code: def __init__(self, input_dim, hidden_units=128):
      super(MLP, self).__init__()
      self.layers = nn.Sequential(
          init_layer(nn.Linear(input_dim, hidden_units)),
          nn.ReLU(),
          init_layer(nn.Linear(hidden_units, 1)),
          nn.Sigmoid(),
      )
  
file_path: DIG/dig/ggraph3D/method/G_SphereNet/model/net_utils.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new MLP object from inherited base classes: nn with example: obj = MLP(input_dim, hidden_units)