code: def forward(self, x):
      if x.dim() == 2:
          bias = self._bias.t().view(1, -1)
      else:
          bias = self._bias.t().view(1, -1, 1, 1)
  
      return x + bias
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/ppo/distributions.py
imports: import math
  import torch
label_desc: Use image node_id 2 for calling the AddBias obj's underlying member method code with example usage: obj.forward(x) and returns: unknown