Revert "Unbreak dynamic shape minimal arrayref interface tests (pytorch#142091)"

This reverts commit 2bfc600.

Reverted pytorch#142091 on behalf of https://github.com/atalman due to Breaks internal changes ([comment](pytorch#142091 (comment)))

Author: pytorchmergebot

test/inductor/test_aot_inductor_arrayref.py

@@ -63,6 +63,8 @@ def fail_minimal_arrayref_interface(is_skip=False):
     "test_add_complex": fail_minimal_arrayref_interface(is_skip=True),
     "test_conv_freezing": fail_minimal_arrayref_interface(is_skip=True),
     "test_deconv_freezing": fail_minimal_arrayref_interface(is_skip=True),
+    "test_addmm_multiple_dynamic": fail_minimal_arrayref_interface(),
+    "test_bmm_multiple_dynamic": fail_minimal_arrayref_interface(),
     "test_cond_nested": fail_minimal_arrayref_interface(),
     "test_cond_simple": fail_minimal_arrayref_interface(),
     "test_cond_symint_input": fail_minimal_arrayref_interface(),
@@ -72,7 +74,9 @@ def fail_minimal_arrayref_interface(is_skip=False):
     "test_cond_with_parameters": fail_minimal_arrayref_interface(),
     "test_cond_with_reinterpret_view_inputs_outputs": fail_minimal_arrayref_interface(),
     "test_cond_share_predicte": fail_stack_allocation(is_skip=True),
+    "test_foreach_multiple_dynamic": fail_minimal_arrayref_interface(),
     "test_nested_tensor_from_jagged": fail_minimal_arrayref_interface(),
+    "test_poi_multiple_dynamic": fail_minimal_arrayref_interface(),
     "test_while_loop_with_parameters": fail_minimal_arrayref_interface(),
     "test_while_loop_with_pytree_inputs": fail_stack_allocation(),
     # FIXME: failed with Segfault while exiting the Python runtime
@@ -84,6 +88,8 @@ def fail_minimal_arrayref_interface(is_skip=False):
     "test_dup_unbacked_sym_decl_with_refinement": fail_minimal_arrayref_interface(
         is_skip=True
     ),
+    # TODO:  error: cannot convert ArrayRefTensor<float> to AtenTensorHandle
+    "test_dynamic_cat": fail_minimal_arrayref_interface(),
     # https://github.com/pytorch/pytorch/issues/129550
     # https://github.com/pytorch/pytorch/issues/123691
     "test_dynamic_scalar": fail_minimal_arrayref_interface(is_skip=True),
@@ -98,6 +104,9 @@ def fail_minimal_arrayref_interface(is_skip=False):
     "test_multi_device": fail_minimal_arrayref_interface(is_skip=True),
     # TODO: AssertionError: unsupported Optional type in convert_arg_type: Generator
     "test_normal_functional": fail_stack_allocation(is_skip=True),
+    # TODO: The same issue as https://github.com/pytorch/pytorch/issues/122978
+    # error: cannot convert ArrayRefTensor<float> to AtenTensorHandle
+    "test_reuse_kernel_dynamic": fail_minimal_arrayref_interface(is_skip=True),
     # the test segfaults
     "test_repeat_output": fail_stack_allocation(is_skip=True),
     # TODO: failed internally
@@ -128,6 +137,7 @@ def fail_minimal_arrayref_interface(is_skip=False):
     "test_shifted_constraint_ranges": fail_stack_allocation(is_skip=True),
     # https://github.com/pytorch/pytorch/issues/123691
     "test_amp_fallback_random": fail_minimal_arrayref_interface(is_skip=True),
+    "test_simple_dynamic": fail_minimal_arrayref_interface(),
     # https://github.com/pytorch/pytorch/issues/123691
     "test_zero_grid_with_unbacked_symbols": fail_minimal_arrayref_interface(
         is_skip=True
@@ -151,6 +161,7 @@ def fail_minimal_arrayref_interface(is_skip=False):
     # TODO: use of undeclared identifier 'float8_e4m3fn' and 'half'
     "test_fp8": fail_minimal_arrayref_interface(is_skip=True),
     "test_size_from_multi_output": fail_stack_allocation(is_skip=True),
+    "test_masked_select_dynamic": fail_stack_allocation(is_skip=True),
     "test_torchvision_transforms_functional_tensor_resize": fail_minimal_arrayref_interface(),
     # TODO: AttributeError: 'ShapeAsConstantBuffer' object has no attribute 'dtype'
     "test_symint_item": fail_minimal_arrayref_interface(is_skip=True),

torch/_inductor/codegen/cpp_wrapper_cpu.py

@@ -538,10 +538,10 @@ def codegen_tensor_dtype_var_decl(self, code: IndentedBuffer, name):
         )
 
     def codegen_input_size_var_decl(self, code: IndentedBuffer, name):
-        code.writeline(f"auto {name}_size = {name}.sizes();")
+        code.writeline(f"int64_t* {name}_size = {name}.sizes();")
 
     def codegen_input_stride_var_decl(self, code: IndentedBuffer, name):
-        code.writeline(f"auto {name}_stride = {name}.strides();")
+        code.writeline(f"int64_t* {name}_stride = {name}.strides();")
 
     def codegen_model_kernels(self):
         self.prefix.writeline("namespace {")