message: Add input and sequence_length accessor to TrainingHelper.
diff: @@ -184,6 +184,7 @@ class TrainingHelper(Helper):
  """
  with ops.name_scope(name, "TrainingHelper", [inputs, sequence_length]):
  inputs = ops.convert_to_tensor(inputs, name="inputs")
  + self._inputs = inputs
  if not time_major:
  inputs = nest.map_structure(_transpose_batch_time, inputs)
  @@ -200,6 +201,14 @@ class TrainingHelper(Helper):
  self._batch_size = array_ops.size(sequence_length)
  + @property
  + def inputs(self):
  + return self._inputs
  +
  + @property
  + def sequence_length(self):
  + return self._sequence_length
  +
  @property
  def batch_size(self):
  return self._batch_size
  