code: def forward(self, inputs, states):
          
          # pylint: disable= arguments-differ
          self._counter += 1
          return super(RecurrentCell, self).forward(inputs, states)
docs: Unrolls the recurrent cell for one time step.
  
          Parameters
          ----------
          inputs : sym.Variable
              Input symbol, 2D, of shape (batch_size * num_units).
          states : list of sym.Variable
              RNN state from previous step or the output of begin_state().
  
          Returns
          -------
          output : Symbol
              Symbol corresponding to the output from the RNN when unrolling
              for a single time step.
          states : list of Symbol
              The new state of this RNN after this unrolling.
              The type of this symbol is same as the output of `begin_state()`.
              This can be used as an input state to the next time step
              of this RNN.
  
          See Also
          --------
          begin_state: This function can provide the states for the first time step.
          unroll: This function unrolls an RNN for a given number of (>=1) time steps.