class_docstr: Summarize CNN and Daily Mail articles using multi-lingual 64k vocab.
class_docstr_tok: ["Summarize","CNN","and","Daily","Mail","articles","using","multi-lingual","64k","vocab","."]
code: def packed_length(self):
      return 1024
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import hashlib
  import io
  import os
  import random
  import tarfile
  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 text_problems
  from tensor2tensor.data_generators import wiki_lm
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the SummarizeCnnDailymailMulti64kPacked1k obj's underlying member method code with example usage: obj.packed_length() and returns: int