tensorflow/models · error · ValueError

Task not found: %s

Error message

Task not found: %s

What it means

Error "Task not found: %s" thrown in tensorflow/models.

Source

Thrown at official/legacy/xlnet/preprocess_classification_data.py:400

    tf_example = tf.train.Example(features=tf.train.Features(feature=features))
    writer.write(tf_example.SerializeToString())
  writer.close()


def main(_):
  logging.set_verbosity(logging.INFO)
  processors = {
      "mnli_matched": MnliMatchedProcessor,
      "mnli_mismatched": MnliMismatchedProcessor,
      "sts-b": StsbProcessor,
      "imdb": ImdbProcessor,
      "yelp5": Yelp5Processor
  }

  task_name = FLAGS.task_name.lower()

  if task_name not in processors:
    raise ValueError("Task not found: %s" % (task_name))

  processor = processors[task_name]()
  label_list = processor.get_labels() if not FLAGS.is_regression else None

  sp = spm.SentencePieceProcessor()
  sp.Load(FLAGS.spiece_model_file)

  def tokenize_fn(text):
    text = preprocess_utils.preprocess_text(text, lower=FLAGS.uncased)
    return preprocess_utils.encode_ids(sp, text)

  spm_basename = os.path.basename(FLAGS.spiece_model_file)

  train_file_base = "{}.len-{}.train.tf_record".format(spm_basename,
                                                       FLAGS.max_seq_length)
  train_file = os.path.join(FLAGS.output_dir, train_file_base)
  logging.info("Use tfrecord file %s", train_file)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/xlnet/preprocess_classification_data.py:400 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/dd6c60cc19cd33c1. Report an issue: GitHub.