code: def base_laser_transformer_architecture(args):
      base_architecture(args)
      args.decoder_lang_embed_dim = getattr(
          args, "decoder_lang_embed_dim", 0
      )
  
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 1 for calling a global function with example usage: base_laser_transformer_architecture(args) without return types