GoogleCloudPlatform / GoogleCloudPlatform/ml-auto-solutions
[DagRunListener] maxtext_end_to_end maxtext-nightly-llama2-70b-v5p-128 failed
- Dominant language
- Python
- Stars
- 64
- Forks
- 68
- Avg merge
- 8h 35m
- Merged PRs (30d)
- 27
Description
- **Run ID**: scheduled__2025-08-17T04:00:00+00:00
- **Execution Date**: 2025-08-17 04:00:00+00:00
- **Failed Task**: [maxtext-nightly-llama2-70b-v5p-128.run_model.wait_for_workload_completion](https://efdb2a1d6c2c435b8b7de77690c286a9-dot-us-central1.composer.googleusercontent.com/dags/maxtext_end_to_end/grid?dag_run_id=scheduled__2025-08-17T04%3A00%3A00%2B00%3A00&task_id=maxtext-nightly-llama2-70b-v5p-128.run_model.wait_for_workload_completion&tab=logs)
Contributor guide
Research direction
Start with the linked Composer logs for the failed wait_for_workload_completion task and review the run ID and execution date. No source file, test, or expected behavior is named, so first determine the failure cause and the affected workflow entry point. Done criteria are not specified beyond restoring the failed end-to-end run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100