code: def berard_256_3_3(args):
      """Used in
      * "Harnessing Indirect Training Data for End-to-End Automatic Speech
      Translation: Tricks of the Trade" (https://arxiv.org/abs/1909.06515)
      * "CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus"
      (https://arxiv.org/pdf/2002.01320.pdf)
      * "Self-Supervised Representations Improve End-to-End Speech Translation"
      (https://arxiv.org/abs/2006.12124)
      """
      args.decoder_num_layers = getattr(args, "decoder_num_layers", 3)
      berard(args)
  
imports: from ast import literal_eval
  from typing import List, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq import checkpoint_utils, utils
  from fairseq.data.data_utils import lengths_to_padding_mask
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, FairseqIncrementalDecoder, register_model, register_model_architecture
label_desc: Use image node_id 2 for calling a global function with example usage: berard_256_3_3(args) without return types