tensorflow/models · error · TypeError

dict value not supported in converting.

Error message

dict value not supported in converting.

What it means

Error "dict value not supported in converting." thrown in tensorflow/models.

Source

Thrown at official/modeling/hyperparams/base_config.py:174

      # 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
  ) -> Type[params_dict.ParamsDict]:
    """Get element type by the field name.

    Args:
      k: the key/name of the field.
      subconfig_type: default subconfig_type. If None, it is set to
        Config.

    Returns:
      Config as default. If a type annotation is found for `k`,
      1) returns the type of the annotation if it is subtype of ParamsDict;
      2) returns the element type if the annotation of `k` is List[SubType]

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/modeling/hyperparams/base_config.py:174 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/fb463051ebcab229. Report an issue: GitHub.