code: def forward(self, obs, **kwargs):
      obs = to_torch(obs, device=self.linear.weight.device)
      return self.linear(self.preprocess(obs)).squeeze(-1)
  
imports: from __future__ import annotations
  from copy import deepcopy
  from typing import Tuple, Callable
  import gym
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from typing_extensions import TypedDict
  from gym import spaces
  from tianshou.data import ReplayBuffer, Batch, to_torch, to_numpy
  from tianshou.policy import BasePolicy, PPOPolicy
  from nni.mutable import Categorical, CategoricalMultiple, Mutable, MutableAnnotation, Sample
label_desc: Use image node_id 2 for calling the Critic obj's underlying member method code with example usage: obj.forward(obs) and returns: self