code: def __init__(self, num_inputs, num_outputs):
      super().__init__()
  
      init_ = lambda m: init(
          m,
          torch.nn.init.orthogonal_,
          lambda x: torch.nn.init.constant_(x, 0),
          gain=0.01,
      )
  
      self.linear = init_(torch.nn.Linear(num_inputs, num_outputs))
  
file_path: SerpentAI/serpent/machine_learning/reinforcement_learning/ppo/distributions.py
imports: import math
  import torch
label_desc: Use image node_id 1 to create a new Categorical object from inherited base classes: torch.nn with example: obj = Categorical(num_inputs, num_outputs)