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Posted to github@beam.apache.org by "github-actions[bot] (via GitHub)" <gi...@apache.org> on 2025/04/13 22:13:40 UTC
[I] Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet152-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs [beam]
github-actions[bot] opened a new issue, #34622:
URL: https://github.com/apache/beam/issues/34622
Performance change found in the
test: `pytorch_image_classification_benchmarks-resnet152-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.
Test link - https://github.com/apache/beam/blob/42d0a6e3564d8b9c5d912428a6de18fb22a13ac1/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy#L63
Test dashboard - http://metrics.beam.apache.org/d/ZpS8Uf44z/python-ml-runinference-benchmarks?orgId=1&viewPanel=2
```
timestamp: Sun Apr 13 05:31:08 2025, metric_value: 7349034.09
timestamp: Sat Apr 12 05:01:10 2025, metric_value: 7369311.04
timestamp: Fri Apr 11 05:08:29 2025, metric_value: 7732282.09 <---- Anomaly
timestamp: Thu Apr 10 05:06:27 2025, metric_value: 6853519.86
timestamp: Wed Apr 9 05:06:46 2025, metric_value: 6716715.90
timestamp: Tue Apr 8 04:59:52 2025, metric_value: 6814646.31
timestamp: Mon Apr 7 11:09:25 2025, metric_value: 6615117.47
timestamp: Mon Apr 7 05:02:44 2025, metric_value: 6695634.66
timestamp: Sun Apr 6 05:11:13 2025, metric_value: 6769270.19
timestamp: Sat Apr 5 05:03:52 2025, metric_value: 6862590.61
timestamp: Fri Apr 4 05:14:12 2025, metric_value: 6813321.14
timestamp: Thu Apr 3 05:07:55 2025, metric_value: 6777022.85
timestamp: Wed Apr 2 05:08:12 2025, metric_value: 6816992.18
```
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Re: [I] Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet152-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs [beam]
Posted by "liferoad (via GitHub)" <gi...@apache.org>.
liferoad closed issue #34622:
Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet152-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs
URL: https://github.com/apache/beam/issues/34622
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