code: def forward(
      self, matrix_1: torch.Tensor, matrix_2: torch.Tensor
  ) -> torch.Tensor:
      return matrix_1.matmul(matrix_2.transpose(-1, -2))
  
imports: import torch
  from allennlp.modules.matrix_attention.matrix_attention import MatrixAttention
label_desc: Use image node_id 1 for calling the DotProductMatrixAttention obj's underlying member method code with example usage: obj.forward(matrix_1, matrix_2) and returns: matrix_1