dgl.sparse.SparseMatrix.coalesceο
- SparseMatrix.coalesce()[source]ο
Returns a coalesced sparse matrix.
A coalesced sparse matrix satisfies the following properties:
the indices of the non-zero elements are unique,
the indices are sorted in lexicographical order.
The coalescing process will accumulate the non-zero elements of the same indices by summation.
The function does not support autograd.
- Returns:
The coalesced sparse matrix
- Return type:
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.coalesce() SparseMatrix(indices=tensor([[0, 0, 1, 1], [1, 2, 1, 2]]), values=tensor([3, 3, 0, 4]), shape=(2, 3), nnz=4)