Hi I have a question about
calculating losses for multiple-pairs.
As far as I know, Pytorch support calculating losses only between input and target.
In my case, I have several embedding pairs (i.e A:(N,D),B:(N,D),C:(N,D)) and want to pull each other by using like L2 loss.
Is there any internal function that can handle multiple pairs of inputs to calculate losses like the above case in Pytorch?
If not, what is the right way to pull multiple pairs of inputs?
I think there are two cases:
case1 input:A ,target:B input:A ,target:C input:B ,target:A input:B ,target:C input:C ,target:A input:C ,target:B
case2 input:A ,target:B input:A ,target:C input:B ,target:C
cf) Reason why I think of two cases, is because I wonder whether the target embeddings also get gradients or not