So here I am tumbling through the many tutorials, blogs and web pages related to DL as part of my morning routine, when I stumble across this statement in one of pytorchs’ official tutorials 11

An important detail to note is that neural networks from the torch library are trained with tensor values ranging from 0 to 1. If you try to feed the networks with 0 to 255 tensor images, then the activated feature maps will be unable sense the intended content and style. However, pre-trained networks from the Caffe library are trained with 0 to 255 tensor images.

that makes me wonder

Does the re-scaling into the unit interval happen automatically?
what changes if I rescale the inpurt manually before?
what if my input has negative values?