code: def empty(self):
      row = torch.tensor([], dtype=torch.long)
      col = torch.tensor([], dtype=torch.long)
      return SparseStorage(
          row=row,
          rowptr=None,
          col=col,
          value=None,
          sparse_sizes=(0, 0),
          rowcount=None,
          colptr=None,
          colcount=None,
          csr2csc=None,
          csc2csr=None,
          is_sorted=True,
          trust_data=True,
      )
  
imports: import warnings
  from typing import List, Optional, Tuple
  import torch
  from torch_scatter import scatter_add, segment_csr
  from torch_sparse.utils import Final, index_sort
label_desc: Use image node_id 2 for calling the SparseStorage obj's underlying member method code with example usage: obj.empty() and returns: SparseStorage