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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Yan Shang aad748fbae Cannot divide on 0 
Summary: Add a small fix so that the divident won't be 0.

Reviewed By: kittipatv

Differential Revision: D5650240

fbshipit-source-id: fe17bdf0595c4ff113428d2bc18bf7c455e85302
2017-08-17 17:50:36 -07:00
.travis TravisCI: run Python tests 2017-07-05 10:10:04 -07:00
caffe/proto Fix protobuf build to properly include directories 2017-03-31 13:20:10 -07:00
caffe2 Cannot divide on 0 2017-08-17 17:50:36 -07:00
cmake Adios CNMEM. You will be remembered. 2017-08-17 00:05:57 -07:00
conda Conda packaging for caffe2. 2017-08-08 21:55:30 -07:00
docker Docker move 2017-08-09 13:54:17 -07:00
docs Remove map() and filter() in favor of comprehensions 2017-05-30 15:32:58 -07:00
scripts Add build support for opengl and latest nnpack. 2017-08-09 00:31:53 -07:00
third_party Update third_party/gloo 2017-08-15 14:04:21 -07:00
.Doxyfile Fix a few typos and grammars in comment 2017-06-14 18:22:39 -07:00
.Doxyfile-c changed doxygen config to new docs path (#311) 2017-04-19 11:49:59 -07:00
.Doxyfile-python changed doxygen config to new docs path (#311) 2017-04-19 11:49:59 -07:00
.gitignore Added Ninja generator support on Windows 2017-07-26 00:32:20 -07:00
.gitmodules Add build support for opengl and latest nnpack. 2017-08-09 00:31:53 -07:00
.travis.yml Bump travis osx to 8.3.3 2017-08-09 01:21:39 -07:00
appveyor.yml Fix a few typos and grammars in comment 2017-06-14 18:22:39 -07:00
cmake_uninstall.cmake.in add in make uninstall for cmake 2017-08-08 22:10:07 -07:00
CMakeLists.txt Adios CNMEM. You will be remembered. 2017-08-17 00:05:57 -07:00
LICENSE fbsync. TODO: check if build files need update. 2016-11-15 00:00:46 -08:00
Makefile Fix python support problems caused by building script errors. 2017-04-24 17:17:21 -07:00
PATENTS Create PATENTS 2017-04-07 13:46:29 -07:00
README.md updated research proposal link 2017-07-24 08:56:02 -07:00
release-notes.md launch updates (#309) 2017-04-19 11:40:51 -07:00

README.md

Caffe2

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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.

News and Events

Caffe2 research award competition request for proposals

Questions and Feedback

Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.

Please participate in our survey (https://www.surveymonkey.com/r/caffe2). We will send you information about new releases and special developer events/webinars.

License and Citation

Caffe2 is released under the BSD 2-Clause license.

Further Resources on Caffe2.ai