Start GPU (CUDA) container Install nvidia-docker and run
$ nvidia-docker run -it --rm -v local_dir:container_dir sfexpress/mxnet:<xx.xx>
Where: -it means run in interactive mode
--rm will delete the container when finished
-v is the mounting directory
local_dir is the directory or file from your host system (absolute path) that you want to access from inside your container. For example, the local_dir in the following path is /home/jsmith/data/mnist. -v /home/jsmith/data/mnist:/data/mnist If you are inside the container, for example, ls /data/mnist, you will see the same files as if you issued the ls /home/jsmith/data/mnist command from outside the container.
container_dir is the target directory when you are inside your container. For example, /data/mnist is the target directory in the example: -v /home/jsmith/data/mnist:/data/mnist
<xx.xx> is the container version. For example, cuda9-py3-centos7.
Content type
Image
Digest
Size
2.4 GB
Last updated
about 8 years ago
docker pull sfexpress/mxnet:cuda9-py3-centos7