code: def to_example(dictionary):
    
    features = {}
    for (k, v) in six.iteritems(dictionary):
      if not v:
        raise ValueError("Empty generated field: %s" % str((k, v)))
      if isinstance(v[0], six.integer_types):
        features[k] = tf.train.Feature(int64_list=tf.train.Int64List(value=v))
      elif isinstance(v[0], float):
        features[k] = tf.train.Feature(float_list=tf.train.FloatList(value=v))
      elif isinstance(v[0], six.string_types):
        if not six.PY2:  # Convert in python 3.
          v = [bytes(x, "utf-8") for x in v]
        features[k] = tf.train.Feature(bytes_list=tf.train.BytesList(value=v))
      elif isinstance(v[0], bytes):
        features[k] = tf.train.Feature(bytes_list=tf.train.BytesList(value=v))
      else:
        raise ValueError("Value for %s is not a recognized type; v: %s type: %s" %
                         (k, str(v[0]), str(type(v[0]))))
    return tf.train.Example(features=tf.train.Features(feature=features))
docs: Helper: build tf.Example from (string -> int/float/str list) dictionary.