AnandInguva opened a new issue, #24848:
URL: https://github.com/apache/beam/issues/24848
Performance change found in the
test:
`apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks`
for the metric: `mean_load_model_latency_milli_secs`.
For more information on how to triage the alerts, please look at
`Triage performance alert issues` section of the
[README](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/testing/analyzers/README.md#triage-performance-alert-issues).
timestamp: Wed Dec 14 16:24:37 2022, metric_value: `71520.78`
timestamp: Tue Dec 13 16:23:34 2022, metric_value: `77236.50666666667`
timestamp: Mon Dec 12 16:23:54 2022, metric_value: `68314.40666666666`
timestamp: Sun Dec 11 16:24:17 2022, metric_value: `78502.89333333333`
timestamp: Sat Dec 10 16:27:48 2022, metric_value: `67574.36666666667`
timestamp: Fri Dec 9 16:24:14 2022, metric_value: `71533.01333333334`
timestamp: Thu Dec 8 16:24:26 2022, metric_value: `73099.18`
timestamp: Wed Dec 7 16:24:07 2022, metric_value: `67996.0`
timestamp: Tue Dec 6 16:24:29 2022, metric_value: `66953.93333333333`
timestamp: Mon Dec 5 16:23:55 2022, metric_value: `74310.42666666667`
timestamp: Sun Dec 4 16:24:23 2022, metric_value: `73125.88` <---- Anomaly
timestamp: Sat Dec 3 16:24:26 2022, metric_value: `78189.8`
timestamp: Fri Dec 2 16:24:54 2022, metric_value: `75176.89333333333`
timestamp: Thu Dec 1 16:23:22 2022, metric_value: `70111.06`
timestamp: Wed Nov 30 16:24:11 2022, metric_value: `83355.67333333334`
timestamp: Tue Nov 29 16:44:57 2022, metric_value: `71233.38666666667`
timestamp: Tue Nov 29 16:25:01 2022, metric_value: `82540.06666666667`
timestamp: Mon Nov 28 16:24:17 2022, metric_value: `81792.24`
timestamp: Sun Nov 27 16:24:30 2022, metric_value: `78198.56666666667`
timestamp: Sat Nov 26 16:23:14 2022, metric_value: `80424.64`
timestamp: Fri Nov 25 16:24:01 2022, metric_value: `78865.02`
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