Hi
I am trying to implement a regression loss function where I have multiple outputs but I want the loss function to be something like sum(Y_prediction-Y_target)/max(Y_target),
so far I have:
def my_loss(output, target):
maxes = torch.max(target, dim = 1)

diff = (output - target)
diff_sums = torch.sum(diff,dim = 1)

loss = torch.div(diff_sums,maxes)
return loss

but I am getting error:
div(): argument ‘other’ (position 2) must be Tensor, not torch.return_types.max