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cyy fb90b4d4b2 [TorchGen] Use std::optional in generated code (#121454) 
This PR changes TorchGen to generate std::optional.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/121454
Approved by: https://github.com/ezyang
2024-03-29 14:11:09 +00:00
..
contrib [TorchGen] Use std::optional in generated code (#121454) 2024-03-29 14:11:09 +00:00
core [cuDNN] Cleanup cuDNN < 8.1 ifdefs (#120862) 2024-03-07 01:46:25 +00:00
cuda_rtc
db
distributed [4/N] Add -Wdeprecated and related fixes (#110204) 2023-10-07 19:46:08 +00:00
experiments [codemod] Remove unused variables in caffe2/caffe2/experiments/operators/tt_pad_op.h (#120177) 2024-03-19 23:36:52 +00:00
ideep [ONEDNN][BC-breaking] update onednn from v2.7.3 to v3.1.1 (#97957) 2023-08-25 12:13:18 +00:00
image
mobile
mpi
observers
onnx [codemod][highrisk] Fix shadowed variable in caffe2/caffe2/onnx/onnx_exporter.cc (#117996) 2024-01-22 22:57:06 +00:00
operators [codemod] Remove unused variables in caffe2/caffe2/operators/softmax_op_cudnn.cc (#121995) 2024-03-19 22:35:58 +00:00
opt [codemod] Remove unused variables in caffe2/caffe2/opt/nql/graphmatcher.cc (#118116) 2024-03-19 22:45:43 +00:00
perfkernels [caffe2] Add an avx512 implementation of adagrad_update (#113289) 2024-02-15 01:45:30 +00:00
predictor
proto
python Move doc links to point to main (#121823) 2024-03-15 19:49:37 +00:00
quantization
queue
serialize Expose recordSize in ChunkRecordIterator (#120239) 2024-02-21 04:33:03 +00:00
sgd
share
test
transforms [1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722) 2023-10-08 23:43:45 +00:00
utils [codemod][lowrisk] Fix deprecated use of 0/NULL (#120740) 2024-02-28 20:13:13 +00:00
video [codemod] Remove unused variables in caffe2/caffe2/video/video_decoder.cc (#122151) 2024-03-19 22:34:17 +00:00
__init__.py
.clang-format
BUILD_MODE.bzl
CMakeLists.txt Enable x86 CPU vectorization on windows [submodule sleef] (#118980) 2024-03-29 07:28:31 +00:00
README.md
release-notes.md
requirements.txt
unexported_symbols.lds
VERSION_NUMBER
version_script.lds

README.md

Caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

Questions and Feedback

Please use GitHub issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.

Further Resources on Caffe2.ai