code: def example_generator():
      for i, t in zip(INPUTS, TARGETS):
          yield {"inputs": list(i), "targets": list(t)}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gzip
  import io
  import os
  import tempfile
  from builtins import bytes
  from tensor2tensor.data_generators import generator_utils
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: example_generator() without return types