code: def build_decoder_layer(self, args, no_encoder_attn=False):
      decoder_embed_dim = args.decoder_embed_dim
      args.decoder_embed_dim = (
          decoder_embed_dim
          + self.lang_embed_dim
          + args.encoder_embed_dim
      )
      res = TransformerDecoderLayer(args, no_encoder_attn=True)
      args.decoder_embed_dim = decoder_embed_dim
  
      return res
  
imports: import logging
  from typing import Any, Dict, List, Optional
  from torch import Tensor
  import torch
  import torch.nn
  from fairseq.models import FairseqEncoderDecoderModel, register_model, register_model_architecture
  from fairseq.models.transformer import base_architecture, Embedding, TransformerModel, TransformerEncoder, TransformerDecoder
  from fairseq.modules import TransformerDecoderLayer
label_desc: Use image node_id 2 for calling the LaserTransformerDecoder obj's underlying member method code with example usage: obj.build_decoder_layer(args, no_encoder_attn) and returns: res