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Tensors and Dynamic neural networks in Python with strong GPU acceleration
382 commits 5021 branches 1206 tags 1 GiB
Python 56.8%
C++ 35%
Cuda 3%
C 1.5%
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Simon Layton a2b31cf9e2 Install fixes 
Fix paths, __init__.py initialization
Other assorted fixes
2016-12-21 09:14:04 -05:00
caffe/proto Install fixes 2016-12-21 09:14:04 -05:00
caffe2 Install fixes 2016-12-21 09:14:04 -05:00
cmake Correction to paths to find cuDNN 2016-12-16 16:03:23 -05:00
docs chunky sync 2016-05-13 14:43:48 -07:00
third_party Refactored CUDA detection a bit 2016-12-13 09:29:01 -05:00
.Doxyfile Adding optional Eigen code. Added a switch USE_SYSTEM_EIGEN in Env. Misc changes. 2015-10-18 16:55:24 -07:00
.gitignore Adding optional Eigen code. Added a switch USE_SYSTEM_EIGEN in Env. Misc changes. 2015-10-18 16:55:24 -07:00
.gitmodules nervana build files 2016-10-07 18:37:26 -07:00
build.py nervana build files 2016-10-07 18:37:26 -07:00
build_android.py fbsync 2016-10-07 15:47:52 -07:00
build_android_prepare.py fbsync 2016-10-07 15:47:52 -07:00
CMakeLists.txt Install fixes 2016-12-21 09:14:04 -05:00
LICENSE fbsync. TODO: check if build files need update. 2016-11-15 00:00:46 -08:00
Makefile more build updates: 2016-08-02 23:28:23 -07:00
README.md Added basic build system 2016-12-13 09:29:01 -05:00

README.md

Caffe2

Caffe2 is a deep learning framework made with expression, speed, and modularity in mind. It is an experimental refactoring of Caffe, and allows a more flexible way to organize computation.

Read the installation instructions for installation details.

License and Citation

Caffe2 is released under the BSD 2-Clause license.

Building Caffe2

git clone https://github.com/caffe2/caffe2
cd caffe2 && mkdir bin
cd bin && cmake ..
make