code: def __init__(self):
      super().__init__()
  
      # Input channels account for both `pos` and node features.
      self.sa1_module = SAModule(0.5, 0.2, MLP([3, 64, 64, 128]))
      self.sa2_module = SAModule(
          0.25, 0.4, MLP([128 + 3, 128, 128, 256])
      )
      self.sa3_module = GlobalSAModule(MLP([256 + 3, 256, 512, 1024]))
  
      self.mlp = MLP([1024, 512, 256, 10], dropout=0.5, norm=None)
  
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import ModelNet
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import MLP, PointNetConv, fps, global_max_pool, radius
  from torch_geometric.typing import WITH_TORCH_CLUSTER
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()