class_docstr: Class for sparse matrix.
class_docstr_tok: ["Class","for","sparse","matrix","."]
docstr: Returns the data type of the sparse matrix.
  
  Returns
  -------
  torch.dtype
      Data type of the sparse matrix
docstr_tok: ["Returns","the","data","type","of","the","sparse","matrix",".","Returns","--","--","--","-","torch.dtype","Data","type","of","the","sparse","matrix"]
code: def dtype(self) -> torch.dtype:
      """Returns the data type of the sparse matrix.
  
      Returns
      -------
      torch.dtype
          Data type of the sparse matrix
      """
      return self.c_sparse_matrix.val().dtype
  
imports: from typing import Optional, Tuple
  import torch
label_desc: Use image node_id 6 for calling the SparseMatrix obj's underlying member method code with example usage: obj.dtype() and returns: self