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History

Digant Desai d3a3604581 [pthreadpool] Don't recreate threadpool if the counts are same (#90478 ) Summary: Don't do anything if the incoming count and current threadpool size are same Test Plan: CI Reviewed By: salilsdesai Differential Revision: D41628132 Pull Request resolved: https://github.com/pytorch/pytorch/pull/90478 Approved by: https://github.com/salilsdesai		2022-12-10 03:17:08 +00:00
..
contrib	Fix typos in .md and .rst files (#88962 )	2022-11-17 03:37:02 +00:00
core	Fix C2 Ambiguous namespace (#89534 )	2022-12-07 23:36:41 +00:00
cuda_rtc
db
distributed
experiments
ideep
image
mobile
mpi
observers
onnx
operators	Fix typo in segment_reduction_op_gpu.cu (#89647 )	2022-11-25 19:26:18 +00:00
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	Fix non-existing parameters in docstrings (#90505 )	2022-12-09 21:43:09 +00:00
quantization
queue
serialize
sgd
share
test
transforms
utils	[pthreadpool] Don't recreate threadpool if the counts are same (#90478 )	2022-12-10 03:17:08 +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	Clean up dependancy for flatbuffer_loader (#86041 )	2022-12-08 03:48:04 +00:00
README.md	Update README.md (#85534 )	2022-11-17 01:06:15 +00:00
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.

README.md

Caffe2

Questions and Feedback

Further Resources on Caffe2.ai