(self, x, state, step)
Returns the output vector for just one time step.
        But I'm not sure anymore how much does all of this work since because of the way tf.while_loop is implemented...
        
        :param x: one vector representing input for one time step
        :param state: state of the controller
        :param step: current time step
        :return: output of the controller and its current state
Returns the output vector for just one time step.
        But I'm not sure anymore how much does all of this work since because of the way tf.while_loop is implemented...
        
        :param x: one vector representing input for one time step
        :param state: state of the controller
        :param step: current time step
        :return: output of the controller and its current state
Returns the output vector for just one time step . But I m not sure anymore how much does all of this work since because of the way tf . while_loop is implemented ... : param x : one vector representing input for one time step : param state : state of the controller : param step : current time step : return : output of the controller and its current state
def step(self, x, state, step):
        """
        Returns the output vector for just one time step.
        But I'm not sure anymore how much does all of this work since because of the way tf.while_loop is implemented...
        
        :param x: one vector representing input for one time step
        :param state: state of the controller
        :param step: current time step
        :return: output of the controller and its current state
        """
        raise NotImplementedError()
def step ( self , x , state , step ) : raise NotImplementedError ( )