def berard(args):
    """The original version: "End-to-End Automatic Speech Translation of
    Audiobooks" (https://arxiv.org/abs/1802.04200)
    """
    args.input_layers = getattr(args, "input_layers", "[256, 128]")
    args.conv_layers = getattr(args, "conv_layers", "[(16, 3, 2), (16, 3, 2)]")
    args.num_blstm_layers = getattr(args, "num_blstm_layers", 3)
    args.lstm_size = getattr(args, "lstm_size", 256)
    args.dropout = getattr(args, "dropout", 0.2)
    args.decoder_embed_dim = getattr(args, "decoder_embed_dim", 128)
    args.decoder_num_layers = getattr(args, "decoder_num_layers", 2)
    args.decoder_hidden_dim = getattr(args, "decoder_hidden_dim", 512)
    args.attention_dim = getattr(args, "attention_dim", 512)
    args.output_layer_dim = getattr(args, "output_layer_dim", 128)
    args.load_pretrained_encoder_from = getattr(
        args, "load_pretrained_encoder_from", None
    )
    args.load_pretrained_decoder_from = getattr(
        args, "load_pretrained_decoder_from", None
    )
The original version: "End-to-End Automatic Speech Translation of
    Audiobooks" (https://arxiv.org/abs/1802.04200)
    
structured_prompting/fairseq-version/fairseq/fairseq/models/speech_to_text/berard.py