Traceback (most recent call last): File "/__w/pytorch/pytorch/test/functorch/test_eager_transforms.py", line 3643, in test_make_fx_vmap fx_f = make_fx(f)(inp) File "/__w/pytorch/pytorch/test/functorch/test_eager_transforms.py", line 3643, in torch_dynamo_resume_in_test_make_fx_vmap_at_3643 fx_f = make_fx(f)(inp) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 2432, in call result = self._torchdynamo_orig_backend( frame, cache_entry, self.hooks, frame_state, skip=1 ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 2150, in call result = self._inner_convert( frame, cache_entry, hooks, frame_state, skip=skip + 1 ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 735, in call result = _compile( frame.f_code, ...<16 lines>... convert_frame_box=self._box, ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1919, in _compile guarded_code, tracer_output = compile_inner(code, one_graph, hooks) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_utils_internal.py", line 96, in wrapper_function return function(*args, **kwargs) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1535, in compile_inner result = _compile_inner(code, one_graph, hooks) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1594, in _compile_inner dynamo_output = compile_frame( code, ...<11 lines>... package=package, ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1442, in compile_frame bytecode, tracer_output = transform_code_object(code, transform) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/bytecode_transformation.py", line 1626, in transform_code_object tracer_output = transformations(instructions, code_options) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 1414, in transform tracer_output = trace_frame( code, ...<14 lines>... package=package, ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 342, in _fn return fn(*args, **kwargs) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 875, in trace_frame run_tracer() ~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/convert_frame.py", line 856, in run_tracer tracer.run() ~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1813, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1480, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1017, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4171, in CALL self._call(inst) ~~~~~~~~~~^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4162, in _call self.call_function(fn, args, kwargs) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1381, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/lazy.py", line 294, in realize_and_forward return getattr(self.realize(), name)(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 815, in call_function return super().call_function(tx, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 494, in call_function return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1408, in inline_user_function_return return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5242, in inline_call return tracer.inline_call() ~~~~~~~~~~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5463, in inline_call self.run() ~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1813, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1480, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1017, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 2851, in CALL_FUNCTION_EX self.call_function(fn, argsvars.items, kwargsvars) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1381, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/lazy.py", line 294, in realize_and_forward return getattr(self.realize(), name)(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/higher_order_ops.py", line 3265, in call_function return super().call_function(tx, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 815, in call_function return super().call_function(tx, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 494, in call_function return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1408, in inline_user_function_return return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5242, in inline_call return tracer.inline_call() ~~~~~~~~~~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5463, in inline_call self.run() ~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1813, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1480, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1017, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 2851, in CALL_FUNCTION_EX self.call_function(fn, argsvars.items, kwargsvars) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1381, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/lazy.py", line 294, in realize_and_forward return getattr(self.realize(), name)(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 815, in call_function return super().call_function(tx, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 494, in call_function return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1408, in inline_user_function_return return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5242, in inline_call return tracer.inline_call() ~~~~~~~~~~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5463, in inline_call self.run() ~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1813, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1480, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1017, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 2851, in CALL_FUNCTION_EX self.call_function(fn, argsvars.items, kwargsvars) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1381, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/lazy.py", line 294, in realize_and_forward return getattr(self.realize(), name)(*args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 815, in call_function return super().call_function(tx, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/functions.py", line 494, in call_function return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) # type: ignore[attr-defined] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1408, in inline_user_function_return return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5242, in inline_call return tracer.inline_call() ~~~~~~~~~~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/dynamo/symbolic_convert.py", line 5463, in inline_call self.run() ~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1813, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1480, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1017, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4171, in CALL self._call(inst) ~~~~~~~~~~^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 4162, in _call self.call_function(fn, args, kwargs) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/symbolic_convert.py", line 1381, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/lazy.py", line 294, in realize_and_forward return getattr(self.realize(), name)(args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/torch.py", line 2699, in call_function tensor_variable = wrap_fx_proxy( tx=tx, ...<4 lines>... ), ) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3078, in wrap_fx_proxy return wrap_fx_proxy_cls(target_cls=TensorVariable, **kwargs) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3153, in wrap_fx_proxy_cls out: VTTypeAlias = _wrap_fx_proxy( ~~~~~~~~~~~~~~^ target_cls, tx, proxy, example_value, subclass_type, **options ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/variables/builder.py", line 3277, in _wrap_fx_proxy example_value = get_fake_value(proxy.node, tx, allow_non_graph_fake=True) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3752, in get_fake_value return _get_fake_value_impl(node, tx, allow_non_graph_fake) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3943, in _get_fake_value_impl _wrap_graph_break_with_torch_runtime_err( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ lambda: unimplemented( ^^^^^^^^^^^^^^^^^^^^^^ ...<5 lines>... ) ^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3741, in _wrap_graph_break_with_torch_runtime_err raise exc.with_traceback(e.traceback) from None File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3738, in _wrap_graph_break_with_torch_runtime_err gb_fn() ~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/utils.py", line 3944, in <lambda> lambda: unimplemented( ~~~~~~~~~~~~~^ gb_type="RuntimeError when making fake tensor call", ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<3 lines>... from_exc=cause, ^^^^^^^^^^^^^^^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_dynamo/exc.py", line 653, in unimplemented raise Unsupported( msg, gb_type, skip_frame, real_stack=past_real_stack ) from from_exc torch._dynamo.exc.TorchRuntimeError: RuntimeError when making fake tensor call Explanation: Dynamo failed to run FX node with fake tensors: call_function <built-in method sin of type object at 0x7faafd575b20>((BatchedTensor(lvl=1, bdim=0, value= FakeTensor(..., size=(5, 3)) ),), **{}): got RuntimeError('tls_on_entry.has_value() INTERNAL ASSERT FAILED at "/__w/pytorch/pytorch/aten/src/ATen/core/PythonFallbackKernel.cpp":53, please report a bug to PyTorch. ') Hint: Your code may result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. You can do this by removing the torch.compile call, or by using torch.compiler.set_stance("force_eager").

Developer debug context:

For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb4315.html

from user code: File "/__w/pytorch/pytorch/test/functorch/test_eager_transforms.py", line 3645, in torch_dynamo_resume_in_test_make_fx_vmap_at_3643 self.assertEqual(fx_f(new_inp), f(new_inp)) File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/apis.py", line 220, in wrapped return vmap_impl( File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/vmap.py", line 316, in vmap_impl return _flat_vmap( File "/opt/conda/envs/py_3.14/lib/python3.14/site-packages/torch/_functorch/vmap.py", line 507, in _flat_vmap batched_outputs = func(*batched_inputs, **kwargs) File "/__w/pytorch/pytorch/test/functorch/test_eager_transforms.py", line 3639, in f return torch.sin(x)

Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"

To execute this test, run the following from the base repo dir: PYTORCH_TEST_WITH_DYNAMO=1 python test/functorch/test_eager_transforms.py TestComposabilityCPU.test_make_fx_vmap_cpu

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

TL;DR

The test test_make_fx_vmap_cpu is failing due to a TorchRuntimeError caused by Dynamo's inability to run an FX node with fake tensors, specifically when calling the sin function.

Guidance

1. Review the error message: The error indicates a failure when making a fake tensor call, specifically with the sin function. This suggests an issue with how the sin function is being used or compiled.
2. Check the test code: The test file functorch/test_eager_transforms.py contains the test test_make_fx_vmap_cpu. Review this test to understand how the sin function is being used and if there are any specific compilation flags or settings that might be causing the issue.
3. Run with verbose logging: Set TORCHDYNAMO_VERBOSE=1 to get the internal stack trace, which may provide more insight into the issue. Additionally, setting TORCH_LOGS="+dynamo" can provide even more developer context.
4. Test without compilation: As suggested in the error message, try removing the torch.compile call or using torch.compiler.set_stance("force_eager") to see if the issue persists when running in eager mode.

Example

No specific code example can be provided without modifying the existing test code. However, the test in question is test_make_fx_vmap_cpu in functorch/test_eager_transforms.py, which involves using torch.sin within a compiled function.

Notes

• The issue seems to be related to the interaction between PyTorch's Dynamo compilation and the functorch library, specifically with the vmap functionality.
• The error message suggests that the issue might be related to the sin function not being properly supported or compiled by Dynamo.

Recommendation

Apply a workaround by modifying the test to run in eager mode or by adjusting the compilation settings to avoid the error. Specifically, try setting torch.compiler.set_stance("force_eager") before running the test to force eager execution and see if the issue resolves.