Tensors and Dynamic neural networks in Python with strong GPU acceleration
Find a file
Kittipat Virochsiri 7d2b2cae19 Remove OFFLINE_TRAINING from global constant
Summary: This is not a very generic constant

Reviewed By: volkhin

Differential Revision: D5870378

fbshipit-source-id: 59509bb48cecb52ba4a3f26b290855374547fe7e
2017-09-20 12:03:21 -07:00
.travis Fix travis build system by adding sudo 2017-09-08 12:21:22 -07:00
caffe/proto cmake: relative paths for install() 2017-08-22 09:52:09 -07:00
caffe2 Remove OFFLINE_TRAINING from global constant 2017-09-20 12:03:21 -07:00
cmake Make Gloo depend on Caffe2 NCCL build 2017-09-06 15:37:10 -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 cub to master 2017-09-18 14:17:35 -07:00
.Doxyfile Fix a few typos and grammars in comment 2017-06-14 18:22:39 -07:00
.Doxyfile-c
.Doxyfile-python
.gitignore Added Ninja generator support on Windows 2017-07-26 00:32:20 -07:00
.gitmodules Remove references to cnmem 2017-09-12 14:37:12 -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
CMakeLists.txt move cmake_uninstall.cmake.in into cmake/ subfolder 2017-09-05 10:02:18 -07:00
LICENSE
Makefile
PATENTS
README.md updated research proposal link 2017-07-24 08:56:02 -07:00
release-notes.md

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