code: def _init_autoresume():
      """Set autoresume start time."""
      autoresume = get_adlr_autoresume()
      if autoresume:
          torch.distributed.barrier()
          autoresume.init()
          torch.distributed.barrier()
  
imports: import random
  import os
  import time
  import numpy
  import torch
  from datetime import timedelta
  from megatron import fused_kernels
  from megatron import get_adlr_autoresume
  from megatron import get_args
  from megatron import get_tensorboard_writer
  from megatron.core import mpu, tensor_parallel
  from megatron.arguments import parse_args, validate_args
  from megatron.checkpointing import load_args_from_checkpoint
  from megatron.global_vars import set_global_variables
  from megatron.model.transformer import bias_dropout_add_fused_train
  from megatron.model.fused_bias_gelu import bias_gelu
label_desc: Use image node_id 5 for calling a global function with example usage: _init_autoresume() without return types