [808, 809, 810, 814, 827, 830, 842, 855, 857], "revisit": [808, 821], "_data": [809, 825, 826, 836], "organiz": [809, 812, 826], "underpin": [809, 812, 834], "programmat": [809, 812, 856], "backup": [809, 811, 812], "accident": [809, 812, 826], "absent": [809, 812], "auto": [809, 811, 812, 820, 837], "__mul__": [809, 812, 816, 821, 832, 836], "throw": [809, 814, 815, 818, 819, 836, 855], "imposs": 809, "inputs_to_native_arrai": [809, 822, 823], "outputs_to_ivy_arrai": [809, 814, 815, 821, 822, 823], "secondli": [809, 814], "__ivy_array_function__": 809, "inspir": 809, "__torch_function__": 809, "myarrai": 809, "handled_funct": 809, "notimpl": 809, "issubclass": 809, "four": [809, 814, 816, 821, 822, 829, 832, 837], "enough": [809, 813, 814, 815, 829, 836, 837, 838], "ivy_funct": 809, "my_ab": 809, "my_arrai": 809, "implicit_backend": [810, 834], "__dict__": [810, 825, 834], "ivy_original_dict": [810, 834], "fallback": 810, "live": [810, 811, 814, 845, 846, 851, 853], "scope": [810, 856, 860], "dlpack": 810, "set_dynamic_backend": 810, "unset_dynamic_backend": 810, "dynamic_backend_a": 810, "set_": 810, "unset_": 810, "backend_handl": 810, "requires_grad": 810, "memory_format": 810, "preserve_format": 810, "weren": 810, "vast": [810, 814, 855], "minor": [810, 832, 840], "fn_name_v_1p12_and_abov": 810, "fn_name_v_1p01_to_1p1": 810, "heavili": [811, 823, 840], "characterist": 811, "conf": 811, "cleanup": 811, "readm": [811, 840], "maxdepth": 811, "caption": 811, "related_work": 811, "deep_div": 811, "faq": 811, "glossari": 811, "autosummari": 811, "top_functional_toc": 811, "restructuredtext": 811, "discov": [811, 814], "ivy_toctree_caption_map": 811, "stub": 811, "unfortun": [811, 820], "linker": 811, "foo": 811, "discussion_channel_map": 811, "1000043690254946374": 811, "1000043749088436315": 811, "forum": [811, 841], "seri": [811, 814, 826, 829, 855, 857], "discussion_paragraph": 811, "discord_link": 811, "channel_link": 811, "gg": 811, "zvqdvbznqj": 811, "799879767196958751": 811, "channel_id": 811, "autoskippablemethod": 811, "skippable_method_attribut": 811, "__qualname__": 811, "autodoc": 811, "__doc__": 811, "autoivydata": 811, "mutual": [812, 822], "containerwithelementwis": 812, "__repr__": 812, "__getattr__": [812, 848], "__setattr__": [812, 848], "__contains__": 812, "__getstate__": 812, "__setstate__": 812, "unpickl": 812, "num_dim": [812, 839], "restrict": [812, 813, 826, 834, 848, 852], "enforc": [812, 836], "extern": [812, 821, 826, 829, 830], "lefthand": 812, "righthand": 812, "handle_nest": [812, 821, 822, 823, 834], "absenc": [812, 821, 855], "implicitli": [812, 824, 829, 834], "log_pr": [812, 822, 825], "intuit": [812, 829, 837, 838, 851], "chronolog": 812, "concurr": [812, 813, 822, 855], "despit": [812, 814, 815, 827, 834, 845, 852, 855], "__list__": 812, "whatsoev": [812, 822, 842, 861], "children": 812, "shallowest": 812, "deepest": 812, "rollback": 813, "incorpor": [813, 827, 837, 855], "techniqu": 813, "triplet": 813, "test_torch": [813, 827], "test_tensor": [813, 827], "test_torch_instance_arctan_": 813, "12500": 813, "daili": 813, "huge": [813, 837, 843, 845, 855, 861], "shoot": 813, "impact": [813, 829, 838, 857], "_reduce_loss": [813, 822, 825], "test_nn": 813, "test_loss": 813, "test_binary_cross_entropy_with_logit": 813, "test_cross_entropi": 813, "test_binary_cross_entropi": 813, "test_sparse_cross_entropi": 813, "test_loss_funct": 813, "test_torch_binary_cross_entropi": 813, "test_torch_cross_entropi": 813, "binary_cross_entropy_with_logit": 813, "torch_binary_cross_entropi": 813, "torch_cross_entropi": 813, "magic": 813, "readthedoc": 813, "pedagog": 813, "f_1": 813, "t_1": 813, "t_3": 813, "t_7": 813, "t_": 813, "f_m": 813, "cyclic": 813, "intellig": [813, 829, 857], "tests_fil": 813, "file_nam": [813, 829, 830], "tests_lin": 813, "correspondingli": 813, "tests_to_run": 813, "determine_tests_lin": 813, "mongodb": 813, "databas": [813, 829], "mechan": [813, 840], "secret": 813, "db": 813, "ssh_deploy_kei": 813, "suffic": [813, 823, 829], "massiv": 813, "yml": 813, "felicit": 813, "clone_map": 813, "deploy_kei": 813, "user_email": 813, "user_nam": 813, "target_branch": 813, "github_serv": 813, "deploy_key_fil": 813, "ssh_known_hosts_fil": 813, "known_host": 813, "keyscan": 813, "git_ssh_command": 813, "userknownhostsfil": 813, "email": [813, 845], "methodologi": 813, "master1": 813, "restructur": 813, "_map": 813, "t_2": 813, "t_n": 813, "index_map": 813, "test_map": 813, "snowbal": 813, "recalibr": 813, "workflow_dispatch": 813, "schedul": [813, 840, 855, 862], "cron": 813, "saturdai": 813, "night": 813, "pm": 813, "gut": 813, "lesser": [813, 818], "lol": 813, "hour": [813, 846], "cater": [813, 828], "master2": 813, "master32": 813, "synchron": 813, "runner2": 813, "corrupt": 813, "decoupl": [813, 838], "150": 813, "cycl": [813, 829], "yellow": 813, "queu": 813, "redirect": 813, "book": 813, "onrend": 813, "jo": 813, "ran": 813, "badg": 813, "clickabl": 813, "all_dtyp": 814, "all_numeric_dtyp": 814, "all_int_dtyp": 814, "all_float_dtyp": 814, "replic": [814, 824, 825, 826], "thirdli": 814, "native_float32": 814, "importantli": [814, 836, 839], "arguabl": [814, 815, 826], "jaxarrai": [814, 815, 818, 821, 825, 830, 834], "_handle_0_dim_output": 814, "subtli": [814, 825], "promote_types_frontend_nam": 814, "promote_types_of_frontend_name_input": 814, "frontend_nam": 814, "upcast": 814, "nearli": [814, 821, 823, 855], "downcast": 814, "footprint": 814, "concret": 814, "aris": [814, 820, 840, 845], "utterli": 814, "meant": [814, 816, 825], "twice": 814, "disadvantag": 814, "relax": 814, "f64": 814, "unwant": 814, "primaci": 814, "resembl": 814, "compound": 814, "infer_dtyp": [814, 815, 821, 823], "settabl": [814, 815], "handle_out_argu": [814, 815, 821, 822, 823, 825, 834], "infer_devic": [814, 815, 821, 823], "deleg": [814, 862], "shape_to_tupl": 814, "with_supported_dtyp": 814, "unment": 814, "_cast_for_unary_op": [814, 822, 825], "target_typ": 814, "syntax": [814, 844, 845, 855], "unsupported_dtyp": 814, "supported_dtypes_and_devic": 814, "with_unsupported_device_and_dtyp": 814, "globals_getter_func": 814, "f2": 814, "lack": [814, 825, 855, 862], "mandat": [814, 825, 829, 830, 845], "confus": [814, 818, 825, 832, 842, 846], "inconsist": [814, 818, 824], "is_nan": 814, "supported_dtyp": 814, "anytim": 814, "84530": 814, "unwarr": 814, "risk": [814, 861], "needlessli": 814, "bloat": 814, "undergo": [814, 840], "unsupported_devic": 814, "supported_devic": 814, "downsid": 814, "coverag": [814, 829], "undesir": 814, "accomplish": 814, "upcast_data_typ": 814, "downcast_data_typ": 814, "crosscast_data_typ": 814, "cast_data_typ": 814, "downcast_data_dtyp": 814, "vice": 814, "versa": 814, "till": 814, "crosscast": 814, "exmp1": 814, "watch": [814, 826], "handle_numpy_arrays_in_specific_backend": [814, 821], "cate": 814, "understood": 814, "consumpt": [814, 859], "dual": 815, "categor": [815, 822, 826], "210": 815, "_handle_except": [815, 818], "1013": 815, "_handle_nest": [815, 818], "905": 815, "_handle_out_argu": [815, 818], "441": 815, "_inputs_to_native_arrai": [815, 818], "new_arg": [815, 818], "new_kwarg": [815, 818], "_outputs_to_ivy_arrai": [815, 818], "358": 815, "_handle_array_funct": [815, 818], "_handle_device_shift": 815, "handle_device_shift": [815, 823], "crucial": [815, 824], "device_shifting_dev": 815, "__enter__": 815, "__exit__": 815, "mostli": [815, 825, 829], "soft_devic": 815, "eight": [816, 833], "op_nam": 816, "__r": 816, "unsurprisingli": [816, 844], "recap": [816, 838], "combinatori": 816, "okai": [816, 832, 834], "spec": [816, 817], "my_func": [816, 830], "some_flag": 816, "another_flag": 816, "jointli": 816, "5574077": 816, "1850398": 816, "5463025": 816, "8422884": 816, "91601413": 816, "9647598": 816, "3738229": 816, "1597457": 816, "0963247": 816, "9955841": 816, "3278579": 816, "asid": 816, "increasingli": [816, 848], "14254655": 816, "1578213": 816, "380515": 816, "trivial": [816, 825], "failing_fn_nam": 816, "onlin": [816, 817], "minutest": 816, "contrast": [817, 821, 826, 861], "preview": 817, "incorrectli": [817, 848], "needless": [817, 827], "renam": [817, 826], "judgment": 817, "operator_nam": 817, "succinct": 817, "docst": 817, "native_error": 818, "_combine_messag": 818, "truli": [818, 836], "wrong": [818, 820, 823, 826, 832], "198": 818, "392": 818, "_handle_array_like_without_promot": 818, "805": 818, "432": 818, "349": 818, "other_test": 818, "523": 818, "_handle_numpy_out": 818, "396": [818, 838], "_outputs_to_numpy_arrai": 818, "_inputs_to_ivy_arrays_np": 818, "ivy_arg": 818, "ivy_kwarg": 818, "453": 818, "_from_zero_dim_arrays_to_scalar": 818, "truth_value_test": 818, "visibl": 818, "unwieldi": 818, "squash": 818, "hide": [818, 848], "cleaner": [818, 837], "caught": [818, 820], "rethrow": 818, "_print_traceback_histori": 818, "error_stack": 818, "axiserror": 818, "polici": [818, 823, 829, 831], "moreov": 818, "submoodul": 819, "test_jax_transpos": 819, "manipulaiton": 819, "test_jax": [819, 827], "test_numpi": [819, 827], "test_manipul": [819, 827, 829], "preconditionnotmet": 819, "densetensor": 819, "holder_": 819, "phi": 819, "dense_tensor_impl": 819, "array_and_ax": 819, "aaegbaegaqaaaaaaaaaaaaab": 819, "black": 820, "flake8": 820, "linter": 820, "autoflak": 820, "docformatt": 820, "pydocstyl": 820, "yaml": 820, "patch1687898304": 820, "8072": 820, "3516aed563": 820, "reformat": 820, "akshai": 820, "jain": 820, "gui": 820, "cryptic": 820, "garden": 820, "utc": 820, "didn": 820, "human": 820, "intervent": 820, "typo": 820, "ui": 820, "handle_array_like_without_promot": [821, 823], "to_native_arrays_and_back": [821, 823, 834], "handle_array_funct": [821, 823], "inputs_to_native_shap": [821, 823], "rational": [821, 825, 832], "__div__": [821, 832], "484": 821, "annot": 821, "brittl": 821, "freeli": 821, "inde": [821, 832, 840, 853], "technic": [821, 825, 840, 855, 857], "original_typ": 821, "cumbersom": 821, "hinder": [821, 844], "venn": 822, "diagram": [822, 861], "light": [822, 830, 840, 842, 856, 861], "maximis": 822, "encompass": 822, "partial_mixed_handl": [822, 823, 832], "handle_partial_mixed_funct": [822, 823, 832], "fn_decor": 822, "mixed_backend_wrapp": [822, 825], "to_add": 822, "to_skip": 822, "inputs_to_ivy_arrai": [822, 823], "modif": [822, 855], "briefli": [822, 829, 837], "get_all_arrays_on_dev": 822, "outputs_to_ivy_shap": 823, "outputs_to_native_arrai": 823, "handle_view_index": [823, 825], "handle_view": [823, 825], "handle_rag": 823, "handle_backend_invalid": 823, "handle_nan": 823, "to_native_shapes_and_back": 823, "modern": [824, 844, 845, 860], "inter_func": 824, "custom_grad_fn": 824, "args1": 824, "eas": [824, 855], "program": [825, 852, 853, 855, 858, 859, 862], "speak": 825, "val_n": 825, "base_idx": 825, "_manipulation_stack": 825, "base_flat": 825, "_view_ref": 825, "_update_view": 825, "contigu": 825, "c_contigu": 825, "ascontiguousarrai": 825, "copyto": 825, "_is_vari": 825, "tensor_scatter_nd_upd": 825, "is_vari": 825, "_update_torch_view": 825, "predominantli": [825, 830], "support_native_out": [825, 834], "_scalar_output_to_0d_arrai": 825, "_wrap_fn": 825, "dim0": 825, "dim1": 825, "res_floor": 825, "extent": [825, 826], "to_out_fn": 825, "add_wrapp": 825, "paradigm": [825, 840, 855], "expans": 825, "brief": [825, 829], "weak": 825, "_torch_bas": 825, "_torch_view_ref": 825, "_torch_manipul": 825, "weakli": 825, "adequ": 825, "tf_frontend": 826, "lax": [826, 827, 832, 839, 840], "torch_frontend": [826, 827], "numpy_frontend": 826, "jax_frontend": 826, "to_ivy_arrays_and_back": [826, 827], "fidel": 826, "algebra": [826, 853, 854, 855, 858, 862], "dynamic": 826, "mimic": 826, "arithmetic_oper": 826, "handle_numpy_out": 826, "handle_numpy_dtyp": 826, "handle_numpy_cast": 826, "from_zero_dim_arrays_to_scalar": 826, "_add": 826, "same_kind": 826, "subok": [826, 827, 832], "promote_types_of_numpy_input": 826, "underscor": 826, "unhandl": 826, "trigonometric_funct": 826, "_tan": 826, "check_tensorflow_cast": 826, "raw_op": [826, 827], "map_raw_ops_alia": 826, "output_typ": 826, "kwargs_to_upd": 826, "pointwise_op": 826, "sensibl": 826, "ahead": [826, 830, 855], "reduce_logsumexp": 826, "logsumexp": 826, "trick": 826, "max_input_tensor": 826, "preferred_element_typ": 826, "languag": [826, 834, 842, 844, 846, 853, 856, 858, 859, 860, 861], "offer": [826, 838, 846, 855, 861, 862], "finer": 826, "logicaland": 826, "np_frontend": 826, "_ivy_arrai": 826, "radd": 826, "_init_data": 826, "_process_str_data": 826, "_dtype": [826, 827, 836], "_shape": [826, 836], "govern": 826, "promote_types_of_": 826, "_input": 826, "promote_types_of_torch_input": [826, 827], "handle_numpy_casting_speci": 826, "new_fn": 826, "equiv": 826, "unsaf": 826, "array_type_test": 826, "_isfinit": 826, "organis": 826, "grasp": 826, "youtub": 826, "knowledg": 827, "np_frontend_help": 827, "open_task": 827, "test_lax": 827, "test_oper": 827, "test_jax_tan": 827, "test_mathematical_funct": 827, "test_trigonometric_funct": 827, "dtypes_values_cast": 827, "dtypes_values_casting_dtyp": 827, "arr_func": 827, "get_num_positional_args_ufunc": 827, "test_numpy_tan": 827, "handle_where_and_array_bool": 827, "test_tensorflow": 827, "test_math": 827, "test_tensorflow_tan": 827, "test_pointwise_op": 827, "test_torch_tan": 827, "_fill_valu": 827, "test_glob": 827, "test_jax_ful": 827, "test_from_shape_or_valu": 827, "_input_fill_and_dtyp": 827, "dtype_and_input": 827, "dtype_to_cast": 827, "input_fill_dtyp": 827, "test_numpy_ful": 827, "test_raw_op": 827, "test_tensorflow_fil": 827, "test_creation_op": 827, "with_arrai": 827, "test_torch_ful": 827, "add_nois": 827, "all_clos": 827, "_get_dtype_and_matrix": 827, "test_torch_qr": 827, "frontend_q": 827, "frontend_r": 827, "walkthrough": 827, "comparison_op": 827, "test_comparison_op": 827, "test_torch_great": 827, "all_alias": 827, "test_ndarrai": 827, "test_numpy_instance_add__": 827, "test_tensorflow_instance_add": 827, "1e04": 827, "allow_infin": 827, "test_torch_instance_add": 827, "_arrays_idx_n_dtyp": 827, "surprisingli": 827, "closest_relevant_group": 827, "strive": [827, 829, 832, 840, 857], "tailor": 828, "clariti": [828, 829, 832, 855], "weav": 828, "thrill": 828, "brim": 828, "stand": [828, 829], "testament": 828, "landscap": 828, "forese": 828, "refin": 828, "inquiri": 828, "fixtur": 829, "hit": [829, 834, 848], "eleg": [829, 855], "unexplor": 829, "artifact": 829, "bespok": 829, "_array_or_typ": 829, "rigor": [829, 844], "test_default_int_dtyp": 829, "print_hypothesis_exampl": 829, "custom_strategi": 829, "randomis": 829, "simplist": 829, "intricaci": 829, "glanc": 829, "one_of": 829, "datum": 829, "pipe": 829, "array_or_scal": 829, "len_of_arrai": 829, "test_add": 829, "test_gpu_is_avail": 829, "pretest": 829, "snippet": [829, 849], "criterion": 829, "valid_ax": 829, "hoc": 829, "11228": 829, "268": 829, "wherev": 829, "9622": 829, "28136": 829, "6375": 829, "12720": 829, "21354": 829, "900e": 829, "57384": 829, "25687": 829, "248": 829, "test_devic": 829, "array_shap": 829, "test_lay": 829, "some_sequ": 829, "arrays_valu": 829, "36418": 829, "213": 829, "21716926": 829, "none_or_list_of_float": 829, "get_prob": 829, "103515625e": 829, "099609375": 829, "probabilist": 829, "number_positional_argu": 829, "unreproduc": 829, "x_and_linear": 829, "is_torch_backend": 829, "x_shape": [829, 834], "weight_shap": 829, "bias_shap": 829, "ivy_np": 829, "valid_float_dtyp": 829, "test_demo": 829, "failing_test": 829, "traceback": 829, "shrink": 829, "prescrib": 829, "scratch": 829, "therebi": 829, "test_gelu": 829, "test_fil": 829, "phase": [829, 840, 855], "notabl": [829, 855], "max_exampl": 829, "deadlin": 829, "weird": 829, "systemat": 829, "safeguard": 829, "inabl": 829, "test_result_typ": 829, "9090909090909091": 829, "judgement": 830, "some_namespac": 830, "some_backend": 830, "another_backend": 830, "refactor": 830, "ongo": 830, "check_fill_value_and_dtype_are_compat": 830, "_to_devic": 830, "shouldn": [830, 848], "pin": 830, "unpinn": 830, "culmin": 830, "unsett": 831, "array_significant_figur": 831, "array_decimal_valu": 831, "warning_level": 831, "nan_polici": 831, "stablest": 831, "constantli": [832, 844], "answer": [832, 836, 840], "contradict": 832, "entail": 832, "sacrif": 832, "jacfwd": 832, "jacrev": 832, "banner": 832, "expens": 832, "incredibli": [832, 837, 840, 858], "price": 832, "pai": 832, "intrus": 832, "x_beta": 832, "equip": 832, "simplif": 832, "allevi": 832, "ineffici": [832, 840, 855], "fuse": 832, "hybrid": 832, "workaround": 832, "slip": 832, "radar": 832, "stumbl": 832, "gone": [833, 845], "fulfil": 833, "syntact": [834, 839], "power_seq": 834, "_determine_backend_from_arg": 834, "importlib": 834, "_backend_dict": 834, "x_flat": 834, "wi": 834, "wi_x": 834, "wii_x": 834, "wif_x": 834, "wig_x": 834, "wio_x": 834, "wh": 834, "ht": 834, "ct": 834, "hts_list": 834, "wii_xt": 834, "wif_xt": 834, "wig_xt": 834, "wio_xt": 834, "htm1": 834, "ctm1": 834, "wh_htm1": 834, "whi_htm1": 834, "whf_htm1": 834, "whg_htm1": 834, "who_htm1": 834, "ft": 834, "ot": 834, "reliabl": 834, "scalabl": [834, 844, 860, 861], "sacrific": 834, "hear": 834, "virtu": [834, 852], "pure_ivi": 834, "pure_torch": 834, "unclean": 834, "wx": 834, "temp": 834, "ivy_func": 834, "emphas": 834, "torchscript": [834, 842, 862], "example_input": 834, "static_argnum": [834, 848], "static_argnam": [834, 848], "primit": [835, 840, 853, 855], "upcom": 835, "hierarch": [835, 837, 838, 855], "arraywithactiv": 836, "arraywithcr": 836, "arraywithdatatyp": 836, "arraywithdevic": 836, "arraywithgener": 836, "arraywithgradi": 836, "arraywithimag": 836, "arraywithlay": 836, "arraywithlinearalgebra": 836, "arraywithloss": 836, "arraywithmanipul": 836, "arraywithnorm": 836, "arraywithrandom": 836, "arraywithsearch": 836, "arraywithset": 836, "arraywithsort": 836, "arraywithstatist": 836, "arraywithutil": 836, "_init": 836, "_size": 836, "_devic": 836, "_dev_str": 836, "_pre_repr": 836, "_post_repr": 836, "framework_str": 836, "pypep8nam": 836, "immut": 836, "claim": 836, "_native_wrapp": 836, "genuin": 836, "some_method": 836, "rewritten": 836, "littl": [836, 844, 857], "wonder": [836, 844, 846], "compartment": 836, "newshap": 836, "new_shap": 836, "tidi": 836, "crystal": 836, "ton": 837, "ado": [837, 838], "soup": 837, "walk": [837, 838], "cnt": 837, "3333335": 837, "autocomplet": 837, "midwai": 837, "agent": 837, "total_spe": 837, "total_height": 837, "total_width": 837, "ag": 837, "tot": 837, "total_": 837, "total_h": 837, "cnt0": 837, "cnt1": 837, "diff_0": 837, "diff_1": 837, "config0": 837, "config1": 837, "l0": 837, "decoder__l0": 837, "decoder__l1": 837, "encoder__l0": 837, "encoder__l1": 837, "l0__b": 837, "l0__w": 837, "l1__b": 837, "l1__w": 837, "printabl": 837, "foresight": 837, "untidili": 837, "update_ag": 837, "normalize_img": 837, "img_max": 837, "reduce_max": 837, "img_min": 837, "reduce_min": 837, "img_rang": 837, "agent_posit": 837, "agent_veloc": 837, "agent_cam_front_rgb": 837, "agent_cam_front_depth": 837, "agent_cam_rear_rgb": 837, "agent_cam_rear_depth": 837, "agent_cam_lidar": 837, "camera": 837, "front_rgb": 837, "front_depth": 837, "rear_rgb": 837, "rear_depth": 837, "lidar": 837, "rgb": 837, "rear": 837, "veloc": 837, "cam": 837, "cam_max": 837, "cam_min": 837, "cam_rang": 837, "five": 837, "allud": [837, 845], "perman": 837, "straightforward": 837, "dataload": 837, "_cnt": 837, "img_": 837, "_dataset_s": 837, "_batch_siz": 837, "_count": [837, 838], "__next__": 837, "img_fnam": 837, "loaded_img": 837, "batch_slic": 837, "0145": 837, "addbackward0": 837, "_create_vari": 838, "_input_channel": 838, "_output_channel": 838, "_w_shape": 838, "_b_shape": 838, "_with_bia": 838, "764": 838, "872": 838, "211": 838, "439": 838, "nightmar": 838, "overcom": 838, "v1": 838, "key0": 838, "linear3": 838, "v2": 838, "preced": [838, 845], "_w_init": 838, "_b_init": 838, "misnom": 838, "saw": 838, "_beta1": 838, "_beta2": 838, "_epsilon": 838, "_mw": 838, "_vw": 838, "_first_pass": 838, "_should_trac": 838, "new_v": 838, "_lr": 838, "_inplac": 838, "_stop_gradi": 838, "sparse_funct": 839, "vital": [839, 844], "_linear": 839, "jax_graph": 839, "to_backend": 839, "thinli": 839, "to_haiku_modul": 839, "loss_fn_t": 839, "without_apply_rng": 839, "update_rul": 839, "tree_multimap": 839, "trax": [839, 846], "objax": [839, 846], "matur": [840, 845, 855], "doubt": 840, "grate": 840, "probe": 840, "lock": 840, "gold": 840, "dex": 840, "tricki": [840, 842], "predictor": 840, "tight": 840, "dispatch": [840, 855, 858], "ast": 840, "autodiff": 840, "shine": 840, "merci": 840, "compet": [840, 855], "parallelis": 840, "spmd": 840, "mixtur": 840, "expert": 840, "sophist": 840, "depart": 840, "hundr": 840, "thousand": 840, "broadli": [840, 861], "supplementari": 840, "reusabl": [840, 853, 855], "fanci": [840, 855], "fusion": [840, 859], "lose": 840, "pmap": 840, "eventu": 840, "supplement": 840, "backdoor": 840, "callback": 840, "door": 840, "somewhat": [840, 855], "outsourc": 840, "ivy_root": 841, "pem": 841, "api_kei": 841, "asap": 841, "nail": 842, "scientist": 842, "correl": 842, "collabor": [843, 844, 845], "consortium": [843, 845], "grown": 844, "rapidli": 844, "shareabl": 844, "outdat": 844, "newest": 844, "prototyp": [844, 855], "obsolet": [844, 846], "invent": 844, "simultan": [844, 846], "runner": 844, "principl": [844, 853, 855, 858], "2006": 844, "cloth": 844, "forgiven": 845, "eyebrow": 845, "somehow": 845, "industri": [845, 855, 857], "funni": 845, "comic": 845, "charger": 845, "instant": 845, "contrari": 845, "bumpi": 845, "road": 845, "technologi": [845, 853, 857], "pcie": 845, "motherboard": 845, "raid": 845, "bluetooth": 845, "wireless": 845, "btx": 845, "sata": 845, "tcp": 845, "ip": 845, "smtp": 845, "send": [845, 860], "gmail": 845, "outlook": 845, "innov": 845, "growth": [845, 858], "necess": 845, "2015": [845, 855], "aros": 845, "mission": [845, 857], "ourselv": [845, 861], "quansight": [845, 861], "compani": [845, 851], "apach": [845, 857, 861], "onnx": [845, 853, 861], "cupi": [845, 855, 862], "modin": 845, "spyder": 845, "octoml": [845, 861], "sponsor": 845, "lg": 845, "electron": 845, "shaw": 845, "pursuit": 845, "complianc": 845, "convinc": 845, "celebr": 845, "abund": 846, "streamlin": [846, 858], "awesom": 846, "love": 846, "slew": 846, "inevit": [846, 856], "erron": 846, "poor": 846, "spin": 846, "sake": 846, "wouldn": 846, "frantic": 846, "lucid": 846, "honk": 846, "hasn": 846, "spend": [846, 855], "sonnet": 846, "trainer": [846, 862], "quo": 846, "dopamin": 846, "ignit": 846, "catalyst": 846, "lightn": 846, "fastai": 846, "publicli": [848, 849, 850], "logger": 848, "arg_stateful_idx": 848, "kwarg_stateful_idx": 848, "include_gener": 848, "array_cach": 848, "return_backend_traced_fn": 848, "lazygraph": [848, 849, 850], "sum_j": 848, "traced_fn": 848, "impos": 848, "comp_func": 848, "trade": 848, "bake": 848, "cont": 848, "new_attribut": 848, "resnet50": 848, "breed": 848, "autoimageprocessor": [848, 849], "resnetforimageclassif": [848, 849], "traced_graph": 848, "predicted_label": 848, "debug_mod": 849, "rough": 849, "transformed_with_st": 849, "bigger": 849, "hf": 849, "tf_model": 849, "tf_input": 849, "transpile_kwarg": 850, "transpiled_func": 850, "unified_func": 850, "rwork": 851, "vendor": [851, 857], "complimentari": [851, 861], "acycl": [851, 856], "insert_numb": 852, "insert_t": 852, "scaffold": [853, 861], "heart": 853, "toolchain": [853, 858], "assembli": [853, 860, 861], "idl": 853, "middl": 853, "emit": 853, "gnu": [853, 858], "broader": 853, "heterogen": 853, "aid": 853, "coprocessor": 853, "programm": [853, 860], "gate": 853, "onednn": 853, "sit": [853, 856, 861], "tandem": 853, "possess": 853, "khrono": [854, 860], "appl": 854, "coremltool": 854, "albeit": 854, "promin": 855, "abbrevi": 855, "laboratori": 855, "proprietari": [855, 859, 860], "mathwork": 855, "commerci": 855, "1984": 855, "toolbox": 855, "mupad": 855, "simulink": 855, "graphic": [855, 859, 860], "simul": 855, "million": [855, 858], "worldwid": 855, "scienc": [855, 857], "econom": 855, "2001": 855, "od": 855, "solver": 855, "cython": 855, "friendli": 855, "2002": 855, "lua": 855, "luajit": 855, "idiap": 855, "epfl": 855, "2005": 855, "numarrai": 855, "cpython": 855, "partli": 855, "2007": 855, "forest": 855, "boost": 855, "dbscan": 855, "inbuilt": 855, "esqu": 855, "aesara": 855, "datafram": 855, "2012": 855, "Its": 855, "polymorph": 855, "mpi": 855, "openmp": 855, "glue": 855, "jaot": 855, "nasa": 855, "cern": 855, "climat": 855, "allianc": 855, "influenti": 855, "2014": 855, "scala": 855, "ship": 855, "forgiv": 855, "decemb": 855, "announc": 855, "mainten": 855, "v7": 855, "meaning": 855, "2016": 855, "imper": 855, "amazon": 855, "traction": 855, "cognit": [855, 862], "grade": 855, "dnn": 855, "backpropag": 855, "succumb": 855, "came": 855, "monitor": 855, "practition": [855, 859, 860, 861], "hobbyist": 855, "tremend": 855, "ecosystem": 855, "gear": 855, "batteri": 855, "zygot": 855, "jl": 855, "workload": 855, "daggerflux": 855, "frontier": 855, "hessian": 855, "2018": 855, "lightweight": [855, 862], "shortcom": 855, "barrier": 855, "inexperienc": 855, "underdevelop": 855, "fanat": 855, "ounc": 855, "infanc": 855, "emerg": 855, "nich": 855, "mobil": 855, "lite": 855, "enterpris": 855, "reinvent": [855, 857], "inertia": 855, "creator": [855, 857], "paszk": 855, "hi": 855, "bulk": 855, "haskel": 855, "dataflow": 856, "trace_modul": 856, "scriptfunct": 856, "scriptmodul": 856, "fake": 856, "proxi": 856, "graphmodul": 856, "travi": 857, "oliph": 857, "leader": 857, "cornerston": 857, "numba": 857, "numfocu": 857, "pydata": 857, "confer": 857, "consult": 857, "servic": 857, "expertis": 857, "devop": 857, "mlop": 857, "dashboard": 857, "startup": 857, "mlir": [857, 858, 861], "Their": 857, "held": 857, "privileg": 857, "presum": 857, "llvm": [857, 860], "founder": 857, "tvm": [857, 861], "sustain": 857, "empow": 857, "har": 857, "burden": 857, "benchmark": 857, "precompil": 858, "executor": 858, "julia": [858, 861], "fsf": 858, "gpl": 858, "biggest": [858, 861], "throughput": 859, "gpgpu": 859, "classic": 860, "sycl": 860, "dpc": 860, "processor": 860, "maco": 860, "oneapi": 860, "ia": 860, "aka": 860, "xeon": 860, "gen9": 860, "xe": 860, "arria": 860, "gx": 860, "fpga": 860, "lofti": 861, "ambit": 861, "realm": 861, "bedrock": 861, "flux": 861, "bite": 861, "chew": 861, "eagerpi": 861, "tensorli": 861, "thinc": 861, "neuropod": 861, "fx": 861, "retrain": 861, "closer": 861, "greatli": 861, "modular": 861, "anywher": 861, "theano": 862, "plaidml": 862, "partial_svd": 862, "excel": 862, "subsystem": 862}, "objects": {"ivy.Array": [[215, 0, 1, "", "abs"], [216, 0, 1, "", "acos"], [217, 0, 1, "", "acosh"], [602, 0, 1, "", "adam_step"], [603, 0, 1, "", "adam_update"], [382, 0, 1, "", "adaptive_avg_pool1d"], [383, 0, 1, "", "adaptive_avg_pool2d"], [384, 0, 1, "", "adaptive_max_pool2d"], [218, 0, 1, "", "add"], [416, 0, 1, "", "adjoint"], [754, 0, 1, "", "all"], [522, 0, 1, "", "all_equal"], [328, 0, 1, "", "allclose"], [329, 0, 1, "", "amax"], [330, 0, 1, "", "amin"], [219, 0, 1, "", "angle"], [755, 0, 1, "", "any"], [731, 0, 1, "", "argmax"], [732, 0, 1, "", "argmin"], [740, 0, 1, "", "argsort"], [733, 0, 1, "", "argwhere"], [525, 0, 1, "", "array_equal"], [449, 0, 1, "", "as_strided"], [123, 0, 1, "", "asarray"], [220, 0, 1, "", "asin"], [221, 0, 1, "", "asinh"], [526, 0, 1, "", "assert_supports_inplace"], [450, 0, 1, "", "associative_scan"], [147, 0, 1, "", "astype"], [222, 0, 1, "", "atan"], [223, 0, 1, "", "atan2"], [224, 0, 1, "", "atanh"], [451, 0, 1, "", "atleast_1d"], [452, 0, 1, "", "atleast_2d"], [453, 0, 1, "", "atleast_3d"], [386, 0, 1, "", "avg_pool1d"], [387, 0, 1, "", "avg_pool2d"], [388, 0, 1, "", "avg_pool3d"], [489, 0, 1, "", "batch_norm"], [417, 0, 1, "", "batched_outer"], [496, 0, 1, "", "bernoulli"], [497, 0, 1, "", "beta"], [331, 0, 1, "", "binarizer"], [683, 0, 1, "", "binary_cross_entropy"], [508, 0, 1, "", "bincount"], [225, 0, 1, "", "bitwise_and"], [226, 0, 1, "", "bitwise_invert"], [227, 0, 1, "", "bitwise_left_shift"], [228, 0, 1, "", "bitwise_or"], [229, 0, 1, "", "bitwise_right_shift"], [230, 0, 1, "", "bitwise_xor"], [306, 0, 1, "", "blackman_window"], [148, 0, 1, "", "broadcast_arrays"], [149, 0, 1, "", "broadcast_to"], [150, 0, 1, "", "can_cast"], [231, 0, 1, "", "ceil"], [290, 0, 1, "", "celu"], [653, 0, 1, "", "cholesky"], [686, 0, 1, "", "clip"], [528, 0, 1, "", "clip_matrix_norm"], [529, 0, 1, "", "clip_vector_norm"], [457, 0, 1, "", "column_stack"], [687, 0, 1, "", "concat"], [458, 0, 1, "", "concat_from_sequence"], [418, 0, 1, "", "cond"], [332, 0, 1, "", "conj"], [688, 0, 1, "", "constant_pad"], [637, 0, 1, "", "conv1d"], [638, 0, 1, "", "conv1d_transpose"], [639, 0, 1, "", "conv2d"], [640, 0, 1, "", "conv2d_transpose"], [641, 0, 1, "", "conv3d"], [642, 0, 1, "", "conv3d_transpose"], [124, 0, 1, "", "copy_array"], [333, 0, 1, "", "copysign"], [509, 0, 1, "", "corrcoef"], [232, 0, 1, "", "cos"], [233, 0, 1, "", "cosh"], [334, 0, 1, "", "count_nonzero"], [510, 0, 1, "", "cov"], [654, 0, 1, "", "cross"], [684, 0, 1, "", "cross_entropy"], [511, 0, 1, "", "cummax"], [512, 0, 1, "", "cummin"], [744, 0, 1, "", "cumprod"], [745, 0, 1, "", "cumsum"], [389, 0, 1, "", "dct"], [532, 0, 1, "", "default"], [234, 0, 1, "", "deg2rad"], [645, 0, 1, "", "depthwise_conv2d"], [655, 0, 1, "", "det"], [192, 0, 1, "", "dev"], [390, 0, 1, "", "dft"], [656, 0, 1, "", "diag"], [419, 0, 1, "", "diagflat"], [657, 0, 1, "", "diagonal"], [335, 0, 1, "", "diff"], [336, 0, 1, "", "digamma"], [498, 0, 1, "", "dirichlet"], [235, 0, 1, "", "divide"], [420, 0, 1, "", "dot"], [646, 0, 1, "", "dropout"], [391, 0, 1, "", "dropout1d"], [392, 0, 1, "", "dropout2d"], [393, 0, 1, "", "dropout3d"], [459, 0, 1, "", "dsplit"], [460, 0, 1, "", "dstack"], [158, 0, 1, "", "dtype"], [421, 0, 1, "", "eig"], [659, 0, 1, "", "eigh"], [422, 0, 1, "", "eigh_tridiagonal"], [423, 0, 1, "", "eigvals"], [660, 0, 1, "", "eigvalsh"], [533, 0, 1, "", "einops_rearrange"], [534, 0, 1, "", "einops_reduce"], [535, 0, 1, "", "einops_repeat"], [746, 0, 1, "", "einsum"], [291, 0, 1, "", "elu"], [394, 0, 1, "", "embedding"], [126, 0, 1, "", "empty_like"], [236, 0, 1, "", "equal"], [237, 0, 1, "", "erf"], [337, 0, 1, "", "erfc"], [536, 0, 1, "", "exists"], [238, 0, 1, "", "exp"], [239, 0, 1, "", "exp2"], [461, 0, 1, "", "expand"], [689, 0, 1, "", "expand_dims"], [240, 0, 1, "", "expm1"], [307, 0, 1, "", "eye_like"], [395, 0, 1, "", "fft"], [396, 0, 1, "", "fft2"], [462, 0, 1, "", "fill_diagonal"], [160, 0, 1, "", "finfo"], [338, 0, 1, "", "fix"], [463, 0, 1, "", "flatten"], [690, 0, 1, "", "flip"], [464, 0, 1, "", "fliplr"], [465, 0, 1, "", "flipud"], [339, 0, 1, "", "float_power"], [241, 0, 1, "", "floor"], [242, 0, 1, "", "floor_divide"], [340, 0, 1, "", "fmax"], [243, 0, 1, "", "fmin"], [244, 0, 1, "", "fmod"], [466, 0, 1, "", "fold"], [537, 0, 1, "", "fourier_encode"], [341, 0, 1, "", "frexp"], [128, 0, 1, "", "from_dlpack"], [131, 0, 1, "", "full_like"], [499, 0, 1, "", "gamma"], [540, 0, 1, "", "gather"], [541, 0, 1, "", "gather_nd"], [245, 0, 1, "", "gcd"], [105, 0, 1, "", "gelu"], [424, 0, 1, "", "general_inner_product"], [544, 0, 1, "", "get_num_dims"], [342, 0, 1, "", "gradient"], [606, 0, 1, "", "gradient_descent_update"], [246, 0, 1, "", "greater"], [247, 0, 1, "", "greater_equal"], [490, 0, 1, "", "group_norm"], [292, 0, 1, "", "hardshrink"], [106, 0, 1, "", "hardswish"], [293, 0, 1, "", "hardtanh"], [546, 0, 1, "", "has_nans"], [467, 0, 1, "", "heaviside"], [425, 0, 1, "", "higher_order_moment"], [513, 0, 1, "", "histogram"], [468, 0, 1, "", "hsplit"], [469, 0, 1, "", "hstack"], [442, 0, 1, "", "huber_loss"], [343, 0, 1, "", "hypot"], [470, 0, 1, "", "i0"], [399, 0, 1, "", "idct"], [400, 0, 1, "", "ifft"], [401, 0, 1, "", "ifftn"], [514, 0, 1, "", "igamma"], [163, 0, 1, "", "iinfo"], [248, 0, 1, "", "imag"], [426, 0, 1, "", "initialize_tucker"], [661, 0, 1, "", "inner"], [548, 0, 1, "", "inplace_decrement"], [549, 0, 1, "", "inplace_increment"], [550, 0, 1, "", "inplace_update"], [491, 0, 1, "", "instance_norm"], [403, 0, 1, "", "interpolate"], [662, 0, 1, "", "inv"], [552, 0, 1, "", "is_array"], [166, 0, 1, "", "is_bool_dtype"], [168, 0, 1, "", "is_float_dtype"], [170, 0, 1, "", "is_int_dtype"], [553, 0, 1, "", "is_ivy_array"], [554, 0, 1, "", "is_ivy_container"], [556, 0, 1, "", "is_native_array"], [172, 0, 1, "", "is_uint_dtype"], [344, 0, 1, "", "isclose"], [249, 0, 1, "", "isfinite"], [557, 0, 1, "", "isin"], [250, 0, 1, "", "isinf"], [251, 0, 1, "", "isnan"], [252, 0, 1, "", "isreal"], [559, 0, 1, "", "itemsize"], [443, 0, 1, "", "kl_div"], [428, 0, 1, "", "kron"], [444, 0, 1, "", "l1_loss"], [492, 0, 1, "", "l1_normalize"], [493, 0, 1, "", "l2_normalize"], [608, 0, 1, "", "lamb_update"], [609, 0, 1, "", "lars_update"], [724, 0, 1, "", "layer_norm"], [253, 0, 1, "", "lcm"], [345, 0, 1, "", "ldexp"], [107, 0, 1, "", "leaky_relu"], [346, 0, 1, "", "lerp"], [254, 0, 1, "", "less"], [255, 0, 1, "", "less_equal"], [503, 0, 1, "", "lexsort"], [347, 0, 1, "", "lgamma"], [647, 0, 1, "", "linear"], [132, 0, 1, "", "linspace"], [256, 0, 1, "", "log"], [257, 0, 1, "", "log10"], [258, 0, 1, "", "log1p"], [259, 0, 1, "", "log2"], [445, 0, 1, "", "log_poisson_loss"], [108, 0, 1, "", "log_softmax"], [260, 0, 1, "", "logaddexp"], [261, 0, 1, "", "logaddexp2"], [262, 0, 1, "", "logical_and"], [263, 0, 1, "", "logical_not"], [264, 0, 1, "", "logical_or"], [265, 0, 1, "", "logical_xor"], [294, 0, 1, "", "logit"], [295, 0, 1, "", "logsigmoid"], [133, 0, 1, "", "logspace"], [495, 0, 1, "", "lp_normalize"], [648, 0, 1, "", "lstm_update"], [430, 0, 1, "", "make_svd_non_negative"], [664, 0, 1, "", "matmul"], [471, 0, 1, "", "matricize"], [431, 0, 1, "", "matrix_exp"], [665, 0, 1, "", "matrix_norm"], [666, 0, 1, "", "matrix_power"], [667, 0, 1, "", "matrix_rank"], [668, 0, 1, "", "matrix_transpose"], [747, 0, 1, "", "max"], [404, 0, 1, "", "max_pool1d"], [405, 0, 1, "", "max_pool2d"], [406, 0, 1, "", "max_pool3d"], [407, 0, 1, "", "max_unpool1d"], [266, 0, 1, "", "maximum"], [748, 0, 1, "", "mean"], [515, 0, 1, "", "median"], [313, 0, 1, "", "mel_weight_matrix"], [134, 0, 1, "", "meshgrid"], [749, 0, 1, "", "min"], [267, 0, 1, "", "minimum"], [109, 0, 1, "", "mish"], [432, 0, 1, "", "mode_dot"], [348, 0, 1, "", "modf"], [472, 0, 1, "", "moveaxis"], [741, 0, 1, "", "msort"], [433, 0, 1, "", "multi_dot"], [649, 0, 1, "", "multi_head_attention"], [434, 0, 1, "", "multi_mode_dot"], [725, 0, 1, "", "multinomial"], [268, 0, 1, "", "multiply"], [269, 0, 1, "", "nan_to_num"], [516, 0, 1, "", "nanmean"], [517, 0, 1, "", "nanmedian"], [518, 0, 1, "", "nanmin"], [519, 0, 1, "", "nanprod"], [349, 0, 1, "", "nansum"], [135, 0, 1, "", "native_array"], [270, 0, 1, "", "negative"], [350, 0, 1, "", "nextafter"], [734, 0, 1, "", "nonzero"], [271, 0, 1, "", "not_equal"], [136, 0, 1, "", "one_hot"], [138, 0, 1, "", "ones_like"], [610, 0, 1, "", "optimizer_update"], [521, 0, 1, "", "optional_get_element"], [669, 0, 1, "", "outer"], [473, 0, 1, "", "pad"], [474, 0, 1, "", "partial_fold"], [475, 0, 1, "", "partial_tensor_to_vec"], [435, 0, 1, "", "partial_tucker"], [476, 0, 1, "", "partial_unfold"], [477, 0, 1, "", "partial_vec_to_tensor"], [691, 0, 1, "", "permute_dims"], [670, 0, 1, "", "pinv"], [500, 0, 1, "", "poisson"], [446, 0, 1, "", "poisson_nll_loss"], [272, 0, 1, "", "positive"], [273, 0, 1, "", "pow"], [296, 0, 1, "", "prelu"], [750, 0, 1, "", "prod"], [478, 0, 1, "", "put_along_axis"], [671, 0, 1, "", "qr"], [520, 0, 1, "", "quantile"], [274, 0, 1, "", "rad2deg"], [726, 0, 1, "", "randint"], [727, 0, 1, "", "random_normal"], [728, 0, 1, "", "random_uniform"], [275, 0, 1, "", "real"], [276, 0, 1, "", "reciprocal"], [356, 0, 1, "", "reduce"], [410, 0, 1, "", "reduce_window"], [110, 0, 1, "", "relu"], [297, 0, 1, "", "relu6"], [277, 0, 1, "", "remainder"], [692, 0, 1, "", "repeat"], [693, 0, 1, "", "reshape"], [175, 0, 1, "", "result_type"], [411, 0, 1, "", "rfft"], [412, 0, 1, "", "rfftn"], [694, 0, 1, "", "roll"], [479, 0, 1, "", "rot90"], [278, 0, 1, "", "round"], [652, 0, 1, "", "scaled_dot_product_attention"], [298, 0, 1, "", "scaled_tanh"], [564, 0, 1, "", "scatter_flat"], [565, 0, 1, "", "scatter_nd"], [742, 0, 1, "", "searchsorted"], [299, 0, 1, "", "selu"], [578, 0, 1, "", "shape"], [730, 0, 1, "", "shuffle"], [111, 0, 1, "", "sigmoid"], [279, 0, 1, "", "sign"], [351, 0, 1, "", "signbit"], [300, 0, 1, "", "silu"], [280, 0, 1, "", "sin"], [352, 0, 1, "", "sinc"], [281, 0, 1, "", "sinh"], [414, 0, 1, "", "sliding_window"], [672, 0, 1, "", "slogdet"], [447, 0, 1, "", "smooth_l1_loss"], [448, 0, 1, "", "soft_margin_loss"], [480, 0, 1, "", "soft_thresholding"], [112, 0, 1, "", "softmax"], [113, 0, 1, "", "softplus"], [301, 0, 1, "", "softshrink"], [673, 0, 1, "", "solve"], [743, 0, 1, "", "sort"], [685, 0, 1, "", "sparse_cross_entropy"], [353, 0, 1, "", "sparsify_tensor"], [695, 0, 1, "", "split"], [282, 0, 1, "", "sqrt"], [283, 0, 1, "", "square"], [696, 0, 1, "", "squeeze"], [579, 0, 1, "", "stable_divide"], [580, 0, 1, "", "stable_pow"], [697, 0, 1, "", "stack"], [751, 0, 1, "", "std"], [415, 0, 1, "", "stft"], [611, 0, 1, "", "stop_gradient"], [581, 0, 1, "", "strides"], [284, 0, 1, "", "subtract"], [752, 0, 1, "", "sum"], [582, 0, 1, "", "supports_inplace_updates"], [674, 0, 1, "", "svd"], [437, 0, 1, "", "svd_flip"], [675, 0, 1, "", "svdvals"], [698, 0, 1, "", "swapaxes"], [481, 0, 1, "", "take"], [482, 0, 1, "", "take_along_axis"], [285, 0, 1, "", "tan"], [286, 0, 1, "", "tanh"], [303, 0, 1, "", "tanhshrink"], [438, 0, 1, "", "tensor_train"], [676, 0, 1, "", "tensordot"], [677, 0, 1, "", "tensorsolve"], [304, 0, 1, "", "threshold"], [305, 0, 1, "", "thresholded_relu"], [699, 0, 1, "", "tile"], [209, 0, 1, "", "to_device"], [584, 0, 1, "", "to_list"], [586, 0, 1, "", "to_numpy"], [587, 0, 1, "", "to_scalar"], [483, 0, 1, "", "top_k"], [678, 0, 1, "", "trace"], [287, 0, 1, "", "trapz"], [140, 0, 1, "", "tril"], [323, 0, 1, "", "trilu"], [484, 0, 1, "", "trim_zeros"], [141, 0, 1, "", "triu"], [288, 0, 1, "", "trunc"], [289, 0, 1, "", "trunc_divide"], [439, 0, 1, "", "truncated_svd"], [440, 0, 1, "", "tt_matrix_to_tensor"], [441, 0, 1, "", "tucker"], [485, 0, 1, "", "unfold"], [736, 0, 1, "", "unique_all"], [486, 0, 1, "", "unique_consecutive"], [737, 0, 1, "", "unique_counts"], [738, 0, 1, "", "unique_inverse"], [739, 0, 1, "", "unique_values"], [501, 0, 1, "", "unravel_index"], [324, 0, 1, "", "unsorted_segment_mean"], [325, 0, 1, "", "unsorted_segment_min"], [326, 0, 1, "", "unsorted_segment_sum"], [700, 0, 1, "", "unstack"], [600, 0, 1, "", "value_is_nan"], [679, 0, 1, "", "vander"], [753, 0, 1, "", "var"], [680, 0, 1, "", "vecdot"], [681, 0, 1, "", "vector_norm"], [682, 0, 1, "", "vector_to_skew_symmetric_matrix"], [487, 0, 1, "", "vsplit"], [488, 0, 1, "", "vstack"], [735, 0, 1, "", "where"], [354, 0, 1, "", "xlogy"], [701, 0, 1, "", "zero_pad"], [144, 0, 1, "", "zeros_like"], [355, 0, 1, "", "zeta"]], "ivy": [[621, 1, 1, "", "ArrayMode"], [617, 1, 1, "", "DefaultComplexDtype"], [618, 1, 1, "", "DefaultDevice"], [617, 1, 1, "", "DefaultDtype"], [617, 1, 1, "", "DefaultFloatDtype"], [617, 1, 1, "", "DefaultIntDtype"], [617, 1, 1, "", "DefaultUintDtype"], [379, 1, 1, "", "NativeSparseArray"], [616, 1, 1, "", "NestedSequence"], [621, 1, 1, "", "PreciseMode"], [618, 1, 1, "", "Profiler"], [379, 1, 1, "", "SparseArray"], [215, 2, 1, "", "abs"], [216, 2, 1, "", "acos"], [217, 2, 1, "", "acosh"], [622, 2, 1, "", "adam_step"], [622, 2, 1, "", "adam_update"], [382, 2, 1, "", "adaptive_avg_pool1d"], [383, 2, 1, "", "adaptive_avg_pool2d"], [384, 2, 1, "", "adaptive_max_pool2d"], [218, 2, 1, "", "add"], [369, 2, 1, "", "adjoint"], [635, 2, 1, "", "all"], [621, 2, 1, "", "all_equal"], [628, 2, 1, "", "all_nested_indices"], [365, 2, 1, "", "allclose"], [365, 2, 1, "", "amax"], [365, 2, 1, "", "amin"], [219, 2, 1, "", "angle"], [635, 2, 1, "", "any"], [616, 2, 1, "", "arange"], [385, 2, 1, "", "area_interpolate"], [621, 2, 1, "", "arg_info"], [621, 2, 1, "", "arg_names"], [631, 2, 1, "", "argmax"], [631, 2, 1, "", "argmin"], [633, 2, 1, "", "argsort"], [631, 2, 1, "", "argwhere"], [616, 2, 1, "", "array"], [621, 2, 1, "", "array_equal"], [188, 2, 1, "", "as_ivy_dev"], [617, 2, 1, "", "as_ivy_dtype"], [189, 2, 1, "", "as_native_dev"], [617, 2, 1, "", "as_native_dtype"], [371, 2, 1, "", "as_strided"], [616, 2, 1, "", "asarray"], [220, 2, 1, "", "asin"], [221, 2, 1, "", "asinh"], [621, 2, 1, "", "assert_supports_inplace"], [371, 2, 1, "", "associative_scan"], [617, 2, 1, "", "astype"], [222, 2, 1, "", "atan"], [223, 2, 1, "", "atan2"], [224, 2, 1, "", "atanh"], [371, 2, 1, "", "atleast_1d"], [371, 2, 1, "", "atleast_2d"], [371, 2, 1, "", "atleast_3d"], [386, 2, 1, "", "avg_pool1d"], [387, 2, 1, "", "avg_pool2d"], [388, 2, 1, "", "avg_pool3d"], [374, 2, 1, "", "batch_norm"], [369, 2, 1, "", "batched_outer"], [375, 2, 1, "", "bernoulli"], [375, 2, 1, "", "beta"], [365, 2, 1, "", "binarizer"], [625, 2, 1, "", "binary_cross_entropy"], [380, 2, 1, "", "bincount"], [367, 2, 1, "", "bind_custom_gradient_function"], [225, 2, 1, "", "bitwise_and"], [226, 2, 1, "", "bitwise_invert"], [227, 2, 1, "", "bitwise_left_shift"], [228, 2, 1, "", "bitwise_or"], [229, 2, 1, "", "bitwise_right_shift"], [230, 2, 1, "", "bitwise_xor"], [306, 2, 1, "", "blackman_window"], [617, 2, 1, "", "broadcast_arrays"], [371, 2, 1, "", "broadcast_shapes"], [617, 2, 1, "", "broadcast_to"], [621, 2, 1, "", "cache_fn"], [617, 2, 1, "", "can_cast"], [231, 2, 1, "", "ceil"], [290, 2, 1, "", "celu"], [617, 2, 1, "", "check_float"], [371, 2, 1, "", "check_scalar"], [624, 2, 1, "", "cholesky"], [371, 2, 1, "", "choose"], [190, 2, 1, "", "clear_cached_mem_on_dev"], [626, 2, 1, "", "clip"], [621, 2, 1, "", "clip_matrix_norm"], [621, 2, 1, "", "clip_vector_norm"], [617, 2, 1, "", "closest_valid_dtype"], [615, 2, 1, "", "cmp_is"], [615, 2, 1, "", "cmp_isnot"], [371, 2, 1, "", "column_stack"], [626, 2, 1, "", "concat"], [371, 2, 1, "", "concat_from_sequence"], [369, 2, 1, "", "cond"], [365, 2, 1, "", "conj"], [626, 2, 1, "", "constant_pad"], [621, 2, 1, "", "container_types"], [636, 2, 1, "", "conv"], [637, 2, 1, "", "conv1d"], [638, 2, 1, "", "conv1d_transpose"], [639, 2, 1, "", "conv2d"], [640, 2, 1, "", "conv2d_transpose"], [641, 2, 1, "", "conv3d"], [642, 2, 1, "", "conv3d_transpose"], [643, 2, 1, "", "conv_general_dilated"], [623, 2, 1, "", "conv_general_transpose"], [616, 2, 1, "", "copy_array"], [628, 2, 1, "", "copy_nest"], [365, 2, 1, "", "copysign"], [380, 2, 1, "", "corrcoef"], [232, 2, 1, "", "cos"], [233, 2, 1, "", "cosh"], [365, 2, 1, "", "count_nonzero"], [380, 2, 1, "", "cov"], [624, 2, 1, "", "cross"], [625, 2, 1, "", "cross_entropy"], [380, 2, 1, "", "cummax"], [380, 2, 1, "", "cummin"], [634, 2, 1, "", "cumprod"], [634, 2, 1, "", "cumsum"], [621, 2, 1, "", "current_backend_str"], [389, 2, 1, "", "dct"], [621, 2, 1, "", "default"], [617, 2, 1, "", "default_complex_dtype"], [191, 2, 1, "", "default_device"], [617, 2, 1, "", "default_dtype"], [617, 2, 1, "", "default_float_dtype"], [617, 2, 1, "", "default_int_dtype"], [617, 2, 1, "", "default_uint_dtype"], [234, 2, 1, "", "deg2rad"], [623, 2, 1, "", "depthwise_conv2d"], [624, 2, 1, "", "det"], [192, 2, 1, "", "dev"], [193, 2, 1, "", "dev_util"], [390, 2, 1, "", "dft"], [624, 2, 1, "", "diag"], [369, 2, 1, "", "diagflat"], [624, 2, 1, "", "diagonal"], [365, 2, 1, "", "diff"], [365, 2, 1, "", "digamma"], [375, 2, 1, "", "dirichlet"], [235, 2, 1, "", "divide"], [369, 2, 1, "", "dot"], [623, 2, 1, "", "dropout"], [391, 2, 1, "", "dropout1d"], [392, 2, 1, "", "dropout2d"], [393, 2, 1, "", "dropout3d"], [371, 2, 1, "", "dsplit"], [371, 2, 1, "", "dstack"], [617, 2, 1, "", "dtype"], [617, 2, 1, "", "dtype_bits"], [628, 2, 1, "", "duplicate_array_index_chains"], [614, 6, 1, "", "e"], [369, 2, 1, "", "eig"], [624, 2, 1, "", "eigh"], [369, 2, 1, "", "eigh_tridiagonal"], [369, 2, 1, "", "eigvals"], [624, 2, 1, "", "eigvalsh"], [621, 2, 1, "", "einops_rearrange"], [621, 2, 1, "", "einops_reduce"], [621, 2, 1, "", "einops_repeat"], [634, 2, 1, "", "einsum"], [291, 2, 1, "", "elu"], [394, 2, 1, "", "embedding"], [616, 2, 1, "", "empty"], [616, 2, 1, "", "empty_like"], [236, 2, 1, "", "equal"], [237, 2, 1, "", "erf"], [365, 2, 1, "", "erfc"], [622, 2, 1, "", "execute_with_gradients"], [621, 2, 1, "", "exists"], [238, 2, 1, "", "exp"], [239, 2, 1, "", "exp2"], [371, 2, 1, "", "expand"], [626, 2, 1, "", "expand_dims"], [240, 2, 1, "", "expm1"], [616, 2, 1, "", "eye"], [307, 2, 1, "", "eye_like"], [395, 2, 1, "", "fft"], [396, 2, 1, "", "fft2"], [371, 2, 1, "", "fill_diagonal"], [617, 2, 1, "", "finfo"], [365, 2, 1, "", "fix"], [371, 2, 1, "", "flatten"], [626, 2, 1, "", "flip"], [371, 2, 1, "", "fliplr"], [371, 2, 1, "", "flipud"], [365, 2, 1, "", "float_power"], [241, 2, 1, "", "floor"], [242, 2, 1, "", "floor_divide"], [365, 2, 1, "", "fmax"], [243, 2, 1, "", "fmin"], [244, 2, 1, "", "fmod"], [371, 2, 1, "", "fold"], [627, 2, 1, "", "fomaml_step"], [615, 2, 1, "", "for_loop"], [621, 2, 1, "", "fourier_encode"], [365, 2, 1, "", "frexp"], [616, 2, 1, "", "from_dlpack"], [616, 2, 1, "", "frombuffer"], [616, 2, 1, "", "full"], [616, 2, 1, "", "full_like"], [194, 2, 1, "", "function_supported_devices"], [621, 2, 1, "", "function_supported_devices_and_dtypes"], [617, 2, 1, "", "function_supported_dtypes"], [195, 2, 1, "", "function_unsupported_devices"], [621, 2, 1, "", "function_unsupported_devices_and_dtypes"], [617, 2, 1, "", "function_unsupported_dtypes"], [375, 2, 1, "", "gamma"], [621, 2, 1, "", "gather"], [621, 2, 1, "", "gather_nd"], [245, 2, 1, "", "gcd"], [613, 2, 1, "", "gelu"], [369, 2, 1, "", "general_inner_product"], [397, 2, 1, "", "generate_einsum_equation"], [621, 2, 1, "", "get_all_arrays_in_memory"], [196, 2, 1, "", "get_all_ivy_arrays_on_dev"], [398, 2, 1, "", "get_interpolate_kernel"], [621, 2, 1, "", "get_item"], [621, 2, 1, "", "get_num_dims"], [621, 2, 1, "", "get_referrers_recursive"], [197, 2, 1, "", "gpu_is_available"], [622, 2, 1, "", "grad"], [365, 2, 1, "", "gradient"], [622, 2, 1, "", "gradient_descent_update"], [246, 2, 1, "", "greater"], [247, 2, 1, "", "greater_equal"], [374, 2, 1, "", "group_norm"], [308, 2, 1, "", "hamming_window"], [198, 2, 1, "", "handle_soft_device_variable"], [309, 2, 1, "", "hann_window"], [292, 2, 1, "", "hardshrink"], [613, 2, 1, "", "hardswish"], [293, 2, 1, "", "hardtanh"], [621, 2, 1, "", "has_nans"], [371, 2, 1, "", "heaviside"], [369, 2, 1, "", "higher_order_moment"], [380, 2, 1, "", "histogram"], [371, 2, 1, "", "hsplit"], [371, 2, 1, "", "hstack"], [370, 2, 1, "", "huber_loss"], [365, 2, 1, "", "hypot"], [371, 2, 1, "", "i0"], [399, 2, 1, "", "idct"], [615, 2, 1, "", "if_else"], [400, 2, 1, "", "ifft"], [401, 2, 1, "", "ifftn"], [380, 2, 1, "", "igamma"], [617, 2, 1, "", "iinfo"], [248, 2, 1, "", "imag"], [628, 2, 1, "", "index_nest"], [310, 2, 1, "", "indices"], [614, 6, 1, "", "inf"], [617, 2, 1, "", "infer_default_dtype"], [369, 2, 1, "", "initialize_tucker"], [624, 2, 1, "", "inner"], [621, 2, 1, "", "inplace_arrays_supported"], [621, 2, 1, "", "inplace_decrement"], [621, 2, 1, "", "inplace_increment"], [621, 2, 1, "", "inplace_update"], [621, 2, 1, "", "inplace_variables_supported"], [628, 2, 1, "", "insert_into_nest_at_index"], [628, 2, 1, "", "insert_into_nest_at_indices"], [374, 2, 1, "", "instance_norm"], [402, 2, 1, "", "interp"], [403, 2, 1, "", "interpolate"], [624, 2, 1, "", "inv"], [617, 2, 1, "", "invalid_dtype"], [378, 2, 1, "", "invert_permutation"], [621, 2, 1, "", "is_array"], [617, 2, 1, "", "is_bool_dtype"], [617, 2, 1, "", "is_complex_dtype"], [617, 2, 1, "", "is_float_dtype"], [617, 2, 1, "", "is_hashable_dtype"], [617, 2, 1, "", "is_int_dtype"], [621, 2, 1, "", "is_ivy_array"], [621, 2, 1, "", "is_ivy_container"], [621, 2, 1, "", "is_ivy_nested_array"], [379, 2, 1, "", "is_ivy_sparse_array"], [621, 2, 1, "", "is_native_array"], [617, 2, 1, "", "is_native_dtype"], [379, 2, 1, "", "is_native_sparse_array"], [617, 2, 1, "", "is_uint_dtype"], [365, 2, 1, "", "isclose"], [249, 2, 1, "", "isfinite"], [621, 2, 1, "", "isin"], [250, 2, 1, "", "isinf"], [251, 2, 1, "", "isnan"], [252, 2, 1, "", "isreal"], [621, 2, 1, "", "isscalar"], [621, 2, 1, "", "itemsize"], [622, 2, 1, "", "jac"], [367, 2, 1, "", "jvp"], [311, 2, 1, "", "kaiser_bessel_derived_window"], [312, 2, 1, "", "kaiser_window"], [369, 2, 1, "", "khatri_rao"], [370, 2, 1, "", "kl_div"], [369, 2, 1, "", "kron"], [369, 2, 1, "", "kronecker"], [370, 2, 1, "", "l1_loss"], [374, 2, 1, "", "l1_normalize"], [374, 2, 1, "", "l2_normalize"], [622, 2, 1, "", "lamb_update"], [622, 2, 1, "", "lars_update"], [629, 2, 1, "", "layer_norm"], [253, 2, 1, "", "lcm"], [365, 2, 1, "", "ldexp"], [613, 2, 1, "", "leaky_relu"], [365, 2, 1, "", "lerp"], [254, 2, 1, "", "less"], [255, 2, 1, "", "less_equal"], [378, 2, 1, "", "lexsort"], [365, 2, 1, "", "lgamma"], [623, 2, 1, "", "linear"], [616, 2, 1, "", "linspace"], [635, 2, 1, "", "load"], [374, 2, 1, "", "local_response_norm"], [256, 2, 1, "", "log"], [257, 2, 1, "", "log10"], [258, 2, 1, "", "log1p"], [259, 2, 1, "", "log2"], [370, 2, 1, "", "log_poisson_loss"], [613, 2, 1, "", "log_softmax"], [260, 2, 1, "", "logaddexp"], [261, 2, 1, "", "logaddexp2"], [262, 2, 1, "", "logical_and"], [263, 2, 1, "", "logical_not"], [264, 2, 1, "", "logical_or"], [265, 2, 1, "", "logical_xor"], [294, 2, 1, "", "logit"], [295, 2, 1, "", "logsigmoid"], [616, 2, 1, "", "logspace"], [374, 2, 1, "", "lp_normalize"], [623, 2, 1, "", "lstm_update"], [624, 2, 1, "", "lu_factor"], [369, 2, 1, "", "make_svd_non_negative"], [627, 2, 1, "", "maml_step"], [628, 2, 1, "", "map"], [628, 2, 1, "", "map_nest_at_index"], [628, 2, 1, "", "map_nest_at_indices"], [621, 2, 1, "", "match_kwargs"], [624, 2, 1, "", "matmul"], [371, 2, 1, "", "matricize"], [369, 2, 1, "", "matrix_exp"], [624, 2, 1, "", "matrix_norm"], [624, 2, 1, "", "matrix_power"], [624, 2, 1, "", "matrix_rank"], [624, 2, 1, "", "matrix_transpose"], [634, 2, 1, "", "max"], [404, 2, 1, "", "max_pool1d"], [405, 2, 1, "", "max_pool2d"], [406, 2, 1, "", "max_pool3d"], [407, 2, 1, "", "max_unpool1d"], [266, 2, 1, "", "maximum"], [634, 2, 1, "", "mean"], [380, 2, 1, "", "median"], [313, 2, 1, "", "mel_weight_matrix"], [616, 2, 1, "", "meshgrid"], [634, 2, 1, "", "min"], [267, 2, 1, "", "minimum"], [613, 2, 1, "", "mish"], [369, 2, 1, "", "mode_dot"], [365, 2, 1, "", "modf"], [371, 2, 1, "", "moveaxis"], [633, 2, 1, "", "msort"], [369, 2, 1, "", "multi_dot"], [623, 2, 1, "", "multi_head_attention"], [628, 2, 1, "", "multi_index_nest"], [369, 2, 1, "", "multi_mode_dot"], [630, 2, 1, "", "multinomial"], [268, 2, 1, "", "multiply"], [621, 2, 1, "", "multiprocessing"], [614, 6, 1, "", "nan"], [269, 2, 1, "", "nan_to_num"], [380, 2, 1, "", "nanmean"], [380, 2, 1, "", "nanmedian"], [380, 2, 1, "", "nanmin"], [380, 2, 1, "", "nanprod"], [365, 2, 1, "", "nansum"], [616, 2, 1, "", "native_array"], [379, 2, 1, "", "native_sparse_array"], [379, 2, 1, "", "native_sparse_array_to_indices_values_and_shape"], [314, 2, 1, "", "ndenumerate"], [315, 2, 1, "", "ndindex"], [408, 2, 1, "", "nearest_interpolate"], [270, 2, 1, "", "negative"], [628, 2, 1, "", "nested_any"], [628, 2, 1, "", "nested_argwhere"], [628, 2, 1, "", "nested_map"], [628, 2, 1, "", "nested_multi_map"], [614, 6, 1, "", "newaxis"], [365, 2, 1, "", "nextafter"], [623, 2, 1, "", "nms"], [631, 2, 1, "", "nonzero"], [271, 2, 1, "", "not_equal"], [621, 2, 1, "", "num_arrays_in_memory"], [199, 2, 1, "", "num_cpu_cores"], [200, 2, 1, "", "num_gpus"], [201, 2, 1, "", "num_ivy_arrays_on_dev"], [616, 2, 1, "", "one_hot"], [616, 2, 1, "", "ones"], [616, 2, 1, "", "ones_like"], [622, 2, 1, "", "optimizer_update"], [381, 2, 1, "", "optional_get_element"], [624, 2, 1, "", "outer"], [371, 2, 1, "", "pad"], [371, 2, 1, "", "partial_fold"], [371, 2, 1, "", "partial_tensor_to_vec"], [369, 2, 1, "", "partial_tucker"], [371, 2, 1, "", "partial_unfold"], [371, 2, 1, "", "partial_vec_to_tensor"], [202, 2, 1, "", "percent_used_mem_on_dev"], [626, 2, 1, "", "permute_dims"], [614, 6, 1, "", "pi"], [624, 2, 1, "", "pinv"], [375, 2, 1, "", "poisson"], [370, 2, 1, "", "poisson_nll_loss"], [316, 2, 1, "", "polyval"], [409, 2, 1, "", "pool"], [272, 2, 1, "", "positive"], [273, 2, 1, "", "pow"], [296, 2, 1, "", "prelu"], [621, 2, 1, "", "print_all_arrays_in_memory"], [203, 2, 1, "", "print_all_ivy_arrays_on_dev"], [634, 2, 1, "", "prod"], [617, 2, 1, "", "promote_types"], [617, 2, 1, "", "promote_types_of_inputs"], [628, 2, 1, "", "prune_empty"], [628, 2, 1, "", "prune_nest_at_index"], [628, 2, 1, "", "prune_nest_at_indices"], [371, 2, 1, "", "put_along_axis"], [624, 2, 1, "", "qr"], [380, 2, 1, "", "quantile"], [274, 2, 1, "", "rad2deg"], [630, 2, 1, "", "randint"], [317, 2, 1, "", "random_cp"], [630, 2, 1, "", "random_normal"], [318, 2, 1, "", "random_parafac2"], [319, 2, 1, "", "random_tr"], [320, 2, 1, "", "random_tt"], [321, 2, 1, "", "random_tucker"], [630, 2, 1, "", "random_uniform"], [275, 2, 1, "", "real"], [276, 2, 1, "", "reciprocal"], [366, 2, 1, "", "reduce"], [410, 2, 1, "", "reduce_window"], [613, 2, 1, "", "relu"], [297, 2, 1, "", "relu6"], [277, 2, 1, "", "remainder"], [626, 2, 1, "", "repeat"], [627, 2, 1, "", "reptile_step"], [626, 2, 1, "", "reshape"], [617, 2, 1, "", "result_type"], [411, 2, 1, "", "rfft"], [412, 2, 1, "", "rfftn"], [413, 2, 1, "", "rnn"], [623, 2, 1, "", "roi_align"], [626, 2, 1, "", "roll"], [371, 2, 1, "", "rot90"], [278, 2, 1, "", "round"], [635, 2, 1, "", "save"], [623, 2, 1, "", "scaled_dot_product_attention"], [298, 2, 1, "", "scaled_tanh"], [621, 2, 1, "", "scatter_flat"], [621, 2, 1, "", "scatter_nd"], [633, 2, 1, "", "searchsorted"], [630, 2, 1, "", "seed"], [299, 2, 1, "", "selu"], [621, 2, 1, "", "set_array_mode"], [617, 2, 1, "", "set_default_complex_dtype"], [204, 2, 1, "", "set_default_device"], [617, 2, 1, "", "set_default_dtype"], [617, 2, 1, "", "set_default_float_dtype"], [617, 2, 1, "", "set_default_int_dtype"], [617, 2, 1, "", "set_default_uint_dtype"], [621, 2, 1, "", "set_exception_trace_mode"], [621, 2, 1, "", "set_inplace_mode"], [621, 2, 1, "", "set_item"], [621, 2, 1, "", "set_min_base"], [621, 2, 1, "", "set_min_denominator"], [628, 2, 1, "", "set_nest_at_index"], [628, 2, 1, "", "set_nest_at_indices"], [621, 2, 1, "", "set_nestable_mode"], [621, 2, 1, "", "set_precise_mode"], [621, 2, 1, "", "set_queue_timeout"], [621, 2, 1, "", "set_shape_array_mode"], [621, 2, 1, "", "set_show_func_wrapper_trace_mode"], [205, 2, 1, "", "set_soft_device_mode"], [206, 2, 1, "", "set_split_factor"], [621, 2, 1, "", "set_tmp_dir"], [621, 2, 1, "", "shape"], [630, 2, 1, "", "shuffle"], [613, 2, 1, "", "sigmoid"], [279, 2, 1, "", "sign"], [365, 2, 1, "", "signbit"], [300, 2, 1, "", "silu"], [280, 2, 1, "", "sin"], [365, 2, 1, "", "sinc"], [281, 2, 1, "", "sinh"], [368, 2, 1, "", "sliding_window"], [624, 2, 1, "", "slogdet"], [370, 2, 1, "", "smooth_l1_loss"], [370, 2, 1, "", "soft_margin_loss"], [371, 2, 1, "", "soft_thresholding"], [613, 2, 1, "", "softmax"], [613, 2, 1, "", "softplus"], [301, 2, 1, "", "softshrink"], [613, 2, 1, "", "softsign"], [624, 2, 1, "", "solve"], [369, 2, 1, "", "solve_triangular"], [633, 2, 1, "", "sort"], [625, 2, 1, "", "sparse_cross_entropy"], [365, 2, 1, "", "sparsify_tensor"], [626, 2, 1, "", "split"], [207, 2, 1, "", "split_factor"], [208, 2, 1, "", "split_func_call"], [282, 2, 1, "", "sqrt"], [283, 2, 1, "", "square"], [626, 2, 1, "", "squeeze"], [621, 2, 1, "", "stable_divide"], [621, 2, 1, "", "stable_pow"], [626, 2, 1, "", "stack"], [302, 2, 1, "", "stanh"], [634, 2, 1, "", "std"], [368, 2, 1, "", "stft"], [622, 2, 1, "", "stop_gradient"], [621, 2, 1, "", "strides"], [284, 2, 1, "", "subtract"], [634, 2, 1, "", "sum"], [621, 2, 1, "", "supports_inplace_updates"], [624, 2, 1, "", "svd"], [369, 2, 1, "", "svd_flip"], [624, 2, 1, "", "svdvals"], [626, 2, 1, "", "swapaxes"], [371, 2, 1, "", "take"], [371, 2, 1, "", "take_along_axis"], [285, 2, 1, "", "tan"], [286, 2, 1, "", "tanh"], [303, 2, 1, "", "tanhshrink"], [369, 2, 1, "", "tensor_train"], [624, 2, 1, "", "tensordot"], [624, 2, 1, "", "tensorsolve"], [304, 2, 1, "", "threshold"], [305, 2, 1, "", "thresholded_relu"], [626, 2, 1, "", "tile"], [209, 2, 1, "", "to_device"], [616, 2, 1, "", "to_dlpack"], [621, 2, 1, "", "to_ivy_shape"], [621, 2, 1, "", "to_list"], [621, 2, 1, "", "to_native_shape"], [621, 2, 1, "", "to_numpy"], [621, 2, 1, "", "to_scalar"], [371, 2, 1, "", "top_k"], [210, 2, 1, "", "total_mem_on_dev"], [211, 2, 1, "", "tpu_is_available"], [624, 2, 1, "", "trace"], [848, 2, 1, "", "trace_graph"], [849, 2, 1, "", "transpile"], [287, 2, 1, "", "trapz"], [616, 2, 1, "", "tril"], [362, 2, 1, "", "tril_indices"], [362, 2, 1, "", "trilu"], [371, 2, 1, "", "trim_zeros"], [616, 2, 1, "", "triu"], [616, 2, 1, "", "triu_indices"], [288, 2, 1, "", "trunc"], [289, 2, 1, "", "trunc_divide"], [369, 2, 1, "", "truncated_svd"], [621, 2, 1, "", "try_else_none"], [615, 2, 1, "", "try_except"], [369, 2, 1, "", "tt_matrix_to_tensor"], [369, 2, 1, "", "tucker"], [617, 2, 1, "", "type_promote_arrays"], [371, 2, 1, "", "unfold"], [850, 2, 1, "", "unify"], [632, 2, 1, "", "unique_all"], [371, 2, 1, "", "unique_consecutive"], [632, 2, 1, "", "unique_counts"], [632, 2, 1, "", "unique_inverse"], [632, 2, 1, "", "unique_values"], [376, 2, 1, "", "unravel_index"], [621, 2, 1, "", "unset_array_mode"], [617, 2, 1, "", "unset_default_complex_dtype"], [212, 2, 1, "", "unset_default_device"], [617, 2, 1, "", "unset_default_dtype"], [184, 2, 1, "", "unset_default_float_dtype"], [185, 2, 1, "", "unset_default_int_dtype"], [186, 2, 1, "", "unset_default_uint_dtype"], [621, 2, 1, "", "unset_exception_trace_mode"], [621, 2, 1, "", "unset_inplace_mode"], [621, 2, 1, "", "unset_min_base"], [621, 2, 1, "", "unset_min_denominator"], [621, 2, 1, "", "unset_nestable_mode"], [621, 2, 1, "", "unset_precise_mode"], [621, 2, 1, "", "unset_queue_timeout"], [621, 2, 1, "", "unset_shape_array_mode"], [621, 2, 1, "", "unset_show_func_wrapper_trace_mode"], [213, 2, 1, "", "unset_soft_device_mode"], [621, 2, 1, "", "unset_tmp_dir"], [362, 2, 1, "", "unsorted_segment_mean"], [362, 2, 1, "", "unsorted_segment_min"], [362, 2, 1, "", "unsorted_segment_sum"], [626, 2, 1, "", "unstack"], [214, 2, 1, "", "used_mem_on_dev"], [187, 2, 1, "", "valid_dtype"], [622, 2, 1, "", "value_and_grad"], [621, 2, 1, "", "value_is_nan"], [624, 2, 1, "", "vander"], [634, 2, 1, "", "var"], [624, 2, 1, "", "vecdot"], [624, 2, 1, "", "vector_norm"], [624, 2, 1, "", "vector_to_skew_symmetric_matrix"], [367, 2, 1, "", "vjp"], [621, 2, 1, "", "vmap"], [362, 2, 1, "", "vorbis_window"], [371, 2, 1, "", "vsplit"], [371, 2, 1, "", "vstack"], [631, 2, 1, "", "where"], [615, 2, 1, "", "while_loop"], [365, 2, 1, "", "xlogy"], [626, 2, 1, "", "zero_pad"], [616, 2, 1, "", "zeros"], [616, 2, 1, "", "zeros_like"], [365, 2, 1, "", "zeta"]], "ivy.Container": [[215, 0, 1, "", "abs"], [216, 0, 1, "", "acos"], [217, 0, 1, "", "acosh"], [602, 0, 1, "", "adam_step"], [603, 0, 1, "", "adam_update"], [382, 0, 1, "", "adaptive_avg_pool1d"], [383, 0, 1, "", "adaptive_avg_pool2d"], [384, 0, 1, "", "adaptive_max_pool2d"], [218, 0, 1, "", "add"], [416, 0, 1, "", "adjoint"], [754, 0, 1, "", "all"], [522, 0, 1, "", "all_equal"], [328, 0, 1, "", "allclose"], [329, 0, 1, "", "amax"], [330, 0, 1, "", "amin"], [219, 0, 1, "", "angle"], [755, 0, 1, "", "any"], [731, 0, 1, "", "argmax"], [732, 0, 1, "", "argmin"], [740, 0, 1, "", "argsort"], [733, 0, 1, "", "argwhere"], [525, 0, 1, "", "array_equal"], [449, 0, 1, "", "as_strided"], [123, 0, 1, "", "asarray"], [220, 0, 1, "", "asin"], [221, 0, 1, "", "asinh"], [526, 0, 1, "", "assert_supports_inplace"], [450, 0, 1, "", "associative_scan"], [147, 0, 1, "", "astype"], [222, 0, 1, "", "atan"], [223, 0, 1, "", "atan2"], [224, 0, 1, "", "atanh"], [451, 0, 1, "", "atleast_1d"], [452, 0, 1, "", "atleast_2d"], [453, 0, 1, "", "atleast_3d"], [386, 0, 1, "", "avg_pool1d"], [387, 0, 1, "", "avg_pool2d"], [388, 0, 1, "", "avg_pool3d"], [489, 0, 1, "", "batch_norm"], [417, 0, 1, "", "batched_outer"], [496, 0, 1, "", "bernoulli"], [497, 0, 1, "", "beta"], [331, 0, 1, "", "binarizer"], [683, 0, 1, "", "binary_cross_entropy"], [508, 0, 1, "", "bincount"], [225, 0, 1, "", "bitwise_and"], [226, 0, 1, "", "bitwise_invert"], [227, 0, 1, "", "bitwise_left_shift"], [228, 0, 1, "", "bitwise_or"], [229, 0, 1, "", "bitwise_right_shift"], [230, 0, 1, "", "bitwise_xor"], [306, 0, 1, "", "blackman_window"], [148, 0, 1, "", "broadcast_arrays"], [454, 0, 1, "", "broadcast_shapes"], [149, 0, 1, "", "broadcast_to"], [150, 0, 1, "", "can_cast"], [231, 0, 1, "", "ceil"], [290, 0, 1, "", "celu"], [653, 0, 1, "", "cholesky"], [686, 0, 1, "", "clip"], [528, 0, 1, "", "clip_matrix_norm"], [529, 0, 1, "", "clip_vector_norm"], [457, 0, 1, "", "column_stack"], [687, 0, 1, "", "concat"], [458, 0, 1, "", "concat_from_sequence"], [418, 0, 1, "", "cond"], [332, 0, 1, "", "conj"], [688, 0, 1, "", "constant_pad"], [637, 0, 1, "", "conv1d"], [638, 0, 1, "", "conv1d_transpose"], [639, 0, 1, "", "conv2d"], [640, 0, 1, "", "conv2d_transpose"], [641, 0, 1, "", "conv3d"], [642, 0, 1, "", "conv3d_transpose"], [124, 0, 1, "", "copy_array"], [333, 0, 1, "", "copysign"], [509, 0, 1, "", "corrcoef"], [232, 0, 1, "", "cos"], [233, 0, 1, "", "cosh"], [334, 0, 1, "", "count_nonzero"], [510, 0, 1, "", "cov"], [654, 0, 1, "", "cross"], [684, 0, 1, "", "cross_entropy"], [511, 0, 1, "", "cummax"], [512, 0, 1, "", "cummin"], [744, 0, 1, "", "cumprod"], [745, 0, 1, "", "cumsum"], [389, 0, 1, "", "dct"], [234, 0, 1, "", "deg2rad"], [645, 0, 1, "", "depthwise_conv2d"], [655, 0, 1, "", "det"], [192, 0, 1, "", "dev"], [390, 0, 1, "", "dft"], [656, 0, 1, "", "diag"], [419, 0, 1, "", "diagflat"], [657, 0, 1, "", "diagonal"], [335, 0, 1, "", "diff"], [336, 0, 1, "", "digamma"], [498, 0, 1, "", "dirichlet"], [235, 0, 1, "", "divide"], [420, 0, 1, "", "dot"], [646, 0, 1, "", "dropout"], [391, 0, 1, "", "dropout1d"], [392, 0, 1, "", "dropout2d"], [393, 0, 1, "", "dropout3d"], [459, 0, 1, "", "dsplit"], [460, 0, 1, "", "dstack"], [158, 0, 1, "", "dtype"], [421, 0, 1, "", "eig"], [659, 0, 1, "", "eigh"], [422, 0, 1, "", "eigh_tridiagonal"], [423, 0, 1, "", "eigvals"], [660, 0, 1, "", "eigvalsh"], [533, 0, 1, "", "einops_rearrange"], [534, 0, 1, "", "einops_reduce"], [535, 0, 1, "", "einops_repeat"], [746, 0, 1, "", "einsum"], [291, 0, 1, "", "elu"], [394, 0, 1, "", "embedding"], [126, 0, 1, "", "empty_like"], [236, 0, 1, "", "equal"], [237, 0, 1, "", "erf"], [337, 0, 1, "", "erfc"], [536, 0, 1, "", "exists"], [238, 0, 1, "", "exp"], [239, 0, 1, "", "exp2"], [461, 0, 1, "", "expand"], [689, 0, 1, "", "expand_dims"], [240, 0, 1, "", "expm1"], [307, 0, 1, "", "eye_like"], [395, 0, 1, "", "fft"], [462, 0, 1, "", "fill_diagonal"], [160, 0, 1, "", "finfo"], [338, 0, 1, "", "fix"], [463, 0, 1, "", "flatten"], [690, 0, 1, "", "flip"], [464, 0, 1, "", "fliplr"], [465, 0, 1, "", "flipud"], [339, 0, 1, "", "float_power"], [241, 0, 1, "", "floor"], [242, 0, 1, "", "floor_divide"], [340, 0, 1, "", "fmax"], [243, 0, 1, "", "fmin"], [244, 0, 1, "", "fmod"], [466, 0, 1, "", "fold"], [537, 0, 1, "", "fourier_encode"], [341, 0, 1, "", "frexp"], [128, 0, 1, "", "from_dlpack"], [129, 0, 1, "", "frombuffer"], [131, 0, 1, "", "full_like"], [499, 0, 1, "", "gamma"], [540, 0, 1, "", "gather"], [541, 0, 1, "", "gather_nd"], [245, 0, 1, "", "gcd"], [105, 0, 1, "", "gelu"], [424, 0, 1, "", "general_inner_product"], [544, 0, 1, "", "get_num_dims"], [342, 0, 1, "", "gradient"], [606, 0, 1, "", "gradient_descent_update"], [246, 0, 1, "", "greater"], [247, 0, 1, "", "greater_equal"], [490, 0, 1, "", "group_norm"], [308, 0, 1, "", "hamming_window"], [309, 0, 1, "", "hann_window"], [292, 0, 1, "", "hardshrink"], [106, 0, 1, "", "hardswish"], [293, 0, 1, "", "hardtanh"], [546, 0, 1, "", "has_nans"], [467, 0, 1, "", "heaviside"], [425, 0, 1, "", "higher_order_moment"], [513, 0, 1, "", "histogram"], [468, 0, 1, "", "hsplit"], [469, 0, 1, "", "hstack"], [442, 0, 1, "", "huber_loss"], [343, 0, 1, "", "hypot"], [470, 0, 1, "", "i0"], [399, 0, 1, "", "idct"], [400, 0, 1, "", "ifft"], [401, 0, 1, "", "ifftn"], [514, 0, 1, "", "igamma"], [163, 0, 1, "", "iinfo"], [248, 0, 1, "", "imag"], [426, 0, 1, "", "initialize_tucker"], [661, 0, 1, "", "inner"], [548, 0, 1, "", "inplace_decrement"], [549, 0, 1, "", "inplace_increment"], [550, 0, 1, "", "inplace_update"], [491, 0, 1, "", "instance_norm"], [403, 0, 1, "", "interpolate"], [662, 0, 1, "", "inv"], [502, 0, 1, "", "invert_permutation"], [552, 0, 1, "", "is_array"], [166, 0, 1, "", "is_bool_dtype"], [167, 0, 1, "", "is_complex_dtype"], [168, 0, 1, "", "is_float_dtype"], [170, 0, 1, "", "is_int_dtype"], [553, 0, 1, "", "is_ivy_array"], [556, 0, 1, "", "is_native_array"], [172, 0, 1, "", "is_uint_dtype"], [344, 0, 1, "", "isclose"], [249, 0, 1, "", "isfinite"], [557, 0, 1, "", "isin"], [250, 0, 1, "", "isinf"], [251, 0, 1, "", "isnan"], [252, 0, 1, "", "isreal"], [559, 0, 1, "", "itemsize"], [311, 0, 1, "", "kaiser_bessel_derived_window"], [312, 0, 1, "", "kaiser_window"], [443, 0, 1, "", "kl_div"], [428, 0, 1, "", "kron"], [444, 0, 1, "", "l1_loss"], [492, 0, 1, "", "l1_normalize"], [493, 0, 1, "", "l2_normalize"], [608, 0, 1, "", "lamb_update"], [609, 0, 1, "", "lars_update"], [724, 0, 1, "", "layer_norm"], [253, 0, 1, "", "lcm"], [345, 0, 1, "", "ldexp"], [107, 0, 1, "", "leaky_relu"], [346, 0, 1, "", "lerp"], [254, 0, 1, "", "less"], [255, 0, 1, "", "less_equal"], [503, 0, 1, "", "lexsort"], [647, 0, 1, "", "linear"], [132, 0, 1, "", "linspace"], [256, 0, 1, "", "log"], [257, 0, 1, "", "log10"], [258, 0, 1, "", "log1p"], [259, 0, 1, "", "log2"], [445, 0, 1, "", "log_poisson_loss"], [108, 0, 1, "", "log_softmax"], [260, 0, 1, "", "logaddexp"], [261, 0, 1, "", "logaddexp2"], [262, 0, 1, "", "logical_and"], [263, 0, 1, "", "logical_not"], [264, 0, 1, "", "logical_or"], [265, 0, 1, "", "logical_xor"], [294, 0, 1, "", "logit"], [295, 0, 1, "", "logsigmoid"], [133, 0, 1, "", "logspace"], [495, 0, 1, "", "lp_normalize"], [648, 0, 1, "", "lstm_update"], [430, 0, 1, "", "make_svd_non_negative"], [664, 0, 1, "", "matmul"], [471, 0, 1, "", "matricize"], [431, 0, 1, "", "matrix_exp"], [665, 0, 1, "", "matrix_norm"], [666, 0, 1, "", "matrix_power"], [667, 0, 1, "", "matrix_rank"], [668, 0, 1, "", "matrix_transpose"], [747, 0, 1, "", "max"], [404, 0, 1, "", "max_pool1d"], [405, 0, 1, "", "max_pool2d"], [406, 0, 1, "", "max_pool3d"], [407, 0, 1, "", "max_unpool1d"], [266, 0, 1, "", "maximum"], [748, 0, 1, "", "mean"], [515, 0, 1, "", "median"], [313, 0, 1, "", "mel_weight_matrix"], [134, 0, 1, "", "meshgrid"], [749, 0, 1, "", "min"], [267, 0, 1, "", "minimum"], [109, 0, 1, "", "mish"], [432, 0, 1, "", "mode_dot"], [348, 0, 1, "", "modf"], [472, 0, 1, "", "moveaxis"], [741, 0, 1, "", "msort"], [433, 0, 1, "", "multi_dot"], [649, 0, 1, "", "multi_head_attention"], [434, 0, 1, "", "multi_mode_dot"], [725, 0, 1, "", "multinomial"], [268, 0, 1, "", "multiply"], [269, 0, 1, "", "nan_to_num"], [516, 0, 1, "", "nanmean"], [517, 0, 1, "", "nanmedian"], [518, 0, 1, "", "nanmin"], [519, 0, 1, "", "nanprod"], [349, 0, 1, "", "nansum"], [135, 0, 1, "", "native_array"], [270, 0, 1, "", "negative"], [350, 0, 1, "", "nextafter"], [734, 0, 1, "", "nonzero"], [271, 0, 1, "", "not_equal"], [136, 0, 1, "", "one_hot"], [138, 0, 1, "", "ones_like"], [610, 0, 1, "", "optimizer_update"], [521, 0, 1, "", "optional_get_element"], [669, 0, 1, "", "outer"], [473, 0, 1, "", "pad"], [474, 0, 1, "", "partial_fold"], [475, 0, 1, "", "partial_tensor_to_vec"], [435, 0, 1, "", "partial_tucker"], [476, 0, 1, "", "partial_unfold"], [477, 0, 1, "", "partial_vec_to_tensor"], [691, 0, 1, "", "permute_dims"], [670, 0, 1, "", "pinv"], [500, 0, 1, "", "poisson"], [446, 0, 1, "", "poisson_nll_loss"], [316, 0, 1, "", "polyval"], [272, 0, 1, "", "positive"], [273, 0, 1, "", "pow"], [296, 0, 1, "", "prelu"], [750, 0, 1, "", "prod"], [478, 0, 1, "", "put_along_axis"], [671, 0, 1, "", "qr"], [520, 0, 1, "", "quantile"], [274, 0, 1, "", "rad2deg"], [726, 0, 1, "", "randint"], [727, 0, 1, "", "random_normal"], [728, 0, 1, "", "random_uniform"], [275, 0, 1, "", "real"], [276, 0, 1, "", "reciprocal"], [356, 0, 1, "", "reduce"], [410, 0, 1, "", "reduce_window"], [110, 0, 1, "", "relu"], [297, 0, 1, "", "relu6"], [277, 0, 1, "", "remainder"], [692, 0, 1, "", "repeat"], [693, 0, 1, "", "reshape"], [175, 0, 1, "", "result_type"], [411, 0, 1, "", "rfft"], [412, 0, 1, "", "rfftn"], [694, 0, 1, "", "roll"], [479, 0, 1, "", "rot90"], [278, 0, 1, "", "round"], [652, 0, 1, "", "scaled_dot_product_attention"], [298, 0, 1, "", "scaled_tanh"], [564, 0, 1, "", "scatter_flat"], [565, 0, 1, "", "scatter_nd"], [742, 0, 1, "", "searchsorted"], [299, 0, 1, "", "selu"], [730, 0, 1, "", "shuffle"], [111, 0, 1, "", "sigmoid"], [279, 0, 1, "", "sign"], [351, 0, 1, "", "signbit"], [300, 0, 1, "", "silu"], [280, 0, 1, "", "sin"], [352, 0, 1, "", "sinc"], [281, 0, 1, "", "sinh"], [414, 0, 1, "", "sliding_window"], [672, 0, 1, "", "slogdet"], [447, 0, 1, "", "smooth_l1_loss"], [448, 0, 1, "", "soft_margin_loss"], [480, 0, 1, "", "soft_thresholding"], [112, 0, 1, "", "softmax"], [113, 0, 1, "", "softplus"], [301, 0, 1, "", "softshrink"], [673, 0, 1, "", "solve"], [743, 0, 1, "", "sort"], [685, 0, 1, "", "sparse_cross_entropy"], [353, 0, 1, "", "sparsify_tensor"], [695, 0, 1, "", "split"], [282, 0, 1, "", "sqrt"], [283, 0, 1, "", "square"], [696, 0, 1, "", "squeeze"], [579, 0, 1, "", "stable_divide"], [580, 0, 1, "", "stable_pow"], [697, 0, 1, "", "stack"], [751, 0, 1, "", "std"], [415, 0, 1, "", "stft"], [611, 0, 1, "", "stop_gradient"], [581, 0, 1, "", "strides"], [284, 0, 1, "", "subtract"], [752, 0, 1, "", "sum"], [582, 0, 1, "", "supports_inplace_updates"], [674, 0, 1, "", "svd"], [437, 0, 1, "", "svd_flip"], [675, 0, 1, "", "svdvals"], [698, 0, 1, "", "swapaxes"], [481, 0, 1, "", "take"], [482, 0, 1, "", "take_along_axis"], [285, 0, 1, "", "tan"], [286, 0, 1, "", "tanh"], [303, 0, 1, "", "tanhshrink"], [438, 0, 1, "", "tensor_train"], [676, 0, 1, "", "tensordot"], [677, 0, 1, "", "tensorsolve"], [304, 0, 1, "", "threshold"], [305, 0, 1, "", "thresholded_relu"], [699, 0, 1, "", "tile"], [209, 0, 1, "", "to_device"], [584, 0, 1, "", "to_list"], [586, 0, 1, "", "to_numpy"], [587, 0, 1, "", "to_scalar"], [483, 0, 1, "", "top_k"], [678, 0, 1, "", "trace"], [287, 0, 1, "", "trapz"], [140, 0, 1, "", "tril"], [322, 0, 1, "", "tril_indices"], [323, 0, 1, "", "trilu"], [484, 0, 1, "", "trim_zeros"], [141, 0, 1, "", "triu"], [142, 0, 1, "", "triu_indices"], [288, 0, 1, "", "trunc"], [289, 0, 1, "", "trunc_divide"], [439, 0, 1, "", "truncated_svd"], [440, 0, 1, "", "tt_matrix_to_tensor"], [441, 0, 1, "", "tucker"], [485, 0, 1, "", "unfold"], [736, 0, 1, "", "unique_all"], [486, 0, 1, "", "unique_consecutive"], [737, 0, 1, "", "unique_counts"], [738, 0, 1, "", "unique_inverse"], [739, 0, 1, "", "unique_values"], [501, 0, 1, "", "unravel_index"], [324, 0, 1, "", "unsorted_segment_mean"], [325, 0, 1, "", "unsorted_segment_min"], [326, 0, 1, "", "unsorted_segment_sum"], [700, 0, 1, "", "unstack"], [600, 0, 1, "", "value_is_nan"], [679, 0, 1, "", "vander"], [753, 0, 1, "", "var"], [680, 0, 1, "", "vecdot"], [681, 0, 1, "", "vector_norm"], [682, 0, 1, "", "vector_to_skew_symmetric_matrix"], [327, 0, 1, "", "vorbis_window"], [487, 0, 1, "", "vsplit"], [488, 0, 1, "", "vstack"], [735, 0, 1, "", "where"], [354, 0, 1, "", "xlogy"], [701, 0, 1, "", "zero_pad"], [144, 0, 1, "", "zeros_like"], [355, 0, 1, "", "zeta"]], "ivy.data_classes.array": [[46, 3, 0, "-", "activations"], [97, 3, 0, "-", "array"], [47, 3, 0, "-", "conversions"], [48, 3, 0, "-", "creation"], [49, 3, 0, "-", "data_type"], [50, 3, 0, "-", "device"], [51, 3, 0, "-", "elementwise"], [52, 3, 0, "-", "experimental"], [53, 3, 0, "-", "general"], [54, 3, 0, "-", "gradients"], [55, 3, 0, "-", "image"], [56, 3, 0, "-", "layers"], [57, 3, 0, "-", "linear_algebra"], [58, 3, 0, "-", "losses"], [59, 3, 0, "-", "manipulation"], [60, 3, 0, "-", "norms"], [61, 3, 0, "-", "random"], [62, 3, 0, "-", "searching"], [63, 3, 0, "-", "set"], [64, 3, 0, "-", "sorting"], [65, 3, 0, "-", "statistical"], [66, 3, 0, "-", "utility"], [67, 3, 0, "-", "wrapping"]], "ivy.data_classes.array.activations": [[46, 1, 1, "", "_ArrayWithActivations"]], "ivy.data_classes.array.activations._ArrayWithActivations": [[46, 4, 1, "", "_abc_impl"], [46, 0, 1, "", "gelu"], [46, 0, 1, "", "hardswish"], [46, 0, 1, "", "leaky_relu"], [46, 0, 1, "", "log_softmax"], [46, 0, 1, "", "mish"], [46, 0, 1, "", "relu"], [46, 0, 1, "", "sigmoid"], [46, 0, 1, "", "softmax"], [46, 0, 1, "", "softplus"]], "ivy.data_classes.array.array": [[97, 1, 1, "", "Array"]], "ivy.data_classes.array.array.Array": [[97, 5, 1, "", "T"], [97, 0, 1, "", "__abs__"], [97, 0, 1, "", "__add__"], [97, 0, 1, "", "__eq__"], [97, 0, 1, "", "__ge__"], [97, 0, 1, "", "__gt__"], [97, 0, 1, "", "__init__"], [97, 0, 1, "", "__le__"], [97, 0, 1, "", "__lt__"], [97, 0, 1, "", "__ne__"], [97, 0, 1, "", "__pow__"], [97, 0, 1, "", "__radd__"], [97, 0, 1, "", "__rrshift__"], [97, 0, 1, "", "__rshift__"], [97, 0, 1, "", "__rsub__"], [97, 0, 1, "", "__sub__"], [97, 0, 1, "", "__truediv__"], [97, 0, 1, "", "__xor__"], [97, 5, 1, "", "backend"], [97, 5, 1, "", "base"], [97, 5, 1, "", "data"], [97, 5, 1, "", "device"], [97, 5, 1, "", "dtype"], [97, 5, 1, "", "dynamic_backend"], [97, 5, 1, "", "imag"], [97, 5, 1, "", "itemsize"], [97, 5, 1, "", "mT"], [97, 5, 1, "", "ndim"], [97, 5, 1, "", "real"], [97, 5, 1, "", "shape"], [97, 5, 1, "", "size"], [97, 5, 1, "", "strides"]], "ivy.data_classes.array.conversions": [[47, 2, 1, "", "_array_to_new_backend"], [47, 2, 1, "", "_to_ivy"], [47, 2, 1, "", "_to_native"], [47, 2, 1, "", "_to_new_backend"], [47, 2, 1, "", "args_to_ivy"], [47, 2, 1, "", "args_to_native"], [47, 2, 1, "", "args_to_new_backend"], [47, 2, 1, "", "to_ivy"], [47, 2, 1, "", "to_native"], [47, 2, 1, "", "to_new_backend"]], "ivy.data_classes.array.creation": [[48, 1, 1, "", "_ArrayWithCreation"]], "ivy.data_classes.array.creation._ArrayWithCreation": [[48, 4, 1, "", "_abc_impl"], [48, 0, 1, "", "asarray"], [48, 0, 1, "", "copy_array"], [48, 0, 1, "", "empty_like"], [48, 0, 1, "", "from_dlpack"], [48, 0, 1, "", "full_like"], [48, 0, 1, "", "linspace"], [48, 0, 1, "", "logspace"], [48, 0, 1, "", "meshgrid"], [48, 0, 1, "", "native_array"], [48, 0, 1, "", "one_hot"], [48, 0, 1, "", "ones_like"], [48, 0, 1, "", "tril"], [48, 0, 1, "", "triu"], [48, 0, 1, "", "zeros_like"]], "ivy.data_classes.array.data_type": [[49, 1, 1, "", "_ArrayWithDataTypes"]], "ivy.data_classes.array.data_type._ArrayWithDataTypes": [[49, 4, 1, "", "_abc_impl"], [49, 0, 1, "", "astype"], [49, 0, 1, "", "broadcast_arrays"], [49, 0, 1, "", "broadcast_to"], [49, 0, 1, "", "can_cast"], [49, 0, 1, "", "dtype"], [49, 0, 1, "", "finfo"], [49, 0, 1, "", "iinfo"], [49, 0, 1, "", "is_bool_dtype"], [49, 0, 1, "", "is_float_dtype"], [49, 0, 1, "", "is_int_dtype"], [49, 0, 1, "", "is_uint_dtype"], [49, 0, 1, "", "result_type"]], "ivy.data_classes.array.device": [[50, 1, 1, "", "_ArrayWithDevice"]], "ivy.data_classes.array.device._ArrayWithDevice": [[50, 4, 1, "", "_abc_impl"], [50, 0, 1, "", "dev"], [50, 0, 1, "", "to_device"]], "ivy.data_classes.array.elementwise": [[51, 1, 1, "", "_ArrayWithElementwise"]], "ivy.data_classes.array.elementwise._ArrayWithElementwise": [[51, 4, 1, "", "_abc_impl"], [51, 0, 1, "", "abs"], [51, 0, 1, "", "acos"], [51, 0, 1, "", "acosh"], [51, 0, 1, "", "add"], [51, 0, 1, "", "angle"], [51, 0, 1, "", "asin"], [51, 0, 1, "", "asinh"], [51, 0, 1, "", "atan"], [51, 0, 1, "", "atan2"], [51, 0, 1, "", "atanh"], [51, 0, 1, "", "bitwise_and"], [51, 0, 1, "", "bitwise_invert"], [51, 0, 1, "", "bitwise_left_shift"], [51, 0, 1, "", "bitwise_or"], [51, 0, 1, "", "bitwise_right_shift"], [51, 0, 1, "", "bitwise_xor"], [51, 0, 1, "", "ceil"], [51, 0, 1, "", "cos"], [51, 0, 1, "", "cosh"], [51, 0, 1, "", "deg2rad"], [51, 0, 1, "", "divide"], [51, 0, 1, "", "equal"], [51, 0, 1, "", "erf"], [51, 0, 1, "", "exp"], [51, 0, 1, "", "exp2"], [51, 0, 1, "", "expm1"], [51, 0, 1, "", "floor"], [51, 0, 1, "", "floor_divide"], [51, 0, 1, "", "fmin"], [51, 0, 1, "", "gcd"], [51, 0, 1, "", "greater"], [51, 0, 1, "", "greater_equal"], [51, 0, 1, "", "imag"], [51, 0, 1, "", "isfinite"], [51, 0, 1, "", "isinf"], [51, 0, 1, "", "isnan"], [51, 0, 1, "", "isreal"], [51, 0, 1, "", "lcm"], [51, 0, 1, "", "less"], [51, 0, 1, "", "less_equal"], [51, 0, 1, "", "log"], [51, 0, 1, "", "log10"], [51, 0, 1, "", "log1p"], [51, 0, 1, "", "log2"], [51, 0, 1, "", "logaddexp"], [51, 0, 1, "", "logaddexp2"], [51, 0, 1, "", "logical_and"], [51, 0, 1, "", "logical_not"], [51, 0, 1, "", "logical_or"], [51, 0, 1, "", "logical_xor"], [51, 0, 1, "", "maximum"], [51, 0, 1, "", "minimum"], [51, 0, 1, "", "multiply"], [51, 0, 1, "", "nan_to_num"], [51, 0, 1, "", "negative"], [51, 0, 1, "", "not_equal"], [51, 0, 1, "", "positive"], [51, 0, 1, "", "pow"], [51, 0, 1, "", "rad2deg"], [51, 0, 1, "", "real"], [51, 0, 1, "", "reciprocal"], [51, 0, 1, "", "remainder"], [51, 0, 1, "", "round"], [51, 0, 1, "", "sign"], [51, 0, 1, "", "sin"], [51, 0, 1, "", "sinh"], [51, 0, 1, "", "sqrt"], [51, 0, 1, "", "square"], [51, 0, 1, "", "subtract"], [51, 0, 1, "", "tan"], [51, 0, 1, "", "tanh"], [51, 0, 1, "", "trapz"], [51, 0, 1, "", "trunc"], [51, 0, 1, "", "trunc_divide"]], "ivy.data_classes.array.experimental": [[52, 3, 0, "-", "activations"], [52, 3, 0, "-", "conversions"], [52, 3, 0, "-", "creation"], [52, 3, 0, "-", "data_type"], [52, 3, 0, "-", "device"], [52, 3, 0, "-", "elementwise"], [52, 3, 0, "-", "general"], [52, 3, 0, "-", "gradients"], [52, 3, 0, "-", "image"], [52, 3, 0, "-", "layers"], [52, 3, 0, "-", "linear_algebra"], [52, 3, 0, "-", "losses"], [52, 3, 0, "-", "manipulation"], [52, 3, 0, "-", "norms"], [52, 3, 0, "-", "random"], [52, 3, 0, "-", "searching"], [52, 3, 0, "-", "set"], [52, 3, 0, "-", "sorting"], [52, 3, 0, "-", "statistical"], [52, 3, 0, "-", "utility"]], "ivy.data_classes.array.experimental.activations": [[52, 1, 1, "", "_ArrayWithActivationsExperimental"]], "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "celu"], [52, 0, 1, "", "elu"], [52, 0, 1, "", "hardshrink"], [52, 0, 1, "", "hardtanh"], [52, 0, 1, "", "logit"], [52, 0, 1, "", "logsigmoid"], [52, 0, 1, "", "prelu"], [52, 0, 1, "", "relu6"], [52, 0, 1, "", "scaled_tanh"], [52, 0, 1, "", "selu"], [52, 0, 1, "", "silu"], [52, 0, 1, "", "softshrink"], [52, 0, 1, "", "tanhshrink"], [52, 0, 1, "", "threshold"], [52, 0, 1, "", "thresholded_relu"]], "ivy.data_classes.array.experimental.conversions": [[52, 1, 1, "", "_ArrayWithConversionsExperimental"]], "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.creation": [[52, 1, 1, "", "_ArrayWithCreationExperimental"], [52, 2, 1, "", "polyval"]], "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "blackman_window"], [52, 0, 1, "", "eye_like"], [52, 0, 1, "", "mel_weight_matrix"], [52, 0, 1, "", "trilu"], [52, 0, 1, "", "unsorted_segment_mean"], [52, 0, 1, "", "unsorted_segment_min"], [52, 0, 1, "", "unsorted_segment_sum"]], "ivy.data_classes.array.experimental.data_type": [[52, 1, 1, "", "_ArrayWithData_typeExperimental"]], "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.device": [[52, 1, 1, "", "_ArrayWithDeviceExperimental"]], "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.elementwise": [[52, 1, 1, "", "_ArrayWithElementWiseExperimental"]], "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "allclose"], [52, 0, 1, "", "amax"], [52, 0, 1, "", "amin"], [52, 0, 1, "", "binarizer"], [52, 0, 1, "", "conj"], [52, 0, 1, "", "copysign"], [52, 0, 1, "", "count_nonzero"], [52, 0, 1, "", "diff"], [52, 0, 1, "", "digamma"], [52, 0, 1, "", "erfc"], [52, 0, 1, "", "fix"], [52, 0, 1, "", "float_power"], [52, 0, 1, "", "fmax"], [52, 0, 1, "", "fmod"], [52, 0, 1, "", "frexp"], [52, 0, 1, "", "gradient"], [52, 0, 1, "", "hypot"], [52, 0, 1, "", "isclose"], [52, 0, 1, "", "ldexp"], [52, 0, 1, "", "lerp"], [52, 0, 1, "", "lgamma"], [52, 0, 1, "", "modf"], [52, 0, 1, "", "nansum"], [52, 0, 1, "", "nextafter"], [52, 0, 1, "", "signbit"], [52, 0, 1, "", "sinc"], [52, 0, 1, "", "sparsify_tensor"], [52, 0, 1, "", "xlogy"], [52, 0, 1, "", "zeta"]], "ivy.data_classes.array.experimental.general": [[52, 1, 1, "", "_ArrayWithGeneralExperimental"]], "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "reduce"]], "ivy.data_classes.array.experimental.gradients": [[52, 1, 1, "", "_ArrayWithGradientsExperimental"]], "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.image": [[52, 1, 1, "", "_ArrayWithImageExperimental"]], "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.layers": [[52, 1, 1, "", "_ArrayWithLayersExperimental"]], "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "adaptive_avg_pool1d"], [52, 0, 1, "", "adaptive_avg_pool2d"], [52, 0, 1, "", "adaptive_max_pool2d"], [52, 0, 1, "", "avg_pool1d"], [52, 0, 1, "", "avg_pool2d"], [52, 0, 1, "", "avg_pool3d"], [52, 0, 1, "", "dct"], [52, 0, 1, "", "dft"], [52, 0, 1, "", "embedding"], [52, 0, 1, "", "fft"], [52, 0, 1, "", "fft2"], [52, 0, 1, "", "idct"], [52, 0, 1, "", "ifft"], [52, 0, 1, "", "ifftn"], [52, 0, 1, "", "interpolate"], [52, 0, 1, "", "max_pool1d"], [52, 0, 1, "", "max_pool2d"], [52, 0, 1, "", "max_pool3d"], [52, 0, 1, "", "max_unpool1d"], [52, 0, 1, "", "reduce_window"], [52, 0, 1, "", "rfft"], [52, 0, 1, "", "rfftn"], [52, 0, 1, "", "sliding_window"], [52, 0, 1, "", "stft"]], "ivy.data_classes.array.experimental.linear_algebra": [[52, 1, 1, "", "_ArrayWithLinearAlgebraExperimental"]], "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "adjoint"], [52, 0, 1, "", "batched_outer"], [52, 0, 1, "", "cond"], [52, 0, 1, "", "diagflat"], [52, 0, 1, "", "dot"], [52, 0, 1, "", "eig"], [52, 0, 1, "", "eigh_tridiagonal"], [52, 0, 1, "", "eigvals"], [52, 0, 1, "", "general_inner_product"], [52, 0, 1, "", "higher_order_moment"], [52, 0, 1, "", "initialize_tucker"], [52, 0, 1, "", "kron"], [52, 0, 1, "", "make_svd_non_negative"], [52, 0, 1, "", "matrix_exp"], [52, 0, 1, "", "mode_dot"], [52, 0, 1, "", "multi_dot"], [52, 0, 1, "", "multi_mode_dot"], [52, 0, 1, "", "partial_tucker"], [52, 0, 1, "", "svd_flip"], [52, 0, 1, "", "tensor_train"], [52, 0, 1, "", "truncated_svd"], [52, 0, 1, "", "tt_matrix_to_tensor"], [52, 0, 1, "", "tucker"]], "ivy.data_classes.array.experimental.losses": [[52, 1, 1, "", "_ArrayWithLossesExperimental"]], "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "huber_loss"], [52, 0, 1, "", "kl_div"], [52, 0, 1, "", "l1_loss"], [52, 0, 1, "", "log_poisson_loss"], [52, 0, 1, "", "poisson_nll_loss"], [52, 0, 1, "", "smooth_l1_loss"], [52, 0, 1, "", "soft_margin_loss"]], "ivy.data_classes.array.experimental.manipulation": [[52, 1, 1, "", "_ArrayWithManipulationExperimental"]], "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "as_strided"], [52, 0, 1, "", "associative_scan"], [52, 0, 1, "", "atleast_1d"], [52, 0, 1, "", "atleast_2d"], [52, 0, 1, "", "atleast_3d"], [52, 0, 1, "", "column_stack"], [52, 0, 1, "", "concat_from_sequence"], [52, 0, 1, "", "dsplit"], [52, 0, 1, "", "dstack"], [52, 0, 1, "", "expand"], [52, 0, 1, "", "fill_diagonal"], [52, 0, 1, "", "flatten"], [52, 0, 1, "", "fliplr"], [52, 0, 1, "", "flipud"], [52, 0, 1, "", "fold"], [52, 0, 1, "", "heaviside"], [52, 0, 1, "", "hsplit"], [52, 0, 1, "", "hstack"], [52, 0, 1, "", "i0"], [52, 0, 1, "", "matricize"], [52, 0, 1, "", "moveaxis"], [52, 0, 1, "", "pad"], [52, 0, 1, "", "partial_fold"], [52, 0, 1, "", "partial_tensor_to_vec"], [52, 0, 1, "", "partial_unfold"], [52, 0, 1, "", "partial_vec_to_tensor"], [52, 0, 1, "", "put_along_axis"], [52, 0, 1, "", "rot90"], [52, 0, 1, "", "soft_thresholding"], [52, 0, 1, "", "take"], [52, 0, 1, "", "take_along_axis"], [52, 0, 1, "", "top_k"], [52, 0, 1, "", "trim_zeros"], [52, 0, 1, "", "unfold"], [52, 0, 1, "", "unique_consecutive"], [52, 0, 1, "", "vsplit"], [52, 0, 1, "", "vstack"]], "ivy.data_classes.array.experimental.norms": [[52, 1, 1, "", "_ArrayWithNormsExperimental"]], "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "batch_norm"], [52, 0, 1, "", "group_norm"], [52, 0, 1, "", "instance_norm"], [52, 0, 1, "", "l1_normalize"], [52, 0, 1, "", "l2_normalize"], [52, 0, 1, "", "lp_normalize"]], "ivy.data_classes.array.experimental.random": [[52, 1, 1, "", "_ArrayWithRandomExperimental"]], "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "bernoulli"], [52, 0, 1, "", "beta"], [52, 0, 1, "", "dirichlet"], [52, 0, 1, "", "gamma"], [52, 0, 1, "", "poisson"]], "ivy.data_classes.array.experimental.searching": [[52, 1, 1, "", "_ArrayWithSearchingExperimental"]], "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "unravel_index"]], "ivy.data_classes.array.experimental.set": [[52, 1, 1, "", "_ArrayWithSetExperimental"]], "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental": [[52, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.experimental.sorting": [[52, 1, 1, "", "_ArrayWithSortingExperimental"]], "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "lexsort"]], "ivy.data_classes.array.experimental.statistical": [[52, 1, 1, "", "_ArrayWithStatisticalExperimental"]], "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "bincount"], [52, 0, 1, "", "corrcoef"], [52, 0, 1, "", "cov"], [52, 0, 1, "", "cummax"], [52, 0, 1, "", "cummin"], [52, 0, 1, "", "histogram"], [52, 0, 1, "", "igamma"], [52, 0, 1, "", "median"], [52, 0, 1, "", "nanmean"], [52, 0, 1, "", "nanmedian"], [52, 0, 1, "", "nanmin"], [52, 0, 1, "", "nanprod"], [52, 0, 1, "", "quantile"]], "ivy.data_classes.array.experimental.utility": [[52, 1, 1, "", "_ArrayWithUtilityExperimental"]], "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental": [[52, 4, 1, "", "_abc_impl"], [52, 0, 1, "", "optional_get_element"]], "ivy.data_classes.array.general": [[53, 1, 1, "", "_ArrayWithGeneral"]], "ivy.data_classes.array.general._ArrayWithGeneral": [[53, 4, 1, "", "_abc_impl"], [53, 0, 1, "", "all_equal"], [53, 0, 1, "", "array_equal"], [53, 0, 1, "", "assert_supports_inplace"], [53, 0, 1, "", "clip_matrix_norm"], [53, 0, 1, "", "clip_vector_norm"], [53, 0, 1, "", "default"], [53, 0, 1, "", "einops_rearrange"], [53, 0, 1, "", "einops_reduce"], [53, 0, 1, "", "einops_repeat"], [53, 0, 1, "", "exists"], [53, 0, 1, "", "fourier_encode"], [53, 0, 1, "", "gather"], [53, 0, 1, "", "gather_nd"], [53, 0, 1, "", "get_num_dims"], [53, 0, 1, "", "has_nans"], [53, 0, 1, "", "inplace_decrement"], [53, 0, 1, "", "inplace_increment"], [53, 0, 1, "", "inplace_update"], [53, 0, 1, "", "is_array"], [53, 0, 1, "", "is_ivy_array"], [53, 0, 1, "", "is_ivy_container"], [53, 0, 1, "", "is_native_array"], [53, 0, 1, "", "isin"], [53, 0, 1, "", "scatter_flat"], [53, 0, 1, "", "scatter_nd"], [53, 0, 1, "", "stable_divide"], [53, 0, 1, "", "stable_pow"], [53, 0, 1, "", "supports_inplace_updates"], [53, 0, 1, "", "to_file"], [53, 0, 1, "", "to_list"], [53, 0, 1, "", "to_numpy"], [53, 0, 1, "", "to_scalar"], [53, 0, 1, "", "value_is_nan"]], "ivy.data_classes.array.gradients": [[54, 1, 1, "", "_ArrayWithGradients"]], "ivy.data_classes.array.gradients._ArrayWithGradients": [[54, 4, 1, "", "_abc_impl"], [54, 0, 1, "", "adam_step"], [54, 0, 1, "", "adam_update"], [54, 0, 1, "", "gradient_descent_update"], [54, 0, 1, "", "lamb_update"], [54, 0, 1, "", "lars_update"], [54, 0, 1, "", "optimizer_update"], [54, 0, 1, "", "stop_gradient"]], "ivy.data_classes.array.image": [[55, 1, 1, "", "_ArrayWithImage"]], "ivy.data_classes.array.image._ArrayWithImage": [[55, 4, 1, "", "_abc_impl"]], "ivy.data_classes.array.layers": [[56, 1, 1, "", "_ArrayWithLayers"]], "ivy.data_classes.array.layers._ArrayWithLayers": [[56, 4, 1, "", "_abc_impl"], [56, 0, 1, "", "conv1d"], [56, 0, 1, "", "conv1d_transpose"], [56, 0, 1, "", "conv2d"], [56, 0, 1, "", "conv2d_transpose"], [56, 0, 1, "", "conv3d"], [56, 0, 1, "", "conv3d_transpose"], [56, 0, 1, "", "depthwise_conv2d"], [56, 0, 1, "", "dropout"], [56, 0, 1, "", "dropout1d"], [56, 0, 1, "", "dropout2d"], [56, 0, 1, "", "dropout3d"], [56, 0, 1, "", "linear"], [56, 0, 1, "", "lstm_update"], [56, 0, 1, "", "multi_head_attention"], [56, 0, 1, "", "scaled_dot_product_attention"]], "ivy.data_classes.array.linear_algebra": [[57, 1, 1, "", "_ArrayWithLinearAlgebra"]], "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra": [[57, 4, 1, "", "_abc_impl"], [57, 0, 1, "", "cholesky"], [57, 0, 1, "", "cross"], [57, 0, 1, "", "det"], [57, 0, 1, "", "diag"], [57, 0, 1, "", "diagonal"], [57, 0, 1, "", "eig"], [57, 0, 1, "", "eigh"], [57, 0, 1, "", "eigvalsh"], [57, 0, 1, "", "inner"], [57, 0, 1, "", "inv"], [57, 0, 1, "", "matmul"], [57, 0, 1, "", "matrix_norm"], [57, 0, 1, "", "matrix_power"], [57, 0, 1, "", "matrix_rank"], [57, 0, 1, "", "matrix_transpose"], [57, 0, 1, "", "outer"], [57, 0, 1, "", "pinv"], [57, 0, 1, "", "qr"], [57, 0, 1, "", "slogdet"], [57, 0, 1, "", "solve"], [57, 0, 1, "", "svd"], [57, 0, 1, "", "svdvals"], [57, 0, 1, "", "tensordot"], [57, 0, 1, "", "tensorsolve"], [57, 0, 1, "", "trace"], [57, 0, 1, "", "vander"], [57, 0, 1, "", "vecdot"], [57, 0, 1, "", "vector_norm"], [57, 0, 1, "", "vector_to_skew_symmetric_matrix"]], "ivy.data_classes.array.losses": [[58, 1, 1, "", "_ArrayWithLosses"]], "ivy.data_classes.array.losses._ArrayWithLosses": [[58, 4, 1, "", "_abc_impl"], [58, 0, 1, "", "binary_cross_entropy"], [58, 0, 1, "", "cross_entropy"], [58, 0, 1, "", "sparse_cross_entropy"]], "ivy.data_classes.array.manipulation": [[59, 1, 1, "", "_ArrayWithManipulation"]], "ivy.data_classes.array.manipulation._ArrayWithManipulation": [[59, 4, 1, "", "_abc_impl"], [59, 0, 1, "", "clip"], [59, 0, 1, "", "concat"], [59, 0, 1, "", "constant_pad"], [59, 0, 1, "", "expand_dims"], [59, 0, 1, "", "flip"], [59, 0, 1, "", "permute_dims"], [59, 0, 1, "", "repeat"], [59, 0, 1, "", "reshape"], [59, 0, 1, "", "roll"], [59, 0, 1, "", "split"], [59, 0, 1, "", "squeeze"], [59, 0, 1, "", "stack"], [59, 0, 1, "", "swapaxes"], [59, 0, 1, "", "tile"], [59, 0, 1, "", "unstack"], [59, 0, 1, "", "view"], [59, 0, 1, "", "zero_pad"]], "ivy.data_classes.array.norms": [[60, 1, 1, "", "_ArrayWithNorms"]], "ivy.data_classes.array.norms._ArrayWithNorms": [[60, 4, 1, "", "_abc_impl"], [60, 0, 1, "", "layer_norm"]], "ivy.data_classes.array.random": [[61, 1, 1, "", "_ArrayWithRandom"]], "ivy.data_classes.array.random._ArrayWithRandom": [[61, 4, 1, "", "_abc_impl"], [61, 0, 1, "", "multinomial"], [61, 0, 1, "", "randint"], [61, 0, 1, "", "random_normal"], [61, 0, 1, "", "random_uniform"], [61, 0, 1, "", "shuffle"]], "ivy.data_classes.array.searching": [[62, 1, 1, "", "_ArrayWithSearching"]], "ivy.data_classes.array.searching._ArrayWithSearching": [[62, 4, 1, "", "_abc_impl"], [62, 0, 1, "", "argmax"], [62, 0, 1, "", "argmin"], [62, 0, 1, "", "argwhere"], [62, 0, 1, "", "nonzero"], [62, 0, 1, "", "where"]], "ivy.data_classes.array.set": [[63, 1, 1, "", "_ArrayWithSet"]], "ivy.data_classes.array.set._ArrayWithSet": [[63, 4, 1, "", "_abc_impl"], [63, 0, 1, "", "unique_all"], [63, 0, 1, "", "unique_counts"], [63, 0, 1, "", "unique_inverse"], [63, 0, 1, "", "unique_values"]], "ivy.data_classes.array.sorting": [[64, 1, 1, "", "_ArrayWithSorting"]], "ivy.data_classes.array.sorting._ArrayWithSorting": [[64, 4, 1, "", "_abc_impl"], [64, 0, 1, "", "argsort"], [64, 0, 1, "", "msort"], [64, 0, 1, "", "searchsorted"], [64, 0, 1, "", "sort"]], "ivy.data_classes.array.statistical": [[65, 1, 1, "", "_ArrayWithStatistical"]], "ivy.data_classes.array.statistical._ArrayWithStatistical": [[65, 4, 1, "", "_abc_impl"], [65, 0, 1, "", "cumprod"], [65, 0, 1, "", "cumsum"], [65, 0, 1, "", "einsum"], [65, 0, 1, "", "max"], [65, 0, 1, "", "mean"], [65, 0, 1, "", "min"], [65, 0, 1, "", "prod"], [65, 0, 1, "", "std"], [65, 0, 1, "", "sum"], [65, 0, 1, "", "var"]], "ivy.data_classes.array.utility": [[66, 1, 1, "", "_ArrayWithUtility"]], "ivy.data_classes.array.utility._ArrayWithUtility": [[66, 4, 1, "", "_abc_impl"], [66, 0, 1, "", "all"], [66, 0, 1, "", "any"]], "ivy.data_classes.array.wrapping": [[67, 2, 1, "", "_wrap_function"], [67, 2, 1, "", "add_ivy_array_instance_methods"]], "ivy.data_classes.container": [[68, 3, 0, "-", "activations"], [69, 3, 0, "-", "base"], [98, 3, 0, "-", "container"], [70, 3, 0, "-", "conversions"], [71, 3, 0, "-", "creation"], [72, 3, 0, "-", "data_type"], [73, 3, 0, "-", "device"], [74, 3, 0, "-", "elementwise"], [75, 3, 0, "-", "experimental"], [76, 3, 0, "-", "general"], [77, 3, 0, "-", "gradients"], [78, 3, 0, "-", "image"], [79, 3, 0, "-", "layers"], [80, 3, 0, "-", "linear_algebra"], [81, 3, 0, "-", "losses"], [82, 3, 0, "-", "manipulation"], [83, 3, 0, "-", "norms"], [84, 3, 0, "-", "random"], [85, 3, 0, "-", "searching"], [86, 3, 0, "-", "set"], [87, 3, 0, "-", "sorting"], [88, 3, 0, "-", "statistical"], [89, 3, 0, "-", "utility"], [90, 3, 0, "-", "wrapping"]], "ivy.data_classes.container.activations": [[68, 1, 1, "", "_ContainerWithActivations"]], "ivy.data_classes.container.activations._ContainerWithActivations": [[68, 4, 1, "", "_abc_impl"], [68, 0, 1, "", "_static_gelu"], [68, 0, 1, "", "_static_hardswish"], [68, 0, 1, "", "_static_leaky_relu"], [68, 0, 1, "", "_static_log_softmax"], [68, 0, 1, "", "_static_mish"], [68, 0, 1, "", "_static_relu"], [68, 0, 1, "", "_static_sigmoid"], [68, 0, 1, "", "_static_softmax"], [68, 0, 1, "", "_static_softplus"], [68, 0, 1, "", "gelu"], [68, 0, 1, "", "hardswish"], [68, 0, 1, "", "leaky_relu"], [68, 0, 1, "", "log_softmax"], [68, 0, 1, "", "mish"], [68, 0, 1, "", "relu"], [68, 0, 1, "", "sigmoid"], [68, 0, 1, "", "softmax"], [68, 0, 1, "", "softplus"]], "ivy.data_classes.container.base": [[69, 1, 1, "", "ContainerBase"], [69, 2, 1, "", "_is_jsonable"], [69, 2, 1, "", "_repr"]], "ivy.data_classes.container.base.ContainerBase": [[69, 0, 1, "", "__getitem__"], [69, 0, 1, "", "__init__"], [69, 0, 1, "", "__setitem__"], [69, 4, 1, "", "_abc_impl"], [69, 0, 1, "", "_cont_at_key_chains_input_as_dict"], [69, 0, 1, "", "_cont_at_key_chains_input_as_seq"], [69, 0, 1, "", "_cont_call_static_method_with_flexible_args"], [69, 0, 1, "", "_cont_concat_unify"], [69, 0, 1, "", "_cont_get_dev"], [69, 0, 1, "", "_cont_get_dtype"], [69, 0, 1, "", "_cont_get_shape"], [69, 0, 1, "", "_cont_get_shapes"], [69, 5, 1, "", "_cont_ivy"], [69, 0, 1, "", "_cont_mean_unify"], [69, 0, 1, "", "_cont_prune_key_chains_input_as_dict"], [69, 0, 1, "", "_cont_prune_key_chains_input_as_seq"], [69, 0, 1, "", "_cont_slice_keys"], [69, 0, 1, "", "_cont_sum_unify"], [69, 0, 1, "", "_get_queue_item"], [69, 0, 1, "", "cont_all_false"], [69, 0, 1, "", "cont_all_key_chains"], [69, 0, 1, "", "cont_all_true"], [69, 0, 1, "", "cont_as_bools"], [69, 0, 1, "", "cont_assert_contains_sub_container"], [69, 0, 1, "", "cont_assert_contains_sub_structure"], [69, 0, 1, "", "cont_assert_identical"], [69, 0, 1, "", "cont_assert_identical_structure"], [69, 0, 1, "", "cont_at_key_chain"], [69, 0, 1, "", "cont_at_key_chains"], [69, 0, 1, "", "cont_at_keys"], [69, 0, 1, "", "cont_combine"], [69, 0, 1, "", "cont_common_key_chains"], [69, 5, 1, "", "cont_config"], [69, 0, 1, "", "cont_contains_sub_container"], [69, 0, 1, "", "cont_contains_sub_structure"], [69, 0, 1, "", "cont_copy"], [69, 0, 1, "", "cont_create_if_absent"], [69, 0, 1, "", "cont_cutoff_at_depth"], [69, 0, 1, "", "cont_cutoff_at_height"], [69, 0, 1, "", "cont_deep_copy"], [69, 5, 1, "", "cont_dev"], [69, 5, 1, "", "cont_dev_str"], [69, 0, 1, "", "cont_diff"], [69, 5, 1, "", "cont_dtype"], [69, 0, 1, "", "cont_duplicate_array_keychains"], [69, 0, 1, "", "cont_find_sub_container"], [69, 0, 1, "", "cont_find_sub_structure"], [69, 0, 1, "", "cont_flatten_key_chain"], [69, 0, 1, "", "cont_flatten_key_chains"], [69, 0, 1, "", "cont_format_key_chains"], [69, 0, 1, "", "cont_from_disk_as_hdf5"], [69, 0, 1, "", "cont_from_disk_as_json"], [69, 0, 1, "", "cont_from_disk_as_pickled"], [69, 0, 1, "", "cont_from_flat_list"], [69, 0, 1, "", "cont_handle_inplace"], [69, 0, 1, "", "cont_has_key"], [69, 0, 1, "", "cont_has_key_chain"], [69, 0, 1, "", "cont_identical"], [69, 0, 1, "", "cont_identical_array_shapes"], [69, 0, 1, "", "cont_identical_configs"], [69, 0, 1, "", "cont_identical_structure"], [69, 0, 1, "", "cont_if_exists"], [69, 0, 1, "", "cont_inplace_update"], [69, 5, 1, "", "cont_ivy"], [69, 0, 1, "", "cont_key_chains_containing"], [69, 0, 1, "", "cont_list_join"], [69, 0, 1, "", "cont_list_stack"], [69, 0, 1, "", "cont_load"], [69, 0, 1, "", "cont_map"], [69, 0, 1, "", "cont_map_sub_conts"], [69, 5, 1, "", "cont_max_depth"], [69, 0, 1, "", "cont_multi_map"], [69, 0, 1, "", "cont_multi_map_in_function"], [69, 0, 1, "", "cont_num_arrays"], [69, 0, 1, "", "cont_overwrite_at_key_chain"], [69, 0, 1, "", "cont_overwrite_at_key_chains"], [69, 0, 1, "", "cont_prune_empty"], [69, 0, 1, "", "cont_prune_key_chain"], [69, 0, 1, "", "cont_prune_key_chains"], [69, 0, 1, "", "cont_prune_key_from_key_chains"], [69, 0, 1, "", "cont_prune_keys"], [69, 0, 1, "", "cont_prune_keys_from_key_chains"], [69, 0, 1, "", "cont_reduce"], [69, 0, 1, "", "cont_remove_key_length_limit"], [69, 0, 1, "", "cont_remove_print_limit"], [69, 0, 1, "", "cont_reshape_like"], [69, 0, 1, "", "cont_restructure"], [69, 0, 1, "", "cont_restructure_key_chains"], [69, 0, 1, "", "cont_save"], [69, 0, 1, "", "cont_set_at_key_chain"], [69, 0, 1, "", "cont_set_at_key_chains"], [69, 0, 1, "", "cont_set_at_keys"], [69, 5, 1, "", "cont_shape"], [69, 5, 1, "", "cont_shapes"], [69, 0, 1, "", "cont_show"], [69, 0, 1, "", "cont_show_sub_container"], [69, 0, 1, "", "cont_size_ordered_arrays"], [69, 0, 1, "", "cont_slice_keys"], [69, 0, 1, "", "cont_slice_via_key"], [69, 0, 1, "", "cont_sort_by_key"], [69, 0, 1, "", "cont_structural_diff"], [69, 0, 1, "", "cont_to_dict"], [69, 0, 1, "", "cont_to_disk_as_hdf5"], [69, 0, 1, "", "cont_to_disk_as_json"], [69, 0, 1, "", "cont_to_disk_as_pickled"], [69, 0, 1, "", "cont_to_flat_list"], [69, 0, 1, "", "cont_to_iterator"], [69, 0, 1, "", "cont_to_iterator_keys"], [69, 0, 1, "", "cont_to_iterator_values"], [69, 0, 1, "", "cont_to_jsonable"], [69, 0, 1, "", "cont_to_nested_list"], [69, 0, 1, "", "cont_to_raw"], [69, 0, 1, "", "cont_trim_key"], [69, 0, 1, "", "cont_try_kc"], [69, 0, 1, "", "cont_unify"], [69, 0, 1, "", "cont_unstack_conts"], [69, 0, 1, "", "cont_update_config"], [69, 0, 1, "", "cont_with_default_key_color"], [69, 0, 1, "", "cont_with_entries_as_lists"], [69, 0, 1, "", "cont_with_ivy_backend"], [69, 0, 1, "", "cont_with_key_length_limit"], [69, 0, 1, "", "cont_with_print_indent"], [69, 0, 1, "", "cont_with_print_limit"], [69, 0, 1, "", "cont_with_print_line_spacing"], [69, 5, 1, "", "dynamic_backend"], [69, 0, 1, "", "h5_file_size"], [69, 0, 1, "", "shuffle_h5_file"], [69, 0, 1, "", "split_conts"]], "ivy.data_classes.container.container": [[98, 1, 1, "", "Container"]], "ivy.data_classes.container.container.Container": [[98, 0, 1, "", "__abs__"], [98, 0, 1, "", "__add__"], [98, 0, 1, "", "__eq__"], [98, 0, 1, "", "__ge__"], [98, 0, 1, "", "__gt__"], [98, 0, 1, "", "__init__"], [98, 0, 1, "", "__le__"], [98, 0, 1, "", "__lt__"], [98, 0, 1, "", "__ne__"], [98, 0, 1, "", "__pow__"], [98, 0, 1, "", "__radd__"], [98, 0, 1, "", "__rrshift__"], [98, 0, 1, "", "__rshift__"], [98, 0, 1, "", "__rsub__"], [98, 0, 1, "", "__sub__"], [98, 0, 1, "", "__truediv__"], [98, 0, 1, "", "__xor__"]], "ivy.data_classes.container.conversions": [[70, 1, 1, "", "_ContainerWithConversions"]], "ivy.data_classes.container.conversions._ContainerWithConversions": [[70, 4, 1, "", "_abc_impl"], [70, 0, 1, "", "_static_to_ivy"], [70, 0, 1, "", "_static_to_native"], [70, 0, 1, "", "to_ivy"], [70, 0, 1, "", "to_native"]], "ivy.data_classes.container.creation": [[71, 1, 1, "", "_ContainerWithCreation"]], "ivy.data_classes.container.creation._ContainerWithCreation": [[71, 4, 1, "", "_abc_impl"], [71, 0, 1, "", "_static_arange"], [71, 0, 1, "", "_static_asarray"], [71, 0, 1, "", "_static_copy_array"], [71, 0, 1, "", "_static_empty"], [71, 0, 1, "", "_static_empty_like"], [71, 0, 1, "", "_static_eye"], [71, 0, 1, "", "_static_from_dlpack"], [71, 0, 1, "", "_static_full"], [71, 0, 1, "", "_static_full_like"], [71, 0, 1, "", "_static_linspace"], [71, 0, 1, "", "_static_logspace"], [71, 0, 1, "", "_static_meshgrid"], [71, 0, 1, "", "_static_native_array"], [71, 0, 1, "", "_static_one_hot"], [71, 0, 1, "", "_static_ones"], [71, 0, 1, "", "_static_ones_like"], [71, 0, 1, "", "_static_tril"], [71, 0, 1, "", "_static_triu"], [71, 0, 1, "", "_static_zeros"], [71, 0, 1, "", "_static_zeros_like"], [71, 0, 1, "", "asarray"], [71, 0, 1, "", "copy_array"], [71, 0, 1, "", "empty_like"], [71, 0, 1, "", "from_dlpack"], [71, 0, 1, "", "frombuffer"], [71, 0, 1, "", "full_like"], [71, 0, 1, "", "linspace"], [71, 0, 1, "", "logspace"], [71, 0, 1, "", "meshgrid"], [71, 0, 1, "", "native_array"], [71, 0, 1, "", "one_hot"], [71, 0, 1, "", "ones_like"], [71, 0, 1, "", "static_frombuffer"], [71, 0, 1, "", "static_triu_indices"], [71, 0, 1, "", "tril"], [71, 0, 1, "", "triu"], [71, 0, 1, "", "triu_indices"], [71, 0, 1, "", "zeros_like"]], "ivy.data_classes.container.data_type": [[72, 1, 1, "", "_ContainerWithDataTypes"]], "ivy.data_classes.container.data_type._ContainerWithDataTypes": [[72, 4, 1, "", "_abc_impl"], [72, 0, 1, "", "_static_astype"], [72, 0, 1, "", "_static_broadcast_arrays"], [72, 0, 1, "", "_static_broadcast_to"], [72, 0, 1, "", "_static_can_cast"], [72, 0, 1, "", "_static_default_complex_dtype"], [72, 0, 1, "", "_static_default_float_dtype"], [72, 0, 1, "", "_static_dtype"], [72, 0, 1, "", "_static_finfo"], [72, 0, 1, "", "_static_function_supported_dtypes"], [72, 0, 1, "", "_static_function_unsupported_dtypes"], [72, 0, 1, "", "_static_iinfo"], [72, 0, 1, "", "_static_is_bool_dtype"], [72, 0, 1, "", "_static_is_complex_dtype"], [72, 0, 1, "", "_static_is_float_dtype"], [72, 0, 1, "", "_static_is_int_dtype"], [72, 0, 1, "", "_static_is_uint_dtype"], [72, 0, 1, "", "_static_result_type"], [72, 0, 1, "", "astype"], [72, 0, 1, "", "broadcast_arrays"], [72, 0, 1, "", "broadcast_to"], [72, 0, 1, "", "can_cast"], [72, 0, 1, "", "dtype"], [72, 0, 1, "", "finfo"], [72, 0, 1, "", "iinfo"], [72, 0, 1, "", "is_bool_dtype"], [72, 0, 1, "", "is_complex_dtype"], [72, 0, 1, "", "is_float_dtype"], [72, 0, 1, "", "is_int_dtype"], [72, 0, 1, "", "is_uint_dtype"], [72, 0, 1, "", "result_type"]], "ivy.data_classes.container.device": [[73, 1, 1, "", "_ContainerWithDevice"]], "ivy.data_classes.container.device._ContainerWithDevice": [[73, 4, 1, "", "_abc_impl"], [73, 0, 1, "", "_static_dev"], [73, 0, 1, "", "_static_to_device"], [73, 0, 1, "", "dev"], [73, 0, 1, "", "to_device"]], "ivy.data_classes.container.elementwise": [[74, 1, 1, "", "_ContainerWithElementwise"]], "ivy.data_classes.container.elementwise._ContainerWithElementwise": [[74, 4, 1, "", "_abc_impl"], [74, 0, 1, "", "_static_abs"], [74, 0, 1, "", "_static_acos"], [74, 0, 1, "", "_static_acosh"], [74, 0, 1, "", "_static_add"], [74, 0, 1, "", "_static_asin"], [74, 0, 1, "", "_static_asinh"], [74, 0, 1, "", "_static_atan"], [74, 0, 1, "", "_static_atan2"], [74, 0, 1, "", "_static_atanh"], [74, 0, 1, "", "_static_bitwise_and"], [74, 0, 1, "", "_static_bitwise_invert"], [74, 0, 1, "", "_static_bitwise_left_shift"], [74, 0, 1, "", "_static_bitwise_or"], [74, 0, 1, "", "_static_bitwise_right_shift"], [74, 0, 1, "", "_static_bitwise_xor"], [74, 0, 1, "", "_static_ceil"], [74, 0, 1, "", "_static_cos"], [74, 0, 1, "", "_static_cosh"], [74, 0, 1, "", "_static_deg2rad"], [74, 0, 1, "", "_static_divide"], [74, 0, 1, "", "_static_equal"], [74, 0, 1, "", "_static_erf"], [74, 0, 1, "", "_static_exp"], [74, 0, 1, "", "_static_expm1"], [74, 0, 1, "", "_static_floor"], [74, 0, 1, "", "_static_floor_divide"], [74, 0, 1, "", "_static_greater"], [74, 0, 1, "", "_static_greater_equal"], [74, 0, 1, "", "_static_isfinite"], [74, 0, 1, "", "_static_isinf"], [74, 0, 1, "", "_static_isnan"], [74, 0, 1, "", "_static_isreal"], [74, 0, 1, "", "_static_lcm"], [74, 0, 1, "", "_static_less"], [74, 0, 1, "", "_static_less_equal"], [74, 0, 1, "", "_static_log"], [74, 0, 1, "", "_static_log10"], [74, 0, 1, "", "_static_log1p"], [74, 0, 1, "", "_static_log2"], [74, 0, 1, "", "_static_logaddexp"], [74, 0, 1, "", "_static_logical_and"], [74, 0, 1, "", "_static_logical_not"], [74, 0, 1, "", "_static_logical_or"], [74, 0, 1, "", "_static_logical_xor"], [74, 0, 1, "", "_static_maximum"], [74, 0, 1, "", "_static_minimum"], [74, 0, 1, "", "_static_multiply"], [74, 0, 1, "", "_static_negative"], [74, 0, 1, "", "_static_not_equal"], [74, 0, 1, "", "_static_positive"], [74, 0, 1, "", "_static_pow"], [74, 0, 1, "", "_static_rad2deg"], [74, 0, 1, "", "_static_reciprocal"], [74, 0, 1, "", "_static_remainder"], [74, 0, 1, "", "_static_round"], [74, 0, 1, "", "_static_sign"], [74, 0, 1, "", "_static_sin"], [74, 0, 1, "", "_static_sinh"], [74, 0, 1, "", "_static_sqrt"], [74, 0, 1, "", "_static_square"], [74, 0, 1, "", "_static_subtract"], [74, 0, 1, "", "_static_tan"], [74, 0, 1, "", "_static_tanh"], [74, 0, 1, "", "_static_trapz"], [74, 0, 1, "", "_static_trunc"], [74, 0, 1, "", "_static_trunc_divide"], [74, 0, 1, "", "abs"], [74, 0, 1, "", "acos"], [74, 0, 1, "", "acosh"], [74, 0, 1, "", "add"], [74, 0, 1, "", "angle"], [74, 0, 1, "", "asin"], [74, 0, 1, "", "asinh"], [74, 0, 1, "", "atan"], [74, 0, 1, "", "atan2"], [74, 0, 1, "", "atanh"], [74, 0, 1, "", "bitwise_and"], [74, 0, 1, "", "bitwise_invert"], [74, 0, 1, "", "bitwise_left_shift"], [74, 0, 1, "", "bitwise_or"], [74, 0, 1, "", "bitwise_right_shift"], [74, 0, 1, "", "bitwise_xor"], [74, 0, 1, "", "ceil"], [74, 0, 1, "", "cos"], [74, 0, 1, "", "cosh"], [74, 0, 1, "", "deg2rad"], [74, 0, 1, "", "divide"], [74, 0, 1, "", "equal"], [74, 0, 1, "", "erf"], [74, 0, 1, "", "exp"], [74, 0, 1, "", "exp2"], [74, 0, 1, "", "expm1"], [74, 0, 1, "", "floor"], [74, 0, 1, "", "floor_divide"], [74, 0, 1, "", "fmin"], [74, 0, 1, "", "gcd"], [74, 0, 1, "", "greater"], [74, 0, 1, "", "greater_equal"], [74, 0, 1, "", "imag"], [74, 0, 1, "", "isfinite"], [74, 0, 1, "", "isinf"], [74, 0, 1, "", "isnan"], [74, 0, 1, "", "isreal"], [74, 0, 1, "", "lcm"], [74, 0, 1, "", "less"], [74, 0, 1, "", "less_equal"], [74, 0, 1, "", "log"], [74, 0, 1, "", "log10"], [74, 0, 1, "", "log1p"], [74, 0, 1, "", "log2"], [74, 0, 1, "", "logaddexp"], [74, 0, 1, "", "logaddexp2"], [74, 0, 1, "", "logical_and"], [74, 0, 1, "", "logical_not"], [74, 0, 1, "", "logical_or"], [74, 0, 1, "", "logical_xor"], [74, 0, 1, "", "maximum"], [74, 0, 1, "", "minimum"], [74, 0, 1, "", "multiply"], [74, 0, 1, "", "nan_to_num"], [74, 0, 1, "", "negative"], [74, 0, 1, "", "not_equal"], [74, 0, 1, "", "positive"], [74, 0, 1, "", "pow"], [74, 0, 1, "", "rad2deg"], [74, 0, 1, "", "real"], [74, 0, 1, "", "reciprocal"], [74, 0, 1, "", "remainder"], [74, 0, 1, "", "round"], [74, 0, 1, "", "sign"], [74, 0, 1, "", "sin"], [74, 0, 1, "", "sinh"], [74, 0, 1, "", "sqrt"], [74, 0, 1, "", "square"], [74, 0, 1, "", "static_angle"], [74, 0, 1, "", "static_exp2"], [74, 0, 1, "", "static_fmin"], [74, 0, 1, "", "static_gcd"], [74, 0, 1, "", "static_imag"], [74, 0, 1, "", "static_logaddexp2"], [74, 0, 1, "", "static_nan_to_num"], [74, 0, 1, "", "static_real"], [74, 0, 1, "", "subtract"], [74, 0, 1, "", "tan"], [74, 0, 1, "", "tanh"], [74, 0, 1, "", "trapz"], [74, 0, 1, "", "trunc"], [74, 0, 1, "", "trunc_divide"]], "ivy.data_classes.container.experimental": [[75, 3, 0, "-", "activations"], [75, 3, 0, "-", "conversions"], [75, 3, 0, "-", "creation"], [75, 3, 0, "-", "data_type"], [75, 3, 0, "-", "device"], [75, 3, 0, "-", "elementwise"], [75, 3, 0, "-", "general"], [75, 3, 0, "-", "gradients"], [75, 3, 0, "-", "image"], [75, 3, 0, "-", "layers"], [75, 3, 0, "-", "linear_algebra"], [75, 3, 0, "-", "losses"], [75, 3, 0, "-", "manipulation"], [75, 3, 0, "-", "norms"], [75, 3, 0, "-", "random"], [75, 3, 0, "-", "searching"], [75, 3, 0, "-", "set"], [75, 3, 0, "-", "sorting"], [75, 3, 0, "-", "statistical"], [75, 3, 0, "-", "utility"]], "ivy.data_classes.container.experimental.activations": [[75, 1, 1, "", "_ContainerWithActivationExperimental"]], "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_celu"], [75, 0, 1, "", "_static_elu"], [75, 0, 1, "", "_static_hardshrink"], [75, 0, 1, "", "_static_hardtanh"], [75, 0, 1, "", "_static_scaled_tanh"], [75, 0, 1, "", "_static_silu"], [75, 0, 1, "", "_static_softshrink"], [75, 0, 1, "", "_static_tanhshrink"], [75, 0, 1, "", "_static_threshold"], [75, 0, 1, "", "celu"], [75, 0, 1, "", "elu"], [75, 0, 1, "", "hardshrink"], [75, 0, 1, "", "hardtanh"], [75, 0, 1, "", "logit"], [75, 0, 1, "", "logsigmoid"], [75, 0, 1, "", "prelu"], [75, 0, 1, "", "relu6"], [75, 0, 1, "", "scaled_tanh"], [75, 0, 1, "", "selu"], [75, 0, 1, "", "silu"], [75, 0, 1, "", "softshrink"], [75, 0, 1, "", "static_logit"], [75, 0, 1, "", "static_logsigmoid"], [75, 0, 1, "", "static_prelu"], [75, 0, 1, "", "static_relu6"], [75, 0, 1, "", "static_selu"], [75, 0, 1, "", "static_thresholded_relu"], [75, 0, 1, "", "tanhshrink"], [75, 0, 1, "", "threshold"], [75, 0, 1, "", "thresholded_relu"]], "ivy.data_classes.container.experimental.conversions": [[75, 1, 1, "", "_ContainerWithConversionExperimental"]], "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.creation": [[75, 1, 1, "", "_ContainerWithCreationExperimental"]], "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_trilu"], [75, 0, 1, "", "blackman_window"], [75, 0, 1, "", "eye_like"], [75, 0, 1, "", "hamming_window"], [75, 0, 1, "", "hann_window"], [75, 0, 1, "", "kaiser_bessel_derived_window"], [75, 0, 1, "", "kaiser_window"], [75, 0, 1, "", "mel_weight_matrix"], [75, 0, 1, "", "polyval"], [75, 0, 1, "", "static_blackman_window"], [75, 0, 1, "", "static_eye_like"], [75, 0, 1, "", "static_hamming_window"], [75, 0, 1, "", "static_hann_window"], [75, 0, 1, "", "static_kaiser_bessel_derived_window"], [75, 0, 1, "", "static_kaiser_window"], [75, 0, 1, "", "static_mel_weight_matrix"], [75, 0, 1, "", "static_polyval"], [75, 0, 1, "", "static_tril_indices"], [75, 0, 1, "", "static_unsorted_segment_mean"], [75, 0, 1, "", "static_unsorted_segment_min"], [75, 0, 1, "", "static_unsorted_segment_sum"], [75, 0, 1, "", "static_vorbis_window"], [75, 0, 1, "", "tril_indices"], [75, 0, 1, "", "trilu"], [75, 0, 1, "", "unsorted_segment_mean"], [75, 0, 1, "", "unsorted_segment_min"], [75, 0, 1, "", "unsorted_segment_sum"], [75, 0, 1, "", "vorbis_window"]], "ivy.data_classes.container.experimental.data_type": [[75, 1, 1, "", "_ContainerWithData_typeExperimental"]], "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.device": [[75, 1, 1, "", "_ContainerWithDeviceExperimental"]], "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.elementwise": [[75, 1, 1, "", "_ContainerWithElementWiseExperimental"]], "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "allclose"], [75, 0, 1, "", "amax"], [75, 0, 1, "", "amin"], [75, 0, 1, "", "binarizer"], [75, 0, 1, "", "conj"], [75, 0, 1, "", "copysign"], [75, 0, 1, "", "count_nonzero"], [75, 0, 1, "", "diff"], [75, 0, 1, "", "digamma"], [75, 0, 1, "", "erfc"], [75, 0, 1, "", "fix"], [75, 0, 1, "", "float_power"], [75, 0, 1, "", "fmax"], [75, 0, 1, "", "fmod"], [75, 0, 1, "", "frexp"], [75, 0, 1, "", "gradient"], [75, 0, 1, "", "hypot"], [75, 0, 1, "", "isclose"], [75, 0, 1, "", "ldexp"], [75, 0, 1, "", "lerp"], [75, 0, 1, "", "modf"], [75, 0, 1, "", "nansum"], [75, 0, 1, "", "nextafter"], [75, 0, 1, "", "signbit"], [75, 0, 1, "", "sinc"], [75, 0, 1, "", "sparsify_tensor"], [75, 0, 1, "", "static_allclose"], [75, 0, 1, "", "static_amax"], [75, 0, 1, "", "static_amin"], [75, 0, 1, "", "static_binarizer"], [75, 0, 1, "", "static_conj"], [75, 0, 1, "", "static_copysign"], [75, 0, 1, "", "static_count_nonzero"], [75, 0, 1, "", "static_diff"], [75, 0, 1, "", "static_digamma"], [75, 0, 1, "", "static_erfc"], [75, 0, 1, "", "static_fix"], [75, 0, 1, "", "static_float_power"], [75, 0, 1, "", "static_fmax"], [75, 0, 1, "", "static_fmod"], [75, 0, 1, "", "static_frexp"], [75, 0, 1, "", "static_gradient"], [75, 0, 1, "", "static_hypot"], [75, 0, 1, "", "static_isclose"], [75, 0, 1, "", "static_ldexp"], [75, 0, 1, "", "static_lerp"], [75, 0, 1, "", "static_modf"], [75, 0, 1, "", "static_nansum"], [75, 0, 1, "", "static_nextafter"], [75, 0, 1, "", "static_signbit"], [75, 0, 1, "", "static_sinc"], [75, 0, 1, "", "static_sparsify_tensor"], [75, 0, 1, "", "static_xlogy"], [75, 0, 1, "", "static_zeta"], [75, 0, 1, "", "xlogy"], [75, 0, 1, "", "zeta"]], "ivy.data_classes.container.experimental.general": [[75, 1, 1, "", "_ContainerWithGeneralExperimental"]], "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_reduce"], [75, 0, 1, "", "reduce"]], "ivy.data_classes.container.experimental.gradients": [[75, 1, 1, "", "_ContainerWithGradientsExperimental"]], "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.image": [[75, 1, 1, "", "_ContainerWithImageExperimental"]], "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.layers": [[75, 1, 1, "", "_ContainerWithLayersExperimental"]], "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_fft"], [75, 0, 1, "", "_static_sliding_window"], [75, 0, 1, "", "adaptive_avg_pool1d"], [75, 0, 1, "", "adaptive_avg_pool2d"], [75, 0, 1, "", "adaptive_max_pool2d"], [75, 0, 1, "", "avg_pool1d"], [75, 0, 1, "", "avg_pool2d"], [75, 0, 1, "", "avg_pool3d"], [75, 0, 1, "", "dct"], [75, 0, 1, "", "dft"], [75, 0, 1, "", "embedding"], [75, 0, 1, "", "fft"], [75, 0, 1, "", "idct"], [75, 0, 1, "", "ifft"], [75, 0, 1, "", "ifftn"], [75, 0, 1, "", "interpolate"], [75, 0, 1, "", "max_pool1d"], [75, 0, 1, "", "max_pool2d"], [75, 0, 1, "", "max_pool3d"], [75, 0, 1, "", "max_unpool1d"], [75, 0, 1, "", "rfft"], [75, 0, 1, "", "rfftn"], [75, 0, 1, "", "sliding_window"], [75, 0, 1, "", "static_adaptive_avg_pool1d"], [75, 0, 1, "", "static_adaptive_avg_pool2d"], [75, 0, 1, "", "static_adaptive_max_pool2d"], [75, 0, 1, "", "static_avg_pool1d"], [75, 0, 1, "", "static_avg_pool2d"], [75, 0, 1, "", "static_avg_pool3d"], [75, 0, 1, "", "static_dct"], [75, 0, 1, "", "static_dft"], [75, 0, 1, "", "static_embedding"], [75, 0, 1, "", "static_idct"], [75, 0, 1, "", "static_ifft"], [75, 0, 1, "", "static_ifftn"], [75, 0, 1, "", "static_interpolate"], [75, 0, 1, "", "static_max_pool1d"], [75, 0, 1, "", "static_max_pool2d"], [75, 0, 1, "", "static_max_pool3d"], [75, 0, 1, "", "static_max_unpool1d"], [75, 0, 1, "", "static_rfft"], [75, 0, 1, "", "static_rfftn"], [75, 0, 1, "", "static_rnn"], [75, 0, 1, "", "static_stft"], [75, 0, 1, "", "stft"]], "ivy.data_classes.container.experimental.linear_algebra": [[75, 1, 1, "", "_ContainerWithLinearAlgebraExperimental"]], "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "adjoint"], [75, 0, 1, "", "batched_outer"], [75, 0, 1, "", "cond"], [75, 0, 1, "", "diagflat"], [75, 0, 1, "", "dot"], [75, 0, 1, "", "eig"], [75, 0, 1, "", "eigh_tridiagonal"], [75, 0, 1, "", "eigvals"], [75, 0, 1, "", "higher_order_moment"], [75, 0, 1, "", "initialize_tucker"], [75, 0, 1, "", "kron"], [75, 0, 1, "", "make_svd_non_negative"], [75, 0, 1, "", "matrix_exp"], [75, 0, 1, "", "mode_dot"], [75, 0, 1, "", "multi_dot"], [75, 0, 1, "", "multi_mode_dot"], [75, 0, 1, "", "partial_tucker"], [75, 0, 1, "", "static_adjoint"], [75, 0, 1, "", "static_batched_outer"], [75, 0, 1, "", "static_cond"], [75, 0, 1, "", "static_diagflat"], [75, 0, 1, "", "static_dot"], [75, 0, 1, "", "static_eig"], [75, 0, 1, "", "static_eigh_tridiagonal"], [75, 0, 1, "", "static_eigvals"], [75, 0, 1, "", "static_higher_order_moment"], [75, 0, 1, "", "static_initialize_tucker"], [75, 0, 1, "", "static_kron"], [75, 0, 1, "", "static_make_svd_non_negative"], [75, 0, 1, "", "static_matrix_exp"], [75, 0, 1, "", "static_mode_dot"], [75, 0, 1, "", "static_multi_dot"], [75, 0, 1, "", "static_multi_mode_dot"], [75, 0, 1, "", "static_partial_tucker"], [75, 0, 1, "", "static_svd_flip"], [75, 0, 1, "", "static_tensor_train"], [75, 0, 1, "", "static_truncated_svd"], [75, 0, 1, "", "static_tt_matrix_to_tensor"], [75, 0, 1, "", "static_tucker"], [75, 0, 1, "", "svd_flip"], [75, 0, 1, "", "tensor_train"], [75, 0, 1, "", "truncated_svd"], [75, 0, 1, "", "tt_matrix_to_tensor"], [75, 0, 1, "", "tucker"]], "ivy.data_classes.container.experimental.losses": [[75, 1, 1, "", "_ContainerWithLossesExperimental"]], "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_huber_loss"], [75, 0, 1, "", "_static_kl_div"], [75, 0, 1, "", "_static_l1_loss"], [75, 0, 1, "", "_static_log_poisson_loss"], [75, 0, 1, "", "_static_poisson_nll_loss"], [75, 0, 1, "", "_static_smooth_l1_loss"], [75, 0, 1, "", "_static_soft_margin_loss"], [75, 0, 1, "", "huber_loss"], [75, 0, 1, "", "kl_div"], [75, 0, 1, "", "l1_loss"], [75, 0, 1, "", "log_poisson_loss"], [75, 0, 1, "", "poisson_nll_loss"], [75, 0, 1, "", "smooth_l1_loss"], [75, 0, 1, "", "soft_margin_loss"]], "ivy.data_classes.container.experimental.manipulation": [[75, 1, 1, "", "_ContainerWithManipulationExperimental"], [75, 2, 1, "", "concat_from_sequence"]], "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_fill_diagonal"], [75, 0, 1, "", "_static_put_along_axis"], [75, 0, 1, "", "_static_take"], [75, 0, 1, "", "_static_trim_zeros"], [75, 0, 1, "", "_static_unique_consecutive"], [75, 0, 1, "", "as_strided"], [75, 0, 1, "", "associative_scan"], [75, 0, 1, "", "atleast_1d"], [75, 0, 1, "", "atleast_2d"], [75, 0, 1, "", "atleast_3d"], [75, 0, 1, "", "broadcast_shapes"], [75, 0, 1, "", "column_stack"], [75, 0, 1, "", "concat_from_sequence"], [75, 0, 1, "", "dsplit"], [75, 0, 1, "", "dstack"], [75, 0, 1, "", "expand"], [75, 0, 1, "", "fill_diagonal"], [75, 0, 1, "", "flatten"], [75, 0, 1, "", "fliplr"], [75, 0, 1, "", "flipud"], [75, 0, 1, "", "fold"], [75, 0, 1, "", "heaviside"], [75, 0, 1, "", "hsplit"], [75, 0, 1, "", "hstack"], [75, 0, 1, "", "i0"], [75, 0, 1, "", "matricize"], [75, 0, 1, "", "moveaxis"], [75, 0, 1, "", "pad"], [75, 0, 1, "", "partial_fold"], [75, 0, 1, "", "partial_tensor_to_vec"], [75, 0, 1, "", "partial_unfold"], [75, 0, 1, "", "partial_vec_to_tensor"], [75, 0, 1, "", "put_along_axis"], [75, 0, 1, "", "rot90"], [75, 0, 1, "", "soft_thresholding"], [75, 0, 1, "", "static_as_strided"], [75, 0, 1, "", "static_atleast_1d"], [75, 0, 1, "", "static_atleast_2d"], [75, 0, 1, "", "static_atleast_3d"], [75, 0, 1, "", "static_broadcast_shapes"], [75, 0, 1, "", "static_column_stack"], [75, 0, 1, "", "static_concat_from_sequence"], [75, 0, 1, "", "static_dsplit"], [75, 0, 1, "", "static_dstack"], [75, 0, 1, "", "static_expand"], [75, 0, 1, "", "static_flatten"], [75, 0, 1, "", "static_fliplr"], [75, 0, 1, "", "static_flipud"], [75, 0, 1, "", "static_fold"], [75, 0, 1, "", "static_heaviside"], [75, 0, 1, "", "static_hsplit"], [75, 0, 1, "", "static_hstack"], [75, 0, 1, "", "static_i0"], [75, 0, 1, "", "static_matricize"], [75, 0, 1, "", "static_moveaxis"], [75, 0, 1, "", "static_pad"], [75, 0, 1, "", "static_partial_fold"], [75, 0, 1, "", "static_partial_tensor_to_vec"], [75, 0, 1, "", "static_partial_unfold"], [75, 0, 1, "", "static_partial_vec_to_tensor"], [75, 0, 1, "", "static_rot90"], [75, 0, 1, "", "static_soft_thresholding"], [75, 0, 1, "", "static_take_along_axis"], [75, 0, 1, "", "static_top_k"], [75, 0, 1, "", "static_unfold"], [75, 0, 1, "", "static_vsplit"], [75, 0, 1, "", "static_vstack"], [75, 0, 1, "", "take"], [75, 0, 1, "", "take_along_axis"], [75, 0, 1, "", "top_k"], [75, 0, 1, "", "trim_zeros"], [75, 0, 1, "", "unfold"], [75, 0, 1, "", "unique_consecutive"], [75, 0, 1, "", "vsplit"], [75, 0, 1, "", "vstack"]], "ivy.data_classes.container.experimental.norms": [[75, 1, 1, "", "_ContainerWithNormsExperimental"]], "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "batch_norm"], [75, 0, 1, "", "group_norm"], [75, 0, 1, "", "instance_norm"], [75, 0, 1, "", "l1_normalize"], [75, 0, 1, "", "l2_normalize"], [75, 0, 1, "", "lp_normalize"], [75, 0, 1, "", "static_batch_norm"], [75, 0, 1, "", "static_group_norm"], [75, 0, 1, "", "static_instance_norm"], [75, 0, 1, "", "static_l1_normalize"], [75, 0, 1, "", "static_l2_normalize"], [75, 0, 1, "", "static_lp_normalize"]], "ivy.data_classes.container.experimental.random": [[75, 1, 1, "", "_ContainerWithRandomExperimental"]], "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "bernoulli"], [75, 0, 1, "", "beta"], [75, 0, 1, "", "dirichlet"], [75, 0, 1, "", "gamma"], [75, 0, 1, "", "poisson"], [75, 0, 1, "", "static_bernoulli"], [75, 0, 1, "", "static_beta"], [75, 0, 1, "", "static_dirichlet"], [75, 0, 1, "", "static_gamma"], [75, 0, 1, "", "static_poisson"]], "ivy.data_classes.container.experimental.searching": [[75, 1, 1, "", "_ContainerWithSearchingExperimental"]], "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "static_unravel_index"], [75, 0, 1, "", "unravel_index"]], "ivy.data_classes.container.experimental.set": [[75, 1, 1, "", "_ContainerWithSetExperimental"]], "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental": [[75, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.experimental.sorting": [[75, 1, 1, "", "_ContainerWithSortingExperimental"]], "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "invert_permutation"], [75, 0, 1, "", "lexsort"], [75, 0, 1, "", "static_invert_permutation"], [75, 0, 1, "", "static_lexsort"]], "ivy.data_classes.container.experimental.statistical": [[75, 1, 1, "", "_ContainerWithStatisticalExperimental"]], "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "_static_cummax"], [75, 0, 1, "", "_static_cummin"], [75, 0, 1, "", "_static_nanmin"], [75, 0, 1, "", "bincount"], [75, 0, 1, "", "corrcoef"], [75, 0, 1, "", "cov"], [75, 0, 1, "", "cummax"], [75, 0, 1, "", "cummin"], [75, 0, 1, "", "histogram"], [75, 0, 1, "", "igamma"], [75, 0, 1, "", "median"], [75, 0, 1, "", "nanmean"], [75, 0, 1, "", "nanmedian"], [75, 0, 1, "", "nanmin"], [75, 0, 1, "", "nanprod"], [75, 0, 1, "", "quantile"], [75, 0, 1, "", "static_bincount"], [75, 0, 1, "", "static_corrcoef"], [75, 0, 1, "", "static_cov"], [75, 0, 1, "", "static_histogram"], [75, 0, 1, "", "static_igamma"], [75, 0, 1, "", "static_median"], [75, 0, 1, "", "static_nanmean"], [75, 0, 1, "", "static_nanmedian"], [75, 0, 1, "", "static_nanprod"], [75, 0, 1, "", "static_quantile"]], "ivy.data_classes.container.experimental.utility": [[75, 1, 1, "", "_ContainerWithUtilityExperimental"]], "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental": [[75, 4, 1, "", "_abc_impl"], [75, 0, 1, "", "optional_get_element"], [75, 0, 1, "", "static_optional_get_element"]], "ivy.data_classes.container.general": [[76, 1, 1, "", "_ContainerWithGeneral"]], "ivy.data_classes.container.general._ContainerWithGeneral": [[76, 4, 1, "", "_abc_impl"], [76, 0, 1, "", "_static_all_equal"], [76, 0, 1, "", "_static_array_equal"], [76, 0, 1, "", "_static_assert_supports_inplace"], [76, 0, 1, "", "_static_clip_matrix_norm"], [76, 0, 1, "", "_static_clip_vector_norm"], [76, 0, 1, "", "_static_einops_rearrange"], [76, 0, 1, "", "_static_einops_reduce"], [76, 0, 1, "", "_static_einops_repeat"], [76, 0, 1, "", "_static_exists"], [76, 0, 1, "", "_static_fourier_encode"], [76, 0, 1, "", "_static_gather"], [76, 0, 1, "", "_static_gather_nd"], [76, 0, 1, "", "_static_get_num_dims"], [76, 0, 1, "", "_static_has_nans"], [76, 0, 1, "", "_static_inplace_decrement"], [76, 0, 1, "", "_static_inplace_increment"], [76, 0, 1, "", "_static_inplace_update"], [76, 0, 1, "", "_static_is_array"], [76, 0, 1, "", "_static_is_ivy_array"], [76, 0, 1, "", "_static_is_native_array"], [76, 0, 1, "", "_static_scatter_flat"], [76, 0, 1, "", "_static_scatter_nd"], [76, 0, 1, "", "_static_stable_divide"], [76, 0, 1, "", "_static_stable_pow"], [76, 0, 1, "", "_static_supports_inplace_updates"], [76, 0, 1, "", "_static_to_list"], [76, 0, 1, "", "_static_to_numpy"], [76, 0, 1, "", "_static_to_scalar"], [76, 0, 1, "", "_static_value_is_nan"], [76, 0, 1, "", "all_equal"], [76, 0, 1, "", "array_equal"], [76, 0, 1, "", "assert_supports_inplace"], [76, 0, 1, "", "clip_matrix_norm"], [76, 0, 1, "", "clip_vector_norm"], [76, 0, 1, "", "einops_rearrange"], [76, 0, 1, "", "einops_reduce"], [76, 0, 1, "", "einops_repeat"], [76, 0, 1, "", "exists"], [76, 0, 1, "", "fourier_encode"], [76, 0, 1, "", "gather"], [76, 0, 1, "", "gather_nd"], [76, 0, 1, "", "get_num_dims"], [76, 0, 1, "", "has_nans"], [76, 0, 1, "", "inplace_decrement"], [76, 0, 1, "", "inplace_increment"], [76, 0, 1, "", "inplace_update"], [76, 0, 1, "", "is_array"], [76, 0, 1, "", "is_ivy_array"], [76, 0, 1, "", "is_native_array"], [76, 0, 1, "", "isin"], [76, 0, 1, "", "itemsize"], [76, 0, 1, "", "scatter_flat"], [76, 0, 1, "", "scatter_nd"], [76, 0, 1, "", "stable_divide"], [76, 0, 1, "", "stable_pow"], [76, 0, 1, "", "static_isin"], [76, 0, 1, "", "static_itemsize"], [76, 0, 1, "", "static_strides"], [76, 0, 1, "", "strides"], [76, 0, 1, "", "supports_inplace_updates"], [76, 0, 1, "", "to_list"], [76, 0, 1, "", "to_numpy"], [76, 0, 1, "", "to_scalar"], [76, 0, 1, "", "value_is_nan"]], "ivy.data_classes.container.gradients": [[77, 1, 1, "", "_ContainerWithGradients"]], "ivy.data_classes.container.gradients._ContainerWithGradients": [[77, 4, 1, "", "_abc_impl"], [77, 0, 1, "", "_static_stop_gradient"], [77, 0, 1, "", "adam_step"], [77, 0, 1, "", "adam_update"], [77, 0, 1, "", "gradient_descent_update"], [77, 0, 1, "", "lamb_update"], [77, 0, 1, "", "lars_update"], [77, 0, 1, "", "optimizer_update"], [77, 0, 1, "", "stop_gradient"]], "ivy.data_classes.container.image": [[78, 1, 1, "", "_ContainerWithImage"]], "ivy.data_classes.container.image._ContainerWithImage": [[78, 4, 1, "", "_abc_impl"]], "ivy.data_classes.container.layers": [[79, 1, 1, "", "_ContainerWithLayers"]], "ivy.data_classes.container.layers._ContainerWithLayers": [[79, 4, 1, "", "_abc_impl"], [79, 0, 1, "", "_static_conv1d"], [79, 0, 1, "", "_static_conv1d_transpose"], [79, 0, 1, "", "_static_conv2d"], [79, 0, 1, "", "_static_conv2d_transpose"], [79, 0, 1, "", "_static_conv3d"], [79, 0, 1, "", "_static_conv3d_transpose"], [79, 0, 1, "", "_static_depthwise_conv2d"], [79, 0, 1, "", "_static_dropout"], [79, 0, 1, "", "_static_dropout1d"], [79, 0, 1, "", "_static_dropout2d"], [79, 0, 1, "", "_static_dropout3d"], [79, 0, 1, "", "_static_linear"], [79, 0, 1, "", "_static_lstm_update"], [79, 0, 1, "", "_static_multi_head_attention"], [79, 0, 1, "", "_static_reduce_window"], [79, 0, 1, "", "_static_scaled_dot_product_attention"], [79, 0, 1, "", "conv1d"], [79, 0, 1, "", "conv1d_transpose"], [79, 0, 1, "", "conv2d"], [79, 0, 1, "", "conv2d_transpose"], [79, 0, 1, "", "conv3d"], [79, 0, 1, "", "conv3d_transpose"], [79, 0, 1, "", "depthwise_conv2d"], [79, 0, 1, "", "dropout"], [79, 0, 1, "", "dropout1d"], [79, 0, 1, "", "dropout2d"], [79, 0, 1, "", "dropout3d"], [79, 0, 1, "", "linear"], [79, 0, 1, "", "lstm_update"], [79, 0, 1, "", "multi_head_attention"], [79, 0, 1, "", "reduce_window"], [79, 0, 1, "", "scaled_dot_product_attention"]], "ivy.data_classes.container.linear_algebra": [[80, 1, 1, "", "_ContainerWithLinearAlgebra"]], "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra": [[80, 4, 1, "", "_abc_impl"], [80, 0, 1, "", "_static_cholesky"], [80, 0, 1, "", "_static_cross"], [80, 0, 1, "", "_static_det"], [80, 0, 1, "", "_static_diag"], [80, 0, 1, "", "_static_diagonal"], [80, 0, 1, "", "_static_eigh"], [80, 0, 1, "", "_static_eigvalsh"], [80, 0, 1, "", "_static_inner"], [80, 0, 1, "", "_static_inv"], [80, 0, 1, "", "_static_matmul"], [80, 0, 1, "", "_static_matrix_norm"], [80, 0, 1, "", "_static_matrix_power"], [80, 0, 1, "", "_static_matrix_rank"], [80, 0, 1, "", "_static_matrix_transpose"], [80, 0, 1, "", "_static_outer"], [80, 0, 1, "", "_static_pinv"], [80, 0, 1, "", "_static_qr"], [80, 0, 1, "", "_static_slogdet"], [80, 0, 1, "", "_static_solve"], [80, 0, 1, "", "_static_svd"], [80, 0, 1, "", "_static_svdvals"], [80, 0, 1, "", "_static_tensordot"], [80, 0, 1, "", "_static_tensorsolve"], [80, 0, 1, "", "_static_trace"], [80, 0, 1, "", "_static_vander"], [80, 0, 1, "", "_static_vecdot"], [80, 0, 1, "", "_static_vector_norm"], [80, 0, 1, "", "_static_vector_to_skew_symmetric_matrix"], [80, 0, 1, "", "cholesky"], [80, 0, 1, "", "cross"], [80, 0, 1, "", "det"], [80, 0, 1, "", "diag"], [80, 0, 1, "", "diagonal"], [80, 0, 1, "", "eigh"], [80, 0, 1, "", "eigvalsh"], [80, 0, 1, "", "general_inner_product"], [80, 0, 1, "", "inner"], [80, 0, 1, "", "inv"], [80, 0, 1, "", "matmul"], [80, 0, 1, "", "matrix_norm"], [80, 0, 1, "", "matrix_power"], [80, 0, 1, "", "matrix_rank"], [80, 0, 1, "", "matrix_transpose"], [80, 0, 1, "", "outer"], [80, 0, 1, "", "pinv"], [80, 0, 1, "", "qr"], [80, 0, 1, "", "slogdet"], [80, 0, 1, "", "solve"], [80, 0, 1, "", "static_general_inner_product"], [80, 0, 1, "", "svd"], [80, 0, 1, "", "svdvals"], [80, 0, 1, "", "tensordot"], [80, 0, 1, "", "tensorsolve"], [80, 0, 1, "", "trace"], [80, 0, 1, "", "vander"], [80, 0, 1, "", "vecdot"], [80, 0, 1, "", "vector_norm"], [80, 0, 1, "", "vector_to_skew_symmetric_matrix"]], "ivy.data_classes.container.losses": [[81, 1, 1, "", "_ContainerWithLosses"]], "ivy.data_classes.container.losses._ContainerWithLosses": [[81, 4, 1, "", "_abc_impl"], [81, 0, 1, "", "_static_binary_cross_entropy"], [81, 0, 1, "", "_static_cross_entropy"], [81, 0, 1, "", "_static_sparse_cross_entropy"], [81, 0, 1, "", "binary_cross_entropy"], [81, 0, 1, "", "cross_entropy"], [81, 0, 1, "", "sparse_cross_entropy"]], "ivy.data_classes.container.manipulation": [[82, 1, 1, "", "_ContainerWithManipulation"]], "ivy.data_classes.container.manipulation._ContainerWithManipulation": [[82, 4, 1, "", "_abc_impl"], [82, 0, 1, "", "_static_clip"], [82, 0, 1, "", "_static_concat"], [82, 0, 1, "", "_static_constant_pad"], [82, 0, 1, "", "_static_expand_dims"], [82, 0, 1, "", "_static_flip"], [82, 0, 1, "", "_static_permute_dims"], [82, 0, 1, "", "_static_repeat"], [82, 0, 1, "", "_static_reshape"], [82, 0, 1, "", "_static_roll"], [82, 0, 1, "", "_static_split"], [82, 0, 1, "", "_static_squeeze"], [82, 0, 1, "", "_static_stack"], [82, 0, 1, "", "_static_swapaxes"], [82, 0, 1, "", "_static_tile"], [82, 0, 1, "", "_static_unstack"], [82, 0, 1, "", "_static_zero_pad"], [82, 0, 1, "", "clip"], [82, 0, 1, "", "concat"], [82, 0, 1, "", "constant_pad"], [82, 0, 1, "", "expand_dims"], [82, 0, 1, "", "flip"], [82, 0, 1, "", "permute_dims"], [82, 0, 1, "", "repeat"], [82, 0, 1, "", "reshape"], [82, 0, 1, "", "roll"], [82, 0, 1, "", "split"], [82, 0, 1, "", "squeeze"], [82, 0, 1, "", "stack"], [82, 0, 1, "", "swapaxes"], [82, 0, 1, "", "tile"], [82, 0, 1, "", "unstack"], [82, 0, 1, "", "zero_pad"]], "ivy.data_classes.container.norms": [[83, 1, 1, "", "_ContainerWithNorms"]], "ivy.data_classes.container.norms._ContainerWithNorms": [[83, 4, 1, "", "_abc_impl"], [83, 0, 1, "", "layer_norm"]], "ivy.data_classes.container.random": [[84, 1, 1, "", "_ContainerWithRandom"]], "ivy.data_classes.container.random._ContainerWithRandom": [[84, 4, 1, "", "_abc_impl"], [84, 0, 1, "", "_static_multinomial"], [84, 0, 1, "", "_static_randint"], [84, 0, 1, "", "_static_random_normal"], [84, 0, 1, "", "_static_random_uniform"], [84, 0, 1, "", "_static_shuffle"], [84, 0, 1, "", "multinomial"], [84, 0, 1, "", "randint"], [84, 0, 1, "", "random_normal"], [84, 0, 1, "", "random_uniform"], [84, 0, 1, "", "shuffle"]], "ivy.data_classes.container.searching": [[85, 1, 1, "", "_ContainerWithSearching"]], "ivy.data_classes.container.searching._ContainerWithSearching": [[85, 4, 1, "", "_abc_impl"], [85, 0, 1, "", "_static_argmax"], [85, 0, 1, "", "_static_argmin"], [85, 0, 1, "", "_static_argwhere"], [85, 0, 1, "", "_static_nonzero"], [85, 0, 1, "", "_static_where"], [85, 0, 1, "", "argmax"], [85, 0, 1, "", "argmin"], [85, 0, 1, "", "argwhere"], [85, 0, 1, "", "nonzero"], [85, 0, 1, "", "where"]], "ivy.data_classes.container.set": [[86, 1, 1, "", "_ContainerWithSet"]], "ivy.data_classes.container.set._ContainerWithSet": [[86, 4, 1, "", "_abc_impl"], [86, 0, 1, "", "_static_unique_all"], [86, 0, 1, "", "_static_unique_counts"], [86, 0, 1, "", "_static_unique_inverse"], [86, 0, 1, "", "_static_unique_values"], [86, 0, 1, "", "unique_all"], [86, 0, 1, "", "unique_counts"], [86, 0, 1, "", "unique_inverse"], [86, 0, 1, "", "unique_values"]], "ivy.data_classes.container.sorting": [[87, 1, 1, "", "_ContainerWithSorting"]], "ivy.data_classes.container.sorting._ContainerWithSorting": [[87, 4, 1, "", "_abc_impl"], [87, 0, 1, "", "_static_argsort"], [87, 0, 1, "", "_static_searchsorted"], [87, 0, 1, "", "_static_sort"], [87, 0, 1, "", "argsort"], [87, 0, 1, "", "msort"], [87, 0, 1, "", "searchsorted"], [87, 0, 1, "", "sort"], [87, 0, 1, "", "static_msort"]], "ivy.data_classes.container.statistical": [[88, 1, 1, "", "_ContainerWithStatistical"]], "ivy.data_classes.container.statistical._ContainerWithStatistical": [[88, 4, 1, "", "_abc_impl"], [88, 0, 1, "", "_static_cumprod"], [88, 0, 1, "", "_static_cumsum"], [88, 0, 1, "", "_static_min"], [88, 0, 1, "", "_static_prod"], [88, 0, 1, "", "_static_sum"], [88, 0, 1, "", "_static_var"], [88, 0, 1, "", "cumprod"], [88, 0, 1, "", "cumsum"], [88, 0, 1, "", "einsum"], [88, 0, 1, "", "max"], [88, 0, 1, "", "mean"], [88, 0, 1, "", "min"], [88, 0, 1, "", "prod"], [88, 0, 1, "", "std"], [88, 0, 1, "", "sum"], [88, 0, 1, "", "var"]], "ivy.data_classes.container.utility": [[89, 1, 1, "", "_ContainerWithUtility"]], "ivy.data_classes.container.utility._ContainerWithUtility": [[89, 4, 1, "", "_abc_impl"], [89, 0, 1, "", "_static_all"], [89, 0, 1, "", "_static_any"], [89, 0, 1, "", "all"], [89, 0, 1, "", "any"]], "ivy.data_classes.container.wrapping": [[90, 2, 1, "", "_wrap_function"], [90, 2, 1, "", "add_ivy_container_instance_methods"]], "ivy.data_classes.factorized_tensor": [[91, 3, 0, "-", "base"], [92, 3, 0, "-", "cp_tensor"], [93, 3, 0, "-", "parafac2_tensor"], [94, 3, 0, "-", "tr_tensor"], [95, 3, 0, "-", "tt_tensor"], [96, 3, 0, "-", "tucker_tensor"]], "ivy.data_classes.factorized_tensor.base": [[91, 1, 1, "", "FactorizedTensor"]], "ivy.data_classes.factorized_tensor.base.FactorizedTensor": [[91, 0, 1, "", "__init__"], [91, 4, 1, "", "_abc_impl"], [91, 0, 1, "", "mode_dot"], [91, 0, 1, "", "norm"], [91, 0, 1, "", "to_tensor"], [91, 0, 1, "", "to_unfolded"], [91, 0, 1, "", "to_vec"]], "ivy.data_classes.factorized_tensor.cp_tensor": [[92, 1, 1, "", "CPTensor"]], "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor": [[92, 0, 1, "", "__init__"], [92, 4, 1, "", "_abc_impl"], [92, 0, 1, "", "cp_copy"], [92, 0, 1, "", "cp_flip_sign"], [92, 0, 1, "", "cp_lstsq_grad"], [92, 0, 1, "", "cp_mode_dot"], [92, 0, 1, "", "cp_n_param"], [92, 0, 1, "", "cp_norm"], [92, 0, 1, "", "cp_normalize"], [92, 0, 1, "", "cp_to_tensor"], [92, 0, 1, "", "cp_to_unfolded"], [92, 0, 1, "", "cp_to_vec"], [92, 0, 1, "", "mode_dot"], [92, 5, 1, "", "n_param"], [92, 0, 1, "", "norm"], [92, 0, 1, "", "normalize"], [92, 0, 1, "", "to_tensor"], [92, 0, 1, "", "to_unfolded"], [92, 0, 1, "", "to_vec"], [92, 0, 1, "", "unfolding_dot_khatri_rao"], [92, 0, 1, "", "validate_cp_rank"], [92, 0, 1, "", "validate_cp_tensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor": [[93, 1, 1, "", "Parafac2Tensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor": [[93, 0, 1, "", "__init__"], [93, 4, 1, "", "_abc_impl"], [93, 0, 1, "", "apply_parafac2_projections"], [93, 0, 1, "", "from_CPTensor"], [93, 5, 1, "", "n_param"], [93, 0, 1, "", "parafac2_normalise"], [93, 0, 1, "", "parafac2_to_slice"], [93, 0, 1, "", "parafac2_to_slices"], [93, 0, 1, "", "parafac2_to_tensor"], [93, 0, 1, "", "parafac2_to_unfolded"], [93, 0, 1, "", "parafac2_to_vec"], [93, 0, 1, "", "to_tensor"], [93, 0, 1, "", "to_unfolded"], [93, 0, 1, "", "to_vec"], [93, 0, 1, "", "validate_parafac2_tensor"]], "ivy.data_classes.factorized_tensor.tr_tensor": [[94, 1, 1, "", "TRTensor"]], "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor": [[94, 0, 1, "", "__init__"], [94, 4, 1, "", "_abc_impl"], [94, 5, 1, "", "n_param"], [94, 0, 1, "", "to_tensor"], [94, 0, 1, "", "to_unfolded"], [94, 0, 1, "", "to_vec"], [94, 0, 1, "", "tr_n_param"], [94, 0, 1, "", "tr_to_tensor"], [94, 0, 1, "", "tr_to_unfolded"], [94, 0, 1, "", "tr_to_vec"], [94, 0, 1, "", "validate_tr_rank"], [94, 0, 1, "", "validate_tr_tensor"]], "ivy.data_classes.factorized_tensor.tt_tensor": [[95, 1, 1, "", "TTTensor"]], "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor": [[95, 0, 1, "", "__init__"], [95, 4, 1, "", "_abc_impl"], [95, 0, 1, "", "_tt_n_param"], [95, 0, 1, "", "index_update"], [95, 5, 1, "", "n_param"], [95, 0, 1, "", "pad_tt_rank"], [95, 0, 1, "", "to_tensor"], [95, 0, 1, "", "to_unfolding"], [95, 0, 1, "", "to_vec"], [95, 0, 1, "", "tt_to_tensor"], [95, 0, 1, "", "tt_to_unfolded"], [95, 0, 1, "", "tt_to_vec"], [95, 0, 1, "", "validate_tt_rank"], [95, 0, 1, "", "validate_tt_tensor"]], "ivy.data_classes.factorized_tensor.tucker_tensor": [[96, 1, 1, "", "TuckerTensor"], [96, 2, 1, "", "_bisection_root_finder"]], "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor": [[96, 0, 1, "", "__init__"], [96, 4, 1, "", "_abc_impl"], [96, 0, 1, "", "mode_dot"], [96, 5, 1, "", "n_param"], [96, 0, 1, "", "to_tensor"], [96, 0, 1, "", "to_unfolded"], [96, 0, 1, "", "to_vec"], [96, 0, 1, "", "tucker_copy"], [96, 0, 1, "", "tucker_mode_dot"], [96, 0, 1, "", "tucker_n_param"], [96, 0, 1, "", "tucker_normalize"], [96, 0, 1, "", "tucker_to_tensor"], [96, 0, 1, "", "tucker_to_unfolded"], [96, 0, 1, "", "tucker_to_vec"], [96, 0, 1, "", "validate_tucker_rank"], [96, 0, 1, "", "validate_tucker_tensor"]], "ivy.data_classes.nested_array": [[101, 3, 0, "-", "base"], [102, 3, 0, "-", "elementwise"], [100, 3, 0, "-", "nested_array"]], "ivy.data_classes.nested_array.base": [[101, 1, 1, "", "NestedArrayBase"]], "ivy.data_classes.nested_array.base.NestedArrayBase": [[101, 0, 1, "", "__init__"], [101, 4, 1, "", "_abc_impl"], [101, 0, 1, "", "broadcast_shapes"], [101, 5, 1, "", "data"], [101, 5, 1, "", "device"], [101, 5, 1, "", "dtype"], [101, 5, 1, "", "inner_shape"], [101, 5, 1, "", "ndim"], [101, 0, 1, "", "nested_array"], [101, 5, 1, "", "nested_rank"], [101, 0, 1, "", "ragged_map"], [101, 0, 1, "", "ragged_multi_map"], [101, 0, 1, "", "ragged_multi_map_in_function"], [101, 0, 1, "", "replace_ivy_arrays"], [101, 5, 1, "", "shape"], [101, 0, 1, "", "unbind"]], "ivy.data_classes.nested_array.elementwise": [[102, 1, 1, "", "NestedArrayElementwise"]], "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise": [[102, 4, 1, "", "_abc_impl"], [102, 0, 1, "", "static_add"]], "ivy.data_classes.nested_array.nested_array": [[100, 1, 1, "", "NestedArray"]], "ivy.data_classes.nested_array.nested_array.NestedArray": [[100, 0, 1, "", "__init__"], [100, 0, 1, "", "from_row_lengths"], [100, 0, 1, "", "from_row_splits"]], "ivy.functional.ivy": [[613, 3, 0, "-", "activations"], [614, 3, 0, "-", "constants"], [615, 3, 0, "-", "control_flow_ops"], [616, 3, 0, "-", "creation"], [617, 3, 0, "-", "data_type"], [618, 3, 0, "-", "device"], [619, 3, 0, "-", "elementwise"], [620, 3, 0, "-", "experimental"], [621, 3, 0, "-", "general"], [622, 3, 0, "-", "gradients"], [623, 3, 0, "-", "layers"], [624, 3, 0, "-", "linear_algebra"], [625, 3, 0, "-", "losses"], [626, 3, 0, "-", "manipulation"], [627, 3, 0, "-", "meta"], [628, 3, 0, "-", "nest"], [629, 3, 0, "-", "norms"], [630, 3, 0, "-", "random"], [631, 3, 0, "-", "searching"], [632, 3, 0, "-", "set"], [633, 3, 0, "-", "sorting"], [634, 3, 0, "-", "statistical"], [635, 3, 0, "-", "utility"]], "ivy.functional.ivy.experimental": [[360, 3, 0, "-", "activations"], [361, 3, 0, "-", "constants"], [362, 3, 0, "-", "creation"], [363, 3, 0, "-", "data_type"], [364, 3, 0, "-", "device"], [365, 3, 0, "-", "elementwise"], [366, 3, 0, "-", "general"], [367, 3, 0, "-", "gradients"], [368, 3, 0, "-", "layers"], [369, 3, 0, "-", "linear_algebra"], [370, 3, 0, "-", "losses"], [371, 3, 0, "-", "manipulation"], [372, 3, 0, "-", "meta"], [373, 3, 0, "-", "nest"], [374, 3, 0, "-", "norms"], [375, 3, 0, "-", "random"], [376, 3, 0, "-", "searching"], [377, 3, 0, "-", "set"], [378, 3, 0, "-", "sorting"], [379, 3, 0, "-", "sparse_array"], [380, 3, 0, "-", "statistical"], [381, 3, 0, "-", "utility"]], "ivy.stateful": [[775, 3, 0, "-", "activations"], [776, 3, 0, "-", "converters"], [777, 3, 0, "-", "helpers"], [778, 3, 0, "-", "initializers"], [779, 3, 0, "-", "layers"], [780, 3, 0, "-", "losses"], [781, 3, 0, "-", "module"], [782, 3, 0, "-", "norms"], [783, 3, 0, "-", "optimizers"], [784, 3, 0, "-", "sequential"]], "ivy.stateful.activations": [[775, 1, 1, "", "ELU"], [775, 1, 1, "", "GEGLU"], [775, 1, 1, "", "GELU"], [775, 1, 1, "", "Hardswish"], [775, 1, 1, "", "LeakyReLU"], [775, 1, 1, "", "LogSigmoid"], [775, 1, 1, "", "LogSoftmax"], [775, 1, 1, "", "Logit"], [775, 1, 1, "", "Mish"], [775, 1, 1, "", "PReLU"], [775, 1, 1, "", "ReLU"], [775, 1, 1, "", "ReLU6"], [775, 1, 1, "", "SeLU"], [775, 1, 1, "", "SiLU"], [775, 1, 1, "", "Sigmoid"], [775, 1, 1, "", "Softmax"], [775, 1, 1, "", "Softplus"], [775, 1, 1, "", "Tanh"]], "ivy.stateful.activations.ELU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.GEGLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.GELU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Hardswish": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LeakyReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LogSigmoid": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.LogSoftmax": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Logit": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Mish": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.PReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.ReLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.ReLU6": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.SeLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.SiLU": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Sigmoid": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Softmax": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Softplus": [[775, 0, 1, "", "__init__"]], "ivy.stateful.activations.Tanh": [[775, 0, 1, "", "__init__"]], "ivy.stateful.converters": [[776, 1, 1, "", "ModuleConverters"], [776, 2, 1, "", "to_ivy_module"]], "ivy.stateful.converters.ModuleConverters": [[776, 0, 1, "", "from_flax_module"], [776, 0, 1, "", "from_haiku_module"], [776, 0, 1, "", "from_keras_module"], [776, 0, 1, "", "from_paddle_module"], [776, 0, 1, "", "from_torch_module"], [776, 0, 1, "", "to_keras_module"]], "ivy.stateful.helpers": [[777, 1, 1, "", "ModuleHelpers"]], "ivy.stateful.initializers": [[778, 1, 1, "", "Constant"], [778, 1, 1, "", "FirstLayerSiren"], [778, 1, 1, "", "GlorotUniform"], [778, 1, 1, "", "Initializer"], [778, 1, 1, "", "KaimingNormal"], [778, 1, 1, "", "Ones"], [778, 1, 1, "", "RandomNormal"], [778, 1, 1, "", "Siren"], [778, 1, 1, "", "Uniform"], [778, 1, 1, "", "Zeros"]], "ivy.stateful.initializers.Constant": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.FirstLayerSiren": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.GlorotUniform": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.Initializer": [[778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.KaimingNormal": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Ones": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.RandomNormal": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Siren": [[778, 0, 1, "", "__init__"]], "ivy.stateful.initializers.Uniform": [[778, 0, 1, "", "__init__"], [778, 0, 1, "", "create_variables"]], "ivy.stateful.initializers.Zeros": [[778, 0, 1, "", "__init__"]], "ivy.stateful.layers": [[779, 1, 1, "", "AdaptiveAvgPool1d"], [779, 1, 1, "", "AdaptiveAvgPool2d"], [779, 1, 1, "", "AvgPool1D"], [779, 1, 1, "", "AvgPool2D"], [779, 1, 1, "", "AvgPool3D"], [779, 1, 1, "", "Conv1D"], [779, 1, 1, "", "Conv1DTranspose"], [779, 1, 1, "", "Conv2D"], [779, 1, 1, "", "Conv2DTranspose"], [779, 1, 1, "", "Conv3D"], [779, 1, 1, "", "Conv3DTranspose"], [779, 1, 1, "", "Dct"], [779, 1, 1, "", "DepthwiseConv2D"], [779, 1, 1, "", "Dropout"], [779, 1, 1, "", "Embedding"], [779, 1, 1, "", "FFT"], [779, 1, 1, "", "IFFT"], [779, 1, 1, "", "Identity"], [779, 1, 1, "", "LSTM"], [779, 1, 1, "", "Linear"], [779, 1, 1, "", "MaxPool1D"], [779, 1, 1, "", "MaxPool2D"], [779, 1, 1, "", "MaxPool3D"], [779, 1, 1, "", "MultiHeadAttention"]], "ivy.stateful.layers.AdaptiveAvgPool1d": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AdaptiveAvgPool2d": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.AvgPool3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv1DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv2DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Conv3DTranspose": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Dct": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.DepthwiseConv2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Dropout": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Embedding": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.FFT": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.IFFT": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.Identity": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.LSTM": [[779, 0, 1, "", "__init__"], [779, 0, 1, "", "get_initial_state"]], "ivy.stateful.layers.Linear": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool1D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool2D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MaxPool3D": [[779, 0, 1, "", "__init__"]], "ivy.stateful.layers.MultiHeadAttention": [[779, 0, 1, "", "__init__"]], "ivy.stateful.losses": [[780, 1, 1, "", "BinaryCrossEntropyLoss"], [780, 1, 1, "", "CrossEntropyLoss"], [780, 1, 1, "", "LogPoissonLoss"]], "ivy.stateful.losses.BinaryCrossEntropyLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.losses.CrossEntropyLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.losses.LogPoissonLoss": [[780, 0, 1, "", "__init__"]], "ivy.stateful.module": [[781, 1, 1, "", "Module"], [781, 1, 1, "", "ModuleMeta"]], "ivy.stateful.module.Module": [[781, 0, 1, "", "__call__"], [781, 0, 1, "", "__init__"], [781, 5, 1, "", "buffers"], [781, 0, 1, "", "build"], [781, 5, 1, "", "build_mode"], [781, 5, 1, "", "built"], [781, 5, 1, "", "device"], [781, 5, 1, "", "dtype"], [781, 0, 1, "", "eval"], [781, 0, 1, "", "load"], [781, 5, 1, "", "module_dict"], [781, 0, 1, "", "register_buffer"], [781, 0, 1, "", "register_parameter"], [781, 0, 1, "", "save"], [781, 0, 1, "", "save_weights"], [781, 0, 1, "", "show_graph"], [781, 5, 1, "", "state_dict"], [781, 0, 1, "", "to_device"], [781, 0, 1, "", "trace_graph"], [781, 0, 1, "", "train"], [781, 5, 1, "", "training"], [781, 5, 1, "", "v"]], "ivy.stateful.norms": [[782, 1, 1, "", "BatchNorm2D"], [782, 1, 1, "", "LayerNorm"]], "ivy.stateful.norms.BatchNorm2D": [[782, 0, 1, "", "__init__"]], "ivy.stateful.norms.LayerNorm": [[782, 0, 1, "", "__init__"]], "ivy.stateful.optimizers": [[783, 1, 1, "", "Adam"], [783, 1, 1, "", "AdamW"], [783, 1, 1, "", "LAMB"], [783, 1, 1, "", "LARS"], [783, 1, 1, "", "Optimizer"], [783, 1, 1, "", "SGD"]], "ivy.stateful.optimizers.Adam": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.AdamW": [[783, 0, 1, "", "__init__"]], "ivy.stateful.optimizers.LAMB": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.LARS": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.optimizers.Optimizer": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 0, 1, "", "step"]], "ivy.stateful.optimizers.SGD": [[783, 0, 1, "", "__init__"], [783, 0, 1, "", "set_state"], [783, 5, 1, "", "state"]], "ivy.stateful.sequential": [[784, 1, 1, "", "Sequential"]], "ivy.stateful.sequential.Sequential": [[784, 0, 1, "", "__init__"]], "ivy.utils": [[785, 3, 0, "-", "assertions"], [786, 3, 0, "-", "backend"], [790, 3, 0, "-", "binaries"], [791, 3, 0, "-", "dynamic_import"], [792, 3, 0, "-", "einsum_parser"], [793, 3, 0, "-", "einsum_path_helpers"], [794, 3, 0, "-", "exceptions"], [795, 3, 0, "-", "inspection"], [796, 3, 0, "-", "logging"], [797, 3, 0, "-", "profiler"], [798, 3, 0, "-", "verbosity"]], "ivy.utils.assertions": [[785, 2, 1, "", "check_all"], [785, 2, 1, "", "check_all_or_any_fn"], [785, 2, 1, "", "check_any"], [785, 2, 1, "", "check_dev_correct_formatting"], [785, 2, 1, "", "check_dimensions"], [785, 2, 1, "", "check_elem_in_list"], [785, 2, 1, "", "check_equal"], [785, 2, 1, "", "check_exists"], [785, 2, 1, "", "check_false"], [785, 2, 1, "", "check_gather_input_valid"], [785, 2, 1, "", "check_gather_nd_input_valid"], [785, 2, 1, "", "check_greater"], [785, 2, 1, "", "check_inplace_sizes_valid"], [785, 2, 1, "", "check_isinstance"], [785, 2, 1, "", "check_kernel_padding_size"], [785, 2, 1, "", "check_less"], [785, 2, 1, "", "check_one_way_broadcastable"], [785, 2, 1, "", "check_same_dtype"], [785, 2, 1, "", "check_shape"], [785, 2, 1, "", "check_shapes_broadcastable"], [785, 2, 1, "", "check_true"], [785, 2, 1, "", "check_unsorted_segment_valid_params"]], "ivy.utils.backend": [[787, 3, 0, "-", "ast_helpers"], [788, 3, 0, "-", "handler"], [789, 3, 0, "-", "sub_backend_handler"]], "ivy.utils.backend.ast_helpers": [[787, 1, 1, "", "ImportTransformer"], [787, 1, 1, "", "IvyLoader"], [787, 1, 1, "", "IvyPathFinder"]], "ivy.utils.backend.ast_helpers.ImportTransformer": [[787, 0, 1, "", "__init__"], [787, 0, 1, "", "impersonate_import"], [787, 0, 1, "", "visit_Import"], [787, 0, 1, "", "visit_ImportFrom"]], "ivy.utils.backend.ast_helpers.IvyLoader": [[787, 0, 1, "", "__init__"], [787, 0, 1, "", "exec_module"]], "ivy.utils.backend.ast_helpers.IvyPathFinder": [[787, 0, 1, "", "find_spec"]], "ivy.utils.backend.handler": [[788, 1, 1, "", "ContextManager"], [788, 2, 1, "", "choose_random_backend"], [788, 2, 1, "", "current_backend"], [788, 2, 1, "", "dynamic_backend_converter"], [788, 2, 1, "", "prevent_access_locally"], [788, 2, 1, "", "previous_backend"], [788, 2, 1, "", "set_backend"], [788, 2, 1, "", "set_backend_to_specific_version"], [788, 2, 1, "", "set_jax_backend"], [788, 2, 1, "", "set_mxnet_backend"], [788, 2, 1, "", "set_numpy_backend"], [788, 2, 1, "", "set_paddle_backend"], [788, 2, 1, "", "set_tensorflow_backend"], [788, 2, 1, "", "set_torch_backend"], [788, 2, 1, "", "unset_backend"], [788, 2, 1, "", "with_backend"]], "ivy.utils.backend.handler.ContextManager": [[788, 0, 1, "", "__init__"]], "ivy.utils.backend.sub_backend_handler": [[789, 2, 1, "", "clear_sub_backends"], [789, 2, 1, "", "find_available_sub_backends"], [789, 2, 1, "", "fn_name_from_version_specific_fn_name"], [789, 2, 1, "", "fn_name_from_version_specific_fn_name_sub_backend"], [789, 2, 1, "", "set_sub_backend"], [789, 2, 1, "", "set_sub_backend_to_specific_version"], [789, 2, 1, "", "unset_sub_backend"]], "ivy.utils.binaries": [[790, 2, 1, "", "check_for_binaries"], [790, 2, 1, "", "cleanup_and_fetch_binaries"]], "ivy.utils.dynamic_import": [[791, 2, 1, "", "import_module"]], "ivy.utils.einsum_parser": [[792, 2, 1, "", "convert_interleaved_input"], [792, 2, 1, "", "convert_subscripts"], [792, 2, 1, "", "find_output_shape"], [792, 2, 1, "", "find_output_str"], [792, 2, 1, "", "gen_unused_symbols"], [792, 2, 1, "", "get_symbol"], [792, 2, 1, "", "has_valid_einsum_chars_only"], [792, 2, 1, "", "is_valid_einsum_char"], [792, 2, 1, "", "legalise_einsum_expr"], [792, 2, 1, "", "possibly_convert_to_numpy"]], "ivy.utils.einsum_path_helpers": [[793, 2, 1, "", "can_dot"], [793, 2, 1, "", "compute_size_by_dict"], [793, 2, 1, "", "find_contraction"], [793, 2, 1, "", "flop_count"], [793, 2, 1, "", "greedy_path"], [793, 2, 1, "", "optimal_path"], [793, 2, 1, "", "parse_einsum_input"], [793, 2, 1, "", "parse_possible_contraction"], [793, 2, 1, "", "update_other_results"]], "ivy.utils.exceptions": [[794, 7, 1, "", "InplaceUpdateException"], [794, 7, 1, "", "IvyAttributeError"], [794, 7, 1, "", "IvyBackendException"], [794, 7, 1, "", "IvyBroadcastShapeError"], [794, 7, 1, "", "IvyDeviceError"], [794, 7, 1, "", "IvyDtypePromotionError"], [794, 7, 1, "", "IvyError"], [794, 7, 1, "", "IvyException"], [794, 7, 1, "", "IvyIndexError"], [794, 7, 1, "", "IvyInvalidBackendException"], [794, 7, 1, "", "IvyNotImplementedException"], [794, 7, 1, "", "IvyValueError"], [794, 2, 1, "", "handle_exceptions"]], "ivy.utils.exceptions.InplaceUpdateException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyAttributeError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyBackendException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyBroadcastShapeError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyDeviceError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyDtypePromotionError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyIndexError": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyInvalidBackendException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyNotImplementedException": [[794, 0, 1, "", "__init__"]], "ivy.utils.exceptions.IvyValueError": [[794, 0, 1, "", "__init__"]], "ivy.utils.inspection": [[795, 2, 1, "", "add_array_specs"], [795, 2, 1, "", "fn_array_spec"]], "ivy.utils.logging": [[796, 2, 1, "", "set_logging_mode"], [796, 2, 1, "", "unset_logging_mode"]], "ivy.utils.profiler": [[797, 1, 1, "", "Profiler"]], "ivy.utils.profiler.Profiler": [[797, 0, 1, "", "__init__"], [797, 4, 1, "", "print_stats"], [797, 4, 1, "", "viz"]], "ivy.utils.verbosity": [[798, 2, 1, "", "cprint"]], "ivy_tests.test_ivy.helpers": [[758, 3, 0, "-", "assertions"], [759, 3, 0, "-", "available_frameworks"], [760, 3, 0, "-", "function_testing"], [761, 3, 0, "-", "globals"], [762, 3, 0, "-", "hypothesis_helpers"], [767, 3, 0, "-", "multiprocessing"], [768, 3, 0, "-", "pipeline_helper"], [769, 3, 0, "-", "structs"], [770, 3, 0, "-", "test_parameter_flags"], [771, 3, 0, "-", "testing_helpers"]], "ivy_tests.test_ivy.helpers.assertions": [[758, 2, 1, "", "assert_all_close"], [758, 2, 1, "", "assert_same_type"], [758, 2, 1, "", "assert_same_type_and_shape"], [758, 2, 1, "", "check_unsupported_device"], [758, 2, 1, "", "check_unsupported_device_and_dtype"], [758, 2, 1, "", "check_unsupported_dtype"], [758, 2, 1, "", "test_unsupported_function"], [758, 2, 1, "", "value_test"]], "ivy_tests.test_ivy.helpers.function_testing": [[760, 2, 1, "", "args_to_container"], [760, 2, 1, "", "args_to_frontend"], [760, 2, 1, "", "arrays_to_frontend"], [760, 2, 1, "", "as_lists"], [760, 2, 1, "", "convtrue"], [760, 2, 1, "", "create_args_kwargs"], [760, 2, 1, "", "flatten"], [760, 2, 1, "", "flatten_and_to_np"], [760, 2, 1, "", "flatten_frontend"], [760, 2, 1, "", "flatten_frontend_fw_to_np"], [760, 2, 1, "", "flatten_frontend_to_np"], [760, 2, 1, "", "get_frontend_ret"], [760, 2, 1, "", "get_ret_and_flattened_np_array"], [760, 2, 1, "", "gradient_incompatible_function"], [760, 2, 1, "", "gradient_test"], [760, 2, 1, "", "gradient_unsupported_dtypes"], [760, 2, 1, "", "kwargs_to_args_n_kwargs"], [760, 2, 1, "", "test_frontend_function"], [760, 2, 1, "", "test_frontend_method"], [760, 2, 1, "", "test_function"], [760, 2, 1, "", "test_function_backend_computation"], [760, 2, 1, "", "test_function_ground_truth_computation"], [760, 2, 1, "", "test_gradient_backend_computation"], [760, 2, 1, "", "test_gradient_ground_truth_computation"], [760, 2, 1, "", "test_method"], [760, 2, 1, "", "test_method_backend_computation"], [760, 2, 1, "", "test_method_ground_truth_computation"], [760, 2, 1, "", "traced_if_required"], [760, 2, 1, "", "wrap_frontend_function_args"]], "ivy_tests.test_ivy.helpers.globals": [[761, 6, 1, "", "CURRENT_FRONTEND_CONFIG"], [761, 7, 1, "", "InterruptedTest"], [761, 1, 1, "", "TestData"], [761, 2, 1, "", "setup_api_test"], [761, 2, 1, "", "setup_frontend_test"], [761, 2, 1, "", "teardown_api_test"], [761, 2, 1, "", "teardown_frontend_test"]], "ivy_tests.test_ivy.helpers.globals.InterruptedTest": [[761, 0, 1, "", "__init__"]], "ivy_tests.test_ivy.helpers.globals.TestData": [[761, 0, 1, "", "__init__"], [761, 4, 1, "", "fn_name"], [761, 4, 1, "", "fn_tree"], [761, 4, 1, "", "is_method"], [761, 4, 1, "", "supported_device_dtypes"], [761, 4, 1, "", "test_fn"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers": [[763, 3, 0, "-", "array_helpers"], [764, 3, 0, "-", "dtype_helpers"], [765, 3, 0, "-", "general_helpers"], [766, 3, 0, "-", "number_helpers"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers": [[763, 2, 1, "", "array_and_broadcastable_shape"], [763, 2, 1, "", "array_bools"], [763, 2, 1, "", "array_helpers_dtype_info_helper"], [763, 2, 1, "", "array_indices_axis"], [763, 2, 1, "", "array_indices_put_along_axis"], [763, 2, 1, "", "array_values"], [763, 2, 1, "", "arrays_and_axes"], [763, 2, 1, "", "arrays_for_pooling"], [763, 2, 1, "", "broadcast_shapes"], [763, 2, 1, "", "cond_data_gen_helper"], [763, 2, 1, "", "create_concatenable_arrays_dtypes"], [763, 2, 1, "", "create_nested_input"], [763, 2, 1, "", "dtype_and_values"], [763, 2, 1, "", "dtype_array_query"], [763, 2, 1, "", "dtype_array_query_val"], [763, 2, 1, "", "dtype_values_axis"], [763, 2, 1, "", "einsum_helper"], [763, 2, 1, "", "get_first_solve_batch_matrix"], [763, 2, 1, "", "get_first_solve_matrix"], [763, 2, 1, "", "get_second_solve_batch_matrix"], [763, 2, 1, "", "get_second_solve_matrix"], [763, 2, 1, "", "list_of_size"], [763, 2, 1, "", "lists"], [763, 2, 1, "", "mutually_broadcastable_shapes"], [763, 2, 1, "", "prod"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers": [[764, 2, 1, "", "array_dtypes"], [764, 2, 1, "", "cast_filter"], [764, 2, 1, "", "cast_filter_helper"], [764, 2, 1, "", "get_castable_dtype"], [764, 2, 1, "", "get_dtypes"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers": [[765, 7, 1, "", "BroadcastError"], [765, 2, 1, "", "apply_safety_factor"], [765, 2, 1, "", "broadcast_shapes"], [765, 2, 1, "", "embedding_helper"], [765, 2, 1, "", "general_helpers_dtype_info_helper"], [765, 2, 1, "", "get_axis"], [765, 2, 1, "", "get_bounds"], [765, 2, 1, "", "get_mean_std"], [765, 2, 1, "", "get_shape"], [765, 2, 1, "", "matrix_is_stable"], [765, 2, 1, "", "reshape_shapes"], [765, 2, 1, "", "subsets"], [765, 2, 1, "", "two_broadcastable_shapes"], [765, 2, 1, "", "x_and_filters"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers": [[766, 2, 1, "", "floats"], [766, 2, 1, "", "ints"], [766, 2, 1, "", "number"]], "ivy_tests.test_ivy.helpers.multiprocessing": [[767, 2, 1, "", "backend_proc"], [767, 2, 1, "", "frontend_proc"]], "ivy_tests.test_ivy.helpers.pipeline_helper": [[768, 1, 1, "", "BackendHandler"], [768, 1, 1, "", "BackendHandlerMode"], [768, 1, 1, "", "WithBackendContext"], [768, 2, 1, "", "get_frontend_config"]], "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler": [[768, 0, 1, "", "update_backend"]], "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode": [[768, 4, 1, "", "SetBackend"], [768, 4, 1, "", "WithBackend"]], "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext": [[768, 0, 1, "", "__init__"]], "ivy_tests.test_ivy.helpers.structs": [[769, 1, 1, "", "FrontendMethodData"]], "ivy_tests.test_ivy.helpers.structs.FrontendMethodData": [[769, 0, 1, "", "__init__"], [769, 4, 1, "", "framework_init_module"], [769, 4, 1, "", "init_name"], [769, 4, 1, "", "ivy_init_module"], [769, 4, 1, "", "method_name"]], "ivy_tests.test_ivy.helpers.test_parameter_flags": [[770, 1, 1, "", "DynamicFlag"], [770, 1, 1, "", "FrontendFunctionTestFlags"], [770, 1, 1, "", "FrontendInitTestFlags"], [770, 1, 1, "", "FrontendMethodTestFlags"], [770, 1, 1, "", "FunctionTestFlags"], [770, 1, 1, "", "InitMethodTestFlags"], [770, 1, 1, "", "MethodTestFlags"], [770, 1, 1, "", "TestFlags"], [770, 2, 1, "", "build_flag"], [770, 2, 1, "", "frontend_function_flags"], [770, 2, 1, "", "frontend_init_flags"], [770, 2, 1, "", "frontend_method_flags"], [770, 2, 1, "", "function_flags"], [770, 2, 1, "", "init_method_flags"], [770, 2, 1, "", "method_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag": [[770, 0, 1, "", "__init__"], [770, 4, 1, "", "strategy"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags": [[770, 0, 1, "", "__init__"], [770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags": [[770, 0, 1, "", "apply_flags"]], "ivy_tests.test_ivy.helpers.testing_helpers": [[771, 2, 1, "", "handle_frontend_method"], [771, 2, 1, "", "handle_frontend_test"], [771, 2, 1, "", "handle_method"], [771, 2, 1, "", "handle_test"], [771, 2, 1, "", "num_positional_args"], [771, 2, 1, "", "num_positional_args_helper"], [771, 2, 1, "", "num_positional_args_method"], [771, 2, 1, "", "seed"]]}, "objtypes": {"0": "py:method", "1": "py:class", "2": "py:function", "3": "py:module", "4": "py:attribute", "5": "py:property", "6": "py:data", "7": "py:exception"}, "objnames": {"0": ["py", "method", "Python method"], "1": ["py", "class", "Python class"], "2": ["py", "function", "Python function"], "3": ["py", "module", "Python module"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "property", "Python property"], "6": ["py", "data", "Python data"], "7": ["py", "exception", "Python exception"]}, "titleterms": {"demo": [0, 2, 3, 4, 15, 26, 40, 41], "creat": [0, 38, 39, 804], "notebook": 0, "TO": 1, "replac": 1, "titl": 1, "exampl": [2, 5, 7, 9, 15, 34, 799, 816, 821, 824, 827, 832, 848, 849, 850], "ivi": [3, 4, 5, 7, 14, 17, 25, 26, 27, 38, 39, 41, 42, 44, 799, 804, 806, 809, 811, 813, 816, 818, 824, 826, 827, 828, 829, 830, 831, 834, 835, 836, 837, 838, 839, 841, 848, 849, 850, 861], "alexnet": 3, "instal": [3, 4, 7, 17, 38, 39, 41, 799, 841], "data": [3, 4, 5, 7, 9, 17, 26, 38, 49, 72, 103, 363, 617, 632, 736, 737, 738, 739, 814, 826, 829, 837, 840], "prepar": [3, 4, 5, 7], "infer": [3, 4, 5, 7, 823], "torch": [3, 4, 5, 7, 34, 41, 855, 856], "tensorflow": [3, 4, 5, 9, 13, 34, 41, 42, 43, 855], "jax": [3, 4, 5, 6, 8, 9, 34, 41, 855], "appendix": [3, 5], "code": [3, 17, 18, 19, 20, 27, 38, 820, 828, 830], "implement": [3, 5, 813, 824, 826, 846], "bert": 4, "dependeci": 4, "import": [4, 5, 7, 9, 17, 38, 39, 42, 791], "modul": [4, 781, 814, 815, 838, 849], "sequenc": [4, 821], "classif": 4, "model": [4, 5, 6, 7, 8, 11, 12, 13, 24, 25, 26, 27, 38, 39, 40, 41, 42, 44, 839, 840], "imag": [5, 7, 55, 78, 248, 801, 811], "segment": 5, "unet": 5, "custom": [5, 809, 811, 824, 828, 837, 840], "preprocess": 5, "load": [5, 7, 9, 756, 837], "visualis": [5, 7], "initi": [5, 7, 778, 838], "nativ": [5, 7, 809, 832], "pretrain": [5, 7], "weight": [5, 7, 837], "mask": 5, "function": [5, 17, 26, 27, 38, 39, 40, 42, 44, 104, 760, 804, 812, 814, 815, 818, 821, 822, 823, 824, 826, 827, 829, 830, 831, 832, 834, 839, 840, 849], "us": [5, 7, 14, 22, 25, 42, 44, 799, 801, 804, 805, 808, 824, 827, 837, 841, 848, 849], "your": [5, 7, 806, 829], "backend": [5, 9, 17, 26, 38, 39, 41, 42, 786, 789, 804, 810, 814, 824, 830, 834, 840], "acceler": [6, 8, 9], "mmpretrain": 6, "resnet": [7, 45], "set": [7, 34, 38, 39, 63, 86, 377, 632, 805, 810, 819, 831, 841], "label": 7, "resnet34": 7, "classifi": 7, "resnet50": 7, "pytorch": [8, 9, 11, 40, 855], "xgboost": 9, "test": [9, 40, 760, 770, 771, 774, 804, 805, 806, 808, 813, 819, 827, 829], "compar": 9, "xgb_frontend": 9, "xgbclassifi": 9, "xgb": 9, "more": [9, 805, 832, 846], "exhaust": 9, "evalu": 9, "train": [9, 38, 40, 42], "time": 9, "v": [9, 21, 31, 34, 820, 840, 845, 848], "number": [9, 766, 821], "boost": 9, "round": [9, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 32, 33, 40, 278, 828], "fraction": 9, "comparison": [9, 837], "metric": [9, 42], "guid": [10, 15], "transpil": [11, 12, 13, 20, 21, 22, 23, 24, 26, 27, 30, 31, 32, 33, 34, 40, 44, 799, 839, 841, 849], "build": [11, 12, 13, 42, 801, 811, 834], "top": [11, 12, 13, 813], "up": [11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 28, 29, 30, 31, 32, 33, 40, 805, 819, 828, 841], "haiku": 12, "develop": 14, "convolut": 14, "network": [14, 39, 42, 837, 839], "tutori": [15, 42], "And": 15, "learn": [15, 16, 855], "basic": [15, 16, 38, 39, 806, 826], "write": [17, 25, 826, 829], "content": [17, 40], "handler": [17, 26, 788, 789, 834], "structur": [17, 26, 811, 824, 840], "api": [17, 26, 27, 804, 808, 812, 813, 824, 830, 834, 836, 838, 839, 841, 845, 848, 849, 850, 852, 859, 861], "state": [17, 26, 27, 838, 840, 848], "unifi": [18, 21, 22, 28, 31, 32, 33, 38, 799, 836, 846, 850, 857, 861], "trace": [19, 21, 22, 27, 678, 818], "lazi": [21, 31, 848], "eager": [21, 31, 848], "how": [22, 804, 811, 819, 828, 829], "decor": [22, 33, 818, 823, 829], "ani": [23, 24, 26, 27, 755], "librari": [23, 26, 27, 42, 44, 849], "odsc": 26, "framework": [26, 32, 38, 759, 772, 824, 827, 835, 855, 858, 861, 862], "graph": [26, 43, 856, 861], "tracer": [26, 834, 839, 841, 848, 856, 861], "quickstart": 27, "get": [27, 799, 806, 841], "familiar": 27, "0": [28, 29, 30, 31, 35, 36], "1": [29, 31, 32, 33, 34, 37, 44, 855], "compil": [29, 31, 32, 33, 39, 848, 853, 858, 860, 861], "2": [30, 33, 35, 44, 855], "select": 32, "As": 33, "3": [34, 36, 37, 44], "dynam": [34, 42, 791, 810, 840], "static": 34, "todo": [34, 806], "explain": 34, "via": 34, "why": [34, 829, 846], "mode": [34, 814, 818, 831], "i": [34, 799, 811, 832], "true": 34, "default": [34, 532], "when": [34, 799], "from": [34, 41, 841], "numpi": [34, 41, 826, 855], "fals": 34, "kornia": 35, "perceiv": 36, "stabl": 37, "diffus": 37, "oper": [38, 821, 831, 836, 840], "ml": [38, 844, 857, 861], "chang": 38, "one": 38, "line": [38, 806], "No": [38, 805, 846], "need": [38, 829], "worri": 38, "about": 38, "type": [38, 49, 72, 363, 617, 814, 822, 826, 840], "differ": 38, "them": 38, "all": [38, 754], "standalon": [38, 822], "defin": [38, 39, 40, 42], "optim": [38, 783, 838], "input": [38, 39, 821], "target": 38, "loss": [38, 58, 81, 370, 625, 780], "loop": [38, 42], "sampl": 39, "check": [39, 820, 840], "result": 39, "simpl": 39, "neural": 39, "deepmind": [40, 41], "": [40, 42, 804, 811, 828, 841], "perceiverio": [40, 41], "tabl": [40, 811, 814], "construct": [40, 837], "some": 40, "helper": [40, 762, 763, 764, 765, 766, 768, 771, 777, 787, 793, 827, 829, 830], "pipelin": [40, 42, 768, 811, 813, 829, 840], "dataset": [40, 42], "download": 40, "dataload": 40, "gpu": [41, 840], "introduct": [41, 44, 826, 827], "python3": 41, "8": 41, "setup": [41, 820], "kernel": 41, "clone": [41, 805, 813], "repo": [41, 805], "ivy_model": 41, "run": [41, 806, 808, 811, 819, 829], "end": 42, "let": 42, "we": [42, 829], "ar": 42, "mnist": 42, "thi": 42, "temporari": 42, "loader": 42, "util": [42, 66, 89, 381, 635, 773], "plot": 42, "save": [42, 757, 837], "huggingfac": 43, "deit": 43, "can": 43, "visual": 43, "displai": 43, "html": 43, "file": 43, "browser": [43, 806], "To": [44, 806], "interfac": 44, "telemetri": 44, "18": 45, "activ": [46, 68, 360, 613, 775], "convers": [47, 70, 823], "creation": [48, 71, 362, 616], "devic": [50, 73, 364, 618, 815, 821, 826], "elementwis": [51, 74, 102, 365, 619], "experiment": [52, 75, 620, 804], "gener": [53, 76, 366, 621, 765, 824, 829, 832, 848], "gradient": [54, 77, 342, 367, 622, 824], "layer": [56, 79, 368, 623, 779], "linear": [57, 80, 369, 624, 647], "algebra": [57, 80, 369, 624], "manipul": [59, 82, 371, 626], "norm": [60, 83, 374, 629, 782], "random": [61, 84, 375, 630], "search": [62, 85, 376, 631], "sort": [64, 87, 378, 633, 743], "statist": [65, 88, 380, 634], "wrap": [67, 90, 823], "base": [69, 91, 101], "cp": 92, "tensor": [92, 93, 94, 95, 96, 99], "parafac2": 93, "tr": 94, "tt": 95, "tucker": [96, 441], "arrai": [97, 100, 122, 379, 763, 808, 809, 813, 821, 836, 845, 848, 852], "contain": [98, 806, 812, 837], "factor": 99, "nest": [100, 373, 628], "class": [103, 772, 809, 818, 826, 836], "gelu": 105, "hardswish": 106, "leaky_relu": 107, "log_softmax": 108, "mish": 109, "relu": 110, "sigmoid": 111, "softmax": 112, "softplu": 113, "softsign": 114, "cmp_i": 115, "cmp_isnot": 116, "for_loop": 117, "if_els": 118, "try_except": 119, "while_loop": 120, "arang": 121, "asarrai": 123, "copy_arrai": 124, "empti": 125, "empty_lik": 126, "ey": 127, "from_dlpack": 128, "note": [128, 139, 616], "frombuff": 129, "full": [130, 827], "full_lik": 131, "linspac": 132, "logspac": 133, "meshgrid": 134, "native_arrai": 135, "one_hot": 136, "ones": 137, "ones_lik": 138, "to_dlpack": 139, "tril": 140, "triu": 141, "triu_indic": 142, "zero": 143, "zeros_lik": 144, "as_ivy_dtyp": 145, "as_native_dtyp": 146, "astyp": 147, "broadcast_arrai": 148, "broadcast_to": 149, "can_cast": 150, "check_float": 151, "closest_valid_dtyp": 152, "default_complex_dtyp": 153, "default_dtyp": 154, "default_float_dtyp": 155, "default_int_dtyp": 156, "default_uint_dtyp": 157, "dtype": [158, 764, 821], "dtype_bit": 159, "finfo": 160, "function_supported_dtyp": 161, "function_unsupported_dtyp": 162, "iinfo": 163, "infer_default_dtyp": 164, "invalid_dtyp": 165, "is_bool_dtyp": 166, "is_complex_dtyp": 167, "is_float_dtyp": 168, "is_hashable_dtyp": 169, "is_int_dtyp": 170, "is_native_dtyp": 171, "is_uint_dtyp": 172, "promote_typ": 173, "promote_types_of_input": 174, "result_typ": 175, "set_default_complex_dtyp": 176, "set_default_dtyp": 177, "set_default_float_dtyp": 178, "set_default_int_dtyp": 179, "set_default_uint_dtyp": 180, "type_promote_arrai": 181, "unset_default_complex_dtyp": 182, "unset_default_dtyp": 183, "unset_default_float_dtyp": 184, "unset_default_int_dtyp": 185, "unset_default_uint_dtyp": 186, "valid_dtyp": 187, "as_ivy_dev": 188, "as_native_dev": 189, "clear_cached_mem_on_dev": 190, "default_devic": 191, "dev": 192, "dev_util": 193, "function_supported_devic": 194, "function_unsupported_devic": 195, "get_all_ivy_arrays_on_dev": 196, "gpu_is_avail": 197, "handle_soft_device_vari": 198, "num_cpu_cor": 199, "num_gpu": 200, "num_ivy_arrays_on_dev": 201, "percent_used_mem_on_dev": 202, "print_all_ivy_arrays_on_dev": 203, "set_default_devic": 204, "set_soft_device_mod": 205, "paramet": [205, 566, 567, 572, 573, 575, 576, 618, 621, 770, 775, 831], "set_split_factor": 206, "split_factor": 207, "split_func_cal": 208, "to_devic": 209, "total_mem_on_dev": 210, "tpu_is_avail": 211, "unset_default_devic": 212, "unset_soft_device_mod": 213, "used_mem_on_dev": 214, "ab": 215, "aco": 216, "acosh": 217, "add": [218, 816, 827, 861], "angl": 219, "asin": 220, "asinh": 221, "atan": 222, "atan2": 223, "atanh": 224, "bitwise_and": 225, "bitwise_invert": 226, "bitwise_left_shift": 227, "bitwise_or": 228, "bitwise_right_shift": 229, "bitwise_xor": 230, "ceil": 231, "co": 232, "cosh": 233, "deg2rad": 234, "divid": 235, "equal": 236, "erf": 237, "exp": 238, "exp2": 239, "expm1": 240, "floor": 241, "floor_divid": 242, "fmin": 243, "fmod": 244, "gcd": 245, "greater": 246, "greater_equ": 247, "isfinit": 249, "isinf": 250, "isnan": 251, "isreal": 252, "lcm": 253, "less": 254, "less_equ": 255, "log": [256, 796, 805], "log10": 257, "log1p": 258, "log2": 259, "logaddexp": 260, "logaddexp2": 261, "logical_and": 262, "logical_not": 263, "logical_or": 264, "logical_xor": 265, "maximum": 266, "minimum": 267, "multipli": 268, "nan_to_num": 269, "neg": 270, "not_equ": 271, "posit": [272, 821], "pow": 273, "rad2deg": 274, "real": 275, "reciproc": 276, "remaind": 277, "sign": 279, "sin": 280, "sinh": 281, "sqrt": 282, "squar": 283, "subtract": 284, "tan": [285, 816, 827], "tanh": 286, "trapz": 287, "trunc": 288, "trunc_divid": 289, "celu": 290, "elu": 291, "hardshrink": 292, "hardtanh": 293, "logit": 294, "logsigmoid": 295, "prelu": 296, "relu6": 297, "scaled_tanh": 298, "selu": 299, "silu": 300, "softshrink": 301, "stanh": 302, "tanhshrink": 303, "threshold": 304, "thresholded_relu": 305, "blackman_window": 306, "eye_lik": 307, "hamming_window": 308, "hann_window": 309, "indic": 310, "kaiser_bessel_derived_window": 311, "kaiser_window": 312, "mel_weight_matrix": 313, "ndenumer": 314, "ndindex": 315, "polyv": 316, "random_cp": 317, "random_parafac2": 318, "random_tr": 319, "random_tt": 320, "random_tuck": 321, "tril_indic": 322, "trilu": 323, "unsorted_segment_mean": 324, "unsorted_segment_min": 325, "unsorted_segment_sum": 326, "vorbis_window": 327, "allclos": 328, "amax": 329, "amin": 330, "binar": 331, "conj": 332, "copysign": 333, "count_nonzero": 334, "diff": 335, "digamma": 336, "erfc": 337, "fix": [338, 804, 819], "float_pow": 339, "fmax": 340, "frexp": 341, "hypot": 343, "isclos": 344, "ldexp": 345, "lerp": 346, "lgamma": 347, "modf": 348, "nansum": 349, "nextaft": 350, "signbit": 351, "sinc": 352, "sparsify_tensor": 353, "xlogi": 354, "zeta": 355, "reduc": 356, "bind_custom_gradient_funct": 357, "jvp": 358, "vjp": 359, "constant": [361, 614], "meta": [372, 627], "spars": 379, "adaptive_avg_pool1d": 382, "adaptive_avg_pool2d": 383, "adaptive_max_pool2d": 384, "area_interpol": 385, "avg_pool1d": 386, "avg_pool2d": 387, "avg_pool3d": 388, "dct": 389, "dft": 390, "dropout1d": 391, "dropout2d": 392, "dropout3d": 393, "embed": 394, "fft": 395, "fft2": 396, "generate_einsum_equ": 397, "get_interpolate_kernel": 398, "idct": 399, "ifft": 400, "ifftn": 401, "interp": 402, "interpol": 403, "max_pool1d": 404, "max_pool2d": 405, "max_pool3d": 406, "max_unpool1d": 407, "nearest_interpol": 408, "pool": 409, "reduce_window": 410, "rfft": 411, "rfftn": 412, "rnn": 413, "sliding_window": 414, "stft": 415, "adjoint": 416, "batched_out": 417, "cond": 418, "diagflat": 419, "dot": 420, "eig": [421, 658], "eigh_tridiagon": 422, "eigval": 423, "general_inner_product": 424, "higher_order_mo": 425, "initialize_tuck": 426, "khatri_rao": 427, "kron": 428, "kroneck": 429, "make_svd_non_neg": 430, "matrix_exp": 431, "mode_dot": 432, "multi_dot": 433, "multi_mode_dot": 434, "partial_tuck": 435, "solve_triangular": 436, "svd_flip": 437, "tensor_train": 438, "truncated_svd": 439, "tt_matrix_to_tensor": 440, "huber_loss": 442, "kl_div": 443, "l1_loss": 444, "log_poisson_loss": 445, "poisson_nll_loss": 446, "smooth_l1_loss": 447, "soft_margin_loss": 448, "as_strid": 449, "associative_scan": 450, "atleast_1d": 451, "atleast_2d": 452, "atleast_3d": 453, "broadcast_shap": 454, "check_scalar": 455, "choos": 456, "column_stack": 457, "concat_from_sequ": 458, "dsplit": 459, "dstack": 460, "expand": 461, "fill_diagon": 462, "flatten": 463, "fliplr": 464, "flipud": 465, "fold": 466, "heavisid": 467, "hsplit": 468, "hstack": 469, "i0": 470, "matric": 471, "moveaxi": 472, "pad": 473, "partial_fold": 474, "partial_tensor_to_vec": 475, "partial_unfold": 476, "partial_vec_to_tensor": 477, "put_along_axi": 478, "rot90": 479, "soft_threshold": 480, "take": 481, "take_along_axi": 482, "top_k": 483, "trim_zero": 484, "unfold": 485, "unique_consecut": 486, "vsplit": 487, "vstack": 488, "batch_norm": 489, "group_norm": 490, "instance_norm": 491, "l1_normal": 492, "l2_normal": 493, "local_response_norm": 494, "lp_normal": 495, "bernoulli": 496, "beta": 497, "dirichlet": 498, "gamma": 499, "poisson": 500, "unravel_index": 501, "invert_permut": 502, "lexsort": 503, "is_ivy_sparse_arrai": 504, "is_native_sparse_arrai": 505, "native_sparse_arrai": 506, "native_sparse_array_to_indices_values_and_shap": 507, "bincount": 508, "corrcoef": 509, "cov": 510, "cummax": 511, "cummin": 512, "histogram": 513, "igamma": 514, "median": 515, "nanmean": 516, "nanmedian": 517, "nanmin": 518, "nanprod": 519, "quantil": 520, "optional_get_el": 521, "all_equ": 522, "arg_info": 523, "arg_nam": 524, "array_equ": 525, "assert_supports_inplac": 526, "cache_fn": 527, "clip_matrix_norm": 528, "clip_vector_norm": 529, "container_typ": 530, "current_backend_str": 531, "einops_rearrang": 533, "einops_reduc": 534, "einops_repeat": 535, "exist": [536, 801, 828], "fourier_encod": 537, "function_supported_devices_and_dtyp": 538, "function_unsupported_devices_and_dtyp": 539, "gather": 540, "gather_nd": 541, "get_all_arrays_in_memori": 542, "get_item": 543, "get_num_dim": 544, "get_referrers_recurs": 545, "has_nan": 546, "inplace_arrays_support": 547, "inplace_decr": 548, "inplace_incr": 549, "inplace_upd": 550, "inplace_variables_support": 551, "is_arrai": 552, "is_ivy_arrai": 553, "is_ivy_contain": 554, "is_ivy_nested_arrai": 555, "is_native_arrai": 556, "isin": 557, "isscalar": 558, "items": 559, "match_kwarg": 560, "multiprocess": [561, 767], "num_arrays_in_memori": 562, "print_all_arrays_in_memori": 563, "scatter_flat": 564, "scatter_nd": 565, "set_array_mod": 566, "set_exception_trace_mod": 567, "set_inplace_mod": 568, "set_item": 569, "set_min_bas": 570, "set_min_denomin": 571, "set_nestable_mod": 572, "set_precise_mod": 573, "set_queue_timeout": 574, "set_shape_array_mod": 575, "set_show_func_wrapper_trace_mod": 576, "set_tmp_dir": 577, "shape": [578, 632, 736, 737, 738, 739, 823, 840], "stable_divid": 579, "stable_pow": 580, "stride": 581, "supports_inplace_upd": 582, "to_ivy_shap": 583, "to_list": 584, "to_native_shap": 585, "to_numpi": 586, "to_scalar": 587, "try_else_non": 588, "unset_array_mod": 589, "unset_exception_trace_mod": 590, "unset_inplace_mod": 591, "unset_min_bas": 592, "unset_min_denomin": 593, "unset_nestable_mod": 594, "unset_precise_mod": 595, "unset_queue_timeout": 596, "unset_shape_array_mod": 597, "unset_show_func_wrapper_trace_mod": 598, "unset_tmp_dir": 599, "value_is_nan": 600, "vmap": 601, "adam_step": 602, "adam_upd": 603, "execute_with_gradi": [604, 824], "grad": 605, "gradient_descent_upd": 606, "jac": 607, "lamb_upd": 608, "lars_upd": 609, "optimizer_upd": 610, "stop_gradi": 611, "value_and_grad": 612, "control": [615, 840], "flow": [615, 840], "op": 615, "depend": [632, 736, 737, 738, 739], "output": [632, 736, 737, 738, 739], "conv": 636, "conv1d": 637, "conv1d_transpos": 638, "conv2d": 639, "conv2d_transpos": 640, "conv3d": 641, "conv3d_transpos": 642, "conv_general_dil": 643, "conv_general_transpos": 644, "depthwise_conv2d": 645, "dropout": 646, "lstm_updat": 648, "multi_head_attent": 649, "nm": 650, "roi_align": 651, "scaled_dot_product_attent": 652, "choleski": 653, "cross": 654, "det": 655, "diag": 656, "diagon": 657, "eigh": 659, "eigvalsh": 660, "inner": 661, "inv": 662, "lu_factor": 663, "matmul": 664, "matrix_norm": 665, "matrix_pow": 666, "matrix_rank": 667, "matrix_transpos": 668, "outer": 669, "pinv": 670, "qr": 671, "slogdet": 672, "solv": 673, "svd": 674, "svdval": 675, "tensordot": 676, "tensorsolv": 677, "vander": 679, "vecdot": 680, "vector_norm": 681, "vector_to_skew_symmetric_matrix": 682, "binary_cross_entropi": 683, "cross_entropi": 684, "sparse_cross_entropi": 685, "clip": 686, "concat": 687, "constant_pad": 688, "expand_dim": 689, "flip": 690, "permute_dim": 691, "repeat": 692, "reshap": 693, "roll": [694, 816], "split": 695, "squeez": 696, "stack": [697, 818], "swapax": 698, "tile": 699, "unstack": 700, "zero_pad": 701, "fomaml_step": 702, "maml_step": 703, "reptile_step": 704, "all_nested_indic": 705, "copy_nest": 706, "duplicate_array_index_chain": 707, "index_nest": 708, "insert_into_nest_at_index": 709, "insert_into_nest_at_indic": 710, "map": [711, 813], "map_nest_at_index": 712, "map_nest_at_indic": 713, "multi_index_nest": 714, "nested_ani": 715, "nested_argwher": 716, "nested_map": 717, "nested_multi_map": 718, "prune_empti": 719, "prune_nest_at_index": 720, "prune_nest_at_indic": 721, "set_nest_at_index": 722, "set_nest_at_indic": 723, "layer_norm": 724, "multinomi": 725, "randint": 726, "random_norm": 727, "random_uniform": 728, "seed": 729, "shuffl": 730, "argmax": 731, "argmin": 732, "argwher": 733, "nonzero": 734, "where": [735, 804, 819], "unique_al": 736, "unique_count": 737, "unique_invers": 738, "unique_valu": 739, "argsort": 740, "msort": 741, "searchsort": 742, "cumprod": 744, "cumsum": 745, "einsum": [746, 792, 793], "max": 747, "mean": 748, "min": 749, "prod": 750, "std": 751, "sum": 752, "var": 753, "assert": [758, 785, 818], "avail": 759, "global": [761, 831], "hypothesi": [762, 805, 827, 829], "struct": 769, "flag": 770, "convert": [776, 839], "sequenti": 784, "ast": 787, "sub": 789, "binari": [790, 805], "parser": 792, "path": 793, "except": [794, 818, 823], "inspect": 795, "profil": 797, "verbos": 798, "statu": 799, "ai": 799, "start": [799, 841], "pip": [799, 841], "document": 799, "dive": [799, 807], "deeper": 799, "should": 799, "contribut": [799, 800, 804, 828], "commun": 799, "citat": 799, "doc": [801, 811], "docker": [801, 805, 806, 811, 841], "conveni": [801, 811, 822], "script": [801, 811], "hub": 801, "local": [801, 806, 820], "without": [801, 827], "error": [802, 818, 819], "handl": [802, 809, 815, 818, 823, 840], "help": [803, 806, 819], "resourc": 803, "open": 804, "task": 804, "fail": [804, 819, 829], "frontend": [804, 810, 826, 827, 839], "place": 804, "checklist": 804, "format": [804, 820, 854, 861], "extend": [804, 829, 832], "an": [804, 824], "issu": [804, 806, 820, 841], "github": [804, 805], "templat": 804, "fork": [805, 806], "pre": [805, 820], "commit": [805, 806, 813, 820], "pycharm": [805, 806, 820], "virtual": 805, "environ": 805, "miniconda": 805, "venv": 805, "interpret": 805, "window": 805, "maco": 805, "ubuntu": 805, "detail": 805, "free": 805, "wsl": 805, "codespac": 805, "The": [805, 806, 811, 824, 826, 836, 840, 845], "list": 806, "manag": 806, "who": 806, "ask": [806, 819], "With": 806, "command": 806, "pull": [806, 813], "request": [806, 813], "small": 806, "often": 806, "interact": 806, "most": 806, "out": [806, 821, 823, 825], "id": [806, 808], "deep": 807, "termin": 808, "regener": 808, "failur": 808, "skip": 808, "integr": [809, 813, 820, 828, 829], "version": [810, 830, 840], "support": [810, 814, 823, 826, 840], "builder": 811, "being": 811, "option": 811, "index": 811, "rst": 811, "partial_conf": 811, "py": 811, "prebuild": 811, "sh": 811, "extens": 811, "custom_autosummari": 811, "hide": 811, "discussion_link": 811, "skippable_funct": 811, "ivy_data": 811, "instanc": [812, 826, 827, 836], "method": [812, 826, 827, 836, 837], "special": [812, 814, 826], "nestabl": [812, 821, 822, 823], "continu": [813, 820], "push": 813, "pr": 813, "trigger": 813, "A": [813, 832], "down": 813, "view": [813, 823, 825], "store": 813, "retriev": 813, "repositori": 813, "nitti": 813, "gritti": 813, "storag": 813, "space": 813, "unifyai": 813, "determin": 813, "coverag": 813, "workflow": 813, "multipl": 813, "runner": 813, "race": 813, "condit": 813, "period": 813, "manual": 813, "dispatch": 813, "ci": 813, "dashboard": 813, "promot": [814, 826], "precis": 814, "non": [814, 832], "argument": [814, 815, 821, 823, 825, 826], "other": [814, 815], "unsupport": 814, "attribut": [814, 831], "case": [814, 837], "bug": 814, "cast": [814, 826], "superset": [814, 832], "docstr": [816, 817], "configur": [818, 827, 837], "func_wrapp": 818, "prune": 818, "handle_except": 818, "consist": [818, 829], "prerequir": 819, "common": [819, 820], "lint": [820, 828], "keyword": 821, "integ": 821, "primari": 822, "composit": 822, "mix": [822, 823, 829], "partial": [822, 823, 829], "order": 823, "wrapper": [823, 861, 862], "miscellan": 823, "overview": [824, 828], "usag": [824, 828, 832, 850], "signatur": 824, "design": [824, 830, 833], "our": 824, "polici": [824, 826], "specif": [824, 859, 860, 861], "consider": 824, "inplac": 825, "updat": 825, "copi": 825, "short": 826, "unus": 826, "rule": 826, "duplic": [826, 832], "valu": 827, "alia": 827, "formatt": 828, "functionorderingformatt": 828, "work": [828, 845, 851], "own": 829, "strategi": 829, "do": [829, 845], "effect": 829, "bonu": 829, "featur": 829, "self": 829, "explicit": 829, "test_array_funct": 829, "re": [829, 846], "navig": 830, "categor": 830, "submodul": 830, "unpin": 830, "properti": 831, "getter": 831, "setter": 831, "set_": 831, "unset_": 831, "behaviour": 832, "standard": [832, 845, 852, 861], "what": [832, 861], "balanc": 832, "effici": 832, "maxim": 832, "block": 834, "monkei": 836, "patch": 836, "represent": 837, "recurs": 837, "built": 837, "ins": 837, "access": 837, "compartment": 837, "role": 839, "faq": 840, "maintain": 840, "size": 840, "deploy": 840, "auto": 840, "differenti": 840, "replica": 840, "parallel": 840, "altern": 840, "sourc": 841, "folder": 841, "kei": 841, "question": 841, "glossari": 842, "motiv": 843, "explos": 844, "skeptic": 845, "complimentari": 845, "competit": 845, "infinit": 846, "shelf": 846, "life": 846, "One": 847, "liner": 847, "trace_graph": 848, "cach": 848, "sharp": [848, 849, 850], "bit": [848, 849, 850], "relat": 851, "infrastructur": [853, 861], "llvm": 853, "mlir": 853, "oneapi": 853, "exchang": [854, 861], "onnx": 854, "nnef": 854, "coreml": 854, "matlab": 855, "scipi": 855, "scikit": 855, "theano": 855, "panda": 855, "julia": 855, "apach": [855, 858], "spark": 855, "mllib": 855, "caff": 855, "chainer": 855, "mxnet": 855, "cntk": 855, "flux": 855, "dex": 855, "languag": 855, "tf": 856, "jaxpr": 856, "jit": 856, "fx": 856, "compani": [857, 861], "quansight": 857, "modular": 857, "octoml": 857, "multi": [858, 861], "vendor": [858, 859, 860, 861], "tvm": 858, "xla": 858, "gcc": 858, "tensorrt": 859, "cuda": 859, "icc": 860, "icx": 860, "nvcc": 860, "doe": 861, "eagerpi": 862, "kera": 862, "thinc": 862, "tensorli": 862, "neuropod": 862}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"as_native_dtype": [[146, "as-native-dtype"]], "astype": [[147, "astype"]], "is_native_dtype": [[171, "is-native-dtype"]], "is_hashable_dtype": [[169, "is-hashable-dtype"]], "can_cast": [[150, "can-cast"]], "set_default_dtype": [[177, "set-default-dtype"]], "dtype": [[158, "dtype"]], "function_unsupported_dtypes": [[162, "function-unsupported-dtypes"]], "iinfo": [[163, "iinfo"]], "set_default_int_dtype": [[179, "set-default-int-dtype"]], "closest_valid_dtype": [[152, "closest-valid-dtype"]], "default_dtype": [[154, "default-dtype"]], "zeros": [[143, "zeros"]], "default_int_dtype": [[156, "default-int-dtype"]], "type_promote_arrays": [[181, "type-promote-arrays"]], "finfo": [[160, "finfo"]], "default_uint_dtype": [[157, "default-uint-dtype"]], "to_dlpack": [[139, "to-dlpack"]], "Note": [[139, null], [128, null], [616, null], [616, null]], "is_int_dtype": [[170, "is-int-dtype"]], "broadcast_to": [[149, "broadcast-to"]], "check_float": [[151, "check-float"]], "triu_indices": [[142, "triu-indices"]], "is_float_dtype": [[168, "is-float-dtype"]], "default_complex_dtype": [[153, "default-complex-dtype"]], "dtype_bits": [[159, "dtype-bits"]], "tril": [[140, "tril"]], "is_uint_dtype": [[172, "is-uint-dtype"]], "set_default_float_dtype": [[178, "set-default-float-dtype"]], "is_bool_dtype": [[166, "is-bool-dtype"]], "unset_default_complex_dtype": [[182, "unset-default-complex-dtype"]], "triu": [[141, "triu"]], "invalid_dtype": [[165, "invalid-dtype"]], "infer_default_dtype": [[164, "infer-default-dtype"]], "set_default_uint_dtype": [[180, "set-default-uint-dtype"]], "promote_types_of_inputs": [[174, "promote-types-of-inputs"]], "unset_default_dtype": [[183, "unset-default-dtype"]], "ones_like": [[138, "ones-like"]], "result_type": [[175, "result-type"]], "promote_types": [[173, "promote-types"]], "broadcast_arrays": [[148, "broadcast-arrays"]], "zeros_like": [[144, "zeros-like"]], "function_supported_dtypes": [[161, "function-supported-dtypes"]], "is_complex_dtype": [[167, "is-complex-dtype"]], "set_default_complex_dtype": [[176, "set-default-complex-dtype"]], "default_float_dtype": [[155, "default-float-dtype"]], "as_ivy_dtype": [[145, "as-ivy-dtype"]], "Vendor-Specific Compilers": [[860, "vendor-specific-compilers"], [861, "vendor-specific-compilers"]], "ICC": [[860, "id1"]], "ICX": [[860, "icx"]], "NVCC": [[860, "nvcc"]], "One liners": [[847, "one-liners"]], "Compiler Infrastructure": [[853, "compiler-infrastructure"], [861, "compiler-infrastructure"]], "LLVM": [[853, "id1"]], "MLIR": [[853, "id2"]], "OneAPI": [[853, "id3"]], "Wrapper Frameworks": [[862, "wrapper-frameworks"], [861, "wrapper-frameworks"]], "EagerPy eagerpy": [[862, "eagerpy-eagerpy"]], "Keras keras": [[862, "keras-keras"]], "Thinc thinc": [[862, "thinc-thinc"]], "TensorLy tensorly": [[862, "tensorly-tensorly"]], "NeuroPod": [[862, "id1"]], "Multi-Vendor Compiler Frameworks": [[858, "multi-vendor-compiler-frameworks"], [861, "multi-vendor-compiler-frameworks"]], "Apache TVM": [[858, "apache-tvm"]], "XLA": [[858, "xla"]], "GCC": [[858, "gcc"]], "ivy.transpile()": [[849, "ivy-transpile"]], "Transpiler API": [[849, "transpiler-api"]], "Using the transpiler": [[849, "using-the-transpiler"]], "Transpiling functions": [[849, "transpiling-functions"]], "Transpiling Libraries": [[849, "transpiling-libraries"]], "Transpiling Modules": [[849, "transpiling-modules"]], "Sharp bits": [[849, "sharp-bits"], [850, "sharp-bits"], [848, "sharp-bits"]], "Examples": [[849, "examples"], [850, "examples"], [848, "examples"], [821, "examples"], [799, "examples"]], "Standardization": [[845, "standardization"]], "Skepticism": [[845, "skepticism"]], "Complimentary vs Competitive": [[845, "complimentary-vs-competitive"]], "Do Standards Work?": [[845, "do-standards-work"]], "The Array API Standard": [[845, "the-array-api-standard"]], "Get Started": [[841, "get-started"]], "Installing using pip": [[841, "installing-using-pip"], [799, "installing-using-pip"]], "Docker": [[841, "docker"]], "Installing from source": [[841, "installing-from-source"]], "Ivy\u2019s tracer and transpiler": [[841, "ivy-s-tracer-and-transpiler"]], "Ivy Folder": [[841, "ivy-folder"]], "Setting Up the API key": [[841, "setting-up-the-api-key"]], "Issues and Questions": [[841, "issues-and-questions"]], "Ivy Tests": [[829, "ivy-tests"], [813, "ivy-tests"]], "Testing Pipeline": [[829, "testing-pipeline"]], "Hypothesis": [[829, "id1"]], "Data Generation": [[829, "id2"]], "Writing your own strategy": [[829, "writing-your-own-strategy"]], "Writing Hypothesis Tests": [[829, "writing-hypothesis-tests"]], "Ivy Test Decorators": [[829, "ivy-test-decorators"]], "Writing Ivy Tests": [[829, "writing-ivy-tests"]], "Integration of Strategies into Ivy Tests": [[829, "integration-of-strategies-into-ivy-tests"]], "Why do we need helper functions?": [[829, "why-do-we-need-helper-functions"]], "How to write Hypothesis Tests effectively": [[829, "how-to-write-hypothesis-tests-effectively"]], "Testing Partial Mixed Functions": [[829, "testing-partial-mixed-functions"]], "Bonus: Hypothesis\u2019 Extended Features": [[829, "bonus-hypothesis-extended-features"]], "Self-Consistent and Explicit Testing": [[829, "self-consistent-and-explicit-testing"]], "test_array_function": [[829, "id4"]], "Running Ivy Tests": [[829, "running-ivy-tests"]], "Re-Running Failed Ivy Tests": [[829, "re-running-failed-ivy-tests"]], "Ivy Stateful API": [[838, "ivy-stateful-api"], [17, "Ivy-Stateful-API"], [26, "Ivy-Stateful-API"]], "Modules": [[838, "modules"]], "Initializers": [[838, "initializers"], [778, "module-ivy.stateful.initializers"]], "Optimizers": [[838, "optimizers"], [783, "module-ivy.stateful.optimizers"]], "Why Unify?": [[846, "why-unify"]], "No More Re-implementations \ud83d\udea7": [[846, "no-more-re-implementations"]], "\u201cInfinite\u201d Shelf-Life \u2705": [[846, "infinite-shelf-life"]], "ML-Unifying Companies": [[857, "ml-unifying-companies"], [861, "ml-unifying-companies"]], "Quansight": [[857, "id1"]], "Modular": [[857, "id2"]], "OctoML": [[857, "id3"]], "Ivy as a Framework": [[835, "ivy-as-a-framework"], [26, "Ivy-as-a-Framework"]], "Exchange Formats": [[854, "exchange-formats"], [861, "exchange-formats"]], "ONNX onnx": [[854, "onnx-onnx"]], "NNEF nnef": [[854, "nnef-nnef"]], "CoreML coreml": [[854, "coreml-coreml"]], "Design": [[833, "design"]], "Ivy Container": [[837, "ivy-container"]], "Construction": [[837, "construction"]], "Representation": [[837, "representation"]], "Recursive Methods": [[837, "recursive-methods"]], "Built-ins": [[837, "built-ins"]], "Access": [[837, "access"]], "Saving and Loading": [[837, "saving-and-loading"]], "Comparisons": [[837, "comparisons"]], "Customized Representations": [[837, "customized-representations"]], "Use Cases": [[837, "use-cases"]], "Compartmentalization": [[837, "compartmentalization"]], "Configuration": [[837, "configuration"]], "Data loading": [[837, "data-loading"]], "Network weights": [[837, "network-weights"]], "Vendor-Specific APIs": [[859, "vendor-specific-apis"], [861, "vendor-specific-apis"]], "TensorRT tensorrt": [[859, "tensorrt-tensorrt"]], "CUDA cuda": [[859, "cuda-cuda"]], "What does Ivy Add?": [[861, "what-does-ivy-add"]], "API Standards": [[861, "api-standards"], [852, "api-standards"]], "Frameworks": [[861, "frameworks"], [855, "frameworks"]], "Graph Tracers": [[861, "graph-tracers"], [856, "graph-tracers"]], "Ivy Array": [[836, "ivy-array"], [809, "ivy-array"]], "The Array Class": [[836, "the-array-class"]], "Unifying Operators": [[836, "unifying-operators"]], "API Monkey Patching": [[836, "api-monkey-patching"]], "Instance Methods": [[836, "instance-methods"]], "Navigating the Code": [[830, "navigating-the-code"]], "Categorization": [[830, "categorization"]], "Submodule Design": [[830, "submodule-design"]], "Ivy API": [[830, "ivy-api"]], "Backend API": [[830, "backend-api"]], "Submodule Helper Functions": [[830, "submodule-helper-functions"]], "Version Unpinning": [[830, "version-unpinning"]], "Glossary": [[842, "glossary"]], "Operating Modes": [[831, "operating-modes"]], "Global Parameter Properties": [[831, "global-parameter-properties"]], "Getter: ivy. attribute": [[831, "getter-ivy-setting-attribute"]], "Setter: ivy.set_ and ivy.unset_ functions": [[831, "setter-ivy-set-setting-and-ivy-unset-setting-functions"]], "ivy.unify()": [[850, "ivy-unify"]], "Unify API": [[850, "unify-api"]], "Usage": [[850, "usage"]], "MATLAB matlab": [[855, "matlab-matlab"]], "SciPy scipy": [[855, "scipy-scipy"]], "Torch torch": [[855, "torch-torch"]], "NumPy numpy": [[855, "numpy-numpy"]], "SciKit Learn scikit-learn": [[855, "scikit-learn-scikit-learn"]], "Theano theano": [[855, "theano-theano"]], "Pandas pandas": [[855, "pandas-pandas"]], "Julia julia": [[855, "julia-julia"]], "Apache Spark MLlib apache-spark-mllib": [[855, "apache-spark-mllib-apache-spark-mllib"]], "Caffe caffe": [[855, "caffe-caffe"]], "Chainer chainer": [[855, "chainer-chainer"]], "TensorFlow 1 tensorflow-1": [[855, "tensorflow-1-tensorflow-1"]], "MXNet mxnet": [[855, "mxnet-mxnet"]], "CNTK cntk": [[855, "cntk-cntk"]], "PyTorch pytorch": [[855, "pytorch-pytorch"]], "Flux flux": [[855, "flux-flux"]], "JAX jax": [[855, "jax-jax"]], "TensorFlow 2 tensorflow-2": [[855, "tensorflow-2-tensorflow-2"]], "DEX Language dex-language": [[855, "dex-language-dex-language"]], "Ivy-Lint: Ivy\u2019s Custom Code Formatters": [[828, "ivy-lint-ivy-s-custom-code-formatters"]], "Overview": [[828, "overview"], [824, "overview"]], "Existing Formatters": [[828, "existing-formatters"]], "FunctionOrderingFormatter": [[828, "functionorderingformatter"]], "How the Formatter Works:": [[828, "how-the-formatter-works"]], "Integration and Usage": [[828, "integration-and-usage"]], "Contribution": [[828, "contribution"]], "Round Up": [[828, "round-up"], [17, "Round-Up"], [28, "Round-Up"], [33, "Round-Up"], [30, "Round-Up"], [31, "Round-Up"], [40, "Round-Up"], [21, "Round-Up"], [19, "Round-Up"], [11, "Round-Up"], [32, "Round-Up"], [29, "Round-Up"], [23, "Round-Up"], [22, "Round-Up"], [20, "Round-Up"], [18, "Round-Up"], [13, "Round-Up"], [27, "Round-Up"]], "Superset Behaviour": [[832, "superset-behaviour"]], "Extending the Standard": [[832, "extending-the-standard"]], "What is the Superset?": [[832, "what-is-the-superset"]], "A Non-Duplicate Superset": [[832, "a-non-duplicate-superset"]], "What is not the Superset?": [[832, "what-is-not-the-superset"]], "Balancing Generalization with Efficiency": [[832, "balancing-generalization-with-efficiency"]], "More Examples": [[832, "more-examples"]], "Maximizing Usage of Native Functionality": [[832, "maximizing-usage-of-native-functionality"]], "tf.Graph": [[856, "tf-graph"]], "Jaxpr": [[856, "jaxpr"]], "torch.jit": [[856, "torch-jit"]], "torch.fx": [[856, "torch-fx"]], "ivy.trace_graph()": [[848, "ivy-trace-graph"]], "Tracer API": [[848, "tracer-api"]], "Using the tracer": [[848, "using-the-tracer"]], "Eager vs lazy Compilation": [[848, "eager-vs-lazy-compilation"]], "Array caching": [[848, "array-caching"]], "Generators": [[848, "generators"]], "Stateful": [[848, "stateful"]], "Motivation": [[843, "motivation"]], "Related Work": [[851, "related-work"]], "FAQ": [[840, "faq"]], "Maintaining Backend Versions": [[840, "maintaining-backend-versions"]], "Dynamic Sizes": [[840, "dynamic-sizes"]], "Type and Shape Checking": [[840, "type-and-shape-checking"]], "GPU handling": [[840, "gpu-handling"]], "Model Deployment": [[840, "model-deployment"]], "Dynamic Control Flow": [[840, "dynamic-control-flow"]], "Auto-Differentiation": [[840, "auto-differentiation"]], "Replicas, and Data vs Model Parallelism": [[840, "replicas-and-data-vs-model-parallelism"]], "Support for Functions": [[840, "support-for-functions"]], "Alternative Data Structures": [[840, "alternative-data-structures"]], "Custom Operations": [[840, "custom-operations"]], "The Pipeline": [[840, "the-pipeline"]], "State": [[840, "state"]], "Ivy as a Transpiler": [[839, "ivy-as-a-transpiler"], [26, "Ivy-as-a-Transpiler"], [27, "Ivy-as-a-Transpiler"]], "Frontend Functional APIs \ud83d\udea7": [[839, "frontend-functional-apis"]], "Role of the Tracer \ud83d\udea7": [[839, "role-of-the-tracer"]], "Converting Network Models \ud83d\udea7": [[839, "converting-network-models"]], "Array API Standard": [[852, "id1"]], "ML Explosion": [[844, "ml-explosion"]], "Building Blocks": [[834, "building-blocks"]], "Backend Functional APIs \u2705": [[834, "backend-functional-apis"]], "Ivy Functional API \u2705": [[834, "ivy-functional-api"]], "Backend Handler \u2705": [[834, "backend-handler"]], "Tracer \ud83d\udea7": [[834, "tracer"]], "Tr tensor": [[94, "module-ivy.data_classes.factorized_tensor.tr_tensor"]], "logspace": [[133, "logspace"]], "Nested array": [[100, "nested-array"]], "while_loop": [[120, "while-loop"]], "softplus": [[113, "softplus"]], "sigmoid": [[111, "sigmoid"]], "meshgrid": [[134, "meshgrid"]], "one_hot": [[136, "one-hot"]], "full_like": [[131, "full-like"]], "native_array": [[135, "native-array"]], "from_dlpack": [[128, "from-dlpack"]], "asarray": [[123, "asarray"]], "Tucker tensor": [[96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"]], "Tt tensor": [[95, "module-ivy.data_classes.factorized_tensor.tt_tensor"]], "Parafac2 tensor": [[93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"]], "try_except": [[119, "try-except"]], "empty_like": [[126, "empty-like"]], "empty": [[125, "empty"]], "for_loop": [[117, "for-loop"]], "Array": [[97, "array"]], "copy_array": [[124, "copy-array"]], "eye": [[127, "eye"]], "mish": [[109, "mish"]], "array": [[122, "array"]], "ones": [[137, "ones"]], "full": [[130, "full"]], "if_else": [[118, "if-else"]], "log_softmax": [[108, "log-softmax"]], "Cp tensor": [[92, "module-ivy.data_classes.factorized_tensor.cp_tensor"]], "gelu": [[105, "gelu"]], "Functions": [[104, "functions"]], "cmp_isnot": [[116, "cmp-isnot"]], "cmp_is": [[115, "cmp-is"]], "leaky_relu": [[107, "leaky-relu"]], "softmax": [[112, "softmax"]], "relu": [[110, "relu"]], "frombuffer": [[129, "frombuffer"]], "softsign": [[114, "softsign"]], "arange": [[121, "arange"]], "Container": [[98, "container"]], "Elementwise": [[102, "module-ivy.data_classes.nested_array.elementwise"], [619, "elementwise"], [365, "elementwise"], [51, "module-ivy.data_classes.array.elementwise"], [74, "module-ivy.data_classes.container.elementwise"]], "Data classes": [[103, "data-classes"]], "hardswish": [[106, "hardswish"]], "Base": [[101, "module-ivy.data_classes.nested_array.base"], [69, "module-ivy.data_classes.container.base"], [91, "module-ivy.data_classes.factorized_tensor.base"]], "linspace": [[132, "linspace"]], "Factorized tensor": [[99, "factorized-tensor"]], "Binaries": [[790, "module-ivy.utils.binaries"]], "Error Handling": [[802, "error-handling"]], "Function Arguments": [[821, "function-arguments"]], "Positional and Keyword Arguments": [[821, "positional-and-keyword-arguments"]], "Input Arrays": [[821, "input-arrays"]], "out Argument": [[821, "out-argument"]], "dtype and device arguments": [[821, "dtype-and-device-arguments"]], "Numbers in Operator Functions": [[821, "numbers-in-operator-functions"]], "Integer Sequences": [[821, "integer-sequences"]], "Nestable Functions": [[821, "nestable-functions"], [822, "nestable-functions"], [812, "nestable-functions"]], "Formatting": [[820, "formatting"]], "Lint Checks": [[820, "lint-checks"], [820, "id2"]], "Setup Formatting Locally": [[820, "setup-formatting-locally"]], "Pre-commit": [[820, "pre-commit"]], "VS Code": [[820, "vs-code"]], "PyCharm": [[820, "pycharm"], [805, "pycharm"]], "Common Issues with Pre-Commit": [[820, "common-issues-with-pre-commit"]], "Continuous Integration": [[820, "continuous-integration"], [813, "continuous-integration"]], "Lint Formatting": [[820, "lint-formatting"]], "Status": [[799, "status"]], "Unified AI": [[799, "unified-ai"]], "Getting started": [[799, "getting-started"]], "Installing ivy": [[799, "installing-ivy"]], "Using Ivy": [[799, "using-ivy"]], "Documentation": [[799, "documentation"]], "Diving deeper": [[799, "diving-deeper"]], "When should I use Ivy as a transpiler?": [[799, "when-should-i-use-ivy-as-a-transpiler"]], "Contributing": [[799, "contributing"], [800, "contributing"]], "Community": [[799, "community"]], "Citation": [[799, "citation"]], "Exception Handling": [[818, "exception-handling"], [823, "exception-handling"]], "Ivy Exception Class": [[818, "ivy-exception-class"]], "Configurable Mode for Stack Trace": [[818, "configurable-mode-for-stack-trace"]], "Ivy func_wrapper Pruning": [[818, "ivy-func-wrapper-pruning"]], "@handle_exceptions Decorator": [[818, "handle-exceptions-decorator"]], "Consistency in Errors": [[818, "consistency-in-errors"]], "Assertion Function": [[818, "assertion-function"]], "Handler": [[788, "module-ivy.utils.backend.handler"]], "Gradients": [[824, "gradients"], [622, "gradients"], [367, "gradients"], [54, "module-ivy.data_classes.array.gradients"], [77, "module-ivy.data_classes.container.gradients"]], "Example Usage of the Gradient API": [[824, "example-usage-of-the-gradient-api"]], "The ivy.execute_with_gradients() function signature": [[824, "the-ivy-execute-with-gradients-function-signature"]], "An example using ivy.execute_with_gradients()": [[824, "an-example-using-ivy-execute-with-gradients"]], "Custom Gradient Functions": [[824, "custom-gradient-functions"]], "Design of the Gradient API": [[824, "design-of-the-gradient-api"]], "Our policy on gradients": [[824, "our-policy-on-gradients"]], "Gradient APIs of frameworks": [[824, "gradient-apis-of-frameworks"]], "General Structure of Backend-specific implementations": [[824, "general-structure-of-backend-specific-implementations"]], "Framework-specific Considerations": [[824, "framework-specific-considerations"]], "Ivy Frontends": [[826, "ivy-frontends"]], "Introduction": [[826, "introduction"], [827, "introduction"], [41, "Introduction"]], "The Frontend Basics": [[826, "the-frontend-basics"]], "Writing Frontend Functions": [[826, "writing-frontend-functions"]], "Short Frontend Implementations": [[826, "short-frontend-implementations"]], "Unused Arguments": [[826, "unused-arguments"]], "Supported Data Types and Devices": [[826, "supported-data-types-and-devices"]], "Classes and Instance Methods": [[826, "classes-and-instance-methods"]], "Frontend Data Type Promotion Rules": [[826, "frontend-data-type-promotion-rules"]], "NumPy Special Argument - Casting": [[826, "numpy-special-argument-casting"]], "Frontends Duplicate Policy": [[826, "frontends-duplicate-policy"]], "Verbosity": [[798, "module-ivy.utils.verbosity"]], "Profiler": [[797, "module-ivy.utils.profiler"]], "Ivy Frontend Tests": [[827, "ivy-frontend-tests"]], "Frontend Test Examples": [[827, "frontend-test-examples"]], "ivy.tan()": [[827, "ivy-tan"]], "ivy.full()": [[827, "ivy-full"]], "Testing Without Using Tests Values": [[827, "testing-without-using-tests-values"]], "Alias functions": [[827, "alias-functions"]], "Frontend Instance Method Tests": [[827, "frontend-instance-method-tests"]], "Frontend Instance Method Test Examples": [[827, "frontend-instance-method-test-examples"]], "ivy.add()": [[827, "ivy-add"]], "Hypothesis Helpers": [[827, "hypothesis-helpers"]], "Frontend Framework Testing Configuration": [[827, "frontend-framework-testing-configuration"]], "Array API Tests": [[808, "array-api-tests"], [813, "array-api-tests"]], "Running the Tests": [[808, "running-the-tests"]], "Using Terminal": [[808, "using-terminal"]], "Using the IDE": [[808, "using-the-ide"]], "Regenerating Test Failures": [[808, "regenerating-test-failures"]], "Test Skipping": [[808, "test-skipping"]], "Backend": [[786, "backend"]], "The Basics": [[806, "the-basics"]], "Getting Help": [[806, "getting-help"]], "ToDo List Issues": [[806, "todo-list-issues"]], "Managing Your Fork": [[806, "managing-your-fork"]], "Who To Ask": [[806, "who-to-ask"]], "With Command Line:": [[806, "with-command-line"]], "With Browser:": [[806, "with-browser"]], "Pull Requests": [[806, "pull-requests"]], "Small Commits Often": [[806, "small-commits-often"]], "Interactive Ivy Docker Container": [[806, "interactive-ivy-docker-container"]], "Running Tests Locally": [[806, "running-tests-locally"]], "With Docker": [[806, "with-docker"]], "Getting the most out of IDE": [[806, "getting-the-most-out-of-ide"]], "with PyCharm": [[806, "with-pycharm"]], "Devices": [[815, "devices"]], "Device Module": [[815, "device-module"]], "Arguments in other Functions": [[815, "arguments-in-other-functions"], [814, "arguments-in-other-functions"]], "Device handling": [[815, "device-handling"]], "Ast helpers": [[787, "module-ivy.utils.backend.ast_helpers"]], "Commit (Push/PR) Triggered Testing": [[813, "commit-push-pr-triggered-testing"]], "Implementation": [[813, "implementation"]], "A Top-Down View": [[813, "a-top-down-view"]], "Storing (and retrieving) the Mapping": [[813, "storing-and-retrieving-the-mapping"]], "Cloning and Pushing to the Repository": [[813, "cloning-and-pushing-to-the-repository"]], "Implementational Nitty Gritties": [[813, "implementational-nitty-gritties"]], "Storage Space (unifyai/Mapping)": [[813, "storage-space-unifyai-mapping"]], "Determine Test Coverage Workflow": [[813, "determine-test-coverage-workflow"]], "Multiple Runners": [[813, "multiple-runners"]], "Race Condition": [[813, "race-condition"]], "Periodic Testing": [[813, "periodic-testing"]], "Manually Dispatched Workflows": [[813, "manually-dispatched-workflows"]], "CI Pipeline \u27a1\ufe0f": [[813, "ci-pipeline"]], "Push": [[813, "push"]], "Pull Request": [[813, "pull-request"]], "Dashboard": [[813, "dashboard"]], "Function Types": [[822, "function-types"]], "Primary Functions": [[822, "primary-functions"]], "Compositional Functions": [[822, "compositional-functions"]], "Mixed Functions": [[822, "mixed-functions"]], "Partial Mixed Functions": [[822, "partial-mixed-functions"]], "Standalone Functions": [[822, "standalone-functions"]], "Convenience Functions": [[822, "convenience-functions"]], "Assertions": [[785, "module-ivy.utils.assertions"], [758, "module-ivy_tests.test_ivy.helpers.assertions"]], "Building the Docs": [[801, "building-the-docs"]], "Building the Docs using Docker": [[801, "building-the-docs-using-docker"]], "Using convenience script": [[801, "using-convenience-script"]], "Using existing image on Docker Hub": [[801, "using-existing-image-on-docker-hub"]], "Building the image locally": [[801, "building-the-image-locally"]], "Building the Docs without Docker": [[801, "building-the-docs-without-docker"]], "Sub backend handler": [[789, "module-ivy.utils.backend.sub_backend_handler"]], "Setting Up": [[805, "setting-up"], [819, "setting-up"]], "Forking and cloning the repo": [[805, "forking-and-cloning-the-repo"]], "Pre-Commit": [[805, "pre-commit"]], "Virtual environments - No Docker": [[805, "virtual-environments-no-docker"]], "Using miniconda": [[805, "using-miniconda"]], "Using venv": [[805, "using-venv"]], "Docker Interpreter with PyCharm": [[805, "docker-interpreter-with-pycharm"]], "Windows": [[805, "windows"], [805, "id6"]], "MacOS": [[805, "macos"]], "Ubuntu": [[805, "ubuntu"], [805, "id8"]], "Setting Up Testing in PyCharm": [[805, "setting-up-testing-in-pycharm"]], "More Detailed Hypothesis Logs in PyCharm": [[805, "more-detailed-hypothesis-logs-in-pycharm"]], "Setting up for Free": [[805, "setting-up-for-free"]], "WSL": [[805, "wsl"]], "GitHub Codespaces": [[805, "github-codespaces"]], "The Binaries": [[805, "the-binaries"]], "Arrays": [[809, "arrays"]], "Native Array": [[809, "native-array"]], "Array Handling": [[809, "array-handling"]], "Integrating custom classes with Ivy": [[809, "integrating-custom-classes-with-ivy"]], "Containers": [[812, "containers"]], "Container Instance Methods": [[812, "container-instance-methods"]], "API Instance Methods": [[812, "api-instance-methods"]], "API Special Methods": [[812, "api-special-methods"]], "Einsum path helpers": [[793, "module-ivy.utils.einsum_path_helpers"]], "Data Types": [[814, "data-types"]], "Data Type Module": [[814, "data-type-module"]], "Data Type Promotion": [[814, "data-type-promotion"]], "Precise Mode": [[814, "precise-mode"]], "Precise Promotion Table": [[814, "precise-promotion-table"]], "Non-Precise Promotion Table": [[814, "non-precise-promotion-table"]], "Supported and Unsupported Data Types": [[814, "supported-and-unsupported-data-types"]], "Supported and Unsupported Data Types Attributes": [[814, "supported-and-unsupported-data-types-attributes"]], "Special Case": [[814, "special-case"]], "Backend Data Type Bugs": [[814, "backend-data-type-bugs"]], "Data Type Casting Modes": [[814, "data-type-casting-modes"]], "Superset Data Type Support": [[814, "superset-data-type-support"]], "Einsum parser": [[792, "module-ivy.utils.einsum_parser"]], "Backend Setting": [[810, "backend-setting"]], "Dynamic Backend Setting": [[810, "dynamic-backend-setting"]], "Backend and Frontend Version Support": [[810, "backend-and-frontend-version-support"]], "Open Tasks": [[804, "open-tasks"]], "Fixing Failing Tests": [[804, "fixing-failing-tests"]], "How to Contribute": [[804, "how-to-contribute"]], "Frontend APIs": [[804, "frontend-apis"]], "Where to place a frontend function": [[804, "where-to-place-a-frontend-function"]], "Frontend checklist": [[804, "frontend-checklist"]], "Function Formatting": [[804, "function-formatting"]], "Formatting checklist": [[804, "formatting-checklist"]], "Ivy Experimental API": [[804, "ivy-experimental-api"]], "Extending the Ivy API": [[804, "extending-the-ivy-api"]], "Where to place a backend function": [[804, "where-to-place-a-backend-function"]], "Creating an Issue on Ivy\u2019s GitHub using a Template": [[804, "creating-an-issue-on-ivy-s-github-using-a-template"]], "Deep Dive": [[807, "deep-dive"]], "Dynamic import": [[791, "module-ivy.utils.dynamic_import"]], "Helpful Resources": [[803, "helpful-resources"]], "Building the Docs Pipeline": [[811, "building-the-docs-pipeline"]], "How the doc-builder is being run": [[811, "how-the-doc-builder-is-being-run"]], "The convenience script": [[811, "the-convenience-script"]], "Options": [[811, "options"]], "The Docker image": [[811, "the-docker-image"]], "How Ivy\u2019s docs is structured": [[811, "how-ivy-s-docs-is-structured"]], "index.rst": [[811, "index-rst"]], "partial_conf.py": [[811, "partial-conf-py"]], "prebuild.sh": [[811, "prebuild-sh"]], "Custom Extensions": [[811, "custom-extensions"]], "custom_autosummary": [[811, "custom-autosummary"]], ":hide-table:": [[811, "hide-table"]], "discussion_linker": [[811, "discussion-linker"]], "skippable_function": [[811, "skippable-function"]], "ivy_data": [[811, "ivy-data"]], "Docstrings": [[817, "docstrings"]], "Logging": [[796, "module-ivy.utils.logging"]], "Fix Failing Tests:": [[819, "fix-failing-tests"]], "Prerequirement:": [[819, "prerequirement"]], "How to run tests": [[819, "how-to-run-tests"]], "Common Errors": [[819, "common-errors"]], "Where to ask for Help": [[819, "where-to-ask-for-help"]], "Norms": [[782, "module-ivy.stateful.norms"], [629, "norms"], [374, "norms"], [60, "module-ivy.data_classes.array.norms"], [83, "module-ivy.data_classes.container.norms"]], "Inspection": [[795, "module-ivy.utils.inspection"]], "Docstring Examples": [[816, "docstring-examples"]], "ivy.tan": [[816, "ivy-tan"]], "ivy.roll": [[816, "ivy-roll"]], "ivy.add": [[816, "ivy-add"]], "Sequential": [[784, "module-ivy.stateful.sequential"]], "Function Wrapping": [[823, "function-wrapping"]], "Decorator order": [[823, "decorator-order"]], "Conversion Wrappers": [[823, "conversion-wrappers"]], "Inference Wrappers": [[823, "inference-wrappers"]], "Out Argument Support": [[823, "out-argument-support"]], "Nestable Support": [[823, "nestable-support"]], "Partial Mixed Function Support": [[823, "partial-mixed-function-support"]], "Shape Conversion": [[823, "shape-conversion"]], "View Handling": [[823, "view-handling"]], "Miscellaneous Wrappers": [[823, "miscellaneous-wrappers"]], "Exceptions": [[794, "module-ivy.utils.exceptions"]], "Inplace Updates": [[825, "inplace-updates"]], "out argument": [[825, "out-argument"]], "copy argument": [[825, "copy-argument"]], "Views": [[825, "views"]], "insert_into_nest_at_index": [[709, "insert-into-nest-at-index"]], "prune_empty": [[719, "prune-empty"]], "fomaml_step": [[702, "fomaml-step"]], "swapaxes": [[698, "swapaxes"]], "prune_nest_at_indices": [[721, "prune-nest-at-indices"]], "index_nest": [[708, "index-nest"]], "randint": [[726, "randint"]], "maml_step": [[703, "maml-step"]], "flip": [[690, "flip"]], "nested_map": [[717, "nested-map"]], "unstack": [[700, "unstack"]], "tile": [[699, "tile"]], "nested_any": [[715, "nested-any"]], "nested_multi_map": [[718, "nested-multi-map"]], "layer_norm": [[724, "layer-norm"]], "zero_pad": [[701, "zero-pad"]], "random_normal": [[727, "random-normal"]], "insert_into_nest_at_indices": [[710, "insert-into-nest-at-indices"]], "roll": [[694, "roll"]], "duplicate_array_index_chains": [[707, "duplicate-array-index-chains"]], "multi_index_nest": [[714, "multi-index-nest"]], "set_nest_at_indices": [[723, "set-nest-at-indices"]], "argmin": [[732, "argmin"]], "map_nest_at_index": [[712, "map-nest-at-index"]], "reshape": [[693, "reshape"]], "nonzero": [[734, "nonzero"]], "argmax": [[731, "argmax"]], "reptile_step": [[704, "reptile-step"]], "stack": [[697, "stack"]], "multinomial": [[725, "multinomial"]], "where": [[735, "where"]], "nested_argwhere": [[716, "nested-argwhere"]], "permute_dims": [[691, "permute-dims"]], "squeeze": [[696, "squeeze"]], "map": [[711, "map"]], "all_nested_indices": [[705, "all-nested-indices"]], "prune_nest_at_index": [[720, "prune-nest-at-index"]], "seed": [[729, "seed"]], "split": [[695, "split"]], "map_nest_at_indices": [[713, "map-nest-at-indices"]], "repeat": [[692, "repeat"]], "argwhere": [[733, "argwhere"]], "set_nest_at_index": [[722, "set-nest-at-index"]], "random_uniform": [[728, "random-uniform"]], "shuffle": [[730, "shuffle"]], "copy_nest": [[706, "copy-nest"]], "Multiprocessing": [[767, "module-ivy_tests.test_ivy.helpers.multiprocessing"]], "save": [[757, "save"]], "all": [[754, "all"]], "Available frameworks": [[759, "module-ivy_tests.test_ivy.helpers.available_frameworks"]], "mean": [[748, "mean"]], "Module": [[781, "module-ivy.stateful.module"]], "einsum": [[746, "einsum"]], "Utils": [[773, "utils"]], "Layers": [[779, "module-ivy.stateful.layers"], [623, "layers"], [368, "layers"], [79, "module-ivy.data_classes.container.layers"], [56, "module-ivy.data_classes.array.layers"]], "unique_counts": [[737, "unique-counts"]], "Data-dependent output shape": [[737, null], [738, null], [739, null], [736, null], [632, null], [632, null], [632, null], [632, null]], "sum": [[752, "sum"]], "min": [[749, "min"]], "Helpers": [[777, "module-ivy.stateful.helpers"]], "Number helpers": [[766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"]], "Structs": [[769, "module-ivy_tests.test_ivy.helpers.structs"]], "Testing": [[774, "testing"], [40, "Testing"]], "var": [[753, "var"]], "Activations": [[775, "module-ivy.stateful.activations"], [613, "activations"], [360, "activations"], [68, "module-ivy.data_classes.container.activations"], [46, "module-ivy.data_classes.array.activations"]], "Parameter": [[775, "parameter"], [775, "id1"], [566, "parameter"], [567, "parameter"], [575, "parameter"], [573, "parameter"], [576, "parameter"], [572, "parameter"], [618, "parameter"], [621, "parameter"], [621, "id1"], [621, "id2"], [621, "id3"], [621, "id4"], [621, "id5"], [205, "parameter"]], "std": [[751, "std"]], "Converters": [[776, "module-ivy.stateful.converters"]], "cumprod": [[744, "cumprod"]], "Globals": [[761, "module-ivy_tests.test_ivy.helpers.globals"]], "unique_inverse": [[738, "unique-inverse"]], "cumsum": [[745, "cumsum"]], "sort": [[743, "sort"]], "Array helpers": [[763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"]], "Function testing": [[760, "module-ivy_tests.test_ivy.helpers.function_testing"]], "Framework classes": [[772, "framework-classes"]], "Pipeline helper": [[768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"]], "General helpers": [[765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"]], "max": [[747, "max"]], "Losses": [[780, "module-ivy.stateful.losses"], [625, "losses"], [370, "losses"], [81, "module-ivy.data_classes.container.losses"], [58, "module-ivy.data_classes.array.losses"]], "Testing helpers": [[771, "module-ivy_tests.test_ivy.helpers.testing_helpers"]], "Hypothesis helpers": [[762, "hypothesis-helpers"]], "load": [[756, "load"]], "Dtype helpers": [[764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"]], "msort": [[741, "msort"]], "argsort": [[740, "argsort"]], "prod": [[750, "prod"]], "unique_values": [[739, "unique-values"]], "Test parameter flags": [[770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"]], "any": [[755, "any"]], "unique_all": [[736, "unique-all"]], "searchsorted": [[742, "searchsorted"]], "depthwise_conv2d": [[645, "depthwise-conv2d"]], "matmul": [[664, "matmul"]], "sparse_cross_entropy": [[685, "sparse-cross-entropy"]], "matrix_transpose": [[668, "matrix-transpose"]], "vecdot": [[680, "vecdot"]], "cross_entropy": [[684, "cross-entropy"]], "inner": [[661, "inner"]], "diagonal": [[657, "diagonal"]], "eigvalsh": [[660, "eigvalsh"]], "matrix_norm": [[665, "matrix-norm"]], "concat": [[687, "concat"]], "nms": [[650, "nms"]], "pinv": [[670, "pinv"]], "matrix_power": [[666, "matrix-power"]], "vander": [[679, "vander"]], "svd": [[674, "svd"]], "det": [[655, "det"]], "tensorsolve": [[677, "tensorsolve"]], "lstm_update": [[648, "lstm-update"]], "inv": [[662, "inv"]], "slogdet": [[672, "slogdet"]], "clip": [[686, "clip"]], "vector_norm": [[681, "vector-norm"]], "tensordot": [[676, "tensordot"]], "conv_general_transpose": [[644, "conv-general-transpose"]], "vector_to_skew_symmetric_matrix": [[682, "vector-to-skew-symmetric-matrix"]], "binary_cross_entropy": [[683, "binary-cross-entropy"]], "diag": [[656, "diag"]], "scaled_dot_product_attention": [[652, "scaled-dot-product-attention"]], "outer": [[669, "outer"]], "solve": [[673, "solve"]], "cholesky": [[653, "cholesky"]], "matrix_rank": [[667, "matrix-rank"]], "trace": [[678, "trace"]], "dropout": [[646, "dropout"]], "lu_factor": [[663, "lu-factor"]], "multi_head_attention": [[649, "multi-head-attention"]], "qr": [[671, "qr"]], "eigh": [[659, "eigh"]], "roi_align": [[651, "roi-align"]], "constant_pad": [[688, "constant-pad"]], "linear": [[647, "linear"]], "cross": [[654, "cross"]], "expand_dims": [[689, "expand-dims"]], "svdvals": [[675, "svdvals"]], "eig": [[658, "eig"], [421, "eig"]], "is_array": [[552, "is-array"]], "unset_inplace_mode": [[591, "unset-inplace-mode"]], "unset_queue_timeout": [[596, "unset-queue-timeout"]], "is_ivy_container": [[554, "is-ivy-container"]], "is_ivy_nested_array": [[555, "is-ivy-nested-array"]], "set_array_mode": [[566, "set-array-mode"]], "is_ivy_array": [[553, "is-ivy-array"]], "print_all_arrays_in_memory": [[563, "print-all-arrays-in-memory"]], "set_min_denominator": [[571, "set-min-denominator"]], "unset_min_denominator": [[593, "unset-min-denominator"]], "set_inplace_mode": [[568, "set-inplace-mode"]], "to_ivy_shape": [[583, "to-ivy-shape"]], "scatter_flat": [[564, "scatter-flat"]], "isin": [[557, "isin"]], "try_else_none": [[588, "try-else-none"]], "set_exception_trace_mode": [[567, "set-exception-trace-mode"]], "to_numpy": [[586, "to-numpy"]], "stable_pow": [[580, "stable-pow"]], "set_shape_array_mode": [[575, "set-shape-array-mode"]], "set_precise_mode": [[573, "set-precise-mode"]], "to_native_shape": [[585, "to-native-shape"]], "unset_nestable_mode": [[594, "unset-nestable-mode"]], "stable_divide": [[579, "stable-divide"]], "unset_exception_trace_mode": [[590, "unset-exception-trace-mode"]], "set_tmp_dir": [[577, "set-tmp-dir"]], "multiprocessing": [[561, "multiprocessing"]], "match_kwargs": [[560, "match-kwargs"]], "scatter_nd": [[565, "scatter-nd"]], "to_scalar": [[587, "to-scalar"]], "strides": [[581, "strides"]], "unset_min_base": [[592, "unset-min-base"]], "shape": [[578, "shape"]], "unset_shape_array_mode": [[597, "unset-shape-array-mode"]], "supports_inplace_updates": [[582, "supports-inplace-updates"]], "isscalar": [[558, "isscalar"]], "num_arrays_in_memory": [[562, "num-arrays-in-memory"]], "itemsize": [[559, "itemsize"]], "is_native_array": [[556, "is-native-array"]], "unset_precise_mode": [[595, "unset-precise-mode"]], "set_min_base": [[570, "set-min-base"]], "set_show_func_wrapper_trace_mode": [[576, "set-show-func-wrapper-trace-mode"]], "set_queue_timeout": [[574, "set-queue-timeout"]], "unset_array_mode": [[589, "unset-array-mode"]], "set_item": [[569, "set-item"]], "to_list": [[584, "to-list"]], "set_nestable_mode": [[572, "set-nestable-mode"]], "inplace_variables_supported": [[551, "inplace-variables-supported"]], "fourier_encode": [[537, "fourier-encode"]], "cache_fn": [[527, "cache-fn"]], "bincount": [[508, "bincount"]], "has_nans": [[546, "has-nans"]], "inplace_decrement": [[548, "inplace-decrement"]], "get_referrers_recursive": [[545, "get-referrers-recursive"]], "function_unsupported_devices_and_dtypes": [[539, "function-unsupported-devices-and-dtypes"]], "einops_rearrange": [[533, "einops-rearrange"]], "all_equal": [[522, "all-equal"]], "default": [[532, "default"]], "container_types": [[530, "container-types"]], "native_sparse_array_to_indices_values_and_shape": [[507, "native-sparse-array-to-indices-values-and-shape"]], "clip_vector_norm": [[529, "clip-vector-norm"]], "get_all_arrays_in_memory": [[542, "get-all-arrays-in-memory"]], "arg_names": [[524, "arg-names"]], "histogram": [[513, "histogram"]], "gather_nd": [[541, "gather-nd"]], "nanmean": [[516, "nanmean"]], "optional_get_element": [[521, "optional-get-element"]], "cummin": [[512, "cummin"]], "assert_supports_inplace": [[526, "assert-supports-inplace"]], "quantile": [[520, "quantile"]], "inplace_increment": [[549, "inplace-increment"]], "corrcoef": [[509, "corrcoef"]], "arg_info": [[523, "arg-info"]], "einops_repeat": [[535, "einops-repeat"]], "get_num_dims": [[544, "get-num-dims"]], "nanmedian": [[517, "nanmedian"]], "function_supported_devices_and_dtypes": [[538, "function-supported-devices-and-dtypes"]], "inplace_update": [[550, "inplace-update"]], "inplace_arrays_supported": [[547, "inplace-arrays-supported"]], "exists": [[536, "exists"]], "cov": [[510, "cov"]], "clip_matrix_norm": [[528, "clip-matrix-norm"]], "native_sparse_array": [[506, "native-sparse-array"]], "nanmin": [[518, "nanmin"]], "current_backend_str": [[531, "current-backend-str"]], "cummax": [[511, "cummax"]], "einops_reduce": [[534, "einops-reduce"]], "array_equal": [[525, "array-equal"]], "nanprod": [[519, "nanprod"]], "median": [[515, "median"]], "gather": [[540, "gather"]], "igamma": [[514, "igamma"]], "get_item": [[543, "get-item"]], "is_native_sparse_array": [[505, "is-native-sparse-array"]], "dirichlet": [[498, "dirichlet"]], "put_along_axis": [[478, "put-along-axis"]], "vsplit": [[487, "vsplit"]], "fill_diagonal": [[462, "fill-diagonal"]], "dstack": [[460, "dstack"]], "fold": [[466, "fold"]], "trim_zeros": [[484, "trim-zeros"]], "vstack": [[488, "vstack"]], "l2_normalize": [[493, "l2-normalize"]], "poisson": [[500, "poisson"]], "group_norm": [[490, "group-norm"]], "unfold": [[485, "unfold"]], "moveaxis": [[472, "moveaxis"]], "expand": [[461, "expand"]], "gamma": [[499, "gamma"]], "unravel_index": [[501, "unravel-index"]], "partial_fold": [[474, "partial-fold"]], "is_ivy_sparse_array": [[504, "is-ivy-sparse-array"]], "fliplr": [[464, "fliplr"]], "take_along_axis": [[482, "take-along-axis"]], "pad": [[473, "pad"]], "local_response_norm": [[494, "local-response-norm"]], "hsplit": [[468, "hsplit"]], "rot90": [[479, "rot90"]], "partial_unfold": [[476, "partial-unfold"]], "instance_norm": [[491, "instance-norm"]], "flatten": [[463, "flatten"]], "i0": [[470, "i0"]], "heaviside": [[467, "heaviside"]], "matricize": [[471, "matricize"]], "top_k": [[483, "top-k"]], "lp_normalize": [[495, "lp-normalize"]], "partial_tensor_to_vec": [[475, "partial-tensor-to-vec"]], "unique_consecutive": [[486, "unique-consecutive"]], "flipud": [[465, "flipud"]], "take": [[481, "take"]], "hstack": [[469, "hstack"]], "l1_normalize": [[492, "l1-normalize"]], "beta": [[497, "beta"]], "invert_permutation": [[502, "invert-permutation"]], "batch_norm": [[489, "batch-norm"]], "partial_vec_to_tensor": [[477, "partial-vec-to-tensor"]], "lexsort": [[503, "lexsort"]], "bernoulli": [[496, "bernoulli"]], "soft_thresholding": [[480, "soft-thresholding"]], "conv3d_transpose": [[642, "conv3d-transpose"]], "value_is_nan": [[600, "value-is-nan"]], "adam_step": [[602, "adam-step"]], "Data type": [[617, "data-type"], [363, "module-ivy.functional.ivy.experimental.data_type"], [72, "module-ivy.data_classes.container.data_type"], [49, "module-ivy.data_classes.array.data_type"]], "Nest": [[628, "nest"], [373, "module-ivy.functional.ivy.experimental.nest"]], "conv_general_dilated": [[643, "conv-general-dilated"]], "Sorting": [[633, "sorting"], [378, "sorting"], [87, "module-ivy.data_classes.container.sorting"], [64, "module-ivy.data_classes.array.sorting"]], "Utility": [[635, "utility"], [381, "utility"], [66, "module-ivy.data_classes.array.utility"], [89, "module-ivy.data_classes.container.utility"]], "conv2d_transpose": [[640, "conv2d-transpose"]], "Experimental": [[620, "experimental"], [52, "module-ivy.data_classes.array.experimental"], [75, "module-ivy.data_classes.container.experimental"]], "adam_update": [[603, "adam-update"]], "gradient_descent_update": [[606, "gradient-descent-update"]], "Device": [[618, "device"], [364, "module-ivy.functional.ivy.experimental.device"], [73, "module-ivy.data_classes.container.device"], [50, "module-ivy.data_classes.array.device"]], "lars_update": [[609, "lars-update"]], "Manipulation": [[626, "manipulation"], [371, "manipulation"], [82, "module-ivy.data_classes.container.manipulation"], [59, "module-ivy.data_classes.array.manipulation"]], "unset_tmp_dir": [[599, "unset-tmp-dir"]], "jac": [[607, "jac"]], "conv": [[636, "conv"]], "Control flow ops": [[615, "control-flow-ops"]], "Constants": [[614, "module-ivy.functional.ivy.constants"], [361, "module-ivy.functional.ivy.experimental.constants"]], "optimizer_update": [[610, "optimizer-update"]], "conv2d": [[639, "conv2d"]], "Random": [[630, "random"], [375, "random"], [84, "module-ivy.data_classes.container.random"], [61, "module-ivy.data_classes.array.random"]], "Creation": [[616, "creation"], [362, "creation"], [48, "module-ivy.data_classes.array.creation"], [71, "module-ivy.data_classes.container.creation"]], "vmap": [[601, "vmap"]], "Linear algebra": [[624, "linear-algebra"], [369, "linear-algebra"], [80, "module-ivy.data_classes.container.linear_algebra"], [57, "module-ivy.data_classes.array.linear_algebra"]], "Searching": [[631, "searching"], [376, "searching"], [62, "module-ivy.data_classes.array.searching"], [85, "module-ivy.data_classes.container.searching"]], "Statistical": [[634, "statistical"], [380, "statistical"], [88, "module-ivy.data_classes.container.statistical"], [65, "module-ivy.data_classes.array.statistical"]], "conv1d": [[637, "conv1d"]], "stop_gradient": [[611, "stop-gradient"]], "Meta": [[627, "meta"], [372, "module-ivy.functional.ivy.experimental.meta"]], "conv1d_transpose": [[638, "conv1d-transpose"]], "Set": [[632, "set"], [377, "module-ivy.functional.ivy.experimental.set"], [63, "module-ivy.data_classes.array.set"], [86, "module-ivy.data_classes.container.set"]], "conv3d": [[641, "conv3d"]], "unset_show_func_wrapper_trace_mode": [[598, "unset-show-func-wrapper-trace-mode"]], "execute_with_gradients": [[604, "execute-with-gradients"]], "General": [[621, "general"], [366, "general"], [53, "module-ivy.data_classes.array.general"], [76, "module-ivy.data_classes.container.general"]], "lamb_update": [[608, "lamb-update"]], "grad": [[605, "grad"]], "value_and_grad": [[612, "value-and-grad"]], "eigvals": [[423, "eigvals"]], "concat_from_sequence": [[458, "concat-from-sequence"]], "sliding_window": [[414, "sliding-window"]], "kronecker": [[429, "kronecker"]], "solve_triangular": [[436, "solve-triangular"]], "multi_mode_dot": [[434, "multi-mode-dot"]], "tensor_train": [[438, "tensor-train"]], "tt_matrix_to_tensor": [[440, "tt-matrix-to-tensor"]], "kl_div": [[443, "kl-div"]], "log_poisson_loss": [[445, "log-poisson-loss"]], "atleast_3d": [[453, "atleast-3d"]], "l1_loss": [[444, "l1-loss"]], "truncated_svd": [[439, "truncated-svd"]], "smooth_l1_loss": [[447, "smooth-l1-loss"]], "associative_scan": [[450, "associative-scan"]], "diagflat": [[419, "diagflat"]], "matrix_exp": [[431, "matrix-exp"]], "make_svd_non_negative": [[430, "make-svd-non-negative"]], "huber_loss": [[442, "huber-loss"]], "as_strided": [[449, "as-strided"]], "dsplit": [[459, "dsplit"]], "general_inner_product": [[424, "general-inner-product"]], "khatri_rao": [[427, "khatri-rao"]], "eigh_tridiagonal": [[422, "eigh-tridiagonal"]], "mode_dot": [[432, "mode-dot"]], "batched_outer": [[417, "batched-outer"]], "broadcast_shapes": [[454, "broadcast-shapes"]], "initialize_tucker": [[426, "initialize-tucker"]], "tucker": [[441, "tucker"]], "atleast_1d": [[451, "atleast-1d"]], "svd_flip": [[437, "svd-flip"]], "cond": [[418, "cond"]], "kron": [[428, "kron"]], "dot": [[420, "dot"]], "soft_margin_loss": [[448, "soft-margin-loss"]], "check_scalar": [[455, "check-scalar"]], "adjoint": [[416, "adjoint"]], "stft": [[415, "stft"]], "poisson_nll_loss": [[446, "poisson-nll-loss"]], "partial_tucker": [[435, "partial-tucker"]], "atleast_2d": [[452, "atleast-2d"]], "higher_order_moment": [[425, "higher-order-moment"]], "column_stack": [[457, "column-stack"]], "multi_dot": [[433, "multi-dot"]], "choose": [[456, "choose"]], "fft2": [[396, "fft2"]], "avg_pool2d": [[387, "avg-pool2d"]], "fft": [[395, "fft"]], "adaptive_max_pool2d": [[384, "adaptive-max-pool2d"]], "max_pool3d": [[406, "max-pool3d"]], "reduce_window": [[410, "reduce-window"]], "dft": [[390, "dft"]], "embedding": [[394, "embedding"]], "rfft": [[411, "rfft"]], "get_interpolate_kernel": [[398, "get-interpolate-kernel"]], "idct": [[399, "idct"]], "dct": [[389, "dct"]], "ifftn": [[401, "ifftn"]], "nearest_interpolate": [[408, "nearest-interpolate"]], "pool": [[409, "pool"]], "rfftn": [[412, "rfftn"]], "dropout3d": [[393, "dropout3d"]], "adaptive_avg_pool2d": [[383, "adaptive-avg-pool2d"]], "area_interpolate": [[385, "area-interpolate"]], "avg_pool1d": [[386, "avg-pool1d"]], "avg_pool3d": [[388, "avg-pool3d"]], "rnn": [[413, "rnn"]], "dropout2d": [[392, "dropout2d"]], "adaptive_avg_pool1d": [[382, "adaptive-avg-pool1d"]], "interp": [[402, "interp"]], "interpolate": [[403, "interpolate"]], "max_pool1d": [[404, "max-pool1d"]], "Sparse array": [[379, "sparse-array"]], "generate_einsum_equation": [[397, "generate-einsum-equation"]], "max_unpool1d": [[407, "max-unpool1d"]], "ifft": [[400, "ifft"]], "dropout1d": [[391, "dropout1d"]], "max_pool2d": [[405, "max-pool2d"]], "unsorted_segment_mean": [[324, "unsorted-segment-mean"]], "signbit": [[351, "signbit"]], "vorbis_window": [[327, "vorbis-window"]], "trilu": [[323, "trilu"]], "zeta": [[355, "zeta"]], "nansum": [[349, "nansum"]], "tril_indices": [[322, "tril-indices"]], "conj": [[332, "conj"]], "bind_custom_gradient_function": [[357, "bind-custom-gradient-function"]], "diff": [[335, "diff"]], "binarizer": [[331, "binarizer"]], "unsorted_segment_min": [[325, "unsorted-segment-min"]], "modf": [[348, "modf"]], "xlogy": [[354, "xlogy"]], "digamma": [[336, "digamma"]], "unsorted_segment_sum": [[326, "unsorted-segment-sum"]], "amin": [[330, "amin"]], "allclose": [[328, "allclose"]], "float_power": [[339, "float-power"]], "copysign": [[333, "copysign"]], "gradient": [[342, "gradient"]], "erfc": [[337, "erfc"]], "amax": [[329, "amax"]], "ldexp": [[345, "ldexp"]], "jvp": [[358, "jvp"]], "sinc": [[352, "sinc"]], "sparsify_tensor": [[353, "sparsify-tensor"]], "frexp": [[341, "frexp"]], "vjp": [[359, "vjp"]], "fmax": [[340, "fmax"]], "lgamma": [[347, "lgamma"]], "isclose": [[344, "isclose"]], "lerp": [[346, "lerp"]], "count_nonzero": [[334, "count-nonzero"]], "reduce": [[356, "reduce"]], "hypot": [[343, "hypot"]], "fix": [[338, "fix"]], "nextafter": [[350, "nextafter"]], "selu": [[299, "selu"]], "hamming_window": [[308, "hamming-window"]], "trunc": [[288, "trunc"]], "remainder": [[277, "remainder"]], "hardshrink": [[292, "hardshrink"]], "relu6": [[297, "relu6"]], "hann_window": [[309, "hann-window"]], "prelu": [[296, "prelu"]], "blackman_window": [[306, "blackman-window"]], "softshrink": [[301, "softshrink"]], "polyval": [[316, "polyval"]], "round": [[278, "round"]], "reciprocal": [[276, "reciprocal"]], "trapz": [[287, "trapz"]], "hardtanh": [[293, "hardtanh"]], "random_tucker": [[321, "random-tucker"]], "sqrt": [[282, "sqrt"]], "trunc_divide": [[289, "trunc-divide"]], "mel_weight_matrix": [[313, "mel-weight-matrix"]], "stanh": [[302, "stanh"]], "sign": [[279, "sign"]], "ndenumerate": [[314, "ndenumerate"]], "eye_like": [[307, "eye-like"]], "square": [[283, "square"]], "elu": [[291, "elu"]], "celu": [[290, "celu"]], "thresholded_relu": [[305, "thresholded-relu"]], "kaiser_bessel_derived_window": [[311, "kaiser-bessel-derived-window"]], "random_parafac2": [[318, "random-parafac2"]], "scaled_tanh": [[298, "scaled-tanh"]], "tanh": [[286, "tanh"]], "indices": [[310, "indices"]], "subtract": [[284, "subtract"]], "kaiser_window": [[312, "kaiser-window"]], "random_cp": [[317, "random-cp"]], "logit": [[294, "logit"]], "logsigmoid": [[295, "logsigmoid"]], "tanhshrink": [[303, "tanhshrink"]], "ndindex": [[315, "ndindex"]], "random_tt": [[320, "random-tt"]], "threshold": [[304, "threshold"]], "sinh": [[281, "sinh"]], "random_tr": [[319, "random-tr"]], "silu": [[300, "silu"]], "sin": [[280, "sin"]], "tan": [[285, "tan"]], "divide": [[235, "divide"]], "maximum": [[266, "maximum"]], "logical_and": [[262, "logical-and"]], "imag": [[248, "imag"]], "isnan": [[251, "isnan"]], "nan_to_num": [[269, "nan-to-num"]], "log2": [[259, "log2"]], "fmod": [[244, "fmod"]], "multiply": [[268, "multiply"]], "exp": [[238, "exp"]], "gcd": [[245, "gcd"]], "fmin": [[243, "fmin"]], "greater_equal": [[247, "greater-equal"]], "not_equal": [[271, "not-equal"]], "logical_xor": [[265, "logical-xor"]], "bitwise_xor": [[230, "bitwise-xor"]], "pow": [[273, "pow"]], "logaddexp": [[260, "logaddexp"]], "logical_or": [[264, "logical-or"]], "log": [[256, "log"]], "floor_divide": [[242, "floor-divide"]], "less": [[254, "less"]], "positive": [[272, "positive"]], "lcm": [[253, "lcm"]], "cos": [[232, "cos"]], "negative": [[270, "negative"]], "exp2": [[239, "exp2"]], "minimum": [[267, "minimum"]], "log10": [[257, "log10"]], "greater": [[246, "greater"]], "floor": [[241, "floor"]], "rad2deg": [[274, "rad2deg"]], "cosh": [[233, "cosh"]], "deg2rad": [[234, "deg2rad"]], "equal": [[236, "equal"]], "isfinite": [[249, "isfinite"]], "ceil": [[231, "ceil"]], "expm1": [[240, "expm1"]], "isinf": [[250, "isinf"]], "less_equal": [[255, "less-equal"]], "logaddexp2": [[261, "logaddexp2"]], "real": [[275, "real"]], "isreal": [[252, "isreal"]], "log1p": [[258, "log1p"]], "erf": [[237, "erf"]], "logical_not": [[263, "logical-not"]], "unset_default_float_dtype": [[184, "unset-default-float-dtype"]], "as_native_dev": [[189, "as-native-dev"]], "num_ivy_arrays_on_dev": [[201, "num-ivy-arrays-on-dev"]], "set_default_device": [[204, "set-default-device"]], "to_device": [[209, "to-device"]], "dev_util": [[193, "dev-util"]], "num_gpus": [[200, "num-gpus"]], "set_soft_device_mode": [[205, "set-soft-device-mode"]], "bitwise_invert": [[226, "bitwise-invert"]], "asin": [[220, "asin"]], "percent_used_mem_on_dev": [[202, "percent-used-mem-on-dev"]], "atan2": [[223, "atan2"]], "split_func_call": [[208, "split-func-call"]], "acosh": [[217, "acosh"]], "unset_default_uint_dtype": [[186, "unset-default-uint-dtype"]], "default_device": [[191, "default-device"]], "unset_default_device": [[212, "unset-default-device"]], "function_supported_devices": [[194, "function-supported-devices"]], "clear_cached_mem_on_dev": [[190, "clear-cached-mem-on-dev"]], "num_cpu_cores": [[199, "num-cpu-cores"]], "bitwise_and": [[225, "bitwise-and"]], "atan": [[222, "atan"]], "valid_dtype": [[187, "valid-dtype"]], "bitwise_or": [[228, "bitwise-or"]], "unset_soft_device_mode": [[213, "unset-soft-device-mode"]], "bitwise_left_shift": [[227, "bitwise-left-shift"]], "asinh": [[221, "asinh"]], "as_ivy_dev": [[188, "as-ivy-dev"]], "get_all_ivy_arrays_on_dev": [[196, "get-all-ivy-arrays-on-dev"]], "total_mem_on_dev": [[210, "total-mem-on-dev"]], "acos": [[216, "acos"]], "bitwise_right_shift": [[229, "bitwise-right-shift"]], "dev": [[192, "dev"]], "angle": [[219, "angle"]], "tpu_is_available": [[211, "tpu-is-available"]], "function_unsupported_devices": [[195, "function-unsupported-devices"]], "unset_default_int_dtype": [[185, "unset-default-int-dtype"]], "split_factor": [[207, "split-factor"]], "print_all_ivy_arrays_on_dev": [[203, "print-all-ivy-arrays-on-dev"]], "used_mem_on_dev": [[214, "used-mem-on-dev"]], "set_split_factor": [[206, "set-split-factor"]], "handle_soft_device_variable": [[198, "handle-soft-device-variable"]], "gpu_is_available": [[197, "gpu-is-available"]], "atanh": [[224, "atanh"]], "add": [[218, "add"]], "abs": [[215, "abs"]], "Wrapping": [[90, "module-ivy.data_classes.container.wrapping"], [67, "module-ivy.data_classes.array.wrapping"]], "Image": [[78, "module-ivy.data_classes.container.image"], [55, "module-ivy.data_classes.array.image"]], "Conversions": [[47, "module-ivy.data_classes.array.conversions"], [70, "module-ivy.data_classes.container.conversions"]], "3.1: Stable Diffusion": [[37, "3.1:-Stable-Diffusion"]], "Transpile any model": [[24, "Transpile-any-model"]], "Round up": [[24, "Round-up"]], "Resnet 18": [[45, "Resnet-18"]], "Write Ivy code": [[17, "Write-Ivy-code"]], "Contents": [[17, "Contents"]], "Installing Ivy": [[17, "Installing-Ivy"]], "Importing Ivy": [[17, "Importing-Ivy"]], "Ivy Backend Handler": [[17, "Ivy-Backend-Handler"], [26, "Ivy-Backend-Handler"]], "Data Structures": [[17, "Data-Structures"], [26, "Data-Structures"]], "Ivy Functional API": [[17, "Ivy-Functional-API"], [26, "Ivy-Functional-API"]], "0.0: Unify": [[28, "0.0:-Unify"]], "1.2: As a Decorator": [[33, "1.2:-As-a-Decorator"]], "Unify": [[33, "Unify"], [31, "Unify"], [21, "Unify"], [32, "Unify"], [22, "Unify"]], "Compile": [[33, "Compile"], [31, "Compile"], [32, "Compile"]], "Transpile": [[33, "Transpile"], [31, "Transpile"], [21, "Transpile"], [32, "Transpile"], [22, "Transpile"]], "0.2: Transpile": [[30, "0.2:-Transpile"]], "Basic Operations with Ivy": [[38, "Basic-Operations-with-Ivy"]], "Installs \ud83d\udcbe": [[38, "Installs-\ud83d\udcbe"], [39, "Installs-\ud83d\udcbe"]], "Imports \ud83d\udec3": [[38, "Imports-\ud83d\udec3"], [39, "Imports-\ud83d\udec3"]], "Ivy as a Unified ML Framework \ud83d\udd00": [[38, "Ivy-as-a-Unified-ML-Framework-\ud83d\udd00"]], "Change frameworks by one line of code \u261d": [[38, "Change-frameworks-by-one-line-of-code-\u261d"]], "No need to worry about data types \ud83c\udfa8": [[38, "No-need-to-worry-about-data-types-\ud83c\udfa8"]], "No need to worry about framework differences \ud83d\udcb1": [[38, "No-need-to-worry-about-framework-differences-\ud83d\udcb1"]], "Unifying them all! \ud83c\udf72": [[38, "Unifying-them-all!-\ud83c\udf72"]], "Ivy as a standalone ML framework \ud83c\udf00": [[38, "Ivy-as-a-standalone-ML-framework-\ud83c\udf00"]], "Set Backend Framework": [[38, "Set-Backend-Framework"]], "Define Model": [[38, "Define-Model"], [39, "Define-Model"]], "Create Model": [[38, "Create-Model"]], "Create Optimizer": [[38, "Create-Optimizer"]], "Input and Target": [[38, "Input-and-Target"]], "Loss Function": [[38, "Loss-Function"]], "Training Loop": [[38, "Training-Loop"]], "1.0: Lazy vs Eager": [[31, "1.0:-Lazy-vs-Eager"]], "HuggingFace Tensorflow DeiT": [[43, "HuggingFace-Tensorflow-DeiT"]], "Graph can be visualized and displayed as html file on browser": [[43, "Graph-can-be-visualized-and-displayed-as-html-file-on-browser"]], "Image Segmentation with Ivy UNet": [[5, "Image-Segmentation-with-Ivy-UNet"]], "Imports": [[5, "Imports"], [7, "Imports"], [9, "Imports"]], "Data Preparation": [[5, "Data-Preparation"], [7, "Data-Preparation"], [3, "Data-Preparation"], [4, "Data-Preparation"]], "Custom Preprocessing": [[5, "Custom-Preprocessing"]], "Load the image example \ud83d\uddbc\ufe0f": [[5, "Load-the-image-example-\ud83d\uddbc\ufe0f"], [7, "Load-the-image-example-\ud83d\uddbc\ufe0f"]], "Visualise image": [[5, "Visualise-image"], [7, "Visualise-image"]], "Model Inference": [[5, "Model-Inference"]], "Initializing Native Torch UNet": [[5, "Initializing-Native-Torch-UNet"]], "Initializing Ivy UNet with Pretrained Weights \u2b07\ufe0f": [[5, "Initializing-Ivy-UNet-with-Pretrained-Weights-\u2b07\ufe0f"]], "Custom masking function": [[5, "Custom-masking-function"]], "Use the model to segment your images \ud83d\ude80": [[5, "Use-the-model-to-segment-your-images-\ud83d\ude80"]], "TensorFlow backend": [[5, "TensorFlow-backend"]], "JAX": [[5, "JAX"]], "Appendix: the Ivy native implementation of UNet": [[5, "Appendix:-the-Ivy-native-implementation-of-UNet"]], "Demo: Transpiling DeepMind\u2019s PerceiverIO": [[40, "Demo:-Transpiling-DeepMind's-PerceiverIO"]], "Table of Contents": [[40, "Table-of-Contents"]], "Defining the model": [[40, "Defining-the-model"]], "Model construction": [[40, "Model-construction"]], "Some helper functions": [[40, "Some-helper-functions"]], "Transpiling the model": [[40, "Transpiling-the-model"]], "PyTorch pipeline": [[40, "PyTorch-pipeline"]], "Dataset download": [[40, "Dataset-download"]], "DataLoader": [[40, "DataLoader"]], "Training": [[40, "Training"]], "Transpiling a haiku model to build on top": [[12, "Transpiling-a-haiku-model-to-build-on-top"]], "Lazy vs Eager": [[21, "Lazy-vs-Eager"]], "Trace": [[21, "Trace"], [22, "Trace"]], "Accelerating PyTorch models with JAX": [[8, "Accelerating-PyTorch-models-with-JAX"]], "Examples and Demos": [[2, "examples-and-demos"], [15, "examples-and-demos"]], "Trace code": [[19, "Trace-code"]], "Developing a convolutional network using Ivy": [[14, "Developing-a-convolutional-network-using-Ivy"]], "Transpiling a PyTorch model to build on top": [[11, "Transpiling-a-PyTorch-model-to-build-on-top"]], "1.1: Framework Selection": [[32, "1.1:-Framework-Selection"]], "Tutorials And Examples": [[15, "tutorials-and-examples"]], "Learn the basics": [[15, "learn-the-basics"], [16, "learn-the-basics"]], "Guides": [[15, "guides"], [10, "guides"]], "0.1: Compile": [[29, "0.1:-Compile"]], "Accelerating MMPreTrain models with JAX": [[6, "Accelerating-MMPreTrain-models-with-JAX"]], "Deepmind PerceiverIO on GPU": [[41, "Deepmind-PerceiverIO-on-GPU"]], "Install Python3.8 and setup the kernel": [[41, "Install-Python3.8-and-setup-the-kernel"]], "Clone the ivy and ivy-models repo": [[41, "Clone-the-ivy-and-ivy-models-repo"]], "Install ivy and ivy_models from the repos": [[41, "Install-ivy-and-ivy_models-from-the-repos"]], "Run the demo\u2026": [[41, "Run-the-demo..."]], "\u2026with torch backend": [[41, "...with-torch-backend"]], "\u2026.with tensorflow backend": [[41, "....with-tensorflow-backend"]], "\u2026with jax backend": [[41, "...with-jax-backend"]], "\u2026with numpy backend": [[41, "...with-numpy-backend"]], "Using Ivy ResNet": [[7, "Using-Ivy-ResNet"]], "Installation": [[7, "Installation"], [3, "Installation"]], "Prepare the set of labels": [[7, "Prepare-the-set-of-labels"]], "Model Inference ResNet34": [[7, "Model-Inference-ResNet34"]], "Initializing Native Torch ResNet34": [[7, "Initializing-Native-Torch-ResNet34"]], "Initializing Ivy ResNet34 with Pretrained Weights \u2b07\ufe0f": [[7, "Initializing-Ivy-ResNet34-with-Pretrained-Weights-\u2b07\ufe0f"]], "Use the model to classify your images \ud83d\ude80": [[7, "Use-the-model-to-classify-your-images-\ud83d\ude80"], [7, "id1"]], "Model Inference ResNet50": [[7, "Model-Inference-ResNet50"]], "Initializing Native Torch ResNet50": [[7, "Initializing-Native-Torch-ResNet50"]], "Initializing Ivy ResNet50 with Pretrained Weights \u2b07\ufe0f": [[7, "Initializing-Ivy-ResNet50-with-Pretrained-Weights-\u2b07\ufe0f"]], "Ivy AlexNet demo": [[3, "Ivy-AlexNet-demo"]], "Ivy AlexNet inference in Torch": [[3, "Ivy-AlexNet-inference-in-Torch"]], "TensorFlow inference": [[3, "TensorFlow-inference"]], "JAX inference": [[3, "JAX-inference"]], "Appendix (Ivy code for AlexNet implementation)": [[3, "Appendix-(Ivy-code-for-AlexNet-implementation)"]], "Transpile any library": [[23, "Transpile-any-library"]], "How to use decorators": [[22, "How-to-use-decorators"]], "Transpile code": [[20, "Transpile-code"]], "1.3: Dynamic vs Static": [[34, "1.3:-Dynamic-vs-Static"]], "Dynamic": [[34, "Dynamic"]], "Static": [[34, "Static"]], "ToDo: explain via examples why dynamic mode is set to True by default when transpiling to and from numpy and torch, but set to False by default when transpiling to and from tensorflow and jax.": [[34, "ToDo:-explain-via-examples-why-dynamic-mode-is-set-to-True-by-default-when-transpiling-to-and-from-numpy-and-torch,-but-set-to-False-by-default-when-transpiling-to-and-from-tensorflow-and-jax."]], "Write a model using Ivy": [[25, "Write-a-model-using-Ivy"]], "Unify code": [[18, "Unify-code"]], "ODSC Ivy Demo": [[26, "ODSC-Ivy-Demo"]], "Graph Tracer": [[26, "Graph-Tracer"]], "Any function": [[26, "Any-function"], [27, "Any-function"]], "Any library": [[26, "Any-library"], [27, "Any-library"]], "Any model": [[26, "Any-model"], [27, "Any-model"]], "Transpiling a Tensorflow model to build on top": [[13, "Transpiling-a-Tensorflow-model-to-build-on-top"]], "End-to-End Training Pipeline in Ivy": [[42, "End-to-End-Training-Pipeline-in-Ivy"]], "Importing libraries": [[42, "Importing-libraries"]], "Let\u2019s build the pipeline with a Tensorflow backend": [[42, "Let's-build-the-pipeline-with-a-Tensorflow-backend"]], "We are using MNIST dataset for this Tutorial": [[42, "We-are-using-MNIST-dataset-for-this-Tutorial"]], "Temporary Dataset and Dynamic loader": [[42, "Temporary-Dataset-and-Dynamic-loader"]], "Defining the Ivy Network": [[42, "Defining-the-Ivy-Network"]], "Training Loop with utility functions": [[42, "Training-Loop-with-utility-functions"]], "Plotting the training metrics": [[42, "Plotting-the-training-metrics"]], "Save the trained Model": [[42, "Save-the-trained-Model"]], "Demos": [[0, "demos"]], "Creating a Notebook for Demo": [[0, "creating-a-notebook-for-demo"]], "3.0: Perceiver": [[36, "3.0:-Perceiver"]], "2.0: Kornia": [[35, "2.0:-Kornia"]], "Accelerating XGBoost with JAX": [[9, "Accelerating-XGBoost-with-JAX"]], "Tests": [[9, "Tests"]], "Loading the Data": [[9, "Loading-the-Data"]], "Comparing xgb_frontend.XGBClassifier and xgb.XGBClassifier": [[9, "Comparing-xgb_frontend.XGBClassifier-and-xgb.XGBClassifier"]], "JAX backend": [[9, "JAX-backend"]], "Tensorflow backend": [[9, "Tensorflow-backend"]], "PyTorch backend": [[9, "PyTorch-backend"]], "More exhaustive example": [[9, "More-exhaustive-example"]], "Evaluating Training Time vs. Number of Boosting Rounds": [[9, "Evaluating-Training-Time-vs.-Number-of-Boosting-Rounds"]], "Training Time vs. Fractions of Data": [[9, "Training-Time-vs.-Fractions-of-Data"]], "Comparison of Metrics": [[9, "Comparison-of-Metrics"]], "# Ivy Bert Demo": [[4, "#-Ivy-Bert-Demo"]], "Install the dependecies": [[4, "Install-the-dependecies"]], "Import the modules": [[4, "Import-the-modules"]], "Ivy inference with Sequence Classification": [[4, "Ivy-inference-with-Sequence-Classification"]], "Ivy model inference with tensorflow": [[4, "Ivy-model-inference-with-tensorflow"]], "Ivy model inference with Jax": [[4, "Ivy-model-inference-with-Jax"]], "Ivy model inference with torch": [[4, "Ivy-model-inference-with-torch"]], "Compilation of a Basic Function": [[39, "Compilation-of-a-Basic-Function"]], "Import Ivy compiler": [[39, "Import-Ivy-compiler"]], "Function compilation \ud83d\udee0": [[39, "Function-compilation-\ud83d\udee0"]], "Set backend": [[39, "Set-backend"]], "Sample input": [[39, "Sample-input"]], "Define function to compile": [[39, "Define-function-to-compile"]], "Compile the function": [[39, "Compile-the-function"]], "Check results": [[39, "Check-results"], [39, "id1"]], "Compiling simple neural network \ud83e\udde0": [[39, "Compiling-simple-neural-network-\ud83e\udde0"]], "Create model": [[39, "Create-model"]], "Define input": [[39, "Define-input"]], "Compile network": [[39, "Compile-network"]], "Ivy as a Transpiler Introduction": [[44, "Ivy-as-a-Transpiler-Introduction"]], "To use the transpiler:": [[44, "To-use-the-transpiler:"]], "Transpiler Interface": [[44, "Transpiler-Interface"]], "Telemetry": [[44, "Telemetry"]], "1. Transpile Functions \ud83d\udd22": [[44, "1.-Transpile-Functions-\ud83d\udd22"]], "2. Transpile Libraries \ud83d\udcda": [[44, "2.-Transpile-Libraries-\ud83d\udcda"]], "3. Transpile Models \ud83c\udf10": [[44, "3.-Transpile-Models-\ud83c\udf10"]], "Quickstart": [[27, "Quickstart"]], "Get familiar with Ivy": [[27, "Get-familiar-with-Ivy"]], "Functional API": [[27, "Functional-API"]], "Stateful API": [[27, "Stateful-API"]], "Tracing code": [[27, "Tracing-code"]], "TO REPLACE: Title": [[1, "TO-REPLACE:-Title"]]}, "indexentries": {"_arraywithactivations (class in ivy.data_classes.array.activations)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations"]], "_abc_impl (ivy.data_classes.array.activations._arraywithactivations attribute)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations._abc_impl"]], "gelu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.gelu"]], "hardswish() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.hardswish"]], "ivy.data_classes.array.activations": [[46, "module-ivy.data_classes.array.activations"]], "leaky_relu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.leaky_relu"]], "log_softmax() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.log_softmax"]], "mish() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.mish"]], "module": [[46, "module-ivy.data_classes.array.activations"], [47, "module-ivy.data_classes.array.conversions"], [48, "module-ivy.data_classes.array.creation"], [49, "module-ivy.data_classes.array.data_type"], [50, "module-ivy.data_classes.array.device"], [51, "module-ivy.data_classes.array.elementwise"], [52, "module-ivy.data_classes.array.experimental"], [52, "module-ivy.data_classes.array.experimental.activations"], [52, "module-ivy.data_classes.array.experimental.conversions"], [52, "module-ivy.data_classes.array.experimental.creation"], [52, "module-ivy.data_classes.array.experimental.data_type"], [52, "module-ivy.data_classes.array.experimental.device"], [52, "module-ivy.data_classes.array.experimental.elementwise"], [52, "module-ivy.data_classes.array.experimental.general"], [52, "module-ivy.data_classes.array.experimental.gradients"], [52, "module-ivy.data_classes.array.experimental.image"], [52, "module-ivy.data_classes.array.experimental.layers"], [52, "module-ivy.data_classes.array.experimental.linear_algebra"], [52, "module-ivy.data_classes.array.experimental.losses"], [52, "module-ivy.data_classes.array.experimental.manipulation"], [52, "module-ivy.data_classes.array.experimental.norms"], [52, "module-ivy.data_classes.array.experimental.random"], [52, "module-ivy.data_classes.array.experimental.searching"], [52, "module-ivy.data_classes.array.experimental.set"], [52, "module-ivy.data_classes.array.experimental.sorting"], [52, "module-ivy.data_classes.array.experimental.statistical"], [52, "module-ivy.data_classes.array.experimental.utility"], [53, "module-ivy.data_classes.array.general"], [54, "module-ivy.data_classes.array.gradients"], [55, "module-ivy.data_classes.array.image"], [56, "module-ivy.data_classes.array.layers"], [57, "module-ivy.data_classes.array.linear_algebra"], [58, "module-ivy.data_classes.array.losses"], [59, "module-ivy.data_classes.array.manipulation"], [60, "module-ivy.data_classes.array.norms"], [61, "module-ivy.data_classes.array.random"], [62, "module-ivy.data_classes.array.searching"], [63, "module-ivy.data_classes.array.set"], [64, "module-ivy.data_classes.array.sorting"], [65, "module-ivy.data_classes.array.statistical"], [66, "module-ivy.data_classes.array.utility"], [67, "module-ivy.data_classes.array.wrapping"], [68, "module-ivy.data_classes.container.activations"], [69, "module-ivy.data_classes.container.base"], [70, "module-ivy.data_classes.container.conversions"], [71, "module-ivy.data_classes.container.creation"], [72, "module-ivy.data_classes.container.data_type"], [73, "module-ivy.data_classes.container.device"], [74, "module-ivy.data_classes.container.elementwise"], [75, "module-ivy.data_classes.container.experimental"], [75, "module-ivy.data_classes.container.experimental.activations"], [75, "module-ivy.data_classes.container.experimental.conversions"], [75, "module-ivy.data_classes.container.experimental.creation"], [75, "module-ivy.data_classes.container.experimental.data_type"], [75, "module-ivy.data_classes.container.experimental.device"], [75, "module-ivy.data_classes.container.experimental.elementwise"], [75, "module-ivy.data_classes.container.experimental.general"], [75, "module-ivy.data_classes.container.experimental.gradients"], [75, "module-ivy.data_classes.container.experimental.image"], [75, "module-ivy.data_classes.container.experimental.layers"], [75, "module-ivy.data_classes.container.experimental.linear_algebra"], [75, "module-ivy.data_classes.container.experimental.losses"], [75, "module-ivy.data_classes.container.experimental.manipulation"], [75, "module-ivy.data_classes.container.experimental.norms"], [75, "module-ivy.data_classes.container.experimental.random"], [75, "module-ivy.data_classes.container.experimental.searching"], [75, "module-ivy.data_classes.container.experimental.set"], [75, "module-ivy.data_classes.container.experimental.sorting"], [75, "module-ivy.data_classes.container.experimental.statistical"], [75, "module-ivy.data_classes.container.experimental.utility"], [76, "module-ivy.data_classes.container.general"], [77, "module-ivy.data_classes.container.gradients"], [78, "module-ivy.data_classes.container.image"], [79, "module-ivy.data_classes.container.layers"], [80, "module-ivy.data_classes.container.linear_algebra"], [81, "module-ivy.data_classes.container.losses"], [82, "module-ivy.data_classes.container.manipulation"], [83, "module-ivy.data_classes.container.norms"], [84, "module-ivy.data_classes.container.random"], [85, "module-ivy.data_classes.container.searching"], [86, "module-ivy.data_classes.container.set"], [87, "module-ivy.data_classes.container.sorting"], [88, "module-ivy.data_classes.container.statistical"], [89, "module-ivy.data_classes.container.utility"], [90, "module-ivy.data_classes.container.wrapping"], [91, "module-ivy.data_classes.factorized_tensor.base"], [92, "module-ivy.data_classes.factorized_tensor.cp_tensor"], [93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"], [94, "module-ivy.data_classes.factorized_tensor.tr_tensor"], [95, "module-ivy.data_classes.factorized_tensor.tt_tensor"], [96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"], [97, "module-ivy.data_classes.array.array"], [98, "module-ivy.data_classes.container.container"], [100, "module-ivy.data_classes.nested_array.nested_array"], [101, "module-ivy.data_classes.nested_array.base"], [102, "module-ivy.data_classes.nested_array.elementwise"], [360, "module-ivy.functional.ivy.experimental.activations"], [361, "module-ivy.functional.ivy.experimental.constants"], [362, "module-ivy.functional.ivy.experimental.creation"], [363, "module-ivy.functional.ivy.experimental.data_type"], [364, "module-ivy.functional.ivy.experimental.device"], [365, "module-ivy.functional.ivy.experimental.elementwise"], [366, "module-ivy.functional.ivy.experimental.general"], [367, "module-ivy.functional.ivy.experimental.gradients"], [368, "module-ivy.functional.ivy.experimental.layers"], [369, "module-ivy.functional.ivy.experimental.linear_algebra"], [370, "module-ivy.functional.ivy.experimental.losses"], [371, "module-ivy.functional.ivy.experimental.manipulation"], [372, "module-ivy.functional.ivy.experimental.meta"], [373, "module-ivy.functional.ivy.experimental.nest"], [374, "module-ivy.functional.ivy.experimental.norms"], [375, "module-ivy.functional.ivy.experimental.random"], [376, "module-ivy.functional.ivy.experimental.searching"], [377, "module-ivy.functional.ivy.experimental.set"], [378, "module-ivy.functional.ivy.experimental.sorting"], [379, "module-ivy.functional.ivy.experimental.sparse_array"], [380, "module-ivy.functional.ivy.experimental.statistical"], [381, "module-ivy.functional.ivy.experimental.utility"], [613, "module-ivy.functional.ivy.activations"], [614, "module-ivy.functional.ivy.constants"], [615, "module-ivy.functional.ivy.control_flow_ops"], [616, "module-ivy.functional.ivy.creation"], [617, "module-ivy.functional.ivy.data_type"], [618, "module-ivy.functional.ivy.device"], [619, "module-ivy.functional.ivy.elementwise"], [620, "module-ivy.functional.ivy.experimental"], [621, "module-ivy.functional.ivy.general"], [622, "module-ivy.functional.ivy.gradients"], [623, "module-ivy.functional.ivy.layers"], [624, "module-ivy.functional.ivy.linear_algebra"], [625, "module-ivy.functional.ivy.losses"], [626, "module-ivy.functional.ivy.manipulation"], [627, "module-ivy.functional.ivy.meta"], [628, "module-ivy.functional.ivy.nest"], [629, "module-ivy.functional.ivy.norms"], [630, "module-ivy.functional.ivy.random"], [631, "module-ivy.functional.ivy.searching"], [632, "module-ivy.functional.ivy.set"], [633, "module-ivy.functional.ivy.sorting"], [634, "module-ivy.functional.ivy.statistical"], [635, "module-ivy.functional.ivy.utility"], [758, "module-ivy_tests.test_ivy.helpers.assertions"], [759, "module-ivy_tests.test_ivy.helpers.available_frameworks"], [760, "module-ivy_tests.test_ivy.helpers.function_testing"], [761, "module-ivy_tests.test_ivy.helpers.globals"], [762, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers"], [763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"], [764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"], [765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"], [766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"], [767, "module-ivy_tests.test_ivy.helpers.multiprocessing"], [768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"], [769, "module-ivy_tests.test_ivy.helpers.structs"], [770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"], [771, "module-ivy_tests.test_ivy.helpers.testing_helpers"], [775, "module-ivy.stateful.activations"], [776, "module-ivy.stateful.converters"], [777, "module-ivy.stateful.helpers"], [778, "module-ivy.stateful.initializers"], [779, "module-ivy.stateful.layers"], [780, "module-ivy.stateful.losses"], [781, "module-ivy.stateful.module"], [782, "module-ivy.stateful.norms"], [783, "module-ivy.stateful.optimizers"], [784, "module-ivy.stateful.sequential"], [785, "module-ivy.utils.assertions"], [786, "module-ivy.utils.backend"], [787, "module-ivy.utils.backend.ast_helpers"], [788, "module-ivy.utils.backend.handler"], [789, "module-ivy.utils.backend.sub_backend_handler"], [790, "module-ivy.utils.binaries"], [791, "module-ivy.utils.dynamic_import"], [792, "module-ivy.utils.einsum_parser"], [793, "module-ivy.utils.einsum_path_helpers"], [794, "module-ivy.utils.exceptions"], [795, "module-ivy.utils.inspection"], [796, "module-ivy.utils.logging"], [797, "module-ivy.utils.profiler"], [798, "module-ivy.utils.verbosity"]], "relu() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.relu"]], "sigmoid() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.sigmoid"]], "softmax() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.softmax"]], "softplus() (ivy.data_classes.array.activations._arraywithactivations method)": [[46, "ivy.data_classes.array.activations._ArrayWithActivations.softplus"]], "_array_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._array_to_new_backend"]], "_to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_ivy"]], "_to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_native"]], "_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions._to_new_backend"]], "args_to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_ivy"]], "args_to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_native"]], "args_to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.args_to_new_backend"]], "ivy.data_classes.array.conversions": [[47, "module-ivy.data_classes.array.conversions"]], "to_ivy() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_ivy"]], "to_native() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_native"]], "to_new_backend() (in module ivy.data_classes.array.conversions)": [[47, "ivy.data_classes.array.conversions.to_new_backend"]], "_arraywithcreation (class in ivy.data_classes.array.creation)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation"]], "_abc_impl (ivy.data_classes.array.creation._arraywithcreation attribute)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation._abc_impl"]], "asarray() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.asarray"]], "copy_array() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.copy_array"]], "empty_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.empty_like"]], "from_dlpack() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.from_dlpack"]], "full_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.full_like"]], "ivy.data_classes.array.creation": [[48, "module-ivy.data_classes.array.creation"]], "linspace() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.linspace"]], "logspace() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.logspace"]], "meshgrid() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.meshgrid"]], "native_array() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.native_array"]], "one_hot() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.one_hot"]], "ones_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.ones_like"]], "tril() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.tril"]], "triu() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.triu"]], "zeros_like() (ivy.data_classes.array.creation._arraywithcreation method)": [[48, "ivy.data_classes.array.creation._ArrayWithCreation.zeros_like"]], "_arraywithdatatypes (class in ivy.data_classes.array.data_type)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes"]], "_abc_impl (ivy.data_classes.array.data_type._arraywithdatatypes attribute)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes._abc_impl"]], "astype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.astype"]], "broadcast_arrays() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.broadcast_arrays"]], "broadcast_to() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.broadcast_to"]], "can_cast() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.can_cast"]], "dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.dtype"]], "finfo() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.finfo"]], "iinfo() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.iinfo"]], "is_bool_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_bool_dtype"]], "is_float_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_float_dtype"]], "is_int_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_int_dtype"]], "is_uint_dtype() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.is_uint_dtype"]], "ivy.data_classes.array.data_type": [[49, "module-ivy.data_classes.array.data_type"]], "result_type() (ivy.data_classes.array.data_type._arraywithdatatypes method)": [[49, "ivy.data_classes.array.data_type._ArrayWithDataTypes.result_type"]], "_arraywithdevice (class in ivy.data_classes.array.device)": [[50, "ivy.data_classes.array.device._ArrayWithDevice"]], "_abc_impl (ivy.data_classes.array.device._arraywithdevice attribute)": [[50, "ivy.data_classes.array.device._ArrayWithDevice._abc_impl"]], "dev() (ivy.data_classes.array.device._arraywithdevice method)": [[50, "ivy.data_classes.array.device._ArrayWithDevice.dev"]], "ivy.data_classes.array.device": [[50, "module-ivy.data_classes.array.device"]], "to_device() (ivy.data_classes.array.device._arraywithdevice method)": [[50, "ivy.data_classes.array.device._ArrayWithDevice.to_device"]], "_arraywithelementwise (class in ivy.data_classes.array.elementwise)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise"]], "_abc_impl (ivy.data_classes.array.elementwise._arraywithelementwise attribute)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise._abc_impl"]], "abs() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.abs"]], "acos() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.acos"]], "acosh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.acosh"]], "add() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.add"]], "angle() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.angle"]], "asin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.asin"]], "asinh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.asinh"]], "atan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atan"]], "atan2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atan2"]], "atanh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.atanh"]], "bitwise_and() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_and"]], "bitwise_invert() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_invert"]], "bitwise_left_shift() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_left_shift"]], "bitwise_or() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_or"]], "bitwise_right_shift() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_right_shift"]], "bitwise_xor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.bitwise_xor"]], "ceil() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.ceil"]], "cos() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.cos"]], "cosh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.cosh"]], "deg2rad() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.deg2rad"]], "divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.divide"]], "equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.equal"]], "erf() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.erf"]], "exp() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.exp"]], "exp2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.exp2"]], "expm1() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.expm1"]], "floor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.floor"]], "floor_divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.floor_divide"]], "fmin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.fmin"]], "gcd() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.gcd"]], "greater() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.greater"]], "greater_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.greater_equal"]], "imag() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.imag"]], "isfinite() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isfinite"]], "isinf() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isinf"]], "isnan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isnan"]], "isreal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.isreal"]], "ivy.data_classes.array.elementwise": [[51, "module-ivy.data_classes.array.elementwise"]], "lcm() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.lcm"]], "less() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.less"]], "less_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.less_equal"]], "log() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log"]], "log10() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log10"]], "log1p() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log1p"]], "log2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.log2"]], "logaddexp() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logaddexp"]], "logaddexp2() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logaddexp2"]], "logical_and() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_and"]], "logical_not() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_not"]], "logical_or() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_or"]], "logical_xor() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.logical_xor"]], "maximum() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.maximum"]], "minimum() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.minimum"]], "multiply() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.multiply"]], "nan_to_num() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.nan_to_num"]], "negative() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.negative"]], "not_equal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.not_equal"]], "positive() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.positive"]], "pow() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.pow"]], "rad2deg() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.rad2deg"]], "real() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.real"]], "reciprocal() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.reciprocal"]], "remainder() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.remainder"]], "round() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.round"]], "sign() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sign"]], "sin() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sin"]], "sinh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sinh"]], "sqrt() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.sqrt"]], "square() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.square"]], "subtract() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.subtract"]], "tan() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.tan"]], "tanh() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.tanh"]], "trapz() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trapz"]], "trunc() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trunc"]], "trunc_divide() (ivy.data_classes.array.elementwise._arraywithelementwise method)": [[51, "ivy.data_classes.array.elementwise._ArrayWithElementwise.trunc_divide"]], "_arraywithactivationsexperimental (class in ivy.data_classes.array.experimental.activations)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental"]], "_arraywithconversionsexperimental (class in ivy.data_classes.array.experimental.conversions)": [[52, "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental"]], "_arraywithcreationexperimental (class in ivy.data_classes.array.experimental.creation)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental"]], "_arraywithdata_typeexperimental (class in ivy.data_classes.array.experimental.data_type)": [[52, "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental"]], "_arraywithdeviceexperimental (class in ivy.data_classes.array.experimental.device)": [[52, "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental"]], "_arraywithelementwiseexperimental (class in ivy.data_classes.array.experimental.elementwise)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental"]], "_arraywithgeneralexperimental (class in ivy.data_classes.array.experimental.general)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental"]], "_arraywithgradientsexperimental (class in ivy.data_classes.array.experimental.gradients)": [[52, "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental"]], "_arraywithimageexperimental (class in ivy.data_classes.array.experimental.image)": [[52, "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental"]], "_arraywithlayersexperimental (class in ivy.data_classes.array.experimental.layers)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental"]], "_arraywithlinearalgebraexperimental (class in ivy.data_classes.array.experimental.linear_algebra)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental"]], "_arraywithlossesexperimental (class in ivy.data_classes.array.experimental.losses)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental"]], "_arraywithmanipulationexperimental (class in ivy.data_classes.array.experimental.manipulation)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental"]], "_arraywithnormsexperimental (class in ivy.data_classes.array.experimental.norms)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental"]], "_arraywithrandomexperimental (class in ivy.data_classes.array.experimental.random)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental"]], "_arraywithsearchingexperimental (class in ivy.data_classes.array.experimental.searching)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental"]], "_arraywithsetexperimental (class in ivy.data_classes.array.experimental.set)": [[52, "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental"]], "_arraywithsortingexperimental (class in ivy.data_classes.array.experimental.sorting)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental"]], "_arraywithstatisticalexperimental (class in ivy.data_classes.array.experimental.statistical)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental"]], "_arraywithutilityexperimental (class in ivy.data_classes.array.experimental.utility)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental"]], "_abc_impl (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.conversions._arraywithconversionsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.conversions._ArrayWithConversionsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental attribute)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.data_type._arraywithdata_typeexperimental attribute)": [[52, "ivy.data_classes.array.experimental.data_type._ArrayWithData_typeExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.device._arraywithdeviceexperimental attribute)": [[52, "ivy.data_classes.array.experimental.device._ArrayWithDeviceExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental attribute)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.general._arraywithgeneralexperimental attribute)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.gradients._arraywithgradientsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.gradients._ArrayWithGradientsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.image._arraywithimageexperimental attribute)": [[52, "ivy.data_classes.array.experimental.image._ArrayWithImageExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental attribute)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental attribute)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental attribute)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental attribute)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental attribute)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.random._arraywithrandomexperimental attribute)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.searching._arraywithsearchingexperimental attribute)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.set._arraywithsetexperimental attribute)": [[52, "ivy.data_classes.array.experimental.set._ArrayWithSetExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.sorting._arraywithsortingexperimental attribute)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental attribute)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.array.experimental.utility._arraywithutilityexperimental attribute)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental._abc_impl"]], "adaptive_avg_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.adaptive_max_pool2d"]], "adjoint() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.adjoint"]], "allclose() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.allclose"]], "amax() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.amax"]], "amin() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.amin"]], "as_strided() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.as_strided"]], "associative_scan() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.associative_scan"]], "atleast_1d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_1d"]], "atleast_2d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_2d"]], "atleast_3d() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.atleast_3d"]], "avg_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool1d"]], "avg_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool2d"]], "avg_pool3d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.avg_pool3d"]], "batch_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.batch_norm"]], "batched_outer() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.batched_outer"]], "bernoulli() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.bernoulli"]], "beta() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.beta"]], "binarizer() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.binarizer"]], "bincount() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.bincount"]], "blackman_window() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.blackman_window"]], "celu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.celu"]], "column_stack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.column_stack"]], "concat_from_sequence() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.concat_from_sequence"]], "cond() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.cond"]], "conj() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.conj"]], "copysign() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.copysign"]], "corrcoef() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.corrcoef"]], "count_nonzero() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.count_nonzero"]], "cov() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cov"]], "cummax() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cummax"]], "cummin() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.cummin"]], "dct() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.dct"]], "dft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.dft"]], "diagflat() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.diagflat"]], "diff() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.diff"]], "digamma() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.digamma"]], "dirichlet() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.dirichlet"]], "dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.dot"]], "dsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.dsplit"]], "dstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.dstack"]], "eig() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eig"]], "eigh_tridiagonal() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eigh_tridiagonal"]], "eigvals() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.eigvals"]], "elu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.elu"]], "embedding() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.embedding"]], "erfc() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.erfc"]], "expand() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.expand"]], "eye_like() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.eye_like"]], "fft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.fft"]], "fft2() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.fft2"]], "fill_diagonal() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fill_diagonal"]], "fix() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fix"]], "flatten() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.flatten"]], "fliplr() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fliplr"]], "flipud() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.flipud"]], "float_power() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.float_power"]], "fmax() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fmax"]], "fmod() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.fmod"]], "fold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.fold"]], "frexp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.frexp"]], "gamma() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.gamma"]], "general_inner_product() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.general_inner_product"]], "gradient() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.gradient"]], "group_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.group_norm"]], "hardshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.hardshrink"]], "hardtanh() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.hardtanh"]], "heaviside() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.heaviside"]], "higher_order_moment() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.higher_order_moment"]], "histogram() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.histogram"]], "hsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.hsplit"]], "hstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.hstack"]], "huber_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.huber_loss"]], "hypot() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.hypot"]], "i0() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.i0"]], "idct() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.idct"]], "ifft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.ifft"]], "ifftn() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.ifftn"]], "igamma() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.igamma"]], "initialize_tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.initialize_tucker"]], "instance_norm() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.instance_norm"]], "interpolate() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.interpolate"]], "isclose() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.isclose"]], "ivy.data_classes.array.experimental": [[52, "module-ivy.data_classes.array.experimental"]], "ivy.data_classes.array.experimental.activations": [[52, "module-ivy.data_classes.array.experimental.activations"]], "ivy.data_classes.array.experimental.conversions": [[52, "module-ivy.data_classes.array.experimental.conversions"]], "ivy.data_classes.array.experimental.creation": [[52, "module-ivy.data_classes.array.experimental.creation"]], "ivy.data_classes.array.experimental.data_type": [[52, "module-ivy.data_classes.array.experimental.data_type"]], "ivy.data_classes.array.experimental.device": [[52, "module-ivy.data_classes.array.experimental.device"]], "ivy.data_classes.array.experimental.elementwise": [[52, "module-ivy.data_classes.array.experimental.elementwise"]], "ivy.data_classes.array.experimental.general": [[52, "module-ivy.data_classes.array.experimental.general"]], "ivy.data_classes.array.experimental.gradients": [[52, "module-ivy.data_classes.array.experimental.gradients"]], "ivy.data_classes.array.experimental.image": [[52, "module-ivy.data_classes.array.experimental.image"]], "ivy.data_classes.array.experimental.layers": [[52, "module-ivy.data_classes.array.experimental.layers"]], "ivy.data_classes.array.experimental.linear_algebra": [[52, "module-ivy.data_classes.array.experimental.linear_algebra"]], "ivy.data_classes.array.experimental.losses": [[52, "module-ivy.data_classes.array.experimental.losses"]], "ivy.data_classes.array.experimental.manipulation": [[52, "module-ivy.data_classes.array.experimental.manipulation"]], "ivy.data_classes.array.experimental.norms": [[52, "module-ivy.data_classes.array.experimental.norms"]], "ivy.data_classes.array.experimental.random": [[52, "module-ivy.data_classes.array.experimental.random"]], "ivy.data_classes.array.experimental.searching": [[52, "module-ivy.data_classes.array.experimental.searching"]], "ivy.data_classes.array.experimental.set": [[52, "module-ivy.data_classes.array.experimental.set"]], "ivy.data_classes.array.experimental.sorting": [[52, "module-ivy.data_classes.array.experimental.sorting"]], "ivy.data_classes.array.experimental.statistical": [[52, "module-ivy.data_classes.array.experimental.statistical"]], "ivy.data_classes.array.experimental.utility": [[52, "module-ivy.data_classes.array.experimental.utility"]], "kl_div() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.kl_div"]], "kron() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.kron"]], "l1_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.l1_loss"]], "l1_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.l1_normalize"]], "l2_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.l2_normalize"]], "ldexp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.ldexp"]], "lerp() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.lerp"]], "lexsort() (ivy.data_classes.array.experimental.sorting._arraywithsortingexperimental method)": [[52, "ivy.data_classes.array.experimental.sorting._ArrayWithSortingExperimental.lexsort"]], "lgamma() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.lgamma"]], "log_poisson_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.log_poisson_loss"]], "logit() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.logit"]], "logsigmoid() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.logsigmoid"]], "lp_normalize() (ivy.data_classes.array.experimental.norms._arraywithnormsexperimental method)": [[52, "ivy.data_classes.array.experimental.norms._ArrayWithNormsExperimental.lp_normalize"]], "make_svd_non_negative() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.make_svd_non_negative"]], "matricize() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.matricize"]], "matrix_exp() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.matrix_exp"]], "max_pool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool1d"]], "max_pool2d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool2d"]], "max_pool3d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_pool3d"]], "max_unpool1d() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.max_unpool1d"]], "median() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.median"]], "mel_weight_matrix() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental static method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.mel_weight_matrix"]], "mode_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.mode_dot"]], "modf() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.modf"]], "moveaxis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.moveaxis"]], "multi_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.multi_dot"]], "multi_mode_dot() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.multi_mode_dot"]], "nanmean() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmean"]], "nanmedian() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmedian"]], "nanmin() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanmin"]], "nanprod() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.nanprod"]], "nansum() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.nansum"]], "nextafter() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.nextafter"]], "optional_get_element() (ivy.data_classes.array.experimental.utility._arraywithutilityexperimental method)": [[52, "ivy.data_classes.array.experimental.utility._ArrayWithUtilityExperimental.optional_get_element"]], "pad() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.pad"]], "partial_fold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_fold"]], "partial_tensor_to_vec() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_tensor_to_vec"]], "partial_tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.partial_tucker"]], "partial_unfold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_unfold"]], "partial_vec_to_tensor() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.partial_vec_to_tensor"]], "poisson() (ivy.data_classes.array.experimental.random._arraywithrandomexperimental method)": [[52, "ivy.data_classes.array.experimental.random._ArrayWithRandomExperimental.poisson"]], "poisson_nll_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.poisson_nll_loss"]], "polyval() (in module ivy.data_classes.array.experimental.creation)": [[52, "ivy.data_classes.array.experimental.creation.polyval"]], "prelu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.prelu"]], "put_along_axis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.put_along_axis"]], "quantile() (ivy.data_classes.array.experimental.statistical._arraywithstatisticalexperimental method)": [[52, "ivy.data_classes.array.experimental.statistical._ArrayWithStatisticalExperimental.quantile"]], "reduce() (ivy.data_classes.array.experimental.general._arraywithgeneralexperimental method)": [[52, "ivy.data_classes.array.experimental.general._ArrayWithGeneralExperimental.reduce"]], "reduce_window() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.reduce_window"]], "relu6() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.relu6"]], "rfft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.rfft"]], "rfftn() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.rfftn"]], "rot90() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.rot90"]], "scaled_tanh() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.scaled_tanh"]], "selu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.selu"]], "signbit() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.signbit"]], "silu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.silu"]], "sinc() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.sinc"]], "sliding_window() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.sliding_window"]], "smooth_l1_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.smooth_l1_loss"]], "soft_margin_loss() (ivy.data_classes.array.experimental.losses._arraywithlossesexperimental method)": [[52, "ivy.data_classes.array.experimental.losses._ArrayWithLossesExperimental.soft_margin_loss"]], "soft_thresholding() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.soft_thresholding"]], "softshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.softshrink"]], "sparsify_tensor() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.sparsify_tensor"]], "stft() (ivy.data_classes.array.experimental.layers._arraywithlayersexperimental method)": [[52, "ivy.data_classes.array.experimental.layers._ArrayWithLayersExperimental.stft"]], "svd_flip() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.svd_flip"]], "take() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.take"]], "take_along_axis() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.take_along_axis"]], "tanhshrink() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.tanhshrink"]], "tensor_train() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tensor_train"]], "threshold() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.threshold"]], "thresholded_relu() (ivy.data_classes.array.experimental.activations._arraywithactivationsexperimental method)": [[52, "ivy.data_classes.array.experimental.activations._ArrayWithActivationsExperimental.thresholded_relu"]], "top_k() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.top_k"]], "trilu() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.trilu"]], "trim_zeros() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.trim_zeros"]], "truncated_svd() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.truncated_svd"]], "tt_matrix_to_tensor() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tt_matrix_to_tensor"]], "tucker() (ivy.data_classes.array.experimental.linear_algebra._arraywithlinearalgebraexperimental method)": [[52, "ivy.data_classes.array.experimental.linear_algebra._ArrayWithLinearAlgebraExperimental.tucker"]], "unfold() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.unfold"]], "unique_consecutive() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.unique_consecutive"]], "unravel_index() (ivy.data_classes.array.experimental.searching._arraywithsearchingexperimental method)": [[52, "ivy.data_classes.array.experimental.searching._ArrayWithSearchingExperimental.unravel_index"]], "unsorted_segment_mean() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_mean"]], "unsorted_segment_min() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_min"]], "unsorted_segment_sum() (ivy.data_classes.array.experimental.creation._arraywithcreationexperimental method)": [[52, "ivy.data_classes.array.experimental.creation._ArrayWithCreationExperimental.unsorted_segment_sum"]], "vsplit() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.vsplit"]], "vstack() (ivy.data_classes.array.experimental.manipulation._arraywithmanipulationexperimental method)": [[52, "ivy.data_classes.array.experimental.manipulation._ArrayWithManipulationExperimental.vstack"]], "xlogy() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.xlogy"]], "zeta() (ivy.data_classes.array.experimental.elementwise._arraywithelementwiseexperimental method)": [[52, "ivy.data_classes.array.experimental.elementwise._ArrayWithElementWiseExperimental.zeta"]], "_arraywithgeneral (class in ivy.data_classes.array.general)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral"]], "_abc_impl (ivy.data_classes.array.general._arraywithgeneral attribute)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral._abc_impl"]], "all_equal() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.all_equal"]], "array_equal() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.array_equal"]], "assert_supports_inplace() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.assert_supports_inplace"]], "clip_matrix_norm() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.clip_matrix_norm"]], "clip_vector_norm() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.clip_vector_norm"]], "default() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.default"]], "einops_rearrange() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_rearrange"]], "einops_reduce() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_reduce"]], "einops_repeat() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.einops_repeat"]], "exists() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.exists"]], "fourier_encode() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.fourier_encode"]], "gather() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.gather"]], "gather_nd() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.gather_nd"]], "get_num_dims() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.get_num_dims"]], "has_nans() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.has_nans"]], "inplace_decrement() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_decrement"]], "inplace_increment() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_increment"]], "inplace_update() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.inplace_update"]], "is_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_array"]], "is_ivy_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_ivy_array"]], "is_ivy_container() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_ivy_container"]], "is_native_array() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.is_native_array"]], "isin() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.isin"]], "ivy.data_classes.array.general": [[53, "module-ivy.data_classes.array.general"]], "scatter_flat() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.scatter_flat"]], "scatter_nd() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.scatter_nd"]], "stable_divide() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.stable_divide"]], "stable_pow() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.stable_pow"]], "supports_inplace_updates() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.supports_inplace_updates"]], "to_file() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_file"]], "to_list() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_list"]], "to_numpy() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_numpy"]], "to_scalar() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.to_scalar"]], "value_is_nan() (ivy.data_classes.array.general._arraywithgeneral method)": [[53, "ivy.data_classes.array.general._ArrayWithGeneral.value_is_nan"]], "_arraywithgradients (class in ivy.data_classes.array.gradients)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients"]], "_abc_impl (ivy.data_classes.array.gradients._arraywithgradients attribute)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients._abc_impl"]], "adam_step() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.adam_step"]], "adam_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.adam_update"]], "gradient_descent_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.gradient_descent_update"]], "ivy.data_classes.array.gradients": [[54, "module-ivy.data_classes.array.gradients"]], "lamb_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.lamb_update"]], "lars_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.lars_update"]], "optimizer_update() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.optimizer_update"]], "stop_gradient() (ivy.data_classes.array.gradients._arraywithgradients method)": [[54, "ivy.data_classes.array.gradients._ArrayWithGradients.stop_gradient"]], "_arraywithimage (class in ivy.data_classes.array.image)": [[55, "ivy.data_classes.array.image._ArrayWithImage"]], "_abc_impl (ivy.data_classes.array.image._arraywithimage attribute)": [[55, "ivy.data_classes.array.image._ArrayWithImage._abc_impl"]], "ivy.data_classes.array.image": [[55, "module-ivy.data_classes.array.image"]], "_arraywithlayers (class in ivy.data_classes.array.layers)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers"]], "_abc_impl (ivy.data_classes.array.layers._arraywithlayers attribute)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers._abc_impl"]], "conv1d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv1d"]], "conv1d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv1d_transpose"]], "conv2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv2d"]], "conv2d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv2d_transpose"]], "conv3d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv3d"]], "conv3d_transpose() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.conv3d_transpose"]], "depthwise_conv2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.depthwise_conv2d"]], "dropout() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout"]], "dropout1d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout1d"]], "dropout2d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout2d"]], "dropout3d() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.dropout3d"]], "ivy.data_classes.array.layers": [[56, "module-ivy.data_classes.array.layers"]], "linear() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.linear"]], "lstm_update() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.lstm_update"]], "multi_head_attention() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.multi_head_attention"]], "scaled_dot_product_attention() (ivy.data_classes.array.layers._arraywithlayers method)": [[56, "ivy.data_classes.array.layers._ArrayWithLayers.scaled_dot_product_attention"]], "_arraywithlinearalgebra (class in ivy.data_classes.array.linear_algebra)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra"]], "_abc_impl (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra attribute)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra._abc_impl"]], "cholesky() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.cholesky"]], "cross() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.cross"]], "det() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.det"]], "diag() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.diag"]], "diagonal() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.diagonal"]], "eig() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eig"]], "eigh() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eigh"]], "eigvalsh() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.eigvalsh"]], "inner() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.inner"]], "inv() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.inv"]], "ivy.data_classes.array.linear_algebra": [[57, "module-ivy.data_classes.array.linear_algebra"]], "matmul() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matmul"]], "matrix_norm() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_norm"]], "matrix_power() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_power"]], "matrix_rank() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_rank"]], "matrix_transpose() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.matrix_transpose"]], "outer() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.outer"]], "pinv() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.pinv"]], "qr() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.qr"]], "slogdet() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.slogdet"]], "solve() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.solve"]], "svd() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.svd"]], "svdvals() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.svdvals"]], "tensordot() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.tensordot"]], "tensorsolve() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.tensorsolve"]], "trace() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.trace"]], "vander() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vander"]], "vecdot() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vecdot"]], "vector_norm() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.data_classes.array.linear_algebra._arraywithlinearalgebra method)": [[57, "ivy.data_classes.array.linear_algebra._ArrayWithLinearAlgebra.vector_to_skew_symmetric_matrix"]], "_arraywithlosses (class in ivy.data_classes.array.losses)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses"]], "_abc_impl (ivy.data_classes.array.losses._arraywithlosses attribute)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses._abc_impl"]], "binary_cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.binary_cross_entropy"]], "cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.cross_entropy"]], "ivy.data_classes.array.losses": [[58, "module-ivy.data_classes.array.losses"]], "sparse_cross_entropy() (ivy.data_classes.array.losses._arraywithlosses method)": [[58, "ivy.data_classes.array.losses._ArrayWithLosses.sparse_cross_entropy"]], "_arraywithmanipulation (class in ivy.data_classes.array.manipulation)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation"]], "_abc_impl (ivy.data_classes.array.manipulation._arraywithmanipulation attribute)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation._abc_impl"]], "clip() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.clip"]], "concat() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.concat"]], "constant_pad() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.constant_pad"]], "expand_dims() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.expand_dims"]], "flip() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.flip"]], "ivy.data_classes.array.manipulation": [[59, "module-ivy.data_classes.array.manipulation"]], "permute_dims() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.permute_dims"]], "repeat() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.repeat"]], "reshape() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.reshape"]], "roll() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.roll"]], "split() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.split"]], "squeeze() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.squeeze"]], "stack() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.stack"]], "swapaxes() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.swapaxes"]], "tile() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.tile"]], "unstack() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.unstack"]], "view() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.view"]], "zero_pad() (ivy.data_classes.array.manipulation._arraywithmanipulation method)": [[59, "ivy.data_classes.array.manipulation._ArrayWithManipulation.zero_pad"]], "_arraywithnorms (class in ivy.data_classes.array.norms)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms"]], "_abc_impl (ivy.data_classes.array.norms._arraywithnorms attribute)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms._abc_impl"]], "ivy.data_classes.array.norms": [[60, "module-ivy.data_classes.array.norms"]], "layer_norm() (ivy.data_classes.array.norms._arraywithnorms method)": [[60, "ivy.data_classes.array.norms._ArrayWithNorms.layer_norm"]], "_arraywithrandom (class in ivy.data_classes.array.random)": [[61, "ivy.data_classes.array.random._ArrayWithRandom"]], "_abc_impl (ivy.data_classes.array.random._arraywithrandom attribute)": [[61, "ivy.data_classes.array.random._ArrayWithRandom._abc_impl"]], "ivy.data_classes.array.random": [[61, "module-ivy.data_classes.array.random"]], "multinomial() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.multinomial"]], "randint() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.randint"]], "random_normal() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.random_normal"]], "random_uniform() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.random_uniform"]], "shuffle() (ivy.data_classes.array.random._arraywithrandom method)": [[61, "ivy.data_classes.array.random._ArrayWithRandom.shuffle"]], "_arraywithsearching (class in ivy.data_classes.array.searching)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching"]], "_abc_impl (ivy.data_classes.array.searching._arraywithsearching attribute)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching._abc_impl"]], "argmax() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argmax"]], "argmin() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argmin"]], "argwhere() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.argwhere"]], "ivy.data_classes.array.searching": [[62, "module-ivy.data_classes.array.searching"]], "nonzero() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.nonzero"]], "where() (ivy.data_classes.array.searching._arraywithsearching method)": [[62, "ivy.data_classes.array.searching._ArrayWithSearching.where"]], "_arraywithset (class in ivy.data_classes.array.set)": [[63, "ivy.data_classes.array.set._ArrayWithSet"]], "_abc_impl (ivy.data_classes.array.set._arraywithset attribute)": [[63, "ivy.data_classes.array.set._ArrayWithSet._abc_impl"]], "ivy.data_classes.array.set": [[63, "module-ivy.data_classes.array.set"]], "unique_all() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_all"]], "unique_counts() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_counts"]], "unique_inverse() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_inverse"]], "unique_values() (ivy.data_classes.array.set._arraywithset method)": [[63, "ivy.data_classes.array.set._ArrayWithSet.unique_values"]], "_arraywithsorting (class in ivy.data_classes.array.sorting)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting"]], "_abc_impl (ivy.data_classes.array.sorting._arraywithsorting attribute)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting._abc_impl"]], "argsort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.argsort"]], "ivy.data_classes.array.sorting": [[64, "module-ivy.data_classes.array.sorting"]], "msort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.msort"]], "searchsorted() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.searchsorted"]], "sort() (ivy.data_classes.array.sorting._arraywithsorting method)": [[64, "ivy.data_classes.array.sorting._ArrayWithSorting.sort"]], "_arraywithstatistical (class in ivy.data_classes.array.statistical)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical"]], "_abc_impl (ivy.data_classes.array.statistical._arraywithstatistical attribute)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical._abc_impl"]], "cumprod() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.cumprod"]], "cumsum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.cumsum"]], "einsum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.einsum"]], "ivy.data_classes.array.statistical": [[65, "module-ivy.data_classes.array.statistical"]], "max() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.max"]], "mean() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.mean"]], "min() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.min"]], "prod() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.prod"]], "std() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.std"]], "sum() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.sum"]], "var() (ivy.data_classes.array.statistical._arraywithstatistical method)": [[65, "ivy.data_classes.array.statistical._ArrayWithStatistical.var"]], "_arraywithutility (class in ivy.data_classes.array.utility)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility"]], "_abc_impl (ivy.data_classes.array.utility._arraywithutility attribute)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility._abc_impl"]], "all() (ivy.data_classes.array.utility._arraywithutility method)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility.all"]], "any() (ivy.data_classes.array.utility._arraywithutility method)": [[66, "ivy.data_classes.array.utility._ArrayWithUtility.any"]], "ivy.data_classes.array.utility": [[66, "module-ivy.data_classes.array.utility"]], "_wrap_function() (in module ivy.data_classes.array.wrapping)": [[67, "ivy.data_classes.array.wrapping._wrap_function"]], "add_ivy_array_instance_methods() (in module ivy.data_classes.array.wrapping)": [[67, "ivy.data_classes.array.wrapping.add_ivy_array_instance_methods"]], "ivy.data_classes.array.wrapping": [[67, "module-ivy.data_classes.array.wrapping"]], "_containerwithactivations (class in ivy.data_classes.container.activations)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations"]], "_abc_impl (ivy.data_classes.container.activations._containerwithactivations attribute)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._abc_impl"]], "_static_gelu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_gelu"]], "_static_hardswish() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_hardswish"]], "_static_leaky_relu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_leaky_relu"]], "_static_log_softmax() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_log_softmax"]], "_static_mish() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_mish"]], "_static_relu() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_relu"]], "_static_sigmoid() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_sigmoid"]], "_static_softmax() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_softmax"]], "_static_softplus() (ivy.data_classes.container.activations._containerwithactivations static method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations._static_softplus"]], "gelu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.gelu"]], "hardswish() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.hardswish"]], "ivy.data_classes.container.activations": [[68, "module-ivy.data_classes.container.activations"]], "leaky_relu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.leaky_relu"]], "log_softmax() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.log_softmax"]], "mish() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.mish"]], "relu() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.relu"]], "sigmoid() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.sigmoid"]], "softmax() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.softmax"]], "softplus() (ivy.data_classes.container.activations._containerwithactivations method)": [[68, "ivy.data_classes.container.activations._ContainerWithActivations.softplus"]], "containerbase (class in ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base.ContainerBase"]], "__getitem__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__getitem__"]], "__init__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__init__"]], "__setitem__() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.__setitem__"]], "_abc_impl (ivy.data_classes.container.base.containerbase attribute)": [[69, "ivy.data_classes.container.base.ContainerBase._abc_impl"]], "_cont_at_key_chains_input_as_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_at_key_chains_input_as_dict"]], "_cont_at_key_chains_input_as_seq() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_at_key_chains_input_as_seq"]], "_cont_call_static_method_with_flexible_args() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_call_static_method_with_flexible_args"]], "_cont_concat_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_concat_unify"]], "_cont_get_dev() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_dev"]], "_cont_get_dtype() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_dtype"]], "_cont_get_shape() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_shape"]], "_cont_get_shapes() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_get_shapes"]], "_cont_ivy (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_ivy"]], "_cont_mean_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_mean_unify"]], "_cont_prune_key_chains_input_as_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_prune_key_chains_input_as_dict"]], "_cont_prune_key_chains_input_as_seq() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_prune_key_chains_input_as_seq"]], "_cont_slice_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_slice_keys"]], "_cont_sum_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase._cont_sum_unify"]], "_get_queue_item() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase._get_queue_item"]], "_is_jsonable() (in module ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base._is_jsonable"]], "_repr() (in module ivy.data_classes.container.base)": [[69, "ivy.data_classes.container.base._repr"]], "cont_all_false() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_false"]], "cont_all_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_key_chains"]], "cont_all_true() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_all_true"]], "cont_as_bools() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_as_bools"]], "cont_assert_contains_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_contains_sub_container"]], "cont_assert_contains_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_contains_sub_structure"]], "cont_assert_identical() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_identical"]], "cont_assert_identical_structure() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_assert_identical_structure"]], "cont_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_key_chain"]], "cont_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_key_chains"]], "cont_at_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_at_keys"]], "cont_combine() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_combine"]], "cont_common_key_chains() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_common_key_chains"]], "cont_config (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_config"]], "cont_contains_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_contains_sub_container"]], "cont_contains_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_contains_sub_structure"]], "cont_copy() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_copy"]], "cont_create_if_absent() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_create_if_absent"]], "cont_cutoff_at_depth() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_cutoff_at_depth"]], "cont_cutoff_at_height() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_cutoff_at_height"]], "cont_deep_copy() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_deep_copy"]], "cont_dev (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dev"]], "cont_dev_str (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dev_str"]], "cont_diff() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_diff"]], "cont_dtype (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_dtype"]], "cont_duplicate_array_keychains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_duplicate_array_keychains"]], "cont_find_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_find_sub_container"]], "cont_find_sub_structure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_find_sub_structure"]], "cont_flatten_key_chain() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_flatten_key_chain"]], "cont_flatten_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_flatten_key_chains"]], "cont_format_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_format_key_chains"]], "cont_from_disk_as_hdf5() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_hdf5"]], "cont_from_disk_as_json() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_json"]], "cont_from_disk_as_pickled() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_disk_as_pickled"]], "cont_from_flat_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_from_flat_list"]], "cont_handle_inplace() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_handle_inplace"]], "cont_has_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_has_key"]], "cont_has_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_has_key_chain"]], "cont_identical() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical"]], "cont_identical_array_shapes() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_array_shapes"]], "cont_identical_configs() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_configs"]], "cont_identical_structure() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_identical_structure"]], "cont_if_exists() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_if_exists"]], "cont_inplace_update() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_inplace_update"]], "cont_ivy (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_ivy"]], "cont_key_chains_containing() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_key_chains_containing"]], "cont_list_join() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_list_join"]], "cont_list_stack() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_list_stack"]], "cont_load() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_load"]], "cont_map() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_map"]], "cont_map_sub_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_map_sub_conts"]], "cont_max_depth (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_max_depth"]], "cont_multi_map() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_multi_map"]], "cont_multi_map_in_function() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_multi_map_in_function"]], "cont_num_arrays() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_num_arrays"]], "cont_overwrite_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_overwrite_at_key_chain"]], "cont_overwrite_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_overwrite_at_key_chains"]], "cont_prune_empty() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_empty"]], "cont_prune_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_chain"]], "cont_prune_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_chains"]], "cont_prune_key_from_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_key_from_key_chains"]], "cont_prune_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_keys"]], "cont_prune_keys_from_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_prune_keys_from_key_chains"]], "cont_reduce() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_reduce"]], "cont_remove_key_length_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_remove_key_length_limit"]], "cont_remove_print_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_remove_print_limit"]], "cont_reshape_like() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_reshape_like"]], "cont_restructure() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_restructure"]], "cont_restructure_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_restructure_key_chains"]], "cont_save() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_save"]], "cont_set_at_key_chain() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_key_chain"]], "cont_set_at_key_chains() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_key_chains"]], "cont_set_at_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_set_at_keys"]], "cont_shape (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_shape"]], "cont_shapes (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_shapes"]], "cont_show() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_show"]], "cont_show_sub_container() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_show_sub_container"]], "cont_size_ordered_arrays() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_size_ordered_arrays"]], "cont_slice_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_slice_keys"]], "cont_slice_via_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_slice_via_key"]], "cont_sort_by_key() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_sort_by_key"]], "cont_structural_diff() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_structural_diff"]], "cont_to_dict() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_dict"]], "cont_to_disk_as_hdf5() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_hdf5"]], "cont_to_disk_as_json() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_json"]], "cont_to_disk_as_pickled() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_disk_as_pickled"]], "cont_to_flat_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_flat_list"]], "cont_to_iterator() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator"]], "cont_to_iterator_keys() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator_keys"]], "cont_to_iterator_values() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_iterator_values"]], "cont_to_jsonable() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_jsonable"]], "cont_to_nested_list() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_nested_list"]], "cont_to_raw() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_to_raw"]], "cont_trim_key() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_trim_key"]], "cont_try_kc() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_try_kc"]], "cont_unify() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_unify"]], "cont_unstack_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_unstack_conts"]], "cont_update_config() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_update_config"]], "cont_with_default_key_color() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_default_key_color"]], "cont_with_entries_as_lists() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_entries_as_lists"]], "cont_with_ivy_backend() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_ivy_backend"]], "cont_with_key_length_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_key_length_limit"]], "cont_with_print_indent() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_indent"]], "cont_with_print_limit() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_limit"]], "cont_with_print_line_spacing() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.cont_with_print_line_spacing"]], "dynamic_backend (ivy.data_classes.container.base.containerbase property)": [[69, "ivy.data_classes.container.base.ContainerBase.dynamic_backend"]], "h5_file_size() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.h5_file_size"]], "ivy.data_classes.container.base": [[69, "module-ivy.data_classes.container.base"]], "shuffle_h5_file() (ivy.data_classes.container.base.containerbase static method)": [[69, "ivy.data_classes.container.base.ContainerBase.shuffle_h5_file"]], "split_conts() (ivy.data_classes.container.base.containerbase method)": [[69, "ivy.data_classes.container.base.ContainerBase.split_conts"]], "_containerwithconversions (class in ivy.data_classes.container.conversions)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions"]], "_abc_impl (ivy.data_classes.container.conversions._containerwithconversions attribute)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._abc_impl"]], "_static_to_ivy() (ivy.data_classes.container.conversions._containerwithconversions static method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._static_to_ivy"]], "_static_to_native() (ivy.data_classes.container.conversions._containerwithconversions static method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions._static_to_native"]], "ivy.data_classes.container.conversions": [[70, "module-ivy.data_classes.container.conversions"]], "to_ivy() (ivy.data_classes.container.conversions._containerwithconversions method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions.to_ivy"]], "to_native() (ivy.data_classes.container.conversions._containerwithconversions method)": [[70, "ivy.data_classes.container.conversions._ContainerWithConversions.to_native"]], "_containerwithcreation (class in ivy.data_classes.container.creation)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation"]], "_abc_impl (ivy.data_classes.container.creation._containerwithcreation attribute)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._abc_impl"]], "_static_arange() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_arange"]], "_static_asarray() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_asarray"]], "_static_copy_array() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_copy_array"]], "_static_empty() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_empty"]], "_static_empty_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_empty_like"]], "_static_eye() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_eye"]], "_static_from_dlpack() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_from_dlpack"]], "_static_full() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_full"]], "_static_full_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_full_like"]], "_static_linspace() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_linspace"]], "_static_logspace() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_logspace"]], "_static_meshgrid() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_meshgrid"]], "_static_native_array() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_native_array"]], "_static_one_hot() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_one_hot"]], "_static_ones() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_ones"]], "_static_ones_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_ones_like"]], "_static_tril() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_tril"]], "_static_triu() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_triu"]], "_static_zeros() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_zeros"]], "_static_zeros_like() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation._static_zeros_like"]], "asarray() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.asarray"]], "copy_array() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.copy_array"]], "empty_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.empty_like"]], "from_dlpack() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.from_dlpack"]], "frombuffer() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.frombuffer"]], "full_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.full_like"]], "ivy.data_classes.container.creation": [[71, "module-ivy.data_classes.container.creation"]], "linspace() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.linspace"]], "logspace() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.logspace"]], "meshgrid() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.meshgrid"]], "native_array() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.native_array"]], "one_hot() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.one_hot"]], "ones_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.ones_like"]], "static_frombuffer() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.static_frombuffer"]], "static_triu_indices() (ivy.data_classes.container.creation._containerwithcreation static method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.static_triu_indices"]], "tril() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.tril"]], "triu() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.triu"]], "triu_indices() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.triu_indices"]], "zeros_like() (ivy.data_classes.container.creation._containerwithcreation method)": [[71, "ivy.data_classes.container.creation._ContainerWithCreation.zeros_like"]], "_containerwithdatatypes (class in ivy.data_classes.container.data_type)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes"]], "_abc_impl (ivy.data_classes.container.data_type._containerwithdatatypes attribute)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._abc_impl"]], "_static_astype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_astype"]], "_static_broadcast_arrays() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_broadcast_arrays"]], "_static_broadcast_to() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_broadcast_to"]], "_static_can_cast() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_can_cast"]], "_static_default_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_default_complex_dtype"]], "_static_default_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_default_float_dtype"]], "_static_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_dtype"]], "_static_finfo() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_finfo"]], "_static_function_supported_dtypes() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_function_supported_dtypes"]], "_static_function_unsupported_dtypes() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_function_unsupported_dtypes"]], "_static_iinfo() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_iinfo"]], "_static_is_bool_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_bool_dtype"]], "_static_is_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_complex_dtype"]], "_static_is_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_float_dtype"]], "_static_is_int_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_int_dtype"]], "_static_is_uint_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_is_uint_dtype"]], "_static_result_type() (ivy.data_classes.container.data_type._containerwithdatatypes static method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes._static_result_type"]], "astype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.astype"]], "broadcast_arrays() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.broadcast_arrays"]], "broadcast_to() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.broadcast_to"]], "can_cast() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.can_cast"]], "dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.dtype"]], "finfo() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.finfo"]], "iinfo() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.iinfo"]], "is_bool_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_bool_dtype"]], "is_complex_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_complex_dtype"]], "is_float_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_float_dtype"]], "is_int_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_int_dtype"]], "is_uint_dtype() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.is_uint_dtype"]], "ivy.data_classes.container.data_type": [[72, "module-ivy.data_classes.container.data_type"]], "result_type() (ivy.data_classes.container.data_type._containerwithdatatypes method)": [[72, "ivy.data_classes.container.data_type._ContainerWithDataTypes.result_type"]], "_containerwithdevice (class in ivy.data_classes.container.device)": [[73, "ivy.data_classes.container.device._ContainerWithDevice"]], "_abc_impl (ivy.data_classes.container.device._containerwithdevice attribute)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._abc_impl"]], "_static_dev() (ivy.data_classes.container.device._containerwithdevice static method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._static_dev"]], "_static_to_device() (ivy.data_classes.container.device._containerwithdevice static method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice._static_to_device"]], "dev() (ivy.data_classes.container.device._containerwithdevice method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice.dev"]], "ivy.data_classes.container.device": [[73, "module-ivy.data_classes.container.device"]], "to_device() (ivy.data_classes.container.device._containerwithdevice method)": [[73, "ivy.data_classes.container.device._ContainerWithDevice.to_device"]], "_containerwithelementwise (class in ivy.data_classes.container.elementwise)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise"]], "_abc_impl (ivy.data_classes.container.elementwise._containerwithelementwise attribute)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._abc_impl"]], "_static_abs() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_abs"]], "_static_acos() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_acos"]], "_static_acosh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_acosh"]], "_static_add() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_add"]], "_static_asin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_asin"]], "_static_asinh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_asinh"]], "_static_atan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atan"]], "_static_atan2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atan2"]], "_static_atanh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_atanh"]], "_static_bitwise_and() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_and"]], "_static_bitwise_invert() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_invert"]], "_static_bitwise_left_shift() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_left_shift"]], "_static_bitwise_or() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_or"]], "_static_bitwise_right_shift() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_right_shift"]], "_static_bitwise_xor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_bitwise_xor"]], "_static_ceil() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_ceil"]], "_static_cos() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_cos"]], "_static_cosh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_cosh"]], "_static_deg2rad() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_deg2rad"]], "_static_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_divide"]], "_static_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_equal"]], "_static_erf() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_erf"]], "_static_exp() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_exp"]], "_static_expm1() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_expm1"]], "_static_floor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_floor"]], "_static_floor_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_floor_divide"]], "_static_greater() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_greater"]], "_static_greater_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_greater_equal"]], "_static_isfinite() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isfinite"]], "_static_isinf() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isinf"]], "_static_isnan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isnan"]], "_static_isreal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_isreal"]], "_static_lcm() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_lcm"]], "_static_less() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_less"]], "_static_less_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_less_equal"]], "_static_log() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log"]], "_static_log10() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log10"]], "_static_log1p() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log1p"]], "_static_log2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_log2"]], "_static_logaddexp() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logaddexp"]], "_static_logical_and() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_and"]], "_static_logical_not() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_not"]], "_static_logical_or() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_or"]], "_static_logical_xor() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_logical_xor"]], "_static_maximum() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_maximum"]], "_static_minimum() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_minimum"]], "_static_multiply() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_multiply"]], "_static_negative() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_negative"]], "_static_not_equal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_not_equal"]], "_static_positive() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_positive"]], "_static_pow() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_pow"]], "_static_rad2deg() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_rad2deg"]], "_static_reciprocal() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_reciprocal"]], "_static_remainder() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_remainder"]], "_static_round() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_round"]], "_static_sign() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sign"]], "_static_sin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sin"]], "_static_sinh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sinh"]], "_static_sqrt() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_sqrt"]], "_static_square() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_square"]], "_static_subtract() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_subtract"]], "_static_tan() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_tan"]], "_static_tanh() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_tanh"]], "_static_trapz() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trapz"]], "_static_trunc() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trunc"]], "_static_trunc_divide() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise._static_trunc_divide"]], "abs() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.abs"]], "acos() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.acos"]], "acosh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.acosh"]], "add() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.add"]], "angle() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.angle"]], "asin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.asin"]], "asinh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.asinh"]], "atan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atan"]], "atan2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atan2"]], "atanh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.atanh"]], "bitwise_and() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_and"]], "bitwise_invert() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_invert"]], "bitwise_left_shift() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_left_shift"]], "bitwise_or() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_or"]], "bitwise_right_shift() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_right_shift"]], "bitwise_xor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.bitwise_xor"]], "ceil() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.ceil"]], "cos() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.cos"]], "cosh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.cosh"]], "deg2rad() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.deg2rad"]], "divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.divide"]], "equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.equal"]], "erf() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.erf"]], "exp() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.exp"]], "exp2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.exp2"]], "expm1() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.expm1"]], "floor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.floor"]], "floor_divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.floor_divide"]], "fmin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.fmin"]], "gcd() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.gcd"]], "greater() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.greater"]], "greater_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.greater_equal"]], "imag() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.imag"]], "isfinite() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isfinite"]], "isinf() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isinf"]], "isnan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isnan"]], "isreal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.isreal"]], "ivy.data_classes.container.elementwise": [[74, "module-ivy.data_classes.container.elementwise"]], "lcm() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.lcm"]], "less() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.less"]], "less_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.less_equal"]], "log() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log"]], "log10() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log10"]], "log1p() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log1p"]], "log2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.log2"]], "logaddexp() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logaddexp"]], "logaddexp2() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logaddexp2"]], "logical_and() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_and"]], "logical_not() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_not"]], "logical_or() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_or"]], "logical_xor() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.logical_xor"]], "maximum() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.maximum"]], "minimum() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.minimum"]], "multiply() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.multiply"]], "nan_to_num() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.nan_to_num"]], "negative() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.negative"]], "not_equal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.not_equal"]], "positive() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.positive"]], "pow() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.pow"]], "rad2deg() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.rad2deg"]], "real() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.real"]], "reciprocal() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.reciprocal"]], "remainder() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.remainder"]], "round() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.round"]], "sign() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sign"]], "sin() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sin"]], "sinh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sinh"]], "sqrt() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.sqrt"]], "square() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.square"]], "static_angle() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_angle"]], "static_exp2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_exp2"]], "static_fmin() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_fmin"]], "static_gcd() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_gcd"]], "static_imag() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_imag"]], "static_logaddexp2() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_logaddexp2"]], "static_nan_to_num() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_nan_to_num"]], "static_real() (ivy.data_classes.container.elementwise._containerwithelementwise static method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.static_real"]], "subtract() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.subtract"]], "tan() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.tan"]], "tanh() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.tanh"]], "trapz() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trapz"]], "trunc() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trunc"]], "trunc_divide() (ivy.data_classes.container.elementwise._containerwithelementwise method)": [[74, "ivy.data_classes.container.elementwise._ContainerWithElementwise.trunc_divide"]], "_containerwithactivationexperimental (class in ivy.data_classes.container.experimental.activations)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental"]], "_containerwithconversionexperimental (class in ivy.data_classes.container.experimental.conversions)": [[75, "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental"]], "_containerwithcreationexperimental (class in ivy.data_classes.container.experimental.creation)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental"]], "_containerwithdata_typeexperimental (class in ivy.data_classes.container.experimental.data_type)": [[75, "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental"]], "_containerwithdeviceexperimental (class in ivy.data_classes.container.experimental.device)": [[75, "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental"]], "_containerwithelementwiseexperimental (class in ivy.data_classes.container.experimental.elementwise)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental"]], "_containerwithgeneralexperimental (class in ivy.data_classes.container.experimental.general)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental"]], "_containerwithgradientsexperimental (class in ivy.data_classes.container.experimental.gradients)": [[75, "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental"]], "_containerwithimageexperimental (class in ivy.data_classes.container.experimental.image)": [[75, "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental"]], "_containerwithlayersexperimental (class in ivy.data_classes.container.experimental.layers)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental"]], "_containerwithlinearalgebraexperimental (class in ivy.data_classes.container.experimental.linear_algebra)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental"]], "_containerwithlossesexperimental (class in ivy.data_classes.container.experimental.losses)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental"]], "_containerwithmanipulationexperimental (class in ivy.data_classes.container.experimental.manipulation)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental"]], "_containerwithnormsexperimental (class in ivy.data_classes.container.experimental.norms)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental"]], "_containerwithrandomexperimental (class in ivy.data_classes.container.experimental.random)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental"]], "_containerwithsearchingexperimental (class in ivy.data_classes.container.experimental.searching)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental"]], "_containerwithsetexperimental (class in ivy.data_classes.container.experimental.set)": [[75, "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental"]], "_containerwithsortingexperimental (class in ivy.data_classes.container.experimental.sorting)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental"]], "_containerwithstatisticalexperimental (class in ivy.data_classes.container.experimental.statistical)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental"]], "_containerwithutilityexperimental (class in ivy.data_classes.container.experimental.utility)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental"]], "_abc_impl (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.conversions._containerwithconversionexperimental attribute)": [[75, "ivy.data_classes.container.experimental.conversions._ContainerWithConversionExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.data_type._containerwithdata_typeexperimental attribute)": [[75, "ivy.data_classes.container.experimental.data_type._ContainerWithData_typeExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.device._containerwithdeviceexperimental attribute)": [[75, "ivy.data_classes.container.experimental.device._ContainerWithDeviceExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental attribute)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental attribute)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.gradients._containerwithgradientsexperimental attribute)": [[75, "ivy.data_classes.container.experimental.gradients._ContainerWithGradientsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.image._containerwithimageexperimental attribute)": [[75, "ivy.data_classes.container.experimental.image._ContainerWithImageExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental attribute)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental attribute)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental attribute)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental attribute)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental attribute)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.random._containerwithrandomexperimental attribute)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental attribute)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.set._containerwithsetexperimental attribute)": [[75, "ivy.data_classes.container.experimental.set._ContainerWithSetExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental attribute)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental attribute)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._abc_impl"]], "_abc_impl (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental attribute)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental._abc_impl"]], "_static_celu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_celu"]], "_static_cummax() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_cummax"]], "_static_cummin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_cummin"]], "_static_elu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_elu"]], "_static_fft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._static_fft"]], "_static_fill_diagonal() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_fill_diagonal"]], "_static_hardshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_hardshrink"]], "_static_hardtanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_hardtanh"]], "_static_huber_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_huber_loss"]], "_static_kl_div() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_kl_div"]], "_static_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_l1_loss"]], "_static_log_poisson_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_log_poisson_loss"]], "_static_nanmin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental._static_nanmin"]], "_static_poisson_nll_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_poisson_nll_loss"]], "_static_put_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_put_along_axis"]], "_static_reduce() (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental static method)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental._static_reduce"]], "_static_scaled_tanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_scaled_tanh"]], "_static_silu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_silu"]], "_static_sliding_window() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental._static_sliding_window"]], "_static_smooth_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_smooth_l1_loss"]], "_static_soft_margin_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental static method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental._static_soft_margin_loss"]], "_static_softshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_softshrink"]], "_static_take() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_take"]], "_static_tanhshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_tanhshrink"]], "_static_threshold() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental._static_threshold"]], "_static_trilu() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental._static_trilu"]], "_static_trim_zeros() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_trim_zeros"]], "_static_unique_consecutive() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental._static_unique_consecutive"]], "adaptive_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.adaptive_max_pool2d"]], "adjoint() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.adjoint"]], "allclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.allclose"]], "amax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.amax"]], "amin() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.amin"]], "as_strided() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.as_strided"]], "associative_scan() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.associative_scan"]], "atleast_1d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_1d"]], "atleast_2d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_2d"]], "atleast_3d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.atleast_3d"]], "avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool1d"]], "avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool2d"]], "avg_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.avg_pool3d"]], "batch_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.batch_norm"]], "batched_outer() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.batched_outer"]], "bernoulli() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.bernoulli"]], "beta() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.beta"]], "binarizer() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.binarizer"]], "bincount() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.bincount"]], "blackman_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.blackman_window"]], "broadcast_shapes() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.broadcast_shapes"]], "celu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.celu"]], "column_stack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.column_stack"]], "concat_from_sequence() (in module ivy.data_classes.container.experimental.manipulation)": [[75, "ivy.data_classes.container.experimental.manipulation.concat_from_sequence"]], "concat_from_sequence() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.concat_from_sequence"]], "cond() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.cond"]], "conj() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.conj"]], "copysign() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.copysign"]], "corrcoef() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.corrcoef"]], "count_nonzero() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.count_nonzero"]], "cov() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cov"]], "cummax() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cummax"]], "cummin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.cummin"]], "dct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.dct"]], "dft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.dft"]], "diagflat() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.diagflat"]], "diff() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.diff"]], "digamma() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.digamma"]], "dirichlet() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.dirichlet"]], "dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.dot"]], "dsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.dsplit"]], "dstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.dstack"]], "eig() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eig"]], "eigh_tridiagonal() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eigh_tridiagonal"]], "eigvals() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.eigvals"]], "elu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.elu"]], "embedding() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.embedding"]], "erfc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.erfc"]], "expand() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.expand"]], "eye_like() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.eye_like"]], "fft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.fft"]], "fill_diagonal() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fill_diagonal"]], "fix() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fix"]], "flatten() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.flatten"]], "fliplr() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fliplr"]], "flipud() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.flipud"]], "float_power() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.float_power"]], "fmax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fmax"]], "fmod() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.fmod"]], "fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.fold"]], "frexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.frexp"]], "gamma() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.gamma"]], "gradient() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.gradient"]], "group_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.group_norm"]], "hamming_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.hamming_window"]], "hann_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.hann_window"]], "hardshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.hardshrink"]], "hardtanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.hardtanh"]], "heaviside() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.heaviside"]], "higher_order_moment() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.higher_order_moment"]], "histogram() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.histogram"]], "hsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.hsplit"]], "hstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.hstack"]], "huber_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.huber_loss"]], "hypot() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.hypot"]], "i0() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.i0"]], "idct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.idct"]], "ifft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.ifft"]], "ifftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.ifftn"]], "igamma() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.igamma"]], "initialize_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.initialize_tucker"]], "instance_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.instance_norm"]], "interpolate() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.interpolate"]], "invert_permutation() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.invert_permutation"]], "isclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.isclose"]], "ivy.data_classes.container.experimental": [[75, "module-ivy.data_classes.container.experimental"]], "ivy.data_classes.container.experimental.activations": [[75, "module-ivy.data_classes.container.experimental.activations"]], "ivy.data_classes.container.experimental.conversions": [[75, "module-ivy.data_classes.container.experimental.conversions"]], "ivy.data_classes.container.experimental.creation": [[75, "module-ivy.data_classes.container.experimental.creation"]], "ivy.data_classes.container.experimental.data_type": [[75, "module-ivy.data_classes.container.experimental.data_type"]], "ivy.data_classes.container.experimental.device": [[75, "module-ivy.data_classes.container.experimental.device"]], "ivy.data_classes.container.experimental.elementwise": [[75, "module-ivy.data_classes.container.experimental.elementwise"]], "ivy.data_classes.container.experimental.general": [[75, "module-ivy.data_classes.container.experimental.general"]], "ivy.data_classes.container.experimental.gradients": [[75, "module-ivy.data_classes.container.experimental.gradients"]], "ivy.data_classes.container.experimental.image": [[75, "module-ivy.data_classes.container.experimental.image"]], "ivy.data_classes.container.experimental.layers": [[75, "module-ivy.data_classes.container.experimental.layers"]], "ivy.data_classes.container.experimental.linear_algebra": [[75, "module-ivy.data_classes.container.experimental.linear_algebra"]], "ivy.data_classes.container.experimental.losses": [[75, "module-ivy.data_classes.container.experimental.losses"]], "ivy.data_classes.container.experimental.manipulation": [[75, "module-ivy.data_classes.container.experimental.manipulation"]], "ivy.data_classes.container.experimental.norms": [[75, "module-ivy.data_classes.container.experimental.norms"]], "ivy.data_classes.container.experimental.random": [[75, "module-ivy.data_classes.container.experimental.random"]], "ivy.data_classes.container.experimental.searching": [[75, "module-ivy.data_classes.container.experimental.searching"]], "ivy.data_classes.container.experimental.set": [[75, "module-ivy.data_classes.container.experimental.set"]], "ivy.data_classes.container.experimental.sorting": [[75, "module-ivy.data_classes.container.experimental.sorting"]], "ivy.data_classes.container.experimental.statistical": [[75, "module-ivy.data_classes.container.experimental.statistical"]], "ivy.data_classes.container.experimental.utility": [[75, "module-ivy.data_classes.container.experimental.utility"]], "kaiser_bessel_derived_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.kaiser_bessel_derived_window"]], "kaiser_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.kaiser_window"]], "kl_div() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.kl_div"]], "kron() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.kron"]], "l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.l1_loss"]], "l1_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.l1_normalize"]], "l2_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.l2_normalize"]], "ldexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.ldexp"]], "lerp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.lerp"]], "lexsort() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.lexsort"]], "log_poisson_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.log_poisson_loss"]], "logit() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.logit"]], "logsigmoid() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.logsigmoid"]], "lp_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.lp_normalize"]], "make_svd_non_negative() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.make_svd_non_negative"]], "matricize() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.matricize"]], "matrix_exp() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.matrix_exp"]], "max_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool1d"]], "max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool2d"]], "max_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_pool3d"]], "max_unpool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.max_unpool1d"]], "median() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.median"]], "mel_weight_matrix() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.mel_weight_matrix"]], "mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.mode_dot"]], "modf() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.modf"]], "moveaxis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.moveaxis"]], "multi_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.multi_dot"]], "multi_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.multi_mode_dot"]], "nanmean() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmean"]], "nanmedian() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmedian"]], "nanmin() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanmin"]], "nanprod() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.nanprod"]], "nansum() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.nansum"]], "nextafter() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.nextafter"]], "optional_get_element() (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental method)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental.optional_get_element"]], "pad() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.pad"]], "partial_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_fold"]], "partial_tensor_to_vec() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_tensor_to_vec"]], "partial_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.partial_tucker"]], "partial_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_unfold"]], "partial_vec_to_tensor() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.partial_vec_to_tensor"]], "poisson() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.poisson"]], "poisson_nll_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.poisson_nll_loss"]], "polyval() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.polyval"]], "prelu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.prelu"]], "put_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.put_along_axis"]], "quantile() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.quantile"]], "reduce() (ivy.data_classes.container.experimental.general._containerwithgeneralexperimental method)": [[75, "ivy.data_classes.container.experimental.general._ContainerWithGeneralExperimental.reduce"]], "relu6() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.relu6"]], "rfft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.rfft"]], "rfftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.rfftn"]], "rot90() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.rot90"]], "scaled_tanh() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.scaled_tanh"]], "selu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.selu"]], "signbit() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.signbit"]], "silu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.silu"]], "sinc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.sinc"]], "sliding_window() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.sliding_window"]], "smooth_l1_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.smooth_l1_loss"]], "soft_margin_loss() (ivy.data_classes.container.experimental.losses._containerwithlossesexperimental method)": [[75, "ivy.data_classes.container.experimental.losses._ContainerWithLossesExperimental.soft_margin_loss"]], "soft_thresholding() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.soft_thresholding"]], "softshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.softshrink"]], "sparsify_tensor() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.sparsify_tensor"]], "static_adaptive_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_avg_pool1d"]], "static_adaptive_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_avg_pool2d"]], "static_adaptive_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_adaptive_max_pool2d"]], "static_adjoint() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_adjoint"]], "static_allclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_allclose"]], "static_amax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_amax"]], "static_amin() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_amin"]], "static_as_strided() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_as_strided"]], "static_atleast_1d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_1d"]], "static_atleast_2d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_2d"]], "static_atleast_3d() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_atleast_3d"]], "static_avg_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool1d"]], "static_avg_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool2d"]], "static_avg_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_avg_pool3d"]], "static_batch_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_batch_norm"]], "static_batched_outer() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_batched_outer"]], "static_bernoulli() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_bernoulli"]], "static_beta() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_beta"]], "static_binarizer() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_binarizer"]], "static_bincount() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_bincount"]], "static_blackman_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_blackman_window"]], "static_broadcast_shapes() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_broadcast_shapes"]], "static_column_stack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_column_stack"]], "static_concat_from_sequence() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_concat_from_sequence"]], "static_cond() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_cond"]], "static_conj() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_conj"]], "static_copysign() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_copysign"]], "static_corrcoef() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_corrcoef"]], "static_count_nonzero() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_count_nonzero"]], "static_cov() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_cov"]], "static_dct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_dct"]], "static_dft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_dft"]], "static_diagflat() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_diagflat"]], "static_diff() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_diff"]], "static_digamma() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_digamma"]], "static_dirichlet() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_dirichlet"]], "static_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_dot"]], "static_dsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_dsplit"]], "static_dstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_dstack"]], "static_eig() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eig"]], "static_eigh_tridiagonal() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eigh_tridiagonal"]], "static_eigvals() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_eigvals"]], "static_embedding() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_embedding"]], "static_erfc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_erfc"]], "static_expand() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_expand"]], "static_eye_like() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_eye_like"]], "static_fix() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fix"]], "static_flatten() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_flatten"]], "static_fliplr() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_fliplr"]], "static_flipud() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_flipud"]], "static_float_power() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_float_power"]], "static_fmax() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fmax"]], "static_fmod() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_fmod"]], "static_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_fold"]], "static_frexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_frexp"]], "static_gamma() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_gamma"]], "static_gradient() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_gradient"]], "static_group_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_group_norm"]], "static_hamming_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_hamming_window"]], "static_hann_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_hann_window"]], "static_heaviside() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_heaviside"]], "static_higher_order_moment() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_higher_order_moment"]], "static_histogram() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_histogram"]], "static_hsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_hsplit"]], "static_hstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_hstack"]], "static_hypot() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_hypot"]], "static_i0() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_i0"]], "static_idct() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_idct"]], "static_ifft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_ifft"]], "static_ifftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_ifftn"]], "static_igamma() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_igamma"]], "static_initialize_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_initialize_tucker"]], "static_instance_norm() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_instance_norm"]], "static_interpolate() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_interpolate"]], "static_invert_permutation() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental static method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.static_invert_permutation"]], "static_isclose() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_isclose"]], "static_kaiser_bessel_derived_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_kaiser_bessel_derived_window"]], "static_kaiser_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_kaiser_window"]], "static_kron() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_kron"]], "static_l1_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_l1_normalize"]], "static_l2_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_l2_normalize"]], "static_ldexp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_ldexp"]], "static_lerp() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_lerp"]], "static_lexsort() (ivy.data_classes.container.experimental.sorting._containerwithsortingexperimental static method)": [[75, "ivy.data_classes.container.experimental.sorting._ContainerWithSortingExperimental.static_lexsort"]], "static_logit() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_logit"]], "static_logsigmoid() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_logsigmoid"]], "static_lp_normalize() (ivy.data_classes.container.experimental.norms._containerwithnormsexperimental static method)": [[75, "ivy.data_classes.container.experimental.norms._ContainerWithNormsExperimental.static_lp_normalize"]], "static_make_svd_non_negative() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_make_svd_non_negative"]], "static_matricize() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_matricize"]], "static_matrix_exp() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_matrix_exp"]], "static_max_pool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool1d"]], "static_max_pool2d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool2d"]], "static_max_pool3d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_pool3d"]], "static_max_unpool1d() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_max_unpool1d"]], "static_median() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_median"]], "static_mel_weight_matrix() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_mel_weight_matrix"]], "static_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_mode_dot"]], "static_modf() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_modf"]], "static_moveaxis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_moveaxis"]], "static_multi_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_multi_dot"]], "static_multi_mode_dot() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_multi_mode_dot"]], "static_nanmean() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanmean"]], "static_nanmedian() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanmedian"]], "static_nanprod() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_nanprod"]], "static_nansum() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_nansum"]], "static_nextafter() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_nextafter"]], "static_optional_get_element() (ivy.data_classes.container.experimental.utility._containerwithutilityexperimental static method)": [[75, "ivy.data_classes.container.experimental.utility._ContainerWithUtilityExperimental.static_optional_get_element"]], "static_pad() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_pad"]], "static_partial_fold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_fold"]], "static_partial_tensor_to_vec() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_tensor_to_vec"]], "static_partial_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_partial_tucker"]], "static_partial_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_unfold"]], "static_partial_vec_to_tensor() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_partial_vec_to_tensor"]], "static_poisson() (ivy.data_classes.container.experimental.random._containerwithrandomexperimental static method)": [[75, "ivy.data_classes.container.experimental.random._ContainerWithRandomExperimental.static_poisson"]], "static_polyval() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_polyval"]], "static_prelu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_prelu"]], "static_quantile() (ivy.data_classes.container.experimental.statistical._containerwithstatisticalexperimental static method)": [[75, "ivy.data_classes.container.experimental.statistical._ContainerWithStatisticalExperimental.static_quantile"]], "static_relu6() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_relu6"]], "static_rfft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rfft"]], "static_rfftn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rfftn"]], "static_rnn() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_rnn"]], "static_rot90() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_rot90"]], "static_selu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_selu"]], "static_signbit() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_signbit"]], "static_sinc() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_sinc"]], "static_soft_thresholding() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_soft_thresholding"]], "static_sparsify_tensor() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_sparsify_tensor"]], "static_stft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental static method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.static_stft"]], "static_svd_flip() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_svd_flip"]], "static_take_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_take_along_axis"]], "static_tensor_train() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tensor_train"]], "static_thresholded_relu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental static method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.static_thresholded_relu"]], "static_top_k() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_top_k"]], "static_tril_indices() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_tril_indices"]], "static_truncated_svd() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_truncated_svd"]], "static_tt_matrix_to_tensor() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tt_matrix_to_tensor"]], "static_tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental static method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.static_tucker"]], "static_unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_unfold"]], "static_unravel_index() (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental static method)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental.static_unravel_index"]], "static_unsorted_segment_mean() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_mean"]], "static_unsorted_segment_min() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_min"]], "static_unsorted_segment_sum() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_unsorted_segment_sum"]], "static_vorbis_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental static method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.static_vorbis_window"]], "static_vsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_vsplit"]], "static_vstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental static method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.static_vstack"]], "static_xlogy() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_xlogy"]], "static_zeta() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental static method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.static_zeta"]], "stft() (ivy.data_classes.container.experimental.layers._containerwithlayersexperimental method)": [[75, "ivy.data_classes.container.experimental.layers._ContainerWithLayersExperimental.stft"]], "svd_flip() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.svd_flip"]], "take() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.take"]], "take_along_axis() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.take_along_axis"]], "tanhshrink() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.tanhshrink"]], "tensor_train() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tensor_train"]], "threshold() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.threshold"]], "thresholded_relu() (ivy.data_classes.container.experimental.activations._containerwithactivationexperimental method)": [[75, "ivy.data_classes.container.experimental.activations._ContainerWithActivationExperimental.thresholded_relu"]], "top_k() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.top_k"]], "tril_indices() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.tril_indices"]], "trilu() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.trilu"]], "trim_zeros() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.trim_zeros"]], "truncated_svd() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.truncated_svd"]], "tt_matrix_to_tensor() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tt_matrix_to_tensor"]], "tucker() (ivy.data_classes.container.experimental.linear_algebra._containerwithlinearalgebraexperimental method)": [[75, "ivy.data_classes.container.experimental.linear_algebra._ContainerWithLinearAlgebraExperimental.tucker"]], "unfold() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.unfold"]], "unique_consecutive() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.unique_consecutive"]], "unravel_index() (ivy.data_classes.container.experimental.searching._containerwithsearchingexperimental method)": [[75, "ivy.data_classes.container.experimental.searching._ContainerWithSearchingExperimental.unravel_index"]], "unsorted_segment_mean() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_mean"]], "unsorted_segment_min() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_min"]], "unsorted_segment_sum() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.unsorted_segment_sum"]], "vorbis_window() (ivy.data_classes.container.experimental.creation._containerwithcreationexperimental method)": [[75, "ivy.data_classes.container.experimental.creation._ContainerWithCreationExperimental.vorbis_window"]], "vsplit() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.vsplit"]], "vstack() (ivy.data_classes.container.experimental.manipulation._containerwithmanipulationexperimental method)": [[75, "ivy.data_classes.container.experimental.manipulation._ContainerWithManipulationExperimental.vstack"]], "xlogy() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.xlogy"]], "zeta() (ivy.data_classes.container.experimental.elementwise._containerwithelementwiseexperimental method)": [[75, "ivy.data_classes.container.experimental.elementwise._ContainerWithElementWiseExperimental.zeta"]], "_containerwithgeneral (class in ivy.data_classes.container.general)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral"]], "_abc_impl (ivy.data_classes.container.general._containerwithgeneral attribute)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._abc_impl"]], "_static_all_equal() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_all_equal"]], "_static_array_equal() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_array_equal"]], "_static_assert_supports_inplace() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_assert_supports_inplace"]], "_static_clip_matrix_norm() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_clip_matrix_norm"]], "_static_clip_vector_norm() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_clip_vector_norm"]], "_static_einops_rearrange() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_rearrange"]], "_static_einops_reduce() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_reduce"]], "_static_einops_repeat() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_einops_repeat"]], "_static_exists() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_exists"]], "_static_fourier_encode() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_fourier_encode"]], "_static_gather() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_gather"]], "_static_gather_nd() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_gather_nd"]], "_static_get_num_dims() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_get_num_dims"]], "_static_has_nans() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_has_nans"]], "_static_inplace_decrement() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_decrement"]], "_static_inplace_increment() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_increment"]], "_static_inplace_update() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_inplace_update"]], "_static_is_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_array"]], "_static_is_ivy_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_ivy_array"]], "_static_is_native_array() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_is_native_array"]], "_static_scatter_flat() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_scatter_flat"]], "_static_scatter_nd() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_scatter_nd"]], "_static_stable_divide() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_stable_divide"]], "_static_stable_pow() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_stable_pow"]], "_static_supports_inplace_updates() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_supports_inplace_updates"]], "_static_to_list() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_list"]], "_static_to_numpy() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_numpy"]], "_static_to_scalar() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_to_scalar"]], "_static_value_is_nan() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral._static_value_is_nan"]], "all_equal() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.all_equal"]], "array_equal() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.array_equal"]], "assert_supports_inplace() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.assert_supports_inplace"]], "clip_matrix_norm() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.clip_matrix_norm"]], "clip_vector_norm() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.clip_vector_norm"]], "einops_rearrange() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_rearrange"]], "einops_reduce() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_reduce"]], "einops_repeat() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.einops_repeat"]], "exists() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.exists"]], "fourier_encode() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.fourier_encode"]], "gather() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.gather"]], "gather_nd() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.gather_nd"]], "get_num_dims() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.get_num_dims"]], "has_nans() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.has_nans"]], "inplace_decrement() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_decrement"]], "inplace_increment() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_increment"]], "inplace_update() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.inplace_update"]], "is_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_array"]], "is_ivy_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_ivy_array"]], "is_native_array() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.is_native_array"]], "isin() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.isin"]], "itemsize() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.itemsize"]], "ivy.data_classes.container.general": [[76, "module-ivy.data_classes.container.general"]], "scatter_flat() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.scatter_flat"]], "scatter_nd() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.scatter_nd"]], "stable_divide() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.stable_divide"]], "stable_pow() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.stable_pow"]], "static_isin() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_isin"]], "static_itemsize() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_itemsize"]], "static_strides() (ivy.data_classes.container.general._containerwithgeneral static method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.static_strides"]], "strides() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.strides"]], "supports_inplace_updates() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.supports_inplace_updates"]], "to_list() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_list"]], "to_numpy() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_numpy"]], "to_scalar() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.to_scalar"]], "value_is_nan() (ivy.data_classes.container.general._containerwithgeneral method)": [[76, "ivy.data_classes.container.general._ContainerWithGeneral.value_is_nan"]], "_containerwithgradients (class in ivy.data_classes.container.gradients)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients"]], "_abc_impl (ivy.data_classes.container.gradients._containerwithgradients attribute)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients._abc_impl"]], "_static_stop_gradient() (ivy.data_classes.container.gradients._containerwithgradients static method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients._static_stop_gradient"]], "adam_step() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.adam_step"]], "adam_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.adam_update"]], "gradient_descent_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.gradient_descent_update"]], "ivy.data_classes.container.gradients": [[77, "module-ivy.data_classes.container.gradients"]], "lamb_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.lamb_update"]], "lars_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.lars_update"]], "optimizer_update() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.optimizer_update"]], "stop_gradient() (ivy.data_classes.container.gradients._containerwithgradients method)": [[77, "ivy.data_classes.container.gradients._ContainerWithGradients.stop_gradient"]], "_containerwithimage (class in ivy.data_classes.container.image)": [[78, "ivy.data_classes.container.image._ContainerWithImage"]], "_abc_impl (ivy.data_classes.container.image._containerwithimage attribute)": [[78, "ivy.data_classes.container.image._ContainerWithImage._abc_impl"]], "ivy.data_classes.container.image": [[78, "module-ivy.data_classes.container.image"]], "_containerwithlayers (class in ivy.data_classes.container.layers)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers"]], "_abc_impl (ivy.data_classes.container.layers._containerwithlayers attribute)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._abc_impl"]], "_static_conv1d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv1d"]], "_static_conv1d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv1d_transpose"]], "_static_conv2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv2d"]], "_static_conv2d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv2d_transpose"]], "_static_conv3d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv3d"]], "_static_conv3d_transpose() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_conv3d_transpose"]], "_static_depthwise_conv2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_depthwise_conv2d"]], "_static_dropout() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout"]], "_static_dropout1d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout1d"]], "_static_dropout2d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout2d"]], "_static_dropout3d() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_dropout3d"]], "_static_linear() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_linear"]], "_static_lstm_update() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_lstm_update"]], "_static_multi_head_attention() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_multi_head_attention"]], "_static_reduce_window() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_reduce_window"]], "_static_scaled_dot_product_attention() (ivy.data_classes.container.layers._containerwithlayers static method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers._static_scaled_dot_product_attention"]], "conv1d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv1d"]], "conv1d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv1d_transpose"]], "conv2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv2d"]], "conv2d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv2d_transpose"]], "conv3d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv3d"]], "conv3d_transpose() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.conv3d_transpose"]], "depthwise_conv2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.depthwise_conv2d"]], "dropout() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout"]], "dropout1d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout1d"]], "dropout2d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout2d"]], "dropout3d() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.dropout3d"]], "ivy.data_classes.container.layers": [[79, "module-ivy.data_classes.container.layers"]], "linear() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.linear"]], "lstm_update() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.lstm_update"]], "multi_head_attention() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.multi_head_attention"]], "reduce_window() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.reduce_window"]], "scaled_dot_product_attention() (ivy.data_classes.container.layers._containerwithlayers method)": [[79, "ivy.data_classes.container.layers._ContainerWithLayers.scaled_dot_product_attention"]], "_containerwithlinearalgebra (class in ivy.data_classes.container.linear_algebra)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra"]], "_abc_impl (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra attribute)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._abc_impl"]], "_static_cholesky() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_cholesky"]], "_static_cross() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_cross"]], "_static_det() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_det"]], "_static_diag() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_diag"]], "_static_diagonal() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_diagonal"]], "_static_eigh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_eigh"]], "_static_eigvalsh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_eigvalsh"]], "_static_inner() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_inner"]], "_static_inv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_inv"]], "_static_matmul() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matmul"]], "_static_matrix_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_norm"]], "_static_matrix_power() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_power"]], "_static_matrix_rank() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_rank"]], "_static_matrix_transpose() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_matrix_transpose"]], "_static_outer() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_outer"]], "_static_pinv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_pinv"]], "_static_qr() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_qr"]], "_static_slogdet() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_slogdet"]], "_static_solve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_solve"]], "_static_svd() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_svd"]], "_static_svdvals() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_svdvals"]], "_static_tensordot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_tensordot"]], "_static_tensorsolve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_tensorsolve"]], "_static_trace() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_trace"]], "_static_vander() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vander"]], "_static_vecdot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vecdot"]], "_static_vector_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vector_norm"]], "_static_vector_to_skew_symmetric_matrix() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra._static_vector_to_skew_symmetric_matrix"]], "cholesky() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.cholesky"]], "cross() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.cross"]], "det() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.det"]], "diag() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.diag"]], "diagonal() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.diagonal"]], "eigh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.eigh"]], "eigvalsh() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.eigvalsh"]], "general_inner_product() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.general_inner_product"]], "inner() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.inner"]], "inv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.inv"]], "ivy.data_classes.container.linear_algebra": [[80, "module-ivy.data_classes.container.linear_algebra"]], "matmul() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matmul"]], "matrix_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_norm"]], "matrix_power() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_power"]], "matrix_rank() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_rank"]], "matrix_transpose() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.matrix_transpose"]], "outer() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.outer"]], "pinv() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.pinv"]], "qr() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.qr"]], "slogdet() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.slogdet"]], "solve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.solve"]], "static_general_inner_product() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra static method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.static_general_inner_product"]], "svd() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.svd"]], "svdvals() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.svdvals"]], "tensordot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.tensordot"]], "tensorsolve() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.tensorsolve"]], "trace() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.trace"]], "vander() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vander"]], "vecdot() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vecdot"]], "vector_norm() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.data_classes.container.linear_algebra._containerwithlinearalgebra method)": [[80, "ivy.data_classes.container.linear_algebra._ContainerWithLinearAlgebra.vector_to_skew_symmetric_matrix"]], "_containerwithlosses (class in ivy.data_classes.container.losses)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses"]], "_abc_impl (ivy.data_classes.container.losses._containerwithlosses attribute)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._abc_impl"]], "_static_binary_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_binary_cross_entropy"]], "_static_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_cross_entropy"]], "_static_sparse_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses static method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses._static_sparse_cross_entropy"]], "binary_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.binary_cross_entropy"]], "cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.cross_entropy"]], "ivy.data_classes.container.losses": [[81, "module-ivy.data_classes.container.losses"]], "sparse_cross_entropy() (ivy.data_classes.container.losses._containerwithlosses method)": [[81, "ivy.data_classes.container.losses._ContainerWithLosses.sparse_cross_entropy"]], "_containerwithmanipulation (class in ivy.data_classes.container.manipulation)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation"]], "_abc_impl (ivy.data_classes.container.manipulation._containerwithmanipulation attribute)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._abc_impl"]], "_static_clip() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_clip"]], "_static_concat() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_concat"]], "_static_constant_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_constant_pad"]], "_static_expand_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_expand_dims"]], "_static_flip() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_flip"]], "_static_permute_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_permute_dims"]], "_static_repeat() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_repeat"]], "_static_reshape() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_reshape"]], "_static_roll() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_roll"]], "_static_split() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_split"]], "_static_squeeze() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_squeeze"]], "_static_stack() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_stack"]], "_static_swapaxes() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_swapaxes"]], "_static_tile() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_tile"]], "_static_unstack() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_unstack"]], "_static_zero_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation static method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation._static_zero_pad"]], "clip() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.clip"]], "concat() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.concat"]], "constant_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.constant_pad"]], "expand_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.expand_dims"]], "flip() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.flip"]], "ivy.data_classes.container.manipulation": [[82, "module-ivy.data_classes.container.manipulation"]], "permute_dims() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.permute_dims"]], "repeat() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.repeat"]], "reshape() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.reshape"]], "roll() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.roll"]], "split() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.split"]], "squeeze() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.squeeze"]], "stack() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.stack"]], "swapaxes() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.swapaxes"]], "tile() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.tile"]], "unstack() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.unstack"]], "zero_pad() (ivy.data_classes.container.manipulation._containerwithmanipulation method)": [[82, "ivy.data_classes.container.manipulation._ContainerWithManipulation.zero_pad"]], "_containerwithnorms (class in ivy.data_classes.container.norms)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms"]], "_abc_impl (ivy.data_classes.container.norms._containerwithnorms attribute)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms._abc_impl"]], "ivy.data_classes.container.norms": [[83, "module-ivy.data_classes.container.norms"]], "layer_norm() (ivy.data_classes.container.norms._containerwithnorms method)": [[83, "ivy.data_classes.container.norms._ContainerWithNorms.layer_norm"]], "_containerwithrandom (class in ivy.data_classes.container.random)": [[84, "ivy.data_classes.container.random._ContainerWithRandom"]], "_abc_impl (ivy.data_classes.container.random._containerwithrandom attribute)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._abc_impl"]], "_static_multinomial() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_multinomial"]], "_static_randint() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_randint"]], "_static_random_normal() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_random_normal"]], "_static_random_uniform() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_random_uniform"]], "_static_shuffle() (ivy.data_classes.container.random._containerwithrandom static method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom._static_shuffle"]], "ivy.data_classes.container.random": [[84, "module-ivy.data_classes.container.random"]], "multinomial() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.multinomial"]], "randint() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.randint"]], "random_normal() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.random_normal"]], "random_uniform() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.random_uniform"]], "shuffle() (ivy.data_classes.container.random._containerwithrandom method)": [[84, "ivy.data_classes.container.random._ContainerWithRandom.shuffle"]], "_containerwithsearching (class in ivy.data_classes.container.searching)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching"]], "_abc_impl (ivy.data_classes.container.searching._containerwithsearching attribute)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._abc_impl"]], "_static_argmax() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argmax"]], "_static_argmin() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argmin"]], "_static_argwhere() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_argwhere"]], "_static_nonzero() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_nonzero"]], "_static_where() (ivy.data_classes.container.searching._containerwithsearching static method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching._static_where"]], "argmax() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argmax"]], "argmin() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argmin"]], "argwhere() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.argwhere"]], "ivy.data_classes.container.searching": [[85, "module-ivy.data_classes.container.searching"]], "nonzero() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.nonzero"]], "where() (ivy.data_classes.container.searching._containerwithsearching method)": [[85, "ivy.data_classes.container.searching._ContainerWithSearching.where"]], "_containerwithset (class in ivy.data_classes.container.set)": [[86, "ivy.data_classes.container.set._ContainerWithSet"]], "_abc_impl (ivy.data_classes.container.set._containerwithset attribute)": [[86, "ivy.data_classes.container.set._ContainerWithSet._abc_impl"]], "_static_unique_all() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_all"]], "_static_unique_counts() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_counts"]], "_static_unique_inverse() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_inverse"]], "_static_unique_values() (ivy.data_classes.container.set._containerwithset static method)": [[86, "ivy.data_classes.container.set._ContainerWithSet._static_unique_values"]], "ivy.data_classes.container.set": [[86, "module-ivy.data_classes.container.set"]], "unique_all() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_all"]], "unique_counts() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_counts"]], "unique_inverse() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_inverse"]], "unique_values() (ivy.data_classes.container.set._containerwithset method)": [[86, "ivy.data_classes.container.set._ContainerWithSet.unique_values"]], "_containerwithsorting (class in ivy.data_classes.container.sorting)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting"]], "_abc_impl (ivy.data_classes.container.sorting._containerwithsorting attribute)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._abc_impl"]], "_static_argsort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_argsort"]], "_static_searchsorted() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_searchsorted"]], "_static_sort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting._static_sort"]], "argsort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.argsort"]], "ivy.data_classes.container.sorting": [[87, "module-ivy.data_classes.container.sorting"]], "msort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.msort"]], "searchsorted() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.searchsorted"]], "sort() (ivy.data_classes.container.sorting._containerwithsorting method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.sort"]], "static_msort() (ivy.data_classes.container.sorting._containerwithsorting static method)": [[87, "ivy.data_classes.container.sorting._ContainerWithSorting.static_msort"]], "_containerwithstatistical (class in ivy.data_classes.container.statistical)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical"]], "_abc_impl (ivy.data_classes.container.statistical._containerwithstatistical attribute)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._abc_impl"]], "_static_cumprod() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_cumprod"]], "_static_cumsum() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_cumsum"]], "_static_min() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_min"]], "_static_prod() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_prod"]], "_static_sum() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_sum"]], "_static_var() (ivy.data_classes.container.statistical._containerwithstatistical static method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical._static_var"]], "cumprod() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.cumprod"]], "cumsum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.cumsum"]], "einsum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.einsum"]], "ivy.data_classes.container.statistical": [[88, "module-ivy.data_classes.container.statistical"]], "max() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.max"]], "mean() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.mean"]], "min() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.min"]], "prod() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.prod"]], "std() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.std"]], "sum() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.sum"]], "var() (ivy.data_classes.container.statistical._containerwithstatistical method)": [[88, "ivy.data_classes.container.statistical._ContainerWithStatistical.var"]], "_containerwithutility (class in ivy.data_classes.container.utility)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility"]], "_abc_impl (ivy.data_classes.container.utility._containerwithutility attribute)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._abc_impl"]], "_static_all() (ivy.data_classes.container.utility._containerwithutility static method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._static_all"]], "_static_any() (ivy.data_classes.container.utility._containerwithutility static method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility._static_any"]], "all() (ivy.data_classes.container.utility._containerwithutility method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility.all"]], "any() (ivy.data_classes.container.utility._containerwithutility method)": [[89, "ivy.data_classes.container.utility._ContainerWithUtility.any"]], "ivy.data_classes.container.utility": [[89, "module-ivy.data_classes.container.utility"]], "_wrap_function() (in module ivy.data_classes.container.wrapping)": [[90, "ivy.data_classes.container.wrapping._wrap_function"]], "add_ivy_container_instance_methods() (in module ivy.data_classes.container.wrapping)": [[90, "ivy.data_classes.container.wrapping.add_ivy_container_instance_methods"]], "ivy.data_classes.container.wrapping": [[90, "module-ivy.data_classes.container.wrapping"]], "factorizedtensor (class in ivy.data_classes.factorized_tensor.base)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor"]], "__init__() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.base.factorizedtensor attribute)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor._abc_impl"]], "ivy.data_classes.factorized_tensor.base": [[91, "module-ivy.data_classes.factorized_tensor.base"]], "mode_dot() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.mode_dot"]], "norm() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.norm"]], "to_tensor() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.base.factorizedtensor method)": [[91, "ivy.data_classes.factorized_tensor.base.FactorizedTensor.to_vec"]], "cptensor (class in ivy.data_classes.factorized_tensor.cp_tensor)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor"]], "__init__() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.cp_tensor.cptensor attribute)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor._abc_impl"]], "cp_copy() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_copy"]], "cp_flip_sign() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_flip_sign"]], "cp_lstsq_grad() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_lstsq_grad"]], "cp_mode_dot() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_mode_dot"]], "cp_n_param() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_n_param"]], "cp_norm() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_norm"]], "cp_normalize() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_normalize"]], "cp_to_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_tensor"]], "cp_to_unfolded() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_unfolded"]], "cp_to_vec() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.cp_to_vec"]], "ivy.data_classes.factorized_tensor.cp_tensor": [[92, "module-ivy.data_classes.factorized_tensor.cp_tensor"]], "mode_dot() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.mode_dot"]], "n_param (ivy.data_classes.factorized_tensor.cp_tensor.cptensor property)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.n_param"]], "norm() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.norm"]], "normalize() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.normalize"]], "to_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.to_vec"]], "unfolding_dot_khatri_rao() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.unfolding_dot_khatri_rao"]], "validate_cp_rank() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.validate_cp_rank"]], "validate_cp_tensor() (ivy.data_classes.factorized_tensor.cp_tensor.cptensor static method)": [[92, "ivy.data_classes.factorized_tensor.cp_tensor.CPTensor.validate_cp_tensor"]], "parafac2tensor (class in ivy.data_classes.factorized_tensor.parafac2_tensor)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor"]], "__init__() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor attribute)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor._abc_impl"]], "apply_parafac2_projections() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.apply_parafac2_projections"]], "from_cptensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor class method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.from_CPTensor"]], "ivy.data_classes.factorized_tensor.parafac2_tensor": [[93, "module-ivy.data_classes.factorized_tensor.parafac2_tensor"]], "n_param (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor property)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.n_param"]], "parafac2_normalise() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_normalise"]], "parafac2_to_slice() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_slice"]], "parafac2_to_slices() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_slices"]], "parafac2_to_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_tensor"]], "parafac2_to_unfolded() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_unfolded"]], "parafac2_to_vec() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.parafac2_to_vec"]], "to_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.to_vec"]], "validate_parafac2_tensor() (ivy.data_classes.factorized_tensor.parafac2_tensor.parafac2tensor static method)": [[93, "ivy.data_classes.factorized_tensor.parafac2_tensor.Parafac2Tensor.validate_parafac2_tensor"]], "trtensor (class in ivy.data_classes.factorized_tensor.tr_tensor)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tr_tensor.trtensor attribute)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor._abc_impl"]], "ivy.data_classes.factorized_tensor.tr_tensor": [[94, "module-ivy.data_classes.factorized_tensor.tr_tensor"]], "n_param (ivy.data_classes.factorized_tensor.tr_tensor.trtensor property)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.n_param"]], "to_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.to_vec"]], "tr_n_param() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_n_param"]], "tr_to_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_tensor"]], "tr_to_unfolded() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_unfolded"]], "tr_to_vec() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.tr_to_vec"]], "validate_tr_rank() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.validate_tr_rank"]], "validate_tr_tensor() (ivy.data_classes.factorized_tensor.tr_tensor.trtensor static method)": [[94, "ivy.data_classes.factorized_tensor.tr_tensor.TRTensor.validate_tr_tensor"]], "tttensor (class in ivy.data_classes.factorized_tensor.tt_tensor)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tt_tensor.tttensor attribute)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor._abc_impl"]], "_tt_n_param() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor._tt_n_param"]], "index_update() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.index_update"]], "ivy.data_classes.factorized_tensor.tt_tensor": [[95, "module-ivy.data_classes.factorized_tensor.tt_tensor"]], "n_param (ivy.data_classes.factorized_tensor.tt_tensor.tttensor property)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.n_param"]], "pad_tt_rank() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.pad_tt_rank"]], "to_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_tensor"]], "to_unfolding() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_unfolding"]], "to_vec() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.to_vec"]], "tt_to_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_tensor"]], "tt_to_unfolded() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_unfolded"]], "tt_to_vec() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.tt_to_vec"]], "validate_tt_rank() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.validate_tt_rank"]], "validate_tt_tensor() (ivy.data_classes.factorized_tensor.tt_tensor.tttensor static method)": [[95, "ivy.data_classes.factorized_tensor.tt_tensor.TTTensor.validate_tt_tensor"]], "tuckertensor (class in ivy.data_classes.factorized_tensor.tucker_tensor)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor"]], "__init__() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.__init__"]], "_abc_impl (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor attribute)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor._abc_impl"]], "_bisection_root_finder() (in module ivy.data_classes.factorized_tensor.tucker_tensor)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor._bisection_root_finder"]], "ivy.data_classes.factorized_tensor.tucker_tensor": [[96, "module-ivy.data_classes.factorized_tensor.tucker_tensor"]], "mode_dot() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.mode_dot"]], "n_param (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor property)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.n_param"]], "to_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_tensor"]], "to_unfolded() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_unfolded"]], "to_vec() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.to_vec"]], "tucker_copy() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_copy"]], "tucker_mode_dot() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_mode_dot"]], "tucker_n_param() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_n_param"]], "tucker_normalize() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_normalize"]], "tucker_to_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_tensor"]], "tucker_to_unfolded() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_unfolded"]], "tucker_to_vec() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.tucker_to_vec"]], "validate_tucker_rank() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.validate_tucker_rank"]], "validate_tucker_tensor() (ivy.data_classes.factorized_tensor.tucker_tensor.tuckertensor static method)": [[96, "ivy.data_classes.factorized_tensor.tucker_tensor.TuckerTensor.validate_tucker_tensor"]], "array (class in ivy.data_classes.array.array)": [[97, "ivy.data_classes.array.array.Array"]], "t (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.T"]], "__abs__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__abs__"]], "__add__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__add__"]], "__eq__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__eq__"]], "__ge__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__ge__"]], "__gt__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__gt__"]], "__init__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__init__"]], "__le__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__le__"]], "__lt__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__lt__"]], "__ne__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__ne__"]], "__pow__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__pow__"]], "__radd__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__radd__"]], "__rrshift__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rrshift__"]], "__rshift__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rshift__"]], "__rsub__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__rsub__"]], "__sub__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__sub__"]], "__truediv__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__truediv__"]], "__xor__() (ivy.data_classes.array.array.array method)": [[97, "ivy.data_classes.array.array.Array.__xor__"]], "backend (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.backend"]], "base (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.base"]], "data (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.data"]], "device (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.device"]], "dtype (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.dtype"]], "dynamic_backend (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.dynamic_backend"]], "imag (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.imag"]], "itemsize (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.itemsize"]], "ivy.data_classes.array.array": [[97, "module-ivy.data_classes.array.array"]], "mt (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.mT"]], "ndim (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.ndim"]], "real (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.real"]], "shape (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.shape"]], "size (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.size"]], "strides (ivy.data_classes.array.array.array property)": [[97, "ivy.data_classes.array.array.Array.strides"]], "container (class in ivy.data_classes.container.container)": [[98, "ivy.data_classes.container.container.Container"]], "__abs__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__abs__"]], "__add__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__add__"]], "__eq__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__eq__"]], "__ge__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__ge__"]], "__gt__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__gt__"]], "__init__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__init__"]], "__le__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__le__"]], "__lt__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__lt__"]], "__ne__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__ne__"]], "__pow__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__pow__"]], "__radd__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__radd__"]], "__rrshift__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rrshift__"]], "__rshift__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rshift__"]], "__rsub__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__rsub__"]], "__sub__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__sub__"]], "__truediv__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__truediv__"]], "__xor__() (ivy.data_classes.container.container.container method)": [[98, "ivy.data_classes.container.container.Container.__xor__"]], "ivy.data_classes.container.container": [[98, "module-ivy.data_classes.container.container"]], "nestedarray (class in ivy.data_classes.nested_array.nested_array)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray"]], "__init__() (ivy.data_classes.nested_array.nested_array.nestedarray method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.__init__"]], "from_row_lengths() (ivy.data_classes.nested_array.nested_array.nestedarray class method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.from_row_lengths"]], "from_row_splits() (ivy.data_classes.nested_array.nested_array.nestedarray class method)": [[100, "ivy.data_classes.nested_array.nested_array.NestedArray.from_row_splits"]], "ivy.data_classes.nested_array.nested_array": [[100, "module-ivy.data_classes.nested_array.nested_array"]], "nestedarraybase (class in ivy.data_classes.nested_array.base)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase"]], "__init__() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.__init__"]], "_abc_impl (ivy.data_classes.nested_array.base.nestedarraybase attribute)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase._abc_impl"]], "broadcast_shapes() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.broadcast_shapes"]], "data (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.data"]], "device (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.device"]], "dtype (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.dtype"]], "inner_shape (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.inner_shape"]], "ivy.data_classes.nested_array.base": [[101, "module-ivy.data_classes.nested_array.base"]], "ndim (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ndim"]], "nested_array() (ivy.data_classes.nested_array.base.nestedarraybase class method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.nested_array"]], "nested_rank (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.nested_rank"]], "ragged_map() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_map"]], "ragged_multi_map() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_multi_map"]], "ragged_multi_map_in_function() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.ragged_multi_map_in_function"]], "replace_ivy_arrays() (ivy.data_classes.nested_array.base.nestedarraybase static method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.replace_ivy_arrays"]], "shape (ivy.data_classes.nested_array.base.nestedarraybase property)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.shape"]], "unbind() (ivy.data_classes.nested_array.base.nestedarraybase method)": [[101, "ivy.data_classes.nested_array.base.NestedArrayBase.unbind"]], "nestedarrayelementwise (class in ivy.data_classes.nested_array.elementwise)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise"]], "_abc_impl (ivy.data_classes.nested_array.elementwise.nestedarrayelementwise attribute)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise._abc_impl"]], "ivy.data_classes.nested_array.elementwise": [[102, "module-ivy.data_classes.nested_array.elementwise"]], "static_add() (ivy.data_classes.nested_array.elementwise.nestedarrayelementwise static method)": [[102, "ivy.data_classes.nested_array.elementwise.NestedArrayElementwise.static_add"]], "gelu() (in module ivy)": [[105, "ivy.gelu"], [613, "ivy.gelu"]], "gelu() (ivy.array method)": [[105, "ivy.Array.gelu"]], "gelu() (ivy.container method)": [[105, "ivy.Container.gelu"]], "hardswish() (in module ivy)": [[106, "ivy.hardswish"], [613, "ivy.hardswish"]], "hardswish() (ivy.array method)": [[106, "ivy.Array.hardswish"]], "hardswish() (ivy.container method)": [[106, "ivy.Container.hardswish"]], "leaky_relu() (in module ivy)": [[107, "ivy.leaky_relu"], [613, "ivy.leaky_relu"]], "leaky_relu() (ivy.array method)": [[107, "ivy.Array.leaky_relu"]], "leaky_relu() (ivy.container method)": [[107, "ivy.Container.leaky_relu"]], "log_softmax() (in module ivy)": [[108, "ivy.log_softmax"], [613, "ivy.log_softmax"]], "log_softmax() (ivy.array method)": [[108, "ivy.Array.log_softmax"]], "log_softmax() (ivy.container method)": [[108, "ivy.Container.log_softmax"]], "mish() (in module ivy)": [[109, "ivy.mish"], [613, "ivy.mish"]], "mish() (ivy.array method)": [[109, "ivy.Array.mish"]], "mish() (ivy.container method)": [[109, "ivy.Container.mish"]], "relu() (in module ivy)": [[110, "ivy.relu"], [613, "ivy.relu"]], "relu() (ivy.array method)": [[110, "ivy.Array.relu"]], "relu() (ivy.container method)": [[110, "ivy.Container.relu"]], "sigmoid() (in module ivy)": [[111, "ivy.sigmoid"], [613, "ivy.sigmoid"]], "sigmoid() (ivy.array method)": [[111, "ivy.Array.sigmoid"]], "sigmoid() (ivy.container method)": [[111, "ivy.Container.sigmoid"]], "softmax() (in module ivy)": [[112, "ivy.softmax"], [613, "ivy.softmax"]], "softmax() (ivy.array method)": [[112, "ivy.Array.softmax"]], "softmax() (ivy.container method)": [[112, "ivy.Container.softmax"]], "softplus() (in module ivy)": [[113, "ivy.softplus"], [613, "ivy.softplus"]], "softplus() (ivy.array method)": [[113, "ivy.Array.softplus"]], "softplus() (ivy.container method)": [[113, "ivy.Container.softplus"]], "softsign() (in module ivy)": [[114, "ivy.softsign"], [613, "ivy.softsign"]], "cmp_is() (in module ivy)": [[115, "ivy.cmp_is"], [615, "ivy.cmp_is"]], "cmp_isnot() (in module ivy)": [[116, "ivy.cmp_isnot"], [615, "ivy.cmp_isnot"]], "for_loop() (in module ivy)": [[117, "ivy.for_loop"], [615, "ivy.for_loop"]], "if_else() (in module ivy)": [[118, "ivy.if_else"], [615, "ivy.if_else"]], "try_except() (in module ivy)": [[119, "ivy.try_except"], [615, "ivy.try_except"]], "while_loop() (in module ivy)": [[120, "ivy.while_loop"], [615, "ivy.while_loop"]], "arange() (in module ivy)": [[121, "ivy.arange"], [616, "ivy.arange"]], "array() (in module ivy)": [[122, "ivy.array"], [616, "ivy.array"]], "asarray() (in module ivy)": [[123, "ivy.asarray"], [616, "ivy.asarray"]], "asarray() (ivy.array method)": [[123, "ivy.Array.asarray"]], "asarray() (ivy.container method)": [[123, "ivy.Container.asarray"]], "copy_array() (in module ivy)": [[124, "ivy.copy_array"], [616, "ivy.copy_array"]], "copy_array() (ivy.array method)": [[124, "ivy.Array.copy_array"]], "copy_array() (ivy.container method)": [[124, "ivy.Container.copy_array"]], "empty() (in module ivy)": [[125, "ivy.empty"], [616, "ivy.empty"]], "empty_like() (in module ivy)": [[126, "ivy.empty_like"], [616, "ivy.empty_like"]], "empty_like() (ivy.array method)": [[126, "ivy.Array.empty_like"]], "empty_like() (ivy.container method)": [[126, "ivy.Container.empty_like"]], "eye() (in module ivy)": [[127, "ivy.eye"], [616, "ivy.eye"]], "from_dlpack() (in module ivy)": [[128, "ivy.from_dlpack"], [616, "ivy.from_dlpack"]], "from_dlpack() (ivy.array method)": [[128, "ivy.Array.from_dlpack"]], "from_dlpack() (ivy.container method)": [[128, "ivy.Container.from_dlpack"]], "frombuffer() (in module ivy)": [[129, "ivy.frombuffer"], [616, "ivy.frombuffer"]], "frombuffer() (ivy.container method)": [[129, "ivy.Container.frombuffer"]], "full() (in module ivy)": [[130, "ivy.full"], [616, "ivy.full"]], "full_like() (in module ivy)": [[131, "ivy.full_like"], [616, "ivy.full_like"]], "full_like() (ivy.array method)": [[131, "ivy.Array.full_like"]], "full_like() (ivy.container method)": [[131, "ivy.Container.full_like"]], "linspace() (in module ivy)": [[132, "ivy.linspace"], [616, "ivy.linspace"]], "linspace() (ivy.array method)": [[132, "ivy.Array.linspace"]], "linspace() (ivy.container method)": [[132, "ivy.Container.linspace"]], "logspace() (in module ivy)": [[133, "ivy.logspace"], [616, "ivy.logspace"]], "logspace() (ivy.array method)": [[133, "ivy.Array.logspace"]], "logspace() (ivy.container method)": [[133, "ivy.Container.logspace"]], "meshgrid() (in module ivy)": [[134, "ivy.meshgrid"], [616, "ivy.meshgrid"]], "meshgrid() (ivy.array method)": [[134, "ivy.Array.meshgrid"]], "meshgrid() (ivy.container method)": [[134, "ivy.Container.meshgrid"]], "native_array() (in module ivy)": [[135, "ivy.native_array"], [616, "ivy.native_array"]], "native_array() (ivy.array method)": [[135, "ivy.Array.native_array"]], "native_array() (ivy.container method)": [[135, "ivy.Container.native_array"]], "one_hot() (in module ivy)": [[136, "ivy.one_hot"], [616, "ivy.one_hot"]], "one_hot() (ivy.array method)": [[136, "ivy.Array.one_hot"]], "one_hot() (ivy.container method)": [[136, "ivy.Container.one_hot"]], "ones() (in module ivy)": [[137, "ivy.ones"], [616, "ivy.ones"]], "ones_like() (in module ivy)": [[138, "ivy.ones_like"], [616, "ivy.ones_like"]], "ones_like() (ivy.array method)": [[138, "ivy.Array.ones_like"]], "ones_like() (ivy.container method)": [[138, "ivy.Container.ones_like"]], "to_dlpack() (in module ivy)": [[139, "ivy.to_dlpack"], [616, "ivy.to_dlpack"]], "tril() (in module ivy)": [[140, "ivy.tril"], [616, "ivy.tril"]], "tril() (ivy.array method)": [[140, "ivy.Array.tril"]], "tril() (ivy.container method)": [[140, "ivy.Container.tril"]], "triu() (in module ivy)": [[141, "ivy.triu"], [616, "ivy.triu"]], "triu() (ivy.array method)": [[141, "ivy.Array.triu"]], "triu() (ivy.container method)": [[141, "ivy.Container.triu"]], "triu_indices() (in module ivy)": [[142, "ivy.triu_indices"], [616, "ivy.triu_indices"]], "triu_indices() (ivy.container method)": [[142, "ivy.Container.triu_indices"]], "zeros() (in module ivy)": [[143, "ivy.zeros"], [616, "ivy.zeros"]], "zeros_like() (in module ivy)": [[144, "ivy.zeros_like"], [616, "ivy.zeros_like"]], "zeros_like() (ivy.array method)": [[144, "ivy.Array.zeros_like"]], "zeros_like() (ivy.container method)": [[144, "ivy.Container.zeros_like"]], "as_ivy_dtype() (in module ivy)": [[145, "ivy.as_ivy_dtype"], [617, "ivy.as_ivy_dtype"]], "as_native_dtype() (in module ivy)": [[146, "ivy.as_native_dtype"], [617, "ivy.as_native_dtype"]], "astype() (in module ivy)": [[147, "ivy.astype"], [617, "ivy.astype"]], "astype() (ivy.array method)": [[147, "ivy.Array.astype"]], "astype() (ivy.container method)": [[147, "ivy.Container.astype"]], "broadcast_arrays() (in module ivy)": [[148, "ivy.broadcast_arrays"], [617, "ivy.broadcast_arrays"]], "broadcast_arrays() (ivy.array method)": [[148, "ivy.Array.broadcast_arrays"]], "broadcast_arrays() (ivy.container method)": [[148, "ivy.Container.broadcast_arrays"]], "broadcast_to() (in module ivy)": [[149, "ivy.broadcast_to"], [617, "ivy.broadcast_to"]], "broadcast_to() (ivy.array method)": [[149, "ivy.Array.broadcast_to"]], "broadcast_to() (ivy.container method)": [[149, "ivy.Container.broadcast_to"]], "can_cast() (in module ivy)": [[150, "ivy.can_cast"], [617, "ivy.can_cast"]], "can_cast() (ivy.array method)": [[150, "ivy.Array.can_cast"]], "can_cast() (ivy.container method)": [[150, "ivy.Container.can_cast"]], "check_float() (in module ivy)": [[151, "ivy.check_float"], [617, "ivy.check_float"]], "closest_valid_dtype() (in module ivy)": [[152, "ivy.closest_valid_dtype"], [617, "ivy.closest_valid_dtype"]], "default_complex_dtype() (in module ivy)": [[153, "ivy.default_complex_dtype"], [617, "ivy.default_complex_dtype"]], "default_dtype() (in module ivy)": [[154, "ivy.default_dtype"], [617, "ivy.default_dtype"]], "default_float_dtype() (in module ivy)": [[155, "ivy.default_float_dtype"], [617, "ivy.default_float_dtype"]], "default_int_dtype() (in module ivy)": [[156, "ivy.default_int_dtype"], [617, "ivy.default_int_dtype"]], "default_uint_dtype() (in module ivy)": [[157, "ivy.default_uint_dtype"], [617, "ivy.default_uint_dtype"]], "dtype() (in module ivy)": [[158, "ivy.dtype"], [617, "ivy.dtype"]], "dtype() (ivy.array method)": [[158, "ivy.Array.dtype"]], "dtype() (ivy.container method)": [[158, "ivy.Container.dtype"]], "dtype_bits() (in module ivy)": [[159, "ivy.dtype_bits"], [617, "ivy.dtype_bits"]], "finfo() (in module ivy)": [[160, "ivy.finfo"], [617, "ivy.finfo"]], "finfo() (ivy.array method)": [[160, "ivy.Array.finfo"]], "finfo() (ivy.container method)": [[160, "ivy.Container.finfo"]], "function_supported_dtypes() (in module ivy)": [[161, "ivy.function_supported_dtypes"], [617, "ivy.function_supported_dtypes"]], "function_unsupported_dtypes() (in module ivy)": [[162, "ivy.function_unsupported_dtypes"], [617, "ivy.function_unsupported_dtypes"]], "iinfo() (in module ivy)": [[163, "ivy.iinfo"], [617, "ivy.iinfo"]], "iinfo() (ivy.array method)": [[163, "ivy.Array.iinfo"]], "iinfo() (ivy.container method)": [[163, "ivy.Container.iinfo"]], "infer_default_dtype() (in module ivy)": [[164, "ivy.infer_default_dtype"], [617, "ivy.infer_default_dtype"]], "invalid_dtype() (in module ivy)": [[165, "ivy.invalid_dtype"], [617, "ivy.invalid_dtype"]], "is_bool_dtype() (in module ivy)": [[166, "ivy.is_bool_dtype"], [617, "ivy.is_bool_dtype"]], "is_bool_dtype() (ivy.array method)": [[166, "ivy.Array.is_bool_dtype"]], "is_bool_dtype() (ivy.container method)": [[166, "ivy.Container.is_bool_dtype"]], "is_complex_dtype() (in module ivy)": [[167, "ivy.is_complex_dtype"], [617, "ivy.is_complex_dtype"]], "is_complex_dtype() (ivy.container method)": [[167, "ivy.Container.is_complex_dtype"]], "is_float_dtype() (in module ivy)": [[168, "ivy.is_float_dtype"], [617, "ivy.is_float_dtype"]], "is_float_dtype() (ivy.array method)": [[168, "ivy.Array.is_float_dtype"]], "is_float_dtype() (ivy.container method)": [[168, "ivy.Container.is_float_dtype"]], "is_hashable_dtype() (in module ivy)": [[169, "ivy.is_hashable_dtype"], [617, "ivy.is_hashable_dtype"]], "is_int_dtype() (in module ivy)": [[170, "ivy.is_int_dtype"], [617, "ivy.is_int_dtype"]], "is_int_dtype() (ivy.array method)": [[170, "ivy.Array.is_int_dtype"]], "is_int_dtype() (ivy.container method)": [[170, "ivy.Container.is_int_dtype"]], "is_native_dtype() (in module ivy)": [[171, "ivy.is_native_dtype"], [617, "ivy.is_native_dtype"]], "is_uint_dtype() (in module ivy)": [[172, "ivy.is_uint_dtype"], [617, "ivy.is_uint_dtype"]], "is_uint_dtype() (ivy.array method)": [[172, "ivy.Array.is_uint_dtype"]], "is_uint_dtype() (ivy.container method)": [[172, "ivy.Container.is_uint_dtype"]], "promote_types() (in module ivy)": [[173, "ivy.promote_types"], [617, "ivy.promote_types"]], "promote_types_of_inputs() (in module ivy)": [[174, "ivy.promote_types_of_inputs"], [617, "ivy.promote_types_of_inputs"]], "result_type() (in module ivy)": [[175, "ivy.result_type"], [617, "ivy.result_type"]], "result_type() (ivy.array method)": [[175, "ivy.Array.result_type"]], "result_type() (ivy.container method)": [[175, "ivy.Container.result_type"]], "set_default_complex_dtype() (in module ivy)": [[176, "ivy.set_default_complex_dtype"], [617, "ivy.set_default_complex_dtype"]], "set_default_dtype() (in module ivy)": [[177, "ivy.set_default_dtype"], [617, "ivy.set_default_dtype"]], "set_default_float_dtype() (in module ivy)": [[178, "ivy.set_default_float_dtype"], [617, "ivy.set_default_float_dtype"]], "set_default_int_dtype() (in module ivy)": [[179, "ivy.set_default_int_dtype"], [617, "ivy.set_default_int_dtype"]], "set_default_uint_dtype() (in module ivy)": [[180, "ivy.set_default_uint_dtype"], [617, "ivy.set_default_uint_dtype"]], "type_promote_arrays() (in module ivy)": [[181, "ivy.type_promote_arrays"], [617, "ivy.type_promote_arrays"]], "unset_default_complex_dtype() (in module ivy)": [[182, "ivy.unset_default_complex_dtype"], [617, "ivy.unset_default_complex_dtype"]], "unset_default_dtype() (in module ivy)": [[183, "ivy.unset_default_dtype"], [617, "ivy.unset_default_dtype"]], "unset_default_float_dtype() (in module ivy)": [[184, "ivy.unset_default_float_dtype"], [617, "ivy.unset_default_float_dtype"]], "unset_default_int_dtype() (in module ivy)": [[185, "ivy.unset_default_int_dtype"], [617, "ivy.unset_default_int_dtype"]], "unset_default_uint_dtype() (in module ivy)": [[186, "ivy.unset_default_uint_dtype"], [617, "ivy.unset_default_uint_dtype"]], "valid_dtype() (in module ivy)": [[187, "ivy.valid_dtype"], [617, "ivy.valid_dtype"]], "as_ivy_dev() (in module ivy)": [[188, "ivy.as_ivy_dev"], [618, "ivy.as_ivy_dev"]], "as_native_dev() (in module ivy)": [[189, "ivy.as_native_dev"], [618, "ivy.as_native_dev"]], "clear_cached_mem_on_dev() (in module ivy)": [[190, "ivy.clear_cached_mem_on_dev"], [618, "ivy.clear_cached_mem_on_dev"]], "default_device() (in module ivy)": [[191, "ivy.default_device"], [618, "ivy.default_device"]], "dev() (in module ivy)": [[192, "ivy.dev"], [618, "ivy.dev"]], "dev() (ivy.array method)": [[192, "ivy.Array.dev"]], "dev() (ivy.container method)": [[192, "ivy.Container.dev"]], "dev_util() (in module ivy)": [[193, "ivy.dev_util"], [618, "ivy.dev_util"]], "function_supported_devices() (in module ivy)": [[194, "ivy.function_supported_devices"], [618, "ivy.function_supported_devices"]], "function_unsupported_devices() (in module ivy)": [[195, "ivy.function_unsupported_devices"], [618, "ivy.function_unsupported_devices"]], "get_all_ivy_arrays_on_dev() (in module ivy)": [[196, "ivy.get_all_ivy_arrays_on_dev"], [618, "ivy.get_all_ivy_arrays_on_dev"]], "gpu_is_available() (in module ivy)": [[197, "ivy.gpu_is_available"], [618, "ivy.gpu_is_available"]], "handle_soft_device_variable() (in module ivy)": [[198, "ivy.handle_soft_device_variable"], [618, "ivy.handle_soft_device_variable"]], "num_cpu_cores() (in module ivy)": [[199, "ivy.num_cpu_cores"], [618, "ivy.num_cpu_cores"]], "num_gpus() (in module ivy)": [[200, "ivy.num_gpus"], [618, "ivy.num_gpus"]], "num_ivy_arrays_on_dev() (in module ivy)": [[201, "ivy.num_ivy_arrays_on_dev"], [618, "ivy.num_ivy_arrays_on_dev"]], "percent_used_mem_on_dev() (in module ivy)": [[202, "ivy.percent_used_mem_on_dev"], [618, "ivy.percent_used_mem_on_dev"]], "print_all_ivy_arrays_on_dev() (in module ivy)": [[203, "ivy.print_all_ivy_arrays_on_dev"], [618, "ivy.print_all_ivy_arrays_on_dev"]], "set_default_device() (in module ivy)": [[204, "ivy.set_default_device"], [618, "ivy.set_default_device"]], "set_soft_device_mode() (in module ivy)": [[205, "ivy.set_soft_device_mode"], [618, "ivy.set_soft_device_mode"]], "set_split_factor() (in module ivy)": [[206, "ivy.set_split_factor"], [618, "ivy.set_split_factor"]], "split_factor() (in module ivy)": [[207, "ivy.split_factor"], [618, "ivy.split_factor"]], "split_func_call() (in module ivy)": [[208, "ivy.split_func_call"], [618, "ivy.split_func_call"]], "to_device() (in module ivy)": [[209, "ivy.to_device"], [618, "ivy.to_device"]], "to_device() (ivy.array method)": [[209, "ivy.Array.to_device"]], "to_device() (ivy.container method)": [[209, "ivy.Container.to_device"]], "total_mem_on_dev() (in module ivy)": [[210, "ivy.total_mem_on_dev"], [618, "ivy.total_mem_on_dev"]], "tpu_is_available() (in module ivy)": [[211, "ivy.tpu_is_available"], [618, "ivy.tpu_is_available"]], "unset_default_device() (in module ivy)": [[212, "ivy.unset_default_device"], [618, "ivy.unset_default_device"]], "unset_soft_device_mode() (in module ivy)": [[213, "ivy.unset_soft_device_mode"], [618, "ivy.unset_soft_device_mode"]], "used_mem_on_dev() (in module ivy)": [[214, "ivy.used_mem_on_dev"], [618, "ivy.used_mem_on_dev"]], "abs() (in module ivy)": [[215, "ivy.abs"], [619, "ivy.abs"]], "abs() (ivy.array method)": [[215, "ivy.Array.abs"]], "abs() (ivy.container method)": [[215, "ivy.Container.abs"]], "acos() (in module ivy)": [[216, "ivy.acos"], [619, "ivy.acos"]], "acos() (ivy.array method)": [[216, "ivy.Array.acos"]], "acos() (ivy.container method)": [[216, "ivy.Container.acos"]], "acosh() (in module ivy)": [[217, "ivy.acosh"], [619, "ivy.acosh"]], "acosh() (ivy.array method)": [[217, "ivy.Array.acosh"]], "acosh() (ivy.container method)": [[217, "ivy.Container.acosh"]], "add() (in module ivy)": [[218, "ivy.add"], [619, "ivy.add"]], "add() (ivy.array method)": [[218, "ivy.Array.add"]], "add() (ivy.container method)": [[218, "ivy.Container.add"]], "angle() (in module ivy)": [[219, "ivy.angle"], [619, "ivy.angle"]], "angle() (ivy.array method)": [[219, "ivy.Array.angle"]], "angle() (ivy.container method)": [[219, "ivy.Container.angle"]], "asin() (in module ivy)": [[220, "ivy.asin"], [619, "ivy.asin"]], "asin() (ivy.array method)": [[220, "ivy.Array.asin"]], "asin() (ivy.container method)": [[220, "ivy.Container.asin"]], "asinh() (in module ivy)": [[221, "ivy.asinh"], [619, "ivy.asinh"]], "asinh() (ivy.array method)": [[221, "ivy.Array.asinh"]], "asinh() (ivy.container method)": [[221, "ivy.Container.asinh"]], "atan() (in module ivy)": [[222, "ivy.atan"], [619, "ivy.atan"]], "atan() (ivy.array method)": [[222, "ivy.Array.atan"]], "atan() (ivy.container method)": [[222, "ivy.Container.atan"]], "atan2() (in module ivy)": [[223, "ivy.atan2"], [619, "ivy.atan2"]], "atan2() (ivy.array method)": [[223, "ivy.Array.atan2"]], "atan2() (ivy.container method)": [[223, "ivy.Container.atan2"]], "atanh() (in module ivy)": [[224, "ivy.atanh"], [619, "ivy.atanh"]], "atanh() (ivy.array method)": [[224, "ivy.Array.atanh"]], "atanh() (ivy.container method)": [[224, "ivy.Container.atanh"]], "bitwise_and() (in module ivy)": [[225, "ivy.bitwise_and"], [619, "ivy.bitwise_and"]], "bitwise_and() (ivy.array method)": [[225, "ivy.Array.bitwise_and"]], "bitwise_and() (ivy.container method)": [[225, "ivy.Container.bitwise_and"]], "bitwise_invert() (in module ivy)": [[226, "ivy.bitwise_invert"], [619, "ivy.bitwise_invert"]], "bitwise_invert() (ivy.array method)": [[226, "ivy.Array.bitwise_invert"]], "bitwise_invert() (ivy.container method)": [[226, "ivy.Container.bitwise_invert"]], "bitwise_left_shift() (in module ivy)": [[227, "ivy.bitwise_left_shift"], [619, "ivy.bitwise_left_shift"]], "bitwise_left_shift() (ivy.array method)": [[227, "ivy.Array.bitwise_left_shift"]], "bitwise_left_shift() (ivy.container method)": [[227, "ivy.Container.bitwise_left_shift"]], "bitwise_or() (in module ivy)": [[228, "ivy.bitwise_or"], [619, "ivy.bitwise_or"]], "bitwise_or() (ivy.array method)": [[228, "ivy.Array.bitwise_or"]], "bitwise_or() (ivy.container method)": [[228, "ivy.Container.bitwise_or"]], "bitwise_right_shift() (in module ivy)": [[229, "ivy.bitwise_right_shift"], [619, "ivy.bitwise_right_shift"]], "bitwise_right_shift() (ivy.array method)": [[229, "ivy.Array.bitwise_right_shift"]], "bitwise_right_shift() (ivy.container method)": [[229, "ivy.Container.bitwise_right_shift"]], "bitwise_xor() (in module ivy)": [[230, "ivy.bitwise_xor"], [619, "ivy.bitwise_xor"]], "bitwise_xor() (ivy.array method)": [[230, "ivy.Array.bitwise_xor"]], "bitwise_xor() (ivy.container method)": [[230, "ivy.Container.bitwise_xor"]], "ceil() (in module ivy)": [[231, "ivy.ceil"], [619, "ivy.ceil"]], "ceil() (ivy.array method)": [[231, "ivy.Array.ceil"]], "ceil() (ivy.container method)": [[231, "ivy.Container.ceil"]], "cos() (in module ivy)": [[232, "ivy.cos"], [619, "ivy.cos"]], "cos() (ivy.array method)": [[232, "ivy.Array.cos"]], "cos() (ivy.container method)": [[232, "ivy.Container.cos"]], "cosh() (in module ivy)": [[233, "ivy.cosh"], [619, "ivy.cosh"]], "cosh() (ivy.array method)": [[233, "ivy.Array.cosh"]], "cosh() (ivy.container method)": [[233, "ivy.Container.cosh"]], "deg2rad() (in module ivy)": [[234, "ivy.deg2rad"], [619, "ivy.deg2rad"]], "deg2rad() (ivy.array method)": [[234, "ivy.Array.deg2rad"]], "deg2rad() (ivy.container method)": [[234, "ivy.Container.deg2rad"]], "divide() (in module ivy)": [[235, "ivy.divide"], [619, "ivy.divide"]], "divide() (ivy.array method)": [[235, "ivy.Array.divide"]], "divide() (ivy.container method)": [[235, "ivy.Container.divide"]], "equal() (in module ivy)": [[236, "ivy.equal"], [619, "ivy.equal"]], "equal() (ivy.array method)": [[236, "ivy.Array.equal"]], "equal() (ivy.container method)": [[236, "ivy.Container.equal"]], "erf() (in module ivy)": [[237, "ivy.erf"], [619, "ivy.erf"]], "erf() (ivy.array method)": [[237, "ivy.Array.erf"]], "erf() (ivy.container method)": [[237, "ivy.Container.erf"]], "exp() (in module ivy)": [[238, "ivy.exp"], [619, "ivy.exp"]], "exp() (ivy.array method)": [[238, "ivy.Array.exp"]], "exp() (ivy.container method)": [[238, "ivy.Container.exp"]], "exp2() (in module ivy)": [[239, "ivy.exp2"], [619, "ivy.exp2"]], "exp2() (ivy.array method)": [[239, "ivy.Array.exp2"]], "exp2() (ivy.container method)": [[239, "ivy.Container.exp2"]], "expm1() (in module ivy)": [[240, "ivy.expm1"], [619, "ivy.expm1"]], "expm1() (ivy.array method)": [[240, "ivy.Array.expm1"]], "expm1() (ivy.container method)": [[240, "ivy.Container.expm1"]], "floor() (in module ivy)": [[241, "ivy.floor"], [619, "ivy.floor"]], "floor() (ivy.array method)": [[241, "ivy.Array.floor"]], "floor() (ivy.container method)": [[241, "ivy.Container.floor"]], "floor_divide() (in module ivy)": [[242, "ivy.floor_divide"], [619, "ivy.floor_divide"]], "floor_divide() (ivy.array method)": [[242, "ivy.Array.floor_divide"]], "floor_divide() (ivy.container method)": [[242, "ivy.Container.floor_divide"]], "fmin() (in module ivy)": [[243, "ivy.fmin"], [619, "ivy.fmin"]], "fmin() (ivy.array method)": [[243, "ivy.Array.fmin"]], "fmin() (ivy.container method)": [[243, "ivy.Container.fmin"]], "fmod() (in module ivy)": [[244, "ivy.fmod"], [619, "ivy.fmod"]], "fmod() (ivy.array method)": [[244, "ivy.Array.fmod"]], "fmod() (ivy.container method)": [[244, "ivy.Container.fmod"]], "gcd() (in module ivy)": [[245, "ivy.gcd"], [619, "ivy.gcd"]], "gcd() (ivy.array method)": [[245, "ivy.Array.gcd"]], "gcd() (ivy.container method)": [[245, "ivy.Container.gcd"]], "greater() (in module ivy)": [[246, "ivy.greater"], [619, "ivy.greater"]], "greater() (ivy.array method)": [[246, "ivy.Array.greater"]], "greater() (ivy.container method)": [[246, "ivy.Container.greater"]], "greater_equal() (in module ivy)": [[247, "ivy.greater_equal"], [619, "ivy.greater_equal"]], "greater_equal() (ivy.array method)": [[247, "ivy.Array.greater_equal"]], "greater_equal() (ivy.container method)": [[247, "ivy.Container.greater_equal"]], "imag() (in module ivy)": [[248, "ivy.imag"], [619, "ivy.imag"]], "imag() (ivy.array method)": [[248, "ivy.Array.imag"]], "imag() (ivy.container method)": [[248, "ivy.Container.imag"]], "isfinite() (in module ivy)": [[249, "ivy.isfinite"], [619, "ivy.isfinite"]], "isfinite() (ivy.array method)": [[249, "ivy.Array.isfinite"]], "isfinite() (ivy.container method)": [[249, "ivy.Container.isfinite"]], "isinf() (in module ivy)": [[250, "ivy.isinf"], [619, "ivy.isinf"]], "isinf() (ivy.array method)": [[250, "ivy.Array.isinf"]], "isinf() (ivy.container method)": [[250, "ivy.Container.isinf"]], "isnan() (in module ivy)": [[251, "ivy.isnan"], [619, "ivy.isnan"]], "isnan() (ivy.array method)": [[251, "ivy.Array.isnan"]], "isnan() (ivy.container method)": [[251, "ivy.Container.isnan"]], "isreal() (in module ivy)": [[252, "ivy.isreal"], [619, "ivy.isreal"]], "isreal() (ivy.array method)": [[252, "ivy.Array.isreal"]], "isreal() (ivy.container method)": [[252, "ivy.Container.isreal"]], "lcm() (in module ivy)": [[253, "ivy.lcm"], [619, "ivy.lcm"]], "lcm() (ivy.array method)": [[253, "ivy.Array.lcm"]], "lcm() (ivy.container method)": [[253, "ivy.Container.lcm"]], "less() (in module ivy)": [[254, "ivy.less"], [619, "ivy.less"]], "less() (ivy.array method)": [[254, "ivy.Array.less"]], "less() (ivy.container method)": [[254, "ivy.Container.less"]], "less_equal() (in module ivy)": [[255, "ivy.less_equal"], [619, "ivy.less_equal"]], "less_equal() (ivy.array method)": [[255, "ivy.Array.less_equal"]], "less_equal() (ivy.container method)": [[255, "ivy.Container.less_equal"]], "log() (in module ivy)": [[256, "ivy.log"], [619, "ivy.log"]], "log() (ivy.array method)": [[256, "ivy.Array.log"]], "log() (ivy.container method)": [[256, "ivy.Container.log"]], "log10() (in module ivy)": [[257, "ivy.log10"], [619, "ivy.log10"]], "log10() (ivy.array method)": [[257, "ivy.Array.log10"]], "log10() (ivy.container method)": [[257, "ivy.Container.log10"]], "log1p() (in module ivy)": [[258, "ivy.log1p"], [619, "ivy.log1p"]], "log1p() (ivy.array method)": [[258, "ivy.Array.log1p"]], "log1p() (ivy.container method)": [[258, "ivy.Container.log1p"]], "log2() (in module ivy)": [[259, "ivy.log2"], [619, "ivy.log2"]], "log2() (ivy.array method)": [[259, "ivy.Array.log2"]], "log2() (ivy.container method)": [[259, "ivy.Container.log2"]], "logaddexp() (in module ivy)": [[260, "ivy.logaddexp"], [619, "ivy.logaddexp"]], "logaddexp() (ivy.array method)": [[260, "ivy.Array.logaddexp"]], "logaddexp() (ivy.container method)": [[260, "ivy.Container.logaddexp"]], "logaddexp2() (in module ivy)": [[261, "ivy.logaddexp2"], [619, "ivy.logaddexp2"]], "logaddexp2() (ivy.array method)": [[261, "ivy.Array.logaddexp2"]], "logaddexp2() (ivy.container method)": [[261, "ivy.Container.logaddexp2"]], "logical_and() (in module ivy)": [[262, "ivy.logical_and"], [619, "ivy.logical_and"]], "logical_and() (ivy.array method)": [[262, "ivy.Array.logical_and"]], "logical_and() (ivy.container method)": [[262, "ivy.Container.logical_and"]], "logical_not() (in module ivy)": [[263, "ivy.logical_not"], [619, "ivy.logical_not"]], "logical_not() (ivy.array method)": [[263, "ivy.Array.logical_not"]], "logical_not() (ivy.container method)": [[263, "ivy.Container.logical_not"]], "logical_or() (in module ivy)": [[264, "ivy.logical_or"], [619, "ivy.logical_or"]], "logical_or() (ivy.array method)": [[264, "ivy.Array.logical_or"]], "logical_or() (ivy.container method)": [[264, "ivy.Container.logical_or"]], "logical_xor() (in module ivy)": [[265, "ivy.logical_xor"], [619, "ivy.logical_xor"]], "logical_xor() (ivy.array method)": [[265, "ivy.Array.logical_xor"]], "logical_xor() (ivy.container method)": [[265, "ivy.Container.logical_xor"]], "maximum() (in module ivy)": [[266, "ivy.maximum"], [619, "ivy.maximum"]], "maximum() (ivy.array method)": [[266, "ivy.Array.maximum"]], "maximum() (ivy.container method)": [[266, "ivy.Container.maximum"]], "minimum() (in module ivy)": [[267, "ivy.minimum"], [619, "ivy.minimum"]], "minimum() (ivy.array method)": [[267, "ivy.Array.minimum"]], "minimum() (ivy.container method)": [[267, "ivy.Container.minimum"]], "multiply() (in module ivy)": [[268, "ivy.multiply"], [619, "ivy.multiply"]], "multiply() (ivy.array method)": [[268, "ivy.Array.multiply"]], "multiply() (ivy.container method)": [[268, "ivy.Container.multiply"]], "nan_to_num() (in module ivy)": [[269, "ivy.nan_to_num"], [619, "ivy.nan_to_num"]], "nan_to_num() (ivy.array method)": [[269, "ivy.Array.nan_to_num"]], "nan_to_num() (ivy.container method)": [[269, "ivy.Container.nan_to_num"]], "negative() (in module ivy)": [[270, "ivy.negative"], [619, "ivy.negative"]], "negative() (ivy.array method)": [[270, "ivy.Array.negative"]], "negative() (ivy.container method)": [[270, "ivy.Container.negative"]], "not_equal() (in module ivy)": [[271, "ivy.not_equal"], [619, "ivy.not_equal"]], "not_equal() (ivy.array method)": [[271, "ivy.Array.not_equal"]], "not_equal() (ivy.container method)": [[271, "ivy.Container.not_equal"]], "positive() (in module ivy)": [[272, "ivy.positive"], [619, "ivy.positive"]], "positive() (ivy.array method)": [[272, "ivy.Array.positive"]], "positive() (ivy.container method)": [[272, "ivy.Container.positive"]], "pow() (in module ivy)": [[273, "ivy.pow"], [619, "ivy.pow"]], "pow() (ivy.array method)": [[273, "ivy.Array.pow"]], "pow() (ivy.container method)": [[273, "ivy.Container.pow"]], "rad2deg() (in module ivy)": [[274, "ivy.rad2deg"], [619, "ivy.rad2deg"]], "rad2deg() (ivy.array method)": [[274, "ivy.Array.rad2deg"]], "rad2deg() (ivy.container method)": [[274, "ivy.Container.rad2deg"]], "real() (in module ivy)": [[275, "ivy.real"], [619, "ivy.real"]], "real() (ivy.array method)": [[275, "ivy.Array.real"]], "real() (ivy.container method)": [[275, "ivy.Container.real"]], "reciprocal() (in module ivy)": [[276, "ivy.reciprocal"], [619, "ivy.reciprocal"]], "reciprocal() (ivy.array method)": [[276, "ivy.Array.reciprocal"]], "reciprocal() (ivy.container method)": [[276, "ivy.Container.reciprocal"]], "remainder() (in module ivy)": [[277, "ivy.remainder"], [619, "ivy.remainder"]], "remainder() (ivy.array method)": [[277, "ivy.Array.remainder"]], "remainder() (ivy.container method)": [[277, "ivy.Container.remainder"]], "round() (in module ivy)": [[278, "ivy.round"], [619, "ivy.round"]], "round() (ivy.array method)": [[278, "ivy.Array.round"]], "round() (ivy.container method)": [[278, "ivy.Container.round"]], "sign() (in module ivy)": [[279, "ivy.sign"], [619, "ivy.sign"]], "sign() (ivy.array method)": [[279, "ivy.Array.sign"]], "sign() (ivy.container method)": [[279, "ivy.Container.sign"]], "sin() (in module ivy)": [[280, "ivy.sin"], [619, "ivy.sin"]], "sin() (ivy.array method)": [[280, "ivy.Array.sin"]], "sin() (ivy.container method)": [[280, "ivy.Container.sin"]], "sinh() (in module ivy)": [[281, "ivy.sinh"], [619, "ivy.sinh"]], "sinh() (ivy.array method)": [[281, "ivy.Array.sinh"]], "sinh() (ivy.container method)": [[281, "ivy.Container.sinh"]], "sqrt() (in module ivy)": [[282, "ivy.sqrt"], [619, "ivy.sqrt"]], "sqrt() (ivy.array method)": [[282, "ivy.Array.sqrt"]], "sqrt() (ivy.container method)": [[282, "ivy.Container.sqrt"]], "square() (in module ivy)": [[283, "ivy.square"], [619, "ivy.square"]], "square() (ivy.array method)": [[283, "ivy.Array.square"]], "square() (ivy.container method)": [[283, "ivy.Container.square"]], "subtract() (in module ivy)": [[284, "ivy.subtract"], [619, "ivy.subtract"]], "subtract() (ivy.array method)": [[284, "ivy.Array.subtract"]], "subtract() (ivy.container method)": [[284, "ivy.Container.subtract"]], "tan() (in module ivy)": [[285, "ivy.tan"], [619, "ivy.tan"]], "tan() (ivy.array method)": [[285, "ivy.Array.tan"]], "tan() (ivy.container method)": [[285, "ivy.Container.tan"]], "tanh() (in module ivy)": [[286, "ivy.tanh"], [619, "ivy.tanh"]], "tanh() (ivy.array method)": [[286, "ivy.Array.tanh"]], "tanh() (ivy.container method)": [[286, "ivy.Container.tanh"]], "trapz() (in module ivy)": [[287, "ivy.trapz"], [619, "ivy.trapz"]], "trapz() (ivy.array method)": [[287, "ivy.Array.trapz"]], "trapz() (ivy.container method)": [[287, "ivy.Container.trapz"]], "trunc() (in module ivy)": [[288, "ivy.trunc"], [619, "ivy.trunc"]], "trunc() (ivy.array method)": [[288, "ivy.Array.trunc"]], "trunc() (ivy.container method)": [[288, "ivy.Container.trunc"]], "trunc_divide() (in module ivy)": [[289, "ivy.trunc_divide"], [619, "ivy.trunc_divide"]], "trunc_divide() (ivy.array method)": [[289, "ivy.Array.trunc_divide"]], "trunc_divide() (ivy.container method)": [[289, "ivy.Container.trunc_divide"]], "celu() (in module ivy)": [[290, "ivy.celu"], [360, "ivy.celu"]], "celu() (ivy.array method)": [[290, "ivy.Array.celu"]], "celu() (ivy.container method)": [[290, "ivy.Container.celu"]], "elu() (in module ivy)": [[291, "ivy.elu"], [360, "ivy.elu"]], "elu() (ivy.array method)": [[291, "ivy.Array.elu"]], "elu() (ivy.container method)": [[291, "ivy.Container.elu"]], "hardshrink() (in module ivy)": [[292, "ivy.hardshrink"], [360, "ivy.hardshrink"]], "hardshrink() (ivy.array method)": [[292, "ivy.Array.hardshrink"]], "hardshrink() (ivy.container method)": [[292, "ivy.Container.hardshrink"]], "hardtanh() (in module ivy)": [[293, "ivy.hardtanh"], [360, "ivy.hardtanh"]], "hardtanh() (ivy.array method)": [[293, "ivy.Array.hardtanh"]], "hardtanh() (ivy.container method)": [[293, "ivy.Container.hardtanh"]], "logit() (in module ivy)": [[294, "ivy.logit"], [360, "ivy.logit"]], "logit() (ivy.array method)": [[294, "ivy.Array.logit"]], "logit() (ivy.container method)": [[294, "ivy.Container.logit"]], "logsigmoid() (in module ivy)": [[295, "ivy.logsigmoid"], [360, "ivy.logsigmoid"]], "logsigmoid() (ivy.array method)": [[295, "ivy.Array.logsigmoid"]], "logsigmoid() (ivy.container method)": [[295, "ivy.Container.logsigmoid"]], "prelu() (in module ivy)": [[296, "ivy.prelu"], [360, "ivy.prelu"]], "prelu() (ivy.array method)": [[296, "ivy.Array.prelu"]], "prelu() (ivy.container method)": [[296, "ivy.Container.prelu"]], "relu6() (in module ivy)": [[297, "ivy.relu6"], [360, "ivy.relu6"]], "relu6() (ivy.array method)": [[297, "ivy.Array.relu6"]], "relu6() (ivy.container method)": [[297, "ivy.Container.relu6"]], "scaled_tanh() (in module ivy)": [[298, "ivy.scaled_tanh"], [360, "ivy.scaled_tanh"]], "scaled_tanh() (ivy.array method)": [[298, "ivy.Array.scaled_tanh"]], "scaled_tanh() (ivy.container method)": [[298, "ivy.Container.scaled_tanh"]], "selu() (in module ivy)": [[299, "ivy.selu"], [360, "ivy.selu"]], "selu() (ivy.array method)": [[299, "ivy.Array.selu"]], "selu() (ivy.container method)": [[299, "ivy.Container.selu"]], "silu() (in module ivy)": [[300, "ivy.silu"], [360, "ivy.silu"]], "silu() (ivy.array method)": [[300, "ivy.Array.silu"]], "silu() (ivy.container method)": [[300, "ivy.Container.silu"]], "softshrink() (in module ivy)": [[301, "ivy.softshrink"], [360, "ivy.softshrink"]], "softshrink() (ivy.array method)": [[301, "ivy.Array.softshrink"]], "softshrink() (ivy.container method)": [[301, "ivy.Container.softshrink"]], "stanh() (in module ivy)": [[302, "ivy.stanh"], [360, "ivy.stanh"]], "tanhshrink() (in module ivy)": [[303, "ivy.tanhshrink"], [360, "ivy.tanhshrink"]], "tanhshrink() (ivy.array method)": [[303, "ivy.Array.tanhshrink"]], "tanhshrink() (ivy.container method)": [[303, "ivy.Container.tanhshrink"]], "threshold() (in module ivy)": [[304, "ivy.threshold"], [360, "ivy.threshold"]], "threshold() (ivy.array method)": [[304, "ivy.Array.threshold"]], "threshold() (ivy.container method)": [[304, "ivy.Container.threshold"]], "thresholded_relu() (in module ivy)": [[305, "ivy.thresholded_relu"], [360, "ivy.thresholded_relu"]], "thresholded_relu() (ivy.array method)": [[305, "ivy.Array.thresholded_relu"]], "thresholded_relu() (ivy.container method)": [[305, "ivy.Container.thresholded_relu"]], "blackman_window() (in module ivy)": [[306, "ivy.blackman_window"], [362, "ivy.blackman_window"]], "blackman_window() (ivy.array method)": [[306, "ivy.Array.blackman_window"]], "blackman_window() (ivy.container method)": [[306, "ivy.Container.blackman_window"]], "eye_like() (in module ivy)": [[307, "ivy.eye_like"], [362, "ivy.eye_like"]], "eye_like() (ivy.array method)": [[307, "ivy.Array.eye_like"]], "eye_like() (ivy.container method)": [[307, "ivy.Container.eye_like"]], "hamming_window() (in module ivy)": [[308, "ivy.hamming_window"], [362, "ivy.hamming_window"]], "hamming_window() (ivy.container method)": [[308, "ivy.Container.hamming_window"]], "hann_window() (in module ivy)": [[309, "ivy.hann_window"], [362, "ivy.hann_window"]], "hann_window() (ivy.container method)": [[309, "ivy.Container.hann_window"]], "indices() (in module ivy)": [[310, "ivy.indices"], [362, "ivy.indices"]], "kaiser_bessel_derived_window() (in module ivy)": [[311, "ivy.kaiser_bessel_derived_window"], [362, "ivy.kaiser_bessel_derived_window"]], "kaiser_bessel_derived_window() (ivy.container method)": [[311, "ivy.Container.kaiser_bessel_derived_window"]], "kaiser_window() (in module ivy)": [[312, "ivy.kaiser_window"], [362, "ivy.kaiser_window"]], "kaiser_window() (ivy.container method)": [[312, "ivy.Container.kaiser_window"]], "mel_weight_matrix() (in module ivy)": [[313, "ivy.mel_weight_matrix"], [362, "ivy.mel_weight_matrix"]], "mel_weight_matrix() (ivy.array static method)": [[313, "ivy.Array.mel_weight_matrix"]], "mel_weight_matrix() (ivy.container method)": [[313, "ivy.Container.mel_weight_matrix"]], "ndenumerate() (in module ivy)": [[314, "ivy.ndenumerate"], [362, "ivy.ndenumerate"]], "ndindex() (in module ivy)": [[315, "ivy.ndindex"], [362, "ivy.ndindex"]], "polyval() (in module ivy)": [[316, "ivy.polyval"], [362, "ivy.polyval"]], "polyval() (ivy.container method)": [[316, "ivy.Container.polyval"]], "random_cp() (in module ivy)": [[317, "ivy.random_cp"], [362, "ivy.random_cp"]], "random_parafac2() (in module ivy)": [[318, "ivy.random_parafac2"], [362, "ivy.random_parafac2"]], "random_tr() (in module ivy)": [[319, "ivy.random_tr"], [362, "ivy.random_tr"]], "random_tt() (in module ivy)": [[320, "ivy.random_tt"], [362, "ivy.random_tt"]], "random_tucker() (in module ivy)": [[321, "ivy.random_tucker"], [362, "ivy.random_tucker"]], "tril_indices() (in module ivy)": [[322, "ivy.tril_indices"], [362, "ivy.tril_indices"]], "tril_indices() (ivy.container method)": [[322, "ivy.Container.tril_indices"]], "trilu() (in module ivy)": [[323, "ivy.trilu"], [362, "ivy.trilu"]], "trilu() (ivy.array method)": [[323, "ivy.Array.trilu"]], "trilu() (ivy.container method)": [[323, "ivy.Container.trilu"]], "unsorted_segment_mean() (in module ivy)": [[324, "ivy.unsorted_segment_mean"], [362, "ivy.unsorted_segment_mean"]], "unsorted_segment_mean() (ivy.array method)": [[324, "ivy.Array.unsorted_segment_mean"]], "unsorted_segment_mean() (ivy.container method)": [[324, "ivy.Container.unsorted_segment_mean"]], "unsorted_segment_min() (in module ivy)": [[325, "ivy.unsorted_segment_min"], [362, "ivy.unsorted_segment_min"]], "unsorted_segment_min() (ivy.array method)": [[325, "ivy.Array.unsorted_segment_min"]], "unsorted_segment_min() (ivy.container method)": [[325, "ivy.Container.unsorted_segment_min"]], "unsorted_segment_sum() (in module ivy)": [[326, "ivy.unsorted_segment_sum"], [362, "ivy.unsorted_segment_sum"]], "unsorted_segment_sum() (ivy.array method)": [[326, "ivy.Array.unsorted_segment_sum"]], "unsorted_segment_sum() (ivy.container method)": [[326, "ivy.Container.unsorted_segment_sum"]], "vorbis_window() (in module ivy)": [[327, "ivy.vorbis_window"], [362, "ivy.vorbis_window"]], "vorbis_window() (ivy.container method)": [[327, "ivy.Container.vorbis_window"]], "allclose() (in module ivy)": [[328, "ivy.allclose"], [365, "ivy.allclose"]], "allclose() (ivy.array method)": [[328, "ivy.Array.allclose"]], "allclose() (ivy.container method)": [[328, "ivy.Container.allclose"]], "amax() (in module ivy)": [[329, "ivy.amax"], [365, "ivy.amax"]], "amax() (ivy.array method)": [[329, "ivy.Array.amax"]], "amax() (ivy.container method)": [[329, "ivy.Container.amax"]], "amin() (in module ivy)": [[330, "ivy.amin"], [365, "ivy.amin"]], "amin() (ivy.array method)": [[330, "ivy.Array.amin"]], "amin() (ivy.container method)": [[330, "ivy.Container.amin"]], "binarizer() (in module ivy)": [[331, "ivy.binarizer"], [365, "ivy.binarizer"]], "binarizer() (ivy.array method)": [[331, "ivy.Array.binarizer"]], "binarizer() (ivy.container method)": [[331, "ivy.Container.binarizer"]], "conj() (in module ivy)": [[332, "ivy.conj"], [365, "ivy.conj"]], "conj() (ivy.array method)": [[332, "ivy.Array.conj"]], "conj() (ivy.container method)": [[332, "ivy.Container.conj"]], "copysign() (in module ivy)": [[333, "ivy.copysign"], [365, "ivy.copysign"]], "copysign() (ivy.array method)": [[333, "ivy.Array.copysign"]], "copysign() (ivy.container method)": [[333, "ivy.Container.copysign"]], "count_nonzero() (in module ivy)": [[334, "ivy.count_nonzero"], [365, "ivy.count_nonzero"]], "count_nonzero() (ivy.array method)": [[334, "ivy.Array.count_nonzero"]], "count_nonzero() (ivy.container method)": [[334, "ivy.Container.count_nonzero"]], "diff() (in module ivy)": [[335, "ivy.diff"], [365, "ivy.diff"]], "diff() (ivy.array method)": [[335, "ivy.Array.diff"]], "diff() (ivy.container method)": [[335, "ivy.Container.diff"]], "digamma() (in module ivy)": [[336, "ivy.digamma"], [365, "ivy.digamma"]], "digamma() (ivy.array method)": [[336, "ivy.Array.digamma"]], "digamma() (ivy.container method)": [[336, "ivy.Container.digamma"]], "erfc() (in module ivy)": [[337, "ivy.erfc"], [365, "ivy.erfc"]], "erfc() (ivy.array method)": [[337, "ivy.Array.erfc"]], "erfc() (ivy.container method)": [[337, "ivy.Container.erfc"]], "fix() (in module ivy)": [[338, "ivy.fix"], [365, "ivy.fix"]], "fix() (ivy.array method)": [[338, "ivy.Array.fix"]], "fix() (ivy.container method)": [[338, "ivy.Container.fix"]], "float_power() (in module ivy)": [[339, "ivy.float_power"], [365, "ivy.float_power"]], "float_power() (ivy.array method)": [[339, "ivy.Array.float_power"]], "float_power() (ivy.container method)": [[339, "ivy.Container.float_power"]], "fmax() (in module ivy)": [[340, "ivy.fmax"], [365, "ivy.fmax"]], "fmax() (ivy.array method)": [[340, "ivy.Array.fmax"]], "fmax() (ivy.container method)": [[340, "ivy.Container.fmax"]], "frexp() (in module ivy)": [[341, "ivy.frexp"], [365, "ivy.frexp"]], "frexp() (ivy.array method)": [[341, "ivy.Array.frexp"]], "frexp() (ivy.container method)": [[341, "ivy.Container.frexp"]], "gradient() (in module ivy)": [[342, "ivy.gradient"], [365, "ivy.gradient"]], "gradient() (ivy.array method)": [[342, "ivy.Array.gradient"]], "gradient() (ivy.container method)": [[342, "ivy.Container.gradient"]], "hypot() (in module ivy)": [[343, "ivy.hypot"], [365, "ivy.hypot"]], "hypot() (ivy.array method)": [[343, "ivy.Array.hypot"]], "hypot() (ivy.container method)": [[343, "ivy.Container.hypot"]], "isclose() (in module ivy)": [[344, "ivy.isclose"], [365, "ivy.isclose"]], "isclose() (ivy.array method)": [[344, "ivy.Array.isclose"]], "isclose() (ivy.container method)": [[344, "ivy.Container.isclose"]], "ldexp() (in module ivy)": [[345, "ivy.ldexp"], [365, "ivy.ldexp"]], "ldexp() (ivy.array method)": [[345, "ivy.Array.ldexp"]], "ldexp() (ivy.container method)": [[345, "ivy.Container.ldexp"]], "lerp() (in module ivy)": [[346, "ivy.lerp"], [365, "ivy.lerp"]], "lerp() (ivy.array method)": [[346, "ivy.Array.lerp"]], "lerp() (ivy.container method)": [[346, "ivy.Container.lerp"]], "lgamma() (in module ivy)": [[347, "ivy.lgamma"], [365, "ivy.lgamma"]], "lgamma() (ivy.array method)": [[347, "ivy.Array.lgamma"]], "modf() (in module ivy)": [[348, "ivy.modf"], [365, "ivy.modf"]], "modf() (ivy.array method)": [[348, "ivy.Array.modf"]], "modf() (ivy.container method)": [[348, "ivy.Container.modf"]], "nansum() (in module ivy)": [[349, "ivy.nansum"], [365, "ivy.nansum"]], "nansum() (ivy.array method)": [[349, "ivy.Array.nansum"]], "nansum() (ivy.container method)": [[349, "ivy.Container.nansum"]], "nextafter() (in module ivy)": [[350, "ivy.nextafter"], [365, "ivy.nextafter"]], "nextafter() (ivy.array method)": [[350, "ivy.Array.nextafter"]], "nextafter() (ivy.container method)": [[350, "ivy.Container.nextafter"]], "signbit() (in module ivy)": [[351, "ivy.signbit"], [365, "ivy.signbit"]], "signbit() (ivy.array method)": [[351, "ivy.Array.signbit"]], "signbit() (ivy.container method)": [[351, "ivy.Container.signbit"]], "sinc() (in module ivy)": [[352, "ivy.sinc"], [365, "ivy.sinc"]], "sinc() (ivy.array method)": [[352, "ivy.Array.sinc"]], "sinc() (ivy.container method)": [[352, "ivy.Container.sinc"]], "sparsify_tensor() (in module ivy)": [[353, "ivy.sparsify_tensor"], [365, "ivy.sparsify_tensor"]], "sparsify_tensor() (ivy.array method)": [[353, "ivy.Array.sparsify_tensor"]], "sparsify_tensor() (ivy.container method)": [[353, "ivy.Container.sparsify_tensor"]], "xlogy() (in module ivy)": [[354, "ivy.xlogy"], [365, "ivy.xlogy"]], "xlogy() (ivy.array method)": [[354, "ivy.Array.xlogy"]], "xlogy() (ivy.container method)": [[354, "ivy.Container.xlogy"]], "zeta() (in module ivy)": [[355, "ivy.zeta"], [365, "ivy.zeta"]], "zeta() (ivy.array method)": [[355, "ivy.Array.zeta"]], "zeta() (ivy.container method)": [[355, "ivy.Container.zeta"]], "reduce() (in module ivy)": [[356, "ivy.reduce"], [366, "ivy.reduce"]], "reduce() (ivy.array method)": [[356, "ivy.Array.reduce"]], "reduce() (ivy.container method)": [[356, "ivy.Container.reduce"]], "bind_custom_gradient_function() (in module ivy)": [[357, "ivy.bind_custom_gradient_function"], [367, "ivy.bind_custom_gradient_function"]], "jvp() (in module ivy)": [[358, "ivy.jvp"], [367, "ivy.jvp"]], "vjp() (in module ivy)": [[359, "ivy.vjp"], [367, "ivy.vjp"]], "ivy.functional.ivy.experimental.activations": [[360, "module-ivy.functional.ivy.experimental.activations"]], "ivy.functional.ivy.experimental.constants": [[361, "module-ivy.functional.ivy.experimental.constants"]], "ivy.functional.ivy.experimental.creation": [[362, "module-ivy.functional.ivy.experimental.creation"]], "ivy.functional.ivy.experimental.data_type": [[363, "module-ivy.functional.ivy.experimental.data_type"]], "ivy.functional.ivy.experimental.device": [[364, "module-ivy.functional.ivy.experimental.device"]], "ivy.functional.ivy.experimental.elementwise": [[365, "module-ivy.functional.ivy.experimental.elementwise"]], "ivy.functional.ivy.experimental.general": [[366, "module-ivy.functional.ivy.experimental.general"]], "ivy.functional.ivy.experimental.gradients": [[367, "module-ivy.functional.ivy.experimental.gradients"]], "adaptive_avg_pool1d() (in module ivy)": [[368, "ivy.adaptive_avg_pool1d"], [382, "ivy.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (in module ivy)": [[368, "ivy.adaptive_avg_pool2d"], [383, "ivy.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (in module ivy)": [[368, "ivy.adaptive_max_pool2d"], [384, "ivy.adaptive_max_pool2d"]], "area_interpolate() (in module ivy)": [[368, "ivy.area_interpolate"], [385, "ivy.area_interpolate"]], "avg_pool1d() (in module ivy)": [[368, "ivy.avg_pool1d"], [386, "ivy.avg_pool1d"]], "avg_pool2d() (in module ivy)": [[368, "ivy.avg_pool2d"], [387, "ivy.avg_pool2d"]], "avg_pool3d() (in module ivy)": [[368, "ivy.avg_pool3d"], [388, "ivy.avg_pool3d"]], "dct() (in module ivy)": [[368, "ivy.dct"], [389, "ivy.dct"]], "dft() (in module ivy)": [[368, "ivy.dft"], [390, "ivy.dft"]], "dropout1d() (in module ivy)": [[368, "ivy.dropout1d"], [391, "ivy.dropout1d"]], "dropout2d() (in module ivy)": [[368, "ivy.dropout2d"], [392, "ivy.dropout2d"]], "dropout3d() (in module ivy)": [[368, "ivy.dropout3d"], [393, "ivy.dropout3d"]], "embedding() (in module ivy)": [[368, "ivy.embedding"], [394, "ivy.embedding"]], "fft() (in module ivy)": [[368, "ivy.fft"], [395, "ivy.fft"]], "fft2() (in module ivy)": [[368, "ivy.fft2"], [396, "ivy.fft2"]], "generate_einsum_equation() (in module ivy)": [[368, "ivy.generate_einsum_equation"], [397, "ivy.generate_einsum_equation"]], "get_interpolate_kernel() (in module ivy)": [[368, "ivy.get_interpolate_kernel"], [398, "ivy.get_interpolate_kernel"]], "idct() (in module ivy)": [[368, "ivy.idct"], [399, "ivy.idct"]], "ifft() (in module ivy)": [[368, "ivy.ifft"], [400, "ivy.ifft"]], "ifftn() (in module ivy)": [[368, "ivy.ifftn"], [401, "ivy.ifftn"]], "interp() (in module ivy)": [[368, "ivy.interp"], [402, "ivy.interp"]], "interpolate() (in module ivy)": [[368, "ivy.interpolate"], [403, "ivy.interpolate"]], "ivy.functional.ivy.experimental.layers": [[368, "module-ivy.functional.ivy.experimental.layers"]], "max_pool1d() (in module ivy)": [[368, "ivy.max_pool1d"], [404, "ivy.max_pool1d"]], "max_pool2d() (in module ivy)": [[368, "ivy.max_pool2d"], [405, "ivy.max_pool2d"]], "max_pool3d() (in module ivy)": [[368, "ivy.max_pool3d"], [406, "ivy.max_pool3d"]], "max_unpool1d() (in module ivy)": [[368, "ivy.max_unpool1d"], [407, "ivy.max_unpool1d"]], "nearest_interpolate() (in module ivy)": [[368, "ivy.nearest_interpolate"], [408, "ivy.nearest_interpolate"]], "pool() (in module ivy)": [[368, "ivy.pool"], [409, "ivy.pool"]], "reduce_window() (in module ivy)": [[368, "ivy.reduce_window"], [410, "ivy.reduce_window"]], "rfft() (in module ivy)": [[368, "ivy.rfft"], [411, "ivy.rfft"]], "rfftn() (in module ivy)": [[368, "ivy.rfftn"], [412, "ivy.rfftn"]], "rnn() (in module ivy)": [[368, "ivy.rnn"], [413, "ivy.rnn"]], "sliding_window() (in module ivy)": [[368, "ivy.sliding_window"], [414, "ivy.sliding_window"]], "stft() (in module ivy)": [[368, "ivy.stft"], [415, "ivy.stft"]], "adjoint() (in module ivy)": [[369, "ivy.adjoint"], [416, "ivy.adjoint"]], "batched_outer() (in module ivy)": [[369, "ivy.batched_outer"], [417, "ivy.batched_outer"]], "cond() (in module ivy)": [[369, "ivy.cond"], [418, "ivy.cond"]], "diagflat() (in module ivy)": [[369, "ivy.diagflat"], [419, "ivy.diagflat"]], "dot() (in module ivy)": [[369, "ivy.dot"], [420, "ivy.dot"]], "eig() (in module ivy)": [[369, "ivy.eig"], [421, "ivy.eig"], [624, "ivy.eig"], [658, "ivy.eig"]], "eigh_tridiagonal() (in module ivy)": [[369, "ivy.eigh_tridiagonal"], [422, "ivy.eigh_tridiagonal"]], "eigvals() (in module ivy)": [[369, "ivy.eigvals"], [423, "ivy.eigvals"]], "general_inner_product() (in module ivy)": [[369, "ivy.general_inner_product"], [424, "ivy.general_inner_product"]], "higher_order_moment() (in module ivy)": [[369, "ivy.higher_order_moment"], [425, "ivy.higher_order_moment"]], "initialize_tucker() (in module ivy)": [[369, "ivy.initialize_tucker"], [426, "ivy.initialize_tucker"]], "ivy.functional.ivy.experimental.linear_algebra": [[369, "module-ivy.functional.ivy.experimental.linear_algebra"]], "khatri_rao() (in module ivy)": [[369, "ivy.khatri_rao"], [427, "ivy.khatri_rao"]], "kron() (in module ivy)": [[369, "ivy.kron"], [428, "ivy.kron"]], "kronecker() (in module ivy)": [[369, "ivy.kronecker"], [429, "ivy.kronecker"]], "make_svd_non_negative() (in module ivy)": [[369, "ivy.make_svd_non_negative"], [430, "ivy.make_svd_non_negative"]], "matrix_exp() (in module ivy)": [[369, "ivy.matrix_exp"], [431, "ivy.matrix_exp"]], "mode_dot() (in module ivy)": [[369, "ivy.mode_dot"], [432, "ivy.mode_dot"]], "multi_dot() (in module ivy)": [[369, "ivy.multi_dot"], [433, "ivy.multi_dot"]], "multi_mode_dot() (in module ivy)": [[369, "ivy.multi_mode_dot"], [434, "ivy.multi_mode_dot"]], "partial_tucker() (in module ivy)": [[369, "ivy.partial_tucker"], [435, "ivy.partial_tucker"]], "solve_triangular() (in module ivy)": [[369, "ivy.solve_triangular"], [436, "ivy.solve_triangular"]], "svd_flip() (in module ivy)": [[369, "ivy.svd_flip"], [437, "ivy.svd_flip"]], "tensor_train() (in module ivy)": [[369, "ivy.tensor_train"], [438, "ivy.tensor_train"]], "truncated_svd() (in module ivy)": [[369, "ivy.truncated_svd"], [439, "ivy.truncated_svd"]], "tt_matrix_to_tensor() (in module ivy)": [[369, "ivy.tt_matrix_to_tensor"], [440, "ivy.tt_matrix_to_tensor"]], "tucker() (in module ivy)": [[369, "ivy.tucker"], [441, "ivy.tucker"]], "huber_loss() (in module ivy)": [[370, "ivy.huber_loss"], [442, "ivy.huber_loss"]], "ivy.functional.ivy.experimental.losses": [[370, "module-ivy.functional.ivy.experimental.losses"]], "kl_div() (in module ivy)": [[370, "ivy.kl_div"], [443, "ivy.kl_div"]], "l1_loss() (in module ivy)": [[370, "ivy.l1_loss"], [444, "ivy.l1_loss"]], "log_poisson_loss() (in module ivy)": [[370, "ivy.log_poisson_loss"], [445, "ivy.log_poisson_loss"]], "poisson_nll_loss() (in module ivy)": [[370, "ivy.poisson_nll_loss"], [446, "ivy.poisson_nll_loss"]], "smooth_l1_loss() (in module ivy)": [[370, "ivy.smooth_l1_loss"], [447, "ivy.smooth_l1_loss"]], "soft_margin_loss() (in module ivy)": [[370, "ivy.soft_margin_loss"], [448, "ivy.soft_margin_loss"]], "as_strided() (in module ivy)": [[371, "ivy.as_strided"], [449, "ivy.as_strided"]], "associative_scan() (in module ivy)": [[371, "ivy.associative_scan"], [450, "ivy.associative_scan"]], "atleast_1d() (in module ivy)": [[371, "ivy.atleast_1d"], [451, "ivy.atleast_1d"]], "atleast_2d() (in module ivy)": [[371, "ivy.atleast_2d"], [452, "ivy.atleast_2d"]], "atleast_3d() (in module ivy)": [[371, "ivy.atleast_3d"], [453, "ivy.atleast_3d"]], "broadcast_shapes() (in module ivy)": [[371, "ivy.broadcast_shapes"], [454, "ivy.broadcast_shapes"]], "check_scalar() (in module ivy)": [[371, "ivy.check_scalar"], [455, "ivy.check_scalar"]], "choose() (in module ivy)": [[371, "ivy.choose"], [456, "ivy.choose"]], "column_stack() (in module ivy)": [[371, "ivy.column_stack"], [457, "ivy.column_stack"]], "concat_from_sequence() (in module ivy)": [[371, "ivy.concat_from_sequence"], [458, "ivy.concat_from_sequence"]], "dsplit() (in module ivy)": [[371, "ivy.dsplit"], [459, "ivy.dsplit"]], "dstack() (in module ivy)": [[371, "ivy.dstack"], [460, "ivy.dstack"]], "expand() (in module ivy)": [[371, "ivy.expand"], [461, "ivy.expand"]], "fill_diagonal() (in module ivy)": [[371, "ivy.fill_diagonal"], [462, "ivy.fill_diagonal"]], "flatten() (in module ivy)": [[371, "ivy.flatten"], [463, "ivy.flatten"]], "fliplr() (in module ivy)": [[371, "ivy.fliplr"], [464, "ivy.fliplr"]], "flipud() (in module ivy)": [[371, "ivy.flipud"], [465, "ivy.flipud"]], "fold() (in module ivy)": [[371, "ivy.fold"], [466, "ivy.fold"]], "heaviside() (in module ivy)": [[371, "ivy.heaviside"], [467, "ivy.heaviside"]], "hsplit() (in module ivy)": [[371, "ivy.hsplit"], [468, "ivy.hsplit"]], "hstack() (in module ivy)": [[371, "ivy.hstack"], [469, "ivy.hstack"]], "i0() (in module ivy)": [[371, "ivy.i0"], [470, "ivy.i0"]], "ivy.functional.ivy.experimental.manipulation": [[371, "module-ivy.functional.ivy.experimental.manipulation"]], "matricize() (in module ivy)": [[371, "ivy.matricize"], [471, "ivy.matricize"]], "moveaxis() (in module ivy)": [[371, "ivy.moveaxis"], [472, "ivy.moveaxis"]], "pad() (in module ivy)": [[371, "ivy.pad"], [473, "ivy.pad"]], "partial_fold() (in module ivy)": [[371, "ivy.partial_fold"], [474, "ivy.partial_fold"]], "partial_tensor_to_vec() (in module ivy)": [[371, "ivy.partial_tensor_to_vec"], [475, "ivy.partial_tensor_to_vec"]], "partial_unfold() (in module ivy)": [[371, "ivy.partial_unfold"], [476, "ivy.partial_unfold"]], "partial_vec_to_tensor() (in module ivy)": [[371, "ivy.partial_vec_to_tensor"], [477, "ivy.partial_vec_to_tensor"]], "put_along_axis() (in module ivy)": [[371, "ivy.put_along_axis"], [478, "ivy.put_along_axis"]], "rot90() (in module ivy)": [[371, "ivy.rot90"], [479, "ivy.rot90"]], "soft_thresholding() (in module ivy)": [[371, "ivy.soft_thresholding"], [480, "ivy.soft_thresholding"]], "take() (in module ivy)": [[371, "ivy.take"], [481, "ivy.take"]], "take_along_axis() (in module ivy)": [[371, "ivy.take_along_axis"], [482, "ivy.take_along_axis"]], "top_k() (in module ivy)": [[371, "ivy.top_k"], [483, "ivy.top_k"]], "trim_zeros() (in module ivy)": [[371, "ivy.trim_zeros"], [484, "ivy.trim_zeros"]], "unfold() (in module ivy)": [[371, "ivy.unfold"], [485, "ivy.unfold"]], "unique_consecutive() (in module ivy)": [[371, "ivy.unique_consecutive"], [486, "ivy.unique_consecutive"]], "vsplit() (in module ivy)": [[371, "ivy.vsplit"], [487, "ivy.vsplit"]], "vstack() (in module ivy)": [[371, "ivy.vstack"], [488, "ivy.vstack"]], "ivy.functional.ivy.experimental.meta": [[372, "module-ivy.functional.ivy.experimental.meta"]], "ivy.functional.ivy.experimental.nest": [[373, "module-ivy.functional.ivy.experimental.nest"]], "batch_norm() (in module ivy)": [[374, "ivy.batch_norm"], [489, "ivy.batch_norm"]], "group_norm() (in module ivy)": [[374, "ivy.group_norm"], [490, "ivy.group_norm"]], "instance_norm() (in module ivy)": [[374, "ivy.instance_norm"], [491, "ivy.instance_norm"]], "ivy.functional.ivy.experimental.norms": [[374, "module-ivy.functional.ivy.experimental.norms"]], "l1_normalize() (in module ivy)": [[374, "ivy.l1_normalize"], [492, "ivy.l1_normalize"]], "l2_normalize() (in module ivy)": [[374, "ivy.l2_normalize"], [493, "ivy.l2_normalize"]], "local_response_norm() (in module ivy)": [[374, "ivy.local_response_norm"], [494, "ivy.local_response_norm"]], "lp_normalize() (in module ivy)": [[374, "ivy.lp_normalize"], [495, "ivy.lp_normalize"]], "bernoulli() (in module ivy)": [[375, "ivy.bernoulli"], [496, "ivy.bernoulli"]], "beta() (in module ivy)": [[375, "ivy.beta"], [497, "ivy.beta"]], "dirichlet() (in module ivy)": [[375, "ivy.dirichlet"], [498, "ivy.dirichlet"]], "gamma() (in module ivy)": [[375, "ivy.gamma"], [499, "ivy.gamma"]], "ivy.functional.ivy.experimental.random": [[375, "module-ivy.functional.ivy.experimental.random"]], "poisson() (in module ivy)": [[375, "ivy.poisson"], [500, "ivy.poisson"]], "ivy.functional.ivy.experimental.searching": [[376, "module-ivy.functional.ivy.experimental.searching"]], "unravel_index() (in module ivy)": [[376, "ivy.unravel_index"], [501, "ivy.unravel_index"]], "ivy.functional.ivy.experimental.set": [[377, "module-ivy.functional.ivy.experimental.set"]], "invert_permutation() (in module ivy)": [[378, "ivy.invert_permutation"], [502, "ivy.invert_permutation"]], "ivy.functional.ivy.experimental.sorting": [[378, "module-ivy.functional.ivy.experimental.sorting"]], "lexsort() (in module ivy)": [[378, "ivy.lexsort"], [503, "ivy.lexsort"]], "nativesparsearray (class in ivy)": [[379, "ivy.NativeSparseArray"]], "sparsearray (class in ivy)": [[379, "ivy.SparseArray"]], "is_ivy_sparse_array() (in module ivy)": [[379, "ivy.is_ivy_sparse_array"], [504, "ivy.is_ivy_sparse_array"]], "is_native_sparse_array() (in module ivy)": [[379, "ivy.is_native_sparse_array"], [505, "ivy.is_native_sparse_array"]], "ivy.functional.ivy.experimental.sparse_array": [[379, "module-ivy.functional.ivy.experimental.sparse_array"]], "native_sparse_array() (in module ivy)": [[379, "ivy.native_sparse_array"], [506, "ivy.native_sparse_array"]], "native_sparse_array_to_indices_values_and_shape() (in module ivy)": [[379, "ivy.native_sparse_array_to_indices_values_and_shape"], [507, "ivy.native_sparse_array_to_indices_values_and_shape"]], "bincount() (in module ivy)": [[380, "ivy.bincount"], [508, "ivy.bincount"]], "corrcoef() (in module ivy)": [[380, "ivy.corrcoef"], [509, "ivy.corrcoef"]], "cov() (in module ivy)": [[380, "ivy.cov"], [510, "ivy.cov"]], "cummax() (in module ivy)": [[380, "ivy.cummax"], [511, "ivy.cummax"]], "cummin() (in module ivy)": [[380, "ivy.cummin"], [512, "ivy.cummin"]], "histogram() (in module ivy)": [[380, "ivy.histogram"], [513, "ivy.histogram"]], "igamma() (in module ivy)": [[380, "ivy.igamma"], [514, "ivy.igamma"]], "ivy.functional.ivy.experimental.statistical": [[380, "module-ivy.functional.ivy.experimental.statistical"]], "median() (in module ivy)": [[380, "ivy.median"], [515, "ivy.median"]], "nanmean() (in module ivy)": [[380, "ivy.nanmean"], [516, "ivy.nanmean"]], "nanmedian() (in module ivy)": [[380, "ivy.nanmedian"], [517, "ivy.nanmedian"]], "nanmin() (in module ivy)": [[380, "ivy.nanmin"], [518, "ivy.nanmin"]], "nanprod() (in module ivy)": [[380, "ivy.nanprod"], [519, "ivy.nanprod"]], "quantile() (in module ivy)": [[380, "ivy.quantile"], [520, "ivy.quantile"]], "ivy.functional.ivy.experimental.utility": [[381, "module-ivy.functional.ivy.experimental.utility"]], "optional_get_element() (in module ivy)": [[381, "ivy.optional_get_element"], [521, "ivy.optional_get_element"]], "adaptive_avg_pool1d() (ivy.array method)": [[382, "ivy.Array.adaptive_avg_pool1d"]], "adaptive_avg_pool1d() (ivy.container method)": [[382, "ivy.Container.adaptive_avg_pool1d"]], "adaptive_avg_pool2d() (ivy.array method)": [[383, "ivy.Array.adaptive_avg_pool2d"]], "adaptive_avg_pool2d() (ivy.container method)": [[383, "ivy.Container.adaptive_avg_pool2d"]], "adaptive_max_pool2d() (ivy.array method)": [[384, "ivy.Array.adaptive_max_pool2d"]], "adaptive_max_pool2d() (ivy.container method)": [[384, "ivy.Container.adaptive_max_pool2d"]], "avg_pool1d() (ivy.array method)": [[386, "ivy.Array.avg_pool1d"]], "avg_pool1d() (ivy.container method)": [[386, "ivy.Container.avg_pool1d"]], "avg_pool2d() (ivy.array method)": [[387, "ivy.Array.avg_pool2d"]], "avg_pool2d() (ivy.container method)": [[387, "ivy.Container.avg_pool2d"]], "avg_pool3d() (ivy.array method)": [[388, "ivy.Array.avg_pool3d"]], "avg_pool3d() (ivy.container method)": [[388, "ivy.Container.avg_pool3d"]], "dct() (ivy.array method)": [[389, "ivy.Array.dct"]], "dct() (ivy.container method)": [[389, "ivy.Container.dct"]], "dft() (ivy.array method)": [[390, "ivy.Array.dft"]], "dft() (ivy.container method)": [[390, "ivy.Container.dft"]], "dropout1d() (ivy.array method)": [[391, "ivy.Array.dropout1d"]], "dropout1d() (ivy.container method)": [[391, "ivy.Container.dropout1d"]], "dropout2d() (ivy.array method)": [[392, "ivy.Array.dropout2d"]], "dropout2d() (ivy.container method)": [[392, "ivy.Container.dropout2d"]], "dropout3d() (ivy.array method)": [[393, "ivy.Array.dropout3d"]], "dropout3d() (ivy.container method)": [[393, "ivy.Container.dropout3d"]], "embedding() (ivy.array method)": [[394, "ivy.Array.embedding"]], "embedding() (ivy.container method)": [[394, "ivy.Container.embedding"]], "fft() (ivy.array method)": [[395, "ivy.Array.fft"]], "fft() (ivy.container method)": [[395, "ivy.Container.fft"]], "fft2() (ivy.array method)": [[396, "ivy.Array.fft2"]], "idct() (ivy.array method)": [[399, "ivy.Array.idct"]], "idct() (ivy.container method)": [[399, "ivy.Container.idct"]], "ifft() (ivy.array method)": [[400, "ivy.Array.ifft"]], "ifft() (ivy.container method)": [[400, "ivy.Container.ifft"]], "ifftn() (ivy.array method)": [[401, "ivy.Array.ifftn"]], "ifftn() (ivy.container method)": [[401, "ivy.Container.ifftn"]], "interpolate() (ivy.array method)": [[403, "ivy.Array.interpolate"]], "interpolate() (ivy.container method)": [[403, "ivy.Container.interpolate"]], "max_pool1d() (ivy.array method)": [[404, "ivy.Array.max_pool1d"]], "max_pool1d() (ivy.container method)": [[404, "ivy.Container.max_pool1d"]], "max_pool2d() (ivy.array method)": [[405, "ivy.Array.max_pool2d"]], "max_pool2d() (ivy.container method)": [[405, "ivy.Container.max_pool2d"]], "max_pool3d() (ivy.array method)": [[406, "ivy.Array.max_pool3d"]], "max_pool3d() (ivy.container method)": [[406, "ivy.Container.max_pool3d"]], "max_unpool1d() (ivy.array method)": [[407, "ivy.Array.max_unpool1d"]], "max_unpool1d() (ivy.container method)": [[407, "ivy.Container.max_unpool1d"]], "reduce_window() (ivy.array method)": [[410, "ivy.Array.reduce_window"]], "reduce_window() (ivy.container method)": [[410, "ivy.Container.reduce_window"]], "rfft() (ivy.array method)": [[411, "ivy.Array.rfft"]], "rfft() (ivy.container method)": [[411, "ivy.Container.rfft"]], "rfftn() (ivy.array method)": [[412, "ivy.Array.rfftn"]], "rfftn() (ivy.container method)": [[412, "ivy.Container.rfftn"]], "sliding_window() (ivy.array method)": [[414, "ivy.Array.sliding_window"]], "sliding_window() (ivy.container method)": [[414, "ivy.Container.sliding_window"]], "stft() (ivy.array method)": [[415, "ivy.Array.stft"]], "stft() (ivy.container method)": [[415, "ivy.Container.stft"]], "adjoint() (ivy.array method)": [[416, "ivy.Array.adjoint"]], "adjoint() (ivy.container method)": [[416, "ivy.Container.adjoint"]], "batched_outer() (ivy.array method)": [[417, "ivy.Array.batched_outer"]], "batched_outer() (ivy.container method)": [[417, "ivy.Container.batched_outer"]], "cond() (ivy.array method)": [[418, "ivy.Array.cond"]], "cond() (ivy.container method)": [[418, "ivy.Container.cond"]], "diagflat() (ivy.array method)": [[419, "ivy.Array.diagflat"]], "diagflat() (ivy.container method)": [[419, "ivy.Container.diagflat"]], "dot() (ivy.array method)": [[420, "ivy.Array.dot"]], "dot() (ivy.container method)": [[420, "ivy.Container.dot"]], "eig() (ivy.array method)": [[421, "ivy.Array.eig"], [658, "ivy.Array.eig"]], "eig() (ivy.container method)": [[421, "ivy.Container.eig"], [658, "ivy.Container.eig"]], "eigh_tridiagonal() (ivy.array method)": [[422, "ivy.Array.eigh_tridiagonal"]], "eigh_tridiagonal() (ivy.container method)": [[422, "ivy.Container.eigh_tridiagonal"]], "eigvals() (ivy.array method)": [[423, "ivy.Array.eigvals"]], "eigvals() (ivy.container method)": [[423, "ivy.Container.eigvals"]], "general_inner_product() (ivy.array method)": [[424, "ivy.Array.general_inner_product"]], "general_inner_product() (ivy.container method)": [[424, "ivy.Container.general_inner_product"]], "higher_order_moment() (ivy.array method)": [[425, "ivy.Array.higher_order_moment"]], "higher_order_moment() (ivy.container method)": [[425, "ivy.Container.higher_order_moment"]], "initialize_tucker() (ivy.array method)": [[426, "ivy.Array.initialize_tucker"]], "initialize_tucker() (ivy.container method)": [[426, "ivy.Container.initialize_tucker"]], "kron() (ivy.array method)": [[428, "ivy.Array.kron"]], "kron() (ivy.container method)": [[428, "ivy.Container.kron"]], "make_svd_non_negative() (ivy.array method)": [[430, "ivy.Array.make_svd_non_negative"]], "make_svd_non_negative() (ivy.container method)": [[430, "ivy.Container.make_svd_non_negative"]], "matrix_exp() (ivy.array method)": [[431, "ivy.Array.matrix_exp"]], "matrix_exp() (ivy.container method)": [[431, "ivy.Container.matrix_exp"]], "mode_dot() (ivy.array method)": [[432, "ivy.Array.mode_dot"]], "mode_dot() (ivy.container method)": [[432, "ivy.Container.mode_dot"]], "multi_dot() (ivy.array method)": [[433, "ivy.Array.multi_dot"]], "multi_dot() (ivy.container method)": [[433, "ivy.Container.multi_dot"]], "multi_mode_dot() (ivy.array method)": [[434, "ivy.Array.multi_mode_dot"]], "multi_mode_dot() (ivy.container method)": [[434, "ivy.Container.multi_mode_dot"]], "partial_tucker() (ivy.array method)": [[435, "ivy.Array.partial_tucker"]], "partial_tucker() (ivy.container method)": [[435, "ivy.Container.partial_tucker"]], "svd_flip() (ivy.array method)": [[437, "ivy.Array.svd_flip"]], "svd_flip() (ivy.container method)": [[437, "ivy.Container.svd_flip"]], "tensor_train() (ivy.array method)": [[438, "ivy.Array.tensor_train"]], "tensor_train() (ivy.container method)": [[438, "ivy.Container.tensor_train"]], "truncated_svd() (ivy.array method)": [[439, "ivy.Array.truncated_svd"]], "truncated_svd() (ivy.container method)": [[439, "ivy.Container.truncated_svd"]], "tt_matrix_to_tensor() (ivy.array method)": [[440, "ivy.Array.tt_matrix_to_tensor"]], "tt_matrix_to_tensor() (ivy.container method)": [[440, "ivy.Container.tt_matrix_to_tensor"]], "tucker() (ivy.array method)": [[441, "ivy.Array.tucker"]], "tucker() (ivy.container method)": [[441, "ivy.Container.tucker"]], "huber_loss() (ivy.array method)": [[442, "ivy.Array.huber_loss"]], "huber_loss() (ivy.container method)": [[442, "ivy.Container.huber_loss"]], "kl_div() (ivy.array method)": [[443, "ivy.Array.kl_div"]], "kl_div() (ivy.container method)": [[443, "ivy.Container.kl_div"]], "l1_loss() (ivy.array method)": [[444, "ivy.Array.l1_loss"]], "l1_loss() (ivy.container method)": [[444, "ivy.Container.l1_loss"]], "log_poisson_loss() (ivy.array method)": [[445, "ivy.Array.log_poisson_loss"]], "log_poisson_loss() (ivy.container method)": [[445, "ivy.Container.log_poisson_loss"]], "poisson_nll_loss() (ivy.array method)": [[446, "ivy.Array.poisson_nll_loss"]], "poisson_nll_loss() (ivy.container method)": [[446, "ivy.Container.poisson_nll_loss"]], "smooth_l1_loss() (ivy.array method)": [[447, "ivy.Array.smooth_l1_loss"]], "smooth_l1_loss() (ivy.container method)": [[447, "ivy.Container.smooth_l1_loss"]], "soft_margin_loss() (ivy.array method)": [[448, "ivy.Array.soft_margin_loss"]], "soft_margin_loss() (ivy.container method)": [[448, "ivy.Container.soft_margin_loss"]], "as_strided() (ivy.array method)": [[449, "ivy.Array.as_strided"]], "as_strided() (ivy.container method)": [[449, "ivy.Container.as_strided"]], "associative_scan() (ivy.array method)": [[450, "ivy.Array.associative_scan"]], "associative_scan() (ivy.container method)": [[450, "ivy.Container.associative_scan"]], "atleast_1d() (ivy.array method)": [[451, "ivy.Array.atleast_1d"]], "atleast_1d() (ivy.container method)": [[451, "ivy.Container.atleast_1d"]], "atleast_2d() (ivy.array method)": [[452, "ivy.Array.atleast_2d"]], "atleast_2d() (ivy.container method)": [[452, "ivy.Container.atleast_2d"]], "atleast_3d() (ivy.array method)": [[453, "ivy.Array.atleast_3d"]], "atleast_3d() (ivy.container method)": [[453, "ivy.Container.atleast_3d"]], "broadcast_shapes() (ivy.container method)": [[454, "ivy.Container.broadcast_shapes"]], "column_stack() (ivy.array method)": [[457, "ivy.Array.column_stack"]], "column_stack() (ivy.container method)": [[457, "ivy.Container.column_stack"]], "concat_from_sequence() (ivy.array method)": [[458, "ivy.Array.concat_from_sequence"]], "concat_from_sequence() (ivy.container method)": [[458, "ivy.Container.concat_from_sequence"]], "dsplit() (ivy.array method)": [[459, "ivy.Array.dsplit"]], "dsplit() (ivy.container method)": [[459, "ivy.Container.dsplit"]], "dstack() (ivy.array method)": [[460, "ivy.Array.dstack"]], "dstack() (ivy.container method)": [[460, "ivy.Container.dstack"]], "expand() (ivy.array method)": [[461, "ivy.Array.expand"]], "expand() (ivy.container method)": [[461, "ivy.Container.expand"]], "fill_diagonal() (ivy.array method)": [[462, "ivy.Array.fill_diagonal"]], "fill_diagonal() (ivy.container method)": [[462, "ivy.Container.fill_diagonal"]], "flatten() (ivy.array method)": [[463, "ivy.Array.flatten"]], "flatten() (ivy.container method)": [[463, "ivy.Container.flatten"]], "fliplr() (ivy.array method)": [[464, "ivy.Array.fliplr"]], "fliplr() (ivy.container method)": [[464, "ivy.Container.fliplr"]], "flipud() (ivy.array method)": [[465, "ivy.Array.flipud"]], "flipud() (ivy.container method)": [[465, "ivy.Container.flipud"]], "fold() (ivy.array method)": [[466, "ivy.Array.fold"]], "fold() (ivy.container method)": [[466, "ivy.Container.fold"]], "heaviside() (ivy.array method)": [[467, "ivy.Array.heaviside"]], "heaviside() (ivy.container method)": [[467, "ivy.Container.heaviside"]], "hsplit() (ivy.array method)": [[468, "ivy.Array.hsplit"]], "hsplit() (ivy.container method)": [[468, "ivy.Container.hsplit"]], "hstack() (ivy.array method)": [[469, "ivy.Array.hstack"]], "hstack() (ivy.container method)": [[469, "ivy.Container.hstack"]], "i0() (ivy.array method)": [[470, "ivy.Array.i0"]], "i0() (ivy.container method)": [[470, "ivy.Container.i0"]], "matricize() (ivy.array method)": [[471, "ivy.Array.matricize"]], "matricize() (ivy.container method)": [[471, "ivy.Container.matricize"]], "moveaxis() (ivy.array method)": [[472, "ivy.Array.moveaxis"]], "moveaxis() (ivy.container method)": [[472, "ivy.Container.moveaxis"]], "pad() (ivy.array method)": [[473, "ivy.Array.pad"]], "pad() (ivy.container method)": [[473, "ivy.Container.pad"]], "partial_fold() (ivy.array method)": [[474, "ivy.Array.partial_fold"]], "partial_fold() (ivy.container method)": [[474, "ivy.Container.partial_fold"]], "partial_tensor_to_vec() (ivy.array method)": [[475, "ivy.Array.partial_tensor_to_vec"]], "partial_tensor_to_vec() (ivy.container method)": [[475, "ivy.Container.partial_tensor_to_vec"]], "partial_unfold() (ivy.array method)": [[476, "ivy.Array.partial_unfold"]], "partial_unfold() (ivy.container method)": [[476, "ivy.Container.partial_unfold"]], "partial_vec_to_tensor() (ivy.array method)": [[477, "ivy.Array.partial_vec_to_tensor"]], "partial_vec_to_tensor() (ivy.container method)": [[477, "ivy.Container.partial_vec_to_tensor"]], "put_along_axis() (ivy.array method)": [[478, "ivy.Array.put_along_axis"]], "put_along_axis() (ivy.container method)": [[478, "ivy.Container.put_along_axis"]], "rot90() (ivy.array method)": [[479, "ivy.Array.rot90"]], "rot90() (ivy.container method)": [[479, "ivy.Container.rot90"]], "soft_thresholding() (ivy.array method)": [[480, "ivy.Array.soft_thresholding"]], "soft_thresholding() (ivy.container method)": [[480, "ivy.Container.soft_thresholding"]], "take() (ivy.array method)": [[481, "ivy.Array.take"]], "take() (ivy.container method)": [[481, "ivy.Container.take"]], "take_along_axis() (ivy.array method)": [[482, "ivy.Array.take_along_axis"]], "take_along_axis() (ivy.container method)": [[482, "ivy.Container.take_along_axis"]], "top_k() (ivy.array method)": [[483, "ivy.Array.top_k"]], "top_k() (ivy.container method)": [[483, "ivy.Container.top_k"]], "trim_zeros() (ivy.array method)": [[484, "ivy.Array.trim_zeros"]], "trim_zeros() (ivy.container method)": [[484, "ivy.Container.trim_zeros"]], "unfold() (ivy.array method)": [[485, "ivy.Array.unfold"]], "unfold() (ivy.container method)": [[485, "ivy.Container.unfold"]], "unique_consecutive() (ivy.array method)": [[486, "ivy.Array.unique_consecutive"]], "unique_consecutive() (ivy.container method)": [[486, "ivy.Container.unique_consecutive"]], "vsplit() (ivy.array method)": [[487, "ivy.Array.vsplit"]], "vsplit() (ivy.container method)": [[487, "ivy.Container.vsplit"]], "vstack() (ivy.array method)": [[488, "ivy.Array.vstack"]], "vstack() (ivy.container method)": [[488, "ivy.Container.vstack"]], "batch_norm() (ivy.array method)": [[489, "ivy.Array.batch_norm"]], "batch_norm() (ivy.container method)": [[489, "ivy.Container.batch_norm"]], "group_norm() (ivy.array method)": [[490, "ivy.Array.group_norm"]], "group_norm() (ivy.container method)": [[490, "ivy.Container.group_norm"]], "instance_norm() (ivy.array method)": [[491, "ivy.Array.instance_norm"]], "instance_norm() (ivy.container method)": [[491, "ivy.Container.instance_norm"]], "l1_normalize() (ivy.array method)": [[492, "ivy.Array.l1_normalize"]], "l1_normalize() (ivy.container method)": [[492, "ivy.Container.l1_normalize"]], "l2_normalize() (ivy.array method)": [[493, "ivy.Array.l2_normalize"]], "l2_normalize() (ivy.container method)": [[493, "ivy.Container.l2_normalize"]], "lp_normalize() (ivy.array method)": [[495, "ivy.Array.lp_normalize"]], "lp_normalize() (ivy.container method)": [[495, "ivy.Container.lp_normalize"]], "bernoulli() (ivy.array method)": [[496, "ivy.Array.bernoulli"]], "bernoulli() (ivy.container method)": [[496, "ivy.Container.bernoulli"]], "beta() (ivy.array method)": [[497, "ivy.Array.beta"]], "beta() (ivy.container method)": [[497, "ivy.Container.beta"]], "dirichlet() (ivy.array method)": [[498, "ivy.Array.dirichlet"]], "dirichlet() (ivy.container method)": [[498, "ivy.Container.dirichlet"]], "gamma() (ivy.array method)": [[499, "ivy.Array.gamma"]], "gamma() (ivy.container method)": [[499, "ivy.Container.gamma"]], "poisson() (ivy.array method)": [[500, "ivy.Array.poisson"]], "poisson() (ivy.container method)": [[500, "ivy.Container.poisson"]], "unravel_index() (ivy.array method)": [[501, "ivy.Array.unravel_index"]], "unravel_index() (ivy.container method)": [[501, "ivy.Container.unravel_index"]], "invert_permutation() (ivy.container method)": [[502, "ivy.Container.invert_permutation"]], "lexsort() (ivy.array method)": [[503, "ivy.Array.lexsort"]], "lexsort() (ivy.container method)": [[503, "ivy.Container.lexsort"]], "bincount() (ivy.array method)": [[508, "ivy.Array.bincount"]], "bincount() (ivy.container method)": [[508, "ivy.Container.bincount"]], "corrcoef() (ivy.array method)": [[509, "ivy.Array.corrcoef"]], "corrcoef() (ivy.container method)": [[509, "ivy.Container.corrcoef"]], "cov() (ivy.array method)": [[510, "ivy.Array.cov"]], "cov() (ivy.container method)": [[510, "ivy.Container.cov"]], "cummax() (ivy.array method)": [[511, "ivy.Array.cummax"]], "cummax() (ivy.container method)": [[511, "ivy.Container.cummax"]], "cummin() (ivy.array method)": [[512, "ivy.Array.cummin"]], "cummin() (ivy.container method)": [[512, "ivy.Container.cummin"]], "histogram() (ivy.array method)": [[513, "ivy.Array.histogram"]], "histogram() (ivy.container method)": [[513, "ivy.Container.histogram"]], "igamma() (ivy.array method)": [[514, "ivy.Array.igamma"]], "igamma() (ivy.container method)": [[514, "ivy.Container.igamma"]], "median() (ivy.array method)": [[515, "ivy.Array.median"]], "median() (ivy.container method)": [[515, "ivy.Container.median"]], "nanmean() (ivy.array method)": [[516, "ivy.Array.nanmean"]], "nanmean() (ivy.container method)": [[516, "ivy.Container.nanmean"]], "nanmedian() (ivy.array method)": [[517, "ivy.Array.nanmedian"]], "nanmedian() (ivy.container method)": [[517, "ivy.Container.nanmedian"]], "nanmin() (ivy.array method)": [[518, "ivy.Array.nanmin"]], "nanmin() (ivy.container method)": [[518, "ivy.Container.nanmin"]], "nanprod() (ivy.array method)": [[519, "ivy.Array.nanprod"]], "nanprod() (ivy.container method)": [[519, "ivy.Container.nanprod"]], "quantile() (ivy.array method)": [[520, "ivy.Array.quantile"]], "quantile() (ivy.container method)": [[520, "ivy.Container.quantile"]], "optional_get_element() (ivy.array method)": [[521, "ivy.Array.optional_get_element"]], "optional_get_element() (ivy.container method)": [[521, "ivy.Container.optional_get_element"]], "all_equal() (in module ivy)": [[522, "ivy.all_equal"], [621, "ivy.all_equal"]], "all_equal() (ivy.array method)": [[522, "ivy.Array.all_equal"]], "all_equal() (ivy.container method)": [[522, "ivy.Container.all_equal"]], "arg_info() (in module ivy)": [[523, "ivy.arg_info"], [621, "ivy.arg_info"]], "arg_names() (in module ivy)": [[524, "ivy.arg_names"], [621, "ivy.arg_names"]], "array_equal() (in module ivy)": [[525, "ivy.array_equal"], [621, "ivy.array_equal"]], "array_equal() (ivy.array method)": [[525, "ivy.Array.array_equal"]], "array_equal() (ivy.container method)": [[525, "ivy.Container.array_equal"]], "assert_supports_inplace() (in module ivy)": [[526, "ivy.assert_supports_inplace"], [621, "ivy.assert_supports_inplace"]], "assert_supports_inplace() (ivy.array method)": [[526, "ivy.Array.assert_supports_inplace"]], "assert_supports_inplace() (ivy.container method)": [[526, "ivy.Container.assert_supports_inplace"]], "cache_fn() (in module ivy)": [[527, "ivy.cache_fn"], [621, "ivy.cache_fn"]], "clip_matrix_norm() (in module ivy)": [[528, "ivy.clip_matrix_norm"], [621, "ivy.clip_matrix_norm"]], "clip_matrix_norm() (ivy.array method)": [[528, "ivy.Array.clip_matrix_norm"]], "clip_matrix_norm() (ivy.container method)": [[528, "ivy.Container.clip_matrix_norm"]], "clip_vector_norm() (in module ivy)": [[529, "ivy.clip_vector_norm"], [621, "ivy.clip_vector_norm"]], "clip_vector_norm() (ivy.array method)": [[529, "ivy.Array.clip_vector_norm"]], "clip_vector_norm() (ivy.container method)": [[529, "ivy.Container.clip_vector_norm"]], "container_types() (in module ivy)": [[530, "ivy.container_types"], [621, "ivy.container_types"]], "current_backend_str() (in module ivy)": [[531, "ivy.current_backend_str"], [621, "ivy.current_backend_str"]], "default() (in module ivy)": [[532, "ivy.default"], [621, "ivy.default"]], "default() (ivy.array method)": [[532, "ivy.Array.default"]], "einops_rearrange() (in module ivy)": [[533, "ivy.einops_rearrange"], [621, "ivy.einops_rearrange"]], "einops_rearrange() (ivy.array method)": [[533, "ivy.Array.einops_rearrange"]], "einops_rearrange() (ivy.container method)": [[533, "ivy.Container.einops_rearrange"]], "einops_reduce() (in module ivy)": [[534, "ivy.einops_reduce"], [621, "ivy.einops_reduce"]], "einops_reduce() (ivy.array method)": [[534, "ivy.Array.einops_reduce"]], "einops_reduce() (ivy.container method)": [[534, "ivy.Container.einops_reduce"]], "einops_repeat() (in module ivy)": [[535, "ivy.einops_repeat"], [621, "ivy.einops_repeat"]], "einops_repeat() (ivy.array method)": [[535, "ivy.Array.einops_repeat"]], "einops_repeat() (ivy.container method)": [[535, "ivy.Container.einops_repeat"]], "exists() (in module ivy)": [[536, "ivy.exists"], [621, "ivy.exists"]], "exists() (ivy.array method)": [[536, "ivy.Array.exists"]], "exists() (ivy.container method)": [[536, "ivy.Container.exists"]], "fourier_encode() (in module ivy)": [[537, "ivy.fourier_encode"], [621, "ivy.fourier_encode"]], "fourier_encode() (ivy.array method)": [[537, "ivy.Array.fourier_encode"]], "fourier_encode() (ivy.container method)": [[537, "ivy.Container.fourier_encode"]], "function_supported_devices_and_dtypes() (in module ivy)": [[538, "ivy.function_supported_devices_and_dtypes"], [621, "ivy.function_supported_devices_and_dtypes"]], "function_unsupported_devices_and_dtypes() (in module ivy)": [[539, "ivy.function_unsupported_devices_and_dtypes"], [621, "ivy.function_unsupported_devices_and_dtypes"]], "gather() (in module ivy)": [[540, "ivy.gather"], [621, "ivy.gather"]], "gather() (ivy.array method)": [[540, "ivy.Array.gather"]], "gather() (ivy.container method)": [[540, "ivy.Container.gather"]], "gather_nd() (in module ivy)": [[541, "ivy.gather_nd"], [621, "ivy.gather_nd"]], "gather_nd() (ivy.array method)": [[541, "ivy.Array.gather_nd"]], "gather_nd() (ivy.container method)": [[541, "ivy.Container.gather_nd"]], "get_all_arrays_in_memory() (in module ivy)": [[542, "ivy.get_all_arrays_in_memory"], [621, "ivy.get_all_arrays_in_memory"]], "get_item() (in module ivy)": [[543, "ivy.get_item"], [621, "ivy.get_item"]], "get_num_dims() (in module ivy)": [[544, "ivy.get_num_dims"], [621, "ivy.get_num_dims"]], "get_num_dims() (ivy.array method)": [[544, "ivy.Array.get_num_dims"]], "get_num_dims() (ivy.container method)": [[544, "ivy.Container.get_num_dims"]], "get_referrers_recursive() (in module ivy)": [[545, "ivy.get_referrers_recursive"], [621, "ivy.get_referrers_recursive"]], "has_nans() (in module ivy)": [[546, "ivy.has_nans"], [621, "ivy.has_nans"]], "has_nans() (ivy.array method)": [[546, "ivy.Array.has_nans"]], "has_nans() (ivy.container method)": [[546, "ivy.Container.has_nans"]], "inplace_arrays_supported() (in module ivy)": [[547, "ivy.inplace_arrays_supported"], [621, "ivy.inplace_arrays_supported"]], "inplace_decrement() (in module ivy)": [[548, "ivy.inplace_decrement"], [621, "ivy.inplace_decrement"]], "inplace_decrement() (ivy.array method)": [[548, "ivy.Array.inplace_decrement"]], "inplace_decrement() (ivy.container method)": [[548, "ivy.Container.inplace_decrement"]], "inplace_increment() (in module ivy)": [[549, "ivy.inplace_increment"], [621, "ivy.inplace_increment"]], "inplace_increment() (ivy.array method)": [[549, "ivy.Array.inplace_increment"]], "inplace_increment() (ivy.container method)": [[549, "ivy.Container.inplace_increment"]], "inplace_update() (in module ivy)": [[550, "ivy.inplace_update"], [621, "ivy.inplace_update"]], "inplace_update() (ivy.array method)": [[550, "ivy.Array.inplace_update"]], "inplace_update() (ivy.container method)": [[550, "ivy.Container.inplace_update"]], "inplace_variables_supported() (in module ivy)": [[551, "ivy.inplace_variables_supported"], [621, "ivy.inplace_variables_supported"]], "is_array() (in module ivy)": [[552, "ivy.is_array"], [621, "ivy.is_array"]], "is_array() (ivy.array method)": [[552, "ivy.Array.is_array"]], "is_array() (ivy.container method)": [[552, "ivy.Container.is_array"]], "is_ivy_array() (in module ivy)": [[553, "ivy.is_ivy_array"], [621, "ivy.is_ivy_array"]], "is_ivy_array() (ivy.array method)": [[553, "ivy.Array.is_ivy_array"]], "is_ivy_array() (ivy.container method)": [[553, "ivy.Container.is_ivy_array"]], "is_ivy_container() (in module ivy)": [[554, "ivy.is_ivy_container"], [621, "ivy.is_ivy_container"]], "is_ivy_container() (ivy.array method)": [[554, "ivy.Array.is_ivy_container"]], "is_ivy_nested_array() (in module ivy)": [[555, "ivy.is_ivy_nested_array"], [621, "ivy.is_ivy_nested_array"]], "is_native_array() (in module ivy)": [[556, "ivy.is_native_array"], [621, "ivy.is_native_array"]], "is_native_array() (ivy.array method)": [[556, "ivy.Array.is_native_array"]], "is_native_array() (ivy.container method)": [[556, "ivy.Container.is_native_array"]], "isin() (in module ivy)": [[557, "ivy.isin"], [621, "ivy.isin"]], "isin() (ivy.array method)": [[557, "ivy.Array.isin"]], "isin() (ivy.container method)": [[557, "ivy.Container.isin"]], "isscalar() (in module ivy)": [[558, "ivy.isscalar"], [621, "ivy.isscalar"]], "itemsize() (in module ivy)": [[559, "ivy.itemsize"], [621, "ivy.itemsize"]], "itemsize() (ivy.array method)": [[559, "ivy.Array.itemsize"]], "itemsize() (ivy.container method)": [[559, "ivy.Container.itemsize"]], "match_kwargs() (in module ivy)": [[560, "ivy.match_kwargs"], [621, "ivy.match_kwargs"]], "multiprocessing() (in module ivy)": [[561, "ivy.multiprocessing"], [621, "ivy.multiprocessing"]], "num_arrays_in_memory() (in module ivy)": [[562, "ivy.num_arrays_in_memory"], [621, "ivy.num_arrays_in_memory"]], "print_all_arrays_in_memory() (in module ivy)": [[563, "ivy.print_all_arrays_in_memory"], [621, "ivy.print_all_arrays_in_memory"]], "scatter_flat() (in module ivy)": [[564, "ivy.scatter_flat"], [621, "ivy.scatter_flat"]], "scatter_flat() (ivy.array method)": [[564, "ivy.Array.scatter_flat"]], "scatter_flat() (ivy.container method)": [[564, "ivy.Container.scatter_flat"]], "scatter_nd() (in module ivy)": [[565, "ivy.scatter_nd"], [621, "ivy.scatter_nd"]], "scatter_nd() (ivy.array method)": [[565, "ivy.Array.scatter_nd"]], "scatter_nd() (ivy.container method)": [[565, "ivy.Container.scatter_nd"]], "set_array_mode() (in module ivy)": [[566, "ivy.set_array_mode"], [621, "ivy.set_array_mode"]], "set_exception_trace_mode() (in module ivy)": [[567, "ivy.set_exception_trace_mode"], [621, "ivy.set_exception_trace_mode"]], "set_inplace_mode() (in module ivy)": [[568, "ivy.set_inplace_mode"], [621, "ivy.set_inplace_mode"]], "set_item() (in module ivy)": [[569, "ivy.set_item"], [621, "ivy.set_item"]], "set_min_base() (in module ivy)": [[570, "ivy.set_min_base"], [621, "ivy.set_min_base"]], "set_min_denominator() (in module ivy)": [[571, "ivy.set_min_denominator"], [621, "ivy.set_min_denominator"]], "set_nestable_mode() (in module ivy)": [[572, "ivy.set_nestable_mode"], [621, "ivy.set_nestable_mode"]], "set_precise_mode() (in module ivy)": [[573, "ivy.set_precise_mode"], [621, "ivy.set_precise_mode"]], "set_queue_timeout() (in module ivy)": [[574, "ivy.set_queue_timeout"], [621, "ivy.set_queue_timeout"]], "set_shape_array_mode() (in module ivy)": [[575, "ivy.set_shape_array_mode"], [621, "ivy.set_shape_array_mode"]], "set_show_func_wrapper_trace_mode() (in module ivy)": [[576, "ivy.set_show_func_wrapper_trace_mode"], [621, "ivy.set_show_func_wrapper_trace_mode"]], "set_tmp_dir() (in module ivy)": [[577, "ivy.set_tmp_dir"], [621, "ivy.set_tmp_dir"]], "shape() (in module ivy)": [[578, "ivy.shape"], [621, "ivy.shape"]], "shape() (ivy.array method)": [[578, "ivy.Array.shape"]], "stable_divide() (in module ivy)": [[579, "ivy.stable_divide"], [621, "ivy.stable_divide"]], "stable_divide() (ivy.array method)": [[579, "ivy.Array.stable_divide"]], "stable_divide() (ivy.container method)": [[579, "ivy.Container.stable_divide"]], "stable_pow() (in module ivy)": [[580, "ivy.stable_pow"], [621, "ivy.stable_pow"]], "stable_pow() (ivy.array method)": [[580, "ivy.Array.stable_pow"]], "stable_pow() (ivy.container method)": [[580, "ivy.Container.stable_pow"]], "strides() (in module ivy)": [[581, "ivy.strides"], [621, "ivy.strides"]], "strides() (ivy.array method)": [[581, "ivy.Array.strides"]], "strides() (ivy.container method)": [[581, "ivy.Container.strides"]], "supports_inplace_updates() (in module ivy)": [[582, "ivy.supports_inplace_updates"], [621, "ivy.supports_inplace_updates"]], "supports_inplace_updates() (ivy.array method)": [[582, "ivy.Array.supports_inplace_updates"]], "supports_inplace_updates() (ivy.container method)": [[582, "ivy.Container.supports_inplace_updates"]], "to_ivy_shape() (in module ivy)": [[583, "ivy.to_ivy_shape"], [621, "ivy.to_ivy_shape"]], "to_list() (in module ivy)": [[584, "ivy.to_list"], [621, "ivy.to_list"]], "to_list() (ivy.array method)": [[584, "ivy.Array.to_list"]], "to_list() (ivy.container method)": [[584, "ivy.Container.to_list"]], "to_native_shape() (in module ivy)": [[585, "ivy.to_native_shape"], [621, "ivy.to_native_shape"]], "to_numpy() (in module ivy)": [[586, "ivy.to_numpy"], [621, "ivy.to_numpy"]], "to_numpy() (ivy.array method)": [[586, "ivy.Array.to_numpy"]], "to_numpy() (ivy.container method)": [[586, "ivy.Container.to_numpy"]], "to_scalar() (in module ivy)": [[587, "ivy.to_scalar"], [621, "ivy.to_scalar"]], "to_scalar() (ivy.array method)": [[587, "ivy.Array.to_scalar"]], "to_scalar() (ivy.container method)": [[587, "ivy.Container.to_scalar"]], "try_else_none() (in module ivy)": [[588, "ivy.try_else_none"], [621, "ivy.try_else_none"]], "unset_array_mode() (in module ivy)": [[589, "ivy.unset_array_mode"], [621, "ivy.unset_array_mode"]], "unset_exception_trace_mode() (in module ivy)": [[590, "ivy.unset_exception_trace_mode"], [621, "ivy.unset_exception_trace_mode"]], "unset_inplace_mode() (in module ivy)": [[591, "ivy.unset_inplace_mode"], [621, "ivy.unset_inplace_mode"]], "unset_min_base() (in module ivy)": [[592, "ivy.unset_min_base"], [621, "ivy.unset_min_base"]], "unset_min_denominator() (in module ivy)": [[593, "ivy.unset_min_denominator"], [621, "ivy.unset_min_denominator"]], "unset_nestable_mode() (in module ivy)": [[594, "ivy.unset_nestable_mode"], [621, "ivy.unset_nestable_mode"]], "unset_precise_mode() (in module ivy)": [[595, "ivy.unset_precise_mode"], [621, "ivy.unset_precise_mode"]], "unset_queue_timeout() (in module ivy)": [[596, "ivy.unset_queue_timeout"], [621, "ivy.unset_queue_timeout"]], "unset_shape_array_mode() (in module ivy)": [[597, "ivy.unset_shape_array_mode"], [621, "ivy.unset_shape_array_mode"]], "unset_show_func_wrapper_trace_mode() (in module ivy)": [[598, "ivy.unset_show_func_wrapper_trace_mode"], [621, "ivy.unset_show_func_wrapper_trace_mode"]], "unset_tmp_dir() (in module ivy)": [[599, "ivy.unset_tmp_dir"], [621, "ivy.unset_tmp_dir"]], "value_is_nan() (in module ivy)": [[600, "ivy.value_is_nan"], [621, "ivy.value_is_nan"]], "value_is_nan() (ivy.array method)": [[600, "ivy.Array.value_is_nan"]], "value_is_nan() (ivy.container method)": [[600, "ivy.Container.value_is_nan"]], "vmap() (in module ivy)": [[601, "ivy.vmap"], [621, "ivy.vmap"]], "adam_step() (in module ivy)": [[602, "ivy.adam_step"], [622, "ivy.adam_step"]], "adam_step() (ivy.array method)": [[602, "ivy.Array.adam_step"]], "adam_step() (ivy.container method)": [[602, "ivy.Container.adam_step"]], "adam_update() (in module ivy)": [[603, "ivy.adam_update"], [622, "ivy.adam_update"]], "adam_update() (ivy.array method)": [[603, "ivy.Array.adam_update"]], "adam_update() (ivy.container method)": [[603, "ivy.Container.adam_update"]], "execute_with_gradients() (in module ivy)": [[604, "ivy.execute_with_gradients"], [622, "ivy.execute_with_gradients"]], "grad() (in module ivy)": [[605, "ivy.grad"], [622, "ivy.grad"]], "gradient_descent_update() (in module ivy)": [[606, "ivy.gradient_descent_update"], [622, "ivy.gradient_descent_update"]], "gradient_descent_update() (ivy.array method)": [[606, "ivy.Array.gradient_descent_update"]], "gradient_descent_update() (ivy.container method)": [[606, "ivy.Container.gradient_descent_update"]], "jac() (in module ivy)": [[607, "ivy.jac"], [622, "ivy.jac"]], "lamb_update() (in module ivy)": [[608, "ivy.lamb_update"], [622, "ivy.lamb_update"]], "lamb_update() (ivy.array method)": [[608, "ivy.Array.lamb_update"]], "lamb_update() (ivy.container method)": [[608, "ivy.Container.lamb_update"]], "lars_update() (in module ivy)": [[609, "ivy.lars_update"], [622, "ivy.lars_update"]], "lars_update() (ivy.array method)": [[609, "ivy.Array.lars_update"]], "lars_update() (ivy.container method)": [[609, "ivy.Container.lars_update"]], "optimizer_update() (in module ivy)": [[610, "ivy.optimizer_update"], [622, "ivy.optimizer_update"]], "optimizer_update() (ivy.array method)": [[610, "ivy.Array.optimizer_update"]], "optimizer_update() (ivy.container method)": [[610, "ivy.Container.optimizer_update"]], "stop_gradient() (in module ivy)": [[611, "ivy.stop_gradient"], [622, "ivy.stop_gradient"]], "stop_gradient() (ivy.array method)": [[611, "ivy.Array.stop_gradient"]], "stop_gradient() (ivy.container method)": [[611, "ivy.Container.stop_gradient"]], "value_and_grad() (in module ivy)": [[612, "ivy.value_and_grad"], [622, "ivy.value_and_grad"]], "ivy.functional.ivy.activations": [[613, "module-ivy.functional.ivy.activations"]], "e (in module ivy)": [[614, "ivy.e"]], "inf (in module ivy)": [[614, "ivy.inf"]], "ivy.functional.ivy.constants": [[614, "module-ivy.functional.ivy.constants"]], "nan (in module ivy)": [[614, "ivy.nan"]], "newaxis (in module ivy)": [[614, "ivy.newaxis"]], "pi (in module ivy)": [[614, "ivy.pi"]], "ivy.functional.ivy.control_flow_ops": [[615, "module-ivy.functional.ivy.control_flow_ops"]], "nestedsequence (class in ivy)": [[616, "ivy.NestedSequence"]], "ivy.functional.ivy.creation": [[616, "module-ivy.functional.ivy.creation"]], "defaultcomplexdtype (class in ivy)": [[617, "ivy.DefaultComplexDtype"]], "defaultdtype (class in ivy)": [[617, "ivy.DefaultDtype"]], "defaultfloatdtype (class in ivy)": [[617, "ivy.DefaultFloatDtype"]], "defaultintdtype (class in ivy)": [[617, "ivy.DefaultIntDtype"]], "defaultuintdtype (class in ivy)": [[617, "ivy.DefaultUintDtype"]], "ivy.functional.ivy.data_type": [[617, "module-ivy.functional.ivy.data_type"]], "defaultdevice (class in ivy)": [[618, "ivy.DefaultDevice"]], "profiler (class in ivy)": [[618, "ivy.Profiler"]], "ivy.functional.ivy.device": [[618, "module-ivy.functional.ivy.device"]], "ivy.functional.ivy.elementwise": [[619, "module-ivy.functional.ivy.elementwise"]], "ivy.functional.ivy.experimental": [[620, "module-ivy.functional.ivy.experimental"]], "arraymode (class in ivy)": [[621, "ivy.ArrayMode"]], "precisemode (class in ivy)": [[621, "ivy.PreciseMode"]], "ivy.functional.ivy.general": [[621, "module-ivy.functional.ivy.general"]], "ivy.functional.ivy.gradients": [[622, "module-ivy.functional.ivy.gradients"]], "conv() (in module ivy)": [[623, "ivy.conv"], [636, "ivy.conv"]], "conv1d() (in module ivy)": [[623, "ivy.conv1d"], [637, "ivy.conv1d"]], "conv1d_transpose() (in module ivy)": [[623, "ivy.conv1d_transpose"], [638, "ivy.conv1d_transpose"]], "conv2d() (in module ivy)": [[623, "ivy.conv2d"], [639, "ivy.conv2d"]], "conv2d_transpose() (in module ivy)": [[623, "ivy.conv2d_transpose"], [640, "ivy.conv2d_transpose"]], "conv3d() (in module ivy)": [[623, "ivy.conv3d"], [641, "ivy.conv3d"]], "conv3d_transpose() (in module ivy)": [[623, "ivy.conv3d_transpose"], [642, "ivy.conv3d_transpose"]], "conv_general_dilated() (in module ivy)": [[623, "ivy.conv_general_dilated"], [643, "ivy.conv_general_dilated"]], "conv_general_transpose() (in module ivy)": [[623, "ivy.conv_general_transpose"], [644, "ivy.conv_general_transpose"]], "depthwise_conv2d() (in module ivy)": [[623, "ivy.depthwise_conv2d"], [645, "ivy.depthwise_conv2d"]], "dropout() (in module ivy)": [[623, "ivy.dropout"], [646, "ivy.dropout"]], "ivy.functional.ivy.layers": [[623, "module-ivy.functional.ivy.layers"]], "linear() (in module ivy)": [[623, "ivy.linear"], [647, "ivy.linear"]], "lstm_update() (in module ivy)": [[623, "ivy.lstm_update"], [648, "ivy.lstm_update"]], "multi_head_attention() (in module ivy)": [[623, "ivy.multi_head_attention"], [649, "ivy.multi_head_attention"]], "nms() (in module ivy)": [[623, "ivy.nms"], [650, "ivy.nms"]], "roi_align() (in module ivy)": [[623, "ivy.roi_align"], [651, "ivy.roi_align"]], "scaled_dot_product_attention() (in module ivy)": [[623, "ivy.scaled_dot_product_attention"], [652, "ivy.scaled_dot_product_attention"]], "cholesky() (in module ivy)": [[624, "ivy.cholesky"], [653, "ivy.cholesky"]], "cross() (in module ivy)": [[624, "ivy.cross"], [654, "ivy.cross"]], "det() (in module ivy)": [[624, "ivy.det"], [655, "ivy.det"]], "diag() (in module ivy)": [[624, "ivy.diag"], [656, "ivy.diag"]], "diagonal() (in module ivy)": [[624, "ivy.diagonal"], [657, "ivy.diagonal"]], "eigh() (in module ivy)": [[624, "ivy.eigh"], [659, "ivy.eigh"]], "eigvalsh() (in module ivy)": [[624, "ivy.eigvalsh"], [660, "ivy.eigvalsh"]], "inner() (in module ivy)": [[624, "ivy.inner"], [661, "ivy.inner"]], "inv() (in module ivy)": [[624, "ivy.inv"], [662, "ivy.inv"]], "ivy.functional.ivy.linear_algebra": [[624, "module-ivy.functional.ivy.linear_algebra"]], "lu_factor() (in module ivy)": [[624, "ivy.lu_factor"], [663, "ivy.lu_factor"]], "matmul() (in module ivy)": [[624, "ivy.matmul"], [664, "ivy.matmul"]], "matrix_norm() (in module ivy)": [[624, "ivy.matrix_norm"], [665, "ivy.matrix_norm"]], "matrix_power() (in module ivy)": [[624, "ivy.matrix_power"], [666, "ivy.matrix_power"]], "matrix_rank() (in module ivy)": [[624, "ivy.matrix_rank"], [667, "ivy.matrix_rank"]], "matrix_transpose() (in module ivy)": [[624, "ivy.matrix_transpose"], [668, "ivy.matrix_transpose"]], "outer() (in module ivy)": [[624, "ivy.outer"], [669, "ivy.outer"]], "pinv() (in module ivy)": [[624, "ivy.pinv"], [670, "ivy.pinv"]], "qr() (in module ivy)": [[624, "ivy.qr"], [671, "ivy.qr"]], "slogdet() (in module ivy)": [[624, "ivy.slogdet"], [672, "ivy.slogdet"]], "solve() (in module ivy)": [[624, "ivy.solve"], [673, "ivy.solve"]], "svd() (in module ivy)": [[624, "ivy.svd"], [674, "ivy.svd"]], "svdvals() (in module ivy)": [[624, "ivy.svdvals"], [675, "ivy.svdvals"]], "tensordot() (in module ivy)": [[624, "ivy.tensordot"], [676, "ivy.tensordot"]], "tensorsolve() (in module ivy)": [[624, "ivy.tensorsolve"], [677, "ivy.tensorsolve"]], "trace() (in module ivy)": [[624, "ivy.trace"], [678, "ivy.trace"]], "vander() (in module ivy)": [[624, "ivy.vander"], [679, "ivy.vander"]], "vecdot() (in module ivy)": [[624, "ivy.vecdot"], [680, "ivy.vecdot"]], "vector_norm() (in module ivy)": [[624, "ivy.vector_norm"], [681, "ivy.vector_norm"]], "vector_to_skew_symmetric_matrix() (in module ivy)": [[624, "ivy.vector_to_skew_symmetric_matrix"], [682, "ivy.vector_to_skew_symmetric_matrix"]], "binary_cross_entropy() (in module ivy)": [[625, "ivy.binary_cross_entropy"], [683, "ivy.binary_cross_entropy"]], "cross_entropy() (in module ivy)": [[625, "ivy.cross_entropy"], [684, "ivy.cross_entropy"]], "ivy.functional.ivy.losses": [[625, "module-ivy.functional.ivy.losses"]], "sparse_cross_entropy() (in module ivy)": [[625, "ivy.sparse_cross_entropy"], [685, "ivy.sparse_cross_entropy"]], "clip() (in module ivy)": [[626, "ivy.clip"], [686, "ivy.clip"]], "concat() (in module ivy)": [[626, "ivy.concat"], [687, "ivy.concat"]], "constant_pad() (in module ivy)": [[626, "ivy.constant_pad"], [688, "ivy.constant_pad"]], "expand_dims() (in module ivy)": [[626, "ivy.expand_dims"], [689, "ivy.expand_dims"]], "flip() (in module ivy)": [[626, "ivy.flip"], [690, "ivy.flip"]], "ivy.functional.ivy.manipulation": [[626, "module-ivy.functional.ivy.manipulation"]], "permute_dims() (in module ivy)": [[626, "ivy.permute_dims"], [691, "ivy.permute_dims"]], "repeat() (in module ivy)": [[626, "ivy.repeat"], [692, "ivy.repeat"]], "reshape() (in module ivy)": [[626, "ivy.reshape"], [693, "ivy.reshape"]], "roll() (in module ivy)": [[626, "ivy.roll"], [694, "ivy.roll"]], "split() (in module ivy)": [[626, "ivy.split"], [695, "ivy.split"]], "squeeze() (in module ivy)": [[626, "ivy.squeeze"], [696, "ivy.squeeze"]], "stack() (in module ivy)": [[626, "ivy.stack"], [697, "ivy.stack"]], "swapaxes() (in module ivy)": [[626, "ivy.swapaxes"], [698, "ivy.swapaxes"]], "tile() (in module ivy)": [[626, "ivy.tile"], [699, "ivy.tile"]], "unstack() (in module ivy)": [[626, "ivy.unstack"], [700, "ivy.unstack"]], "zero_pad() (in module ivy)": [[626, "ivy.zero_pad"], [701, "ivy.zero_pad"]], "fomaml_step() (in module ivy)": [[627, "ivy.fomaml_step"], [702, "ivy.fomaml_step"]], "ivy.functional.ivy.meta": [[627, "module-ivy.functional.ivy.meta"]], "maml_step() (in module ivy)": [[627, "ivy.maml_step"], [703, "ivy.maml_step"]], "reptile_step() (in module ivy)": [[627, "ivy.reptile_step"], [704, "ivy.reptile_step"]], "all_nested_indices() (in module ivy)": [[628, "ivy.all_nested_indices"], [705, "ivy.all_nested_indices"]], "copy_nest() (in module ivy)": [[628, "ivy.copy_nest"], [706, "ivy.copy_nest"]], "duplicate_array_index_chains() (in module ivy)": [[628, "ivy.duplicate_array_index_chains"], [707, "ivy.duplicate_array_index_chains"]], "index_nest() (in module ivy)": [[628, "ivy.index_nest"], [708, "ivy.index_nest"]], "insert_into_nest_at_index() (in module ivy)": [[628, "ivy.insert_into_nest_at_index"], [709, "ivy.insert_into_nest_at_index"]], "insert_into_nest_at_indices() (in module ivy)": [[628, "ivy.insert_into_nest_at_indices"], [710, "ivy.insert_into_nest_at_indices"]], "ivy.functional.ivy.nest": [[628, "module-ivy.functional.ivy.nest"]], "map() (in module ivy)": [[628, "ivy.map"], [711, "ivy.map"]], "map_nest_at_index() (in module ivy)": [[628, "ivy.map_nest_at_index"], [712, "ivy.map_nest_at_index"]], "map_nest_at_indices() (in module ivy)": [[628, "ivy.map_nest_at_indices"], [713, "ivy.map_nest_at_indices"]], "multi_index_nest() (in module ivy)": [[628, "ivy.multi_index_nest"], [714, "ivy.multi_index_nest"]], "nested_any() (in module ivy)": [[628, "ivy.nested_any"], [715, "ivy.nested_any"]], "nested_argwhere() (in module ivy)": [[628, "ivy.nested_argwhere"], [716, "ivy.nested_argwhere"]], "nested_map() (in module ivy)": [[628, "ivy.nested_map"], [717, "ivy.nested_map"]], "nested_multi_map() (in module ivy)": [[628, "ivy.nested_multi_map"], [718, "ivy.nested_multi_map"]], "prune_empty() (in module ivy)": [[628, "ivy.prune_empty"], [719, "ivy.prune_empty"]], "prune_nest_at_index() (in module ivy)": [[628, "ivy.prune_nest_at_index"], [720, "ivy.prune_nest_at_index"]], "prune_nest_at_indices() (in module ivy)": [[628, "ivy.prune_nest_at_indices"], [721, "ivy.prune_nest_at_indices"]], "set_nest_at_index() (in module ivy)": [[628, "ivy.set_nest_at_index"], [722, "ivy.set_nest_at_index"]], "set_nest_at_indices() (in module ivy)": [[628, "ivy.set_nest_at_indices"], [723, "ivy.set_nest_at_indices"]], "ivy.functional.ivy.norms": [[629, "module-ivy.functional.ivy.norms"]], "layer_norm() (in module ivy)": [[629, "ivy.layer_norm"], [724, "ivy.layer_norm"]], "ivy.functional.ivy.random": [[630, "module-ivy.functional.ivy.random"]], "multinomial() (in module ivy)": [[630, "ivy.multinomial"], [725, "ivy.multinomial"]], "randint() (in module ivy)": [[630, "ivy.randint"], [726, "ivy.randint"]], "random_normal() (in module ivy)": [[630, "ivy.random_normal"], [727, "ivy.random_normal"]], "random_uniform() (in module ivy)": [[630, "ivy.random_uniform"], [728, "ivy.random_uniform"]], "seed() (in module ivy)": [[630, "ivy.seed"], [729, "ivy.seed"]], "shuffle() (in module ivy)": [[630, "ivy.shuffle"], [730, "ivy.shuffle"]], "argmax() (in module ivy)": [[631, "ivy.argmax"], [731, "ivy.argmax"]], "argmin() (in module ivy)": [[631, "ivy.argmin"], [732, "ivy.argmin"]], "argwhere() (in module ivy)": [[631, "ivy.argwhere"], [733, "ivy.argwhere"]], "ivy.functional.ivy.searching": [[631, "module-ivy.functional.ivy.searching"]], "nonzero() (in module ivy)": [[631, "ivy.nonzero"], [734, "ivy.nonzero"]], "where() (in module ivy)": [[631, "ivy.where"], [735, "ivy.where"]], "ivy.functional.ivy.set": [[632, "module-ivy.functional.ivy.set"]], "unique_all() (in module ivy)": [[632, "ivy.unique_all"], [736, "ivy.unique_all"]], "unique_counts() (in module ivy)": [[632, "ivy.unique_counts"], [737, "ivy.unique_counts"]], "unique_inverse() (in module ivy)": [[632, "ivy.unique_inverse"], [738, "ivy.unique_inverse"]], "unique_values() (in module ivy)": [[632, "ivy.unique_values"], [739, "ivy.unique_values"]], "argsort() (in module ivy)": [[633, "ivy.argsort"], [740, "ivy.argsort"]], "ivy.functional.ivy.sorting": [[633, "module-ivy.functional.ivy.sorting"]], "msort() (in module ivy)": [[633, "ivy.msort"], [741, "ivy.msort"]], "searchsorted() (in module ivy)": [[633, "ivy.searchsorted"], [742, "ivy.searchsorted"]], "sort() (in module ivy)": [[633, "ivy.sort"], [743, "ivy.sort"]], "cumprod() (in module ivy)": [[634, "ivy.cumprod"], [744, "ivy.cumprod"]], "cumsum() (in module ivy)": [[634, "ivy.cumsum"], [745, "ivy.cumsum"]], "einsum() (in module ivy)": [[634, "ivy.einsum"], [746, "ivy.einsum"]], "ivy.functional.ivy.statistical": [[634, "module-ivy.functional.ivy.statistical"]], "max() (in module ivy)": [[634, "ivy.max"], [747, "ivy.max"]], "mean() (in module ivy)": [[634, "ivy.mean"], [748, "ivy.mean"]], "min() (in module ivy)": [[634, "ivy.min"], [749, "ivy.min"]], "prod() (in module ivy)": [[634, "ivy.prod"], [750, "ivy.prod"]], "std() (in module ivy)": [[634, "ivy.std"], [751, "ivy.std"]], "sum() (in module ivy)": [[634, "ivy.sum"], [752, "ivy.sum"]], "var() (in module ivy)": [[634, "ivy.var"], [753, "ivy.var"]], "all() (in module ivy)": [[635, "ivy.all"], [754, "ivy.all"]], "any() (in module ivy)": [[635, "ivy.any"], [755, "ivy.any"]], "ivy.functional.ivy.utility": [[635, "module-ivy.functional.ivy.utility"]], "load() (in module ivy)": [[635, "ivy.load"], [756, "ivy.load"]], "save() (in module ivy)": [[635, "ivy.save"], [757, "ivy.save"]], "conv1d() (ivy.array method)": [[637, "ivy.Array.conv1d"]], "conv1d() (ivy.container method)": [[637, "ivy.Container.conv1d"]], "conv1d_transpose() (ivy.array method)": [[638, "ivy.Array.conv1d_transpose"]], "conv1d_transpose() (ivy.container method)": [[638, "ivy.Container.conv1d_transpose"]], "conv2d() (ivy.array method)": [[639, "ivy.Array.conv2d"]], "conv2d() (ivy.container method)": [[639, "ivy.Container.conv2d"]], "conv2d_transpose() (ivy.array method)": [[640, "ivy.Array.conv2d_transpose"]], "conv2d_transpose() (ivy.container method)": [[640, "ivy.Container.conv2d_transpose"]], "conv3d() (ivy.array method)": [[641, "ivy.Array.conv3d"]], "conv3d() (ivy.container method)": [[641, "ivy.Container.conv3d"]], "conv3d_transpose() (ivy.array method)": [[642, "ivy.Array.conv3d_transpose"]], "conv3d_transpose() (ivy.container method)": [[642, "ivy.Container.conv3d_transpose"]], "depthwise_conv2d() (ivy.array method)": [[645, "ivy.Array.depthwise_conv2d"]], "depthwise_conv2d() (ivy.container method)": [[645, "ivy.Container.depthwise_conv2d"]], "dropout() (ivy.array method)": [[646, "ivy.Array.dropout"]], "dropout() (ivy.container method)": [[646, "ivy.Container.dropout"]], "linear() (ivy.array method)": [[647, "ivy.Array.linear"]], "linear() (ivy.container method)": [[647, "ivy.Container.linear"]], "lstm_update() (ivy.array method)": [[648, "ivy.Array.lstm_update"]], "lstm_update() (ivy.container method)": [[648, "ivy.Container.lstm_update"]], "multi_head_attention() (ivy.array method)": [[649, "ivy.Array.multi_head_attention"]], "multi_head_attention() (ivy.container method)": [[649, "ivy.Container.multi_head_attention"]], "scaled_dot_product_attention() (ivy.array method)": [[652, "ivy.Array.scaled_dot_product_attention"]], "scaled_dot_product_attention() (ivy.container method)": [[652, "ivy.Container.scaled_dot_product_attention"]], "cholesky() (ivy.array method)": [[653, "ivy.Array.cholesky"]], "cholesky() (ivy.container method)": [[653, "ivy.Container.cholesky"]], "cross() (ivy.array method)": [[654, "ivy.Array.cross"]], "cross() (ivy.container method)": [[654, "ivy.Container.cross"]], "det() (ivy.array method)": [[655, "ivy.Array.det"]], "det() (ivy.container method)": [[655, "ivy.Container.det"]], "diag() (ivy.array method)": [[656, "ivy.Array.diag"]], "diag() (ivy.container method)": [[656, "ivy.Container.diag"]], "diagonal() (ivy.array method)": [[657, "ivy.Array.diagonal"]], "diagonal() (ivy.container method)": [[657, "ivy.Container.diagonal"]], "eigh() (ivy.array method)": [[659, "ivy.Array.eigh"]], "eigh() (ivy.container method)": [[659, "ivy.Container.eigh"]], "eigvalsh() (ivy.array method)": [[660, "ivy.Array.eigvalsh"]], "eigvalsh() (ivy.container method)": [[660, "ivy.Container.eigvalsh"]], "inner() (ivy.array method)": [[661, "ivy.Array.inner"]], "inner() (ivy.container method)": [[661, "ivy.Container.inner"]], "inv() (ivy.array method)": [[662, "ivy.Array.inv"]], "inv() (ivy.container method)": [[662, "ivy.Container.inv"]], "matmul() (ivy.array method)": [[664, "ivy.Array.matmul"]], "matmul() (ivy.container method)": [[664, "ivy.Container.matmul"]], "matrix_norm() (ivy.array method)": [[665, "ivy.Array.matrix_norm"]], "matrix_norm() (ivy.container method)": [[665, "ivy.Container.matrix_norm"]], "matrix_power() (ivy.array method)": [[666, "ivy.Array.matrix_power"]], "matrix_power() (ivy.container method)": [[666, "ivy.Container.matrix_power"]], "matrix_rank() (ivy.array method)": [[667, "ivy.Array.matrix_rank"]], "matrix_rank() (ivy.container method)": [[667, "ivy.Container.matrix_rank"]], "matrix_transpose() (ivy.array method)": [[668, "ivy.Array.matrix_transpose"]], "matrix_transpose() (ivy.container method)": [[668, "ivy.Container.matrix_transpose"]], "outer() (ivy.array method)": [[669, "ivy.Array.outer"]], "outer() (ivy.container method)": [[669, "ivy.Container.outer"]], "pinv() (ivy.array method)": [[670, "ivy.Array.pinv"]], "pinv() (ivy.container method)": [[670, "ivy.Container.pinv"]], "qr() (ivy.array method)": [[671, "ivy.Array.qr"]], "qr() (ivy.container method)": [[671, "ivy.Container.qr"]], "slogdet() (ivy.array method)": [[672, "ivy.Array.slogdet"]], "slogdet() (ivy.container method)": [[672, "ivy.Container.slogdet"]], "solve() (ivy.array method)": [[673, "ivy.Array.solve"]], "solve() (ivy.container method)": [[673, "ivy.Container.solve"]], "svd() (ivy.array method)": [[674, "ivy.Array.svd"]], "svd() (ivy.container method)": [[674, "ivy.Container.svd"]], "svdvals() (ivy.array method)": [[675, "ivy.Array.svdvals"]], "svdvals() (ivy.container method)": [[675, "ivy.Container.svdvals"]], "tensordot() (ivy.array method)": [[676, "ivy.Array.tensordot"]], "tensordot() (ivy.container method)": [[676, "ivy.Container.tensordot"]], "tensorsolve() (ivy.array method)": [[677, "ivy.Array.tensorsolve"]], "tensorsolve() (ivy.container method)": [[677, "ivy.Container.tensorsolve"]], "trace() (ivy.array method)": [[678, "ivy.Array.trace"]], "trace() (ivy.container method)": [[678, "ivy.Container.trace"]], "vander() (ivy.array method)": [[679, "ivy.Array.vander"]], "vander() (ivy.container method)": [[679, "ivy.Container.vander"]], "vecdot() (ivy.array method)": [[680, "ivy.Array.vecdot"]], "vecdot() (ivy.container method)": [[680, "ivy.Container.vecdot"]], "vector_norm() (ivy.array method)": [[681, "ivy.Array.vector_norm"]], "vector_norm() (ivy.container method)": [[681, "ivy.Container.vector_norm"]], "vector_to_skew_symmetric_matrix() (ivy.array method)": [[682, "ivy.Array.vector_to_skew_symmetric_matrix"]], "vector_to_skew_symmetric_matrix() (ivy.container method)": [[682, "ivy.Container.vector_to_skew_symmetric_matrix"]], "binary_cross_entropy() (ivy.array method)": [[683, "ivy.Array.binary_cross_entropy"]], "binary_cross_entropy() (ivy.container method)": [[683, "ivy.Container.binary_cross_entropy"]], "cross_entropy() (ivy.array method)": [[684, "ivy.Array.cross_entropy"]], "cross_entropy() (ivy.container method)": [[684, "ivy.Container.cross_entropy"]], "sparse_cross_entropy() (ivy.array method)": [[685, "ivy.Array.sparse_cross_entropy"]], "sparse_cross_entropy() (ivy.container method)": [[685, "ivy.Container.sparse_cross_entropy"]], "clip() (ivy.array method)": [[686, "ivy.Array.clip"]], "clip() (ivy.container method)": [[686, "ivy.Container.clip"]], "concat() (ivy.array method)": [[687, "ivy.Array.concat"]], "concat() (ivy.container method)": [[687, "ivy.Container.concat"]], "constant_pad() (ivy.array method)": [[688, "ivy.Array.constant_pad"]], "constant_pad() (ivy.container method)": [[688, "ivy.Container.constant_pad"]], "expand_dims() (ivy.array method)": [[689, "ivy.Array.expand_dims"]], "expand_dims() (ivy.container method)": [[689, "ivy.Container.expand_dims"]], "flip() (ivy.array method)": [[690, "ivy.Array.flip"]], "flip() (ivy.container method)": [[690, "ivy.Container.flip"]], "permute_dims() (ivy.array method)": [[691, "ivy.Array.permute_dims"]], "permute_dims() (ivy.container method)": [[691, "ivy.Container.permute_dims"]], "repeat() (ivy.array method)": [[692, "ivy.Array.repeat"]], "repeat() (ivy.container method)": [[692, "ivy.Container.repeat"]], "reshape() (ivy.array method)": [[693, "ivy.Array.reshape"]], "reshape() (ivy.container method)": [[693, "ivy.Container.reshape"]], "roll() (ivy.array method)": [[694, "ivy.Array.roll"]], "roll() (ivy.container method)": [[694, "ivy.Container.roll"]], "split() (ivy.array method)": [[695, "ivy.Array.split"]], "split() (ivy.container method)": [[695, "ivy.Container.split"]], "squeeze() (ivy.array method)": [[696, "ivy.Array.squeeze"]], "squeeze() (ivy.container method)": [[696, "ivy.Container.squeeze"]], "stack() (ivy.array method)": [[697, "ivy.Array.stack"]], "stack() (ivy.container method)": [[697, "ivy.Container.stack"]], "swapaxes() (ivy.array method)": [[698, "ivy.Array.swapaxes"]], "swapaxes() (ivy.container method)": [[698, "ivy.Container.swapaxes"]], "tile() (ivy.array method)": [[699, "ivy.Array.tile"]], "tile() (ivy.container method)": [[699, "ivy.Container.tile"]], "unstack() (ivy.array method)": [[700, "ivy.Array.unstack"]], "unstack() (ivy.container method)": [[700, "ivy.Container.unstack"]], "zero_pad() (ivy.array method)": [[701, "ivy.Array.zero_pad"]], "zero_pad() (ivy.container method)": [[701, "ivy.Container.zero_pad"]], "layer_norm() (ivy.array method)": [[724, "ivy.Array.layer_norm"]], "layer_norm() (ivy.container method)": [[724, "ivy.Container.layer_norm"]], "multinomial() (ivy.array method)": [[725, "ivy.Array.multinomial"]], "multinomial() (ivy.container method)": [[725, "ivy.Container.multinomial"]], "randint() (ivy.array method)": [[726, "ivy.Array.randint"]], "randint() (ivy.container method)": [[726, "ivy.Container.randint"]], "random_normal() (ivy.array method)": [[727, "ivy.Array.random_normal"]], "random_normal() (ivy.container method)": [[727, "ivy.Container.random_normal"]], "random_uniform() (ivy.array method)": [[728, "ivy.Array.random_uniform"]], "random_uniform() (ivy.container method)": [[728, "ivy.Container.random_uniform"]], "shuffle() (ivy.array method)": [[730, "ivy.Array.shuffle"]], "shuffle() (ivy.container method)": [[730, "ivy.Container.shuffle"]], "argmax() (ivy.array method)": [[731, "ivy.Array.argmax"]], "argmax() (ivy.container method)": [[731, "ivy.Container.argmax"]], "argmin() (ivy.array method)": [[732, "ivy.Array.argmin"]], "argmin() (ivy.container method)": [[732, "ivy.Container.argmin"]], "argwhere() (ivy.array method)": [[733, "ivy.Array.argwhere"]], "argwhere() (ivy.container method)": [[733, "ivy.Container.argwhere"]], "nonzero() (ivy.array method)": [[734, "ivy.Array.nonzero"]], "nonzero() (ivy.container method)": [[734, "ivy.Container.nonzero"]], "where() (ivy.array method)": [[735, "ivy.Array.where"]], "where() (ivy.container method)": [[735, "ivy.Container.where"]], "unique_all() (ivy.array method)": [[736, "ivy.Array.unique_all"]], "unique_all() (ivy.container method)": [[736, "ivy.Container.unique_all"]], "unique_counts() (ivy.array method)": [[737, "ivy.Array.unique_counts"]], "unique_counts() (ivy.container method)": [[737, "ivy.Container.unique_counts"]], "unique_inverse() (ivy.array method)": [[738, "ivy.Array.unique_inverse"]], "unique_inverse() (ivy.container method)": [[738, "ivy.Container.unique_inverse"]], "unique_values() (ivy.array method)": [[739, "ivy.Array.unique_values"]], "unique_values() (ivy.container method)": [[739, "ivy.Container.unique_values"]], "argsort() (ivy.array method)": [[740, "ivy.Array.argsort"]], "argsort() (ivy.container method)": [[740, "ivy.Container.argsort"]], "msort() (ivy.array method)": [[741, "ivy.Array.msort"]], "msort() (ivy.container method)": [[741, "ivy.Container.msort"]], "searchsorted() (ivy.array method)": [[742, "ivy.Array.searchsorted"]], "searchsorted() (ivy.container method)": [[742, "ivy.Container.searchsorted"]], "sort() (ivy.array method)": [[743, "ivy.Array.sort"]], "sort() (ivy.container method)": [[743, "ivy.Container.sort"]], "cumprod() (ivy.array method)": [[744, "ivy.Array.cumprod"]], "cumprod() (ivy.container method)": [[744, "ivy.Container.cumprod"]], "cumsum() (ivy.array method)": [[745, "ivy.Array.cumsum"]], "cumsum() (ivy.container method)": [[745, "ivy.Container.cumsum"]], "einsum() (ivy.array method)": [[746, "ivy.Array.einsum"]], "einsum() (ivy.container method)": [[746, "ivy.Container.einsum"]], "max() (ivy.array method)": [[747, "ivy.Array.max"]], "max() (ivy.container method)": [[747, "ivy.Container.max"]], "mean() (ivy.array method)": [[748, "ivy.Array.mean"]], "mean() (ivy.container method)": [[748, "ivy.Container.mean"]], "min() (ivy.array method)": [[749, "ivy.Array.min"]], "min() (ivy.container method)": [[749, "ivy.Container.min"]], "prod() (ivy.array method)": [[750, "ivy.Array.prod"]], "prod() (ivy.container method)": [[750, "ivy.Container.prod"]], "std() (ivy.array method)": [[751, "ivy.Array.std"]], "std() (ivy.container method)": [[751, "ivy.Container.std"]], "sum() (ivy.array method)": [[752, "ivy.Array.sum"]], "sum() (ivy.container method)": [[752, "ivy.Container.sum"]], "var() (ivy.array method)": [[753, "ivy.Array.var"]], "var() (ivy.container method)": [[753, "ivy.Container.var"]], "all() (ivy.array method)": [[754, "ivy.Array.all"]], "all() (ivy.container method)": [[754, "ivy.Container.all"]], "any() (ivy.array method)": [[755, "ivy.Array.any"]], "any() (ivy.container method)": [[755, "ivy.Container.any"]], "assert_all_close() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_all_close"]], "assert_same_type() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_same_type"]], "assert_same_type_and_shape() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.assert_same_type_and_shape"]], "check_unsupported_device() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_device"]], "check_unsupported_device_and_dtype() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_device_and_dtype"]], "check_unsupported_dtype() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.check_unsupported_dtype"]], "ivy_tests.test_ivy.helpers.assertions": [[758, "module-ivy_tests.test_ivy.helpers.assertions"]], "test_unsupported_function() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.test_unsupported_function"]], "value_test() (in module ivy_tests.test_ivy.helpers.assertions)": [[758, "ivy_tests.test_ivy.helpers.assertions.value_test"]], "ivy_tests.test_ivy.helpers.available_frameworks": [[759, "module-ivy_tests.test_ivy.helpers.available_frameworks"]], "args_to_container() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.args_to_container"]], "args_to_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.args_to_frontend"]], "arrays_to_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.arrays_to_frontend"]], "as_lists() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.as_lists"]], "convtrue() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.convtrue"]], "create_args_kwargs() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.create_args_kwargs"]], "flatten() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten"]], "flatten_and_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_and_to_np"]], "flatten_frontend() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend"]], "flatten_frontend_fw_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend_fw_to_np"]], "flatten_frontend_to_np() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.flatten_frontend_to_np"]], "get_frontend_ret() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.get_frontend_ret"]], "get_ret_and_flattened_np_array() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.get_ret_and_flattened_np_array"]], "gradient_incompatible_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_incompatible_function"]], "gradient_test() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_test"]], "gradient_unsupported_dtypes() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.gradient_unsupported_dtypes"]], "ivy_tests.test_ivy.helpers.function_testing": [[760, "module-ivy_tests.test_ivy.helpers.function_testing"]], "kwargs_to_args_n_kwargs() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.kwargs_to_args_n_kwargs"]], "test_frontend_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_frontend_function"]], "test_frontend_method() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_frontend_method"]], "test_function() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function"]], "test_function_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function_backend_computation"]], "test_function_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_function_ground_truth_computation"]], "test_gradient_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_gradient_backend_computation"]], "test_gradient_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_gradient_ground_truth_computation"]], "test_method() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method"]], "test_method_backend_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method_backend_computation"]], "test_method_ground_truth_computation() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.test_method_ground_truth_computation"]], "traced_if_required() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.traced_if_required"]], "wrap_frontend_function_args() (in module ivy_tests.test_ivy.helpers.function_testing)": [[760, "ivy_tests.test_ivy.helpers.function_testing.wrap_frontend_function_args"]], "current_frontend_config (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG"]], "interruptedtest": [[761, "ivy_tests.test_ivy.helpers.globals.InterruptedTest"]], "testdata (class in ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData"]], "__init__() (ivy_tests.test_ivy.helpers.globals.interruptedtest method)": [[761, "ivy_tests.test_ivy.helpers.globals.InterruptedTest.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.globals.testdata method)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.__init__"]], "fn_name (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.fn_name"]], "fn_tree (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.fn_tree"]], "is_method (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.is_method"]], "ivy_tests.test_ivy.helpers.globals": [[761, "module-ivy_tests.test_ivy.helpers.globals"]], "setup_api_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.setup_api_test"]], "setup_frontend_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.setup_frontend_test"]], "supported_device_dtypes (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.supported_device_dtypes"]], "teardown_api_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.teardown_api_test"]], "teardown_frontend_test() (in module ivy_tests.test_ivy.helpers.globals)": [[761, "ivy_tests.test_ivy.helpers.globals.teardown_frontend_test"]], "test_fn (ivy_tests.test_ivy.helpers.globals.testdata attribute)": [[761, "ivy_tests.test_ivy.helpers.globals.TestData.test_fn"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers": [[762, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers"]], "array_and_broadcastable_shape() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_and_broadcastable_shape"]], "array_bools() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_bools"]], "array_helpers_dtype_info_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_helpers_dtype_info_helper"]], "array_indices_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_indices_axis"]], "array_indices_put_along_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_indices_put_along_axis"]], "array_values() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.array_values"]], "arrays_and_axes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.arrays_and_axes"]], "arrays_for_pooling() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.arrays_for_pooling"]], "broadcast_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.broadcast_shapes"]], "cond_data_gen_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.cond_data_gen_helper"]], "create_concatenable_arrays_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.create_concatenable_arrays_dtypes"]], "create_nested_input() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.create_nested_input"]], "dtype_and_values() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_and_values"]], "dtype_array_query() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_array_query"]], "dtype_array_query_val() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_array_query_val"]], "dtype_values_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.dtype_values_axis"]], "einsum_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.einsum_helper"]], "get_first_solve_batch_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_first_solve_batch_matrix"]], "get_first_solve_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_first_solve_matrix"]], "get_second_solve_batch_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_second_solve_batch_matrix"]], "get_second_solve_matrix() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.get_second_solve_matrix"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers": [[763, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers"]], "list_of_size() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.list_of_size"]], "lists() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.lists"]], "mutually_broadcastable_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.mutually_broadcastable_shapes"]], "prod() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers)": [[763, "ivy_tests.test_ivy.helpers.hypothesis_helpers.array_helpers.prod"]], "array_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.array_dtypes"]], "cast_filter() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.cast_filter"]], "cast_filter_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.cast_filter_helper"]], "get_castable_dtype() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.get_castable_dtype"]], "get_dtypes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers)": [[764, "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers.get_dtypes"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers": [[764, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers"]], "broadcasterror": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.BroadcastError"]], "apply_safety_factor() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.apply_safety_factor"]], "broadcast_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.broadcast_shapes"]], "embedding_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.embedding_helper"]], "general_helpers_dtype_info_helper() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.general_helpers_dtype_info_helper"]], "get_axis() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_axis"]], "get_bounds() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_bounds"]], "get_mean_std() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_mean_std"]], "get_shape() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.get_shape"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers": [[765, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers"]], "matrix_is_stable() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.matrix_is_stable"]], "reshape_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.reshape_shapes"]], "subsets() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.subsets"]], "two_broadcastable_shapes() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.two_broadcastable_shapes"]], "x_and_filters() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers)": [[765, "ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers.x_and_filters"]], "floats() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.floats"]], "ints() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.ints"]], "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers": [[766, "module-ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers"]], "number() (in module ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers)": [[766, "ivy_tests.test_ivy.helpers.hypothesis_helpers.number_helpers.number"]], "backend_proc() (in module ivy_tests.test_ivy.helpers.multiprocessing)": [[767, "ivy_tests.test_ivy.helpers.multiprocessing.backend_proc"]], "frontend_proc() (in module ivy_tests.test_ivy.helpers.multiprocessing)": [[767, "ivy_tests.test_ivy.helpers.multiprocessing.frontend_proc"]], "ivy_tests.test_ivy.helpers.multiprocessing": [[767, "module-ivy_tests.test_ivy.helpers.multiprocessing"]], "backendhandler (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler"]], "backendhandlermode (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode"]], "setbackend (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandlermode attribute)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode.SetBackend"]], "withbackend (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandlermode attribute)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandlerMode.WithBackend"]], "withbackendcontext (class in ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext"]], "__init__() (ivy_tests.test_ivy.helpers.pipeline_helper.withbackendcontext method)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.WithBackendContext.__init__"]], "get_frontend_config() (in module ivy_tests.test_ivy.helpers.pipeline_helper)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.get_frontend_config"]], "ivy_tests.test_ivy.helpers.pipeline_helper": [[768, "module-ivy_tests.test_ivy.helpers.pipeline_helper"]], "update_backend() (ivy_tests.test_ivy.helpers.pipeline_helper.backendhandler class method)": [[768, "ivy_tests.test_ivy.helpers.pipeline_helper.BackendHandler.update_backend"]], "frontendmethoddata (class in ivy_tests.test_ivy.helpers.structs)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData"]], "__init__() (ivy_tests.test_ivy.helpers.structs.frontendmethoddata method)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.__init__"]], "framework_init_module (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.framework_init_module"]], "init_name (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.init_name"]], "ivy_init_module (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.ivy_init_module"]], "ivy_tests.test_ivy.helpers.structs": [[769, "module-ivy_tests.test_ivy.helpers.structs"]], "method_name (ivy_tests.test_ivy.helpers.structs.frontendmethoddata attribute)": [[769, "ivy_tests.test_ivy.helpers.structs.FrontendMethodData.method_name"]], "dynamicflag (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag"]], "frontendfunctiontestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags"]], "frontendinittestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags"]], "frontendmethodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags"]], "functiontestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags"]], "initmethodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags"]], "methodtestflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags"]], "testflags (class in ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.dynamicflag method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendfunctiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendinittestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.functiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.initmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags.__init__"]], "__init__() (ivy_tests.test_ivy.helpers.test_parameter_flags.methodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags.__init__"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendfunctiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendFunctionTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendinittestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendInitTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.frontendmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FrontendMethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.functiontestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.FunctionTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.initmethodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.InitMethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.methodtestflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.MethodTestFlags.apply_flags"]], "apply_flags() (ivy_tests.test_ivy.helpers.test_parameter_flags.testflags method)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.TestFlags.apply_flags"]], "build_flag() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.build_flag"]], "frontend_function_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_function_flags"]], "frontend_init_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_init_flags"]], "frontend_method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.frontend_method_flags"]], "function_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.function_flags"]], "init_method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.init_method_flags"]], "ivy_tests.test_ivy.helpers.test_parameter_flags": [[770, "module-ivy_tests.test_ivy.helpers.test_parameter_flags"]], "method_flags() (in module ivy_tests.test_ivy.helpers.test_parameter_flags)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.method_flags"]], "strategy (ivy_tests.test_ivy.helpers.test_parameter_flags.dynamicflag attribute)": [[770, "ivy_tests.test_ivy.helpers.test_parameter_flags.DynamicFlag.strategy"]], "handle_frontend_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_frontend_method"]], "handle_frontend_test() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_frontend_test"]], "handle_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_method"]], "handle_test() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.handle_test"]], "ivy_tests.test_ivy.helpers.testing_helpers": [[771, "module-ivy_tests.test_ivy.helpers.testing_helpers"]], "num_positional_args() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args"]], "num_positional_args_helper() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args_helper"]], "num_positional_args_method() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.num_positional_args_method"]], "seed() (in module ivy_tests.test_ivy.helpers.testing_helpers)": [[771, "ivy_tests.test_ivy.helpers.testing_helpers.seed"]], "elu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ELU"]], "geglu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.GEGLU"]], "gelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.GELU"]], "hardswish (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Hardswish"]], "leakyrelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LeakyReLU"]], "logsigmoid (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LogSigmoid"]], "logsoftmax (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.LogSoftmax"]], "logit (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Logit"]], "mish (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Mish"]], "prelu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.PReLU"]], "relu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ReLU"]], "relu6 (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.ReLU6"]], "selu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.SeLU"]], "silu (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.SiLU"]], "sigmoid (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Sigmoid"]], "softmax (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Softmax"]], "softplus (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Softplus"]], "tanh (class in ivy.stateful.activations)": [[775, "ivy.stateful.activations.Tanh"]], "__init__() (ivy.stateful.activations.elu method)": [[775, "ivy.stateful.activations.ELU.__init__"]], "__init__() (ivy.stateful.activations.geglu method)": [[775, "ivy.stateful.activations.GEGLU.__init__"]], "__init__() (ivy.stateful.activations.gelu method)": [[775, "ivy.stateful.activations.GELU.__init__"]], "__init__() (ivy.stateful.activations.hardswish method)": [[775, "ivy.stateful.activations.Hardswish.__init__"]], "__init__() (ivy.stateful.activations.leakyrelu method)": [[775, "ivy.stateful.activations.LeakyReLU.__init__"]], "__init__() (ivy.stateful.activations.logsigmoid method)": [[775, "ivy.stateful.activations.LogSigmoid.__init__"]], "__init__() (ivy.stateful.activations.logsoftmax method)": [[775, "ivy.stateful.activations.LogSoftmax.__init__"]], "__init__() (ivy.stateful.activations.logit method)": [[775, "ivy.stateful.activations.Logit.__init__"]], "__init__() (ivy.stateful.activations.mish method)": [[775, "ivy.stateful.activations.Mish.__init__"]], "__init__() (ivy.stateful.activations.prelu method)": [[775, "ivy.stateful.activations.PReLU.__init__"]], "__init__() (ivy.stateful.activations.relu method)": [[775, "ivy.stateful.activations.ReLU.__init__"]], "__init__() (ivy.stateful.activations.relu6 method)": [[775, "ivy.stateful.activations.ReLU6.__init__"]], "__init__() (ivy.stateful.activations.selu method)": [[775, "ivy.stateful.activations.SeLU.__init__"]], "__init__() (ivy.stateful.activations.silu method)": [[775, "ivy.stateful.activations.SiLU.__init__"]], "__init__() (ivy.stateful.activations.sigmoid method)": [[775, "ivy.stateful.activations.Sigmoid.__init__"]], "__init__() (ivy.stateful.activations.softmax method)": [[775, "ivy.stateful.activations.Softmax.__init__"]], "__init__() (ivy.stateful.activations.softplus method)": [[775, "ivy.stateful.activations.Softplus.__init__"]], "__init__() (ivy.stateful.activations.tanh method)": [[775, "ivy.stateful.activations.Tanh.__init__"]], "ivy.stateful.activations": [[775, "module-ivy.stateful.activations"]], "moduleconverters (class in ivy.stateful.converters)": [[776, "ivy.stateful.converters.ModuleConverters"]], "from_flax_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_flax_module"]], "from_haiku_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_haiku_module"]], "from_keras_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_keras_module"]], "from_paddle_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_paddle_module"]], "from_torch_module() (ivy.stateful.converters.moduleconverters static method)": [[776, "ivy.stateful.converters.ModuleConverters.from_torch_module"]], "ivy.stateful.converters": [[776, "module-ivy.stateful.converters"]], "to_ivy_module() (in module ivy.stateful.converters)": [[776, "ivy.stateful.converters.to_ivy_module"]], "to_keras_module() (ivy.stateful.converters.moduleconverters method)": [[776, "ivy.stateful.converters.ModuleConverters.to_keras_module"]], "modulehelpers (class in ivy.stateful.helpers)": [[777, "ivy.stateful.helpers.ModuleHelpers"]], "ivy.stateful.helpers": [[777, "module-ivy.stateful.helpers"]], "constant (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Constant"]], "firstlayersiren (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.FirstLayerSiren"]], "glorotuniform (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.GlorotUniform"]], "initializer (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Initializer"]], "kaimingnormal (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.KaimingNormal"]], "ones (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Ones"]], "randomnormal (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.RandomNormal"]], "siren (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Siren"]], "uniform (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Uniform"]], "zeros (class in ivy.stateful.initializers)": [[778, "ivy.stateful.initializers.Zeros"]], "__init__() (ivy.stateful.initializers.constant method)": [[778, "ivy.stateful.initializers.Constant.__init__"]], "__init__() (ivy.stateful.initializers.firstlayersiren method)": [[778, "ivy.stateful.initializers.FirstLayerSiren.__init__"]], "__init__() (ivy.stateful.initializers.glorotuniform method)": [[778, "ivy.stateful.initializers.GlorotUniform.__init__"]], "__init__() (ivy.stateful.initializers.kaimingnormal method)": [[778, "ivy.stateful.initializers.KaimingNormal.__init__"]], "__init__() (ivy.stateful.initializers.ones method)": [[778, "ivy.stateful.initializers.Ones.__init__"]], "__init__() (ivy.stateful.initializers.randomnormal method)": [[778, "ivy.stateful.initializers.RandomNormal.__init__"]], "__init__() (ivy.stateful.initializers.siren method)": [[778, "ivy.stateful.initializers.Siren.__init__"]], "__init__() (ivy.stateful.initializers.uniform method)": [[778, "ivy.stateful.initializers.Uniform.__init__"]], "__init__() (ivy.stateful.initializers.zeros method)": [[778, "ivy.stateful.initializers.Zeros.__init__"]], "create_variables() (ivy.stateful.initializers.constant method)": [[778, "ivy.stateful.initializers.Constant.create_variables"]], "create_variables() (ivy.stateful.initializers.initializer method)": [[778, "ivy.stateful.initializers.Initializer.create_variables"]], "create_variables() (ivy.stateful.initializers.kaimingnormal method)": [[778, "ivy.stateful.initializers.KaimingNormal.create_variables"]], "create_variables() (ivy.stateful.initializers.randomnormal method)": [[778, "ivy.stateful.initializers.RandomNormal.create_variables"]], "create_variables() (ivy.stateful.initializers.uniform method)": [[778, "ivy.stateful.initializers.Uniform.create_variables"]], "ivy.stateful.initializers": [[778, "module-ivy.stateful.initializers"]], "adaptiveavgpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AdaptiveAvgPool1d"]], "adaptiveavgpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AdaptiveAvgPool2d"]], "avgpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool1D"]], "avgpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool2D"]], "avgpool3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.AvgPool3D"]], "conv1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv1D"]], "conv1dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv1DTranspose"]], "conv2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv2D"]], "conv2dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv2DTranspose"]], "conv3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv3D"]], "conv3dtranspose (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Conv3DTranspose"]], "dct (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Dct"]], "depthwiseconv2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.DepthwiseConv2D"]], "dropout (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Dropout"]], "embedding (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Embedding"]], "fft (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.FFT"]], "ifft (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.IFFT"]], "identity (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Identity"]], "lstm (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.LSTM"]], "linear (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.Linear"]], "maxpool1d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool1D"]], "maxpool2d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool2D"]], "maxpool3d (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MaxPool3D"]], "multiheadattention (class in ivy.stateful.layers)": [[779, "ivy.stateful.layers.MultiHeadAttention"]], "__init__() (ivy.stateful.layers.adaptiveavgpool1d method)": [[779, "ivy.stateful.layers.AdaptiveAvgPool1d.__init__"]], "__init__() (ivy.stateful.layers.adaptiveavgpool2d method)": [[779, "ivy.stateful.layers.AdaptiveAvgPool2d.__init__"]], "__init__() (ivy.stateful.layers.avgpool1d method)": [[779, "ivy.stateful.layers.AvgPool1D.__init__"]], "__init__() (ivy.stateful.layers.avgpool2d method)": [[779, "ivy.stateful.layers.AvgPool2D.__init__"]], "__init__() (ivy.stateful.layers.avgpool3d method)": [[779, "ivy.stateful.layers.AvgPool3D.__init__"]], "__init__() (ivy.stateful.layers.conv1d method)": [[779, "ivy.stateful.layers.Conv1D.__init__"]], "__init__() (ivy.stateful.layers.conv1dtranspose method)": [[779, "ivy.stateful.layers.Conv1DTranspose.__init__"]], "__init__() (ivy.stateful.layers.conv2d method)": [[779, "ivy.stateful.layers.Conv2D.__init__"]], "__init__() (ivy.stateful.layers.conv2dtranspose method)": [[779, "ivy.stateful.layers.Conv2DTranspose.__init__"]], "__init__() (ivy.stateful.layers.conv3d method)": [[779, "ivy.stateful.layers.Conv3D.__init__"]], "__init__() (ivy.stateful.layers.conv3dtranspose method)": [[779, "ivy.stateful.layers.Conv3DTranspose.__init__"]], "__init__() (ivy.stateful.layers.dct method)": [[779, "ivy.stateful.layers.Dct.__init__"]], "__init__() (ivy.stateful.layers.depthwiseconv2d method)": [[779, "ivy.stateful.layers.DepthwiseConv2D.__init__"]], "__init__() (ivy.stateful.layers.dropout method)": [[779, "ivy.stateful.layers.Dropout.__init__"]], "__init__() (ivy.stateful.layers.embedding method)": [[779, "ivy.stateful.layers.Embedding.__init__"]], "__init__() (ivy.stateful.layers.fft method)": [[779, "ivy.stateful.layers.FFT.__init__"]], "__init__() (ivy.stateful.layers.ifft method)": [[779, "ivy.stateful.layers.IFFT.__init__"]], "__init__() (ivy.stateful.layers.identity method)": [[779, "ivy.stateful.layers.Identity.__init__"]], "__init__() (ivy.stateful.layers.lstm method)": [[779, "ivy.stateful.layers.LSTM.__init__"]], "__init__() (ivy.stateful.layers.linear method)": [[779, "ivy.stateful.layers.Linear.__init__"]], "__init__() (ivy.stateful.layers.maxpool1d method)": [[779, "ivy.stateful.layers.MaxPool1D.__init__"]], "__init__() (ivy.stateful.layers.maxpool2d method)": [[779, "ivy.stateful.layers.MaxPool2D.__init__"]], "__init__() (ivy.stateful.layers.maxpool3d method)": [[779, "ivy.stateful.layers.MaxPool3D.__init__"]], "__init__() (ivy.stateful.layers.multiheadattention method)": [[779, "ivy.stateful.layers.MultiHeadAttention.__init__"]], "get_initial_state() (ivy.stateful.layers.lstm method)": [[779, "ivy.stateful.layers.LSTM.get_initial_state"]], "ivy.stateful.layers": [[779, "module-ivy.stateful.layers"]], "binarycrossentropyloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.BinaryCrossEntropyLoss"]], "crossentropyloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.CrossEntropyLoss"]], "logpoissonloss (class in ivy.stateful.losses)": [[780, "ivy.stateful.losses.LogPoissonLoss"]], "__init__() (ivy.stateful.losses.binarycrossentropyloss method)": [[780, "ivy.stateful.losses.BinaryCrossEntropyLoss.__init__"]], "__init__() (ivy.stateful.losses.crossentropyloss method)": [[780, "ivy.stateful.losses.CrossEntropyLoss.__init__"]], "__init__() (ivy.stateful.losses.logpoissonloss method)": [[780, "ivy.stateful.losses.LogPoissonLoss.__init__"]], "ivy.stateful.losses": [[780, "module-ivy.stateful.losses"]], "module (class in ivy.stateful.module)": [[781, "ivy.stateful.module.Module"]], "modulemeta (class in ivy.stateful.module)": [[781, "ivy.stateful.module.ModuleMeta"]], "__call__() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.__call__"]], "__init__() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.__init__"]], "buffers (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.buffers"]], "build() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.build"]], "build_mode (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.build_mode"]], "built (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.built"]], "device (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.device"]], "dtype (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.dtype"]], "eval() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.eval"]], "ivy.stateful.module": [[781, "module-ivy.stateful.module"]], "load() (ivy.stateful.module.module static method)": [[781, "ivy.stateful.module.Module.load"]], "module_dict (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.module_dict"]], "register_buffer() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.register_buffer"]], "register_parameter() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.register_parameter"]], "save() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.save"]], "save_weights() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.save_weights"]], "show_graph() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.show_graph"]], "state_dict (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.state_dict"]], "to_device() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.to_device"]], "trace_graph() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.trace_graph"]], "train() (ivy.stateful.module.module method)": [[781, "ivy.stateful.module.Module.train"]], "training (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.training"]], "v (ivy.stateful.module.module property)": [[781, "ivy.stateful.module.Module.v"]], "batchnorm2d (class in ivy.stateful.norms)": [[782, "ivy.stateful.norms.BatchNorm2D"]], "layernorm (class in ivy.stateful.norms)": [[782, "ivy.stateful.norms.LayerNorm"]], "__init__() (ivy.stateful.norms.batchnorm2d method)": [[782, "ivy.stateful.norms.BatchNorm2D.__init__"]], "__init__() (ivy.stateful.norms.layernorm method)": [[782, "ivy.stateful.norms.LayerNorm.__init__"]], "ivy.stateful.norms": [[782, "module-ivy.stateful.norms"]], "adam (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.Adam"]], "adamw (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.AdamW"]], "lamb (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.LAMB"]], "lars (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.LARS"]], "optimizer (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.Optimizer"]], "sgd (class in ivy.stateful.optimizers)": [[783, "ivy.stateful.optimizers.SGD"]], "__init__() (ivy.stateful.optimizers.adam method)": [[783, "ivy.stateful.optimizers.Adam.__init__"]], "__init__() (ivy.stateful.optimizers.adamw method)": [[783, "ivy.stateful.optimizers.AdamW.__init__"]], "__init__() (ivy.stateful.optimizers.lamb method)": [[783, "ivy.stateful.optimizers.LAMB.__init__"]], "__init__() (ivy.stateful.optimizers.lars method)": [[783, "ivy.stateful.optimizers.LARS.__init__"]], "__init__() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.__init__"]], "__init__() (ivy.stateful.optimizers.sgd method)": [[783, "ivy.stateful.optimizers.SGD.__init__"]], "ivy.stateful.optimizers": [[783, "module-ivy.stateful.optimizers"]], "set_state() (ivy.stateful.optimizers.adam method)": [[783, "ivy.stateful.optimizers.Adam.set_state"]], "set_state() (ivy.stateful.optimizers.lamb method)": [[783, "ivy.stateful.optimizers.LAMB.set_state"]], "set_state() (ivy.stateful.optimizers.lars method)": [[783, "ivy.stateful.optimizers.LARS.set_state"]], "set_state() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.set_state"]], "set_state() (ivy.stateful.optimizers.sgd method)": [[783, "ivy.stateful.optimizers.SGD.set_state"]], "state (ivy.stateful.optimizers.adam property)": [[783, "ivy.stateful.optimizers.Adam.state"]], "state (ivy.stateful.optimizers.lamb property)": [[783, "ivy.stateful.optimizers.LAMB.state"]], "state (ivy.stateful.optimizers.lars property)": [[783, "ivy.stateful.optimizers.LARS.state"]], "state (ivy.stateful.optimizers.sgd property)": [[783, "ivy.stateful.optimizers.SGD.state"]], "step() (ivy.stateful.optimizers.optimizer method)": [[783, "ivy.stateful.optimizers.Optimizer.step"]], "sequential (class in ivy.stateful.sequential)": [[784, "ivy.stateful.sequential.Sequential"]], "__init__() (ivy.stateful.sequential.sequential method)": [[784, "ivy.stateful.sequential.Sequential.__init__"]], "ivy.stateful.sequential": [[784, "module-ivy.stateful.sequential"]], "check_all() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_all"]], "check_all_or_any_fn() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_all_or_any_fn"]], "check_any() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_any"]], "check_dev_correct_formatting() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_dev_correct_formatting"]], "check_dimensions() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_dimensions"]], "check_elem_in_list() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_elem_in_list"]], "check_equal() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_equal"]], "check_exists() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_exists"]], "check_false() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_false"]], "check_gather_input_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_gather_input_valid"]], "check_gather_nd_input_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_gather_nd_input_valid"]], "check_greater() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_greater"]], "check_inplace_sizes_valid() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_inplace_sizes_valid"]], "check_isinstance() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_isinstance"]], "check_kernel_padding_size() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_kernel_padding_size"]], "check_less() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_less"]], "check_one_way_broadcastable() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_one_way_broadcastable"]], "check_same_dtype() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_same_dtype"]], "check_shape() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_shape"]], "check_shapes_broadcastable() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_shapes_broadcastable"]], "check_true() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_true"]], "check_unsorted_segment_valid_params() (in module ivy.utils.assertions)": [[785, "ivy.utils.assertions.check_unsorted_segment_valid_params"]], "ivy.utils.assertions": [[785, "module-ivy.utils.assertions"]], "ivy.utils.backend": [[786, "module-ivy.utils.backend"]], "importtransformer (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer"]], "ivyloader (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader"]], "ivypathfinder (class in ivy.utils.backend.ast_helpers)": [[787, "ivy.utils.backend.ast_helpers.IvyPathFinder"]], "__init__() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.__init__"]], "__init__() (ivy.utils.backend.ast_helpers.ivyloader method)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader.__init__"]], "exec_module() (ivy.utils.backend.ast_helpers.ivyloader method)": [[787, "ivy.utils.backend.ast_helpers.IvyLoader.exec_module"]], "find_spec() (ivy.utils.backend.ast_helpers.ivypathfinder method)": [[787, "ivy.utils.backend.ast_helpers.IvyPathFinder.find_spec"]], "impersonate_import() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.impersonate_import"]], "ivy.utils.backend.ast_helpers": [[787, "module-ivy.utils.backend.ast_helpers"]], "visit_import() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.visit_Import"]], "visit_importfrom() (ivy.utils.backend.ast_helpers.importtransformer method)": [[787, "ivy.utils.backend.ast_helpers.ImportTransformer.visit_ImportFrom"]], "contextmanager (class in ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.ContextManager"]], "__init__() (ivy.utils.backend.handler.contextmanager method)": [[788, "ivy.utils.backend.handler.ContextManager.__init__"]], "choose_random_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.choose_random_backend"]], "current_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.current_backend"]], "dynamic_backend_converter() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.dynamic_backend_converter"]], "ivy.utils.backend.handler": [[788, "module-ivy.utils.backend.handler"]], "prevent_access_locally() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.prevent_access_locally"]], "previous_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.previous_backend"]], "set_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_backend"]], "set_backend_to_specific_version() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_backend_to_specific_version"]], "set_jax_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_jax_backend"]], "set_mxnet_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_mxnet_backend"]], "set_numpy_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_numpy_backend"]], "set_paddle_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_paddle_backend"]], "set_tensorflow_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_tensorflow_backend"]], "set_torch_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.set_torch_backend"]], "unset_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.unset_backend"]], "with_backend() (in module ivy.utils.backend.handler)": [[788, "ivy.utils.backend.handler.with_backend"]], "clear_sub_backends() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.clear_sub_backends"]], "find_available_sub_backends() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.find_available_sub_backends"]], "fn_name_from_version_specific_fn_name() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.fn_name_from_version_specific_fn_name"]], "fn_name_from_version_specific_fn_name_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.fn_name_from_version_specific_fn_name_sub_backend"]], "ivy.utils.backend.sub_backend_handler": [[789, "module-ivy.utils.backend.sub_backend_handler"]], "set_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.set_sub_backend"]], "set_sub_backend_to_specific_version() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.set_sub_backend_to_specific_version"]], "unset_sub_backend() (in module ivy.utils.backend.sub_backend_handler)": [[789, "ivy.utils.backend.sub_backend_handler.unset_sub_backend"]], "check_for_binaries() (in module ivy.utils.binaries)": [[790, "ivy.utils.binaries.check_for_binaries"]], "cleanup_and_fetch_binaries() (in module ivy.utils.binaries)": [[790, "ivy.utils.binaries.cleanup_and_fetch_binaries"]], "ivy.utils.binaries": [[790, "module-ivy.utils.binaries"]], "import_module() (in module ivy.utils.dynamic_import)": [[791, "ivy.utils.dynamic_import.import_module"]], "ivy.utils.dynamic_import": [[791, "module-ivy.utils.dynamic_import"]], "convert_interleaved_input() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.convert_interleaved_input"]], "convert_subscripts() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.convert_subscripts"]], "find_output_shape() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.find_output_shape"]], "find_output_str() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.find_output_str"]], "gen_unused_symbols() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.gen_unused_symbols"]], "get_symbol() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.get_symbol"]], "has_valid_einsum_chars_only() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.has_valid_einsum_chars_only"]], "is_valid_einsum_char() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.is_valid_einsum_char"]], "ivy.utils.einsum_parser": [[792, "module-ivy.utils.einsum_parser"]], "legalise_einsum_expr() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.legalise_einsum_expr"]], "possibly_convert_to_numpy() (in module ivy.utils.einsum_parser)": [[792, "ivy.utils.einsum_parser.possibly_convert_to_numpy"]], "can_dot() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.can_dot"]], "compute_size_by_dict() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.compute_size_by_dict"]], "find_contraction() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.find_contraction"]], "flop_count() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.flop_count"]], "greedy_path() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.greedy_path"]], "ivy.utils.einsum_path_helpers": [[793, "module-ivy.utils.einsum_path_helpers"]], "optimal_path() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.optimal_path"]], "parse_einsum_input() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.parse_einsum_input"]], "parse_possible_contraction() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.parse_possible_contraction"]], "update_other_results() (in module ivy.utils.einsum_path_helpers)": [[793, "ivy.utils.einsum_path_helpers.update_other_results"]], "inplaceupdateexception": [[794, "ivy.utils.exceptions.InplaceUpdateException"]], "ivyattributeerror": [[794, "ivy.utils.exceptions.IvyAttributeError"]], "ivybackendexception": [[794, "ivy.utils.exceptions.IvyBackendException"]], "ivybroadcastshapeerror": [[794, "ivy.utils.exceptions.IvyBroadcastShapeError"]], "ivydeviceerror": [[794, "ivy.utils.exceptions.IvyDeviceError"]], "ivydtypepromotionerror": [[794, "ivy.utils.exceptions.IvyDtypePromotionError"]], "ivyerror": [[794, "ivy.utils.exceptions.IvyError"]], "ivyexception": [[794, "ivy.utils.exceptions.IvyException"]], "ivyindexerror": [[794, "ivy.utils.exceptions.IvyIndexError"]], "ivyinvalidbackendexception": [[794, "ivy.utils.exceptions.IvyInvalidBackendException"]], "ivynotimplementedexception": [[794, "ivy.utils.exceptions.IvyNotImplementedException"]], "ivyvalueerror": [[794, "ivy.utils.exceptions.IvyValueError"]], "__init__() (ivy.utils.exceptions.inplaceupdateexception method)": [[794, "ivy.utils.exceptions.InplaceUpdateException.__init__"]], "__init__() (ivy.utils.exceptions.ivyattributeerror method)": [[794, "ivy.utils.exceptions.IvyAttributeError.__init__"]], "__init__() (ivy.utils.exceptions.ivybackendexception method)": [[794, "ivy.utils.exceptions.IvyBackendException.__init__"]], "__init__() (ivy.utils.exceptions.ivybroadcastshapeerror method)": [[794, "ivy.utils.exceptions.IvyBroadcastShapeError.__init__"]], "__init__() (ivy.utils.exceptions.ivydeviceerror method)": [[794, "ivy.utils.exceptions.IvyDeviceError.__init__"]], "__init__() (ivy.utils.exceptions.ivydtypepromotionerror method)": [[794, "ivy.utils.exceptions.IvyDtypePromotionError.__init__"]], "__init__() (ivy.utils.exceptions.ivyerror method)": [[794, "ivy.utils.exceptions.IvyError.__init__"]], "__init__() (ivy.utils.exceptions.ivyexception method)": [[794, "ivy.utils.exceptions.IvyException.__init__"]], "__init__() (ivy.utils.exceptions.ivyindexerror method)": [[794, "ivy.utils.exceptions.IvyIndexError.__init__"]], "__init__() (ivy.utils.exceptions.ivyinvalidbackendexception method)": [[794, "ivy.utils.exceptions.IvyInvalidBackendException.__init__"]], "__init__() (ivy.utils.exceptions.ivynotimplementedexception method)": [[794, "ivy.utils.exceptions.IvyNotImplementedException.__init__"]], "__init__() (ivy.utils.exceptions.ivyvalueerror method)": [[794, "ivy.utils.exceptions.IvyValueError.__init__"]], "handle_exceptions() (in module ivy.utils.exceptions)": [[794, "ivy.utils.exceptions.handle_exceptions"]], "ivy.utils.exceptions": [[794, "module-ivy.utils.exceptions"]], "add_array_specs() (in module ivy.utils.inspection)": [[795, "ivy.utils.inspection.add_array_specs"]], "fn_array_spec() (in module ivy.utils.inspection)": [[795, "ivy.utils.inspection.fn_array_spec"]], "ivy.utils.inspection": [[795, "module-ivy.utils.inspection"]], "ivy.utils.logging": [[796, "module-ivy.utils.logging"]], "set_logging_mode() (in module ivy.utils.logging)": [[796, "ivy.utils.logging.set_logging_mode"]], "unset_logging_mode() (in module ivy.utils.logging)": [[796, "ivy.utils.logging.unset_logging_mode"]], "profiler (class in ivy.utils.profiler)": [[797, "ivy.utils.profiler.Profiler"]], "__init__() (ivy.utils.profiler.profiler method)": [[797, "ivy.utils.profiler.Profiler.__init__"]], "ivy.utils.profiler": [[797, "module-ivy.utils.profiler"]], "print_stats (ivy.utils.profiler.profiler attribute)": [[797, "ivy.utils.profiler.Profiler.print_stats"]], "viz (ivy.utils.profiler.profiler attribute)": [[797, "ivy.utils.profiler.Profiler.viz"]], "cprint() (in module ivy.utils.verbosity)": [[798, "ivy.utils.verbosity.cprint"]], "ivy.utils.verbosity": [[798, "module-ivy.utils.verbosity"]], "automatic code conversions": [[842, "term-Automatic-Code-Conversions"]], "backend handler": [[842, "term-Backend-Handler"]], "compositional functions": [[842, "term-Compositional-Functions"]], "convenience functions": [[842, "term-Convenience-Functions"]], "framework": [[842, "term-Framework"]], "framework handler": [[842, "term-Framework-Handler"]], "graph compiler": [[842, "term-Graph-Compiler"]], "ivy array": [[842, "term-Ivy-Array"]], "ivy backends": [[842, "term-Ivy-Backends"]], "ivy compiler": [[842, "term-Ivy-Compiler"]], "ivy container": [[842, "term-Ivy-Container"]], "ivy frontends": [[842, "term-Ivy-Frontends"]], "ivy functional api": [[842, "term-Ivy-Functional-API"]], "ivy tracer": [[842, "term-Ivy-Tracer"]], "ivy transpiler": [[842, "term-Ivy-Transpiler"]], "mixed functions": [[842, "term-Mixed-Functions"]], "native array": [[842, "term-Native-Array"]], "nestable functions": [[842, "term-Nestable-Functions"]], "pipeline": [[842, "term-Pipeline"]], "primary functions": [[842, "term-Primary-Functions"]], "standalone functions": [[842, "term-Standalone-Functions"]], "submodule helper functions": [[842, "term-Submodule-Helper-Functions"]], "built-in function": [[848, "ivy.trace_graph"], [849, "ivy.transpile"], [850, "ivy.unify"]], "ivy.trace_graph()": [[848, "ivy.trace_graph"]], "ivy.transpile()": [[849, "ivy.transpile"]], "ivy.unify()": [[850, "ivy.unify"]]}}) \ No newline at end of file