use non-cudnn transpose for int tensors

Summary: Turns out CuDNN's tensor transform only supports floats. Previous implementation pretended it would work with ints by casting to floats and indeed passed tests for some reason. But rgirdhar found a case where it returned nonsensical results. So rewire int-transposes to use non-cudnn version. Had to refactor a bit for that. Also added a test for the case.

Reviewed By: asaadaldien

Differential Revision: D6043284

fbshipit-source-id: cc3b14f9fbbdeff421b01da453a1d3c7c5ffd4ac
5 files changed
tree: 88298003015b3f5367e9a0c330e3bb08fa158fee
  1. .travis/
  2. caffe/
  3. caffe2/
  4. cmake/
  5. conda/
  6. docker/
  7. docs/
  8. scripts/
  9. third_party/
  10. .Doxyfile
  11. .Doxyfile-c
  12. .Doxyfile-python
  13. .gitignore
  14. .gitmodules
  15. .travis.yml
  16. appveyor.yml
  17. CMakeLists.txt
  18. LICENSE
  19. Makefile
  20. NOTICE
  21. README.md
  22. release-notes.md
README.md

Caffe2

License 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

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

Further Resources on Caffe2.ai