code: def forward(self, x, pos, batch):
      x = self.nn(torch.cat([x, pos], dim=1))
      x = global_max_pool(x, batch)
      pos = pos.new_zeros((x.size(0), 3))
      batch = torch.arange(x.size(0), device=batch.device)
      return x, pos, batch
  
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 2 for calling the GlobalSAModule obj's underlying member method code with example usage: obj.forward(x, pos, batch) and returns: x,  pos,  batch