github-actions[bot] opened a new issue, #26881:
URL: https://github.com/apache/beam/issues/26881
Performance change found in the
test: `Pytorch image classification on 50k images of size 224 x 224 with
resnet 152 with Tesla T4
GPU: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 24 20:16:47 2023, metric_value: `133549.5892857143`
timestamp: Tue May 23 20:17:12 2023, metric_value: `139893.61111111112`
timestamp: Mon May 22 20:15:16 2023, metric_value: `125453.5`
timestamp: Sun May 21 20:13:47 2023, metric_value: `139736.2`
timestamp: Sat May 20 20:11:23 2023, metric_value: `111102.85714285714`
timestamp: Fri May 19 20:14:41 2023, metric_value: `113992.05357142857`
timestamp: Thu May 18 20:12:50 2023, metric_value: `138409.43636363637`
timestamp: Wed May 17 20:15:18 2023, metric_value: `109141.42857142857`
timestamp: Tue May 16 20:23:10 2023, metric_value: `127389.48214285714`
timestamp: Sun May 14 20:10:07 2023, metric_value: `117647.72727272728`
timestamp: Sat May 13 20:11:10 2023, metric_value: `116345.75` <---- Anomaly
timestamp: Fri May 12 20:13:53 2023, metric_value: `114928.48214285714`
timestamp: Thu May 11 20:15:57 2023, metric_value: `122727.23636363636`
timestamp: Wed May 10 20:23:13 2023, metric_value: `130366.82142857143`
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