github-actions[bot] opened a new issue, #39375:
URL: https://github.com/apache/beam/issues/39375
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: Fri Jul 17 10:18:22 2026, metric_value: 126438.93
timestamp: Thu Jul 16 11:02:44 2026, metric_value: 127597.95
timestamp: Wed Jul 15 11:18:41 2026, metric_value: 132462.05
timestamp: Tue Jul 14 11:15:32 2026, metric_value: 136065.18 <---- Anomaly
timestamp: Mon Jul 13 10:48:37 2026, metric_value: 120508.23
timestamp: Sun Jul 12 10:25:31 2026, metric_value: 122502.82
timestamp: Sat Jul 11 10:10:43 2026, metric_value: 117655.37
timestamp: Fri Jul 10 10:58:22 2026, metric_value: 119218.48
timestamp: Thu Jul 9 10:50:40 2026, metric_value: 123824.00
timestamp: Wed Jul 8 10:49:09 2026, metric_value: 123250.77
timestamp: Wed Jul 8 02:43:33 2026, metric_value: 123558.67
timestamp: Tue Jul 7 11:18:55 2026, metric_value: 133004.28
timestamp: Mon Jul 6 11:19:13 2026, metric_value: 127438.88
timestamp: Sun Jul 5 11:06:56 2026, metric_value: 119981.35
```
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