github-actions[bot] commented on issue #29492:
URL: https://github.com/apache/beam/issues/29492#issuecomment-1928216086
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 5 06:48:47 2024, metric_value: 219060.07
timestamp: Sat Feb 3 06:45:12 2024, metric_value: 225485.20
timestamp: Thu Feb 1 06:48:04 2024, metric_value: 221938.53 <---- Anomaly
timestamp: Tue Jan 30 06:47:30 2024, metric_value: 209624.08
timestamp: Mon Jan 29 06:45:18 2024, metric_value: 209521.78
timestamp: Sun Jan 28 06:39:42 2024, metric_value: 200487.08
timestamp: Sat Jan 27 06:43:41 2024, metric_value: 222538.60
timestamp: Fri Jan 26 06:45:21 2024, metric_value: 210453.72
timestamp: Thu Jan 25 06:44:42 2024, metric_value: 208565.78
timestamp: Wed Jan 24 06:55:31 2024, metric_value: 211543.25
timestamp: Mon Jan 22 06:44:51 2024, metric_value: 209070.38
timestamp: Sun Jan 21 06:45:18 2024, metric_value: 201586.58
timestamp: Sat Jan 20 06:38:09 2024, metric_value: 196935.87
```
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