class_docstr: Class for sparse matrix.
class_docstr_tok: ["Class","for","sparse","matrix","."]
docstr: Returns the row indices of the non-zero elements.
  
  Returns
  -------
  torch.Tensor
      Row indices of the non-zero elements
docstr_tok: ["Returns","the","row","indices","of","the","non-zero","elements",".","Returns","--","--","--","-","torch.Tensor","Row","indices","of","the","non-zero","elements"]
code: def row(self) -> torch.Tensor:
      """Returns the row indices of the non-zero elements.
  
      Returns
      -------
      torch.Tensor
          Row indices of the non-zero elements
      """
      return self.coo()[0]
  
imports: from typing import Optional, Tuple
  import torch
label_desc: Use image node_id 8 for calling the SparseMatrix obj's underlying member method code with example usage: obj.row() and returns: self