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https://github.com/zebrajr/pytorch.git
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b19bbde561
Summary: Continues https://github.com/pytorch/pytorch/pull/28431 with a new branch name that can trigger all the CI https://github.com/pytorch/pytorch/issues/28059 pytorch/ossci-job-dsl@b2c823a Pull Request resolved: https://github.com/pytorch/pytorch/pull/28465 Differential Revision: D18104647 Pulled By: bddppq fbshipit-source-id: 24decf44bdf73bd8a9c64d5fcaf34eec7a356f6e |
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| ubuntu-14.04-cpu-all-options | ||
| ubuntu-14.04-cpu-minimal | ||
| ubuntu-16.04-cpu-all-options | ||
| ubuntu-16.04-cpu-minimal | ||
| ubuntu-16.04-cuda8-cudnn6-all-options | ||
| ubuntu-16.04-cuda8-cudnn7-all-options | ||
| ubuntu-16.04-gpu-tutorial | ||
| 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