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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/14 20:53:58 UTC

[GitHub] [incubator-mxnet] roywei commented on issue #16387: How to manage the parameters units when using Mxnet for distributed deep learning?

roywei commented on issue #16387: How to manage the parameters units when using Mxnet for distributed deep learning?
URL: https://github.com/apache/incubator-mxnet/issues/16387#issuecomment-541915438
 
 
   Hi @ChrisQiqiang , it depends on what do you want to achieve when you pack them and transfer together. 
   I believe the parameters are still been updated one by one according to here: https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/trainer.py#L361
   However, KV store APIs allows you to update several keys together: https://mxnet.incubator.apache.org/api/python/docs/api/kvstore/index.html
   
   
   You may want to ask questions on our discussion forums:
   English: https://discuss.mxnet.io
   Chinese: https://discuss.gluon.ai/
   

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