ray/docker
Scott Graham 7153d58cbd
Updates to azure autoscaler for authentication and dependency updates (#19603)
* updating azure autoscaler versions and backwards compatibility, and moving to azure-identity based authentication

* adding azure sdk rqmts for tests

* updating azure test requirements and adding wrapper function for azure sdk function resolution

* adding docstring to get_azure_sdk_function

Co-authored-by: Scott Graham <scgraham@microsoft.com>
2021-12-16 09:23:32 -08:00
..
autoscaler Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00
base-deps [docker] Upgrade numpy version (#20450) 2021-11-17 07:15:18 -08:00
development [docker] Fix docker 'development' build failure (#13289) 2021-02-25 14:57:30 -08:00
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 [Tune; Testing] Revert to 3.7 (undone by accident by previous PR); + some minor comment cleanups. (#20031) 2021-11-04 10:58:34 +01:00
ray-worker-container [RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535) 2021-11-03 16:24:00 +01:00
retag-lambda Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00
fix-docker-latest.sh Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00
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