pytorch - 💡(How to fix) Fix DISABLED test_torchvision_models_efficientnet_b5 (__main__.TestVisionTracing) [1 comments, 1 participants]

Traceback (most recent call last): File "/var/lib/jenkins/workspace/test/test_fx.py", line 5451, in run_test script = torch.jit.script(graph) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 1498, in script ret = _script_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 1196, in _script_impl return torch.jit._recursive.create_script_module( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_script.py", line 673, in _construct init_fn(script_module) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 610, in init_fn scripted = create_script_module_impl( File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 638, in create_script_module_impl create_methods_and_properties_from_stubs( File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 473, in create_methods_and_properties_from_stubs concrete_type._create_methods_and_properties( File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/site-packages/torch/jit/_recursive.py", line 473, in create_methods_and_properties_from_stubs concrete_type._create_methods_and_properties( RuntimeError: builtin cannot be used as a value: File "/opt/conda/envs/py_3.10/lib/python3.10/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_3.10/lib/python3.10/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: PYTORCH_TEST_WITH_ASAN=1 PYTORCH_TEST_WITH_UBSAN=1 PYTORCH_TEST_WITH_SLOW=1 PYTORCH_TEST_SKIP_FAST=1 python test/test_fx.py TestVisionTracing.test_torchvision_models_efficientnet_b5

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

TL;DR

The test test_torchvision_models_efficientnet_b5 is failing due to a RuntimeError caused by a builtin being used as a value in the Conv2d module, and a potential fix involves investigating the usage of F.conv2d and F.pad in the Conv2d._conv_forward method.

Guidance

• Investigate the Conv2d._conv_forward method to understand why builtin is being used as a value.
• Check the usage of F.conv2d and F.pad in the Conv2d._conv_forward method to ensure they are being used correctly.
• Run the test with the provided command PYTORCH_TEST_WITH_ASAN=1 PYTORCH_TEST_WITH_UBSAN=1 PYTORCH_TEST_WITH_SLOW=1 PYTORCH_TEST_SKIP_FAST=1 python test/test_fx.py TestVisionTracing.test_torchvision_models_efficientnet_b5 to reproduce the error and gather more information.
• Review the PyTorch documentation for Conv2d and F.conv2d to ensure that the usage is correct and up-to-date.

Example

No code example is provided as the issue is related to a specific test case and requires further investigation.

Notes

The error message indicates that the issue is related to the Conv2d module, but the root cause is not immediately clear. Further investigation is required to determine the exact cause of the error.

Recommendation

Apply workaround: Investigate and fix the usage of F.conv2d and F.pad in the Conv2d._conv_forward method to resolve the RuntimeError.