code: def dataset_inputs_compatible_tensorflow():
      """Returns ``True`` if the current TensorFlow version is compatible with
      experimental.DALIDatasetWithInputs and input Datasets can be used with DALI.
      """
      return LooseVersion(tf.__version__) >= LooseVersion("2.4.1")
  
imports: import sys
  import tensorflow
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import tensor_shape
  from nvidia.dali import types
  from nvidia.dali import internal
  from nvidia.dali.external_source import _is_external_source, _has_external_source
  from nvidia.dali.external_source import _is_external_source_with_callback
  from nvidia.dali._utils.external_source_impl import _get_generator_from_source_desc
  from nvidia.dali._utils.external_source_impl import _cycle_enabled
  from distutils.version import LooseVersion
  import warnings
  from nvidia.dali_tf_plugin import dali_tf_plugin
  from collections.abc import Mapping, Iterable
label_desc: Use image node_id 7 for calling a global function with example usage: dataset_inputs_compatible_tensorflow() and returns: unknown