def _build_graph(self):
    self.x = tf.placeholder(tf.float32, shape=self.x0.shape, name='input')
    self.xi = tf.expand_dims(self.x, 0)
    self.y_hat = self.transform.net((self.xi / 255.0))
    self.y_hat = tf.squeeze(self.y_hat)
    self.y_hat = tf.clip_by_value(self.y_hat, 0.0, 255.0)
def _build_graph(self):
    self.x = tf.placeholder(tf.float32, shape=self.x0.shape, name='input')
    self.xi = tf.expand_dims(self.x, 0)
    self.y_hat = self.transform.net((self.xi / 255.0))
    self.y_hat = tf.squeeze(self.y_hat)
    self.y_hat = tf.clip_by_value(self.y_hat, 0.0, 255.0)