b70e026702c590618552ab857fc6661662ab72f2,allennlp/modules/matrix_attention/linear_matrix_attention.py,LinearMatrixAttention,forward,#LinearMatrixAttention#Any#Any#,67

Before Change

                                                      matrix_1.size()[1],
                                                      matrix_2.size()[1],
                                                      matrix_1.size()[2])
        tiled_matrix_2 = matrix_2.unsqueeze(1).expand(matrix_2.size()[0],
                                                      matrix_1.size()[1],
                                                      matrix_2.size()[1],
                                                      matrix_2.size()[2])

        combined_tensors = util.combine_tensors(self._combination, [tiled_matrix_1, tiled_matrix_2])
        dot_product = torch.matmul(combined_tensors, self._weight_vector)
        return self._activation(dot_product + self._bias)

After Change

                matrix_1: torch.Tensor,
                matrix_2: torch.Tensor) -> torch.Tensor:
        combined_tensors = util.combine_tensors_and_multiply(self._combination,
                                                             [matrix_1.unsqueeze(2), matrix_2.unsqueeze(1)],
                                                             self._weight_vector)
        return self._activation(combined_tensors + self._bias)

Instances