github-actions[bot] commented on issue #27986:
URL: https://github.com/apache/beam/issues/27986#issuecomment-1925468952
Performance change found in the
test:
`pytorch_image_classification_benchmarks-resnet152-GPU-mean_inference_batch_latency_micro_secs`
for the metric: `mean_inference_batch_latency_micro_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?from=now-90d&to=now&viewPanel=2
```
timestamp: Sat Feb 3 06:45:12 2024, metric_value: 3653228.19
timestamp: Thu Feb 1 06:48:04 2024, metric_value: 4523925.36
timestamp: Tue Jan 30 06:47:30 2024, metric_value: 5123653.76 <---- Anomaly
timestamp: Mon Jan 29 06:45:18 2024, metric_value: 3329238.64
timestamp: Sun Jan 28 06:39:42 2024, metric_value: 2567131.22
timestamp: Sat Jan 27 06:43:41 2024, metric_value: 3449347.82
timestamp: Fri Jan 26 06:45:21 2024, metric_value: 2972590.06
timestamp: Thu Jan 25 06:44:42 2024, metric_value: 3099430.59
timestamp: Wed Jan 24 06:55:31 2024, metric_value: 3949223.63
timestamp: Mon Jan 22 06:44:51 2024, metric_value: 3136144.88
timestamp: Sun Jan 21 06:45:18 2024, metric_value: 3054494.27
timestamp: Sat Jan 20 06:38:09 2024, metric_value: 2811992.30
timestamp: Fri Jan 19 06:52:12 2024, metric_value: 3285322.64
```
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