[GitHub] [incubator-mxnet] nicklhy commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record()

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nicklhy commented on issue #17863: Inconsistent results in gluon.nn.BatchNorm with autograd.record()
URL: https://github.com/apache/incubator-mxnet/issues/17863#issuecomment-602652408
 
 
   I guess this is the expected result. In training mode, BN calculates the mean and variance of batch data first. And since you set momentum as 0, the data_mean is exactly the input data. Thus, you will get an output of all zeros here.
   
   You can refer the [doc](https://mxnet.incubator.apache.org/api/python/docs/api/ndarray/ndarray.html#mxnet.ndarray.BatchNorm) of BN for details.

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