github-actions[bot] opened a new issue, #26654:
URL: https://github.com/apache/beam/issues/26654
Performance change found in the
test: `Pytorch image classification on 50k images of size 224 x 224 with
resnet
101: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 May 10 18:27:53 2023, metric_value: `89488.28666666667`
timestamp: Tue May 9 18:22:52 2023, metric_value: `59358.806666666664`
timestamp: Mon May 8 18:23:35 2023, metric_value: `93071.99333333333`
timestamp: Sun May 7 18:20:07 2023, metric_value: `64500.17333333333`
timestamp: Sat May 6 18:20:51 2023, metric_value: `69655.7`
timestamp: Fri May 5 18:21:43 2023, metric_value: `64360.1`
timestamp: Thu May 4 16:23:43 2023, metric_value: `63290.10666666667`
timestamp: Wed May 3 16:25:35 2023, metric_value: `73810.93333333333`
timestamp: Tue May 2 16:21:05 2023, metric_value: `64662.16`
timestamp: Mon May 1 16:22:14 2023, metric_value: `72577.58`
timestamp: Sun Apr 30 16:20:00 2023, metric_value: `66137.75333333333` <----
Anomaly
timestamp: Sat Apr 29 16:22:45 2023, metric_value: `64453.86`
timestamp: Fri Apr 28 16:20:03 2023, metric_value: `67680.56`
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