Mark full sync data parallel ops with rules

Instead of using hard-coded rules or rely on gpu_strategy to mark full sync data parallel ops, we need some generic rules that is applicable to both the single and distributed setting.
1 file changed
tree: 001e3e8953038def2fc135669d0eeeaed43f4341
  1. .github/
  2. .jenkins/
  3. .travis/
  4. binaries/
  5. caffe/
  6. caffe2/
  7. cmake/
  8. conda/
  9. docker/
  10. docs/
  11. modules/
  12. scripts/
  13. third_party/
  14. .gitattributes
  15. .gitignore
  16. .gitmodules
  17. .travis.yml
  18. appveyor.yml
  19. CMakeLists.txt
  20. LICENSE
  21. Makefile
  22. NOTICE
  23. README.md
  24. release-notes.md
  25. setup.py
  26. VERSION_NUMBER
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.

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License

Caffe2 is released under the Apache 2.0 license. See the NOTICE file for details.

Further Resources on Caffe2.ai