ic of QuantTensors implments a generalized version of fixed-point arithmetic, with the main assumption
being that only two QuantTensor with the same scale factor can be summed together. This constrain is enforced
when the QuantTensors involved in a sum have been generated in inference mode, but it’s not enforced in training mode.
This is because when dealing with e.g. <cite>ScalingImplType.PARAMETER_FROM_STATS</cite>, the activation tensors in a residual topology
can have different scale factors along the