code: def run_max_memory_used_slowmo_memory_efficient(
      rank: int, world_size: int, tempfile_1: str, tempfile_2: str
  ):
      int_devices = get_gpus_for_rank(world_size)[rank][:1]
      devices = [torch.device("cuda:" + str(i)) for i in int_devices]
  
      max_memory_local = run_test_memory_usage_localsgd_with_slowmo(
          rank,
          world_size,
          tempfile_1,
          {"localsgd_frequency": 1},
          use_gossip_data_parallel=False,
      )
      max_memory_slowmo = run_test_memory_usage_localsgd_with_slowmo(
          rank,
          world_size,
          tempfile_2,
          {
              "slowmo_base_algorithm": gossip.SlowMoBaseAlgorithm.LOCALSGD,
              "localsgd_frequency": 100,  # This is so that localsgd does not occur
              "nprocs_per_node": 1,
              "slowmo_momentum": 0.5,
              "slowmo_frequency": 1,
              "slowmo_memory_efficient": True,
          },
          use_gossip_data_parallel=True,
      )
  
      extra_memory_used_by_slowmo = max_memory_slowmo - max_memory_local
  
      model_memory_usage = find_memory_used_by_model(
          LargeNet, devices[0]
      )
      # This try-catch block is to prevent a flaky test failure in which model_memory_usage is 0
      try:
          # Just setting a number below to match what I found here. This test needs to be revised
          assert (
              extra_memory_used_by_slowmo / model_memory_usage
              == pytest.approx(1.0, 0.1)
          )
      except (ZeroDivisionError, AssertionError):
          if rank == 0:
              print("Skipping flaky test due to memory error")
  
imports: import copy
  import os
  import tempfile
  from typing import Any, Dict, List, Tuple, Type
  import unittest
  import pytest
  import torch
  from torch import nn
  import torch.distributed
  import torch.nn.functional
  import fairscale.experimental.nn.data_parallel.gossip
  from fairscale.fair_dev.testing.testing import skip_if_single_gpu, spawn_for_all_world_sizes
label_desc: Use image node_id 13 for calling a global function with example usage: run_max_memory_used_slowmo_memory_efficient(rank, world_size, tempfile_1, tempfile_2) without return types