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pytorch/caffe2
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Ilia Cherniavskii 580eab6562 Restore TBB module (#20454) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20454
ghimport-source-id: 14aca1dedbe647d41e55e7538a6b7eeab0fc4384

Differential Revision: D15326062

Pulled By: ilia-cher

fbshipit-source-id: 02b005a679b10dc7a264978e87a8d2bb98ab972f
2019-05-28 02:49:36 -07:00
..
contrib Remove Variable::Impl and DifferentiableViewImpl (#17072) 2019-05-23 21:09:04 -07:00
core Specify dispatch key with kernel (#20821) 2019-05-24 14:23:35 -07:00
cuda_rtc
db
distributed
experiments
ideep Remove useless input shape checker in conv (#19608) 2019-04-24 11:39:43 -07:00
image Clang-format ImageInputOp (#20441) 2019-05-16 23:00:09 -07:00
mobile update legacy plus one for mpscnn 2019-05-16 18:17:18 -07:00
mpi
observers
onnx Export randn_like in ONNX exporter (#20093) 2019-05-06 14:54:46 -07:00
operators fix bug of not using get_score_cls_index in BoxWithNMSLimitOp (#20868) 2019-05-24 22:31:01 -07:00
opt Add onnxifi support for Int8FCDNNLowPPackedWeightBlob (#20564) 2019-05-20 16:57:11 -07:00
perfkernels eliminate FE_INVALID exceptions related to fp16 conversion (#20390) 2019-05-13 23:42:01 -07:00
predictor Removing cyclic dependency (#20511) 2019-05-14 18:55:19 -07:00
proto Add support for __getstate__/__setstate__ on module (#20242) 2019-05-17 14:43:14 -07:00
python fix bug of not using get_score_cls_index in BoxWithNMSLimitOp (#20868) 2019-05-24 22:31:01 -07:00
quantization Add onnxifi support for Int8FCDNNLowPPackedWeightBlob (#20564) 2019-05-20 16:57:11 -07:00
queue
serialize Add the support of feature store example in pytorch model in fblearner (#20040) 2019-05-20 12:58:27 -07:00
sgd shape inference for learning rate op (#20020) 2019-05-14 23:34:32 -07:00
share
test
transforms
utils Lightweight at-most-once logging for API usage (#20745) 2019-05-23 23:17:59 -07:00
video codemode change missing [from D13586737] 2019-05-13 20:44:04 -07:00
.clang-format
__init__.py
CMakeLists.txt Restore TBB module (#20454) 2019-05-28 02:49:36 -07:00
README.md
release-notes.md
requirements.txt
VERSION_NUMBER

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