code: def __init__(self, ratio, r, nn):
      super().__init__()
      self.ratio = ratio
      self.r = r
      self.conv = PointNetConv(nn, add_self_loops=False)
  
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 SAModule object from inherited base classes: torch.nn with example: obj = SAModule(ratio, r, nn)