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import scipy.sparse as sp
from typing import Tuple, Optional
import torch
from torch_sparse.tensor import SparseTensor
from torch_sparse.permute import permute
def reverse_cuthill_mckee(src: SparseTensor,
is_symmetric: Optional[bool] = None
) -> Tuple[SparseTensor, torch.Tensor]:
if is_symmetric is None:
is_symmetric = src.is_symmetric()
if not is_symmetric:
src = src.to_symmetric()
sp_src = src.to_scipy(layout='csr')
perm = sp.csgraph.reverse_cuthill_mckee(sp_src, symmetric_mode=True).copy()
perm = torch.from_numpy(perm).to(torch.long).to(src.device())
out = permute(src, perm)
return out, perm
SparseTensor.reverse_cuthill_mckee = reverse_cuthill_mckee
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