code: def base_architecture(args):
      transformer_base_architecture(args)
  
file_path: fairseq/fairseq/models/transformer_from_pretrained_xlm.py
imports: import os
  from typing import Any, Dict
  from fairseq import checkpoint_utils
  from fairseq.data.legacy.masked_lm_dictionary import MaskedLMDictionary
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.transformer import TransformerDecoder, TransformerEncoder, TransformerModel, base_architecture
label_desc: Use image node_id 2 for calling a global function with example usage: base_architecture(args) without return types