github-actions[bot] opened a new issue, #26609:
URL: https://github.com/apache/beam/issues/26609
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_inference_batch_latency_micro_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: Tue May 9 18:22:52 2023, metric_value: `4803937.835805306`
timestamp: Mon May 8 18:23:35 2023, metric_value: `4634416.214853557`
timestamp: Sun May 7 18:20:07 2023, metric_value: `4731793.281561462`
timestamp: Sat May 6 18:20:51 2023, metric_value: `4554500.631706824`
timestamp: Fri May 5 18:21:43 2023, metric_value: `4656072.706212342`
timestamp: Thu May 4 16:23:43 2023, metric_value: `4706739.303571428`
timestamp: Wed May 3 16:25:35 2023, metric_value: `4568668.6625556005`
timestamp: Tue May 2 16:21:05 2023, metric_value: `5177797.564334086`
timestamp: Mon May 1 16:22:14 2023, metric_value: `4630509.519266055`
timestamp: Sun Apr 30 16:20:00 2023, metric_value: `5181583.822574013`
timestamp: Sat Apr 29 16:22:45 2023, metric_value: `4574290.109223301` <----
Anomaly
timestamp: Fri Apr 28 16:20:03 2023, metric_value: `5160624.958878887`
timestamp: Thu Apr 27 16:28:22 2023, metric_value: `4637369.063873486`
timestamp: Wed Apr 26 16:21:28 2023, metric_value: `5046134.259168704`
timestamp: Tue Apr 25 16:21:44 2023, metric_value: `5139612.371000821`
timestamp: Mon Apr 24 16:23:03 2023, metric_value: `5269339.890301415`
timestamp: Sun Apr 23 16:20:40 2023, metric_value: `5065012.217382537`
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