github-actions[bot] opened a new issue, #37171:
URL: https://github.com/apache/beam/issues/37171
Performance change found in the
test:
`pytorch_image_classification_benchmarks-resnet152-GPU-mean_inference_batch_latency_micro_secs`
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).
`Test description:` Pytorch image classification on 50k images of size 224 x
224 with resnet 152 with Tesla T4 GPU.
Test link -
https://github.com/apache/beam/blob/42d0a6e3564d8b9c5d912428a6de18fb22a13ac1/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L151).
Test dashboard -
http://metrics.beam.apache.org/d/ZpS8Uf44z/python-ml-runinference-benchmarks?from=now-90d&to=now&viewPanel=2
```
timestamp: Mon Dec 22 10:04:44 2025, metric_value: 191575.26
timestamp: Sun Dec 21 09:39:48 2025, metric_value: 204125.69
timestamp: Sat Dec 20 09:57:17 2025, metric_value: 198510.44 <---- Anomaly
timestamp: Fri Dec 19 10:33:47 2025, metric_value: 132726.05
timestamp: Thu Dec 18 10:07:15 2025, metric_value: 121803.73
timestamp: Wed Dec 17 09:54:09 2025, metric_value: 167888.23
timestamp: Mon Dec 15 10:09:35 2025, metric_value: 144108.35
timestamp: Sun Dec 14 10:27:23 2025, metric_value: 182123.93
timestamp: Fri Dec 12 09:51:24 2025, metric_value: 183383.95
timestamp: Thu Dec 11 09:49:56 2025, metric_value: 118511.65
timestamp: Wed Dec 10 09:44:14 2025, metric_value: 104418.46
timestamp: Tue Dec 9 09:24:34 2025, metric_value: 156529.60
timestamp: Mon Dec 8 09:24:37 2025, metric_value: 171624.29
```
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