code: def get_pp_clip_i1k_label_names():
      """Convert i1k label numbers to strings, using CLIP's class names."""
  
      def _pp_imagenet_labels(label):
          return tf.reshape(
              tf.gather(
                  imagenet_class_names.CLIP_IMAGENET_CLASS_NAMES, label
              ),
              (-1,),
          )
  
      return _pp_imagenet_labels
  
imports: import functools
  from big_vision.datasets.imagenet import class_names
  import numpy
  from scenic.dataset_lib import dataset_utils
  from scenic.dataset_lib.big_transfer import registry
  from scenic.dataset_lib.big_transfer.preprocessing import utils
  from scenic.projects.t5 import tokenizer
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_pp_clip_i1k_label_names() and returns: _pp_imagenet_labels, tf