code: def forward(self, x: Tensor, batch: Tensor) -> Tensor:
      x = self.encoder(x)
      x = self.aggr(x, batch)
      x = self.decoder(x)
      return x
  
imports: import argparse
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import LCMAggregation
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 2 for calling the LCM obj's underlying member method code with example usage: obj.forward(x, batch) and returns: x