pytorch - 💡(How to fix) Fix DISABLED test_torchvision_models_convnext_base (__main__.TestVisionTracing) [1 comments, 1 participants]

Traceback (most recent call last): File "/opt/conda/envs/py_3.14/lib/python3.14t/unittest/case.py", line 58, in testPartExecutor yield File "/opt/conda/envs/py_3.14/lib/python3.14t/unittest/case.py", line 669, in run self._callTestMethod(testMethod) ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/unittest/case.py", line 615, in _callTestMethod result = method() File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/testing/_internal/common_utils.py", line 3532, in wrapper method(*args, **kwargs) ~~~~~~^^^^^^^^^^^^^^^^^ File "/__w/pytorch/pytorch/test/test_fx.py", line 5451, in run_test script = torch.jit.script(graph) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 1498, in script ret = _script_impl( obj=obj, ...<3 lines>... example_inputs=example_inputs, ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 1196, in _script_impl return torch.jit._recursive.create_script_module( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ obj, torch.jit._recursive.infer_methods_to_compile ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 566, in create_script_module return create_script_module_impl(nn_module, concrete_type, stubs_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 634, in create_script_module_impl script_module = torch.jit.RecursiveScriptModule._construct(cpp_module, init_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) ~~~~~~~^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( orig_value, sub_concrete_type, stubs_fn ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 634, in create_script_module_impl script_module = torch.jit.RecursiveScriptModule._construct(cpp_module, init_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) ~~~~~~~^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( orig_value, sub_concrete_type, stubs_fn ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 634, in create_script_module_impl script_module = torch.jit.RecursiveScriptModule._construct(cpp_module, init_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) ~~~~~~~^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( orig_value, sub_concrete_type, stubs_fn ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 634, in create_script_module_impl script_module = torch.jit.RecursiveScriptModule._construct(cpp_module, init_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) ~~~~~~~^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( orig_value, sub_concrete_type, stubs_fn ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 634, in create_script_module_impl script_module = torch.jit.RecursiveScriptModule._construct(cpp_module, init_fn) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) ~~~~~~~^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( orig_value, sub_concrete_type, stubs_fn ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 638, in create_script_module_impl create_methods_and_properties_from_stubs( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ concrete_type, method_stubs, property_stubs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 473, in create_methods_and_properties_from_stubs concrete_type._create_methods_and_properties( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ property_defs, property_rcbs, method_defs, method_rcbs, method_defaults ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 1037, in compile_unbound_method create_methods_and_properties_from_stubs(concrete_type, (stub,), ()) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/jit/_recursive.py", line 473, in create_methods_and_properties_from_stubs concrete_type._create_methods_and_properties( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ property_defs, property_rcbs, method_defs, method_rcbs, method_defaults ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ RuntimeError: builtin cannot be used as a value: File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/nn/modules/conv.py", line 550 return F.conv2d( F.pad( input, self._reversed_padding_repeated_twice, mode=self.padding_mode ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE ), weight, 'Conv2d._conv_forward' is being compiled since it was called from 'Conv2d.forward' File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/nn/modules/conv.py", line 565 def forward(self, input: Tensor) -> Tensor: return self._conv_forward(input, self.weight, self.bias) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE

To execute this test, run the following from the base repo dir: python test/test_fx.py TestVisionTracing.test_torchvision_models_convnext_base

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

TL;DR

The most likely fix for the failing test test_torchvision_models_convnext_base is to update the PyTorch version or modify the test to handle the RuntimeError caused by the builtin function being used as a value.

Guidance

• Investigate the Conv2d._conv_forward method to determine why it's being compiled and causing the error.
• Check the PyTorch version being used and consider updating to a newer version that may have fixed this issue.
• Modify the test to handle the RuntimeError exception and provide more informative error messages.
• Review the torch/nn/modules/conv.py file to understand how the builtin function is being used and why it's causing the error.

Example

No code example is provided as the issue is related to a specific PyTorch version and test case.

Notes

The error message indicates that the builtin function is being used as a value, which is not allowed. This issue may be specific to the PyTorch version being used, and updating to a newer version may resolve the issue.

Recommendation

Apply a workaround by modifying the test to handle the RuntimeError exception, as updating the PyTorch version may not be feasible in all cases. This will allow the test to continue running and provide more informative error messages.