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cyy d4a98280a8 [Reland] Use missing-prototypes in torch_cpu (#104138) 
This PR enables Wmissing-prototypes in torch_cpu except some generated cpp files and the mps and metal,vulkan backends and caffe2 sources.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/104138
Approved by: https://github.com/albanD, https://github.com/malfet
2023-06-26 22:53:43 +00:00
..
contrib [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
core [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
cuda_rtc
db
distributed [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
experiments
ideep [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
image
mobile
mpi [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
observers
onnx
operators [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
opt [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
perfkernels Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
predictor
proto extract torch.proto to its own library (#97614) 2023-03-30 10:35:03 +00:00
python [codemod][numpy] replace np.str with str (#103931) 2023-06-21 18:16:42 +00:00
quantization [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
queue [BE] Enforce missing override keyword (#104032) 2023-06-24 02:34:24 +00:00
serialize Integrating new API usage metadata logger (#101762) 2023-05-26 00:24:26 +00:00
sgd
share Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
test
transforms Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
utils Revert "Use missing-prototypes in torch_cpu (#103725)" 2023-06-22 18:30:31 +00:00
video
.clang-format
__init__.py
BUILD_MODE.bzl
CMakeLists.txt [Reland] Use missing-prototypes in torch_cpu (#104138) 2023-06-26 22:53:43 +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