code: def check_slice_vs_fused_decoder(
      device, batch_size, axes, axis_names
  ):
      eii_args = [
          SliceArgsIterator(
              batch_size,
              image_layout="HWC",
              axes=axes,
              axis_names=axis_names,
          )
          for k in range(2)
      ]
      compare_pipelines(
          SlicePipeline(
              device,
              batch_size,
              iter(eii_args[0]),
              axes=axes,
              axis_names=axis_names,
              is_fused_decoder=False,
          ),
          SlicePipeline(
              device,
              batch_size,
              iter(eii_args[1]),
              axes=axes,
              axis_names=axis_names,
              is_fused_decoder=True,
          ),
          batch_size=batch_size,
          N_iterations=3,
      )
  
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 6 for calling a global function with example usage: check_slice_vs_fused_decoder(device, batch_size, axes, axis_names) without return types