github-actions[bot] opened a new issue, #35389:
URL: https://github.com/apache/beam/issues/35389

   
     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: Thu Jun 19 09:08:15 2025, metric_value: 112876.67
   timestamp: Tue Jun 17 09:12:12 2025, metric_value: 114986.63
   timestamp: Mon Jun 16 08:43:09 2025, metric_value: 118474.02
   timestamp: Sun Jun 15 08:54:59 2025, metric_value: 114249.18
   timestamp: Fri Jun 13 08:54:41 2025, metric_value: 120828.11
   timestamp: Thu Jun 12 08:45:38 2025, metric_value: 99725.67
   timestamp: Wed Jun 11 08:37:57 2025, metric_value: 128034.51
   timestamp: Tue Jun 10 08:46:06 2025, metric_value: 119073.65
   timestamp: Mon Jun  9 08:20:02 2025, metric_value: 103403.60
   timestamp: Sun Jun  8 08:24:56 2025, metric_value: 108381.00
   timestamp: Sat Jun  7 08:19:43 2025, metric_value: 131056.33 <---- Anomaly
   timestamp: Fri Jun  6 08:34:18 2025, metric_value: 103911.11
   timestamp: Thu Jun  5 08:43:43 2025, metric_value: 92564.28
   timestamp: Wed Jun  4 21:23:21 2025, metric_value: 134416.49
   timestamp: Wed Jun  4 08:35:28 2025, metric_value: 85108.17
   timestamp: Tue Jun  3 08:20:18 2025, metric_value: 137965.38
   timestamp: Mon Jun  2 08:50:23 2025, metric_value: 92432.11
   timestamp: Sun Jun  1 08:45:15 2025, metric_value: 109187.20
   timestamp: Sat May 31 08:59:08 2025, metric_value: 97962.86
   timestamp: Fri May 30 08:54:22 2025, metric_value: 84882.21
   timestamp: Thu May 29 08:51:27 2025, metric_value: 103993.33
   
   ```


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