code: def test__native_dist_model_create_dist_gloo_1(
      init_method, get_fixed_dirname, local_rank, world_size
  ):
      if init_method == "FILE":
          init_method = f"file://{get_fixed_dirname('native_dist_model_create_dist_gloo_1')}/shared"
  
      device = torch.device(
          f"cuda:{local_rank}" if torch.cuda.is_available() else "cpu"
      )
      _test__native_dist_model_create_from_backend_dist(
          init_method,
          local_rank,
          local_rank,
          world_size,
          "gloo",
          device,
      )
  
      if init_method is None:
          _test__native_dist_model_create_from_backend_slurm(
              local_rank, local_rank, world_size, "gloo", device
          )
  
imports: import os
  import pytest
  import torch
  import torch.distributed
  from ignite.distributed.comp_models import has_native_dist_support
label_desc: Use image node_id 18 for calling a global function with example usage: test__native_dist_model_create_dist_gloo_1(init_method, get_fixed_dirname, local_rank, world_size) without return types