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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/06 15:54:18 UTC

[GitHub] [beam] yeandy opened a new issue, #21722: Create fake model with GB sizes

yeandy opened a new issue, #21722:
URL: https://github.com/apache/beam/issues/21722

   ### What needs to happen?
   
   We need to create models of various sizes (1 GB, 5GB, 10 GB) to help with benchmarking RunInference on models of various sizes. These models don't have to be trained on anything, but be randomly initialized, fully-connected networks.
   
   
   
   
   Subtask of issue https://github.com/apache/beam/issues/21435
   
   ### Issue Priority
   
   Priority: 2
   
   ### Issue Component
   
   Component: sdk-py-core


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[GitHub] [beam] tvalentyn commented on issue #21722: Create fake model with GB sizes

Posted by GitBox <gi...@apache.org>.

tvalentyn commented on issue #21722:
URL: https://github.com/apache/beam/issues/21722#issuecomment-1232049110

   Planning to use off-the-shelf models.


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[GitHub] [beam] yeandy commented on issue #21722: Create fake model with GB sizes

Posted by GitBox <gi...@apache.org>.

yeandy commented on issue #21722:
URL: https://github.com/apache/beam/issues/21722#issuecomment-1227418151

   .close-issue


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[GitHub] [beam] github-actions[bot] closed issue #21722: Create fake model with GB sizes

Posted by GitBox <gi...@apache.org>.

github-actions[bot] closed issue #21722: Create fake model with GB sizes
URL: https://github.com/apache/beam/issues/21722


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