AnandInguva opened a new issue, #24847:
URL: https://github.com/apache/beam/issues/24847
Performance change found in the
test:
`apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks_22`
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: Sat Dec 17 16:54:01 2022, metric_value: `97628.54`
timestamp: Fri Dec 16 16:56:51 2022, metric_value: `96672.42666666667`
timestamp: Thu Dec 15 16:53:11 2022, metric_value: `104591.26`
timestamp: Wed Dec 14 16:56:42 2022, metric_value: `108879.96`
timestamp: Tue Dec 13 16:53:29 2022, metric_value: `116157.17333333334`
timestamp: Mon Dec 12 16:55:39 2022, metric_value: `107796.69333333333`
timestamp: Sun Dec 11 16:54:38 2022, metric_value: `111908.9`
timestamp: Sat Dec 10 16:58:10 2022, metric_value: `107900.74`
timestamp: Fri Dec 9 16:56:08 2022, metric_value: `106021.94`
timestamp: Thu Dec 8 16:55:37 2022, metric_value: `107807.34666666666`
timestamp: Wed Dec 7 16:57:05 2022, metric_value: `106788.94` <---- Anomaly
timestamp: Tue Dec 6 16:55:53 2022, metric_value: `112162.67333333334`
timestamp: Mon Dec 5 16:55:01 2022, metric_value: `112656.33333333333`
timestamp: Sun Dec 4 16:54:55 2022, metric_value: `111517.0`
timestamp: Sat Dec 3 16:55:05 2022, metric_value: `120645.27333333333`
timestamp: Fri Dec 2 16:57:08 2022, metric_value: `109179.68`
timestamp: Thu Dec 1 16:54:21 2022, metric_value: `111348.03333333334`
timestamp: Wed Nov 30 16:55:38 2022, metric_value: `138255.18666666668`
timestamp: Tue Nov 29 17:15:51 2022, metric_value: `127745.75333333333`
timestamp: Tue Nov 29 17:02:49 2022, metric_value: `134328.98666666666`
timestamp: Mon Nov 28 16:56:35 2022, metric_value: `133028.40666666668`
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