tensorflow/models · error · ValueError

Unsupported relation in restriction.

Error message

Unsupported relation in restriction.

What it means

Error "Unsupported relation in restriction." thrown in tensorflow/models.

Source

Thrown at official/modeling/hyperparams/params_dict.py:333

          raise KeyError(
              'Found inconsistency between key `{}` and key `{}`.'.format(
                  tokens[0], tokens[1]))
      elif '>=' in restriction:
        tokens = restriction.split('>=')
        _, left_v, _, right_v = _get_kvs(tokens, params_dict)
        if left_v < right_v:
          raise KeyError(
              'Found inconsistency between key `{}` and key `{}`.'.format(
                  tokens[0], tokens[1]))
      elif '>' in restriction:
        tokens = restriction.split('>')
        _, left_v, _, right_v = _get_kvs(tokens, params_dict)
        if left_v <= right_v:
          raise KeyError(
              'Found inconsistency between key `{}` and key `{}`.'.format(
                  tokens[0], tokens[1]))
      else:
        raise ValueError('Unsupported relation in restriction.')


def read_yaml_to_params_dict(file_path: str):
  """Reads a YAML file to a ParamsDict."""
  with tf.io.gfile.GFile(file_path, 'r') as f:
    params_dict = yaml.load(f, Loader=_LOADER)
    return ParamsDict(params_dict)


def save_params_dict_to_yaml(params, file_path):
  """Saves the input ParamsDict to a YAML file."""
  with tf.io.gfile.GFile(file_path, 'w') as f:

    def _my_list_rep(dumper, data):
      # u'tag:yaml.org,2002:seq' is the YAML internal tag for sequence.
      return dumper.represent_sequence(
          u'tag:yaml.org,2002:seq', data, flow_style=True)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/modeling/hyperparams/params_dict.py:333 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/62aff2a6d08e0074. Report an issue: GitHub.