Add docblock for autotune_cache.py#155133
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bobrenjc93 wants to merge 1 commit intogh/bobrenjc93/401/basefrom
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Add docblock for autotune_cache.py#155133bobrenjc93 wants to merge 1 commit intogh/bobrenjc93/401/basefrom
bobrenjc93 wants to merge 1 commit intogh/bobrenjc93/401/basefrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/155133
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aorenste
approved these changes
Jun 5, 2025
| - AutotuneCache: Main class for managing cache access and storage | ||
| - AutotuneCacheBundler: Bundles multiple cache entries for efficient storage | ||
| - LocalAutotuneCache: Handles filesystem-based caching | ||
| - _LocalAutotuneCacheBackend: Low-level file operations for cache storage |
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nit: Maybe not worth talking about internal implementation details here?
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@pytorchbot merge -i |
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Merge startedYour change will be merged while ignoring the following 5 checks: linux-binary-manywheel / get-label-type / runner-determinator, linux-aarch64 / get-label-type / runner-determinator, linux-binary-libtorch-release / get-label-type / runner-determinator, trunk / get-label-type / runner-determinator, trunk / before-test / get-label-type / runner-determinator Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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@pytorchbot merge -i |
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Merge startedYour change will be merged while ignoring the following 5 checks: linux-binary-manywheel / get-label-type / runner-determinator, linux-aarch64 / get-label-type / runner-determinator, linux-binary-libtorch-release / get-label-type / runner-determinator, trunk / get-label-type / runner-determinator, trunk / before-test / get-label-type / runner-determinator Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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@pytorchbot merge -f "low risk; stuck merging" |
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Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Example new error message
```
torch.fx.experimental.symbolic_shapes.ConstraintViolationError: Constraints violated (L['x'].size()[0])! For more information, run with TORCH_LOGS="+dynamic".
- You marked L['x'].size()[0] as dynamic but your code specialized it to be a constant (5). Either remove the mark_dynamic or use a less strict API such as maybe_mark_dynamic or Dim.AUTO.
Framework stack:
File "??", line 0, in _start
File "", line 0, in __libc_start_main_alias_2
File "??", line 0, in __libc_start_call_main
File "/usr/local/src/conda/python-3.10.16/Modules/main.c", line 1094, in Py_BytesMain
File "/usr/local/src/conda/python-3.10.16/Modules/main.c", line 357, in pymain_run_file_obj
File "/usr/local/src/conda/python-3.10.16/Python/pythonrun.c", line 90, in _PyRun_AnyFileObject
File "/usr/local/src/conda/python-3.10.16/Python/pythonrun.c", line 456, in _PyRun_SimpleFileObject
File "/usr/local/src/conda/python-3.10.16/Python/pythonrun.c", line 1208, in pyrun_file
File "/usr/local/src/conda/python-3.10.16/Python/pythonrun.c", line 1312, in run_mod
File "/usr/local/src/conda/python-3.10.16/Python/pythonrun.c", line 1291, in run_eval_code_obj
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 1134, in PyEval_EvalCode
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/scratch/repro.py", line 9, in <module>
foo(x)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/eval_frame.py", line 699, in compile_wrapper
return fn(*args, **kwargs)
File "offloadstuff.c", line 0, in dynamo__custom_eval_frame
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 305, in _PyObject_Call
File "/usr/local/src/conda/python-3.10.16/Objects/typeobject.c", line 7494, in slot_tp_call
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 431, in _PyObject_Call_Prepend
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 1469, in __call__
return self._torchdynamo_orig_callable(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Objects/typeobject.c", line 7494, in slot_tp_call
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 431, in _PyObject_Call_Prepend
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 153, in _PyObject_FastCallDictTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 1248, in __call__
result = self._inner_convert(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Objects/typeobject.c", line 7494, in slot_tp_call
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 431, in _PyObject_Call_Prepend
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 153, in _PyObject_FastCallDictTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 625, in __call__
return _compile(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 1092, in _compile
guarded_code = compile_inner(code, one_graph, hooks, transform)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_utils_internal.py", line 97, in wrapper_function
return function(*args, **kwargs)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 779, in compile_inner
return _compile_inner(code, one_graph, hooks, transform)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 818, in _compile_inner
out_code = transform_code_object(code, transform)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/bytecode_transformation.py", line 1424, in transform_code_object
transformations(instructions, code_options)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 265, in _fn
return fn(*args, **kwargs)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/convert_frame.py", line 743, in transform
tracer.run()
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/symbolic_convert.py", line 3531, in run
super().run()
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/symbolic_convert.py", line 1359, in run
while self.step():
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/symbolic_convert.py", line 1263, in step
self.dispatch_table[inst.opcode](self, inst)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/symbolic_convert.py", line 422, in impl
self.push(fn_var.call_function(self, self.popn(nargs), {}))
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builtin.py", line 1160, in call_function
return handler(tx, args, kwargs)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builtin.py", line 792, in <lambda>
return lambda tx, args, kwargs: obj.call_function(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builtin.py", line 1160, in call_function
return handler(tx, args, kwargs)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builtin.py", line 1120, in _handle_insert_op_in_graph
return wrap_fx_proxy(tx, proxy)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builder.py", line 2500, in wrap_fx_proxy
return wrap_fx_proxy_cls(target_cls=TensorVariable, **kwargs)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 267, in PyVectorcall_Call
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builder.py", line 2566, in wrap_fx_proxy_cls
return _wrap_fx_proxy(
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/variables/builder.py", line 2664, in _wrap_fx_proxy
example_value = get_fake_value(proxy.node, tx, allow_non_graph_fake=True)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/utils.py", line 3205, in get_fake_value
ret_val = wrap_fake_exception(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/utils.py", line 2705, in wrap_fake_exception
return fn()
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/utils.py", line 3206, in <lambda>
lambda: run_node(tx.output, node, args, kwargs, nnmodule)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_dynamo/utils.py", line 3373, in run_node
return node.target(*args, **kwargs)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5917, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Objects/methodobject.c", line 430, in cfunction_vectorcall_FASTCALL
File "/usr/local/src/conda/python-3.10.16/Objects/abstract.c", line 891, in binary_op1
File "/usr/local/src/conda/python-3.10.16/Objects/typeobject.c", line 7284, in slot_nb_multiply
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/descrobject.c", line 344, in method_vectorcall_VARARGS_KEYWORDS
File "python_variable_methods.cpp", line 0, in _object* torch::autograd::TypeError_to_NotImplemented_<&torch::autograd::THPVariable_mul>(_object*, _object*, _object*)
File "python_variable_methods.cpp", line 0, in torch::autograd::THPVariable_mul(_object*, _object*, _object*)
File "??", line 0, in at::_ops::mul_Tensor::call(at::Tensor const&, at::Tensor const&)
File "offloadstuff.c", line 0, in c10::impl::BoxedKernelWrapper<at::Tensor (at::Tensor const&, at::Tensor const&), void>::call(c10::BoxedKernel const&, c10::OperatorHandle const&, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)
File "PyInterpreter.cpp", line 0, in torch::detail::(anonymous namespace)::ConcretePyInterpreterVTable::python_dispatcher(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const
File "offloadstuff.c", line 0, in c10::OperatorHandle::callBoxedForDispatchKey(c10::DispatchKey, std::vector<c10::IValue, std::allocator<c10::IValue> >&) const
File "PythonFallbackKernel.cpp", line 0, in void c10::BoxedKernel::make_boxed_function<&(anonymous namespace)::pythonTLSSnapshotFallback>(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)
File "PyInterpreter.cpp", line 0, in torch::detail::(anonymous namespace)::ConcretePyInterpreterVTable::python_dispatcher(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const
File "offloadstuff.c", line 0, in c10::OperatorHandle::callBoxedForDispatchKey(c10::DispatchKey, std::vector<c10::IValue, std::allocator<c10::IValue> >&) const
File "VariableType_0.cpp", line 0, in c10::impl::make_boxed_from_unboxed_functor<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::mul_Tensor>, at::Tensor, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, at::Tensor const&> >, false>::call(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)
File "VariableType_0.cpp", line 0, in torch::autograd::VariableType::(anonymous namespace)::mul_Tensor(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)
File "??", line 0, in at::_ops::mul_Tensor::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)
File "offloadstuff.c", line 0, in c10::impl::BoxedKernelWrapper<at::Tensor (at::Tensor const&, at::Tensor const&), void>::call(c10::BoxedKernel const&, c10::OperatorHandle const&, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)
File "PyInterpreter.cpp", line 0, in torch::detail::(anonymous namespace)::ConcretePyInterpreterVTable::python_dispatcher(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const
File "offloadstuff.c", line 0, in c10::OperatorHandle::callBoxedForDispatchKey(c10::DispatchKey, std::vector<c10::IValue, std::allocator<c10::IValue> >&) const
File "PythonFallbackKernel.cpp", line 0, in (anonymous namespace)::pythonFallback(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)
File "PyInterpreter.cpp", line 0, in torch::detail::(anonymous namespace)::ConcretePyInterpreterVTable::dispatch(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const
File "??", line 0, in torch::handle_torch_function_no_python_arg_parser(c10::ArrayRef<_object*>, _object*, _object*, char const*, _object*, char const*, torch::TorchFunctionName)
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 577, in PyObject_CallMethod
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/utils/_stats.py", line 27, in wrapper
return fn(*args, **kwargs)
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_tensor.py", line 1346, in __torch_dispatch__
return self.dispatch(func, types, args, kwargs)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_tensor.py", line 2029, in dispatch
return self._cached_dispatch_impl(func, types, args, kwargs)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_tensor.py", line 1442, in _cached_dispatch_impl
return self._dispatch_impl(func, types, args, kwargs)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_tensor.py", line 2552, in _dispatch_impl
return maybe_propagate_real_tensors(fast_impl(self, *args, **kwargs))
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_impls.py", line 956, in fast_binary_impl
final_shape = infer_size(final_shape, shape)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/_subclasses/fake_impls.py", line 916, in infer_size
torch._check(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/__init__.py", line 1669, in _check
_check_with(RuntimeError, cond, message)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/__init__.py", line 1632, in _check_with
if expect_true(cond):
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 1686, in expect_true
return a.node.expect_true(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/sym_node.py", line 552, in expect_true
return self.guard_bool(file, line)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/sym_node.py", line 536, in guard_bool
r = self.evaluate()
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/sym_node.py", line 510, in evaluate
return self.shape_env.evaluate_sym_node(self, size_oblivious)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 7113, in evaluate_sym_node
return self.evaluate_expr(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Modules/_functoolsmodule.c", line 1020, in bounded_lru_cache_wrapper
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 267, in PyVectorcall_Call
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/recording.py", line 272, in wrapper
return retlog(fn(*args, **kwargs))
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 267, in PyVectorcall_Call
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 7215, in evaluate_expr
return self._inner_evaluate_expr(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Modules/_functoolsmodule.c", line 1020, in bounded_lru_cache_wrapper
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/recording.py", line 272, in wrapper
return retlog(fn(*args, **kwargs))
File "/usr/local/src/conda/python-3.10.16/Python/ceval.c", line 5945, in do_call_core
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 7238, in _inner_evaluate_expr
return self._evaluate_expr(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 7505, in _evaluate_expr
self._maybe_guard_rel(g)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Modules/_functoolsmodule.c", line 1020, in bounded_lru_cache_wrapper
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 6758, in _maybe_guard_rel
self._refine_ranges(expr)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 7709, in _refine_ranges
self._set_replacement(
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/fx/experimental/symbolic_shapes.py", line 6667, in _set_replacement
self.framework_specialization_stacks[source] = CapturedTraceback.extract(cpp=True)
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 114, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Include/internal/pycore_ceval.h", line 46, in _PyEval_EvalFrame
File "/home/bobren/local/a/pytorch/torch/utils/_traceback.py", line 207, in extract
torch._C._profiler.gather_traceback(python=True, script=script, cpp=cpp),
File "/usr/local/src/conda/python-3.10.16/Include/cpython/abstract.h", line 112, in _PyObject_VectorcallTstate
File "/usr/local/src/conda/python-3.10.16/Objects/call.c", line 215, in _PyObject_MakeTpCall
File "/usr/local/src/conda/python-3.10.16/Objects/methodobject.c", line 543, in cfunction_call
File "offloadstuff.c", line 0, in pybind11::cpp_function::dispatcher(_object*, _object*, _object*)
File "offloadstuff.c", line 0, in pybind11::cpp_function::initialize<std::shared_ptr<torch::CapturedTraceback> (*&)(bool, bool, bool), std::shared_ptr<torch::CapturedTraceback>, bool, bool, bool, pybind11::name, pybind11::scope, pybind11::sibling, pybind11::arg_v, pybind11::arg_v, pybind11::arg_v>(std::shared_ptr<torch::CapturedTraceback> (*&)(bool, bool, bool), std::shared_ptr<torch::CapturedTraceback> (*)(bool, bool, bool), pybind11::name const&, pybind11::scope const&, pybind11::sibling const&, pybind11::arg_v const&, pybind11::arg_v const&, pybind11::arg_v const&)::{lambda(pybind11::detail::function_call&)#3}::_FUN(pybind11::detail::function_call&)
File "??", line 0, in torch::CapturedTraceback::gather(bool, bool, bool)
File "??", line 0, in torch::unwind::unwind()
User stack:
File "/home/bobren/local/a/pytorch/scratch/repro.py", line 5, in foo
return torch.randn(5) * x
```
Pull Request resolved: #155603
Approved by: https://github.com/zou3519, https://github.com/cyyever
ghstack dependencies: #155133
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Stack from ghstack (oldest at bottom):
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov