code: def _token_counts(text, token_set=None):
      counts = collections.defaultdict(int)
      for token in tokenizer.encode(
          text_encoder.native_to_unicode(text)
      ):
          if token_set and token not in token_set:
              continue
          counts[token] += 1
      return counts
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import json
  import math
  import os
  import re
  import string
  import tempfile
  import six
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import tokenizer
  from tensor2tensor.data_generators.wikisum import utils
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 9 for calling a global function with example usage: _token_counts(text, token_set) and returns: counts