Add DAG for verifying TensorCore utilization metrics with jobset monitoring#1119
Draft
chengpinglin wants to merge 1 commit intoGoogleCloudPlatform:masterfrom
Draft
Add DAG for verifying TensorCore utilization metrics with jobset monitoring#1119chengpinglin wants to merge 1 commit intoGoogleCloudPlatform:masterfrom
chengpinglin wants to merge 1 commit intoGoogleCloudPlatform:masterfrom
Conversation
…toring This PR introduces a new DAG, `jobset_uptime_validation`, designed to automate the functional testing and verification of JobSet uptime metrics on GKE TPU clusters. - Workload Execution JobSet Deployment: Deploys a JobSet with 4 completions and 1 replica. It uses the tpu-info:v0.5.1 image to run a JAX benchmark. - Metric Validation Logic The validation is split into two phases: Positive Test (Wait for Uptime): Objective: Confirms that the uptime metric is successfully exported to Cloud Monitoring after the JobSet is applied. Negative Test (Verify No Data): Objective: Ensures that no "ghost data" or incorrect historical values persist during stability checks.
chengpinglin
requested review from
alfredyu-cienet,
andrewyct,
severus-ho and
xibinliu
as code owners
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Description
This PR introduces a new DAG, jobset_uptime_validation, designed to automate the functional testing and verification of JobSet uptime metrics on GKE TPU clusters.
Workload Execution
JobSet Deployment: Deploys a JobSet with 4 completions and 1 replica. It uses the tpu-info:v0.5.1 image to run a JAX benchmark.
Metric Validation Logic
The validation is split into two phases:
Positive Test (Wait for Uptime)
Objective: Confirms that the uptime metric is successfully exported to Cloud Monitoring after the JobSet is applied.
Negative Test (Verify No Data)
Objective: Ensures that no "ghost data" or incorrect historical values persist during stability checks.
Tests
cloud-ml-auto-solutions)2.13.1Checklist
Before submitting this PR, please make sure (put X in square brackets):