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pytorch/caffe2
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Richard Barnes 6f749fd171 Fixes to DSA infra (#91835) 
Differential Revision: D42397325

Pull Request resolved: https://github.com/pytorch/pytorch/pull/91835
Approved by: https://github.com/soumith
2023-01-12 21:54:26 +00:00
..
contrib
core Fixes to DSA infra (#91835) 2023-01-12 21:54:26 +00:00
cuda_rtc
db
distributed
experiments
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
opt
perfkernels add bf16 in fp32 out fast path for embedingbag in caffe2 perfkernel (#89198) 2022-11-30 13:06:13 +00:00
predictor
proto
python disabled flaky c2 test (#91640) 2023-01-03 21:26:21 +00:00
quantization
queue
serialize Add an option to skip loading of debug traces (#91430) 2022-12-29 22:53:17 +00:00
sgd [CUDA] Drop CUDA 10 support (#89582) 2023-01-05 05:11:53 +00:00
share
test
transforms
utils [CUDA] Drop CUDA 10 support (#89582) 2023-01-05 05:11:53 +00:00
video [codemod][llvm15] LLVM-15 fixes for caffe2/caffe2/video/video_decoder.cc (#89937) 2022-12-01 03:46:22 +00:00
.clang-format
__init__.py
BUILD_MODE.bzl
CMakeLists.txt Some CMake and CUDA cleanup given recent update to C++17 (#90599) 2022-12-30 11:19:26 +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