In inception v3 model, the input is transformed:

I don’t understand why pytorch does like this.
When we normalize this input , we always transform like this:
input[channel] = (input[channel] - mean[channel]) / std[channel].
But what does it mean what pytorch does? Normalize?
Hoping anyone to show some his opinion.
Thanks very much.