github-actions[bot] commented on issue #33704:
URL: https://github.com/apache/beam/issues/33704#issuecomment-2641182202

   
     Performance change found in the
     test: 
`pytorch_image_classification_benchmarks-resnet152-GPU-mean_load_model_latency_milli_secs`
 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).
   
   
   `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?orgId=1&viewPanel=7
   
   
   ```
   
   timestamp: Mon Feb  3 06:14:52 2025, metric_value: 120352.85
   timestamp: Sun Feb  2 06:25:12 2025, metric_value: 123105.87
   timestamp: Sat Feb  1 06:19:08 2025, metric_value: 122917.00
   timestamp: Fri Jan 31 06:15:15 2025, metric_value: 125189.10
   timestamp: Wed Jan 29 06:34:31 2025, metric_value: 119985.23
   timestamp: Tue Jan 28 06:32:22 2025, metric_value: 123488.70
   timestamp: Mon Jan 27 06:15:54 2025, metric_value: 120767.65
   timestamp: Sun Jan 26 06:17:44 2025, metric_value: 121232.82
   timestamp: Sat Jan 25 06:37:00 2025, metric_value: 123815.07
   timestamp: Fri Jan 24 06:29:51 2025, metric_value: 122248.15
   timestamp: Thu Jan 23 06:20:08 2025, metric_value: 123471.17 <---- Anomaly
   timestamp: Wed Jan 22 06:41:47 2025, metric_value: 118871.80
   timestamp: Tue Jan 21 06:36:10 2025, metric_value: 120691.52
   timestamp: Mon Jan 20 06:41:34 2025, metric_value: 115474.82
   timestamp: Sun Jan 19 06:41:50 2025, metric_value: 116304.58
   timestamp: Sat Jan 18 06:59:57 2025, metric_value: 124728.72
   timestamp: Fri Jan 17 06:38:08 2025, metric_value: 124745.48
   timestamp: Thu Jan 16 06:37:10 2025, metric_value: 129002.75
   timestamp: Wed Jan 15 06:41:40 2025, metric_value: 128322.32
   timestamp: Tue Jan 14 06:39:24 2025, metric_value: 126983.60
   timestamp: Mon Jan 13 06:34:22 2025, metric_value: 123951.52
   
   ```


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