code: def train(epoch):
      model.train()
  
      for data in train_loader:
          data = data.to(device)
          optimizer.zero_grad()
          loss = F.nll_loss(model(data), data.y)
          loss.backward()
          optimizer.step()
  
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 for calling a global function with example usage: train(epoch) without return types