dgl.sparse.sub

dgl.sparse.sub(A: SparseMatrix, B: SparseMatrix) → SparseMatrix

Elementwise subtraction for SparseMatrix, equivalent to A - B.

Parameters:

• A (SparseMatrix) – Sparse matrix

• B (SparseMatrix) – Sparse matrix

Returns:

Sparse matrix

Return type:

SparseMatrix

Examples

>>> indices = torch.tensor([[1, 0, 2], [0, 1, 2]])
>>> val = torch.tensor([10, 20, 30])
>>> A = dglsp.spmatrix(indices, val)
>>> B = dglsp.diag(torch.arange(1, 4))
>>> dglsp.sub(A, B)
SparseMatrix(indices=tensor([[0, 0, 1, 1, 2],
                             [0, 1, 0, 1, 2]]),
             values=tensor([-1, 20, 10, -2, 27]),
             shape=(3, 3), nnz=5)