Tensors and Dynamic neural networks in Python with strong GPU acceleration
Find a file
Wojciech Glogowski a7ec5def7b data_parallel_model names fix
Summary: Updated usage of deprecated functions in data_parallel_model.py

Reviewed By: akyrola

Differential Revision: D5738512

fbshipit-source-id: a7767e518da777ece058bcad480e5df1d91e9b42
2017-08-30 12:47:14 -07:00
.travis TravisCI: run Python tests 2017-07-05 10:10:04 -07:00
caffe/proto cmake: relative paths for install() 2017-08-22 09:52:09 -07:00
caffe2 data_parallel_model names fix 2017-08-30 12:47:14 -07:00
cmake @allow-large-files [caffe2] update snpe for oss 2017-08-28 15:32:23 -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 Allow caffe2 to detect if cuda lib has been linked, and also fix oss build error. 2017-08-23 18:41:15 -07:00
third_party Update gloo dependency 2017-08-25 12:01:23 -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 Include Caffe2 headers before anything else 2017-08-30 10:22:06 -07:00
LICENSE
Makefile Fix python support problems caused by building script errors. 2017-04-24 17:17:21 -07:00
PATENTS
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

Caffe2

TravisCI Build Status Appveyor 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.

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