code: def _test_distrib_xla_nprocs(index):
      device = idist.device()
      _test_distrib_multiclass_images(device)
      _test_distrib_accumulator_device(device)
  
imports: import os
  import numpy
  import pytest
  import torch
  from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, recall_score
  import ignite.distributed
  from ignite.exceptions import NotComputableError
  from ignite.metrics import ConfusionMatrix, IoU, JaccardIndex, mIoU
  from ignite.metrics.confusion_matrix import cmAccuracy, cmPrecision, cmRecall, DiceCoefficient
label_desc: Use image node_id 26 for calling a global function with example usage: _test_distrib_xla_nprocs(index) without return types