dgl.sparse.SparseMatrix.longΒΆ

SparseMatrix.long()[source]ΒΆ

Converts the matrix values to long data type. If the matrix already uses long data type, the original matrix will be returned.

Returns

The matrix with long values

Return type

DiagMatrix

Examples

>>> indices = torch.tensor([[1, 1, 2], [1, 2, 0]])
>>> A = dglsp.spmatrix(indices, shape=(3, 4))
>>> A.long()
SparseMatrix(indices=tensor([[1, 1, 2],
                             [1, 2, 0]]),
             values=tensor([1, 1, 1]),
             shape=(3, 4), nnz=3)