class_docstr: Class for sparse matrix.
class_docstr_tok: ["Class","for","sparse","matrix","."]
docstr: Returns the device the sparse matrix is on.
  
  Returns
  -------
  torch.device
      The device the sparse matrix is on
docstr_tok: ["Returns","the","device","the","sparse","matrix","is","on",".","Returns","--","--","--","-","torch.device","The","device","the","sparse","matrix","is","on"]
code: def device(self) -> torch.device:
      """Returns the device the sparse matrix is on.
  
      Returns
      -------
      torch.device
          The device the sparse matrix is on
      """
      return self.c_sparse_matrix.device()
  
imports: from typing import Optional, Tuple
  import torch
label_desc: Use image node_id 7 for calling the SparseMatrix obj's underlying member method code with example usage: obj.device() and returns: self