github-actions[bot] opened a new issue, #36624:
URL: https://github.com/apache/beam/issues/36624
Performance change found in the
test:
`pytorch_image_classification_benchmarks-resnet101-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 101.
Test link -
https://github.com/apache/beam/blob/42d0a6e3564d8b9c5d912428a6de18fb22a13ac1/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L34
Test dashboard -
http://metrics.beam.apache.org/d/ZpS8Uf44z/python-ml-runinference-benchmarks?orgId=1&viewPanel=7
```
timestamp: Sat Oct 25 07:05:44 2025, metric_value: 78584.49
timestamp: Fri Oct 24 18:25:11 2025, metric_value: 92706.41
timestamp: Fri Oct 24 10:49:31 2025, metric_value: 93639.36 <---- Anomaly
timestamp: Thu Oct 23 23:51:02 2025, metric_value: 85854.42
timestamp: Wed Oct 8 22:15:12 2025, metric_value: 83701.28
timestamp: Sat Sep 13 06:57:47 2025, metric_value: 91354.80
timestamp: Fri Sep 12 06:56:48 2025, metric_value: 87093.69
timestamp: Thu Sep 11 07:10:14 2025, metric_value: 84028.75
timestamp: Wed Sep 10 07:05:41 2025, metric_value: 83676.43
timestamp: Tue Sep 9 06:49:21 2025, metric_value: 85972.96
timestamp: Mon Sep 8 06:57:09 2025, metric_value: 88489.85
timestamp: Sat Sep 6 06:51:18 2025, metric_value: 86028.16
timestamp: Thu Sep 4 07:14:52 2025, metric_value: 87518.97
```
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