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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/12/03 18:51:01 UTC

[GitHub] [incubator-mxnet] MoisesHer commented on issue #16893: Multi-tensor LAMB

MoisesHer commented on issue #16893: Multi-tensor LAMB
URL: https://github.com/apache/incubator-mxnet/pull/16893#issuecomment-561304820
 
 
   > Ping @MoisesHer Is the MultiLAMB optimizer a generalization of LAMB optimizer? If so, why do we keep the LAMB optimizer? If not, please add documentation or a reference to the docstring. Thank you!
   
   Sorry, since we were having different numbers of states I was not sure how to reuse the previous optimizer. After Haibin suggestion, now we have same numbers of states.
   I have merged both optimizers. If aggregation number is <=1 or gradients/weights is a unique NDArray, the single-tensor implementation is used, otherwise, the multi-tensor implementation is used. 
   

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