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pytorch/docker/caffe2
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Xiang Gao 8e93159fb6 CUDA 8 cleanup (#32013) 
Summary:
CUDA 8 is no longer supported
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32013

Differential Revision: D19372963

Pulled By: ezyang

fbshipit-source-id: e584d7d5d5908933221ea4400234b3e6e7c32e7a
2020-01-13 08:48:48 -08:00
..
jenkins Revert "Support PyTorch ROCm CI on Ubuntu18.04 (#31886)" (#31946) 2020-01-12 14:04:38 -08:00
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-gpu-tutorial
readme.md

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