keras-team/keras · error · ValueError

Shapes used to initialize variables must be fully-defined (n

Error message

Shapes used to initialize variables must be fully-defined (no `None` dimensions). Received: shape={shape} for variable path='{self.path}'

What it means

Error "Shapes used to initialize variables must be fully-defined (no `None` dimensions). Received: shape={shape} for variable path='{self.path}'" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/common/variables.py:238

            # returns early and does not raise an error.
            if config.is_nnx_enabled():
                return
            raise ValueError(f"Variable {self.path} is already initialized.")

        if in_stateless_scope():
            raise ValueError(
                "You are attempting to initialize a variable "
                "while in a stateless scope. This is disallowed. "
                "Make sure that all variables are initialized "
                "before you start using your layer/model objects."
            )
        self._initialize_with_initializer(self._initializer)
        self._initializer = None

    def _validate_shape(self, shape):
        shape = standardize_shape(shape)
        if None in shape:
            raise ValueError(
                "Shapes used to initialize variables must be "
                "fully-defined (no `None` dimensions). Received: "
                f"shape={shape} for variable path='{self.path}'"
            )
        return shape

    def _maybe_autocast(self, value):
        autocast_scope = get_autocast_scope()
        if self._autocast and autocast_scope is not None:
            return autocast_scope.maybe_cast(value)
        return value

    def numpy(self):
        return np.array(self)

    @property
    def aggregation(self):
        """The strategy for aggregating this variable."""

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/common/variables.py:238 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/e94173820acca752. Report an issue: GitHub.