https://praksharma.github.io/DeepINN/intro.html
117
An ML frameworks for inverse BC problems. Link to the repo.
Pull the image with suitable tagname:
docker push prakhars962/deepinn:tagname
The image opens a jupyter server by default.
docker run -p 8888:8888 prakhars962/deepinn:pre-release
You can override the jupyter server entrypoint using the following command.
docker run -it --entrypoint /bin/bash prakhars962/deepinn:pre-release
First install nvidia-docker using this guide.
Now run the container with nvidia-docker.
nvidia-docker run -it --entrypoint /bin/bash prakhars962/deepinn:pre-release
This command will bind the pwd to /workspace/tutorials and open a jupyter-lab with GPU support.
nvidia-docker run -v $(pwd):/workspace/tutorials -p 8888:8888 prakhars962/deepinn:pre-release
Alternatively, one can run interactive session.
nvidia-docker run -v $(pwd):/workspace/tutorials -it --entrypoint /bin/bash prakhars962/deepinn:pre-release
Each time you pull the updated image, docker will create a tagless copy of the old one.
╰─ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
prakhars962/deepinn pre-release 886808706155 4 minutes ago 6.99GB
prakhars962/deepinn <none> 0bb744f6159e 38 minutes ago 6.99GB
prakhars962/deepinn <none> 4ffbb67f8447 About an hour ago 6.8GB
prakhars962/deepinn <none> fe16ca34f9d9 About an hour ago 6.8GB
The only solution is to delete them one by one using the IMAGE_ID.
docker image rm -f IMAGE_ID
Content type
Image
Digest
sha256:f95d928b6…
Size
3.2 GB
Last updated
about 3 years ago
docker pull prakhars962/deepinn:v1.0.0