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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Summary: Historically, for interface dependent libraries (glog, gflags and protobuf), exposing them in Caffe2Config.cmake is usually difficult. New versions of glog and gflags ship with new-style cmake targets, so one does not need to use variables. New-style targets also make it easier for people to depend on them in installed config files. This diff modernizes the gflags library, and still provides a fallback path if the installed gflags does not have cmake config files coming with it. It does change one behavior of the build process though - when one specifies -DUSE_GFLAGS=ON but gflags cannot be found, the old script automatically turns it off but the new script crashes, forcing the user to specify USE_GFLAGS=OFF. Closes https://github.com/caffe2/caffe2/pull/1819 Differential Revision: D6826604 Pulled By: Yangqing fbshipit-source-id: 210f3926f291c8bfeb24eb9671e5adfcbf8cf7fe |
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| .travis | ||
| caffe/proto | ||
| caffe2 | ||
| cmake | ||
| conda | ||
| docker | ||
| docs | ||
| modules | ||
| scripts | ||
| third_party | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| .travis.yml | ||
| appveyor.yml | ||
| CMakeLists.txt | ||
| LICENSE | ||
| Makefile | ||
| NOTICE | ||
| README.md | ||
| release-notes.md | ||
| setup.py | ||
| VERSION_NUMBER | ||
Caffe2
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/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
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License
Caffe2 is released under the Apache 2.0 license. See the NOTICE file for details.