code: def forward(self, x: Tensor, edge_index: Adj) -> Tensor:
      # propagate_type: (x: Tensor)
      return self.propagate(edge_index, x=x)
  
imports: import copy
  from typing import Tuple, Union
  import pytest
  import torch
  from torch import Tensor
  from torch.nn import Linear
  import torch_geometric.typing
  from torch_geometric.nn import MessagePassing, aggr
  from torch_geometric.typing import Adj, OptPairTensor, OptTensor, Size, SparseTensor
  from torch_geometric.utils import add_self_loops, scatter, spmm, to_torch_csc_tensor
label_desc: Use image node_id 2 for calling the MyAggregatorConv obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: self