class_docstr: Class for sparse matrix.
class_docstr_tok: ["Class","for","sparse","matrix","."]
docstr: Returns the shape of the sparse matrix.
  
  Returns
  -------
  Tuple[int]
      The shape of the sparse matrix
docstr_tok: ["Returns","the","shape","of","the","sparse","matrix",".","Returns","--","--","--","-","Tuple","[","int","]","The","shape","of","the","sparse","matrix"]
code: def shape(self) -> Tuple[int]:
      """Returns the shape of the sparse matrix.
  
      Returns
      -------
      Tuple[int]
          The shape of the sparse matrix
      """
      return tuple(self.c_sparse_matrix.shape())
  
imports: from typing import Optional, Tuple
  import torch
label_desc: Use image node_id 4 for calling the SparseMatrix obj's underlying member method code with example usage: obj.shape() and returns: tuple