keras-team/keras · error · ValueError

The shape of the target variable and the shape of the target

Error message

The shape of the target variable and the shape of the target value in `variable.assign(value)` must match. variable.shape={self.shape}, Received: value.shape={value.shape}. Target variable: {self}

What it means

Error "The shape of the target variable and the shape of the target value in `variable.assign(value)` must match. variable.shape={self.shape}, Received: value.shape={value.shape}. Target variable: {self}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/common/variables.py:285

        if in_stateless_scope():
            scope = get_stateless_scope()
            value = scope.get_current_value(self)
            if value is not None:
                return self._maybe_autocast(value)
        if self._value is None:
            # Uninitialized variable. Return a placeholder.
            # This is fine because it's only ever used
            # in during shape inference / graph tracing
            # (anything else would be a bug, to be fixed.)
            return self._maybe_autocast(
                self._initializer(self._shape, dtype=self._dtype)
            )
        return self._maybe_autocast(self._value)

    def assign(self, value):
        value = self._convert_to_tensor(value, dtype=self._dtype)
        if not shape_equal(value.shape, self.shape):
            raise ValueError(
                "The shape of the target variable and "
                "the shape of the target value in "
                "`variable.assign(value)` must match. "
                f"variable.shape={self.shape}, "
                f"Received: value.shape={value.shape}. "
                f"Target variable: {self}"
            )
        if in_stateless_scope():
            scope = get_stateless_scope()
            scope.add_update((self, value))
        else:
            self._direct_assign(value)
        return value

    def assign_add(self, value):
        return self.assign(self + value)

    def assign_sub(self, value):

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/common/variables.py:285 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/892b659df69229e8. Report an issue: GitHub.