github-actions[bot] opened a new issue, #35955:
URL: https://github.com/apache/beam/issues/35955
Performance change found in the
test:
`pytorch_image_classification_benchmarks-resnet152-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.
Test link -
https://github.com/apache/beam/blob/42d0a6e3564d8b9c5d912428a6de18fb22a13ac1/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L63
Test dashboard -
http://metrics.beam.apache.org/d/ZpS8Uf44z/python-ml-runinference-benchmarks?orgId=1&viewPanel=2
```
timestamp: Mon Aug 25 08:03:53 2025, metric_value: 7550819.34
timestamp: Sun Aug 24 07:47:00 2025, metric_value: 7521305.24
timestamp: Sat Aug 23 08:05:48 2025, metric_value: 6846104.27
timestamp: Fri Aug 22 07:58:01 2025, metric_value: 7512176.61 <---- Anomaly
timestamp: Thu Aug 21 07:57:05 2025, metric_value: 6848384.55
timestamp: Wed Aug 20 07:48:05 2025, metric_value: 6803341.38
timestamp: Tue Aug 19 08:07:21 2025, metric_value: 6943085.16
timestamp: Mon Aug 18 07:56:11 2025, metric_value: 6948497.48
timestamp: Sun Aug 17 08:17:17 2025, metric_value: 6722804.10
timestamp: Fri Aug 15 08:05:45 2025, metric_value: 6759751.77
timestamp: Thu Aug 14 07:46:11 2025, metric_value: 6814822.16
timestamp: Wed Aug 13 08:02:59 2025, metric_value: 7293624.88
timestamp: Tue Aug 12 06:35:56 2025, metric_value: 6851532.59
timestamp: Mon Aug 11 06:57:37 2025, metric_value: 6867275.12
```
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