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modes (Optional[Sequence[int]], default: None) – None or int list, optional, default is None

  • transpose (Optional[bool], default: False) – If True, the matrices or vectors in in the list are transposed. For complex tensors, the conjugate transpose is used.

    • -

  • out (Optional[Array], default: None) – optional output array, for writing the result to. It must have a shape that the -result can broadcast to.

    • +

  • out (Optional[Array], default: None) – optional output array, for writing the result to. +It must have a shape that the result can broadcast to.

    • Return type:
    @@ -4863,7 +4863,7 @@

    Notes

    If no modes are specified, just assumes there is one matrix or vector per mode and returns: -\(\\text{x }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\) # noqa

    +\(\\text{x }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\)

    diff --git a/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.html b/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.html index 3c2f0082c0..34d9d8e72e 100644 --- a/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.html +++ b/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.cp_tensor.html @@ -1431,10 +1431,10 @@ static cp_lstsq_grad(cp_tensor, tensor, return_loss=False, mask=None)[source]#

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    Compute (for a third-order tensor)

    -\[\begin{split}\nabla 0.5 ||\\mathcal{X} - [\\mathbf{w}; \\mathbf{A}, \\mathbf{B}, \\mathbf{C}]||^2 # noqa\end{split}\]
    +\[\begin{split}\nabla 0.5 ||\\mathcal{X} - [\\mathbf{w}; \\mathbf{A}, \\mathbf{B}, \\mathbf{C}]||^2\end{split}\]

    where \([\\mathbf{w}; \\mathbf{A}, \\mathbf{B}, \\mathbf{C}]\) is the CP decomposition with weights -\(\\mathbf{w}\) and factor matrices \(\\mathbf{A}\), \(\\mathbf{B}\) and \(\\mathbf{C}\). # noqa +\(\\mathbf{w}\) and factor matrices \(\\mathbf{A}\), \(\\mathbf{B}\) and \(\\mathbf{C}\). Note that this does not return the gradient with respect to the weights even if CP is normalized.

    diff --git a/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.html b/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.html index 076d5aa0f1..55a8b02d7d 100644 --- a/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.html +++ b/ivy/docs/data_classes/data_classes/factorized_tensor/ivy.data_classes.factorized_tensor.tt_tensor.html @@ -1459,7 +1459,7 @@
    static tt_to_tensor(factors)[source]#

    Return the full tensor whose TT decomposition is given by ‘factors’.

    -

    Re-assembles ‘factors’, which represent a tensor in TT/Matrix-Product-State format # noqa: E501 +

    Re-assembles ‘factors’, which represent a tensor in TT/Matrix-Product-State format into the corresponding full tensor

    Parameters:
    @@ -1523,8 +1523,8 @@

    • tensor_shape – shape of the tensor to decompose

    • rank (default: 'same') – way to determine the rank, by default ‘same’ -if ‘same’: rank is computed to keep the number of parameters (at most) the same # noqa: E501 -if float, computes a rank so as to keep rank percent of the original number of parameters # noqa: E501 +if ‘same’: rank is computed to keep the number of parameters (at most) the same +if float, computes a rank so as to keep rank percent of the original number of parameters if int or tuple, just returns rank

    • constant_rank (default: False) – if True, the same rank will be chosen for each modes if False (default), the rank of each mode will be diff --git a/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.html b/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.html index 22df1a2a2a..3ef18ab887 100644 --- a/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.html +++ b/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.layers.html @@ -2422,7 +2422,7 @@

      Layers#

      [[16., 17., 18., 19.]]])

      >>> x = ivy.arange(0, 24.).reshape((2, 3, 4))
->>> print(ivy.max_pool1d(x, 2, 2, [(1,0)], data_format="NCW", dilation=2, ceil_mode=True)) # noqa
+>>> print(ivy.max_pool1d(x, 2, 2, [(1,0)], data_format="NCW", dilation=2, ceil_mode=True))
 ivy.array([[[ 1.,  3.],
         [ 5.,  7.],
         [ 9., 11.]],
diff --git a/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.html b/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.html
index 746ef2181f..53f1298b01 100644
--- a/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.html
+++ b/ivy/docs/functional/ivy/experimental/ivy.functional.ivy.experimental.linear_algebra.html
@@ -2132,7 +2132,7 @@ 
      Linear algebraNotes
      
 
      If no modes are specified, just assumes there is one matrix or vector per mode and returns:
-\(\\text{x  }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\) # noqa
      
+\(\\text{x  }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\)

    diff --git a/ivy/docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.html b/ivy/docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.html index 019a279430..26e03b5918 100644 --- a/ivy/docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.html +++ b/ivy/docs/functional/ivy/experimental/layers/ivy.functional.ivy.experimental.layers.max_pool1d.html @@ -1436,7 +1436,7 @@

    max_pool1d
    >>> x = ivy.arange(0, 24.).reshape((2, 3, 4))
->>> print(ivy.max_pool1d(x, 2, 2, [(1,0)], data_format="NCW", dilation=2, ceil_mode=True)) # noqa
+>>> print(ivy.max_pool1d(x, 2, 2, [(1,0)], data_format="NCW", dilation=2, ceil_mode=True))
 ivy.array([[[ 1.,  3.],
         [ 5.,  7.],
         [ 9., 11.]],
diff --git a/ivy/docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.html b/ivy/docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.html
index 5711bb1c18..4d7821824b 100644
--- a/ivy/docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.html
+++ b/ivy/docs/functional/ivy/experimental/linear_algebra/ivy.functional.ivy.experimental.linear_algebra.multi_mode_dot.html
@@ -1410,7 +1410,7 @@ 
    multi_mode_dotNotes
    
 
    If no modes are specified, just assumes there is one matrix or vector per mode and returns:
-\(\\text{x  }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\) # noqa
    
+\(\\text{x  }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\)

    @@ -1429,8 +1429,8 @@

    multi_mode_dotOptional[Sequence[int]], default: None) – None or int list, optional, default is None

  • transpose (Optional[bool], default: False) – If True, the matrices or vectors in in the list are transposed. For complex tensors, the conjugate transpose is used.

    • -

  • out (Optional[Array], default: None) – optional output array, for writing the result to. It must have a shape that the -result can broadcast to.

    • +

  • out (Optional[Array], default: None) – optional output array, for writing the result to. +It must have a shape that the result can broadcast to.

    • Return type:
    @@ -1442,7 +1442,7 @@

    multi_mode_dotNotes

    If no modes are specified, just assumes there is one matrix or vector per mode and returns: -\(\\text{x }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\) # noqa

    +\(\\text{x }\\times_0 \\text{ matrix or vec list[0] }\\times_1 \\cdots \\times_n \\text{ matrix or vec list[n] }\)

    diff --git a/ivy/docs/functional/ivy/ivy.functional.ivy.losses.html b/ivy/docs/functional/ivy/ivy.functional.ivy.losses.html index de07accf24..5b3c60a3b6 100644 --- a/ivy/docs/functional/ivy/ivy.functional.ivy.losses.html +++ b/ivy/docs/functional/ivy/ivy.functional.ivy.losses.html @@ -1429,7 +1429,7 @@

    Losses#
    >>> x = ivy.array([[0, 1, 1, 0]])
 >>> y = ivy.array([[2.6, 6.2, 3.7, 5.3]])
 >>> pos_weight = ivy.array([1, 2, 3, 4])
->>> z = ivy.binary_cross_entropy(x, y, pos_weight=pos_weight, from_logits=True, reduction='sum', axis=1) # noqa: E501
+>>> z = ivy.binary_cross_entropy(x, y, pos_weight=pos_weight, from_logits=True, reduction='sum', axis=1)
 ivy.array([8.05393649])
    diff --git a/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html b/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html index 5f7e8d90e8..dadf684aee 100644 --- a/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html +++ b/ivy/docs/functional/ivy/ivy.functional.ivy.meta.html @@ -1388,7 +1388,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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.

    • @@ -1442,7 +1442,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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.

    • @@ -1519,7 +1519,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. It takes the learnable +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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/losses/ivy.functional.ivy.losses.binary_cross_entropy.html b/ivy/docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy.html index 244b651db3..46d8314025 100644 --- a/ivy/docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy.html +++ b/ivy/docs/functional/ivy/losses/ivy.functional.ivy.losses.binary_cross_entropy.html @@ -1431,7 +1431,7 @@

    binary_cross_entropy
    >>> x = ivy.array([[0, 1, 1, 0]])
 >>> y = ivy.array([[2.6, 6.2, 3.7, 5.3]])
 >>> pos_weight = ivy.array([1, 2, 3, 4])
->>> z = ivy.binary_cross_entropy(x, y, pos_weight=pos_weight, from_logits=True, reduction='sum', axis=1) # noqa: E501
+>>> z = ivy.binary_cross_entropy(x, y, pos_weight=pos_weight, from_logits=True, reduction='sum', axis=1)
 ivy.array([8.05393649])
    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 75c81e2b32..258603bb51 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 @@ -1391,7 +1391,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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 632c6d163e..d793aa4163 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 @@ -1391,7 +1391,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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 a2b15b5062..b9472eee26 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 @@ -1388,7 +1388,7 @@

    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 0x7fcffd1dae60>) – The function used for the inner loop optimization. It takes the learnable +

  • inner_optimization_step (Callable, default: <function gradient_descent_update at 0x7fe2d1812e60>) – 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 39622df1ea..177f4abb58 100644 --- a/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html +++ b/ivy/docs/helpers/ivy_tests.test_ivy.helpers.globals.html @@ -1377,7 +1377,7 @@

    Should not be used inside any of the test functions.

    -ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG: <object object at 0x7fcff073dcb0>#
    +ivy_tests.test_ivy.helpers.globals.CURRENT_FRONTEND_CONFIG: <object object at 0x7fe2c4d39c90>#
    diff --git a/ivy/docs/stateful/ivy.stateful.layers.html b/ivy/docs/stateful/ivy.stateful.layers.html index e6662559fb..3bfbd0778b 100644 --- a/ivy/docs/stateful/ivy.stateful.layers.html +++ b/ivy/docs/stateful/ivy.stateful.layers.html @@ -1504,8 +1504,8 @@

  • 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 0x7fcffcdd1b10>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1b70>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1ab0>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1b10>) – 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)

    • @@ -1542,8 +1542,8 @@

  • 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 0x7fcffcdd1bd0>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1c30>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1b70>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1bd0>) – 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”.

    • @@ -1581,8 +1581,8 @@

  • 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 0x7fcffcdd1c90>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1cf0>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1c30>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1c90>) – 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)

    • @@ -1619,8 +1619,8 @@

  • 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 0x7fcffcdd1d50>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1db0>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1cf0>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1d50>) – 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”.

    • @@ -1658,8 +1658,8 @@

  • 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 0x7fcffcdd1ed0>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1f30>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1e70>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1ed0>) – 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)

    • @@ -1696,8 +1696,8 @@

  • 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 0x7fcffcdd1f90>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1ff0>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1f30>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1f90>) – 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”.

    • @@ -1760,8 +1760,8 @@

  • 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 0x7fcffcdd1e10>) – Initializer for the weights. Default is GlorotUniform.

    • -

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcdd1e70>) – Initializer for the bias. Default is Zeros.

    • +

  • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1db0>) – Initializer for the weights. Default is GlorotUniform.

    • +

  • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d13e1e10>) – 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)

    • @@ -1917,7 +1917,7 @@

    • 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 0x7fcffcdd2050>) – Initializer for the weights. Default is GlorotUniform.

      • +

    • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d13e1ff0>) – 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. @@ -1976,8 +1976,8 @@

      • 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 0x7fcffcf38b50>) – Initializer for the weights. Default is GlorotUniform.

        • -

      • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fcffcf38d00>) – Initializer for the bias. Default is Zeros.

        • +

      • weight_initializer (default: <ivy.stateful.initializers.GlorotUniform object at 0x7fe2d1574b80>) – Initializer for the weights. Default is GlorotUniform.

        • +

      • bias_initializer (default: <ivy.stateful.initializers.Zeros object at 0x7fe2d1574d30>) – 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.

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"video": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 798, 799, 804, 805, 807, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 840, 852], "tutori": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 798, 805, 825, 840], "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, 549, 551, 555, 562, 567, 584, 615, 616, 617, 620, 759, 770, 775, 787, 798, 801, 803, 813, 814, 817, 818, 821, 822, 824, 825, 826, 828, 833, 835, 836, 841, 847, 848, 849, 852, 861], "integr": [3, 4, 11, 13, 20, 27, 30, 49, 51, 52, 72, 74, 75, 147, 287, 348, 365, 380, 512, 616, 618, 798, 802, 804, 806, 822, 848, 852, 854, 856, 857, 858], "three": [3, 4, 15, 21, 31, 32, 42, 52, 134, 306, 362, 371, 452, 615, 804, 805, 811, 812, 813, 815, 825, 828, 831, 832, 833, 855, 860], "major": [3, 4, 630, 733, 813, 814, 826, 828, 839, 844, 851, 854], "ml": [3, 4, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 45, 798, 799, 802, 825, 832, 833, 834, 836, 837, 838, 842, 844, 845, 848, 850, 851, 852, 853, 854, 857, 859, 861], "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, 530, 546, 550, 581, 584, 616, 617, 620, 627, 706, 757, 759, 763, 770, 775, 782, 787, 788, 798, 801, 803, 804, 806, 807, 808, 809, 810, 812, 813, 814, 815, 817, 818, 820, 821, 822, 824, 825, 828, 829, 831, 832, 833, 835, 838, 839, 840, 841, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 855, 858], "sinc": [3, 5, 7, 23, 24, 26, 27, 40, 42, 52, 75, 93, 365, 798, 800, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 817, 824, 825, 839, 844, 854, 860], "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, 460, 618, 780, 798, 799, 800, 803, 804, 805, 810, 812, 814, 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"displai": [3, 5, 7, 23, 26, 27, 40, 41, 42, 44, 45, 804, 810, 812, 817, 828, 836], "end": [3, 5, 40, 41, 52, 75, 121, 223, 279, 346, 365, 368, 371, 414, 462, 472, 474, 475, 615, 618, 792, 798, 804, 805, 809, 812, 818, 824, 829, 831, 832, 839, 852, 857], "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, 417, 442, 480, 612, 615, 616, 618, 623, 630, 631, 633, 634, 653, 666, 669, 672, 679, 680, 731, 735, 736, 737, 738, 746, 747, 748, 749, 750, 751, 752, 753, 754, 774, 798, 799, 801, 803, 804, 805, 807, 808, 810, 811, 812, 813, 814, 815, 818, 819, 820, 821, 825, 826, 828, 831, 833, 835, 836, 839, 843, 850], "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, 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754, 757, 759, 762, 763, 764, 765, 778, 779, 780, 781, 782, 784, 787, 789, 791, 792, 796, 798, 801, 804, 809, 811, 812, 813, 814, 815, 817, 818, 820, 821, 822, 824, 825, 826, 828, 830, 831, 833, 836, 837, 838, 847, 848], "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, 525, 549, 616, 617, 620, 626, 702, 703, 787, 798, 807, 809, 813, 814, 821, 822, 823, 833, 835, 838, 847, 848, 849], "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, 369, 371, 374, 378, 417, 420, 421, 422, 423, 424, 428, 432, 434, 437, 440, 462, 463, 464, 469, 470, 482, 488, 489, 490, 493, 502, 615, 618, 622, 623, 625, 626, 630, 631, 632, 636, 637, 638, 639, 640, 641, 644, 657, 658, 664, 673, 674, 678, 680, 689, 692, 701, 702, 733, 735, 736, 737, 738, 739, 741, 742, 759, 781, 783, 792, 798, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 825, 826, 827, 828, 829, 830, 831, 836, 838, 839, 843, 850, 853, 854, 855, 857, 860], "quick": [3, 15, 27, 805, 806, 826, 837], "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, 432, 516, 567, 573, 587, 603, 604, 606, 614, 617, 620, 621, 623, 627, 671, 704, 710, 714, 715, 759, 770, 778, 779, 780, 782, 787, 792, 798, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 824, 825, 826, 828, 829, 831, 833, 835, 836, 837, 838, 839, 844, 847, 848, 849, 854, 855, 858], "trace_graph": [3, 4, 5, 7, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 34, 43, 780, 798, 833, 838, 846], "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, 414, 423, 435, 455, 462, 481, 510, 511, 614, 615, 618, 622, 623, 625, 626, 648, 663, 667, 692, 703, 743, 762, 770, 777, 778, 791, 798, 799, 803, 804, 805, 807, 808, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 824, 825, 826, 828, 831, 833, 835, 837, 838, 839, 840, 845, 847, 848, 851, 852, 860], "moment": [3, 52, 54, 75, 77, 369, 424, 601, 602, 607, 621, 782, 803, 809, 839, 847, 848], "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, 415, 417, 426, 433, 446, 450, 451, 452, 456, 462, 463, 464, 469, 471, 476, 479, 488, 489, 490, 495, 500, 510, 511, 514, 515, 516, 517, 518, 519, 521, 559, 563, 564, 566, 583, 585, 586, 599, 601, 602, 605, 607, 608, 609, 610, 615, 616, 617, 618, 620, 621, 622, 623, 625, 628, 630, 631, 633, 636, 637, 638, 639, 640, 641, 644, 660, 663, 664, 668, 670, 679, 680, 688, 689, 690, 693, 695, 699, 723, 730, 733, 735, 736, 737, 738, 743, 745, 762, 764, 781, 784, 787, 792, 795, 798, 803, 804, 805, 807, 808, 809, 810, 811, 813, 814, 815, 818, 819, 820, 821, 822, 823, 824, 825, 826, 828, 830, 831, 832, 835, 836, 838, 839, 840, 841, 844, 845, 848, 854, 855, 857, 860], "cost": [3, 54, 77, 601, 602, 605, 607, 608, 609, 621, 626, 701, 702, 703, 792, 813, 831, 852], "arg": [3, 5, 6, 7, 11, 13, 21, 22, 24, 26, 27, 31, 32, 33, 44, 47, 69, 91, 101, 117, 198, 208, 587, 614, 615, 617, 620, 757, 759, 774, 775, 778, 779, 780, 784, 787, 791, 796, 798, 808, 813, 814, 817, 823, 824, 825, 831, 833, 837, 847, 848, 849], "asarrai": [3, 4, 5, 6, 7, 41, 48, 52, 53, 64, 71, 75, 76, 87, 122, 378, 501, 502, 532, 543, 547, 548, 578, 579, 615, 620, 622, 631, 632, 636, 736, 740, 817, 822, 825, 826], "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, 495, 496, 498, 499, 615, 617, 623, 629, 674, 724, 725, 726, 727, 777, 778, 779, 780, 781, 782, 783, 798, 833, 839, 841, 859], "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, 413, 416, 419, 430, 441, 442, 443, 444, 446, 447, 450, 451, 452, 456, 458, 462, 467, 468, 471, 472, 477, 478, 480, 481, 483, 486, 487, 497, 499, 500, 507, 510, 511, 513, 514, 519, 525, 527, 528, 532, 533, 536, 547, 548, 549, 556, 563, 564, 578, 581, 601, 602, 604, 605, 606, 607, 608, 609, 612, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 627, 628, 629, 630, 631, 632, 633, 636, 637, 639, 641, 643, 644, 645, 646, 651, 653, 654, 655, 656, 658, 659, 660, 663, 665, 668, 670, 671, 673, 674, 675, 677, 678, 679, 682, 683, 684, 685, 688, 689, 694, 696, 697, 699, 704, 705, 712, 716, 723, 724, 725, 726, 727, 729, 734, 735, 737, 739, 740, 742, 743, 744, 745, 747, 749, 751, 752, 762, 804, 805, 809, 811, 812, 815, 821, 824, 828], "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, 414, 415, 417, 418, 419, 421, 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184, 248, 275, 327, 339, 362, 365, 368, 369, 380, 389, 399, 412, 435, 445, 512, 549, 585, 615, 616, 618, 620, 622, 623, 626, 638, 640, 641, 644, 671, 673, 674, 680, 702, 703, 759, 762, 763, 798, 813, 815, 826, 828, 829, 848, 849], "As": [3, 5, 6, 8, 9, 11, 13, 19, 23, 24, 26, 27, 29, 32, 38, 39, 63, 67, 90, 631, 735, 736, 737, 738, 798, 801, 803, 804, 805, 808, 810, 811, 812, 813, 814, 817, 818, 819, 820, 821, 824, 825, 826, 827, 828, 831, 835, 836, 837, 839, 843, 847, 848, 849, 854, 859], "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, 445, 523, 616, 618, 620, 624, 668, 682, 777, 778, 798, 804, 805, 807, 813, 814, 817, 819, 822, 824, 826, 828, 831, 839, 840, 845, 847, 848, 849], "ident": [3, 9, 24, 41, 43, 57, 69, 127, 196, 542, 568, 615, 617, 620, 623, 627, 660, 665, 717, 778, 811, 821, 822, 825, 826, 829, 831, 835, 836, 839, 841, 843, 845], "had": [3, 811, 812, 824, 829, 833, 854, 855], "anoth": [3, 17, 19, 20, 23, 24, 26, 27, 29, 30, 42, 43, 128, 148, 150, 615, 616, 798, 803, 804, 805, 809, 811, 813, 814, 817, 819, 821, 824, 825, 828, 833, 835, 838, 841, 844, 846, 847, 848, 854, 860], "postprocess": 3, "routin": [3, 812, 824, 825, 831, 839, 854], "feed": [3, 208, 617, 847, 854, 855], "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, 456, 457, 465, 521, 522, 615, 616, 618, 620, 629, 633, 686, 696, 727, 750, 752, 764, 798, 801, 803, 804, 805, 807, 808, 811, 812, 815, 816, 817, 818, 819, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 835, 837, 838, 839, 840, 841, 844, 847, 848, 850, 852, 853, 854, 860, 861], "carefulli": [3, 273, 618, 777, 825, 852, 857], "rewrit": 3, "easili": [3, 23, 26, 27, 38, 798, 804, 808, 812, 818, 825, 831, 836, 837, 838, 839, 844, 854, 860, 861], "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, 414, 415, 416, 417, 418, 419, 420, 423, 424, 426, 427, 428, 430, 431, 432, 433, 435, 439, 441, 442, 443, 444, 446, 447, 453, 455, 456, 457, 459, 460, 462, 463, 464, 465, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 484, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 502, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 523, 527, 528, 532, 533, 534, 536, 539, 540, 549, 559, 563, 564, 601, 602, 605, 607, 608, 609, 610, 612, 613, 615, 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, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 695, 696, 697, 698, 700, 723, 724, 725, 726, 727, 729, 730, 731, 732, 734, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 770, 774, 775, 777, 778, 780, 781, 782, 783, 798, 799, 801, 802, 803, 804, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 819, 821, 823, 825, 826, 827, 828, 829, 831, 832, 833, 834, 835, 836, 837, 838, 840, 843, 844, 845, 847, 848, 854, 861], "quickest": 3, "particular": [3, 26, 27, 263, 618, 763, 804, 805, 807, 809, 812, 813, 815, 822, 824, 825, 828, 829, 850, 854, 860], "hardwar": [3, 40, 97, 101, 798, 804, 831, 844, 850, 852, 853, 854, 855, 856, 857, 858, 859, 860], "again": [3, 5, 20, 21, 29, 30, 31, 32, 623, 671, 805, 808, 809, 810, 811, 815, 817, 819, 824, 825, 828, 829, 831, 836, 838, 839, 844, 845, 859, 860], "speed": [3, 6, 8, 9, 26, 27, 40, 45, 53, 76, 556, 620, 828, 843, 857], "up": [3, 5, 6, 8, 9, 26, 52, 53, 75, 76, 368, 371, 390, 403, 456, 464, 544, 556, 620, 622, 645, 798, 799, 801, 803, 805, 807, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 834, 835, 836, 837, 838, 839, 843, 844, 845, 847, 855, 860, 861], "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, 413, 455, 456, 458, 462, 467, 486, 499, 510, 516, 517, 518, 528, 532, 533, 564, 570, 578, 592, 618, 620, 622, 623, 625, 627, 628, 629, 630, 631, 633, 636, 640, 645, 646, 656, 658, 660, 664, 668, 672, 674, 675, 677, 679, 689, 693, 695, 697, 699, 716, 723, 725, 726, 727, 734, 735, 743, 744, 745, 749, 751, 762, 804, 809, 811, 813, 815, 823], "repeat": [3, 4, 20, 30, 52, 53, 59, 75, 76, 82, 368, 371, 380, 396, 401, 461, 509, 534, 620, 625, 626, 698, 702, 703, 791, 805, 808, 809, 815, 816, 824, 828], "previou": [3, 9, 19, 20, 21, 23, 29, 30, 31, 33, 54, 77, 182, 183, 184, 185, 186, 357, 367, 588, 590, 591, 592, 593, 595, 596, 598, 602, 607, 616, 620, 621, 777, 795, 804, 805, 807, 809, 812, 814, 820, 825, 828, 831, 838, 839, 857], "trace": [3, 4, 5, 6, 7, 8, 15, 16, 20, 23, 26, 29, 31, 32, 44, 53, 57, 69, 76, 80, 551, 552, 555, 566, 575, 589, 597, 620, 623, 759, 770, 780, 782, 798, 807, 811, 813, 825, 830, 831, 833, 838, 839, 846, 847, 848, 855, 860], "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, 413, 456, 463, 464, 465, 472, 510, 511, 617, 622, 623, 625, 626, 627, 631, 633, 635, 636, 637, 638, 640, 642, 644, 647, 648, 651, 663, 680, 686, 701, 702, 716, 735, 736, 737, 738, 743, 744, 749, 751, 778, 787, 791, 803, 804, 805, 807, 808, 810, 813, 814, 816, 817, 818, 819, 820, 822, 823, 824, 825, 826, 828, 833, 836, 839, 847, 848, 854], "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, 413, 455, 456, 458, 462, 467, 486, 499, 510, 511, 527, 528, 532, 533, 548, 570, 578, 601, 612, 616, 617, 618, 620, 621, 622, 623, 625, 626, 627, 630, 631, 633, 636, 637, 645, 646, 656, 660, 668, 672, 674, 677, 699, 703, 716, 725, 726, 727, 734, 735, 743, 744, 745, 811, 813, 815, 825], "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, 413, 417, 423, 424, 456, 458, 462, 467, 486, 510, 578, 601, 616, 618, 620, 621, 622, 623, 625, 627, 631, 633, 636, 637, 639, 641, 643, 645, 656, 658, 660, 668, 675, 677, 679, 699, 716, 725, 726, 727, 735, 744, 745, 811, 815, 828], "overrid": [3, 5, 32, 41, 48, 52, 71, 75, 136, 380, 509, 615, 808, 810], "behavior": [3, 5, 52, 63, 235, 242, 268, 277, 381, 520, 567, 590, 618, 620, 631, 735, 736, 737, 738, 803, 810, 811, 812, 813, 824, 825, 826, 828, 831, 833, 839, 851], "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, 519, 534, 547, 578, 612, 615, 618, 620, 623, 627, 629, 636, 661, 668, 712, 727], "memori": [3, 5, 8, 21, 22, 23, 24, 48, 52, 59, 71, 75, 82, 123, 134, 190, 202, 208, 210, 214, 371, 380, 450, 451, 458, 460, 462, 463, 464, 471, 486, 516, 562, 567, 590, 615, 617, 620, 622, 625, 647, 688, 689, 690, 692, 694, 695, 697, 699, 792, 812, 813, 814, 824, 825, 831, 833, 839, 847, 854, 856, 857, 858], "temporari": [3, 5, 576, 598, 620, 792, 813, 830], "fix": [3, 5, 42, 52, 75, 92, 93, 365, 369, 440, 622, 648, 798, 801, 804, 805, 807, 813, 819, 828, 829], "until": [3, 5, 792, 805, 824, 833, 839, 844, 847, 861], "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, 455, 481, 612, 617, 618, 623, 633, 677, 749, 751, 774, 782, 799, 806, 811, 812, 813, 819, 820, 821, 823, 824, 825, 826, 827, 828, 830, 831, 837, 851, 861], "o": [3, 5, 39, 40, 41, 42, 44, 559, 620, 622, 648, 798, 804, 806, 812, 833, 840], "environ": [3, 5, 8, 21, 22, 23, 24, 41, 44, 798, 799, 805, 840, 854, 856], "xla_python_client_alloc": [3, 5], "platform": [3, 5, 9, 21, 22, 24, 800, 802, 804, 810, 852, 856, 858], "jit": [3, 6, 8, 26, 29, 833, 839, 847, 854], "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, 413, 419, 458, 462, 467, 486, 510, 528, 532, 533, 536, 547, 548, 573, 578, 595, 615, 616, 618, 620, 622, 623, 625, 627, 629, 630, 631, 633, 636, 646, 656, 659, 660, 661, 668, 674, 675, 693, 699, 704, 716, 725, 726, 733, 735, 743, 744, 745, 759, 804, 812, 815, 823, 857], "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, 437, 440, 480, 509, 532, 601, 602, 616, 618, 620, 621, 623, 625, 627, 633, 671, 672, 674, 700, 711, 750, 805, 816, 824, 836], "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, 421, 431, 465, 473, 475, 480, 484, 510, 511, 512, 532, 600, 615, 618, 620, 631, 633, 735, 743, 744, 749, 751, 762, 764, 765, 777, 798, 803, 813, 817, 821, 828, 833, 836, 837, 838, 854, 860], "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, 413, 445, 462, 510, 516, 533, 536, 558, 578, 579, 611, 616, 618, 620, 621, 622, 623, 625, 627, 629, 630, 633, 644, 646, 652, 656, 659, 660, 668, 670, 674, 699, 712, 725, 726, 727, 734, 744, 745, 762, 765, 798, 805, 813, 815, 836], "0022192720000475674": 3, "64773613": 3, "29496723": 3, "exact": [3, 52, 68, 69, 105, 368, 370, 403, 408, 444, 445, 631, 735, 737, 764, 774, 804, 805, 807, 815, 833], "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, 420, 425, 433, 434, 440, 462, 480, 616, 618, 622, 623, 625, 631, 633, 648, 657, 658, 670, 671, 673, 692, 696, 736, 738, 747, 778, 792, 801, 803, 804, 805, 808, 813, 815, 816, 819, 824, 825, 826, 828, 829, 831], "were": [3, 5, 43, 69, 72, 163, 167, 168, 242, 618, 622, 648, 803, 804, 805, 813, 817, 819, 823, 824, 826, 828, 829, 831, 833, 847, 854, 855, 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774, 777, 778, 791, 792, 811, 813, 814, 815, 817, 820, 821, 824, 826, 828, 829, 831, 833, 838, 847], "assert": [5, 9, 41, 43, 45, 69, 525, 620, 770, 801, 806, 807, 818, 821, 824, 825, 826, 828, 829, 835, 836], "too": [5, 52, 75, 218, 235, 242, 268, 371, 480, 618, 777, 803, 804, 805, 807, 813, 817, 829, 839], "small": [5, 9, 42, 51, 52, 57, 60, 74, 75, 80, 83, 235, 242, 268, 269, 328, 344, 365, 369, 370, 374, 429, 445, 488, 489, 490, 618, 623, 628, 666, 669, 671, 723, 777, 781, 798, 804, 812, 815, 821, 826, 831, 833, 837, 839, 847, 848, 855], "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, 450, 451, 458, 460, 462, 463, 464, 471, 475, 486, 612, 617, 688, 689, 690, 692, 694, 695, 697, 699, 764, 774, 778, 798, 799, 801, 803, 804, 805, 806, 807, 808, 809, 811, 812, 813, 815, 816, 818, 820, 822, 824, 825, 826, 828, 829, 831, 832, 833, 835, 837, 838, 839, 840, 844, 847, 854, 860], "pixel": [5, 40, 52, 75, 368, 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824, 835, 838, 848], "255": [5, 23, 26, 27, 40, 41, 42, 44, 56, 75, 79, 229, 618, 644, 798, 848], "car": 5, "full_img": 5, "from_numpi": [5, 836], "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, 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"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, 495, 496, 498, 499, 615, 617, 623, 629, 662, 724, 725, 726, 727, 759, 777, 778, 779, 780, 781, 782, 783, 798, 801, 804, 805, 810, 813, 814, 818, 825, 828, 839, 852, 854, 857, 859], "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, 414, 421, 425, 434, 440, 445, 488, 490, 496, 516, 519, 549, 565, 573, 579, 615, 616, 618, 620, 622, 623, 624, 625, 627, 629, 630, 633, 635, 648, 666, 671, 682, 683, 684, 692, 715, 716, 725, 726, 727, 730, 731, 733, 734, 746, 748, 750, 752, 762, 765, 777, 778, 779, 780, 781, 787, 799, 802, 803, 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378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 409, 411, 434, 449, 502, 510, 511, 532, 533, 534, 547, 548, 549, 565, 575, 612, 615, 617, 618, 620, 622, 623, 626, 627, 633, 634, 645, 647, 673, 675, 680, 701, 702, 703, 711, 712, 743, 744, 753, 754, 757, 774, 778, 792, 807, 808, 809, 811, 813, 814, 815, 820, 821, 822, 824, 825, 826, 828, 829, 831, 833, 836, 839, 845, 847, 848, 851, 854, 855, 856, 857, 858, 859, 861], "inplac": [5, 7, 8, 9, 21, 22, 23, 24, 47, 53, 69, 76, 92, 95, 523, 525, 546, 549, 550, 567, 568, 620, 627, 711, 712, 716, 721, 722, 769, 770, 775, 782, 806, 808, 815, 818, 820, 822, 825, 831, 835, 837], "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, 413, 462, 533, 548, 601, 603, 612, 615, 618, 620, 621, 622, 623, 627, 629, 636, 645, 646, 656, 660, 712, 725, 726, 727, 729, 811], "factor": [5, 9, 52, 54, 56, 57, 75, 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838, 839, 841, 847, 848, 849, 860], "request": [6, 7, 8, 21, 22, 23, 24, 26, 27, 40, 43, 52, 199, 375, 499, 617, 798, 799, 803, 815, 819, 829, 831, 845, 848], "get_model": 6, "list_model": 6, "mmengin": 6, "configdict": 6, "saniti": [6, 8, 9, 26, 825], "checkpoint": [6, 7, 43, 839], "correct": [6, 11, 13, 22, 32, 38, 40, 42, 65, 88, 181, 369, 436, 616, 625, 633, 685, 750, 752, 759, 762, 798, 801, 803, 805, 806, 811, 812, 813, 814, 817, 818, 820, 821, 824, 826, 828, 848], "against": [6, 49, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 148, 267, 286, 328, 331, 334, 344, 365, 380, 515, 516, 517, 518, 519, 556, 616, 618, 620, 623, 630, 663, 664, 666, 669, 730, 828, 833, 839, 843, 854], "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, 567, 587, 601, 602, 607, 617, 620, 621, 622, 623, 626, 633, 645, 663, 701, 702, 703, 750, 752, 770, 781, 782, 804, 811, 813, 814, 817, 821, 822, 824, 825, 826, 827, 828, 831, 839, 847, 854, 855, 860], "appropri": [6, 17, 21, 22, 24, 26, 27, 53, 62, 67, 85, 90, 218, 235, 242, 268, 328, 344, 365, 618, 630, 730, 798, 803, 804, 805, 817, 822, 828], "get_scal": 6, "cfg": [6, 819], "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, 441, 442, 443, 444, 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848, 857], "even": [6, 23, 26, 27, 52, 75, 92, 235, 268, 273, 278, 371, 380, 472, 509, 618, 804, 805, 807, 809, 812, 813, 814, 816, 820, 821, 824, 825, 826, 831, 835, 836, 837, 838, 839, 844, 845, 860], "better": [6, 9, 29, 38, 44, 45, 803, 806, 825, 826, 829, 831, 832, 835, 836, 837, 845, 857], "v100": 6, "3x": 6, "increas": [6, 8, 9, 19, 26, 29, 52, 57, 59, 75, 80, 82, 95, 371, 380, 472, 512, 623, 625, 678, 687, 700, 764, 813, 817, 825, 829, 831, 843, 847, 854], "execut": [6, 8, 17, 18, 19, 21, 22, 23, 24, 26, 27, 29, 31, 34, 41, 43, 45, 118, 120, 587, 614, 617, 620, 804, 805, 810, 811, 812, 813, 814, 815, 817, 821, 822, 824, 828, 831, 833, 835, 838, 839, 841, 847, 850, 854, 855, 856, 857, 858, 860], "train2017": [6, 8, 23, 26, 27, 798, 848], "000000283921": [6, 8, 26], "out_torch": [6, 8, 26], "et": [6, 622, 623, 648, 673], "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, 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813, 817, 821, 824, 825, 835, 841, 850, 854], "unus": [15, 16, 19, 815, 824], "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, 421, 472, 519, 612, 615, 618, 623, 658, 659, 759, 798, 803, 804, 805, 807, 810, 813, 819, 821, 824, 825, 828, 829, 831, 833, 834, 838, 839, 847, 848, 849, 852, 854, 859, 860, 861], "lazi": [15, 16, 19, 22, 29, 32, 33, 44], "eager": [15, 16, 19, 22, 24, 29, 32, 33, 44, 811, 839, 854], "understand": [15, 16, 17, 21, 38, 44, 801, 802, 803, 804, 805, 806, 807, 810, 815, 816, 820, 826, 827, 832, 845, 850, 860], "decor": [15, 16, 21, 23, 24, 32, 44, 526, 620, 762, 764, 770, 801, 807, 808, 811, 813, 814, 818, 821, 824, 825, 826, 831], "kornia": [15, 16, 23, 26, 27, 40, 44, 798, 848], "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, 433, 449, 462, 477, 480, 481, 502, 512, 518, 567, 600, 614, 620, 623, 628, 629, 633, 634, 653, 664, 675, 677, 679, 680, 723, 727, 746, 747, 748, 749, 750, 751, 752, 753, 754, 778, 781, 787, 791, 798, 804, 805, 809, 815, 816, 823, 824, 826, 829, 833, 835, 839, 843, 845, 852, 854], "indep": [17, 26], "futur": [17, 24, 26, 40, 623, 658, 659, 798, 804, 805, 812, 813, 828, 829, 831, 835, 839, 843, 845, 860], "proof": [17, 26], "delv": [17, 27, 798], "theori": [17, 800, 810], "deep": [17, 24, 26, 38, 69, 532, 620, 798, 799, 800, 802, 803, 805, 807, 810, 811, 813, 819, 823, 826, 832, 835, 836, 843, 852, 854, 857, 858, 860, 861], "esenti": [17, 26], "abstract": [17, 26, 27, 777, 782, 798, 811, 813, 824, 825, 828, 831, 837, 843, 852, 854, 856, 857, 861], "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, 480, 499, 532, 533, 534, 560, 616, 617, 618, 620, 623, 625, 626, 629, 632, 633, 658, 659, 675, 696, 701, 702, 703, 724, 741, 746, 747, 748, 750, 757, 759, 779, 780, 787, 788, 794, 798, 801, 803, 804, 805, 807, 808, 809, 810, 811, 813, 814, 817, 819, 820, 821, 824, 825, 826, 827, 828, 829, 831, 833, 834, 835, 837, 838, 839, 840, 841, 843, 847, 848, 849, 850, 852, 853, 855, 856, 857, 861], "quirk": [17, 26], "perk": [17, 26, 798, 808, 811], "under": [17, 26, 27, 52, 370, 444, 445, 791, 798, 803, 804, 806, 807, 814, 815, 816, 819, 825, 826, 828, 831, 832, 833, 836, 838, 839, 847, 848, 854, 857, 861], "hood": [17, 26, 27, 798, 806, 814, 815, 819, 825, 828, 831, 832, 833, 836, 838, 847, 848, 861], "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, 413, 421, 472, 483, 511, 530, 616, 617, 620, 622, 623, 635, 636, 637, 638, 640, 642, 644, 659, 757, 759, 763, 791, 792, 809, 810, 812, 813, 814, 817, 825, 833, 836], "simplest": [17, 804, 815, 828, 831], 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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, 427, 429, 430, 431, 432, 433, 434, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 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713, 716, 717, 721, 722, 723, 724, 725, 726, 727, 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, 757, 759, 762, 769, 770, 778, 779, 780, 782, 783, 787, 791, 792, 798, 800, 801, 803, 804, 806, 807, 808, 809, 810, 812, 813, 815, 816, 818, 820, 821, 822, 823, 824, 826, 828, 830, 831, 832, 833, 834, 837, 839, 840, 841, 843, 847, 854, 855, 860], "subclass": [17, 26, 27, 822, 825, 831, 848], "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, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 456, 457, 472, 478, 480, 481, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 522, 524, 525, 527, 528, 532, 533, 534, 535, 536, 537, 538, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 559, 563, 564, 578, 579, 581, 583, 585, 586, 599, 610, 614, 616, 617, 620, 627, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 704, 705, 707, 710, 711, 712, 713, 715, 716, 717, 721, 722, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 747, 749, 750, 752, 753, 754, 759, 760, 775, 778, 780, 787, 792, 808, 811, 836, 837, 841, 847, 848, 849], "recurs": [17, 26, 27, 40, 42, 47, 69, 70, 161, 162, 194, 195, 369, 437, 537, 538, 544, 616, 617, 620, 627, 704, 705, 708, 714, 715, 716, 757, 804, 807, 810, 811, 818, 821, 824, 837, 839], "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, 413, 414, 477, 479, 525, 532, 533, 534, 581, 612, 615, 616, 617, 618, 620, 622, 623, 633, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 646, 648, 675, 677, 749, 751, 762, 765, 778, 792, 798, 803, 804, 806, 807, 808, 811, 813, 814, 815, 816, 817, 821, 824, 825, 828, 831, 833, 836, 837, 841, 843, 847, 850, 851, 852, 853, 854, 855, 857, 858, 859, 860, 861], "fashion": [17, 764, 828, 848], "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, 446, 472, 478, 482, 521, 524, 551, 552, 555, 585, 612, 615, 616, 617, 618, 620, 622, 623, 624, 625, 629, 630, 633, 634, 636, 637, 644, 651, 654, 658, 659, 665, 666, 670, 674, 675, 677, 680, 682, 684, 685, 692, 724, 733, 742, 748, 751, 753, 759, 769, 787, 801, 818, 826, 828], "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, 532, 536, 673, 698], "low": [17, 26, 29, 45, 52, 56, 61, 75, 79, 84, 368, 410, 413, 622, 629, 635, 636, 637, 638, 640, 642, 644, 725, 727, 764, 811, 817, 824, 825, 831, 833, 850, 852, 854, 855, 856, 858, 860], "level": [17, 26, 27, 29, 52, 75, 76, 369, 437, 524, 792, 798, 799, 803, 804, 805, 811, 813, 817, 821, 823, 824, 825, 827, 830, 831, 832, 833, 836, 837, 838, 839, 841, 845, 850, 851, 852, 853, 854, 855, 856, 858, 859, 860, 861], "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, 415, 417, 419, 420, 422, 432, 450, 451, 452, 462, 480, 488, 489, 490, 493, 511, 524, 532, 533, 534, 535, 543, 547, 548, 586, 601, 602, 605, 607, 608, 609, 612, 615, 616, 618, 620, 621, 622, 623, 625, 627, 630, 631, 633, 636, 637, 638, 639, 640, 641, 643, 657, 659, 661, 692, 696, 704, 707, 711, 712, 713, 715, 716, 721, 722, 733, 738, 744, 745, 750, 752, 781, 791, 792, 799, 804, 806, 809, 810, 811, 815, 821, 823, 832, 833, 834, 836, 839, 841, 842, 844, 845, 848, 850, 854, 858, 859, 861], "fundament": [17, 26, 812, 825, 831, 833, 843, 854], "common": [17, 20, 26, 30, 51, 52, 69, 74, 174, 245, 253, 333, 339, 365, 616, 618, 799, 801, 803, 804, 810, 813, 814, 815, 821, 822, 825, 829, 831, 839, 843, 851, 854, 861], "signatur": [17, 26, 371, 380, 472, 509, 813, 814, 815, 816, 820, 824, 828, 829, 831, 844, 851, 860], "matmul": [17, 26, 27, 43, 57, 80, 369, 435, 600, 620, 623, 673, 809, 828, 829, 833], "to_n": [17, 26, 27, 38, 47, 70, 833], "jaxlib": [17, 23, 41, 787, 804, 808, 813, 814, 820, 829, 833, 835], "xla_extens": [17, 23, 787, 808, 813, 814, 820, 829, 833, 835], "arrayimpl": [17, 23, 787], "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, 420, 421, 472, 480, 509, 512, 539, 543, 545, 547, 549, 586, 610, 612, 615, 616, 618, 620, 621, 622, 623, 625, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 677, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 725, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 798, 801, 803, 804, 805, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 823, 824, 825, 826, 828, 831, 833, 835, 836, 837, 838, 854, 859], "why": [17, 798, 805, 824, 835, 842, 844], "underli": [17, 26, 27, 38, 52, 59, 75, 82, 95, 225, 228, 230, 265, 370, 371, 445, 462, 618, 623, 625, 671, 692, 811, 824, 831, 847, 854], "disabl": [17, 26, 52, 75, 371, 480, 780, 810], "array_mod": [17, 26, 565, 588, 620, 830], "set_array_mod": [17, 26, 588, 620, 830], "composit": [17, 26, 161, 162, 194, 195, 287, 369, 427, 537, 538, 616, 617, 618, 620, 763, 765, 803, 806, 808, 809, 811, 813, 814, 822, 824, 825, 826, 828, 831, 833, 837, 838, 839, 841, 847, 855], "ultim": [17, 26, 847], "sigmoid": [17, 26, 27, 38, 46, 52, 68, 75, 295, 360, 375, 495, 612, 774, 833, 836, 837], "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, 441, 443, 444, 445, 446, 447, 453, 457, 468, 508, 509, 512, 519, 524, 536, 539, 540, 547, 548, 564, 577, 578, 579, 587, 600, 615, 617, 618, 620, 623, 624, 625, 627, 629, 630, 631, 633, 653, 663, 668, 669, 673, 680, 682, 683, 684, 685, 707, 711, 713, 721, 725, 726, 727, 730, 735, 745, 746, 748, 749, 750, 777, 798, 809, 811, 814, 815, 833, 835, 847], "divid": [17, 22, 26, 27, 43, 51, 52, 53, 59, 69, 74, 75, 82, 97, 98, 242, 374, 442, 488, 489, 490, 493, 578, 618, 620, 625, 694, 808, 811, 815, 819, 828], "exp": [17, 26, 27, 51, 52, 74, 75, 111, 113, 240, 260, 273, 295, 360, 368, 370, 395, 400, 445, 612, 618, 623, 671, 823, 825], "high": [17, 26, 27, 45, 52, 56, 61, 75, 79, 84, 368, 410, 413, 572, 620, 622, 629, 635, 636, 637, 638, 640, 642, 644, 725, 727, 764, 803, 817, 823, 825, 836, 841, 845, 850, 851, 852, 853, 854, 858, 860, 861], "network": [17, 24, 26, 27, 38, 40, 45, 622, 646, 774, 777, 778, 798, 811, 821, 833, 837, 844, 848, 850, 852, 853, 854, 858, 860, 861], "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, 472, 512, 545, 617, 618, 633, 634, 746, 747, 748, 749, 750, 751, 752, 753, 754, 778, 792, 803, 804, 805, 807, 808, 811, 813, 815, 817, 824, 825, 826, 828, 831, 833, 836, 837, 838, 839, 844, 845, 848, 854, 860, 861], "further": [17, 69, 98, 764, 805, 807, 808, 812, 815, 817, 820, 821, 824, 825, 827, 828, 832, 833, 836, 837, 844, 845, 859, 860], "congratul": [17, 23], "There": [17, 24, 27, 32, 92, 361, 363, 364, 372, 373, 377, 764, 798, 803, 804, 805, 807, 808, 810, 811, 813, 814, 815, 817, 819, 821, 823, 825, 826, 830, 833, 836, 839, 843, 847, 855, 856, 860, 861], "come": [17, 40, 803, 804, 805, 808, 812, 825, 830, 831, 837, 841, 854], "independ": [17, 27, 52, 61, 75, 84, 218, 235, 268, 278, 374, 375, 493, 495, 618, 623, 629, 653, 672, 724, 798, 807, 813, 815, 822, 833, 838, 848, 852], "good": [17, 26, 27, 798, 802, 803, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 826, 828, 829, 831, 833, 834, 837], "foundat": [17, 844, 857], "power": [17, 26, 27, 51, 52, 53, 57, 74, 75, 76, 80, 97, 98, 229, 238, 239, 273, 327, 339, 362, 365, 368, 414, 569, 579, 591, 618, 620, 623, 627, 665, 678, 710, 777, 830, 835, 836, 837, 854, 856, 860], "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, 419, 472, 478, 512, 547, 548, 568, 612, 615, 618, 620, 623, 633, 653, 658, 659, 672, 746, 747, 748, 750, 798, 803, 804, 808, 809, 812, 813, 816, 820, 823, 825, 826, 828, 829, 835, 837, 839, 841, 849, 851, 852, 853, 854, 855, 858, 860, 861], "div": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 849], "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, 421, 458, 467, 486, 515, 516, 544, 620, 623, 625, 626, 656, 677, 694, 701, 702, 703, 803, 805, 806, 811, 817, 825, 826, 828, 835, 836, 837, 849, 850], "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, 444, 445, 480, 502, 509, 512, 567, 618, 620, 623, 624, 625, 633, 634, 653, 679, 682, 691, 743, 746, 747, 748, 749, 750, 751, 752, 753, 754, 804, 809, 813, 815, 817, 821, 823, 824, 825, 833, 837, 838, 847], "uniform": [18, 19, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 40, 52, 61, 75, 84, 380, 512, 629, 724, 725, 727, 777, 798, 827, 837, 848, 849, 861], "x_": [18, 28, 93, 279, 618, 849], "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, 616, 618, 623, 625, 630, 633, 634, 653, 666, 669, 672, 675, 679, 680, 692, 731, 746, 747, 748, 749, 750, 751, 752, 753, 754, 798, 804, 809, 820, 825, 826, 829, 833, 839, 844], "sever": [18, 19, 28, 29, 31, 32, 33, 52, 75, 92, 368, 369, 382, 383, 384, 433, 762, 804, 805, 829, 839, 852, 858], "pro": [18, 19, 20, 28, 29, 30, 31, 32, 33], "pick": [19, 29, 777], "off": [19, 29, 56, 57, 79, 80, 391, 392, 393, 622, 623, 645, 656, 677, 777, 778, 804, 818, 832, 845, 847, 860], "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, 423, 444, 462, 472, 474, 480, 502, 510, 511, 615, 617, 622, 623, 624, 625, 630, 632, 633, 634, 647, 648, 653, 656, 668, 677, 679, 683, 684, 686, 689, 692, 693, 694, 696, 730, 731, 739, 741, 742, 743, 744, 753, 754, 778, 787, 798, 805, 807, 809, 810, 813, 815, 824, 826, 828, 831, 833, 839, 845, 848, 854], "purpos": [19, 26, 27, 29, 40, 42, 142, 240, 258, 322, 362, 615, 618, 623, 671, 805, 806, 808, 811, 812, 814, 815, 817, 820, 821, 822, 825, 827, 828, 831, 832, 835, 841, 853, 855, 858, 859, 860], "illustr": [19, 29, 809, 833], "trigger": [19, 29, 780, 803, 819], "unif": [19, 21, 22, 29, 31, 799, 835, 844, 850, 860], "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, 417, 457, 535, 612, 615, 618, 631, 656, 663, 669, 673, 696, 735, 736, 737, 738, 774, 798, 803, 805, 807, 809, 810, 811, 812, 819, 820, 821, 822, 825, 826, 827, 828, 829, 830, 833, 835, 836, 837, 856, 860], "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, 442, 450, 451, 452, 603, 615, 616, 621, 820, 821, 823, 824, 825, 828, 837, 839, 847, 849, 855, 860], "constitu": [19, 29, 69, 838], "due": [19, 26, 27, 29, 43, 45, 268, 278, 371, 480, 618, 804, 807, 812, 817, 824, 825, 844, 847, 848, 854], "manner": [19, 27, 29, 39, 47, 70, 627, 716, 804, 813, 814, 816, 821, 825, 829, 836, 839, 843, 850, 852, 860, 861], "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, 421, 425, 429, 451, 452, 512, 515, 615, 616, 618, 623, 627, 629, 630, 633, 634, 653, 654, 664, 666, 673, 675, 679, 680, 717, 726, 730, 731, 732, 733, 746, 747, 748, 749, 750, 752, 753, 754, 762, 777, 779, 780, 782, 808, 811, 815, 833, 847, 848, 849, 854], "5556394": 19, "655387": 19, "1415051": 19, "4695197": 19, "3022028": 19, "1473966": 19, "5701794": 19, "91962665": 19, "51028997": 19, "5964439": 19, "assess": [19, 29, 803, 831], "985": 19, "000": [19, 74, 269, 762, 801, 812, 818], "69": [19, 38, 45, 51, 77, 84, 216, 258, 368, 389, 399, 605, 618, 621, 623, 664, 665, 726, 828, 836], "slower": [19, 825], "On": [19, 26, 27, 804, 813, 814, 819, 825, 828, 831, 834, 838], "hand": [19, 51, 369, 435, 762, 798, 807, 813, 814, 819, 821, 828, 839], "singl": [19, 29, 38, 43, 51, 61, 69, 74, 84, 93, 287, 344, 365, 369, 375, 432, 496, 586, 599, 603, 618, 620, 621, 622, 629, 631, 648, 725, 726, 727, 735, 762, 778, 803, 804, 805, 807, 812, 815, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 836, 837, 838, 839, 845], "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, 418, 419, 420, 432, 442, 446, 451, 472, 478, 482, 509, 519, 524, 614, 615, 616, 618, 620, 623, 625, 631, 652, 654, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 677, 679, 697, 735, 736, 737, 738, 762, 764, 770, 778, 803, 804, 807, 808, 813, 814, 815, 816, 821, 825, 826, 828, 831, 832, 836, 838, 845, 851, 859], "workflow": [20, 30, 41, 803, 805, 809, 813, 823, 825, 836, 841, 845, 853, 860, 861], "ivy_norm": 20, "jax_norm": [20, 26, 27], "wider": [20, 30, 572, 594, 620, 813, 830, 860], "avoid": [20, 30, 32, 52, 59, 75, 235, 240, 242, 258, 268, 370, 371, 374, 442, 450, 451, 452, 458, 460, 462, 463, 464, 467, 471, 478, 486, 488, 489, 490, 526, 542, 544, 567, 572, 594, 618, 620, 625, 688, 689, 690, 692, 694, 695, 697, 699, 764, 765, 804, 805, 809, 810, 811, 812, 813, 817, 822, 825, 828, 829, 830, 831, 854], "conveni": [20, 30, 803, 813, 814, 820, 826, 834, 836, 837, 841, 860], "act": [20, 30, 52, 75, 356, 366, 805, 815, 830, 839, 861], "shorthand": [20, 30, 32, 828], "pair": [20, 30, 40, 52, 56, 75, 79, 223, 242, 314, 355, 362, 365, 368, 401, 410, 412, 413, 618, 622, 623, 635, 636, 637, 638, 640, 642, 644, 651, 653, 792], "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, 811], "requir": [21, 22, 23, 24, 31, 40, 41, 42, 45, 51, 52, 69, 74, 75, 269, 282, 286, 369, 371, 420, 421, 472, 618, 623, 625, 657, 658, 659, 696, 762, 770, 775, 792, 800, 803, 804, 808, 810, 812, 813, 814, 815, 816, 817, 819, 820, 822, 825, 826, 827, 828, 829, 831, 833, 835, 839, 848, 854, 860], "satisfi": [21, 22, 23, 24, 40, 42, 45, 52, 368, 369, 390, 421, 813, 815], "opt": [21, 22, 23, 24, 44, 804, 809, 813, 824, 828, 831], "fw": [21, 22, 23, 24, 56, 79, 380, 509, 622, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 759, 804, 828], "mxnet": [21, 22, 23, 24, 787, 803, 804, 844, 861], "26": [21, 22, 23, 24, 38, 40, 42, 45, 51, 52, 60, 61, 75, 76, 77, 84, 230, 235, 281, 368, 369, 389, 424, 432, 547, 601, 618, 620, 621, 622, 623, 627, 628, 633, 644, 656, 668, 675, 705, 723, 725, 726, 745], "einop": [21, 22, 23, 24, 40, 42, 45, 53, 76, 532, 533, 534, 620, 813, 844], "miniconda": [21, 22, 23, 24], "env": [21, 22, 23, 24], "multienv": [21, 22, 23, 24], "site": [21, 22, 23, 24, 855], "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, 858, 859], "535": [21, 22, 23, 24, 46, 68, 113, 612, 817], "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, 532, 533, 605, 620, 621, 623, 633, 668, 745], "wheel": [21, 22, 23, 24, 40, 42, 45, 843], "six": [21, 22, 23, 24, 40, 45, 804, 831], "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, 622, 648], "jedi": [21, 22, 23, 24], "inlin": [21, 22, 23, 24, 810], "prompt": [21, 22, 23, 24, 803, 805], "toolkit": [21, 22, 23, 24, 854, 855, 861], "pygment": [21, 22, 23, 24], "traitlet": [21, 22, 23, 24], "exceptiongroup": [21, 22, 23, 24], "paddl": [21, 22, 23, 24, 329, 330, 365, 775, 787, 803, 804, 813, 818], "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, 798, 816, 820, 825, 831, 835, 838, 839, 854, 860, 861], "eagerli": [21, 22, 26, 27, 31, 32, 33, 40, 798, 847, 848, 849], "lazili": [21, 22, 23, 26, 27, 31, 33, 44, 798, 847, 848, 849], "actual": [21, 31, 801, 805, 806, 812, 818, 821, 822, 824, 825, 826, 828, 831, 832, 837, 839, 855, 860], "occur": [21, 26, 27, 31, 44, 49, 51, 63, 72, 74, 86, 150, 269, 285, 616, 618, 630, 631, 730, 731, 735, 736, 737, 738, 807, 812, 814, 817, 830], "becaus": [21, 29, 31, 41, 52, 368, 390, 757, 804, 805, 807, 808, 809, 810, 811, 813, 814, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 828, 831, 833, 837, 838, 839, 854, 857, 860], "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, 414, 421, 472, 480, 509, 512, 516, 522, 523, 525, 526, 531, 533, 534, 539, 543, 545, 547, 549, 559, 563, 564, 581, 586, 587, 600, 610, 615, 616, 618, 620, 621, 622, 623, 625, 626, 627, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 703, 710, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 757, 759, 762, 763, 770, 775, 778, 779, 780, 787, 791, 794, 798, 803, 806, 807, 808, 809, 810, 811, 815, 816, 819, 821, 826, 828, 829, 831, 833, 835, 836, 841, 843, 847, 848, 849, 854], "altern": [21, 31, 41, 52, 75, 80, 92, 93, 328, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 365, 798, 803, 804, 810, 824, 836, 857], "dummi": [21, 22, 31, 32, 33, 39, 805], "seed": [21, 22, 42, 43, 52, 56, 61, 63, 69, 75, 79, 84, 317, 318, 319, 320, 321, 362, 369, 375, 425, 434, 440, 495, 496, 497, 498, 499, 622, 629, 631, 645, 724, 725, 726, 727, 729, 735, 770, 775, 777, 792, 822, 826, 828], "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, 421, 433, 435, 472, 480, 509, 512, 539, 543, 545, 547, 556, 586, 610, 615, 616, 618, 620, 621, 622, 623, 624, 625, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 681, 682, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 778, 791, 798, 804, 807, 809, 812, 813, 816, 826, 828, 831, 835, 836, 839], "201733": 21, "core": [21, 22, 24, 40, 41, 42, 44, 45, 52, 75, 92, 95, 199, 369, 425, 434, 439, 440, 617, 804, 814, 818, 828, 838, 843, 852, 853, 854, 855, 859, 861], "cpu_feature_guard": [21, 22, 24], "182": [21, 22, 24, 75], "instruct": [21, 22, 24, 69, 98, 798, 803, 804, 807, 817, 819, 826, 828, 840, 852, 855, 858, 860], "critic": [21, 22, 24, 26, 27, 854, 860], "avx2": [21, 22, 24], "fma": [21, 22, 24], "rebuild": [21, 22, 24, 69, 98], "flag": [21, 22, 24, 69, 191, 370, 380, 442, 509, 617, 622, 648, 759, 770, 781, 805, 813, 814, 824, 825, 826, 828, 847, 848], "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, 417, 421, 491, 492, 494, 527, 528, 549, 620, 623, 664, 680, 723, 778, 782, 829], "slow": [21, 31, 800, 804, 810], "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, 445, 509, 558, 615, 616, 620, 623, 629, 658, 659, 664, 680, 726, 727, 744, 759, 762, 763, 813, 826, 828], "norm_tran": [21, 31], "know": [21, 22, 31, 32, 33, 63, 631, 735, 736, 737, 738, 800, 803, 805, 814, 822, 826, 828, 831, 845, 849, 855], "07": [22, 40, 42, 54, 58, 74, 77, 81, 84, 223, 256, 259, 260, 279, 368, 399, 591, 601, 602, 604, 605, 606, 607, 618, 620, 621, 624, 683, 684, 726, 779, 782, 837], "981554": 22, "happen": [22, 26, 27, 287, 618, 798, 804, 805, 814, 824, 828, 836, 845, 847, 848], "wherea": [22, 33, 805, 808, 811, 813, 814, 815, 820, 821, 828, 838, 851], "subtract": [22, 26, 27, 51, 74, 97, 98, 129, 371, 472, 615, 618, 808, 811, 815], "begin": [22, 52, 75, 279, 371, 456, 472, 473, 474, 475, 476, 618, 627, 704, 715, 762, 804, 807, 812, 826], "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, 480, 509, 615, 616, 618, 623, 625, 630, 631, 632, 633, 634, 652, 653, 654, 655, 656, 658, 659, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 686, 688, 689, 690, 692, 693, 695, 696, 700, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 802, 804, 805, 816, 818, 819, 828, 851, 854, 861], "sympi": [23, 844], "fsspec": [23, 40], "mpmath": 23, "scenario": [23, 813, 823], "often": [23, 802, 807, 817, 820, 821, 825, 828, 839, 845, 855, 858, 861], "fortun": [23, 24, 807], "everyth": [23, 41, 791, 798, 803, 804, 805, 806, 812, 815, 824, 825, 826, 828, 834, 839, 840, 845], "practic": [23, 805, 809, 812, 825, 827, 857], "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, 421, 431, 433, 438, 444, 445, 446, 448, 462, 465, 474, 475, 477, 478, 480, 496, 507, 509, 510, 511, 514, 515, 519, 522, 539, 540, 542, 544, 545, 558, 560, 568, 600, 612, 615, 616, 617, 618, 620, 622, 623, 624, 625, 627, 629, 630, 631, 632, 633, 634, 648, 651, 653, 655, 656, 658, 659, 664, 672, 675, 677, 678, 679, 680, 682, 683, 684, 685, 686, 687, 688, 689, 693, 695, 696, 699, 700, 708, 709, 711, 712, 719, 720, 721, 722, 725, 726, 727, 729, 730, 731, 733, 736, 737, 738, 739, 743, 744, 745, 749, 751, 753, 754, 762, 765, 774, 778, 779, 780, 792, 804, 806, 810, 813, 814, 820, 821, 822, 824, 825, 826, 828, 833, 836, 837, 847, 848, 849, 860], "everi": [23, 26, 27, 32, 40, 48, 52, 53, 75, 76, 130, 131, 295, 329, 330, 342, 360, 365, 368, 371, 404, 405, 406, 485, 521, 615, 620, 803, 805, 807, 809, 810, 812, 813, 815, 819, 820, 821, 822, 824, 825, 826, 828, 833, 835, 837, 847, 848, 849, 854], "jax_kornia": [23, 26, 27, 798, 848], "though": [23, 802, 803, 805, 813, 814, 816, 821, 824, 825, 831, 836, 839], "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, 414, 415, 417, 419, 420, 421, 422, 424, 425, 427, 430, 432, 434, 437, 438, 440, 441, 442, 443, 444, 445, 446, 447, 466, 469, 482, 488, 490, 501, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 526, 527, 528, 572, 594, 601, 603, 604, 606, 610, 611, 617, 618, 620, 621, 622, 623, 624, 625, 627, 631, 633, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 646, 652, 653, 657, 658, 659, 662, 663, 664, 666, 668, 670, 672, 673, 675, 677, 679, 680, 682, 683, 684, 688, 710, 735, 736, 737, 738, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 759, 764, 778, 781, 792, 798, 804, 811, 812, 813, 821, 823, 825, 828, 830, 831, 833, 836, 839, 841, 844, 845, 847, 848, 850, 852, 854, 855, 857, 858, 860], "000000000034": [23, 26, 27, 798, 848], "raw_img": [23, 26, 27, 798, 848], "enhanc": [23, 26, 27, 798, 827, 848], "sharp": [23, 26, 27, 798], "prefer": [23, 26, 27, 242, 618, 798, 804, 811, 817, 818, 822, 825, 840, 854], "leverag": [23, 26, 27, 798, 804, 824, 848, 852, 854], "whole": [24, 52, 75, 371, 374, 479, 491, 492, 494, 805, 810, 819], "full": [24, 52, 57, 75, 79, 80, 92, 93, 95, 160, 247, 255, 317, 318, 319, 320, 321, 362, 369, 370, 371, 438, 439, 444, 445, 473, 476, 566, 575, 589, 597, 615, 616, 618, 620, 622, 623, 637, 639, 640, 641, 643, 666, 670, 672, 673, 763, 770, 798, 804, 805, 810, 813, 816, 817, 820, 821, 825, 828, 831, 833, 839, 844, 845, 852, 854, 860], "advantag": [24, 26, 27, 798, 804, 805, 813, 824, 825, 840, 848, 854], "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, 415, 420, 421, 422, 431, 433, 517, 518, 578, 579, 612, 615, 616, 618, 620, 623, 630, 633, 657, 658, 659, 664, 671, 673, 675, 677, 680, 733, 748, 749, 751, 763, 774, 792, 803, 810, 813, 815, 822, 825, 828, 829, 831, 836, 837, 838, 839, 841, 848, 850, 852, 854, 856, 860, 861], "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, 622, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 764, 778, 848, 852, 854], "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, 418, 461, 471, 475, 480, 481, 485, 507, 514, 515, 516, 517, 518, 519, 532, 536, 620, 623, 625, 630, 631, 660, 668, 680, 686, 691, 693, 730, 731, 735, 736, 737, 738, 757, 759, 798, 824, 831], "keyword": [24, 26, 27, 42, 44, 47, 48, 52, 69, 75, 98, 134, 269, 368, 371, 380, 414, 472, 509, 523, 526, 559, 587, 615, 618, 620, 623, 627, 633, 674, 710, 751, 757, 759, 763, 779, 780, 791, 803, 808, 811, 813, 814, 822, 824, 825, 826, 828, 829, 831, 836, 847, 848, 849], "input_arrai": [24, 26, 27, 824], "torch_model": [24, 26, 27, 44], "159": [24, 68, 105, 612, 622, 646], "state_upd": 24, "properti": [24, 69, 92, 93, 94, 95, 96, 97, 101, 780, 782, 807, 811, 821, 826, 828, 835, 836, 837, 860], "_transpil": 24, "thank": [24, 836, 844], "fledg": [24, 804, 833, 834], "rand": [24, 26, 27, 42, 791, 792, 798, 847], "output_arrai": [24, 26, 27, 52, 442], "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, 618, 798, 800, 802, 803, 804, 805, 810, 817, 825, 828, 829, 830, 831, 848, 857], "interest": [24, 26, 38, 235, 268, 618, 803, 805], "continu": [24, 26, 27, 42, 120, 282, 290, 360, 614, 618, 798, 802, 803, 804, 806, 807, 818, 824, 827, 828, 839, 844, 845, 854], "regress": [25, 854, 861], "checkout": [26, 41, 805, 807, 828], "f705efe7cb5d18df17ce6c1e20f04d0eb4933f48": 26, "theoret": 26, "aspect": [26, 27, 799, 823, 836, 854], "switch": [26, 38, 770, 809, 817, 821, 822, 861], "easiest": [26, 798, 800, 804, 840], "defer": [26, 27, 803, 808, 813, 814, 821, 824, 825, 828, 860], "similarli": [26, 39, 134, 142, 218, 322, 329, 330, 362, 365, 615, 618, 809, 813, 825, 831, 835, 860], "obtain": [26, 27, 45, 52, 75, 313, 362, 368, 407, 622, 648, 764, 825, 847], "essenc": [26, 855, 860], "becom": [26, 52, 75, 92, 339, 365, 371, 452, 625, 685, 787, 805, 811, 813, 815, 817, 824, 839, 843, 845, 847], "regardless": [26, 27, 38, 69, 799, 813, 817, 835, 838, 845], "being": [26, 27, 38, 52, 69, 75, 90, 97, 101, 121, 369, 371, 429, 456, 472, 573, 615, 620, 623, 659, 759, 765, 777, 798, 804, 805, 807, 808, 809, 811, 813, 814, 815, 818, 820, 822, 824, 825, 826, 828, 829, 831, 833, 836, 839, 844, 845, 850, 852, 853, 854, 855, 860, 861], "slide": [26, 52, 56, 75, 79, 368, 386, 387, 388, 404, 405, 406, 407, 410, 413, 622, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 778], "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, 414, 421, 432, 435, 442, 446, 457, 460, 478, 482, 483, 488, 489, 490, 491, 495, 496, 497, 498, 499, 507, 516, 519, 524, 526, 535, 544, 547, 548, 578, 579, 580, 583, 611, 614, 615, 616, 617, 618, 620, 621, 622, 623, 625, 627, 629, 633, 634, 645, 648, 656, 658, 661, 662, 667, 668, 672, 673, 685, 688, 690, 694, 696, 704, 707, 709, 711, 712, 713, 714, 715, 719, 720, 721, 722, 724, 725, 726, 727, 729, 735, 745, 753, 754, 757, 759, 760, 762, 763, 764, 765, 770, 777, 792, 796, 798, 802, 803, 804, 806, 811, 813, 814, 817, 820, 821, 825, 826, 828, 833, 836, 839, 840, 841, 842, 843, 844, 845, 847, 848, 849, 854, 855], "regressor": [26, 27, 798], "input_dim": [26, 27, 41, 798], "output_dim": [26, 27, 41, 798], "linear0": [26, 27, 38, 798, 836, 837], "linear1": [26, 27, 38, 798, 836, 837], "instanti": [26, 27, 770, 816], "adam": [26, 27, 38, 42, 54, 77, 523, 601, 602, 607, 620, 621, 782, 798, 836, 837, 838, 854], "n_training_exampl": [26, 27, 798], "2000": [26, 27, 75, 308, 362, 798], "random_norm": [26, 27, 56, 57, 61, 79, 80, 84, 532, 620, 622, 623, 629, 637, 639, 640, 641, 643, 644, 647, 673, 798], "linspac": [26, 27, 48, 71, 121, 615, 798, 820, 831, 833, 861], "loss_fn": [26, 27, 38, 40, 42, 798, 836, 837, 838], "pred": [26, 27, 41, 42, 52, 58, 75, 81, 370, 441, 444, 624, 682, 683, 684, 798, 811, 821, 824], "epoch": [26, 27, 40, 42, 798], "loss": [26, 27, 40, 42, 52, 75, 92, 441, 442, 443, 444, 445, 446, 447, 572, 594, 620, 682, 683, 684, 798, 812, 813, 821, 825, 829, 830, 836, 837, 838, 854, 861], "gradient": [26, 27, 40, 42, 52, 75, 92, 208, 357, 365, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 617, 626, 701, 702, 703, 759, 770, 782, 798, 806, 829, 836, 837, 839, 854], "grad": [26, 27, 38, 42, 601, 621, 782, 798, 823, 836, 837, 838], "execute_with_gradi": [26, 27, 38, 42, 621, 798, 836, 837, 838, 839], "lambda": [26, 27, 43, 45, 75, 118, 120, 292, 301, 531, 603, 604, 606, 611, 614, 620, 621, 623, 627, 658, 711, 712, 716, 798, 803, 821, 822, 823, 826, 831, 833, 836], "2d": [26, 27, 42, 52, 75, 92, 307, 362, 368, 369, 371, 380, 383, 384, 391, 392, 431, 438, 451, 461, 509, 778, 798, 825, 831], "5f": [26, 27, 798], "nonetheless": [26, 27], "slight": [26, 27, 813, 828, 837], "introduc": [26, 27, 242, 618, 625, 631, 693, 735, 803, 811, 812, 813, 822, 826, 828, 831, 836, 843], "address": [26, 27, 52, 53, 75, 371, 480, 585, 620, 803, 805, 807, 808, 820, 827, 833, 845, 850, 852, 854, 860], "extract": [26, 27, 34, 41, 52, 75, 93, 371, 455, 481, 825, 827, 829, 850, 854, 855, 860], "gc": [26, 27, 544, 620], "decompos": [26, 27, 52, 75, 92, 95, 317, 318, 319, 320, 321, 341, 348, 362, 365, 369, 429, 434, 437, 440, 825, 838], "said": [26, 27, 764, 829, 845, 847], "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, 423, 436, 438, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 456, 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480, 509, 615, 616, 618, 623, 625, 633, 671, 672, 700, 750, 798, 816, 844], "fname": [26, 27, 43, 45, 780, 836], "anticip": [26, 27], "addition": [26, 27, 811, 824, 825, 860], "backend_compil": [26, 27], "normalize_native_comp": [26, 27], "return_backend_compiled_fn": 26, "immedi": [26, 27, 803, 804], "built": [26, 27, 32, 40, 42, 45, 121, 615, 778, 779, 780, 798, 804, 805, 810, 811, 828, 834, 840, 847, 853, 854, 858], "summar": [26, 27, 92, 828], "eager_graph": [26, 27, 798, 847, 848], "lazy_graph": [26, 27, 798, 847, 848], "codebas": [26, 27, 206, 207, 617, 799, 806, 813, 819, 824, 825, 827, 828, 829, 832, 845], "thought": [26, 27, 804, 805, 820, 844, 852], "research": [26, 27, 40, 798, 843, 848, 854, 861], "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, 439, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 456, 457, 478, 480, 481, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 524, 525, 527, 528, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 563, 564, 578, 579, 581, 583, 585, 586, 587, 599, 605, 610, 618, 620, 627, 633, 634, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 717, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 787, 798, 800, 805, 807, 809, 810, 812, 815, 821, 823, 825, 833, 835, 844, 847, 848, 853, 854, 856], "No": [26, 27, 40, 52, 58, 75, 81, 370, 442, 443, 444, 446, 447, 624, 682, 805, 812, 813, 854], "matter": [26, 27, 32, 815, 843], "job": [26, 27, 798, 810, 812, 848], "haven": [26, 27, 32, 840, 854], "jax_out": [26, 27], "ideal": [26, 27, 812, 813, 825, 831, 836], "But": [26, 27, 764, 811, 812, 816, 819, 822, 831, 838], "bring": [26, 27, 807, 827, 828, 833, 834, 841, 844], "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, 419, 426, 459, 466, 468, 469, 487, 612, 618, 625, 653, 685, 782, 831], "vision": [26, 27, 45, 850, 860], "worth": [26, 27], "differenti": [26, 27, 290, 358, 359, 360, 367, 854], "chosen": [26, 27, 45, 95, 121, 223, 615, 618, 630, 734, 803, 812, 825], "plai": [26, 27, 370, 444, 798, 804, 808, 814, 818, 825, 828, 838, 854, 857], "role": [26, 27, 798, 805, 814, 825, 834, 855, 857, 861], "dl": [26, 27], "cnn": [26, 27, 854], "effortlessli": [26, 27], "previous": [26, 27, 589, 620, 787, 804, 809, 821, 823, 828, 833], "pre": [26, 27, 798, 801, 803, 827, 828, 838, 839, 840, 854], "default_devic": [26, 27, 201, 204, 205, 206, 212, 213, 617, 814, 817, 818], "as_n": [26, 27, 49, 50, 69, 72, 73, 153, 154, 155, 156, 157, 158, 164, 191, 192, 204, 616, 617, 813], "certainli": [26, 27, 798, 844, 860], "upon": [26, 27, 44, 805, 815, 824, 828, 831, 839, 853, 854], "unnecessari": [26, 27, 825], "extend": [26, 27, 52, 75, 371, 380, 472, 512, 809, 810, 813, 816, 817, 820, 825, 829, 839, 851, 854, 860], "infrastructur": [26, 27, 798, 850, 856, 857], "least": [26, 51, 52, 57, 74, 75, 235, 253, 268, 368, 371, 380, 395, 400, 450, 451, 452, 461, 463, 509, 618, 623, 630, 663, 733, 798, 805, 808, 812, 813, 814, 815, 821, 824, 828, 848], "coco": 26, "seamlessli": [27, 828], "benefit": [27, 798, 804, 808, 811, 824, 831, 835, 836, 839, 844, 845, 852, 856, 859], "through": [27, 32, 40, 52, 75, 95, 223, 380, 515, 516, 618, 627, 707, 713, 780, 791, 798, 799, 801, 802, 803, 805, 806, 809, 810, 811, 812, 814, 815, 817, 818, 819, 821, 822, 824, 825, 826, 828, 830, 831, 832, 833, 836, 837, 838, 847, 852, 854, 855, 856], "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, 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804, 805, 812], "page": [27, 798, 803, 804, 805, 810, 812, 818, 834, 835, 838, 840, 849], "newli": [28, 29, 41, 43, 49, 72, 147, 526, 616, 620, 805, 812, 824, 828], "randon": [28, 29, 31, 32, 33], "mean_": 28, "std_": 28, "detect": [28, 32, 51, 69, 74, 250, 618, 627, 704, 715, 803, 804, 809, 811, 812, 819, 828, 836, 837], "inspect": [28, 32, 522, 620], "__": [28, 29, 30, 31, 32, 33, 69, 815, 836], "exhibit": [29, 860], "via": [29, 32, 242, 369, 371, 434, 437, 440, 480, 618, 627, 714, 715, 805, 807, 811, 813, 814, 824, 829, 831, 833, 835, 836, 854], "script": [29, 798, 804, 805, 807, 812, 815, 833, 839, 854], "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, 441, 442, 443, 444, 445, 446, 447, 456, 457, 478, 480, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 524, 525, 527, 528, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 563, 564, 578, 579, 581, 583, 585, 586, 599, 605, 610, 626, 627, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 701, 702, 706, 717, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 747, 749, 750, 752, 753, 754, 783, 808, 811, 823, 825, 837, 838, 839, 854], "un": [29, 165, 616, 813, 833], "partial_comp": 29, "time_funct": 29, "slowest": [29, 52, 59, 75, 82, 371, 462, 625, 692], "express": [29, 51, 52, 74, 75, 93, 216, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 618, 784, 792, 816, 825, 833, 838, 854, 855], "fastest": [29, 52, 59, 75, 82, 369, 371, 432, 462, 625, 692], "maxim": [29, 821, 824, 833, 851, 852, 856, 857, 858], "conclud": [30, 829], "collect": [30, 40, 42, 44, 45, 47, 69, 70, 612, 617, 620, 621, 622, 624, 627, 628, 629, 717, 774, 778, 779, 780, 781, 782, 804, 812, 817, 818, 822, 823, 826, 828, 852, 854, 857], "norm_comp": [31, 32], "global": [31, 32, 42, 53, 69, 76, 98, 153, 154, 155, 156, 157, 206, 207, 208, 569, 570, 573, 578, 579, 591, 592, 595, 616, 617, 620, 770, 781, 787, 804, 808, 809, 812, 813, 814, 817, 821, 825, 833, 854], "approach": [31, 801, 803, 804, 805, 808, 811, 813, 814, 818, 821, 825, 828, 829, 831, 835, 836, 839, 851, 858, 860], "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, 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633, 648, 750, 752, 762, 765, 803, 808, 811, 812, 816, 820, 824, 826, 831, 839, 844], "explain": [32, 52, 75, 368, 401, 412, 798, 803, 804, 805, 807, 808, 809, 810, 811, 813, 814, 815, 816, 817, 818, 819, 820, 821, 823, 824, 825, 828, 829, 831, 833, 834, 835, 836, 837, 838, 850, 857, 860], "necessari": [32, 48, 52, 71, 75, 82, 123, 235, 268, 371, 450, 451, 452, 458, 460, 461, 462, 463, 464, 471, 486, 572, 594, 618, 620, 688, 689, 690, 692, 694, 695, 697, 699, 798, 803, 804, 808, 809, 811, 813, 815, 824, 825, 828, 830, 831, 847, 848], "standalon": [33, 803, 808, 828, 841, 850, 855, 860, 861], "dynam": [33, 625, 692, 780, 787, 806, 812, 813, 814, 824, 825, 830, 833, 847, 854, 858], "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, 414, 434, 440, 478, 489, 581, 615, 622, 648, 668, 775, 780, 825, 830, 839, 853, 854, 855], "flow": [34, 811, 847, 854, 855], "statement": [34, 39, 812, 824, 828, 831, 839, 847, 848], "opposit": 34, "exclud": [34, 65, 75, 88, 121, 142, 322, 362, 510, 511, 615, 629, 727, 743, 762, 765, 787, 815, 833, 847], "todo": [35, 36, 37, 42, 45, 75, 511, 803, 813, 825], "aim": [38, 801, 805, 807, 818, 822, 825, 828, 832, 852, 854, 857], "interfac": [38, 71, 129, 615, 835, 838, 839, 841, 844, 850, 851, 852, 853, 854, 858, 861], "set_framework": [38, 45], "44": [38, 42, 51, 52, 61, 74, 75, 84, 221, 268, 278, 282, 283, 333, 365, 368, 388, 389, 618, 622, 623, 627, 630, 633, 645, 668, 712, 725, 726, 734, 745], "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, 510, 516, 601, 607, 618, 621, 623, 625, 633, 668, 694, 726, 727, 745, 762], "46": [38, 40, 42, 52, 61, 75, 79, 84, 133, 258, 279, 308, 362, 368, 387, 405, 406, 615, 618, 627, 705, 725, 726], "underneath": [38, 812, 852], "sai": [38, 803, 804, 818, 822, 835, 845], "clip": [38, 51, 52, 59, 74, 75, 76, 82, 266, 267, 371, 455, 480, 481, 527, 528, 618, 620, 625, 811, 821, 823, 824, 836, 838], "a_min": 38, "a_max": 38, "tensforflow": 38, "clip_by_valu": [38, 838], "clip_value_min": 38, "clip_value_max": 38, "clamp": [38, 52, 75, 294, 360, 838], "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, 421, 477, 517, 533, 563, 564, 578, 615, 616, 618, 620, 623, 633, 664, 670, 673, 674, 680, 798], "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, 421, 477, 479, 480, 527, 528, 533, 549, 563, 564, 616, 618, 620, 623, 633, 664, 666, 669, 762, 778, 782, 812, 825], "49": [38, 42, 52, 61, 75, 79, 80, 282, 368, 369, 380, 389, 399, 410, 432, 510, 618, 633, 678, 726, 745], "devicearrai": [38, 808, 825, 833, 835], "concaten": [38, 52, 53, 59, 75, 80, 371, 457, 532, 536, 620, 622, 625, 648, 668, 686, 762, 826, 831, 833, 836], "accept": [38, 47, 48, 51, 52, 57, 70, 74, 75, 121, 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814, 820, 829, 833], "datatyp": [48, 52, 69, 71, 75, 123, 131, 135, 152, 173, 177, 368, 414, 615, 616, 757, 829, 847], "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, 495, 496, 498, 499, 615, 617, 629, 724, 725, 726, 727, 777, 782, 783, 813, 814, 817, 820, 829], "39999998": [48, 122, 123, 615, 631, 736], "5999999": [48, 52, 75, 79, 122, 123, 292, 360, 369, 416, 615, 622, 645, 651], "0999999": [48, 65, 122, 123, 292, 301, 304, 346, 360, 365, 615, 747], "10000038": [48, 122, 123, 615], "90786433e": [48, 122, 123, 615], "310": [48, 122, 123, 615], "copy_arrai": [48, 71, 615], "to_ivy_arrai": [48, 71, 124, 615], "empty_lik": [48, 52, 71, 75, 259, 369, 419, 615, 618], "uniniti": [48, 125, 126, 615, 819], "from_dlpack": [48, 71, 615], "full_lik": [48, 71, 615, 829], "fill_valu": [48, 52, 62, 71, 75, 85, 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52, 57, 80, 140, 141, 323, 362, 615, 623, 656, 664, 666, 667, 669, 670, 674, 677], "matric": [48, 52, 57, 75, 80, 92, 93, 97, 134, 140, 141, 323, 362, 369, 371, 420, 425, 426, 428, 432, 433, 438, 461, 615, 622, 623, 646, 652, 654, 656, 657, 658, 659, 660, 661, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 677, 678, 764, 801, 818, 854], "diagon": [48, 52, 57, 75, 80, 93, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 418, 421, 429, 435, 461, 615, 623, 655, 677], "triangular": [48, 52, 57, 80, 140, 141, 142, 322, 323, 362, 369, 435, 615, 623, 652, 658, 659, 666, 670], "alloc": [48, 49, 52, 72, 140, 141, 147, 323, 362, 615, 616, 803, 805, 839], "triu": [48, 71, 615], "upper": [48, 52, 57, 61, 75, 80, 84, 127, 141, 142, 307, 323, 362, 369, 380, 435, 512, 615, 623, 629, 652, 658, 659, 670, 727, 813, 824, 828], "zeros_lik": [48, 52, 71, 147, 264, 371, 480, 601, 602, 605, 607, 608, 609, 615, 616, 618, 621, 623, 625, 670, 685, 825, 831], "data_typ": [49, 52, 72, 75, 177, 616, 810, 813, 828, 829], "_arraywithdatatyp": [49, 97], "irrespect": [49, 57, 72, 80, 147, 616, 623, 673, 811, 824, 835, 861], "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, 509, 572, 594, 616, 618, 620, 623, 625, 633, 652, 653, 660, 661, 663, 664, 665, 666, 668, 669, 671, 672, 679, 680, 686, 696, 739, 747, 750, 762, 763, 807, 816, 817, 821, 830], "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, 480, 507, 508, 515, 516, 517, 518, 545, 599, 613, 616, 618, 620, 631, 633, 634, 735, 736, 737, 738, 746, 747, 748, 750, 751, 752, 753, 754, 762, 765, 807, 813, 816, 823, 829, 830], "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, 545, 613, 616, 618, 620, 623, 633, 634, 671, 680, 746, 748, 753, 754, 807, 816], "desir": [49, 50, 52, 62, 69, 72, 73, 75, 85, 92, 147, 149, 150, 209, 313, 353, 362, 365, 371, 380, 470, 515, 518, 519, 616, 617, 623, 630, 675, 732, 777, 778, 805, 809, 812, 813, 814, 825, 833, 843, 847, 854], "broadcast_arrai": [49, 72, 616], "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, 446, 516, 535, 537, 538, 539, 540, 549, 583, 586, 616, 617, 618, 620, 622, 623, 624, 625, 628, 633, 636, 638, 641, 643, 644, 646, 651, 652, 675, 682, 684, 685, 723, 745, 747, 750, 763, 765, 803, 806, 813, 814, 815, 824, 831, 833, 841, 854, 858, 860], "broadcast_to": [49, 72, 616, 813], "can_cast": [49, 72, 616, 813, 821, 825], "accord": [49, 52, 53, 59, 65, 72, 82, 88, 150, 160, 218, 229, 235, 242, 268, 279, 313, 362, 368, 371, 412, 472, 539, 542, 563, 564, 616, 618, 620, 623, 625, 633, 679, 687, 700, 750, 752, 757, 764, 784, 791, 803, 804, 807, 813, 819, 821, 825, 828], "finfo": [49, 72, 616, 828], "resolut": [49, 72, 160, 616, 805], "4028235e": [49, 160, 616], "iinfo": [49, 72, 616], "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, 458, 467, 472, 480, 486, 495, 496, 497, 498, 499, 501, 502, 507, 509, 510, 511, 516, 519, 542, 558, 568, 600, 615, 616, 618, 620, 622, 623, 625, 629, 632, 633, 634, 635, 636, 637, 638, 640, 642, 644, 653, 655, 665, 679, 680, 694, 724, 725, 726, 727, 728, 729, 741, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 763, 764, 765, 770, 778, 792, 805, 811, 813, 823, 826, 828, 833, 835], "119": [49, 163], "1220": [49, 163], "int16": [49, 52, 61, 65, 72, 84, 150, 154, 156, 161, 163, 170, 185, 380, 510, 511, 616, 633, 725, 743, 744, 749, 751, 762, 763, 813, 825, 828, 833], "32768": [49, 72, 163, 579, 620], "32767": [49, 72, 163], "is_bool_dtyp": [49, 72, 616], "is_float_dtyp": [49, 72, 616, 829], "is_int_dtyp": [49, 72, 616, 826, 829], "is_uint_dtyp": [49, 72, 616, 826, 829], "result_typ": [49, 72, 616, 813], "arrays_and_dtyp": [49, 72, 175, 616], "_arraywithdevic": [50, 97], "move": [50, 52, 73, 75, 142, 205, 209, 213, 322, 362, 371, 471, 615, 617, 780, 798, 805, 814, 829], "addit": [50, 52, 53, 60, 73, 75, 76, 83, 118, 120, 209, 218, 278, 374, 380, 493, 508, 513, 532, 533, 534, 600, 614, 617, 618, 620, 622, 626, 628, 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"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"]], "Resnet 18": [[45, "Resnet-18"]], "0.1: Compile": [[29, "0.1:-Compile"]], "Transpiling a haiku model to build on top": [[12, "Transpiling-a-haiku-model-to-build-on-top"]], "1.0: Lazy vs Eager": [[31, "1.0:-Lazy-vs-Eager"]], "Unify": [[31, "Unify"], [33, "Unify"], [32, "Unify"], [22, "Unify"], [21, "Unify"]], "Compile": [[31, "Compile"], [33, "Compile"], [32, "Compile"]], "Transpile": [[31, "Transpile"], [33, "Transpile"], [32, "Transpile"], [22, "Transpile"], [21, "Transpile"]], "Ivy AlexNet demo": [[3, "Ivy-AlexNet-demo"]], "Installation": [[3, "Installation"], [7, "Installation"]], "Data Preparation": [[3, "Data-Preparation"], [7, "Data-Preparation"], [4, "Data-Preparation"], [5, "Data-Preparation"]], "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)"]], "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"]], "1.2: As a Decorator": [[33, "1.2:-As-a-Decorator"]], "Transpile any model": [[24, "Transpile-any-model"]], "Round up": [[24, "Round-up"]], "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"]], "Transpiling a Tensorflow model to build on top": [[13, "Transpiling-a-Tensorflow-model-to-build-on-top"]], "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"]], "Examples and Demos": [[2, "examples-and-demos"], [15, "examples-and-demos"]], "Using Ivy ResNet": [[7, "Using-Ivy-ResNet"]], "Imports": [[7, "Imports"], [5, "Imports"], [9, "Imports"]], "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"]], "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"]], "# 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"]], "Write a model using Ivy": [[25, "Write-a-model-using-Ivy"]], "TO REPLACE: Title": [[1, "TO-REPLACE:-Title"]], "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"]], "1.1: Framework Selection": [[32, "1.1:-Framework-Selection"]], "Unify code": [[18, "Unify-code"]], "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"]], "Developing a convolutional network using Ivy": [[14, "Developing-a-convolutional-network-using-Ivy"]], "Trace code": [[19, "Trace-code"]], "How to use decorators": [[22, "How-to-use-decorators"]], "Trace": [[22, "Trace"], [21, "Trace"]], "Lazy vs Eager": [[21, "Lazy-vs-Eager"]], "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."]], "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 PyTorch model to build on top": [[11, "Transpiling-a-PyTorch-model-to-build-on-top"]], "Transpile any library": [[23, "Transpile-any-library"]], "Accelerating PyTorch models with JAX": [[8, "Accelerating-PyTorch-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"]], "2.0: Kornia": [[35, "2.0:-Kornia"]], "3.1: Stable Diffusion": [[37, "3.1:-Stable-Diffusion"]], "3.0: Perceiver": [[36, "3.0:-Perceiver"]], "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"]], "Demos": [[0, "demos"]], "Creating a Notebook for Demo": [[0, "creating-a-notebook-for-demo"]], "0.0: Unify": [[28, "0.0:-Unify"]], "Tutorials And Examples": [[15, "tutorials-and-examples"]], "Write Ivy code": [[17, "Write-Ivy-code"]], "Contents": [[17, "Contents"]], "Installing Ivy": [[17, "Installing-Ivy"]], "Importing Ivy": [[17, "Importing-Ivy"]], "Transpile code": [[20, "Transpile-code"]], "0.2: Transpile": [[30, "0.2:-Transpile"]], "Accelerating MMPreTrain models with JAX": [[6, 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[2, 3, 4, 5, 6, 7, 10, 12, 13, 15, 16, 24, 26, 27, 38, 45, 278, 329, 330, 365, 618, 782, 798, 802, 803, 808, 813, 814, 817, 820, 821, 824, 825, 826, 831, 833, 838, 839, 841, 844, 845, 847, 848, 855, 857, 858, 860, 861], "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, 519, 549, 581, 600, 612, 618, 620, 631, 735, 736, 737, 738, 770, 774, 787, 798, 801, 802, 803, 804, 805, 807, 809, 813, 814, 817, 818, 820, 823, 824, 825, 826, 828, 829, 831, 833, 835, 838, 839, 844, 845, 847, 848, 849, 855, 857, 860, 861], "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, 450, 451, 452, 500, 565, 582, 584, 585, 586, 588, 615, 616, 617, 618, 620, 623, 627, 681, 705, 716, 717, 759, 787, 791, 798, 803, 808, 809, 822, 823, 825, 828, 830, 833, 839, 841, 845, 848, 852, 853, 860], "them": [2, 3, 6, 8, 11, 13, 15, 26, 27, 32, 369, 435, 526, 562, 620, 762, 778, 798, 800, 803, 805, 807, 808, 809, 810, 811, 812, 813, 817, 819, 822, 824, 825, 826, 828, 830, 833, 835, 836, 837, 839, 841, 842, 843, 844, 845, 846, 847, 848, 849, 851, 852, 854, 856, 860], "faster": [2, 3, 6, 8, 9, 15, 26, 27, 43, 45, 52, 57, 75, 80, 369, 438, 623, 673, 800, 802, 810, 841, 856, 859], "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, 497, 543, 577, 615, 616, 620, 622, 625, 645, 692, 787, 788, 806, 809, 813, 814, 828, 833, 838, 848, 852, 853, 856, 858], "mmpretrain": [2, 15], "segment": [2, 15, 52, 75, 324, 325, 326, 362, 810, 815], "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, 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"video": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 798, 799, 804, 805, 807, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 840, 852], "tutori": [3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 21, 22, 23, 24, 27, 798, 805, 825, 840], "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, 549, 551, 555, 562, 567, 584, 615, 616, 617, 620, 759, 770, 775, 787, 798, 801, 803, 813, 814, 817, 818, 821, 822, 824, 825, 826, 828, 833, 835, 836, 841, 847, 848, 849, 852, 861], "integr": [3, 4, 11, 13, 20, 27, 30, 49, 51, 52, 72, 74, 75, 147, 287, 348, 365, 380, 512, 616, 618, 798, 802, 804, 806, 822, 848, 852, 854, 856, 857, 858], "three": [3, 4, 15, 21, 31, 32, 42, 52, 134, 306, 362, 371, 452, 615, 804, 805, 811, 812, 813, 815, 825, 828, 831, 832, 833, 855, 860], "major": [3, 4, 630, 733, 813, 814, 826, 828, 839, 844, 851, 854], "ml": [3, 4, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 40, 42, 45, 798, 799, 802, 825, 832, 833, 834, 836, 837, 838, 842, 844, 845, 848, 850, 851, 852, 853, 854, 857, 859, 861], "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, 530, 546, 550, 581, 584, 616, 617, 620, 627, 706, 757, 759, 763, 770, 775, 782, 787, 788, 798, 801, 803, 804, 806, 807, 808, 809, 810, 812, 813, 814, 815, 817, 818, 820, 821, 822, 824, 825, 828, 829, 831, 832, 833, 835, 838, 839, 840, 841, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 855, 858], "sinc": [3, 5, 7, 23, 24, 26, 27, 40, 42, 52, 75, 93, 365, 798, 800, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 817, 824, 825, 839, 844, 854, 860], "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, 460, 618, 780, 798, 799, 800, 803, 804, 805, 810, 812, 814, 817, 819, 821, 822, 823, 824, 828, 831, 836, 837, 838, 839, 840, 844, 848], "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, 413, 432, 461, 472, 549, 602, 605, 607, 608, 609, 616, 618, 620, 621, 622, 627, 628, 635, 636, 637, 638, 640, 642, 644, 645, 715, 723, 782, 787, 798, 803, 804, 805, 807, 809, 810, 812, 813, 815, 817, 820, 823, 826, 828, 832, 840, 847, 848, 854], "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, 419, 420, 421, 423, 427, 446, 456, 458, 462, 469, 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804, 805, 812, 814, 835, 840, 852, 854, 857, 858, 859], "enabl": [3, 4, 5, 6, 7, 8, 9, 21, 22, 24, 41, 52, 57, 69, 80, 98, 368, 370, 390, 444, 567, 620, 623, 666, 780, 798, 804, 805, 808, 811, 813, 821, 822, 823, 824, 825, 828, 829, 832, 834, 836, 838, 839, 841, 844, 847, 852, 853, 854, 855, 856, 857, 860, 861], "dm": [3, 4, 5, 6, 8, 26, 27, 38, 40], "haiku": [3, 4, 5, 6, 8, 24, 26, 27, 38, 40, 44, 775, 798, 838, 845, 848, 854], "exit": [3, 5, 7, 26, 27, 814], "download": [3, 7, 11, 13, 26, 27, 41, 42, 45, 800, 804, 810, 828, 847, 848], "imagenet": [3, 13, 41, 43, 798], "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, 420, 515, 516, 523, 532, 536, 549, 559, 581, 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487, 488, 489, 490, 491, 492, 493, 494, 496, 501, 502, 508, 509, 510, 511, 512, 514, 515, 516, 517, 518, 519, 521, 524, 525, 527, 528, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 542, 543, 545, 547, 548, 549, 551, 552, 553, 555, 556, 563, 564, 565, 568, 571, 572, 574, 575, 577, 578, 579, 581, 583, 585, 586, 588, 593, 594, 596, 597, 599, 602, 603, 605, 607, 608, 609, 610, 612, 614, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 626, 627, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 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, 710, 711, 712, 714, 715, 716, 717, 721, 722, 724, 725, 726, 727, 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, 757, 759, 762, 763, 764, 765, 778, 779, 780, 781, 782, 784, 787, 789, 791, 792, 796, 798, 801, 804, 809, 811, 812, 813, 814, 815, 817, 818, 820, 821, 822, 824, 825, 826, 828, 830, 831, 833, 836, 837, 838, 847, 848], "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, 525, 549, 616, 617, 620, 626, 702, 703, 787, 798, 807, 809, 813, 814, 821, 822, 823, 833, 835, 838, 847, 848, 849], "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, 369, 371, 374, 378, 417, 420, 421, 422, 423, 424, 428, 432, 434, 437, 440, 462, 463, 464, 469, 470, 482, 488, 489, 490, 493, 502, 615, 618, 622, 623, 625, 626, 630, 631, 632, 636, 637, 638, 639, 640, 641, 644, 657, 658, 664, 673, 674, 678, 680, 689, 692, 701, 702, 733, 735, 736, 737, 738, 739, 741, 742, 759, 781, 783, 792, 798, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 825, 826, 827, 828, 829, 830, 831, 836, 838, 839, 843, 850, 853, 854, 855, 857, 860], "quick": [3, 15, 27, 805, 806, 826, 837], "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, 432, 516, 567, 573, 587, 603, 604, 606, 614, 617, 620, 621, 623, 627, 671, 704, 710, 714, 715, 759, 770, 778, 779, 780, 782, 787, 792, 798, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 824, 825, 826, 828, 829, 831, 833, 835, 836, 837, 838, 839, 844, 847, 848, 849, 854, 855, 858], "trace_graph": [3, 4, 5, 7, 19, 20, 21, 22, 26, 27, 29, 30, 31, 32, 33, 34, 43, 780, 798, 833, 838, 846], "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, 414, 423, 435, 455, 462, 481, 510, 511, 614, 615, 618, 622, 623, 625, 626, 648, 663, 667, 692, 703, 743, 762, 770, 777, 778, 791, 798, 799, 803, 804, 805, 807, 808, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 821, 824, 825, 826, 828, 831, 833, 835, 837, 838, 839, 840, 845, 847, 848, 851, 852, 860], "moment": [3, 52, 54, 75, 77, 369, 424, 601, 602, 607, 621, 782, 803, 809, 839, 847, 848], "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, 415, 417, 426, 433, 446, 450, 451, 452, 456, 462, 463, 464, 469, 471, 476, 479, 488, 489, 490, 495, 500, 510, 511, 514, 515, 516, 517, 518, 519, 521, 559, 563, 564, 566, 583, 585, 586, 599, 601, 602, 605, 607, 608, 609, 610, 615, 616, 617, 618, 620, 621, 622, 623, 625, 628, 630, 631, 633, 636, 637, 638, 639, 640, 641, 644, 660, 663, 664, 668, 670, 679, 680, 688, 689, 690, 693, 695, 699, 723, 730, 733, 735, 736, 737, 738, 743, 745, 762, 764, 781, 784, 787, 792, 795, 798, 803, 804, 805, 807, 808, 809, 810, 811, 813, 814, 815, 818, 819, 820, 821, 822, 823, 824, 825, 826, 828, 830, 831, 832, 835, 836, 838, 839, 840, 841, 844, 845, 848, 854, 855, 857, 860], "cost": [3, 54, 77, 601, 602, 605, 607, 608, 609, 621, 626, 701, 702, 703, 792, 813, 831, 852], "arg": [3, 5, 6, 7, 11, 13, 21, 22, 24, 26, 27, 31, 32, 33, 44, 47, 69, 91, 101, 117, 198, 208, 587, 614, 615, 617, 620, 757, 759, 774, 775, 778, 779, 780, 784, 787, 791, 796, 798, 808, 813, 814, 817, 823, 824, 825, 831, 833, 837, 847, 848, 849], "asarrai": [3, 4, 5, 6, 7, 41, 48, 52, 53, 64, 71, 75, 76, 87, 122, 378, 501, 502, 532, 543, 547, 548, 578, 579, 615, 620, 622, 631, 632, 636, 736, 740, 817, 822, 825, 826], "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, 495, 496, 498, 499, 615, 617, 623, 629, 674, 724, 725, 726, 727, 777, 778, 779, 780, 781, 782, 783, 798, 833, 839, 841, 859], "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, 413, 416, 419, 430, 441, 442, 443, 444, 446, 447, 450, 451, 452, 456, 458, 462, 467, 468, 471, 472, 477, 478, 480, 481, 483, 486, 487, 497, 499, 500, 507, 510, 511, 513, 514, 519, 525, 527, 528, 532, 533, 536, 547, 548, 549, 556, 563, 564, 578, 581, 601, 602, 604, 605, 606, 607, 608, 609, 612, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 627, 628, 629, 630, 631, 632, 633, 636, 637, 639, 641, 643, 644, 645, 646, 651, 653, 654, 655, 656, 658, 659, 660, 663, 665, 668, 670, 671, 673, 674, 675, 677, 678, 679, 682, 683, 684, 685, 688, 689, 694, 696, 697, 699, 704, 705, 712, 716, 723, 724, 725, 726, 727, 729, 734, 735, 737, 739, 740, 742, 743, 744, 745, 747, 749, 751, 752, 762, 804, 805, 809, 811, 812, 815, 821, 824, 828], "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, 414, 415, 417, 418, 419, 421, 423, 426, 427, 430, 431, 432, 433, 435, 436, 439, 441, 442, 443, 444, 445, 446, 447, 448, 455, 456, 457, 460, 462, 463, 464, 465, 466, 469, 470, 471, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 484, 485, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 502, 507, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 526, 527, 528, 532, 533, 534, 536, 540, 549, 556, 563, 564, 565, 588, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 627, 628, 629, 630, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 674, 675, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 695, 696, 697, 698, 700, 717, 723, 724, 725, 726, 727, 729, 730, 731, 732, 733, 734, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 757, 762, 777, 778, 791, 792, 798, 800, 804, 805, 806, 807, 808, 810, 811, 813, 814, 815, 816, 819, 820, 821, 822, 823, 824, 825, 826, 828, 829, 830, 833, 835, 837, 838, 839, 841, 847, 848, 855], "softmax": [3, 7, 11, 24, 26, 27, 42, 46, 56, 67, 68, 79, 370, 442, 612, 622, 648, 651, 774, 798], "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, 370, 371, 374, 375, 380, 442, 462, 488, 490, 495, 515, 516, 549, 614, 616, 617, 618, 620, 626, 701, 702, 757, 759, 763, 770, 775, 779, 780, 782, 783, 787, 791, 796, 798, 801, 803, 805, 807, 808, 809, 811, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 828, 831, 839, 847, 848, 849, 852], "argsort": [3, 7, 64, 87, 632, 741, 825], "descend": [3, 7, 64, 87, 623, 632, 673, 674, 739, 742], "top": [3, 7, 10, 15, 24, 26, 27, 40, 41, 52, 59, 75, 313, 362, 371, 482, 532, 620, 686, 798, 804, 805, 813, 818, 825, 827, 828, 831, 836, 837, 854, 858], "logit": [3, 4, 5, 7, 40, 41, 42, 43, 52, 58, 75, 81, 360, 375, 495, 498, 624, 682, 684, 774, 798, 847], "gather": [3, 7, 40, 52, 53, 75, 76, 324, 325, 326, 362, 540, 542, 620, 861], "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, 416, 419, 421, 423, 424, 432, 439, 441, 442, 443, 444, 445, 446, 447, 453, 455, 457, 468, 472, 477, 478, 480, 481, 482, 487, 491, 492, 494, 509, 510, 511, 512, 519, 521, 523, 524, 525, 526, 527, 528, 531, 532, 533, 534, 535, 536, 539, 540, 542, 543, 544, 545, 547, 548, 549, 551, 552, 553, 555, 559, 560, 562, 563, 564, 568, 569, 570, 573, 576, 577, 578, 579, 581, 583, 585, 586, 587, 591, 592, 595, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 614, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 641, 643, 644, 645, 646, 651, 652, 653, 654, 656, 658, 659, 660, 661, 663, 664, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 677, 679, 680, 682, 683, 684, 685, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 702, 703, 704, 705, 707, 708, 710, 711, 712, 713, 715, 716, 721, 722, 723, 724, 725, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 787, 791, 792, 796, 798, 804, 805, 811, 813, 815, 826, 828, 830, 833, 835, 836, 837, 847, 849], "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, 421, 440, 442, 450, 451, 452, 455, 458, 460, 462, 463, 464, 467, 471, 477, 478, 480, 481, 482, 485, 486, 500, 501, 502, 524, 539, 540, 542, 563, 564, 568, 600, 603, 604, 615, 618, 620, 621, 622, 623, 625, 627, 628, 629, 630, 631, 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414, 418, 422, 425, 445, 446, 462, 472, 475, 482, 509, 514, 515, 516, 517, 518, 519, 521, 525, 532, 544, 549, 565, 566, 567, 569, 570, 571, 572, 573, 574, 575, 576, 581, 589, 612, 614, 615, 616, 617, 618, 620, 622, 623, 627, 629, 630, 632, 633, 645, 651, 653, 664, 666, 669, 672, 673, 704, 711, 714, 715, 716, 721, 722, 728, 730, 731, 735, 737, 738, 739, 742, 750, 752, 759, 762, 763, 764, 765, 770, 777, 778, 780, 782, 787, 792, 795, 798, 799, 805, 806, 807, 808, 810, 811, 812, 813, 814, 815, 817, 819, 821, 822, 824, 825, 826, 828, 829, 831, 833, 835, 836, 843, 846, 847, 848, 852, 853, 854, 855, 856, 858, 861], "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, 612, 613, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 764, 774, 775, 777, 778, 780, 781, 782, 783, 798, 799, 800, 802, 803, 804, 805, 806, 807, 808, 810, 811, 812, 813, 815, 817, 818, 819, 822, 825, 826, 827, 828, 829, 831, 832, 833, 835, 836, 837, 838, 839, 843, 844, 847, 859, 860], "post": [3, 5, 40, 60, 83, 628, 723, 804, 818, 823, 838, 840], "process": [3, 5, 21, 26, 27, 31, 40, 202, 214, 617, 799, 804, 805, 810, 811, 812, 818, 819, 821, 823, 825, 826, 827, 828, 831, 833, 838, 844, 845, 847, 852, 853, 854, 857, 858, 860, 861], "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, 413, 422, 455, 456, 458, 462, 467, 469, 486, 510, 511, 526, 532, 533, 539, 548, 564, 618, 620, 622, 623, 624, 625, 627, 629, 630, 631, 633, 636, 637, 645, 646, 656, 659, 660, 661, 663, 664, 668, 672, 673, 674, 675, 677, 679, 682, 684, 689, 694, 695, 697, 699, 710, 712, 722, 725, 726, 727, 734, 735, 743, 744, 745, 752, 811, 812, 813, 815, 823], "st": [3, 4, 6, 762, 807, 826, 828], "perf_count": [3, 6], "raw_logit": 3, "latenc": [3, 6], "nn": [3, 5, 13, 24, 26, 27, 40, 44, 134, 615, 798, 821, 826, 831, 838, 848, 855], "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, 444, 449, 457, 458, 459, 462, 463, 464, 467, 472, 477, 478, 480, 481, 482, 485, 486, 491, 492, 494, 502, 507, 510, 511, 512, 514, 515, 516, 517, 518, 519, 532, 539, 600, 612, 615, 617, 618, 620, 622, 623, 624, 625, 626, 629, 630, 631, 632, 633, 634, 644, 653, 656, 664, 677, 679, 680, 682, 683, 684, 686, 687, 688, 689, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 702, 703, 729, 730, 731, 735, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 764, 774, 778, 779, 784, 811, 813, 815, 817, 820, 821, 824, 825, 828, 831, 833, 835, 838], "direct": [3, 52, 75, 335, 341, 345, 350, 354, 365, 368, 371, 401, 412, 463, 464, 478, 632, 742, 803, 808, 810, 825, 831, 837, 838, 850, 854, 855, 858], "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, 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414, 435, 445, 456, 480, 495, 496, 497, 498, 499, 509, 510, 511, 512, 515, 518, 519, 536, 537, 538, 540, 549, 558, 585, 615, 616, 617, 618, 620, 622, 623, 626, 629, 630, 632, 633, 634, 638, 645, 664, 680, 702, 703, 725, 726, 727, 730, 731, 732, 741, 742, 743, 744, 749, 751, 753, 754, 757, 759, 762, 764, 765, 777, 778, 779, 780, 781, 783, 798, 801, 807, 809, 813, 814, 815, 817, 818, 821, 822, 824, 825, 826, 828, 829, 833, 835, 848], "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, 500, 510, 511, 512, 540, 549, 585, 615, 616, 617, 618, 620, 629, 630, 633, 725, 726, 727, 731, 743, 744, 749, 751, 762, 763, 813, 825, 828, 833], "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, 435, 445, 512, 549, 585, 615, 616, 618, 620, 622, 623, 626, 638, 640, 641, 644, 671, 673, 674, 680, 702, 703, 759, 762, 763, 798, 813, 815, 826, 828, 829, 848, 849], "As": [3, 5, 6, 8, 9, 11, 13, 19, 23, 24, 26, 27, 29, 32, 38, 39, 63, 67, 90, 631, 735, 736, 737, 738, 798, 801, 803, 804, 805, 808, 810, 811, 812, 813, 814, 817, 818, 819, 820, 821, 824, 825, 826, 827, 828, 831, 835, 836, 837, 839, 843, 847, 848, 849, 854, 859], "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, 445, 523, 616, 618, 620, 624, 668, 682, 777, 778, 798, 804, 805, 807, 813, 814, 817, 819, 822, 824, 826, 828, 831, 839, 840, 845, 847, 848, 849], "ident": [3, 9, 24, 41, 43, 57, 69, 127, 196, 542, 568, 615, 617, 620, 623, 627, 660, 665, 717, 778, 811, 821, 822, 825, 826, 829, 831, 835, 836, 839, 841, 843, 845], "had": [3, 811, 812, 824, 829, 833, 854, 855], "anoth": [3, 17, 19, 20, 23, 24, 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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, 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824, 825, 826, 828, 833, 836, 839, 847, 848, 854], "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, 413, 455, 456, 458, 462, 467, 486, 499, 510, 511, 527, 528, 532, 533, 548, 570, 578, 601, 612, 616, 617, 618, 620, 621, 622, 623, 625, 626, 627, 630, 631, 633, 636, 637, 645, 646, 656, 660, 668, 672, 674, 677, 699, 703, 716, 725, 726, 727, 734, 735, 743, 744, 745, 811, 813, 815, 825], "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, 413, 417, 423, 424, 456, 458, 462, 467, 486, 510, 578, 601, 616, 618, 620, 621, 622, 623, 625, 627, 631, 633, 636, 637, 639, 641, 643, 645, 656, 658, 660, 668, 675, 677, 679, 699, 716, 725, 726, 727, 735, 744, 745, 811, 815, 828], "overrid": [3, 5, 32, 41, 48, 52, 71, 75, 136, 380, 509, 615, 808, 810], "behavior": [3, 5, 52, 63, 235, 242, 268, 277, 381, 520, 567, 590, 618, 620, 631, 735, 736, 737, 738, 803, 810, 811, 812, 813, 824, 825, 826, 828, 831, 833, 839, 851], "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, 519, 534, 547, 578, 612, 615, 618, 620, 623, 627, 629, 636, 661, 668, 712, 727], "memori": [3, 5, 8, 21, 22, 23, 24, 48, 52, 59, 71, 75, 82, 123, 134, 190, 202, 208, 210, 214, 371, 380, 450, 451, 458, 460, 462, 463, 464, 471, 486, 516, 562, 567, 590, 615, 617, 620, 622, 625, 647, 688, 689, 690, 692, 694, 695, 697, 699, 792, 812, 813, 814, 824, 825, 831, 833, 839, 847, 854, 856, 857, 858], "temporari": [3, 5, 576, 598, 620, 792, 813, 830], "fix": [3, 5, 42, 52, 75, 92, 93, 365, 369, 440, 622, 648, 798, 801, 804, 805, 807, 813, 819, 828, 829], "until": [3, 5, 792, 805, 824, 833, 839, 844, 847, 861], "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, 455, 481, 612, 617, 618, 623, 633, 677, 749, 751, 774, 782, 799, 806, 811, 812, 813, 819, 820, 821, 823, 824, 825, 826, 827, 828, 830, 831, 837, 851, 861], "o": [3, 5, 39, 40, 41, 42, 44, 559, 620, 622, 648, 798, 804, 806, 812, 833, 840], "environ": [3, 5, 8, 21, 22, 23, 24, 41, 44, 798, 799, 805, 840, 854, 856], "xla_python_client_alloc": [3, 5], "platform": [3, 5, 9, 21, 22, 24, 800, 802, 804, 810, 852, 856, 858], "jit": [3, 6, 8, 26, 29, 833, 839, 847, 854], "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, 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860], "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, 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847, 849, 851, 852, 853, 854, 855, 860, 861], "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, 421, 445, 472, 488, 490, 516, 556, 618, 620, 623, 624, 633, 659, 668, 671, 682, 683, 684, 746, 747, 748, 749, 750, 751, 752, 762, 764, 777, 778, 781, 803, 816, 833, 844, 847], "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, 413, 462, 612, 618, 623, 629, 633, 640, 656, 663, 668, 675, 725, 726, 727, 744, 745, 749, 811, 813, 815], "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, 413, 419, 424, 462, 510, 618, 623, 627, 629, 632, 656, 664, 677, 715, 725, 726, 727, 742, 815], "006431100999861883": 3, "258": [3, 622, 637, 639], "104": [3, 65, 623, 633, 668, 745], "259": 3, "72447652": 3, "13937832": 3, "05874982": 3, "samoi": 3, "wallabi": 3, "pomeranian": 3, "incorrect": [3, 812], "predict": [3, 5, 7, 9, 40, 41, 42, 43, 52, 58, 75, 81, 370, 441, 444, 447, 624, 682, 683, 684, 798, 813], "down": [3, 19, 29, 43, 52, 75, 368, 371, 403, 464, 804, 828, 841, 854, 860], "itself": [3, 21, 31, 51, 92, 269, 522, 587, 618, 620, 627, 716, 792, 801, 804, 805, 807, 810, 811, 812, 813, 814, 817, 818, 819, 824, 825, 837, 839, 843, 847, 853, 854, 855, 860], "version": [3, 9, 23, 24, 29, 40, 41, 42, 45, 46, 52, 75, 92, 105, 286, 334, 336, 365, 380, 514, 519, 600, 618, 620, 623, 658, 659, 759, 787, 788, 798, 804, 805, 810, 812, 813, 816, 824, 826, 833, 843, 844, 845, 848, 860, 861], "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, 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378, 380, 390, 391, 392, 393, 395, 396, 400, 401, 409, 411, 434, 449, 502, 510, 511, 532, 533, 534, 547, 548, 549, 565, 575, 612, 615, 617, 618, 620, 622, 623, 626, 627, 633, 634, 645, 647, 673, 675, 680, 701, 702, 703, 711, 712, 743, 744, 753, 754, 757, 774, 778, 792, 807, 808, 809, 811, 813, 814, 815, 820, 821, 822, 824, 825, 826, 828, 829, 831, 833, 836, 839, 845, 847, 848, 851, 854, 855, 856, 857, 858, 859, 861], "inplac": [5, 7, 8, 9, 21, 22, 23, 24, 47, 53, 69, 76, 92, 95, 523, 525, 546, 549, 550, 567, 568, 620, 627, 711, 712, 716, 721, 722, 769, 770, 775, 782, 806, 808, 815, 818, 820, 822, 825, 831, 835, 837], "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, 413, 462, 533, 548, 601, 603, 612, 615, 618, 620, 621, 622, 623, 627, 629, 636, 645, 646, 656, 660, 712, 725, 726, 727, 729, 811], "factor": [5, 9, 52, 54, 56, 57, 75, 77, 79, 80, 91, 92, 93, 94, 95, 206, 207, 208, 368, 369, 374, 401, 412, 425, 426, 434, 437, 439, 440, 493, 601, 602, 607, 608, 617, 621, 622, 623, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 652, 762, 764, 765, 777, 778, 782, 817, 844], "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, 532, 542, 616, 618, 620, 622, 623, 637, 639, 644, 668, 798], "down2": 5, "down3": 5, "down4": 5, "1024": [5, 7, 40, 41, 798], "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, 435, 466, 509, 521, 524, 616, 617, 618, 620, 623, 630, 632, 653, 660, 663, 668, 672, 675, 676, 679, 734, 741, 759, 784, 798, 807, 813, 815, 817, 820, 824, 825, 848, 849], "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, 423, 435, 466, 509, 521, 524, 616, 617, 618, 620, 623, 630, 653, 660, 663, 668, 672, 675, 676, 679, 734, 759, 784, 807, 813, 815, 817, 820, 824, 825], "x3": [5, 49, 53, 148, 521, 616, 620], "x4": 5, "x5": 5, "in_channel": 5, "out_channel": 5, "mid_channel": 5, "double_conv": 5, "with_bia": [5, 778, 798, 837, 848], "batchnorm2d": [5, 7, 781], "downscal": [5, 53, 76, 527, 528, 549, 620], "maxpool": [5, 7], "doubl": 5, "conv": [5, 622, 778, 831], "maxpool_conv": 5, "upscal": 5, "scale_factor": [5, 52, 75, 368, 403, 831], "align_corn": [5, 52, 75, 368, 403, 831], "conv2dtranspos": [5, 778], "valid": [5, 40, 42, 52, 56, 66, 75, 79, 89, 92, 93, 152, 368, 369, 386, 387, 388, 404, 405, 406, 407, 409, 410, 413, 432, 440, 552, 616, 620, 622, 625, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 688, 696, 753, 754, 762, 763, 778, 791, 804, 809, 813, 815, 819, 823, 826, 828, 847, 855], "bhwc": 5, "diff_h": 5, "diff_w": 5, "pad_width": [5, 52, 59, 75, 82, 371, 472, 625, 687, 700], "constant_pad": [5, 59, 82, 625], "concat": [5, 38, 43, 53, 59, 69, 82, 208, 536, 617, 620, 625, 700, 826, 831, 833, 847], "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, 525, 549, 581, 615, 616, 617, 618, 620, 623, 626, 673, 702, 703, 759, 770, 775, 787, 798, 801, 804, 805, 807, 808, 809, 810, 812, 813, 814, 817, 818, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 835, 836, 838, 839, 841, 847, 848, 849, 860], "request": [6, 7, 8, 21, 22, 23, 24, 26, 27, 40, 43, 52, 199, 375, 499, 617, 798, 799, 803, 815, 819, 829, 831, 845, 848], "get_model": 6, "list_model": 6, "mmengin": 6, "configdict": 6, "saniti": [6, 8, 9, 26, 825], "checkpoint": [6, 7, 43, 839], "correct": [6, 11, 13, 22, 32, 38, 40, 42, 65, 88, 181, 369, 436, 616, 625, 633, 685, 750, 752, 759, 762, 798, 801, 803, 805, 806, 811, 812, 813, 814, 817, 818, 820, 821, 824, 826, 828, 848], "against": [6, 49, 52, 53, 57, 62, 72, 74, 75, 76, 80, 85, 148, 267, 286, 328, 331, 334, 344, 365, 380, 515, 516, 517, 518, 519, 556, 616, 618, 620, 623, 630, 663, 664, 666, 669, 730, 828, 833, 839, 843, 854], "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, 567, 587, 601, 602, 607, 617, 620, 621, 622, 623, 626, 633, 645, 663, 701, 702, 703, 750, 752, 770, 781, 782, 804, 811, 813, 814, 817, 821, 822, 824, 825, 826, 827, 828, 831, 839, 847, 854, 855, 860], "appropri": [6, 17, 21, 22, 24, 26, 27, 53, 62, 67, 85, 90, 218, 235, 242, 268, 328, 344, 365, 618, 630, 730, 798, 803, 804, 805, 817, 822, 828], "get_scal": 6, "cfg": [6, 819], "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, 441, 442, 443, 444, 445, 446, 447, 456, 457, 478, 480, 482, 488, 490, 491, 492, 494, 496, 502, 509, 510, 511, 512, 521, 522, 524, 525, 527, 528, 529, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 563, 564, 578, 579, 581, 583, 585, 586, 599, 605, 610, 620, 622, 626, 627, 636, 637, 638, 639, 645, 646, 648, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 701, 702, 707, 713, 717, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 747, 749, 750, 752, 753, 754, 762, 763, 769, 775, 778, 782, 798, 810, 811, 812, 821, 824, 825, 826, 828, 836, 848, 854, 857, 861], "input_shap": [6, 13, 24, 26, 27, 798], "block": [6, 26, 27, 30, 31, 32, 33, 369, 427, 798, 805, 811, 813, 817, 821, 828, 832, 834, 838, 839, 841, 848, 859, 861], "url": [6, 8, 23, 26, 27, 40, 43, 798, 848], "cocodataset": [6, 8, 23, 26, 27, 43, 798, 848], "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, 480, 509, 601, 602, 615, 616, 618, 621, 623, 625, 633, 671, 672, 700, 750, 798, 816, 848], "val2017": [6, 8, 26, 43], "000000039769": [6, 8, 26, 43], "stream": [6, 8, 23, 26, 27, 40, 43, 50, 73, 209, 617, 798, 848, 858], "_config": 6, "train_pipelin": 6, "tensor_imag": 6, "And": [6, 8, 9, 11, 13, 18, 21, 26, 27, 28, 41, 72, 358, 359, 367, 798, 807, 810, 819, 821, 828, 847], "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, 536, 614, 615, 620, 622, 647, 648, 792, 803, 805, 807, 808, 810, 812, 813, 815, 816, 821, 823, 824, 825, 827, 831, 832, 836, 847, 848, 850, 860], "transpiled_graph": [6, 8, 26], "what": [6, 8, 15, 20, 26, 27, 30, 31, 34, 39, 40, 368, 401, 412, 764, 792, 798, 803, 805, 806, 811, 812, 815, 816, 819, 820, 822, 823, 824, 825, 826, 828, 832, 833, 835, 836, 837, 838, 839, 844, 845, 850, 855, 856, 859], "improv": [6, 8, 9, 26, 29, 805, 813, 820, 821, 831, 833, 841, 845, 847, 852, 854, 856, 857], "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, 431, 433, 452, 472, 475, 615, 618, 623, 625, 631, 633, 671, 673, 677, 685, 696, 735, 736, 737, 738, 746, 748, 749, 751, 763, 775, 803, 804, 805, 806, 808, 809, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 822, 824, 825, 826, 827, 828, 829, 831, 833, 835, 836, 837, 838, 839, 840, 843, 844, 845, 847, 851, 852, 855, 860, 861], "compil": [6, 7, 8, 9, 21, 22, 24, 26, 27, 30, 43, 45, 286, 618, 770, 798, 804, 825, 829, 833, 839, 841, 848, 850, 853, 854, 855, 858, 861], "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, 434, 465, 471, 473, 476, 510, 511, 515, 516, 517, 518, 519, 618, 623, 625, 633, 664, 692, 693, 744, 759, 764, 787, 788, 798, 800, 803, 804, 805, 809, 810, 812, 813, 818, 822, 824, 825, 826, 833, 845, 847, 848, 854, 855], "_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, 456, 480, 485, 615, 618, 623, 666, 669, 672, 680, 787, 824, 825, 831, 836, 838, 840, 848], "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, 433, 615, 623, 633, 666, 745, 770, 778, 798, 801, 804, 805, 807, 809, 812, 813, 814, 815, 816, 818, 821, 822, 824, 825, 826, 828, 833, 835, 836, 839, 844, 845, 848, 854, 855, 860], "np_imag": [6, 23, 26, 27], "jax_imag": 6, "hk": [6, 8, 26, 40, 44, 798, 838, 848], "rng_kei": [6, 8, 26, 798, 848], "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, 425, 434, 440, 445, 495, 496, 497, 498, 499, 622, 645, 724, 725, 726, 727, 728, 729, 762, 764, 777, 791, 792, 798, 803, 814, 826, 828, 829, 838, 848, 849, 854], "prngkei": [6, 8, 19, 20, 26, 27, 40, 798, 838, 848], "42": [6, 8, 9, 19, 20, 24, 26, 27, 38, 40, 41, 46, 61, 68, 77, 84, 113, 229, 368, 389, 399, 601, 605, 612, 618, 621, 623, 628, 629, 633, 664, 668, 723, 724, 725, 726, 727, 728, 743, 745, 798, 833, 838, 848], "jax_mlp_forward": 6, "param": [6, 8, 9, 26, 40, 41, 42, 44, 69, 75, 76, 98, 522, 539, 540, 620, 784, 798, 838, 848], "init": [6, 8, 26, 40, 42, 52, 75, 369, 425, 434, 440, 798, 807, 838, 848], "rng": [6, 8, 26, 40, 798, 838, 848], "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, 413, 414, 415, 416, 417, 418, 420, 421, 422, 423, 424, 425, 427, 429, 430, 431, 432, 433, 434, 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, 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, 496, 497, 498, 499, 500, 501, 502, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 524, 525, 527, 528, 531, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 553, 555, 556, 558, 563, 564, 578, 579, 580, 581, 583, 585, 586, 599, 601, 602, 605, 607, 608, 609, 610, 612, 616, 618, 620, 621, 622, 623, 624, 625, 626, 627, 628, 631, 633, 635, 636, 637, 638, 639, 640, 641, 642, 644, 645, 646, 647, 648, 651, 652, 653, 655, 656, 657, 658, 659, 660, 661, 663, 664, 666, 668, 669, 670, 671, 673, 677, 680, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 710, 713, 716, 717, 723, 724, 725, 726, 727, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 752, 753, 754, 764, 765, 774, 778, 781, 798, 803, 804, 805, 808, 811, 813, 814, 815, 816, 817, 819, 820, 821, 822, 824, 825, 828, 829, 831, 835, 836, 837, 838, 839, 847, 848, 855], "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, 421, 466, 472, 480, 483, 495, 509, 512, 539, 543, 545, 547, 556, 586, 610, 611, 615, 616, 618, 620, 621, 622, 623, 625, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 677, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 757, 778, 798, 801, 803, 805, 809, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 824, 825, 828, 831, 833, 835, 836, 837, 838, 839, 847, 848, 854, 857, 859, 860, 861], "optim": [6, 8, 9, 17, 21, 22, 24, 26, 27, 40, 42, 43, 45, 52, 54, 75, 77, 306, 362, 370, 444, 445, 523, 609, 620, 621, 626, 701, 702, 703, 777, 792, 798, 813, 824, 831, 834, 836, 838, 845, 848, 852, 853, 854, 855, 856, 857, 858, 861], "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, 420, 421, 426, 433, 434, 438, 440, 450, 451, 452, 456, 457, 458, 463, 464, 466, 467, 469, 471, 472, 475, 477, 485, 486, 493, 495, 502, 507, 508, 509, 510, 511, 512, 521, 524, 532, 539, 540, 556, 580, 600, 602, 603, 605, 607, 608, 609, 612, 614, 615, 616, 617, 618, 620, 621, 622, 623, 625, 627, 629, 630, 631, 633, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 648, 652, 653, 654, 657, 658, 659, 663, 665, 666, 667, 669, 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432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 478, 479, 480, 481, 482, 484, 485, 486, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 509, 510, 511, 512, 513, 521, 524, 525, 527, 528, 532, 533, 534, 536, 539, 540, 541, 542, 543, 545, 547, 548, 549, 552, 555, 556, 558, 563, 564, 565, 568, 577, 578, 579, 580, 581, 583, 585, 586, 588, 599, 601, 602, 603, 605, 607, 608, 609, 610, 612, 614, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 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, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 704, 705, 706, 707, 711, 712, 713, 716, 721, 722, 723, 724, 725, 726, 727, 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, 783, 808, 811, 815, 817, 820, 821, 822, 824, 825, 829, 830, 833, 835, 841], "alia": [17, 26, 329, 330, 365, 613, 803, 825, 846, 849], "select": [17, 26, 31, 44, 52, 65, 75, 88, 369, 371, 380, 421, 432, 480, 481, 510, 511, 633, 743, 744, 803, 804, 805, 812, 818, 824, 828, 833, 835, 838, 839, 854, 857, 858], "lastli": [17, 26, 808], "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, 427, 429, 430, 431, 432, 433, 434, 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, 494, 495, 496, 497, 498, 499, 500, 501, 502, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 527, 528, 532, 533, 534, 535, 536, 537, 538, 539, 540, 543, 544, 545, 547, 548, 549, 551, 552, 553, 555, 556, 558, 563, 564, 568, 571, 573, 578, 579, 580, 581, 583, 585, 586, 593, 599, 600, 601, 602, 603, 605, 607, 608, 609, 610, 612, 615, 616, 617, 618, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 641, 643, 644, 645, 646, 647, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 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, 707, 711, 712, 713, 716, 717, 721, 722, 723, 724, 725, 726, 727, 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, 757, 759, 762, 769, 770, 778, 779, 780, 782, 783, 787, 791, 792, 798, 800, 801, 803, 804, 806, 807, 808, 809, 810, 812, 813, 815, 816, 818, 820, 821, 822, 823, 824, 826, 828, 830, 831, 832, 833, 834, 837, 839, 840, 841, 843, 847, 854, 855, 860], "subclass": [17, 26, 27, 822, 825, 831, 848], "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, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 456, 457, 472, 478, 480, 481, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 522, 524, 525, 527, 528, 532, 533, 534, 535, 536, 537, 538, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 559, 563, 564, 578, 579, 581, 583, 585, 586, 599, 610, 614, 616, 617, 620, 627, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 704, 705, 707, 710, 711, 712, 713, 715, 716, 717, 721, 722, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 747, 749, 750, 752, 753, 754, 759, 760, 775, 778, 780, 787, 792, 808, 811, 836, 837, 841, 847, 848, 849], "recurs": [17, 26, 27, 40, 42, 47, 69, 70, 161, 162, 194, 195, 369, 437, 537, 538, 544, 616, 617, 620, 627, 704, 705, 708, 714, 715, 716, 757, 804, 807, 810, 811, 818, 821, 824, 837, 839], "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, 413, 414, 477, 479, 525, 532, 533, 534, 581, 612, 615, 616, 617, 618, 620, 622, 623, 633, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 646, 648, 675, 677, 749, 751, 762, 765, 778, 792, 798, 803, 804, 806, 807, 808, 811, 813, 814, 815, 816, 817, 821, 824, 825, 828, 831, 833, 836, 837, 841, 843, 847, 850, 851, 852, 853, 854, 855, 857, 858, 859, 860, 861], "fashion": [17, 764, 828, 848], "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, 446, 472, 478, 482, 521, 524, 551, 552, 555, 585, 612, 615, 616, 617, 618, 620, 622, 623, 624, 625, 629, 630, 633, 634, 636, 637, 644, 651, 654, 658, 659, 665, 666, 670, 674, 675, 677, 680, 682, 684, 685, 692, 724, 733, 742, 748, 751, 753, 759, 769, 787, 801, 818, 826, 828], "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, 532, 536, 673, 698], "low": [17, 26, 29, 45, 52, 56, 61, 75, 79, 84, 368, 410, 413, 622, 629, 635, 636, 637, 638, 640, 642, 644, 725, 727, 764, 811, 817, 824, 825, 831, 833, 850, 852, 854, 855, 856, 858, 860], "level": [17, 26, 27, 29, 52, 75, 76, 369, 437, 524, 792, 798, 799, 803, 804, 805, 811, 813, 817, 821, 823, 824, 825, 827, 830, 831, 832, 833, 836, 837, 838, 839, 841, 845, 850, 851, 852, 853, 854, 855, 856, 858, 859, 860, 861], "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, 415, 417, 419, 420, 422, 432, 450, 451, 452, 462, 480, 488, 489, 490, 493, 511, 524, 532, 533, 534, 535, 543, 547, 548, 586, 601, 602, 605, 607, 608, 609, 612, 615, 616, 618, 620, 621, 622, 623, 625, 627, 630, 631, 633, 636, 637, 638, 639, 640, 641, 643, 657, 659, 661, 692, 696, 704, 707, 711, 712, 713, 715, 716, 721, 722, 733, 738, 744, 745, 750, 752, 781, 791, 792, 799, 804, 806, 809, 810, 811, 815, 821, 823, 832, 833, 834, 836, 839, 841, 842, 844, 845, 848, 850, 854, 858, 859, 861], "fundament": [17, 26, 812, 825, 831, 833, 843, 854], "common": [17, 20, 26, 30, 51, 52, 69, 74, 174, 245, 253, 333, 339, 365, 616, 618, 799, 801, 803, 804, 810, 813, 814, 815, 821, 822, 825, 829, 831, 839, 843, 851, 854, 861], "signatur": [17, 26, 371, 380, 472, 509, 813, 814, 815, 816, 820, 824, 828, 829, 831, 844, 851, 860], "matmul": [17, 26, 27, 43, 57, 80, 369, 435, 600, 620, 623, 673, 809, 828, 829, 833], "to_n": [17, 26, 27, 38, 47, 70, 833], "jaxlib": [17, 23, 41, 787, 804, 808, 813, 814, 820, 829, 833, 835], "xla_extens": [17, 23, 787, 808, 813, 814, 820, 829, 833, 835], "arrayimpl": [17, 23, 787], "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, 420, 421, 472, 480, 509, 512, 539, 543, 545, 547, 549, 586, 610, 612, 615, 616, 618, 620, 621, 622, 623, 625, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 677, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 725, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 798, 801, 803, 804, 805, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 820, 821, 823, 824, 825, 826, 828, 831, 833, 835, 836, 837, 838, 854, 859], "why": [17, 798, 805, 824, 835, 842, 844], "underli": [17, 26, 27, 38, 52, 59, 75, 82, 95, 225, 228, 230, 265, 370, 371, 445, 462, 618, 623, 625, 671, 692, 811, 824, 831, 847, 854], "disabl": [17, 26, 52, 75, 371, 480, 780, 810], "array_mod": [17, 26, 565, 588, 620, 830], "set_array_mod": [17, 26, 588, 620, 830], "composit": [17, 26, 161, 162, 194, 195, 287, 369, 427, 537, 538, 616, 617, 618, 620, 763, 765, 803, 806, 808, 809, 811, 813, 814, 822, 824, 825, 826, 828, 831, 833, 837, 838, 839, 841, 847, 855], "ultim": [17, 26, 847], "sigmoid": [17, 26, 27, 38, 46, 52, 68, 75, 295, 360, 375, 495, 612, 774, 833, 836, 837], "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, 441, 443, 444, 445, 446, 447, 453, 457, 468, 508, 509, 512, 519, 524, 536, 539, 540, 547, 548, 564, 577, 578, 579, 587, 600, 615, 617, 618, 620, 623, 624, 625, 627, 629, 630, 631, 633, 653, 663, 668, 669, 673, 680, 682, 683, 684, 685, 707, 711, 713, 721, 725, 726, 727, 730, 735, 745, 746, 748, 749, 750, 777, 798, 809, 811, 814, 815, 833, 835, 847], "divid": [17, 22, 26, 27, 43, 51, 52, 53, 59, 69, 74, 75, 82, 97, 98, 242, 374, 442, 488, 489, 490, 493, 578, 618, 620, 625, 694, 808, 811, 815, 819, 828], "exp": [17, 26, 27, 51, 52, 74, 75, 111, 113, 240, 260, 273, 295, 360, 368, 370, 395, 400, 445, 612, 618, 623, 671, 823, 825], "high": [17, 26, 27, 45, 52, 56, 61, 75, 79, 84, 368, 410, 413, 572, 620, 622, 629, 635, 636, 637, 638, 640, 642, 644, 725, 727, 764, 803, 817, 823, 825, 836, 841, 845, 850, 851, 852, 853, 854, 858, 860, 861], "network": [17, 24, 26, 27, 38, 40, 45, 622, 646, 774, 777, 778, 798, 811, 821, 833, 837, 844, 848, 850, 852, 853, 854, 858, 860, 861], "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, 472, 512, 545, 617, 618, 633, 634, 746, 747, 748, 749, 750, 751, 752, 753, 754, 778, 792, 803, 804, 805, 807, 808, 811, 813, 815, 817, 824, 825, 826, 828, 831, 833, 836, 837, 838, 839, 844, 845, 848, 854, 860, 861], "further": [17, 69, 98, 764, 805, 807, 808, 812, 815, 817, 820, 821, 824, 825, 827, 828, 832, 833, 836, 837, 844, 845, 859, 860], "congratul": [17, 23], "There": [17, 24, 27, 32, 92, 361, 363, 364, 372, 373, 377, 764, 798, 803, 804, 805, 807, 808, 810, 811, 813, 814, 815, 817, 819, 821, 823, 825, 826, 830, 833, 836, 839, 843, 847, 855, 856, 860, 861], "come": [17, 40, 803, 804, 805, 808, 812, 825, 830, 831, 837, 841, 854], "independ": [17, 27, 52, 61, 75, 84, 218, 235, 268, 278, 374, 375, 493, 495, 618, 623, 629, 653, 672, 724, 798, 807, 813, 815, 822, 833, 838, 848, 852], "good": [17, 26, 27, 798, 802, 803, 804, 805, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 826, 828, 829, 831, 833, 834, 837], "foundat": [17, 844, 857], "power": [17, 26, 27, 51, 52, 53, 57, 74, 75, 76, 80, 97, 98, 229, 238, 239, 273, 327, 339, 362, 365, 368, 414, 569, 579, 591, 618, 620, 623, 627, 665, 678, 710, 777, 830, 835, 836, 837, 854, 856, 860], "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, 419, 472, 478, 512, 547, 548, 568, 612, 615, 618, 620, 623, 633, 653, 658, 659, 672, 746, 747, 748, 750, 798, 803, 804, 808, 809, 812, 813, 816, 820, 823, 825, 826, 828, 829, 835, 837, 839, 841, 849, 851, 852, 853, 854, 855, 858, 860, 861], "div": [18, 19, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 849], "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, 421, 458, 467, 486, 515, 516, 544, 620, 623, 625, 626, 656, 677, 694, 701, 702, 703, 803, 805, 806, 811, 817, 825, 826, 828, 835, 836, 837, 849, 850], "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, 444, 445, 480, 502, 509, 512, 567, 618, 620, 623, 624, 625, 633, 634, 653, 679, 682, 691, 743, 746, 747, 748, 749, 750, 751, 752, 753, 754, 804, 809, 813, 815, 817, 821, 823, 824, 825, 833, 837, 838, 847], "uniform": [18, 19, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 40, 52, 61, 75, 84, 380, 512, 629, 724, 725, 727, 777, 798, 827, 837, 848, 849, 861], "x_": [18, 28, 93, 279, 618, 849], "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, 616, 618, 623, 625, 630, 633, 634, 653, 666, 669, 672, 675, 679, 680, 692, 731, 746, 747, 748, 749, 750, 751, 752, 753, 754, 798, 804, 809, 820, 825, 826, 829, 833, 839, 844], "sever": [18, 19, 28, 29, 31, 32, 33, 52, 75, 92, 368, 369, 382, 383, 384, 433, 762, 804, 805, 829, 839, 852, 858], "pro": [18, 19, 20, 28, 29, 30, 31, 32, 33], "pick": [19, 29, 777], "off": [19, 29, 56, 57, 79, 80, 391, 392, 393, 622, 623, 645, 656, 677, 777, 778, 804, 818, 832, 845, 847, 860], "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, 423, 444, 462, 472, 474, 480, 502, 510, 511, 615, 617, 622, 623, 624, 625, 630, 632, 633, 634, 647, 648, 653, 656, 668, 677, 679, 683, 684, 686, 689, 692, 693, 694, 696, 730, 731, 739, 741, 742, 743, 744, 753, 754, 778, 787, 798, 805, 807, 809, 810, 813, 815, 824, 826, 828, 831, 833, 839, 845, 848, 854], "purpos": [19, 26, 27, 29, 40, 42, 142, 240, 258, 322, 362, 615, 618, 623, 671, 805, 806, 808, 811, 812, 814, 815, 817, 820, 821, 822, 825, 827, 828, 831, 832, 835, 841, 853, 855, 858, 859, 860], "illustr": [19, 29, 809, 833], "trigger": [19, 29, 780, 803, 819], "unif": [19, 21, 22, 29, 31, 799, 835, 844, 850, 860], "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, 417, 457, 535, 612, 615, 618, 631, 656, 663, 669, 673, 696, 735, 736, 737, 738, 774, 798, 803, 805, 807, 809, 810, 811, 812, 819, 820, 821, 822, 825, 826, 827, 828, 829, 830, 833, 835, 836, 837, 856, 860], "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, 442, 450, 451, 452, 603, 615, 616, 621, 820, 821, 823, 824, 825, 828, 837, 839, 847, 849, 855, 860], "constitu": [19, 29, 69, 838], "due": [19, 26, 27, 29, 43, 45, 268, 278, 371, 480, 618, 804, 807, 812, 817, 824, 825, 844, 847, 848, 854], "manner": [19, 27, 29, 39, 47, 70, 627, 716, 804, 813, 814, 816, 821, 825, 829, 836, 839, 843, 850, 852, 860, 861], "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, 421, 425, 429, 451, 452, 512, 515, 615, 616, 618, 623, 627, 629, 630, 633, 634, 653, 654, 664, 666, 673, 675, 679, 680, 717, 726, 730, 731, 732, 733, 746, 747, 748, 749, 750, 752, 753, 754, 762, 777, 779, 780, 782, 808, 811, 815, 833, 847, 848, 849, 854], "5556394": 19, "655387": 19, "1415051": 19, "4695197": 19, "3022028": 19, "1473966": 19, "5701794": 19, "91962665": 19, "51028997": 19, "5964439": 19, "assess": [19, 29, 803, 831], "985": 19, "000": [19, 74, 269, 762, 801, 812, 818], "69": [19, 38, 45, 51, 77, 84, 216, 258, 368, 389, 399, 605, 618, 621, 623, 664, 665, 726, 828, 836], "slower": [19, 825], "On": [19, 26, 27, 804, 813, 814, 819, 825, 828, 831, 834, 838], "hand": [19, 51, 369, 435, 762, 798, 807, 813, 814, 819, 821, 828, 839], "singl": [19, 29, 38, 43, 51, 61, 69, 74, 84, 93, 287, 344, 365, 369, 375, 432, 496, 586, 599, 603, 618, 620, 621, 622, 629, 631, 648, 725, 726, 727, 735, 762, 778, 803, 804, 805, 807, 812, 815, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 836, 837, 838, 839, 845], "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, 418, 419, 420, 432, 442, 446, 451, 472, 478, 482, 509, 519, 524, 614, 615, 616, 618, 620, 623, 625, 631, 652, 654, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 677, 679, 697, 735, 736, 737, 738, 762, 764, 770, 778, 803, 804, 807, 808, 813, 814, 815, 816, 821, 825, 826, 828, 831, 832, 836, 838, 845, 851, 859], "workflow": [20, 30, 41, 803, 805, 809, 813, 823, 825, 836, 841, 845, 853, 860, 861], "ivy_norm": 20, "jax_norm": [20, 26, 27], "wider": [20, 30, 572, 594, 620, 813, 830, 860], "avoid": [20, 30, 32, 52, 59, 75, 235, 240, 242, 258, 268, 370, 371, 374, 442, 450, 451, 452, 458, 460, 462, 463, 464, 467, 471, 478, 486, 488, 489, 490, 526, 542, 544, 567, 572, 594, 618, 620, 625, 688, 689, 690, 692, 694, 695, 697, 699, 764, 765, 804, 805, 809, 810, 811, 812, 813, 817, 822, 825, 828, 829, 830, 831, 854], "conveni": [20, 30, 803, 813, 814, 820, 826, 834, 836, 837, 841, 860], "act": [20, 30, 52, 75, 356, 366, 805, 815, 830, 839, 861], "shorthand": [20, 30, 32, 828], "pair": [20, 30, 40, 52, 56, 75, 79, 223, 242, 314, 355, 362, 365, 368, 401, 410, 412, 413, 618, 622, 623, 635, 636, 637, 638, 640, 642, 644, 651, 653, 792], "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, 811], "requir": [21, 22, 23, 24, 31, 40, 41, 42, 45, 51, 52, 69, 74, 75, 269, 282, 286, 369, 371, 420, 421, 472, 618, 623, 625, 657, 658, 659, 696, 762, 770, 775, 792, 800, 803, 804, 808, 810, 812, 813, 814, 815, 816, 817, 819, 820, 822, 825, 826, 827, 828, 829, 831, 833, 835, 839, 848, 854, 860], "satisfi": [21, 22, 23, 24, 40, 42, 45, 52, 368, 369, 390, 421, 813, 815], "opt": [21, 22, 23, 24, 44, 804, 809, 813, 824, 828, 831], "fw": [21, 22, 23, 24, 56, 79, 380, 509, 622, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 759, 804, 828], "mxnet": [21, 22, 23, 24, 787, 803, 804, 844, 861], "26": [21, 22, 23, 24, 38, 40, 42, 45, 51, 52, 60, 61, 75, 76, 77, 84, 230, 235, 281, 368, 369, 389, 424, 432, 547, 601, 618, 620, 621, 622, 623, 627, 628, 633, 644, 656, 668, 675, 705, 723, 725, 726, 745], "einop": [21, 22, 23, 24, 40, 42, 45, 53, 76, 532, 533, 534, 620, 813, 844], "miniconda": [21, 22, 23, 24], "env": [21, 22, 23, 24], "multienv": [21, 22, 23, 24], "site": [21, 22, 23, 24, 855], "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, 858, 859], "535": [21, 22, 23, 24, 46, 68, 113, 612, 817], "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, 532, 533, 605, 620, 621, 623, 633, 668, 745], "wheel": [21, 22, 23, 24, 40, 42, 45, 843], "six": [21, 22, 23, 24, 40, 45, 804, 831], "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, 622, 648], "jedi": [21, 22, 23, 24], "inlin": [21, 22, 23, 24, 810], "prompt": [21, 22, 23, 24, 803, 805], "toolkit": [21, 22, 23, 24, 854, 855, 861], "pygment": [21, 22, 23, 24], "traitlet": [21, 22, 23, 24], "exceptiongroup": [21, 22, 23, 24], "paddl": [21, 22, 23, 24, 329, 330, 365, 775, 787, 803, 804, 813, 818], "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, 798, 816, 820, 825, 831, 835, 838, 839, 854, 860, 861], "eagerli": [21, 22, 26, 27, 31, 32, 33, 40, 798, 847, 848, 849], "lazili": [21, 22, 23, 26, 27, 31, 33, 44, 798, 847, 848, 849], "actual": [21, 31, 801, 805, 806, 812, 818, 821, 822, 824, 825, 826, 828, 831, 832, 837, 839, 855, 860], "occur": [21, 26, 27, 31, 44, 49, 51, 63, 72, 74, 86, 150, 269, 285, 616, 618, 630, 631, 730, 731, 735, 736, 737, 738, 807, 812, 814, 817, 830], "becaus": [21, 29, 31, 41, 52, 368, 390, 757, 804, 805, 807, 808, 809, 810, 811, 813, 814, 816, 817, 818, 820, 821, 822, 823, 824, 825, 826, 828, 831, 833, 837, 838, 839, 854, 857, 860], "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, 414, 421, 472, 480, 509, 512, 516, 522, 523, 525, 526, 531, 533, 534, 539, 543, 545, 547, 549, 559, 563, 564, 581, 586, 587, 600, 610, 615, 616, 618, 620, 621, 622, 623, 625, 626, 627, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 703, 710, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 757, 759, 762, 763, 770, 775, 778, 779, 780, 787, 791, 794, 798, 803, 806, 807, 808, 809, 810, 811, 815, 816, 819, 821, 826, 828, 829, 831, 833, 835, 836, 841, 843, 847, 848, 849, 854], "altern": [21, 31, 41, 52, 75, 80, 92, 93, 328, 336, 337, 341, 343, 344, 345, 346, 348, 349, 350, 354, 355, 365, 798, 803, 804, 810, 824, 836, 857], "dummi": [21, 22, 31, 32, 33, 39, 805], "seed": [21, 22, 42, 43, 52, 56, 61, 63, 69, 75, 79, 84, 317, 318, 319, 320, 321, 362, 369, 375, 425, 434, 440, 495, 496, 497, 498, 499, 622, 629, 631, 645, 724, 725, 726, 727, 729, 735, 770, 775, 777, 792, 822, 826, 828], "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, 421, 433, 435, 472, 480, 509, 512, 539, 543, 545, 547, 556, 586, 610, 615, 616, 618, 620, 621, 622, 623, 624, 625, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 681, 682, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 778, 791, 798, 804, 807, 809, 812, 813, 816, 826, 828, 831, 835, 836, 839], "201733": 21, "core": [21, 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636, 637, 638, 639, 640, 641, 642, 643, 644, 778], "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, 414, 421, 432, 435, 442, 446, 457, 460, 478, 482, 483, 488, 489, 490, 491, 495, 496, 497, 498, 499, 507, 516, 519, 524, 526, 535, 544, 547, 548, 578, 579, 580, 583, 611, 614, 615, 616, 617, 618, 620, 621, 622, 623, 625, 627, 629, 633, 634, 645, 648, 656, 658, 661, 662, 667, 668, 672, 673, 685, 688, 690, 694, 696, 704, 707, 709, 711, 712, 713, 714, 715, 719, 720, 721, 722, 724, 725, 726, 727, 729, 735, 745, 753, 754, 757, 759, 760, 762, 763, 764, 765, 770, 777, 792, 796, 798, 802, 803, 804, 806, 811, 813, 814, 817, 820, 821, 825, 826, 828, 833, 836, 839, 840, 841, 842, 843, 844, 845, 847, 848, 849, 854, 855], "regressor": [26, 27, 798], "input_dim": [26, 27, 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798, 806, 829, 836, 837, 839, 854], "grad": [26, 27, 38, 42, 601, 621, 782, 798, 823, 836, 837, 838], "execute_with_gradi": [26, 27, 38, 42, 621, 798, 836, 837, 838, 839], "lambda": [26, 27, 43, 45, 75, 118, 120, 292, 301, 531, 603, 604, 606, 611, 614, 620, 621, 623, 627, 658, 711, 712, 716, 798, 803, 821, 822, 823, 826, 831, 833, 836], "2d": [26, 27, 42, 52, 75, 92, 307, 362, 368, 369, 371, 380, 383, 384, 391, 392, 431, 438, 451, 461, 509, 778, 798, 825, 831], "5f": [26, 27, 798], "nonetheless": [26, 27], "slight": [26, 27, 813, 828, 837], "introduc": [26, 27, 242, 618, 625, 631, 693, 735, 803, 811, 812, 813, 822, 826, 828, 831, 836, 843], "address": [26, 27, 52, 53, 75, 371, 480, 585, 620, 803, 805, 807, 808, 820, 827, 833, 845, 850, 852, 854, 860], "extract": [26, 27, 34, 41, 52, 75, 93, 371, 455, 481, 825, 827, 829, 850, 854, 855, 860], "gc": [26, 27, 544, 620], "decompos": [26, 27, 52, 75, 92, 95, 317, 318, 319, 320, 321, 341, 348, 362, 365, 369, 429, 434, 437, 440, 825, 838], 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480, 509, 615, 616, 618, 623, 625, 633, 671, 672, 700, 750, 798, 816, 844], "fname": [26, 27, 43, 45, 780, 836], "anticip": [26, 27], "addition": [26, 27, 811, 824, 825, 860], "backend_compil": [26, 27], "normalize_native_comp": [26, 27], "return_backend_compiled_fn": 26, "immedi": [26, 27, 803, 804], "built": [26, 27, 32, 40, 42, 45, 121, 615, 778, 779, 780, 798, 804, 805, 810, 811, 828, 834, 840, 847, 853, 854, 858], "summar": [26, 27, 92, 828], "eager_graph": [26, 27, 798, 847, 848], "lazy_graph": [26, 27, 798, 847, 848], "codebas": [26, 27, 206, 207, 617, 799, 806, 813, 819, 824, 825, 827, 828, 829, 832, 845], "thought": [26, 27, 804, 805, 820, 844, 852], "research": [26, 27, 40, 798, 843, 848, 854, 861], "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, 439, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 456, 457, 478, 480, 481, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 524, 525, 527, 528, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 563, 564, 578, 579, 581, 583, 585, 586, 587, 599, 605, 610, 618, 620, 627, 633, 634, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 717, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 787, 798, 800, 805, 807, 809, 810, 812, 815, 821, 823, 825, 833, 835, 844, 847, 848, 853, 854, 856], "No": [26, 27, 40, 52, 58, 75, 81, 370, 442, 443, 444, 446, 447, 624, 682, 805, 812, 813, 854], "matter": [26, 27, 32, 815, 843], "job": [26, 27, 798, 810, 812, 848], "haven": [26, 27, 32, 840, 854], "jax_out": [26, 27], "ideal": [26, 27, 812, 813, 825, 831, 836], "But": [26, 27, 764, 811, 812, 816, 819, 822, 831, 838], "bring": [26, 27, 807, 827, 828, 833, 834, 841, 844], "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, 419, 426, 459, 466, 468, 469, 487, 612, 618, 625, 653, 685, 782, 831], "vision": [26, 27, 45, 850, 860], "worth": [26, 27], "differenti": [26, 27, 290, 358, 359, 360, 367, 854], "chosen": [26, 27, 45, 95, 121, 223, 615, 618, 630, 734, 803, 812, 825], "plai": [26, 27, 370, 444, 798, 804, 808, 814, 818, 825, 828, 838, 854, 857], "role": [26, 27, 798, 805, 814, 825, 834, 855, 857, 861], "dl": [26, 27], "cnn": [26, 27, 854], "effortlessli": [26, 27], "previous": [26, 27, 589, 620, 787, 804, 809, 821, 823, 828, 833], "pre": [26, 27, 798, 801, 803, 827, 828, 838, 839, 840, 854], "default_devic": [26, 27, 201, 204, 205, 206, 212, 213, 617, 814, 817, 818], "as_n": [26, 27, 49, 50, 69, 72, 73, 153, 154, 155, 156, 157, 158, 164, 191, 192, 204, 616, 617, 813], "certainli": [26, 27, 798, 844, 860], "upon": [26, 27, 44, 805, 815, 824, 828, 831, 839, 853, 854], "unnecessari": [26, 27, 825], "extend": [26, 27, 52, 75, 371, 380, 472, 512, 809, 810, 813, 816, 817, 820, 825, 829, 839, 851, 854, 860], "infrastructur": [26, 27, 798, 850, 856, 857], "least": [26, 51, 52, 57, 74, 75, 235, 253, 268, 368, 371, 380, 395, 400, 450, 451, 452, 461, 463, 509, 618, 623, 630, 663, 733, 798, 805, 808, 812, 813, 814, 815, 821, 824, 828, 848], "coco": 26, "seamlessli": [27, 828], "benefit": [27, 798, 804, 808, 811, 824, 831, 835, 836, 839, 844, 845, 852, 856, 859], "through": [27, 32, 40, 52, 75, 95, 223, 380, 515, 516, 618, 627, 707, 713, 780, 791, 798, 799, 801, 802, 803, 805, 806, 809, 810, 811, 812, 814, 815, 817, 818, 819, 821, 822, 824, 825, 826, 828, 830, 831, 832, 833, 836, 837, 838, 847, 852, 854, 855, 856], "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, 421, 465, 472, 473, 475, 480, 484, 509, 512, 516, 525, 533, 534, 539, 543, 545, 547, 549, 563, 581, 586, 610, 615, 616, 618, 620, 621, 622, 623, 625, 628, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 644, 645, 646, 648, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 679, 680, 681, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 723, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742, 746, 747, 748, 749, 750, 751, 752, 753, 754, 803, 805, 807, 808, 811, 812, 813, 814, 815, 816, 817, 820, 821, 822, 824, 825, 826, 828, 829, 831, 833, 835, 837, 839, 843, 851, 854, 860], "wide": [27, 798, 805, 828, 852, 854], "prepar": [27, 40, 42, 45, 798, 812], "plenti": 27, "resourc": [27, 799, 803, 804, 812], "visit": [27, 803, 804, 805, 812], "page": [27, 798, 803, 804, 805, 810, 812, 818, 834, 835, 838, 840, 849], "newli": [28, 29, 41, 43, 49, 72, 147, 526, 616, 620, 805, 812, 824, 828], "randon": [28, 29, 31, 32, 33], "mean_": 28, "std_": 28, "detect": [28, 32, 51, 69, 74, 250, 618, 627, 704, 715, 803, 804, 809, 811, 812, 819, 828, 836, 837], "inspect": [28, 32, 522, 620], "__": [28, 29, 30, 31, 32, 33, 69, 815, 836], "exhibit": [29, 860], "via": [29, 32, 242, 369, 371, 434, 437, 440, 480, 618, 627, 714, 715, 805, 807, 811, 813, 814, 824, 829, 831, 833, 835, 836, 854], "script": [29, 798, 804, 805, 807, 812, 815, 833, 839, 854], "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, 441, 442, 443, 444, 445, 446, 447, 456, 457, 478, 480, 482, 488, 490, 491, 492, 494, 496, 509, 510, 511, 512, 521, 524, 525, 527, 528, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 563, 564, 578, 579, 581, 583, 585, 586, 599, 605, 610, 626, 627, 636, 637, 638, 639, 645, 646, 651, 652, 653, 658, 659, 660, 661, 663, 664, 666, 668, 670, 671, 677, 682, 683, 684, 685, 689, 692, 693, 694, 695, 696, 699, 700, 701, 702, 706, 717, 724, 725, 726, 727, 729, 732, 735, 736, 737, 738, 739, 743, 744, 747, 749, 750, 752, 753, 754, 783, 808, 811, 823, 825, 837, 838, 839, 854], "un": [29, 165, 616, 813, 833], "partial_comp": 29, "time_funct": 29, "slowest": [29, 52, 59, 75, 82, 371, 462, 625, 692], "express": [29, 51, 52, 74, 75, 93, 216, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 618, 784, 792, 816, 825, 833, 838, 854, 855], "fastest": [29, 52, 59, 75, 82, 369, 371, 432, 462, 625, 692], "maxim": [29, 821, 824, 833, 851, 852, 856, 857, 858], "conclud": [30, 829], "collect": [30, 40, 42, 44, 45, 47, 69, 70, 612, 617, 620, 621, 622, 624, 627, 628, 629, 717, 774, 778, 779, 780, 781, 782, 804, 812, 817, 818, 822, 823, 826, 828, 852, 854, 857], "norm_comp": [31, 32], "global": [31, 32, 42, 53, 69, 76, 98, 153, 154, 155, 156, 157, 206, 207, 208, 569, 570, 573, 578, 579, 591, 592, 595, 616, 617, 620, 770, 781, 787, 804, 808, 809, 812, 813, 814, 817, 821, 825, 833, 854], "approach": [31, 801, 803, 804, 805, 808, 811, 813, 814, 818, 821, 825, 828, 829, 831, 835, 836, 839, 851, 858, 860], "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, 413, 416, 419, 421, 423, 427, 432, 435, 440, 441, 443, 444, 445, 446, 450, 451, 452, 453, 456, 457, 458, 459, 462, 463, 464, 466, 467, 468, 469, 471, 472, 478, 480, 481, 482, 483, 486, 487, 492, 494, 496, 497, 499, 500, 502, 509, 510, 511, 512, 514, 516, 519, 521, 524, 525, 527, 528, 531, 532, 533, 534, 535, 536, 539, 540, 543, 545, 547, 548, 549, 551, 552, 555, 556, 563, 564, 578, 579, 581, 585, 586, 599, 601, 602, 603, 605, 607, 608, 609, 610, 612, 615, 616, 618, 620, 621, 622, 623, 624, 625, 627, 628, 629, 630, 631, 632, 633, 634, 636, 637, 638, 639, 640, 641, 643, 644, 645, 646, 647, 651, 652, 653, 654, 656, 658, 659, 660, 661, 663, 664, 665, 666, 667, 668, 670, 671, 672, 673, 674, 675, 677, 678, 679, 680, 682, 683, 684, 685, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 704, 707, 710, 711, 712, 713, 715, 716, 721, 722, 723, 725, 726, 727, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 791, 792, 798, 799, 801, 805, 806, 807, 809, 811, 812, 815, 818, 821, 823, 826, 832, 833, 834, 836, 837, 838, 842, 845, 847, 850], "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, 414, 415, 417, 418, 419, 421, 423, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 450, 451, 452, 455, 456, 457, 458, 460, 462, 463, 464, 465, 466, 467, 469, 470, 471, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 502, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 524, 525, 527, 528, 530, 532, 533, 534, 535, 536, 539, 540, 542, 543, 544, 545, 547, 548, 549, 551, 552, 555, 560, 563, 564, 568, 578, 579, 581, 583, 585, 586, 587, 599, 601, 602, 605, 607, 608, 609, 610, 612, 615, 616, 617, 618, 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, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 674, 675, 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, 710, 711, 715, 716, 721, 723, 724, 725, 726, 727, 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, 757, 759, 763, 770, 774, 775, 777, 778, 780, 782, 783, 791, 796, 803, 804, 805, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 824, 825, 826, 828, 829, 831, 833, 838, 839, 847, 848, 849, 854, 860], "prioriti": [32, 69, 787, 803, 805, 814, 824], "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, 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811, 821, 823, 829, 836, 837, 839, 841, 854], "unchang": [47, 51, 368, 371, 412, 462, 622, 645], "deriv": [47, 48, 52, 54, 70, 71, 75, 77, 126, 131, 138, 144, 307, 311, 336, 362, 365, 601, 602, 605, 606, 607, 608, 609, 615, 621, 626, 627, 703, 705, 716, 780, 782, 783, 813, 814, 835, 837], "word": [47, 121, 371, 465, 615, 629, 727, 775, 778, 811, 824, 825, 841], "args_to_n": [47, 824], "cont_inplac": 47, "decid": [47, 69, 627, 715, 716, 798, 803, 804, 813, 831], "args_to_new_backend": 47, "shallow": [47, 627, 711, 712, 716, 721, 722], "nativevari": 47, "mutabl": [47, 627, 705, 711, 712, 716, 721, 722, 809], "to_ivi": [47, 70, 627, 717, 824], "leaf": [47, 69, 76, 88, 98, 535, 627, 714, 715, 717, 744, 811, 821, 836], "travers": [47, 70, 627, 708, 716, 811, 813, 817, 833], "lowest": [47, 52, 61, 70, 75, 84, 380, 512, 627, 629, 716, 725, 792, 821, 839, 841, 851, 855, 859], "search": [47, 52, 70, 75, 730, 731, 770, 802, 804, 811, 815, 818, 828, 829, 843], "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, 425, 434, 440, 450, 451, 452, 458, 460, 462, 463, 464, 467, 471, 478, 480, 486, 521, 524, 535, 542, 545, 546, 550, 551, 552, 553, 554, 555, 556, 565, 568, 571, 572, 574, 575, 599, 614, 615, 616, 617, 618, 620, 622, 625, 626, 627, 630, 633, 648, 688, 689, 690, 692, 694, 695, 697, 699, 701, 702, 714, 732, 733, 734, 746, 748, 762, 763, 764, 765, 770, 781, 811, 813, 821, 825, 828, 831], "alwai": [48, 49, 52, 53, 59, 71, 72, 75, 82, 105, 123, 147, 218, 268, 339, 365, 369, 371, 436, 450, 451, 452, 458, 460, 462, 463, 464, 467, 471, 478, 486, 542, 549, 612, 616, 618, 620, 625, 688, 689, 690, 692, 694, 695, 697, 699, 764, 798, 803, 804, 805, 808, 809, 811, 813, 816, 819, 820, 821, 824, 825, 826, 827, 828, 829, 831, 833, 839, 847], "never": [48, 52, 59, 71, 75, 82, 123, 371, 450, 451, 452, 458, 460, 462, 463, 464, 467, 471, 478, 486, 542, 620, 625, 688, 689, 690, 692, 694, 695, 697, 699, 805, 813, 824, 825, 828], "valueerror": [48, 52, 59, 71, 75, 82, 86, 123, 368, 370, 401, 412, 445, 450, 451, 458, 460, 462, 463, 464, 471, 486, 625, 688, 689, 690, 692, 694, 695, 697, 699, 738, 764, 793, 817], "buffer": [48, 71, 75, 82, 123, 129, 450, 451, 458, 460, 462, 463, 464, 471, 486, 615, 688, 689, 690, 692, 694, 695, 697, 699, 779, 780, 824, 839], "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, 495, 496, 497, 498, 499, 509, 510, 511, 512, 515, 518, 615, 616, 622, 623, 629, 630, 632, 633, 645, 680, 725, 726, 727, 730, 731, 741, 743, 744, 749, 751, 777, 813, 814, 820, 829, 833], "datatyp": [48, 52, 69, 71, 75, 123, 131, 135, 152, 173, 177, 368, 414, 615, 616, 757, 829, 847], "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, 495, 496, 498, 499, 615, 617, 629, 724, 725, 726, 727, 777, 782, 783, 813, 814, 817, 820, 829], "39999998": [48, 122, 123, 615, 631, 736], "5999999": [48, 52, 75, 79, 122, 123, 292, 360, 369, 416, 615, 622, 645, 651], "0999999": [48, 65, 122, 123, 292, 301, 304, 346, 360, 365, 615, 747], "10000038": [48, 122, 123, 615], "90786433e": [48, 122, 123, 615], "310": [48, 122, 123, 615], "copy_arrai": [48, 71, 615], "to_ivy_arrai": [48, 71, 124, 615], "empty_lik": [48, 52, 71, 75, 259, 369, 419, 615, 618], "uniniti": [48, 125, 126, 615, 819], "from_dlpack": [48, 71, 615], "full_lik": [48, 71, 615, 829], "fill_valu": [48, 52, 62, 71, 75, 85, 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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, 423, 438, 449, 488, 490, 544, 601, 602, 603, 604, 605, 606, 607, 608, 609, 611, 615, 618, 620, 621, 622, 623, 626, 635, 642, 643, 648, 653, 670, 673, 701, 702, 703, 759, 762, 777, 792, 802, 803, 804, 805, 808, 809, 811, 812, 813, 814, 815, 820, 821, 823, 824, 825, 828, 829, 830, 850, 860], "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, 425, 426, 434, 437, 440, 472, 480, 519, 615, 623, 625, 630, 634, 653, 655, 664, 666, 670, 672, 677, 679, 680, 687, 688, 696, 699, 700, 733, 753, 754], "ni": [48, 134, 615], "xi": [48, 134, 615], "scatter": [48, 53, 71, 76, 136, 563, 564, 615, 620, 810, 824, 831, 861], "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, 415, 420, 422, 431, 437, 519, 524, 614, 615, 618, 620, 623, 633, 657, 677, 745, 792, 805, 806, 810, 847, 850], "unless": [48, 52, 57, 71, 75, 136, 268, 328, 344, 349, 365, 615, 618, 623, 666, 809, 814, 824, 839, 848, 849], "ones_lik": [48, 71, 615, 809, 838], "tril": [48, 71, 615], "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, 420, 439, 471, 480, 485, 526, 581, 615, 618, 620, 623, 625, 631, 633, 652, 654, 656, 657, 658, 659, 660, 661, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 677, 680, 689, 693, 735, 736, 737, 744, 745, 764, 816, 828], "innermost": [48, 52, 57, 80, 140, 141, 323, 362, 369, 420, 615, 623, 652, 654, 656, 657, 658, 659, 661, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 677], "mxn": [48, 52, 57, 80, 140, 141, 323, 362, 615, 623, 656, 664, 666, 667, 669, 670, 674, 677], "matric": [48, 52, 57, 75, 80, 92, 93, 97, 134, 140, 141, 323, 362, 369, 371, 420, 425, 426, 428, 432, 433, 438, 461, 615, 622, 623, 646, 652, 654, 656, 657, 658, 659, 660, 661, 664, 665, 666, 667, 669, 670, 671, 672, 673, 674, 677, 678, 764, 801, 818, 854], "diagon": [48, 52, 57, 75, 80, 93, 127, 140, 141, 142, 307, 322, 323, 362, 369, 371, 418, 421, 429, 435, 461, 615, 623, 655, 677], "triangular": [48, 52, 57, 80, 140, 141, 142, 322, 323, 362, 369, 435, 615, 623, 652, 658, 659, 666, 670], "alloc": [48, 49, 52, 72, 140, 141, 147, 323, 362, 615, 616, 803, 805, 839], "triu": [48, 71, 615], "upper": [48, 52, 57, 61, 75, 80, 84, 127, 141, 142, 307, 323, 362, 369, 380, 435, 512, 615, 623, 629, 652, 658, 659, 670, 727, 813, 824, 828], "zeros_lik": [48, 52, 71, 147, 264, 371, 480, 601, 602, 605, 607, 608, 609, 615, 616, 618, 621, 623, 625, 670, 685, 825, 831], "data_typ": [49, 52, 72, 75, 177, 616, 810, 813, 828, 829], "_arraywithdatatyp": [49, 97], "irrespect": [49, 57, 72, 80, 147, 616, 623, 673, 811, 824, 835, 861], "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, 509, 572, 594, 616, 618, 620, 623, 625, 633, 652, 653, 660, 661, 663, 664, 665, 666, 668, 669, 671, 672, 679, 680, 686, 696, 739, 747, 750, 762, 763, 807, 816, 817, 821, 830], "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, 480, 507, 508, 515, 516, 517, 518, 545, 599, 613, 616, 618, 620, 631, 633, 634, 735, 736, 737, 738, 746, 747, 748, 750, 751, 752, 753, 754, 762, 765, 807, 813, 816, 823, 829, 830], "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, 545, 613, 616, 618, 620, 623, 633, 634, 671, 680, 746, 748, 753, 754, 807, 816], "desir": [49, 50, 52, 62, 69, 72, 73, 75, 85, 92, 147, 149, 150, 209, 313, 353, 362, 365, 371, 380, 470, 515, 518, 519, 616, 617, 623, 630, 675, 732, 777, 778, 805, 809, 812, 813, 814, 825, 833, 843, 847, 854], "broadcast_arrai": [49, 72, 616], "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, 446, 516, 535, 537, 538, 539, 540, 549, 583, 586, 616, 617, 618, 620, 622, 623, 624, 625, 628, 633, 636, 638, 641, 643, 644, 646, 651, 652, 675, 682, 684, 685, 723, 745, 747, 750, 763, 765, 803, 806, 813, 814, 815, 824, 831, 833, 841, 854, 858, 860], "broadcast_to": [49, 72, 616, 813], "can_cast": [49, 72, 616, 813, 821, 825], "accord": [49, 52, 53, 59, 65, 72, 82, 88, 150, 160, 218, 229, 235, 242, 268, 279, 313, 362, 368, 371, 412, 472, 539, 542, 563, 564, 616, 618, 620, 623, 625, 633, 679, 687, 700, 750, 752, 757, 764, 784, 791, 803, 804, 807, 813, 819, 821, 825, 828], "finfo": [49, 72, 616, 828], "resolut": [49, 72, 160, 616, 805], "4028235e": [49, 160, 616], "iinfo": [49, 72, 616], "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, 458, 467, 472, 480, 486, 495, 496, 497, 498, 499, 501, 502, 507, 509, 510, 511, 516, 519, 542, 558, 568, 600, 615, 616, 618, 620, 622, 623, 625, 629, 632, 633, 634, 635, 636, 637, 638, 640, 642, 644, 653, 655, 665, 679, 680, 694, 724, 725, 726, 727, 728, 729, 741, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 763, 764, 765, 770, 778, 792, 805, 811, 813, 823, 826, 828, 833, 835], "119": [49, 163], "1220": [49, 163], "int16": [49, 52, 61, 65, 72, 84, 150, 154, 156, 161, 163, 170, 185, 380, 510, 511, 616, 633, 725, 743, 744, 749, 751, 762, 763, 813, 825, 828, 833], "32768": [49, 72, 163, 579, 620], "32767": [49, 72, 163], "is_bool_dtyp": [49, 72, 616], "is_float_dtyp": [49, 72, 616, 829], "is_int_dtyp": [49, 72, 616, 826, 829], "is_uint_dtyp": [49, 72, 616, 826, 829], "result_typ": [49, 72, 616, 813], "arrays_and_dtyp": [49, 72, 175, 616], "_arraywithdevic": [50, 97], "move": [50, 52, 73, 75, 142, 205, 209, 213, 322, 362, 371, 471, 615, 617, 780, 798, 805, 814, 829], "addit": [50, 52, 53, 60, 73, 75, 76, 83, 118, 120, 209, 218, 278, 374, 380, 493, 508, 513, 532, 533, 534, 600, 614, 617, 618, 620, 622, 626, 628, 648, 703, 723, 778, 792, 803, 804, 805, 809, 813, 815, 816, 819, 821, 823, 824, 825, 828, 829, 831, 835, 836, 838, 847, 854, 855, 856, 860], "__dlpack__": [50, 73, 128, 209, 615, 617], "caveat": [50, 73, 209, 370, 444, 617], "portabl": [50, 73, 209, 617, 798, 852], "_arraywithelementwis": [51, 97], "ab": [51, 57, 67, 74, 90, 97, 98, 273, 328, 344, 365, 371, 479, 618, 623, 627, 664, 674, 680, 712, 715, 759, 791, 792, 801, 808, 813, 818, 822, 825, 828], "absolut": [51, 52, 57, 67, 69, 74, 75, 80, 97, 215, 279, 328, 344, 347, 353, 365, 369, 370, 421, 436, 441, 443, 618, 623, 664, 665, 666, 671, 757, 759, 762, 764, 765, 799, 804], "aco": [51, 74, 618], "invers": [51, 52, 57, 74, 75, 80, 216, 217, 220, 221, 222, 223, 224, 368, 378, 390, 399, 401, 411, 501, 618, 623, 661, 665, 669, 784, 813], "cosin": [51, 74, 216, 217, 232, 233, 306, 309, 362, 368, 389, 399, 618, 778], "acosh": [51, 74, 161, 162, 616, 618, 801, 818], "area": [51, 52, 74, 75, 79, 217, 221, 224, 368, 403, 410, 413, 618, 824, 831, 844, 850], "hyperbol": [51, 74, 217, 221, 224, 233, 281, 285, 286, 298, 302, 360, 618], "sector": [51, 74, 217, 221, 224, 618, 844], "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, 419, 420, 421, 423, 427, 446, 478, 485, 496, 498, 502, 509, 512, 524, 573, 595, 601, 602, 607, 614, 615, 616, 618, 620, 621, 623, 625, 626, 627, 631, 653, 656, 657, 658, 660, 663, 668, 670, 671, 673, 675, 677, 679, 696, 697, 702, 705, 735, 736, 737, 782, 804, 807, 810, 813, 815, 819, 824, 825, 828, 830, 835, 845, 859], "multipli": [51, 52, 56, 65, 74, 75, 79, 92, 218, 284, 345, 368, 369, 403, 431, 432, 510, 511, 618, 622, 633, 645, 743, 749, 805, 808, 809, 811, 815], "angl": [51, 74, 223, 233, 281, 286, 343, 365, 618], "deg": [51, 74, 219, 618], "radian": [51, 52, 74, 75, 216, 219, 220, 222, 223, 232, 234, 274, 280, 285, 352, 365, 618, 816], "degre": [51, 52, 65, 74, 75, 88, 219, 234, 274, 316, 362, 371, 478, 618, 633, 750, 752, 853], "1j": [51, 74, 75, 219, 220, 232, 233, 238, 240, 252, 275, 280, 281, 285, 332, 578, 618, 620], "2j": [51, 52, 74, 75, 219, 248, 332, 368, 395, 400, 579, 618, 620], "3j": [51, 52, 74, 75, 219, 252, 275, 332, 365, 618], "35619449": [51, 219, 618], "78539816": [51, 219, 618], "135": [51, 219, 527, 618, 620], "asin": [51, 74, 618], "sine": [51, 74, 220, 221, 280, 281, 618], "927": [51, 74, 220], "asinh": [51, 74, 220, 618], "atan": [51, 74, 618], "tangent": [51, 74, 222, 223, 224, 285, 286, 298, 302, 358, 360, 367, 618, 816], "785": [51, 74, 222, 223, 618], "atan2": [51, 74, 618], "quotient": [51, 74, 223, 235, 242, 618], "245": [51, 79, 223, 622, 645, 646], "588": [51, 223, 618], "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, 417, 512, 545, 599, 613, 618, 620, 622, 623, 649, 664, 680, 762, 765, 801, 813, 818, 823], "719": [51, 223, 618], "197": [51, 223, 618], "atanh": [51, 74, 618], "549": [51, 74, 79, 224, 618, 622, 646], "bitwise_and": [51, 74, 618], "bitwise_invert": [51, 74, 618], "bitiwse_invert": [51, 226], "bitwise_left_shift": [51, 74, 618], "bitwise_or": [51, 74, 618], "bitwise_right_shift": [51, 74, 97, 618], "bitwise_xor": [51, 74, 97, 618], "ceil": [51, 52, 74, 75, 92, 95, 121, 368, 386, 387, 388, 404, 405, 406, 409, 615, 618, 778, 824], "round": [51, 52, 74, 75, 92, 94, 95, 96, 218, 231, 235, 241, 242, 268, 282, 288, 289, 338, 365, 618, 801, 803, 804, 805, 807, 808, 809, 811, 812, 813, 814, 815, 816, 817, 819, 820, 821, 822, 823, 824, 825, 826, 828, 829, 831, 833, 834, 835, 836, 837, 838, 843, 844, 845], "416": [51, 232, 618], "540": [51, 232], "990": [51, 232], "cosh": [51, 74, 232, 618], "deg2rad": [51, 74, 618], "convers": [51, 52, 75, 234, 274, 565, 575, 620, 779, 780, 803, 832, 834, 838, 839, 841, 845, 853, 860], "180": [51, 74, 234, 274, 618], "270": [51, 74, 234, 274, 618], "360": [51, 74, 234, 274, 618, 812], "dividend": [51, 74, 235, 242, 277, 289, 618], "divisor": [51, 52, 54, 65, 74, 75, 77, 88, 235, 242, 245, 246, 277, 289, 368, 371, 386, 387, 388, 458, 467, 486, 601, 602, 607, 618, 621, 633, 750, 752, 778, 782], "375": [51, 236, 271], "erf": [51, 74, 337, 365, 618], "exponenti": [51, 52, 74, 75, 237, 238, 240, 260, 273, 290, 299, 360, 369, 430, 618], "gauss": [51, 74, 237, 618], "328": [51, 237, 285, 618], "677": [51, 237], "842": [51, 237, 285, 618], "71828198": [51, 74, 238], "38905573": [51, 74, 238], "08553696": [51, 74, 238, 618], "exp2": [51, 74, 618], "expm1": [51, 74, 618, 813], "244": [51, 240, 798], "918": [51, 240], "147": [51, 240, 618], "floor": [51, 52, 74, 75, 92, 95, 229, 242, 368, 386, 387, 388, 390, 404, 405, 406, 409, 618, 778, 824], "floor_divid": [51, 74, 618, 770, 813], "fmin": [51, 74, 618, 813], "gcd": [51, 74, 618, 813], "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, 615, 618, 622, 623, 625, 629, 651, 653, 665, 695, 727, 764, 778, 805, 826], "greater_equ": [51, 74, 97, 98, 260, 618], "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, 421, 612, 615, 618, 630, 733, 815], "4j": [51, 74, 248, 368, 411, 579, 618, 620], "6j": [51, 52, 74, 248, 252, 332, 618], "isfinit": [51, 74, 618, 825], "out_i": [51, 74, 249, 250, 251, 252, 275, 618], "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, 618], "isinf": [51, 74, 618], "detect_posit": [51, 74, 250, 618], "detect_neg": [51, 74, 250, 618], "isnan": [51, 74, 618], "isreal": [51, 74, 618], "5j": [51, 74, 75, 252, 275, 332, 365, 618], "lcm": [51, 74, 618, 813], "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, 434, 440, 509, 512, 618, 623, 629, 633, 664, 665, 666, 669, 680, 727, 750, 752, 778, 804, 805, 811, 813, 815, 817, 820, 825, 828, 831, 832, 833, 844, 854, 856], "less_equ": [51, 74, 97, 98, 618, 817], "log10": [51, 52, 74, 313, 362, 618], "logarithm": [51, 74, 238, 256, 257, 258, 259, 260, 336, 347, 365, 618, 623, 671], "602": [51, 257, 618], "699": [51, 257, 618], "log1p": [51, 74, 618, 823], "693": [51, 74, 112, 221, 258, 612, 618, 624, 684], "0953": [51, 74, 256, 258, 618], "log2": [51, 74, 261, 618], "logaddexp": [51, 74, 618], "logaddexp2": [51, 74, 618, 801, 818], "169925": [51, 74, 261, 618], "logical_and": [51, 74, 618, 825, 831, 861], "logical_not": [51, 74, 618, 813], "logical_or": [51, 74, 618, 861], "conform": [51, 57, 74, 121, 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[[214, "used-mem-on-dev"]], "num_gpus": [[200, "num-gpus"]], "as_ivy_dev": [[188, "as-ivy-dev"]], "unset_default_device": [[212, "unset-default-device"]], "print_all_ivy_arrays_on_dev": [[203, "print-all-ivy-arrays-on-dev"]], "num_cpu_cores": [[199, "num-cpu-cores"]], "Wrapping": [[67, "module-ivy.data_classes.array.wrapping"], [90, "module-ivy.data_classes.container.wrapping"]], "Conversions": [[70, "module-ivy.data_classes.container.conversions"], [47, "module-ivy.data_classes.array.conversions"]], "Image": [[55, "module-ivy.data_classes.array.image"], [78, "module-ivy.data_classes.container.image"]], "Examples and Demos": [[2, "examples-and-demos"], [15, "examples-and-demos"]], "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"]], "How to use decorators": [[22, "How-to-use-decorators"]], "Unify": [[22, "Unify"], [32, "Unify"], [31, "Unify"], [21, "Unify"], [33, "Unify"]], "Trace": [[22, "Trace"], [21, "Trace"]], "Transpile": [[22, "Transpile"], [32, "Transpile"], [31, "Transpile"], [21, "Transpile"], [33, "Transpile"]], "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"]], "Accelerating MMPreTrain models with JAX": [[6, "Accelerating-MMPreTrain-models-with-JAX"]], "2.0: Kornia": [[35, "2.0:-Kornia"]], "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"]], "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"]], "Resnet 18": [[45, "Resnet-18"]], "Demos": [[0, "demos"]], "Creating a Notebook for Demo": [[0, "creating-a-notebook-for-demo"]], "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"]], "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"]], "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"]], "Image Segmentation with Ivy UNet": [[5, "Image-Segmentation-with-Ivy-UNet"]], "Imports": [[5, "Imports"], [9, "Imports"], [7, "Imports"]], "Data Preparation": [[5, "Data-Preparation"], [3, "Data-Preparation"], [7, "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"]], "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"]], "1.1: Framework Selection": [[32, "1.1:-Framework-Selection"]], "Compile": [[32, "Compile"], [31, "Compile"], [33, "Compile"]], "TO REPLACE: Title": [[1, "TO-REPLACE:-Title"]], "Tutorials And Examples": [[15, "tutorials-and-examples"]], "Learn the basics": [[15, "learn-the-basics"], [16, "learn-the-basics"]], "Guides": [[15, "guides"], [10, "guides"]], "1.0: Lazy vs Eager": [[31, "1.0:-Lazy-vs-Eager"]], "Unify code": [[18, "Unify-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."]], "Transpile any library": [[23, "Transpile-any-library"]], "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"]], "0.0: Unify": [[28, "0.0:-Unify"]], "Trace code": [[19, "Trace-code"]], "Write a model using Ivy": [[25, "Write-a-model-using-Ivy"]], "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 AlexNet demo": [[3, "Ivy-AlexNet-demo"]], "Installation": [[3, "Installation"], [7, "Installation"]], "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)"]], "Accelerating PyTorch models with JAX": [[8, "Accelerating-PyTorch-models-with-JAX"]], "Lazy vs Eager": [[21, "Lazy-vs-Eager"]], "0.2: Transpile": [[30, "0.2:-Transpile"]], "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"]], "0.1: Compile": [[29, "0.1:-Compile"]], "Transpile any model": [[24, "Transpile-any-model"]], "Round up": [[24, "Round-up"]], "Transpiling a Tensorflow model to build on top": [[13, "Transpiling-a-Tensorflow-model-to-build-on-top"]], "1.2: As a Decorator": [[33, "1.2:-As-a-Decorator"]], "3.1: Stable Diffusion": [[37, "3.1:-Stable-Diffusion"]], "3.0: Perceiver": [[36, "3.0:-Perceiver"]], "Using Ivy ResNet": [[7, "Using-Ivy-ResNet"]], "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"]], "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"]], "Developing a convolutional network using Ivy": [[14, "Developing-a-convolutional-network-using-Ivy"]], "Transpile code": [[20, "Transpile-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"]]}, "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, 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