allennlp.modules.matrix_attention.matrix_attention#

MatrixAttention#

MatrixAttention(self)

MatrixAttention takes two matrices as input and returns a matrix of attentions.

We compute the similarity between each row in each matrix and return unnormalized similarity scores. Because these scores are unnormalized, we don't take a mask as input; it's up to the caller to deal with masking properly when this output is used.

Input: - matrix_1 : (batch_size, num_rows_1, embedding_dim_1) - matrix_2 : (batch_size, num_rows_2, embedding_dim_2)

Output: - (batch_size, num_rows_1, num_rows_2)