github-actions[bot] opened a new issue, #26653:
URL: https://github.com/apache/beam/issues/26653
Performance change found in the
test: `Pytorch image classification on 50k images of size 224 x 224 with
resnet
152: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 18:57:56 2023, metric_value: `142607.70666666667`
timestamp: Tue May 9 18:51:24 2023, metric_value: `106928.74666666667`
timestamp: Mon May 8 18:53:39 2023, metric_value: `133441.93333333332`
timestamp: Sun May 7 18:46:44 2023, metric_value: `95403.09333333334`
timestamp: Sat May 6 18:47:52 2023, metric_value: `92802.56666666667`
timestamp: Thu May 4 16:50:21 2023, metric_value: `96110.20666666667`
timestamp: Wed May 3 16:53:42 2023, metric_value: `102455.02666666667`
timestamp: Tue May 2 16:47:13 2023, metric_value: `92984.48666666666`
timestamp: Mon May 1 16:48:52 2023, metric_value: `97443.42666666667`
timestamp: Sun Apr 30 16:46:49 2023, metric_value: `103260.43333333333`
timestamp: Sat Apr 29 16:50:31 2023, metric_value: `106438.3` <---- Anomaly
timestamp: Fri Apr 28 16:47:47 2023, metric_value: `106653.68`
timestamp: Thu Apr 27 16:54:56 2023, metric_value: `89355.54666666666`
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