tree: edb9608aaba8a2e4b107016fa2d93ff6d9b68f18 [path history] [tgz]
  1. ubuntu-14.04-cpu-all-options/
  2. ubuntu-14.04-cpu-minimal/
  3. ubuntu-16.04-cpu-all-options/
  4. ubuntu-16.04-cpu-minimal/
  5. ubuntu-16.04-cuda8-cudnn6-all-options/
  6. ubuntu-16.04-cuda8-cudnn7-all-options/
  7. ubuntu-16.04-gpu-tutorial/
  8. readme.md
docker/readme.md

Docker & Caffe2

Note: use nvidia-docker to run all GPU builds.

To get the latest source, rerun the docker builds using the Dockerfiles.

Docker images at https://hub.docker.com/r/caffe2ai/caffe2/ are a few months old, but will be refreshed soon.

Build like: docker build -t caffe2:cuda8-cudnn6-all-options .

Run like: nvidia-docker run --rm -it caffe2:cuda8-cudnn6-all-options python -m caffe2.python.operator_test.relu_op_test

For Docker on USB related instructions you can find some help on the gh-pages branch here