code: def s2t_transformer_sp(args):
      args.encoder_layers = getattr(args, "encoder_layers", 16)
      s2t_transformer_s(args)
  
imports: import logging
  import math
  from pathlib import Path
  from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq import checkpoint_utils, utils
  from fairseq.data.data_utils import lengths_to_padding_mask
  from fairseq.models import FairseqEncoder, FairseqEncoderDecoderModel, register_model, register_model_architecture
  from fairseq.models.speech_to_text.hub_interface import S2THubInterface
  from fairseq.models.speech_to_text.modules.convolution import Conv1dSubsampler, Conv2dSubsampler
  from fairseq.models.transformer import Embedding, TransformerDecoder
  from fairseq.modules import FairseqDropout, LayerNorm, PositionalEmbedding, TransformerEncoderLayer
label_desc: Use image node_id 4 for calling a global function with example usage: s2t_transformer_sp(args) without return types