code: def get_distributed_optimizer_checkpoint_name(model_checkpoint_name):
      return os.path.join(
          os.path.dirname(model_checkpoint_name), "distrib_optim.pt"
      )
  
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 6 for calling a global function with example usage: get_distributed_optimizer_checkpoint_name(model_checkpoint_name) and returns: os