code: def __init__(self, *args, **kwargs):
      # Default value
      if "layers" not in kwargs:
          kwargs["layers"] = [8, 8]
      super(CustomSACPolicy, self).__init__(
          *args, **kwargs, feature_extraction="mlp"
      )
  
imports: import os
  import gym
  import pytest
  import tensorflow
  from stable_baselines import A2C, ACER, ACKTR, DQN, PPO1, PPO2, TRPO, SAC, DDPG
  from stable_baselines.common.policies import FeedForwardPolicy
  from stable_baselines.common.vec_env import DummyVecEnv
  from stable_baselines.deepq.policies import FeedForwardPolicy
  from stable_baselines.ddpg.policies import FeedForwardPolicy
  from stable_baselines.sac.policies import FeedForwardPolicy
label_desc: Use image node_id 1 to create a new CustomSACPolicy object from inherited base classes: SACPolicy with example: obj = CustomSACPolicy()