code: def base_architecture(args):
      s2t_base_architecture(args)
      args.encoder_attn_head_select = getattr(
          args, "encoder_attn_head_select", False
      )
      args.decoder_self_attn_head_select = getattr(
          args, "decoder_self_attn_head_select", False
      )
      args.dec_enc_attn_head_select = getattr(
          args, "dec_enc_attn_head_select", False
      )
      args.total_encoder_attention_heads = getattr(
          args, "total_encoder_attention_heads", 8
      )
      args.total_decoder_attention_heads = getattr(
          args, "total_decoder_attention_heads", 8
      )
      args.attn_head_select_strategy = getattr(
          args, "attn_head_select_strategy", "group"
      )
  
imports: import logging
  from typing import Dict, List, Optional
  from pathlib import Path
  import torch.nn
  from torch import Tensor
  from fairseq import checkpoint_utils
  from fairseq.models import register_model, register_model_architecture
  from fairseq.utils import safe_hasattr
  from fairseq.models.speech_to_text.s2t_transformer import S2TTransformerModel, S2TTransformerEncoder, TransformerDecoderScriptable
  from fairseq.models.speech_to_text.s2t_transformer import base_architecture
  from ..modules.attn_head_selector import AttnHeadSelector
  from ..modules.head_selection_transformer_layer import HeadSelectionTransformerEncoderLayer
  from .head_selection_transformer import HeadSelectionTransformerDecoder
label_desc: Use image node_id 1 for calling a global function with example usage: base_architecture(args) without return types