code: def test_slice_vs_fused_decoder():
      for device in ["cpu", "gpu"]:
          for batch_size in {1}:
              for axes, axis_names in [
                  (None, "WH"),
                  (None, "HW"),
                  ((1, 0), None),
                  ((0, 1), None),
              ]:
                  yield check_slice_vs_fused_decoder, device, batch_size, axes, axis_names
  
imports: from nvidia.dali import Pipeline, pipeline_def, ops, fn, types
  import numpy
  import os
  from functools import partial
  from math import floor
  from test_utils import compare_pipelines, get_dali_extra_path, RandomDataIterator, generator_random_axes_for_3d_input, generator_random_data, as_array
  from nose_utils import assert_raises
  from nose2.tools import params
label_desc: Use image node_id 7 for calling a global function with example usage: test_slice_vs_fused_decoder() without return types