tensorflow/models · error · ValueError

Mode not found: %s.

Error message

Mode not found: %s.

What it means

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

Source

Thrown at official/legacy/detection/main.py:172

          min_eval_interval=params.eval.min_eval_interval,
          total_steps=params.train.total_steps)
    else:
      # Run evaluation once for a single checkpoint.
      if not checkpoint_path:
        raise ValueError('checkpoint_path cannot be empty.')
      if tf.io.gfile.isdir(checkpoint_path):
        checkpoint_path = tf.train.latest_checkpoint(checkpoint_path)
      summary_writer = executor.SummaryWriter(params.model_dir, 'eval')
      results, _ = dist_executor.evaluate_checkpoint(
          checkpoint_path=checkpoint_path,
          eval_input_fn=eval_input_fn,
          eval_metric_fn=model_builder.eval_metrics,
          summary_writer=summary_writer)
    for k, v in results.items():
      logging.info('Final eval metric %s: %f', k, v)
    return results
  else:
    raise ValueError('Mode not found: %s.' % mode)


def run(callbacks=None):
  """Runs the experiment."""
  keras_utils.set_session_config(enable_xla=FLAGS.enable_xla)

  params = config_factory.config_generator(FLAGS.model)

  params = params_dict.override_params_dict(
      params, FLAGS.config_file, is_strict=True)

  params = params_dict.override_params_dict(
      params, FLAGS.params_override, is_strict=True)
  params.override(
      {
          'strategy_type': FLAGS.strategy_type,
          'model_dir': FLAGS.model_dir,
          'strategy_config': executor.strategy_flags_dict(),

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/main.py:172 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/e04d646f11af592f. Report an issue: GitHub.