(self, x, state, step)
return x, state
Returns the output vector for just one time step
        
        :param x: vector representing input for one time step
        :parma state: not used in any way whatsoever
        :param step: current time step
        :return: output of feedforward network and tf.constant(0), because it doesn't have a state, (required by 
                tf.while_loop)
Returns the output vector for just one time step
        
        :param x: vector representing input for one time step
        :parma state: not used in any way whatsoever
        :param step: current time step
        :return: output of feedforward network and tf.constant(0), because it doesn't have a state, (required by 
                tf.while_loop)
Returns the output vector for just one time step : param x : vector representing input for one time step : parma state : not used in any way whatsoever : param step : current time step : return : output of feedforward network and tf . constant ( 0 ) because it doesn t have a state ( required by tf . while_loop )
def step(self, x, state, step):
        """
        Returns the output vector for just one time step
        
        :param x: vector representing input for one time step
        :parma state: not used in any way whatsoever
        :param step: current time step
        :return: output of feedforward network and tf.constant(0), because it doesn't have a state, (required by 
                tf.while_loop)
        """
        with tf.variable_scope("FF_step"):
            for layer_size in self.layer_sizes[:-1]:
                x = tf.layers.dense(x, layer_size, activation=tf.nn.relu)

            x = tf.layers.dense(x, self.layer_sizes[-1], activation=tf.nn.relu)
        return x, state
def step ( self , x , state , step ) : with tf . variable_scope ( "FF_step" ) : for layer_size in self . layer_sizes [ : - 1 ] : x = tf . layers . dense ( x , layer_size , activation = tf . nn . relu ) x = tf . layers . dense ( x , self . layer_sizes [ - 1 ] , activation = tf . nn . relu ) return x , state