pytorch/docker/caffe2
iotamudelta 33c7cc13ca improve docker packages, fix bugs, enable tests, enable FFT (#10893)
Summary:
* improve docker packages (install OpenBLAS to have at-compile-time LAPACK functionality w/ optimizations for both Intel and AMD CPUs)
* integrate rocFFT (i.e., enable Fourier functionality)
* fix bugs in ROCm caused by wrong warp size
* enable more test sets, skip the tests that don't work on ROCm yet
* don't disable asserts any longer in hipification
* small improvements
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10893

Differential Revision: D9615053

Pulled By: ezyang

fbshipit-source-id: 864b4d27bf089421f7dfd8065e5017f9ea2f7b3b
2018-09-02 08:54:42 -07:00
..
jenkins improve docker packages, fix bugs, enable tests, enable FFT (#10893) 2018-09-02 08:54:42 -07:00
ubuntu-14.04-cpu-all-options Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00
ubuntu-14.04-cpu-minimal Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00
ubuntu-16.04-cpu-all-options Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00
ubuntu-16.04-cpu-minimal Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00
ubuntu-16.04-cuda8-cudnn6-all-options Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00
ubuntu-16.04-cuda8-cudnn7-all-options fix caffe2 docker build (#7411) 2018-06-05 22:51:43 -04:00
ubuntu-16.04-gpu-tutorial Remove tutorials from main repository. 2018-03-29 09:31:09 -07:00
readme.md Move Caffe2 Dockerfiles to docker/caffe2 (#2430) 2018-03-27 15:51:50 -07:00

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