code: def test_auto_methods_xla_nprocs(xmp_executor):
      n = int(os.environ["NUM_TPU_WORKERS"])
      xmp_executor(_test_auto_methods_xla, args=(n,), nprocs=n)
  
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 12 for calling a global function with example usage: test_auto_methods_xla_nprocs(xmp_executor) without return types