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android / platform / external / pytorch / 197612c84c / . / tools / stats
tree: 030375502b4da228c6d836eace91c2a10b2cc9a3 [path history] [tgz]
  1. __init__.py
  2. check_disabled_tests.py
  3. export_test_times.py
  4. import_test_stats.py
  5. monitor.py
  6. README.md
  7. test_dashboard.py
  8. upload_artifacts.py
  9. upload_dynamo_perf_stats.py
  10. upload_external_contrib_stats.py
  11. upload_metrics.py
  12. upload_sccache_stats.py
  13. upload_stats_lib.py
  14. upload_test_stat_aggregates.py
  15. upload_test_stats.py
tools/stats/README.md

PyTorch CI Stats

We track various stats about each CI job.

  1. Jobs upload their artifacts to an intermediate data store (either GitHub Actions artifacts or S3, depending on what permissions the job has). Example: https://github.com/pytorch/pytorch/blob/a9f6a35a33308f3be2413cc5c866baec5cfe3ba1/.github/workflows/_linux-build.yml#L144-L151
  2. When a workflow completes, a workflow_run event triggers upload-test-stats.yml.
  3. upload-test-stats downloads the raw stats from the intermediate data store and uploads them as JSON to Rockset, our metrics backend.
graph LR
    J1[Job with AWS creds<br>e.g. linux, win] --raw stats--> S3[(AWS S3)]
    J2[Job w/o AWS creds<br>e.g. mac] --raw stats--> GHA[(GH artifacts)]

    S3 --> uts[upload-test-stats.yml]
    GHA --> uts

    uts --json--> R[(Rockset)]

Why this weird indirection? Because writing to Rockset requires special permissions which, for security reasons, we do not want to give to pull request CI. Instead, we implemented GitHub's recommended pattern for cases like this.

For more details about what stats we export, check out upload-test-stats.yml