code: def __init__(
      self,
      src_vocab_size,
      tgt_vocab_size,
      n_layers,
      hidden_dim,
      n_heads,
  ):
      super().__init__()
  
      self.encoder = TransformerEncoder(
          src_vocab_size, n_layers, hidden_dim, n_heads
      )
      self.decoder = TransformerDecoder(
          tgt_vocab_size, n_layers, hidden_dim, n_heads
      )
      self.output_dense = nn.Linear(hidden_dim, tgt_vocab_size)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  import copy
label_desc: Use image node_id 1 to create a new TransformerForSeq2Seq object from inherited base classes: nn with example: obj = TransformerForSeq2Seq(src_vocab_size, tgt_vocab_size, n_layers, hidden_dim, n_heads)