tensorflow/models · error · TypeError

Unknown type: {!r}

Error message

Unknown type: {!r}

What it means

Error "Unknown type: {!r}" thrown in tensorflow/models.

Source

Thrown at official/modeling/hyperparams/base_config.py:162

      return v
    elif isinstance(v, cls.SEQUENCE_TYPES):
      # Only support one layer of sequence.
      if not cls._isvalidsequence(v):
        raise TypeError(
            'Invalid sequence: only supports single level {!r} of {!r} or '
            'dict or ParamsDict found: {!r}'.format(cls.SEQUENCE_TYPES,
                                                    cls.IMMUTABLE_TYPES, v))
      import_fn = functools.partial(
          cls._import_config, subconfig_type=subconfig_type)
      return type(v)(map(import_fn, v))
    elif isinstance(v, params_dict.ParamsDict):
      # Deepcopy here is a temporary solution for preserving type in nested
      # Config object.
      return copy.deepcopy(v)
    elif isinstance(v, dict):
      return subconfig_type(v)
    else:
      raise TypeError('Unknown type: {!r}'.format(type(v)))

  @classmethod
  def _export_config(cls, v):
    """Returns v with Configs converted to dicts, recursively."""
    if isinstance(v, cls.IMMUTABLE_TYPES):
      return v
    elif isinstance(v, cls.SEQUENCE_TYPES):
      return type(v)(map(cls._export_config, v))
    elif isinstance(v, params_dict.ParamsDict):
      return v.as_dict()
    elif isinstance(v, dict):
      raise TypeError('dict value not supported in converting.')
    else:
      raise TypeError('Unknown type: {!r}'.format(type(v)))

  @classmethod
  def _get_subconfig_type(
      cls, k, subconfig_type=None

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/modeling/hyperparams/base_config.py:162 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/d0a62190a35a56fe. Report an issue: GitHub.