AnandInguva opened a new issue, #25934:
URL: https://github.com/apache/beam/issues/25934
Performance change found in the
test: `Pytorch image classification on 50k images of size 224 x 224 with
resnet 152 with Tesla T4
GPU:apache_beam.testing.benchmarks.inference.pytorch_image_classification_benchmarks`
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).
timestamp: Tue Mar 21 18:34:17 2023, metric_value: `77126.60742268042`
timestamp: Mon Mar 20 18:38:44 2023, metric_value: `72422.41292442498`
timestamp: Fri Mar 17 18:54:55 2023, metric_value: `72757.09090909091`
timestamp: Wed Mar 15 18:39:24 2023, metric_value: `307992.8282527881`
timestamp: Tue Mar 14 18:20:28 2023, metric_value: `274270.1772339637`
timestamp: Mon Mar 13 18:52:40 2023, metric_value: `307627.037796542`
timestamp: Sun Mar 12 18:17:56 2023, metric_value: `296421.48533834587`
timestamp: Sat Mar 11 18:19:42 2023, metric_value: `334912.551322277`
timestamp: Fri Mar 10 18:21:33 2023, metric_value: `345194.726580009`
timestamp: Thu Mar 9 18:26:05 2023, metric_value: `391700.1058052434`
timestamp: Wed Mar 8 18:25:08 2023, metric_value: `319142.57038123166`
<---- Anomaly
timestamp: Tue Mar 7 18:23:57 2023, metric_value: `401203.8418560606`
timestamp: Tue Mar 7 01:20:20 2023, metric_value: `374878.1331090822`
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