github-actions[bot] opened a new issue, #26036:
URL: https://github.com/apache/beam/issues/26036
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 Mar 29 17:03:16 2023, metric_value: `88855.10666666667`
timestamp: Tue Mar 28 17:00:37 2023, metric_value: `78208.60666666667`
timestamp: Mon Mar 27 16:20:43 2023, metric_value: `59108.82666666667`
timestamp: Sun Mar 26 16:19:06 2023, metric_value: `56453.84`
timestamp: Sat Mar 25 16:20:26 2023, metric_value: `56031.82`
timestamp: Fri Mar 24 16:20:49 2023, metric_value: `64514.86`
timestamp: Thu Mar 23 16:20:55 2023, metric_value: `62520.68666666667`
timestamp: Wed Mar 22 16:22:05 2023, metric_value: `60116.706666666665`
timestamp: Tue Mar 21 16:22:21 2023, metric_value: `64568.46`
timestamp: Mon Mar 20 16:21:10 2023, metric_value: `64448.49333333333`
timestamp: Sun Mar 19 16:25:17 2023, metric_value: `59676.693333333336`
<---- Anomaly
timestamp: Sat Mar 18 16:24:25 2023, metric_value: `59989.346666666665`
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