code: def test_global_norm_clip_multi_device():
      for check_isfinite in [True, False]:
          x1 = mx.np.ones((3, 3), device=mx.gpu(0))
          x2 = mx.np.ones((4, 4), device=mx.cpu(0))
          x3 = mx.np.ones((7, 4), device=mx.gpu(0))
          x4 = mx.np.ones((7, 4), device=mx.cpu(0))
          norm = gluon.utils.clip_global_norm(
              [x1, x2, x3, x4], 1.0, check_isfinite=check_isfinite
          )
          if check_isfinite:
              assert norm == 9.0
          else:
              assert norm.item() == 9.0
          assert_almost_equal(x1, _np.ones((3, 3)) / 9)
          assert_almost_equal(x2, _np.ones((4, 4)) / 9)
          assert_almost_equal(x3, _np.ones((7, 4)) / 9)
          assert_almost_equal(x4, _np.ones((7, 4)) / 9)
  
imports: import sys
  import os
  import time
  import random
  import mxnet
  import multiprocessing
  from mxnet.test_utils import check_consistency, set_default_device, assert_almost_equal, rand_ndarray, environment
  import numpy
  import math
  from mxnet import autograd
  import pytest
  from common import assert_raises_cudnn_not_satisfied, run_in_spawned_process, random_seed
  from test_gluon import *
  from test_loss import *
  from test_numpy_loss import *
  from test_gluon_rnn import *
label_desc: Use image node_id 13 for calling a global function with example usage: test_global_norm_clip_multi_device() without return types