def build_model3(self):
self.weights4, self.biases4 = self.get_en_y_variables()
# Training Ey
self.e_y = self.encode_y(self.images, weights=self.weights4, biases=self.biases4)
self.loss_y = tf.reduce_mean(tf.square(self.e_y - self.y))
t_vars = tf.trainable_variables()
self.eny_vars = [var for var in t_vars if 'eny' in var.name]
self.saver_y = tf.train.Saver(self.eny_vars)
#Test model
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