class_docstr: Lambada as reading comprehension task.
class_docstr_tok: ["Lambada","as","reading","comprehension","task","."]
docstr: Returns problem_hparams.
  
  Args:
    defaults: default hyperparameters
    unused_model_hparams: model hyperparameters
code: def hparams(self, defaults, unused_model_hparams):
      """Returns problem_hparams.
  
      Args:
        defaults: default hyperparameters
        unused_model_hparams: model hyperparameters
  
      """
  
      p = defaults
      p.modality = {
          "inputs": modalities.ModalityType.SYMBOL,
          "targets": modalities.ModalityType.CLASS_LABEL,
      }
      p.vocab_size = {
          "inputs": self._encoders["inputs"].vocab_size,
          "targets": self._encoders["targets"].vocab_size,
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  import os
  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.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 11 for calling the LambadaRc obj's underlying member method code with example usage: obj.hparams(defaults, unused_model_hparams) without return types