ray/docker/base-deps
Alex Wu 3d668768de
[docker] Upgrade numpy version (#20450)
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## 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). 

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## 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>
2021-11-17 07:15:18 -08:00
..
Dockerfile [docker] Upgrade numpy version (#20450) 2021-11-17 07:15:18 -08:00
README.md Revert "Revert "[Docker] Support multiple CUDA Versions (#19505)" (#19756)" (#19763) 2021-10-26 17:32:56 -07:00

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 an NVIDIA 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 an Ubuntu image.
  • Tags without a suffix refer to -cpu images

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