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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