code: def __init__(self):
      super().__init__()
      self.conv1 = SAGEConv(16, 16)
      self.conv2 = SAGEConv(16, 16)
      self.lin1 = Linear(3 * 16, 32)
  
imports: from typing import Tuple
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear, ReLU, Sequential
  import torch_geometric.typing
  from torch_geometric.nn import GINEConv, MessagePassing, RGCNConv, SAGEConv, to_hetero_with_bases
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 1 to create a new Net4 object from inherited base classes: torch.nn with example: obj = Net4()