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2a2c07ae37
Summary: https://github.com/pytorch/pytorch/pull/89122 introduces internal compatibility issues with torchdeploy. However, GetPythonFramesFunction() never worked with torchdeploy, so this PR simply reverts to the original behavior of skipping the function if torchdeploy is used as a forward fix. Test Plan: Running failed tests in T128123281 ``` buck2 test @//mode/opt //multipy/runtime:test_deploy -- --exact 'multipy/runtime:test_deploy - TorchpyTest.TaggingRace' --run-disabled buck2 test mode/dev //multipy/runtime/testdev:test_deploy_from_python -- --exact 'multipy/runtime/testdev:test_deploy_from_python - multipy.runtime.testdev.test_deploy_from_python.TestDeployFromPython: test_deploy_from_python' ``` Differential Revision: D41414263 Pull Request resolved: https://github.com/pytorch/pytorch/pull/89315 Approved by: https://github.com/kurman |
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| init.cpp | ||
| init.h | ||
| python_util.cpp | ||
| python_util.h | ||
| README.md | ||
Lazy Tensor Python Code
Lazy Tensor Core is part of libtorch, which can not depend on python.
Parts of lazy tensor core use python for 2 purposes A) py bindings let python programs call into lazy tensor c++ code B) lazy tensor core calls into python to use it (e.g. for grabbing stack traces)
(A) is trivial since the python bindings only depend on libtorch; (B) requires making libtorch_python register a function with libtorch if loaded, and having a default (no-op) function otherwise. Any functionality that strictly needs to depend on python should be part of the 'python' folder.