code: def forward(self, g, h):
      for gnn in self.layers:
          h = gnn(g, h)
  
      return self.predict(h)
  
file_path: AutoGL/test/performance/heterogeneous/dgl/han_base/model_hetero.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import dgl
  from dgl.nn.pytorch import GATConv
label_desc: Use image node_id 2 for calling the HAN obj's underlying member method code with example usage: obj.forward(g, h) and returns: self