parameters: (self, shared_name=None)
return_statement: return Iterator.from_dataset(self, shared_name)
docstring: Creates an `Iterator` for enumerating the elements of this dataset.
  
      **N.B.** The returned iterator will be in an uninitialized state,
      and you must run the `iterator.initializer` operation before using it.
  
      Args:
        shared_name: (Optional.) If non-empty, this iterator will be shared under
          the given name across multiple sessions that share the same devices
          (e.g. when using a remote server).
  
  
      Returns:
        An `Iterator` over the elements of this dataset.
docstring_summary: Creates an `Iterator` for enumerating the elements of this dataset.
docstring_tokens: Creates an Iterator for enumerating the elements of this dataset .
function: def make_initializable_iterator(self, shared_name=None):
      """Creates an `Iterator` for enumerating the elements of this dataset.
  
      **N.B.** The returned iterator will be in an uninitialized state,
      and you must run the `iterator.initializer` operation before using it.
  
      Args:
        shared_name: (Optional.) If non-empty, this iterator will be shared under
          the given name across multiple sessions that share the same devices
          (e.g. when using a remote server).
  
  
      Returns:
        An `Iterator` over the elements of this dataset.
      """
      return Iterator.from_dataset(self, shared_name)
function_tokens: def make_initializable_iterator ( self , shared_name = None ) : return Iterator . from_dataset ( self , shared_name )