mirror of
https://github.com/saymrwulf/pytorch.git
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3288da064f
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/26704 nccl 2.1.15 isn't available for CUDA 10.1 and 2.4.8 isn't available for cuda 9.1 :( ghstack-source-id: 90714191 Test Plan: build docker images on Jenkins Differential Revision: D17543120 fbshipit-source-id: 882c5a005a9a3ef78f9209dea9dcec1782060b25 |
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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