dgl.sparse.SparseMatrix.double¶

SparseMatrix.double()[source]¶

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

Returns: The matrix with double values
Return type: SparseMatrix

Examples

>>> indices = torch.tensor([[1, 1, 2], [1, 2, 0]])
>>> A = dglsp.spmatrix(indices, shape=(3, 4))
>>> A.double()
SparseMatrix(indices=tensor([[1, 1, 2],
                             [1, 2, 0]]),
             values=tensor([1., 1., 1.], dtype=torch.float64),
             shape=(3, 4), nnz=3)