Created by: dbsxdbsx

如SAC算法中：

class ActorModel(parl.Model):
    def __init__(self, act_dim):
        hid1_size = 400
        hid2_size = 300

        self.fc1 = layers.fc(size=hid1_size, act='relu')
        self.fc2 = layers.fc(size=hid2_size, act='relu')
        self.mean_linear = layers.fc(size=act_dim)
        self.log_std_linear = layers.fc(size=act_dim)

    def policy(self, obs):
        hid1 = self.fc1(obs)
        hid2 = self.fc2(hid1)
        means = self.mean_linear(hid2)
        log_std = self.log_std_linear(hid2)
        log_std = layers.clip(log_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX)

        return means, log_std

这里的layers.fc都不用输入input参数的，但是看了下parl.layers不就是继承的paddle.fluid.layers么，为何在其他地方实验行不通呢？