Fix the NaN bug
Previous version of the PTQ implementation could result in a model producing NaN values.
This was due to a poor memory initialization obtained by doing a multiplication by zero.
Thus, rescaleTensor(tensor, 0)
is now replaced by fillTensor(tensor, 0)
which solves the problem.