tensorflow/models · error · AttributeError

`BUILDER` is a property and `_BUILDER` is the reserved class

Error message

`BUILDER` is a property and `_BUILDER` is the reserved class attribute. We should only assign `_BUILDER` at the class level.

What it means

Error "`BUILDER` is a property and `_BUILDER` is the reserved class attribute. We should only assign `_BUILDER` at the class level." thrown in tensorflow/models.

Source

Thrown at official/modeling/hyperparams/base_config.py:272

    elif not is_null(k) and isinstance(v, self.SEQUENCE_TYPES) and all(
        [not isinstance(e, self.IMMUTABLE_TYPES) for e in v]):
      if len(self.__dict__[k]) == len(v):
        for i in range(len(v)):
          self.__dict__[k][i].override(v[i])
      elif not all([isinstance(e, self.IMMUTABLE_TYPES) for e in v]):
        logging.warning(
            "The list/tuple don't match the value dictionaries provided. Thus, "
            'the list/tuple is determined by the type annotation and '
            'values provided. This is error-prone.')
        self.__dict__[k] = self._import_config(v, subconfig_type)
      else:
        self.__dict__[k] = self._import_config(v, subconfig_type)
    else:
      self.__dict__[k] = self._import_config(v, subconfig_type)

  def __setattr__(self, k, v):
    if k == 'BUILDER' or k == '_BUILDER':
      raise AttributeError('`BUILDER` is a property and `_BUILDER` is the '
                           'reserved class attribute. We should only assign '
                           '`_BUILDER` at the class level.')

    if k not in self.RESERVED_ATTR:
      if getattr(self, '_locked', False):
        raise ValueError('The Config has been locked. ' 'No change is allowed.')
    self._set(k, v)

  def _override(self, override_dict, is_strict=True):
    """Overrides same method in ParamsDict.

    Also called by ParamsDict methods.

    Args:
      override_dict: dictionary to write to .
      is_strict: If True, not allows to add new keys.

    Raises:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/modeling/hyperparams/base_config.py:272 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/c6744ce1f5f51b7a. Report an issue: GitHub.