You are viewing a plain text version of this content. The canonical link for it is here.
Posted to github@beam.apache.org by "github-actions[bot] (via GitHub)" <gi...@apache.org> on 2023/05/24 22:08:40 UTC

[GitHub] [beam] github-actions[bot] opened a new issue, #26881: Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_load_model_latency_milli_secs

github-actions[bot] opened a new issue, #26881:
URL: https://github.com/apache/beam/issues/26881

   
     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_load_model_latency_milli_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: Wed May 24 20:16:47 2023, metric_value: `133549.5892857143`
   timestamp: Tue May 23 20:17:12 2023, metric_value: `139893.61111111112`
   timestamp: Mon May 22 20:15:16 2023, metric_value: `125453.5`
   timestamp: Sun May 21 20:13:47 2023, metric_value: `139736.2`
   timestamp: Sat May 20 20:11:23 2023, metric_value: `111102.85714285714`
   timestamp: Fri May 19 20:14:41 2023, metric_value: `113992.05357142857`
   timestamp: Thu May 18 20:12:50 2023, metric_value: `138409.43636363637`
   timestamp: Wed May 17 20:15:18 2023, metric_value: `109141.42857142857`
   timestamp: Tue May 16 20:23:10 2023, metric_value: `127389.48214285714`
   timestamp: Sun May 14 20:10:07 2023, metric_value: `117647.72727272728`
   timestamp: Sat May 13 20:11:10 2023, metric_value: `116345.75` <---- Anomaly
   timestamp: Fri May 12 20:13:53 2023, metric_value: `114928.48214285714`
   timestamp: Thu May 11 20:15:57 2023, metric_value: `122727.23636363636`
   timestamp: Wed May 10 20:23:13 2023, metric_value: `130366.82142857143`


-- 
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] kerrydc commented on issue #26881: Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_load_model_latency_milli_secs

Posted by "kerrydc (via GitHub)" <gi...@apache.org>.
kerrydc commented on issue #26881:
URL: https://github.com/apache/beam/issues/26881#issuecomment-1568668602

   Not significant.


-- 
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


[GitHub] [beam] tvalentyn closed issue #26881: Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_load_model_latency_milli_secs

Posted by "tvalentyn (via GitHub)" <gi...@apache.org>.
tvalentyn closed issue #26881: 
  Performance Regression or Improvement: Pytorch image classification on 50k images of size 224 x 224 with resnet 152 with Tesla T4 GPU:mean_load_model_latency_milli_secs

URL: https://github.com/apache/beam/issues/26881


-- 
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