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Refactor autograd package to separate Python dependencies. #662
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apaszke
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A style thing is that maybe we should unify the file names between autograd (all lowercase) and the main extension (camel case).
torch/csrc/DynamicTypes.cpp
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The core autograd Variable, Function, and Engine no longer depend on the Python API. This let's us implement functions in C++. In the future, we can also multithread engine and release the GIL for most of the non-Python backwards.
The core autograd Variable, Function, and Engine no longer depend on the
Python API. This let's us implement functions in C++. In the future, we
can also multithread engine and release the GIL for most of the
non-Python backwards.
For now, the only Function implemented in C++ is batch normalization.
The C++ API differs a bit from the Python API:
previous_functionsvector.Most of the Python specific code is in
python_xxx.cppfiles. There ispython_function.cppfor functions implemented in Python andpython_native_function.cppfor functions implemented in C++ and exposed in Python.