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ray/docker/ray-ml
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ddelange e109c13b83
[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>
2022-03-25 15:59:54 +00:00
..
Dockerfile [ci] Clean up ray-ml requirements (#23325) 2022-03-25 15:59:54 +00:00
README.md [Docker] Alias ray-ml:nightly to ray-ml:nightly-gpu (#19726) 2021-10-27 11:30:49 -07:00

README.md

About

This image is an extension of the rayproject/ray image. It includes all extended requirements of RLlib, Serve and Tune. It is a well-provisioned starting point for trying out the Ray ecosystem. Find the Dockerfile here.

Tags

  • :latest - The most recent Ray release.
  • :1.x.x - A specific release build.
  • :nightly - The most recent nightly build.
  • :SHA - A specific nightly build.

Suffixes

  • -gpu - These are based off of an NVIDIA CUDA image. They require the Nvidia Docker Runtime to be installed on the host for the container to access GPUs.
  • Tags without a suffix refer to -gpu image

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