code: def __init__(self, vocab, hidden_dims):
      super().__init__()
  
      self.emb = nn.Embedding(
          len(vocab.get_itos()),
          hidden_dims,
          padding_idx=vocab.get_stoi()["<pad>"],
      )
      nn.init.xavier_uniform_(self.emb.weight)
  
imports: import dgl
  import dgl.function
  import dgl.nn.pytorch
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new BagOfWords object from inherited base classes: nn with example: obj = BagOfWords(vocab, hidden_dims)