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History

Xuehai Pan 135c7db99d Use absolute path `path.resolve()` -> `path.absolute()` (#129409 ) Changes: 1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()` 2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory. Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409 Approved by: https://github.com/albanD		2024-12-24 08:33:08 +00:00
..
__init__.py
check_disabled_tests.py
export_test_times.py	Use absolute path `path.resolve()` -> `path.absolute()` (#129409 )	2024-12-24 08:33:08 +00:00
import_test_stats.py	Use absolute path `path.resolve()` -> `path.absolute()` (#129409 )	2024-12-24 08:33:08 +00:00
monitor.py	Fix unused Python variables outside torch/ and test/ (#136359 )	2024-12-11 17:10:23 +00:00
README.md
sccache_stats_to_benchmark_format.py	Use absolute path `path.resolve()` -> `path.absolute()` (#129409 )	2024-12-24 08:33:08 +00:00
test_dashboard.py	Upload all run attempts when in upload_test_stats_intermediate (#140459 )	2024-11-18 21:40:10 +00:00
upload_artifacts.py	Use absolute path `path.resolve()` -> `path.absolute()` (#129409 )	2024-12-24 08:33:08 +00:00
upload_dynamo_perf_stats.py
upload_external_contrib_stats.py
upload_metrics.py
upload_sccache_stats.py
upload_stats_lib.py
upload_test_stats.py
upload_test_stats_intermediate.py	Upload all run attempts when in upload_test_stats_intermediate (#140459 )	2024-11-18 21:40:10 +00:00
upload_test_stats_running_jobs.py	Continuous job for pulling artifacts and doing upload (#140453 )	2024-11-20 20:41:52 +00:00

README.md

PyTorch CI Stats

We track various stats about each CI job.

Jobs upload their artifacts to an intermediate data store (either GitHub Actions artifacts or S3, depending on what permissions the job has). Example: a9f6a35a33/.github/workflows/_linux-build.yml (L144-L151)
When a workflow completes, a workflow_run event triggers upload-test-stats.yml.
upload-test-stats downloads the raw stats from the intermediate data store and uploads them as JSON to s3, which then uploads to our database 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--> s3[(s3)]
    s3 --> DB[(database)]

Why this weird indirection? Because writing to the database 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