code: def test_cache_headers(device):
      type = np.float32
      ndim = 2
      shapes = test_shapes[ndim]
      num_threads = 3
      batch_size = 3
      cache_header_information = True
      fortran_order = False
      file_arg_type = "files"
      _testimpl_types_and_shapes(
          device,
          shapes,
          type,
          batch_size,
          num_threads,
          fortran_order,
          file_arg_type,
          cache_header_information,
      )
  
imports: from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.fn
  import nvidia.dali.types
  import nvidia.dali.backend
  import numpy
  from numpy.testing import assert_array_equal
  import os
  import platform
  import random
  import tempfile
  from nose_utils import assert_raises
  from nose import SkipTest
  from nose2.tools import params, cartesian_params
  from test_utils import compare_pipelines, to_array
label_desc: Use image node_id 12 for calling a global function with example usage: test_cache_headers(device) without return types