Hi all,
I’m using Pytorch to build my own model but meet some problem.
I found many Loss has the param size_average, such as torch.nn.CrossEntropyLoss(weight=None, size_average=True).
Loss func takes Input: (N,C) and Target: (N) then returns a single value, which I suppose is averaged on batch_size N.
size_average (bool, optional): By default, the losses are averaged
                over observations for each minibatch. However, if the field
                sizeAverage is set to False, the losses are instead summed
                for each minibatch.

But when I set size_average=False, it still returns a single value instead of a batch_size loss.
So I wonder what this param size_average do? How can I access losses of batch by individual?
Thanks a lot!