code: def __init__(self, features, n_hidden=64, temperature=1) -> None:
      super(aug_module, self).__init__()
      self.g_encoder = GCN_Body(
          in_feats=features.shape[1],
          n_hidden=n_hidden,
          out_feats=n_hidden,
          dropout=0.1,
          nlayer=1,
      )
      self.Aaug = MLPA(
          in_feats=n_hidden, dim_h=n_hidden, dim_z=features.shape[1]
      )
      self.Xaug = MLPX(
          in_feats=n_hidden,
          n_hidden=n_hidden,
          out_feats=features.shape[1],
          dropout=0.1,
      )
  
      self.temperature = temperature
  
file_path: DIG/dig/fairgraph/method/Graphair/aug_module.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import pyro
  from .GCN import GCN_Body
label_desc: Use image node_id 1 to create a new aug_module object from inherited base classes: torch.nn with example: obj = aug_module(features, n_hidden, temperature)