mirror of
https://github.com/vale981/ray
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8a3e92b441
* [release tests] Pin gym everywhere (#23349) * [rllib] Pin gym everywhere (#23384) This PR Pins gym in the app config.yaml's for rllib and tune so that release tests are no longer broken by the new gym version. * [RLlib] Pin Gym Everywhere and turn off gpu for recsim tests (#23452) * [ci] Clean up ray-ml requirements (#23325) In https://github.com/ray-project/ray/blob/ray-1.11.0/docker/ray-ml/Dockerfile, the order of pip install commands currently matters (potentially a lot). It would be good to run one big pip install command to avoid ending up with a broken env. Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com> * Fix merge conflict * Also copy requirements_train.txt Co-authored-by: Avnish Narayan <38871737+avnishn@users.noreply.github.com> Co-authored-by: ddelange <14880945+ddelange@users.noreply.github.com> Co-authored-by: Amog Kamsetty <amogkam@users.noreply.github.com> |
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| .. | ||
| autoscaler | ||
| base-deps | ||
| development | ||
| examples | ||
| kuberay-autoscaler | ||
| ray | ||
| ray-deps | ||
| ray-ml | ||
| ray-worker-container | ||
| retag-lambda | ||
| fix-docker-latest.sh | ||
| README.md | ||
Overview of how the ray images are built:
Images without a "-cpu" or "-gpu" tag are built on ubuntu/focal. They are just an alias for -cpu (e.g. ray:latest is the same as ray:latest-cpu).
ubuntu/focal
└── base-deps:cpu
└── ray-deps:cpu
└── ray:cpu
└── ray-ml:cpu
nvidia/cuda
└── base-deps:gpu
└── ray-deps:gpu
└── ray:gpu
└── ray-ml:gpu