code: def forward(self, obs):
      return torch.squeeze(self.v_net(obs), -1)
  
imports: import numpy
  import scipy.signal
  from gym.spaces import Box, Discrete
  import torch
  import torch.nn
  from torch.distributions.normal import Normal
  from torch.distributions.categorical import Categorical
label_desc: Use image node_id 2 for calling the MLPCritic obj's underlying member method code with example usage: obj.forward(obs) and returns: torch