code: def _pack_sequences_k(
      inputs, targets, input_max_length, target_max_length
  ):
      """Wrapper for pack_sequences_k with same interface as pack_sequences_2."""
      inputs = tf.convert_to_tensor(inputs, tf.int32)
      targets = tf.convert_to_tensor(targets, tf.int32)
      input_max_length = tf.convert_to_tensor(
          input_max_length, dtype=tf.int32
      )
      target_max_length = tf.convert_to_tensor(
          target_max_length, dtype=tf.int32
      )
      (
          packed,
          segmentation,
          position,
      ) = pack_sequences_ops.pack_sequences_k(
          [inputs, targets], [input_max_length, target_max_length]
      )
      (inputs_packed, targets_packed) = packed
      (inputs_segmentation, targets_segmentation) = segmentation
      (inputs_position, targets_position) = position
      return (
          inputs_packed,
          inputs_segmentation,
          inputs_position,
          targets_packed,
          targets_segmentation,
          targets_position,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators.ops import pack_sequences_ops
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: _pack_sequences_k(inputs, targets, input_max_length, target_max_length) and returns: inputs_packed,  inputs_segmentation,  inputs_position,  targets_packed,  targets_segmentation,  targets_position