code: def forward(self, h, blocks):
      for layer, block in zip(self.layers, blocks):
          h = layer(block, h)
      return h
  
imports: import itertools
  import time
  import traceback
  import dgl
  import dgl.nn.pytorch
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.utils.data import DataLoader
  from ..None import utils
label_desc: Use image node_id 2 for calling the EntityClassify obj's underlying member method code with example usage: obj.forward(h, blocks) and returns: h