mirror of
https://github.com/zebrajr/pytorch.git
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328cfd50e7
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72607
since python isn't available from libtorch, most of lazy tensor
code can't depend on python.
separate python_util into libtorch_python library
make debug_util and IR dump work with or without python by providing
a default function for 'maybe getting python stacktrace' that returns
an empty stacktrace
use a registration mechanism on libtorch_python library load to update
the 'maybe' function to use the real python stacktrace getter
Test Plan:
OSS build tests:
- test_ptltc by itself works
- LTC_SAVE_TENSORS_FILE=log test_ptltc works, and log contains
empty stacktrces
- python examply.py by itself works
- LTC_SAVE_TENSORS_FILE=log test_ptltc works, and log contains
real stacktraces
fbcode build: rely on CI to run test/lazy
Reviewed By: desertfire
Differential Revision: D34115046
fbshipit-source-id: 8d6222963c146da36b3c1b5ff8a638bbc3f1442e
(cherry picked from commit 3717688ade)
16 lines
339 B
C++
16 lines
339 B
C++
#pragma once
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#include <c10/macros/Export.h>
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#include <c10/util/Optional.h>
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#include <torch/csrc/lazy/core/ir_metadata.h>
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#include <vector>
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namespace torch {
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namespace lazy {
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c10::optional<SourceLocation> TORCH_API GetPythonFrameTop();
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std::vector<SourceLocation> TORCH_API GetPythonFrames();
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} // namespace lazy
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} // namespace torch
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