I want to know what the distance metric of features you use

[BiaoBiaoLi]

Hi WangYue:
Thanks your work,I want ask a question:
scores = torch.matmul(src_embedding.transpose(2, 1).contiguous(), tgt_embedding) / math.sqrt(d_k)
scores = torch.softmax(scores, dim=2)
I want to know what the distance metric of features you use,I think it's like the Attention(Q; K; V ) = softmax(QK' /sqrt(pdk) )V in Attention Is All You Need.

[LinyeLi60]

I think it is cosine distance.