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Yifu Wang 6e1ba79b7f [re-land] Introduce 3 low-latency, intra-node allreduce algorithms for small messages to PyTorch (#114001) (#116125) 
This is an attempt to re-land https://github.com/pytorch/pytorch/pull/114001. The previous attempt used `std::array` in cuda kernels which wasn't compatible with Meta's internal build.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/116125
Approved by: https://github.com/yf225
2023-12-20 07:13:50 +00:00
..
contrib
Revert "Add _foreach_clamp (#106574)"
2023-08-11 21:05:04 +00:00
core
[ROCm] Disabling Kernel Asserts for ROCm by default - fix and clean up and refactoring (#114660)
2023-12-13 15:44:53 +00:00
cuda_rtc
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
db
[NOOP][clangformat][codemod] Enable CLANGFORMAT for caffe2/caffe2/* (#67624)
2021-11-02 22:14:04 -07:00
distributed
[4/N] Add -Wdeprecated and related fixes (#110204)
2023-10-07 19:46:08 +00:00
experiments
[BE] Remove dependency on six and future (#94709)
2023-02-14 09:14:14 +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
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
mobile
Fix typos under caffe2 directory (#87840)
2022-10-28 04:53:36 +00:00
mpi
[BE] Enforce missing override keyword (#104032)
2023-06-24 02:34:24 +00:00
observers
[NOOP][clangformat][codemod] Enable CLANGFORMAT for caffe2/caffe2/* (#67624)
2021-11-02 22:14:04 -07:00
onnx
[NOOP][clangformat][codemod] Enable CLANGFORMAT for caffe2/caffe2/* (#67624)
2021-11-02 22:14:04 -07:00
operators
[Resubmit][S372460 follow up] Reduce embedding feature validation failure carry-on impact (#111838)
2023-10-28 03:50:33 +00:00
opt
[codemod][lowrisk] Remove extra semi colon from caffe2/caffe2/opt/optimizer.cc (#115018)
2023-12-13 23:11:33 +00:00
perfkernels
Revert "Use missing-prototypes in torch_cpu (#103725)"
2023-06-22 18:30:31 +00:00
predictor
print available modules in predictor error message (#78101)
2022-05-24 18:47:06 +00:00
proto
extract torch.proto to its own library (#97614)
2023-03-30 10:35:03 +00:00
python
Revert "[Reland2] Update NVTX to NVTX3 (#109843)"
2023-12-05 16:10:20 +00:00
quantization
[BE]: Apply PYI autofixes to various types (#107521)
2023-08-20 02:42:21 +00:00
queue
[caffe2] Replace CAFFE_ prefixes in static_tracepoint.h macros with TORCH_ (#106380)
2023-08-03 21:51:36 +00:00
serialize
Reduce single reader check time for inline_container (#113328)
2023-11-09 22:02:28 +00:00
sgd
[CUDA] Drop CUDA 10 support (#89582)
2023-01-05 05:11:53 +00:00
share
Revert "Use missing-prototypes in torch_cpu (#103725)"
2023-06-22 18:30:31 +00:00
test
Replace all CHECK_ and DCHECK_ with TORCH_* macros (#82032)
2022-07-26 01:20:44 +00:00
transforms
[1/N] Enable Wunused-result and Wunused-variable in torch targets (#110722)
2023-10-08 23:43:45 +00:00
utils
[ROCm] Fix caffe2 build with hipblasv2 api (#116073)
2023-12-20 04:02:29 +00:00
video
[codemod][llvm15] LLVM-15 fixes for caffe2/caffe2/video/video_decoder.cc (#89937)
2022-12-01 03:46:22 +00:00
__init__.py
Add warning when importing caffe2 on build without BUILD_CAFFE2=1
2022-04-21 12:28:10 +00:00
.clang-format
Add clang-format style file to caffe2
2018-02-05 20:35:18 -08:00
BUILD_MODE.bzl
Add all bzl files per D36874458
2022-06-06 09:40:19 -07:00
CMakeLists.txt
[re-land] Introduce 3 low-latency, intra-node allreduce algorithms for small messages to PyTorch (#114001) (#116125)
2023-12-20 07:13:50 +00:00
README.md
Update README.md (#85534)
2022-11-17 01:06:15 +00:00
release-notes.md
Fix typos under caffe2 directory (#87840)
2022-10-28 04:53:36 +00:00
requirements.txt
Remove references to typing module from setup.py (#47677)
2020-11-12 10:04:38 -08:00
unexported_symbols.lds
Hide all symbols in llvm namespace (#63272)
2021-08-15 11:29:43 -07:00
VERSION_NUMBER
move flags to c10 (#12144)
2018-10-04 02:09:56 -07:00
version_script.lds
Hide all symbols in llvm namespace (#63272)
2021-08-15 11:29:43 -07:00

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