code: def __init__(self, cfg: D2vDecoderConfig, input_dim, encoder):
      super().__init__()
  
      self.decoder_cfg = cfg
  
      self.input_proj = nn.Linear(input_dim, cfg.decoder_dim)
  
      self.encoder = encoder
  
      self.proj = nn.Linear(cfg.decoder_dim, input_dim)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import numpy
  from dataclasses import dataclass
  from fairseq.modules import LayerNorm, SamePad, SamePad2d, TransposeLast
label_desc: Use image node_id 1 to create a new TransformerDecoder object from inherited base classes: nn with example: obj = TransformerDecoder(cfg, input_dim, encoder)