code: def generate_dataset(
      h5_filepath,
      key_prefix,
      out_filepaths,
      chunk_size=1,
      start_idx=None,
      end_idx=None,
  ):
      print(
          "PID: %d, Key: %s, (Start, End): (%s, %s)"
          % (os.getpid(), key_prefix, start_idx, end_idx)
      )
      generator_utils.generate_files(
          dataset_generator(
              h5_filepath, key_prefix, chunk_size, start_idx, end_idx
          ),
          out_filepaths,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import multiprocessing
  import os
  import h5py
  import numpy
  from six.moves import range
  from tensor2tensor.data_generators import dna_encoder
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: generate_dataset(h5_filepath, key_prefix, out_filepaths, chunk_size, start_idx, end_idx) without return types