code: def cuda(self):
      new_col = self._col.cuda()
      if new_col.device == self._col.device:
          return self
  
      row = self._row
      if row is not None:
          row = row.cuda()
      rowptr = self._rowptr
      if rowptr is not None:
          rowptr = rowptr.cuda()
      value = self._value
      if value is not None:
          value = value.cuda()
      rowcount = self._rowcount
      if rowcount is not None:
          rowcount = rowcount.cuda()
      colptr = self._colptr
      if colptr is not None:
          colptr = colptr.cuda()
      colcount = self._colcount
      if colcount is not None:
          colcount = colcount.cuda()
      csr2csc = self._csr2csc
      if csr2csc is not None:
          csr2csc = csr2csc.cuda()
      csc2csr = self._csc2csr
      if csc2csr is not None:
          csc2csr = csc2csr.cuda()
  
      return SparseStorage(
          row=row,
          rowptr=rowptr,
          col=new_col,
          value=value,
          sparse_sizes=self._sparse_sizes,
          rowcount=rowcount,
          colptr=colptr,
          colcount=colcount,
          csr2csc=csr2csc,
          csc2csr=csc2csr,
          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 38 for calling the SparseStorage obj's underlying member method code with example usage: obj.cuda() and returns: SparseStorage, self