code: def device_as(self, tensor: torch.Tensor, non_blocking: bool = False):
      return self.to_device(
          device=tensor.device, non_blocking=non_blocking
      )
  
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 37 for calling the SparseStorage obj's underlying member method code with example usage: obj.device_as(tensor, non_blocking) and returns: self