code: def test_distrib_xla_nprocs(xmp_executor):
      n = int(os.environ["NUM_TPU_WORKERS"])
      xmp_executor(_test_distrib_xla_nprocs, args=(), nprocs=n)
  
imports: import os
  import numpy
  import pytest
  import torch
  from torch.nn import Linear
  from torch.optim import SGD
  import ignite.distributed
  from ignite.engine import Engine
  from ignite.exceptions import NotComputableError
  from ignite.metrics.accumulation import Average, GeometricAverage, VariableAccumulation
label_desc: Use image node_id 22 for calling a global function with example usage: test_distrib_xla_nprocs(xmp_executor) without return types