https://github.com/geyang/ml-research-containers
A list of community maintained docker images for deep reinforcement learning research
https://github.com/geyang/ml-research-containers
Last synced: 8 months ago
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A list of community maintained docker images for deep reinforcement learning research
- Host: GitHub
- URL: https://github.com/geyang/ml-research-containers
- Owner: geyang
- Created: 2022-01-14T21:03:35.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-10-31T05:14:37.000Z (about 1 year ago)
- Last Synced: 2025-01-10T12:58:11.571Z (10 months ago)
- Language: Dockerfile
- Size: 67.4 KB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# RL Docker Images
A list of community-maintained docker images for deep reinforcement learning research.
Our experience has shown that docker and singularity-based workflow works really well, to the extent that you only need to install your packages once, in a docker image, and you can deploy it directly via singularity anywhere.
## Why Upload Singularity Images
In some of the HPC systems, the file system is locked, causing images that are built within to fail.
```bash
mkdir -p /state/partition1/user/$USER
export TMPDIR=/state/partition1/user/$USER
singularity pull --docker-login docker://alpine
this works fine. And then the following line breaks:
singularity exec --nv alpine_latest.sif bash -c 'echo "hey"'
```
Actual behavior
```
INFO: Could not find any nv files on this host!
WARNING: passwd file doesn't exist in container, not updating
WARNING: group file doesn't exist in container, not updating
```
## Considerations for Building Singulairity Images
- https://stackoverflow.com/questions/61143522/file-ownership-and-permissions-in-singularity-containers
## Model-free Deep Reinforcement Learning
This image includes mujoco-py, gym, and DeepMind control. The Singularity image is built on Canon.