Skip to content

Update ray[default] requirement from <2.46,>=2.10.0 to >=2.10.0,<2.48 #191

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Jun 16, 2025

Updates the requirements on ray[default] to permit the latest version.

Release notes

Sourced from ray[default]'s releases.

Ray-2.47.0

Release Highlights

  • Prefill disaggregation is now supported in initial support in Ray Serve LLM (#53092). This is critical for production LLM serving use cases.
  • Ray Data features a variety of performance improvements (locality-based scheduling, non-blocking execution) as well as improvements to observability, preprocessors, and other stability fixes.
  • Ray Serve now features custom request routing algorithms, which is critical for high throughput traffic for large model use cases.

Ray Libraries

Ray Data

🎉 New Features:

  • Add save modes support to file data sinks (#52900)
  • Added flattening capability to the Concatenator preprocessor to support output vectorization use cases (#53378)

💫 Enhancements:

  • Re-enable Actor locality-based scheduling. This PR also improves algorithms for ranking the locations for the bundle. (#52861)
  • Disable blocking pipeline by default until Actor Pool fully scales up to min actors (#52754)
  • Progress bar and dashboard improvements to show name of partial functions properly(#52280)

🔨 Fixes:

  • Make Ray Data from_torch respect Dataset len (#52804)
  • Fixing flaky aggregation test (#53383)
  • Fix race condition bug in fault tolerance by disabling on_exit hook (#53249)
  • Fix move_tensors_to_device utility for the list/tuple[tensor] case (#53109)
  • Fix ActorPool scaling to avoid scaling down when the input queue is empty (#53009)
  • Fix internal queues accounting for all Operators w/ an internal queue (#52806)
  • Fix backpressure for FileBasedDatasource. This fixes potential OOMs for workloads using FileBasedDatasources (#52852)

📖 Documentation:

  • Fix working code snippets (#52748)
  • Improve AggregateFnV2 docstrings and examples (#52911)
  • Improved documentation for vectorizers and API visibility in Data (#52456)

Ray Train

🎉 New Features:

  • Added support for configuring Ray Train worker actor runtime environments. (#52421)
  • Included Grafana panel data in Ray Train export for improved monitoring. (#53072)
  • Introduced a structured logging environment variable to standardize log formats. (#52952)
  • Added metrics for TrainControllerState to enhance observability. (#52805)

💫 Enhancements:

  • Logging of controller state transitions to aid in debugging and analysis. (#53344)
  • Improved handling of Noop scaling decisions for smoother scaling logic. (#53180)

🔨 Fixes:

  • Improved move_tensors_to_device utility to correctly handle list / tuple of tensors. (#53109)

... (truncated)

Commits

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Updates the requirements on [ray[default]](https://github.com/ray-project/ray) to permit the latest version.
- [Release notes](https://github.com/ray-project/ray/releases)
- [Commits](ray-project/ray@ray-2.10.0...ray-2.47.0)

---
updated-dependencies:
- dependency-name: ray[default]
  dependency-version: 2.47.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 16, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dependencies Pull requests that update a dependency file python Pull requests that update Python code
Projects
None yet
Development

Successfully merging this pull request may close these issues.

0 participants