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pytorch - 💡(How to fix) Fix DISABLED test_torchvision_models_shufflenet_v2_x1_5 (__main__.TestVisionTracing)

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Error Message

Traceback (most recent call last): File "/__w/pytorch/pytorch/test/test_fx.py", line 5462, 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 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: PYTORCH_TEST_WITH_CROSSREF=1 python test/test_fx.py TestVisionTracing.test_torchvision_models_shufflenet_v2_x1_5

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Root Cause

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Code Example

Traceback (most recent call last):
  File "/__w/pytorch/pytorch/test/test_fx.py", line 5462, 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 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:
    PYTORCH_TEST_WITH_CROSSREF=1 python test/test_fx.py TestVisionTracing.test_torchvision_models_shufflenet_v2_x1_5

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
RAW_BUFFERClick to expand / collapse

Platforms: linux

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 6 hours, it has been determined flaky in 3 workflow(s) with 3 failures and 3 successes.

Debugging instructions (after clicking on the recent samples link): DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs. To find relevant log snippets:

  1. Click on the workflow logs linked above
  2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
  3. Grep for test_torchvision_models_shufflenet_v2_x1_5
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.
<details><summary>Sample error message</summary> 
Traceback (most recent call last):
  File "/__w/pytorch/pytorch/test/test_fx.py", line 5462, 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 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:
    PYTORCH_TEST_WITH_CROSSREF=1 python test/test_fx.py TestVisionTracing.test_torchvision_models_shufflenet_v2_x1_5

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
</details>

Test file path: test_fx.py

For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.

cc @ezyang @EikanWang @jgong5 @wenzhe-nrv

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pytorch - 💡(How to fix) Fix DISABLED test_torchvision_models_shufflenet_v2_x1_5 (__main__.TestVisionTracing)