gilbertfrancois commented on issue #18751:
URL: 
https://github.com/apache/incubator-mxnet/issues/18751#issuecomment-662755383


   Coming back to mxnet: it looks like it is possible to do a forward pass 
(inference mode) on cpu when the BatchNorm is placed with Dense layers. But on 
gpu, it tries to update the values on the forward pass, instead of the backward 
pass, resulting in NaN when the batch size = 1.


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