ThomasDelteil edited a comment on issue #14357: [Bug] Batchnorm running_var behaves differently when using gpu vs. cpu URL: https://github.com/apache/incubator-mxnet/issues/14357#issuecomment-497487102 ```python for ctx in [mx.cpu(), mx.gpu()]: layer = gluon.nn.BatchNorm() layer.initialize(ctx=ctx) for i in range(100): data = mx.nd.random.normal(loc=10, scale=2, shape=(1,3,224,224), ctx=ctx) with autograd.record(): out = layer(data) print(ctx, layer.running_var.data().asnumpy(), layer.running_mean.data().asnumpy()) ``` ```text cpu(0) [1. 1. 1.] [0. 0. 0.] gpu(0) [4.010342 4.002672 3.9972866] [10.002233 9.998462 10.000072] ``` as you can see the variance and mean are erroneous on CPU, it is actually always ones for the variance, and 0 for the mean.
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