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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