code: def test_image_decoder():
      for device in {"cpu", "mixed"}:
          for batch_size in {1, 10}:
              for img_type in test_good_path:
                  for threads in {1, random.choice([2, 3, 4])}:
                      data_path = os.path.join(
                          test_data_root, good_path, img_type
                      )
                      yield run_decode, img_type, data_path, batch_size, device, threads
              for img_type in test_misnamed_path:
                  for threads in {1, random.choice([2, 3, 4])}:
                      data_path = os.path.join(
                          test_data_root, misnamed_path, img_type
                      )
                      yield run_decode, img_type, data_path, batch_size, device, threads
  
imports: import glob
  import math
  import numpy
  import nvidia.dali.backend
  import nvidia.dali.fn
  import nvidia.dali.types
  import os
  import random
  from nvidia.dali import pipeline_def
  from nose2.tools import params
  from nose_utils import assert_raises
  from test_utils import check_output_pattern
  from test_utils import compare_pipelines
  from test_utils import get_dali_extra_path
  from test_utils import to_array
label_desc: Use image node_id 4 for calling a global function with example usage: test_image_decoder() without return types