You are viewing a plain text version of this content. The canonical link for it is here.
Posted to github@beam.apache.org by "AnandInguva (via GitHub)" <gi...@apache.org> on 2023/05/09 23:50:21 UTC
[GitHub] [beam] AnandInguva opened a new issue, #26615: Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_inference_batch_latency_micro_secs
AnandInguva opened a new issue, #26615:
URL: https://github.com/apache/beam/issues/26615
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: Mon May 8 20:21:00 2023, metric_value: `351051.74592690443`
timestamp: Sun May 7 20:09:42 2023, metric_value: `373425.0474158369`
timestamp: Sat May 6 20:12:19 2023, metric_value: `242029.10829268294`
timestamp: Thu May 4 18:12:51 2023, metric_value: `361223.52659574465`
timestamp: Wed May 3 18:22:09 2023, metric_value: `328118.64653425216`
timestamp: Tue May 2 18:14:51 2023, metric_value: `424903.4859154929`
timestamp: Mon May 1 18:14:12 2023, metric_value: `387124.80579584773`
timestamp: Sun Apr 30 18:09:14 2023, metric_value: `306414.3679245283`
timestamp: Sat Apr 29 18:14:43 2023, metric_value: `380149.34958979033`
timestamp: Fri Apr 28 18:11:05 2023, metric_value: `358877.55455659993`
timestamp: Thu Apr 27 18:19:19 2023, metric_value: `403779.09769008664` <---- Anomaly
timestamp: Wed Apr 26 18:34:08 2023, metric_value: `71642.43726750085`
timestamp: Tue Apr 25 18:36:30 2023, metric_value: `78412.06520314548`
timestamp: Mon Apr 24 18:33:33 2023, metric_value: `72853.56342609324`
timestamp: Sun Apr 23 18:29:02 2023, metric_value: `79737.66775956284`
timestamp: Sat Apr 22 18:32:37 2023, metric_value: `83166.35733538699`
timestamp: Fri Apr 21 18:53:30 2023, metric_value: `72210.17876039304`
timestamp: Wed Apr 19 18:37:05 2023, metric_value: `79859.03033666297`
timestamp: Tue Apr 18 18:54:55 2023, metric_value: `72710.99006387508`
timestamp: Mon Apr 17 18:41:13 2023, metric_value: `72510.55364642994`
timestamp: Sun Apr 16 18:25:01 2023, metric_value: `66393.77158671587`
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscribe@beam.apache.org.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
[GitHub] [beam] AnandInguva closed issue #26615: Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_inference_batch_latency_micro_secs
Posted by "AnandInguva (via GitHub)" <gi...@apache.org>.
AnandInguva closed issue #26615:
Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_inference_batch_latency_micro_secs
URL: https://github.com/apache/beam/issues/26615
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: github-unsubscribe@beam.apache.org
For queries about this service, please contact Infrastructure at:
users@infra.apache.org