import tensorflow as tf

            print(var.name)
            
        self.test_image_A = tf.placeholder(tf.float32,[None, self.image_size,self.image_size,self.input_dim], name='test_A')
        self.test_image_B = tf.placeholder(tf.float32,[None, self.image_size, self.image_size,self.output_c_dim], name='test_B')
        self.saver = tf.train.Saver()
        
        
    def train_network(self):
