code: def forward(
      self, x: Tensor, edge_attr: Tensor
  ) -> Tuple[Tensor, Tensor]:
      x = self.lin1(x)
      edge_attr = self.lin2(edge_attr)
      return x, edge_attr
  
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 2 for calling the Net1 obj's underlying member method code with example usage: obj.forward(x, edge_attr) and returns: x,  edge_attr