[GitHub] edmBernard opened a new issue #7964: Gradient accumulation of several sample

[gi...@git.apache.org]

edmBernard opened a new issue #7964: Gradient accumulation of several sample
URL: https://github.com/apache/incubator-mxnet/issues/7964
 
 
   I search to compute a triplet ranking loss. 
   To achieve this, I need to accumulate gradient through several example and update weight with the resulting gradient. 
   
   In chainer we can easily do that because backward function accumulate gradient by default : 
   > We need to clear the gradients first because the backward() method accumulates gradients instead of overwriting the previous values.
   
   Is there a way to do this with Mxnet Gluon and the autograd API ?
   
   That similar to gradient accumulation inside a batch.
 
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