Repository navigation
Conversation
RayJobConfig(existing_cluster=<name>) runs the task as a Ray job on an existing KubeRay RayCluster in the execution namespace instead of creating one. The name is sent in the task config key ray.existing_cluster, custom omits ray_cluster, and ray.init() connects to the cluster the job driver runs on. Cluster settings that only apply to a cluster the task creates are rejected together with existing_cluster: worker and head config, autoscaling, shutdown and TTL, address and reuse policies. address is documented as deprecated in favour of existing_cluster.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
RayJobConfig(existing_cluster=) runs the task as a Ray job on an existing KubeRay RayCluster in the execution namespace instead of creating one. The name is sent in the task config key ray.existing_cluster, custom omits ray_cluster, and ray.init() connects to the cluster the job driver runs on.
Cluster settings that only apply to a cluster the task creates are rejected together with existing_cluster: worker and head config, autoscaling, shutdown and TTL, address and reuse policies. address is documented as deprecated in favour of existing_cluster.