ray/docker
Ian Rodney 46a9574c84
[Docker] Explain how to update tagging lambda (#24862)
Explains how to replace the existing lambda when the code changes.
2022-05-16 16:16:49 -07:00
..
autoscaler Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00
base-deps remove unmaintained blist (#23957) 2022-04-17 16:06:04 -07:00
development [ci] Clean up ci/ directory (refactor ci/travis) (#23866) 2022-04-13 18:11:30 +01:00
examples [RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535) 2021-11-03 16:24:00 +01:00
ray [docs] Fix broken links in documentation and add linkcheck to documentation (#20030) 2021-11-04 13:19:43 -07:00
ray-deps Updates to azure autoscaler for authentication and dependency updates (#19603) 2021-12-16 09:23:32 -08:00
ray-ml [ci] Fix GPU docker builds (#24336) 2022-04-29 17:10:18 +01:00
ray-worker-container remove unmaintained blist (#23957) 2022-04-17 16:06:04 -07:00
retag-lambda [Docker] Explain how to update tagging lambda (#24862) 2022-05-16 16:16:49 -07:00
fix-docker-latest.sh [Docker] Update echo in fix-docker-latest.sh (#22123) 2022-02-07 08:50:36 -08:00
README.md [CI] Fix-Up Docker Build (Use Python) (#11139) 2020-10-12 14:22:51 -07:00

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