pytorch - 💡(How to fix) Fix DISABLED test_torchvision_models_efficientnet_b0 (__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 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_efficientnet_b0

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

TL;DR

The test test_torchvision_models_efficientnet_b0 is failing due to a RuntimeError caused by the torch.jit.script function, and a potential workaround is to modify the test to avoid using torch.jit.script or to update the PyTorch version.

Guidance

• Investigate the torch.jit.script function call in the test_fx.py file to see if there's a way to modify it to avoid the error.
• Check the PyTorch version being used and consider updating to a newer version, as this issue may have been fixed in a later release.
• Review the debugging instructions provided in the issue to gather more information about the error and potential causes.
• Run the test using the command python test/test_fx.py TestVisionTracing.test_torchvision_models_efficientnet_b0 to reproduce the error and gather more information.

Example

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

Notes

The error message indicates that the builtin function cannot be used as a value, which suggests a potential issue with the PyTorch version or the way the torch.jit.script function is being used. More information is needed to provide a definitive solution.

Recommendation

Apply a workaround by modifying the test to avoid using torch.jit.script or update the PyTorch version to a newer release, as this may fix the issue.