tensorflow/models · error · ValueError

model_dir must be specified, but got None

Error message

model_dir must be specified, but got None

What it means

Error "model_dir must be specified, but got None" thrown in tensorflow/models.

Source

Thrown at official/core/train_utils.py:417

  params = ExperimentParser(flags_obj).parse()

  params.validate()
  if lock_return:
    params.lock()

  if print_return:
    pp = pprint.PrettyPrinter()
    logging.info('Final experiment parameters:\n%s',
                 pp.pformat(params.as_dict()))

  return params


def serialize_config(params: config_definitions.ExperimentConfig,
                     model_dir: str):
  """Serializes and saves the experiment config."""
  if model_dir is None:
    raise ValueError('model_dir must be specified, but got None')
  params_save_path = os.path.join(model_dir, 'params.yaml')
  logging.info('Saving experiment configuration to %s', params_save_path)
  tf.io.gfile.makedirs(model_dir)
  hyperparams.save_params_dict_to_yaml(params, params_save_path)


def save_gin_config(filename_suffix: str, model_dir: str):
  """Serializes and saves the experiment config."""
  gin_save_path = os.path.join(
      model_dir, 'operative_config.{}.gin'.format(filename_suffix))
  logging.info('Saving gin configurations to %s', gin_save_path)
  tf.io.gfile.makedirs(model_dir)
  with tf.io.gfile.GFile(gin_save_path, 'w') as f:
    f.write(gin.operative_config_str())


def read_global_step_from_checkpoint(ckpt_file_path):
  """Read global step from checkpoint, or get global step from its filename."""

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/core/train_utils.py:417 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/6494176f4bd83108. Report an issue: GitHub.