code: def test_auto_methods_nccl(distributed_context_single_node_nccl):
      ws = distributed_context_single_node_nccl["world_size"]
      _test_auto_dataloader(ws=ws, nproc=ws, batch_size=1)
      _test_auto_dataloader(
          ws=ws, nproc=ws, batch_size=10, num_workers=10
      )
      _test_auto_dataloader(
          ws=ws,
          nproc=ws,
          batch_size=1,
          sampler_name="WeightedRandomSampler",
      )
      _test_auto_dataloader(
          ws=ws,
          nproc=ws,
          batch_size=1,
          sampler_name="DistributedSampler",
      )
  
      device = idist.device()
      _test_auto_model_optimizer(ws, device)
  
      if ws > 1:
          with pytest.raises(
              ValueError,
              match=r"Argument kwargs should not contain 'device_ids'",
          ):
              auto_model(nn.Linear(1, 1), device_ids=[0])
  
imports: import os
  import pytest
  import torch
  import torch.nn
  import torch.optim
  from torch.utils.data import DataLoader
  from torch.utils.data.dataloader import _InfiniteConstantSampler
  from torch.utils.data.dataset import Dataset, IterableDataset
  from torch.utils.data.distributed import DistributedSampler
  from torch.utils.data.sampler import BatchSampler, RandomSampler, Sampler, SequentialSampler, WeightedRandomSampler
  import ignite.distributed
  from ignite.distributed.auto import auto_dataloader, auto_model, auto_optim, DistributedProxySampler
label_desc: Use image node_id 9 for calling a global function with example usage: test_auto_methods_nccl(distributed_context_single_node_nccl) without return types