code: def _test_up_to_5D_all_axis_combinations(device):
      batch_size = 5
      for batch_norm in [False, True]:
          for dim in range(1, 6):
              for axes in all_axes(dim):
                  yield _run_test, device, batch_size, dim, axes, None, batch_norm
                  if axes is not None and dim < 5:
                      axis_names = axes2names(axes)
                      yield _run_test, device, batch_size, dim, None, axis_names, batch_norm
  
imports: from nvidia.dali.pipeline import Pipeline
  from nvidia.dali import backend
  import nvidia.dali.ops
  import numpy
  from test_utils import dali_type
  from nvidia.dali import fn, pipeline_def, types
  from nose2.tools import params
label_desc: Use image node_id 19 for calling a global function with example usage: _test_up_to_5D_all_axis_combinations(device) without return types