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![]() <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. --> ## Why are these changes needed? The change in #20374 was interpreted as a file redirect, not a "greater than" by docker (strangely enough, differently than bash interprets it locally). <!-- Please give a short summary of the change and the problem this solves. --> ## Related issue number <!-- For example: "Closes #1234" --> ## Checks - [ ] I've run `scripts/format.sh` to lint the changes in this PR. - [ ] I've included any doc changes needed for https://docs.ray.io/en/master/. - [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/ - Testing Strategy - [ ] Unit tests - [ ] Release tests - [ ] This PR is not tested :( Co-authored-by: Alex <alex@anyscale.com> |
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About
This is an internal image, the rayproject/ray
or rayproject/ray-ml
should be used!
This image has the system-level dependencies for Ray
and the Ray Autoscaler
. The ray-deps
image is built on top of this. This image is built periodically or when dependencies are added. Find the Dockerfile here.
Tags
:latest
- The most recent Ray release.:1.x.x
- A specific release build.:nightly
- The most recent nightly build.:DATE
- A specific build.
Suffixes
-cuXXX
- These are based off of anNVIDIA CUDA
image. They require the Nvidia Docker Runtime to be installed on the host for the container to access GPUs.-cpu
- These are based off of anUbuntu
image.- Tags without a suffix refer to
-cpu
images
Other Images
-
rayproject/ray
- Ray and all of its dependencies. -
rayproject/ray-ml
- This image with common ML libraries to make development & deployment more smooth! -
rayproject/ray-deps
- Internal image with python-level dependencies.