dgl.sparse.val_like

dgl.sparse.val_like(mat: dgl.sparse.sparse_matrix.SparseMatrix, val: torch.Tensor) → dgl.sparse.sparse_matrix.SparseMatrix

Creates a sparse matrix from an existing sparse matrix using new values.

The new sparse matrix will have the same non-zero indices as the given sparse matrix and use the given values as the new non-zero values.

Parameters

• mat (SparseMatrix) – An existing sparse matrix with non-zero values

• val (torch.Tensor) – The new values of the non-zero elements, a tensor of shape (nnz) or (nnz, D)

Returns

New sparse matrix

Return type

SparseMatrix

Examples

>>> indices = torch.tensor([[1, 1, 2], [2, 4, 3]])
>>> val = torch.ones(3)
>>> A = dglsp.spmatrix(indices, val)
>>> A = dglsp.val_like(A, torch.tensor([2, 2, 2]))
SparseMatrix(indices=tensor([[1, 1, 2],
                             [2, 4, 3]]),
             values=tensor([2, 2, 2]),
             shape=(3, 5), nnz=3)