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  varunm1 Moderator, Member Posts: 1,207 Unicorn

  October 2019 edited October 2019 Solution Accepted

  Hello @mb223223
  
  If you are asking about deep learning operator (not the extension), yes results change every time unless you select a reproducible option and a local random seed in the parameters. The reason for that is the weight initialization in every run and also the randomness that might change in the model during the training process.
  

  Each compute node trains a copy of the global model parameters on its local data with multi-threading (asynchronously), and contributes periodically to the global model via model averaging across the network.       

  This the main reason for that. Even a simple neural net might change slightly if we run on different machines, for reproducible results, set local seed.
  
  Hope this helps

  Regards,
  Varun
  https://www.varunmandalapu.com/
  
  

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