code: def forward(self, x: torch.Tensor, act_type: str) -> torch.Tensor:
      return self.acts[act_type](x)
  
imports: from typing import Optional
  import pytest
  import torch
  from torch import Tensor, nn
  import torch_geometric.typing
  from torch_geometric.nn import Linear, SAGEConv, summary, to_hetero
  from torch_geometric.nn.models import GCN
  from torch_geometric.testing import withPackage
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 2 for calling the ModuleDictModel obj's underlying member method code with example usage: obj.forward(x, act_type) and returns: self