import tensorflow as tf

                                      'c3',
                                      nf=64,
                                      rf=3,
                                      stride=1,
                                      init_scale=np.sqrt(2)))
            nh = np.prod([v.value for v in c3.get_shape()[1:]])
            h3 = tf.reshape(c3, [-1, nh])
            pre_s = tf.nn.relu(self.fc(h3,
                                       'fc1',
                                       nh=512,
                                       init_scale=np.sqrt(2)))
            l1 = tf.layers.dense(inputs=pre_s,
