1.12.1
Ray-1.12.1
Added 1
- Resume building ray-ml Docker images for CPU after they were stopped in Ray 1.9
Fixed 5
- Fix bug with memory limit fetching when running Ray in a container, allowing Ray to work on Google Colab again
- Fix MLflow run to start under the correct experiment for Ray Train and Ray Tune integrations
- Fix APPO in eager mode for RLlib
- Fix Alphastar for TF2 with tracing enabled in RLlib
- Fix replica leak in anonymous namespaces for Ray Serve
Patch release with the following fixes:
- Ray now works on Google Colab again! The bug with memory limit fetching when running Ray in a container is now fixed (https://github.com/ray-project/ray/pull/23922).
ray-mlDocker images for CPU will start being built again after they were stopped in Ray 1.9 (https://github.com/ray-project/ray/pull/24266).- [Train/Tune] Start MLflow run under the correct experiment for Ray Train and Ray Tune integrations (https://github.com/ray-project/ray/pull/23662).
- [RLlib] Fix for APPO in eager mode (https://github.com/ray-project/ray/pull/24268).
- [RLlib] Fix Alphastar for TF2 and tracing enabled (https://github.com/ray-project/ray/commit/c5502b2aa57376b26408bb297ff68696c16f48f1).
- [Serve] Fix replica leak in anonymous namespaces (https://github.com/ray-project/ray/pull/24311).