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pytorch/caffe2
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Radek Bartoň c74310616d _mm_prefetch is for Intel, changed to __prefetch for Arm64 (#96638) 
The current master build on Windows Arm64 is broken on this.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/96638
Approved by: https://github.com/malfet
2023-04-13 18:11:14 +00:00
..
contrib distinguish mutability of TensorImpl::data() (#97776) 2023-04-09 20:21:56 +00:00
core [PyTorch] Further reduce cost of TypeMeta::_typeMetaData (by 10x!) (#98105) 2023-04-12 17:44:48 +00:00
cuda_rtc
db
distributed [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
experiments [BE] Remove dependency on six and future (#94709) 2023-02-14 09:14:14 +00:00
ideep [MKLDNN] Rename pooling_avg to pooling_avg_exclude_padding (#90247) 2023-01-12 00:08:30 +00:00
image
mobile
mpi
observers
onnx
operators Fix misuse of active mask (#98157) (#98159) 2023-04-11 03:30:10 +00:00
opt some reference and move fixes (#95942) 2023-03-10 03:44:09 +00:00
perfkernels [BE] Enforce sign-compare (#96723) 2023-03-15 06:04:20 +00:00
predictor
proto extract torch.proto to its own library (#97614) 2023-03-30 10:35:03 +00:00
python [hypothesis==6.70.1] Fix more test errors (#98685) 2023-04-11 19:07:55 +00:00
quantization [hypothesis==6.70.1] Fix more test errors (#98685) 2023-04-11 19:07:55 +00:00
queue
serialize _mm_prefetch is for Intel, changed to __prefetch for Arm64 (#96638) 2023-04-13 18:11:14 +00:00
sgd [CUDA] Drop CUDA 10 support (#89582) 2023-01-05 05:11:53 +00:00
share Fix some code issues (#92760) 2023-01-24 08:19:03 +00:00
test
transforms
utils remove dead proto_convert library (#97598) 2023-03-27 21:19:29 +00:00
video
.clang-format
__init__.py
BUILD_MODE.bzl
CMakeLists.txt use libcusolver_lapack_static.a for CUDA>=12 (#98072) 2023-03-31 20:47:53 +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