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pytorch/caffe2
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Zachary DeVito 7a2889b014 Stop producing op_version_set version numbers. 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/28122

Test Plan: Imported from OSS

Differential Revision: D17959565

Pulled By: zdevito

fbshipit-source-id: 701101bd870700eb0c9882c69e2cfdd2524b555e
2019-12-04 19:14:43 -08:00
..
contrib Fix typos (#30606) 2019-12-02 20:17:42 -08:00
core Split libtorch.so back into libtorch_{cpu,cuda,hip} (#30315) 2019-12-04 08:04:57 -08:00
cuda_rtc
db
distributed
experiments
ideep Build torch.distributed with Gloo backend on macOS (#25260) 2019-09-05 07:09:50 -07:00
image
mobile Fix typos (#30606) 2019-12-02 20:17:42 -08:00
mpi
observers
onnx Add support for converting quantized AvgPool2d and Reshape operations (#30490) 2019-12-02 18:15:01 -08:00
operators add MaskedRowWiseSparseAdagrad 2019-12-04 12:36:09 -08:00
opt Fix typos (#30606) 2019-12-02 20:17:42 -08:00
perfkernels Back out "make the order btw div and mul in adagrad update consistent" (#30737) 2019-12-04 17:43:45 -08:00
predictor Fix typos (#30606) 2019-12-02 20:17:42 -08:00
proto Fix typos (#30606) 2019-12-02 20:17:42 -08:00
python Fix typos (#30606) 2019-12-02 20:17:42 -08:00
quantization Fix typos (#30606) 2019-12-02 20:17:42 -08:00
queue
serialize Stop producing op_version_set version numbers. 2019-12-04 19:14:43 -08:00
sgd Back out "make the order btw div and mul in adagrad update consistent" (#30737) 2019-12-04 17:43:45 -08:00
share
test
transforms
utils Fix deadlock issues in ThreadPool (#29885) 2019-11-15 19:27:52 -08:00
video Fix typos (#30606) 2019-12-02 20:17:42 -08:00
__init__.py
.clang-format
c2_aten_srcs.bzl Back out "Back out "Revert D18542342: Boxed variable dispatch"" 2019-12-02 16:06:36 -08:00
CMakeLists.txt Split libtorch.so back into libtorch_{cpu,cuda,hip} (#30315) 2019-12-04 08:04:57 -08:00
README.md
release-notes.md
requirements.txt Add requests as a legit dependency (#25596) 2019-09-04 17:43:37 -07:00
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README.md

Caffe2

Jenkins Build Status

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