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Posted to github@beam.apache.org by "github-actions[bot] (via GitHub)" <gi...@apache.org> on 2025/02/13 22:15:10 UTC
[I] Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet101-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs [beam]
github-actions[bot] opened a new issue, #33987:
URL: https://github.com/apache/beam/issues/33987
Performance change found in the
test: `pytorch_image_classification_benchmarks-resnet101-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 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=2
```
timestamp: Thu Feb 13 04:20:28 2025, metric_value: 5120059.18
timestamp: Wed Feb 12 04:25:41 2025, metric_value: 5361738.22
timestamp: Tue Feb 11 04:21:44 2025, metric_value: 5148206.89 <---- Anomaly
timestamp: Mon Feb 10 04:22:34 2025, metric_value: 4696109.50
timestamp: Sun Feb 9 04:20:09 2025, metric_value: 5047956.59
timestamp: Sat Feb 8 04:23:35 2025, metric_value: 4809703.86
timestamp: Fri Feb 7 04:20:25 2025, metric_value: 4723611.22
timestamp: Thu Feb 6 04:21:45 2025, metric_value: 4816079.26
timestamp: Wed Feb 5 04:24:18 2025, metric_value: 4913819.41
timestamp: Tue Feb 4 04:19:39 2025, metric_value: 4611138.69
timestamp: Mon Feb 3 04:17:39 2025, metric_value: 4550217.19
timestamp: Sun Feb 2 04:21:42 2025, metric_value: 4602849.97
timestamp: Sat Feb 1 04:19:32 2025, metric_value: 4618032.56
```
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Re: [I] Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet101-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs [beam]
Posted by "liferoad (via GitHub)" <gi...@apache.org>.
liferoad closed issue #33987:
Performance Regression or Improvement: pytorch_image_classification_benchmarks-resnet101-mean_inference_batch_latency_micro_secs:mean_inference_batch_latency_micro_secs
URL: https://github.com/apache/beam/issues/33987
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