Normalize a tensor image with mean and standard deviation. Given mean: ``(M1,...,Mn)`` and std: ``(S1,..,Sn)`` for ``n`` channels, this transform will normalize each channel of the input ``torch.*Tensor`` i.e. ``input[channel] = (input[channel] - mean[channel]) / std[channel]`` Args:
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