Is it possible to use inputs with different dimension when using CosineEmbeddingLoss.
I mean the size of x1 and x2 are different. For example, x1 is 10x3, where 10 is the batch size and 3 is embedding dimension. And x2 is 10x5x3, where 5 is the negative sampling size.