parameters: (self, inputs, state, **kwargs)
return_statement: return self._call_wrapped_cell(
          inputs, state, cell_call_fn=self.cell.call, **kwargs)
docstring: Runs the RNN cell step computation.
  
      When `call` is being used, we assume that the wrapper object has been built,
      and therefore the wrapped cells has been built via its `build` method and
      its `call` method can be used directly.
  
      This allows to use the wrapped cell and the non-wrapped cell equivalently
      when using `call` and `build`.
  
      Args:
        inputs: A tensor with wrapped cell's input.
        state: A tensor or tuple of tensors with wrapped cell's state.
        **kwargs: Additional arguments passed to the wrapped cell's `call`.
  
      Returns:
        A pair containing:
  
        - Output: A tensor with cell's output.
        - New state: A tensor or tuple of tensors with new wrapped cell's state.
docstring_summary: Runs the RNN cell step computation.
docstring_tokens: Runs the RNN cell step computation .
function: def call(self, inputs, state, **kwargs):
      """Runs the RNN cell step computation.
  
      When `call` is being used, we assume that the wrapper object has been built,
      and therefore the wrapped cells has been built via its `build` method and
      its `call` method can be used directly.
  
      This allows to use the wrapped cell and the non-wrapped cell equivalently
      when using `call` and `build`.
  
      Args:
        inputs: A tensor with wrapped cell's input.
        state: A tensor or tuple of tensors with wrapped cell's state.
        **kwargs: Additional arguments passed to the wrapped cell's `call`.
  
      Returns:
        A pair containing:
  
        - Output: A tensor with cell's output.
        - New state: A tensor or tuple of tensors with new wrapped cell's state.
      """
      return self._call_wrapped_cell(
          inputs, state, cell_call_fn=self.cell.call, **kwargs)
function_tokens: def call ( self , inputs , state , * * kwargs ) : return self . _call_wrapped_cell ( inputs , state , cell_call_fn = self . cell . call , * * kwargs )