code: def set_global_variables(
      extra_args_provider=None,
      args_defaults={},
      override_args={},
      ignore_unknown_args=False,
  ):
      """Set args, tokenizer, tensorboard-writer, adlr-autoresume, and timers."""
      args = _parse_args(
          extra_args_provider=extra_args_provider,
          defaults=args_defaults,
          override_args=override_args,
          ignore_unknown_args=ignore_unknown_args,
      )
      # _build_num_microbatches_calculator(args)
      # if args.vocab_file:
      #     _ = _build_tokenizer(args)
      _set_tensorboard_writer(args)
      _set_adlr_autoresume(args)
      _set_timers()
  
imports: import os
  import sys
  import time
  import torch
  from apex.transformer.microbatches import build_num_microbatches_calculator
  from .arguments import parse_args
label_desc: Use image node_id 8 for calling a global function with example usage: set_global_variables(extra_args_provider, args_defaults, override_args, ignore_unknown_args) without return types