github-actions[bot] commented on issue #27077:
URL: https://github.com/apache/beam/issues/27077#issuecomment-1641056497

   
     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://104.154.241.245/d/ZpS8Uf44z/python-ml-runinference-benchmarks?orgId=1&viewPanel=7
   
   ```
   
   timestamp: Tue Jul 18 20:18:01 2023, metric_value: 169408.30
   timestamp: Mon Jul 17 20:17:35 2023, metric_value: 179341.26
   timestamp: Sun Jul 16 20:12:41 2023, metric_value: 163747.60
   timestamp: Fri Jul 14 20:20:19 2023, metric_value: 172176.19
   timestamp: Thu Jul 13 20:23:24 2023, metric_value: 181711.54
   timestamp: Tue Jul 11 20:34:43 2023, metric_value: 193342.36
   timestamp: Mon Jul 10 20:19:11 2023, metric_value: 189409.14
   timestamp: Sat Jul  8 20:11:56 2023, metric_value: 157463.11
   timestamp: Fri Jul  7 20:20:13 2023, metric_value: 181411.25 <---- Anomaly
   timestamp: Thu Jul  6 20:18:41 2023, metric_value: 211548.54
   timestamp: Wed Jul  5 20:28:56 2023, metric_value: 205620.69
   timestamp: Tue Jul  4 20:25:33 2023, metric_value: 205096.16
   timestamp: Mon Jul  3 20:30:00 2023, metric_value: 208163.29
   timestamp: Sun Jul  2 20:24:06 2023, metric_value: 195112.75
   timestamp: Sat Jul  1 20:23:14 2023, metric_value: 195221.70
   timestamp: Fri Jun 30 20:29:06 2023, metric_value: 197976.39
   timestamp: Wed Jun 28 20:36:25 2023, metric_value: 197206.00
   timestamp: Sat Jun 24 20:22:25 2023, metric_value: 173418.86
   timestamp: Thu Jun 22 20:33:39 2023, metric_value: 194870.17
   
   ```


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