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about the pixel norm #1
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I got a problem, in the original paper the pixelwise feature vector normalization in generator is :
x/torch.rsqrt((x**2).mean(dim=1,keepdim=True)+epilon)
but in your code I see :
x*torch.rsqrt((x**2).mean(dim=1,keepdim=True)+epilon)
Is it better to use your approach?
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