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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/08 02:18:23 UTC

[GitHub] [incubator-mxnet] AmigoCDT commented on issue #14229: About the weighted softmax, the forward result is too small

AmigoCDT commented on issue #14229: About the weighted softmax, the forward result is too small
URL: https://github.com/apache/incubator-mxnet/issues/14229#issuecomment-470778540
 
 
   @piyushghai yes, I use another similar customOP (Focal loss), it works well. 
   So the trouble is in my code. Two choices : 
    1. gradient:  `gradient passing` or `gradient formulation`.
    2. I lose something in my script. If there is no fault at my gradient. The main error get this:  `mx.metric.EvalMetric`, Focal loss CustomOP also rewrite this class. But I do not know what does this do. I will find at mxnet doc.
   
   

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