support appending net and converting them

Summary:
As per rushabhmshah99 request: he wants to append a pre-trained model (without training that) to the model.
So added data_parallel_model.ConvertNetForDevice() to enable that. The unit test shows example how to use this with
AppendNet, and I also added a blurb to the function.

Differential Revision: D5503335

fbshipit-source-id: b2a5db5c1739dc97f46dd0d7606ed555d99255b8
2 files changed
tree: bd0ab811d4e83f544bf4b0af87b86c2fd1d7c162
  1. .travis/
  2. caffe/
  3. caffe2/
  4. cmake/
  5. docs/
  6. scripts/
  7. third_party/
  8. .Doxyfile
  9. .Doxyfile-c
  10. .Doxyfile-python
  11. .gitignore
  12. .gitmodules
  13. .travis.yml
  14. appveyor.yml
  15. CMakeLists.txt
  16. LICENSE
  17. Makefile
  18. PATENTS
  19. README.md
  20. release-notes.md
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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Caffe2 is released under the BSD 2-Clause license.

Further Resources on Caffe2.ai