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pytorch/docker/caffe2
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Jeff Daily 049c1b97be pin numpy version to 1.18.5 (#42670) 
Summary:
Using numpy 1.19.x instead of 1.18.x breaks certain unit tests.
Fixes https://github.com/pytorch/pytorch/issues/42561.  Likely also fixes https://github.com/pytorch/pytorch/issues/42583.

CC ezyang xw285cornell sunway513

Pull Request resolved: https://github.com/pytorch/pytorch/pull/42670

Reviewed By: ezyang

Differential Revision: D22978369

Pulled By: malfet

fbshipit-source-id: ce1f35c7ba620c2b9dd10613f39354cebee8b87d
2020-08-06 10:01:56 -07:00
..
jenkins pin numpy version to 1.18.5 (#42670) 2020-08-06 10:01:56 -07:00
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