Hi there,
I would like to implement a single quantization layer with the forward pass of

x = floor(y / scale + offset)

where scale and offset are fixed scalars and given in the initialization. Do I need to care about backpropagation or the autograd will automatically take care of it?
Sorry for the newbie question
Thank you