Method has_duplicate

python/dgl/sparse/sparse_matrix.py:463–476

Returns ``True`` if the sparse matrix contains duplicate indices. Examples -------- >>> indices = torch.tensor([[1, 0, 0, 0, 1], [1, 1, 1, 2, 2]]) >>> val = torch.tensor([0, 1, 2, 3, 4]) >>> A = dglsp.spmatrix(indices, val) >>> A.has_duplicate()

(self)

        return SparseMatrix(self.c_sparse_matrix.coalesce())

    def has_duplicate(self):
        """Returns ``True`` if the sparse matrix contains duplicate indices.

        Examples
        --------
        >>> indices = torch.tensor([[1, 0, 0, 0, 1], [1, 1, 1, 2, 2]])
        >>> val = torch.tensor([0, 1, 2, 3, 4])
        >>> A = dglsp.spmatrix(indices, val)
        >>> A.has_duplicate()
        True
        >>> A.coalesce().has_duplicate()
        False
        """
        return self.c_sparse_matrix.has_duplicate()

    def is_diag(self):
        """Returns whether the sparse matrix is a diagonal matrix."""