code: def get_zipped_dataset_from_png_files(
      output_files, target_files, video_length, frame_shape
  ):
      outputs, len_ = load_videos(
          output_files, video_length, frame_shape
      )
      targets, len_ = load_videos(
          target_files, video_length, frame_shape
      )
      zipped_dataset = tf.data.Dataset.zip((outputs, targets))
      num_videos = len_ // video_length
      iterator = zipped_dataset.make_one_shot_iterator()
      return iterator, None, num_videos
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  import six
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling a global function with example usage: get_zipped_dataset_from_png_files(output_files, target_files, video_length, frame_shape) and returns: iterator,  None,  num_videos