class_docstr: LM1b and MNLI mixed problem class for multitask learning.
code: def __init__(self, was_reversed=False, was_copy=False):
      super(LanguagemodelLm1bMultiNLISubwords, self).__init__(
          was_reversed, was_copy
      )
      self.task_list.append(lm1b.LanguagemodelLm1b32k())
      self.task_list.append(multinli.MultiNLISharedVocab())
  
file_path: tensor2tensor/tensor2tensor/data_generators/lm1b_mnli.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.data_generators import lm1b
  from tensor2tensor.data_generators import multi_problem
  from tensor2tensor.data_generators import multinli
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
label_desc: Use image node_id 1 to create a new LanguagemodelLm1bMultiNLISubwords object from inherited base classes: multi_problem with example: obj = LanguagemodelLm1bMultiNLISubwords(was_reversed, was_copy)