mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
ed327876f5
Generated by running the following from PyTorch root: ``` find . -regex ".*\.\(cpp\|h\|cu\|hpp\|cc\|cxx\)$" | grep -v "build/" | xargs -n 50 -P 4 perl -pi -e 's/c10::optional/std::optional/' ``` `c10::optional` is just an alias for `std::optional`. This removes usages of that alias in preparation for eliminating it entirely. Pull Request resolved: https://github.com/pytorch/pytorch/pull/126135 Approved by: https://github.com/Skylion007, https://github.com/malfet, https://github.com/albanD, https://github.com/aaronenyeshi |
||
|---|---|---|
| .. | ||
| 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.