pytorch - 💡(How to fix) Fix DISABLED test_ifft_norm_ortho (__main__.TestFFT1D) [2 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 3528, in wrapper method(*args, **kwargs) ~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/testing/_internal/common_utils.py", line 603, in instantiated_test test(self, **param_kwargs) ~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/__w/pytorch/pytorch/test/torch_np/numpy_tests/fft/test_pocketfft.py", line 73, in test_ifft assert_allclose(x, np.fft.ifft(np.fft.fft(x, norm=norm), norm=norm), atol=1e-6) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 2506, in call result = self._torchdynamo_orig_backend( frame, cache_entry, self.hooks, frame_state, skip=1 ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 2217, in call result = self._inner_convert( frame, cache_entry, hooks, frame_state, skip=skip + 1 ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 772, in call result = _compile( frame.f_code, ...<18 lines>... convert_frame_box=self._box, ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 2001, in _compile guarded_code, tracer_output = compile_inner(code, one_graph, hooks) ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_utils_internal.py", line 96, in wrapper_function return function(*args, **kwargs) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 1611, in compile_inner result = _compile_inner(code, one_graph, hooks) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 1670, in _compile_inner dynamo_output = compile_frame( code, ...<11 lines>... package=package, ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 1516, in compile_frame bytecode, tracer_output = transform_code_object(code, transform) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/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/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 1488, in transform tracer_output = trace_frame( code, ...<14 lines>... package=package, ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 367, in _fn return fn(*args, **kwargs) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 949, in trace_frame run_tracer() ~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/convert_frame.py", line 930, in run_tracer tracer.run() ~~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 1809, in run while self.step(): ~~~~~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 1476, in step self.dispatch_table[inst.opcode](self, inst) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 1013, in wrapper return inner_fn(self, inst) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 4401, in CALL_KW self._call(inst, call_kw=True) ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 4177, in _call self.call_function(fn, args, kwargs) ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/symbolic_convert.py", line 1377, in call_function self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/variables/lazy.py", line 306, in realize_and_forward return getattr(self.realize(), name)(args, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/variables/misc.py", line 1831, in call_function return NumpyNdarrayVariable.create(tx, proxy) ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/variables/tensor.py", line 2353, in create return wrap_fx_proxy_cls( target_cls=NumpyNdarrayVariable, ...<2 lines>... **options, ) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/variables/builder.py", line 3195, 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/python3.14t/site-packages/torch/_dynamo/variables/builder.py", line 3319, 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/python3.14t/site-packages/torch/_dynamo/utils.py", line 3757, in get_fake_value return _get_fake_value_impl(node, tx, allow_non_graph_fake) File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/utils.py", line 3948, in _get_fake_value_impl _wrap_graph_break_with_torch_runtime_err( ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ lambda: unimplemented( ^^^^^^^^^^^^^^^^^^^^^^ ...<5 lines>... ) ^ ) ^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/utils.py", line 3746, in _wrap_graph_break_with_torch_runtime_err raise exc.with_traceback(e.traceback) from None File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/utils.py", line 3743, in _wrap_graph_break_with_torch_runtime_err gb_fn() ~~~~~^^ File "/opt/conda/envs/py_3.14/lib/python3.14t/site-packages/torch/_dynamo/utils.py", line 3949, 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/python3.14t/site-packages/torch/_dynamo/exc.py", line 658, 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 <Wrapped function <original ifft>>(([],), **{'norm': 'ortho'}): got RuntimeError('Invalid number of data points (0) specified') 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/torch_np/numpy_tests/fft/test_pocketfft.py", line 78, in torch_dynamo_resume_in_test_ifft_at_73 np.fft.ifft([], norm=norm)

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/torch_np/numpy_tests/fft/test_pocketfft.py TestFFT1D.test_ifft_norm_ortho

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

TL;DR

The test test_ifft_norm_ortho is failing due to a TorchRuntimeError caused by an invalid number of data points (0) specified when running with fake tensors.

Guidance

• The error occurs when running the test with torch.compile and torch_dynamo, suggesting an issue with the compilation or tracing of the code.
• The hint provided in the error message suggests checking the code for errors when running in eager mode, which can be done by removing the torch.compile call or using torch.compiler.set_stance("force_eager").
• To debug the issue, set TORCHDYNAMO_VERBOSE=1 for the internal stack trace and TORCH_LOGS="+dynamo" for more developer context.
• Run the test with PYTORCH_TEST_WITH_DYNAMO=1 to reproduce the error.

Example

No code snippet is provided as the issue is related to the test setup and compilation rather than a specific code block.

Notes

The error message provides a link to a graph break site for more details, which may be helpful in debugging the issue. Additionally, the test can be run with different settings to reproduce the error and gather more information.

Recommendation

Apply workaround: Run the test with PYTORCH_TEST_WITH_DYNAMO=1 and TORCHDYNAMO_VERBOSE=1 to gather more information and debug the issue.