code: def __init__(self, field, hidden_dims):
      super().__init__()
  
      self.emb = nn.Embedding(
          len(field.vocab.itos),
          hidden_dims,
          padding_idx=field.vocab.stoi[field.pad_token],
      )
      nn.init.xavier_uniform_(self.emb.weight)
  
imports: import argparse
  import pickle
  import time
  import dgl
  import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader, IterableDataset
  from ..None import utils
label_desc: Use image node_id 1 to create a new BagOfWords object from inherited base classes: nn with example: obj = BagOfWords(field, hidden_dims)