code: def get_checkpoint_tracker_filename(checkpoints_path):
      """Tracker file rescords the latest chckpoint during
      training to restart from."""
      return os.path.join(
          checkpoints_path, "latest_checkpointed_iteration.txt"
      )
  
imports: import os
  import random
  import sys
  import numpy
  import torch
  from megatron import update_num_microbatches
  from megatron.core import mpu, tensor_parallel
  from .global_vars import get_args
  from .utils import unwrap_model, print_rank_0
label_desc: Use image node_id 8 for calling a global function with example usage: get_checkpoint_tracker_filename(checkpoints_path) and returns: os