keras-team/keras · error · ValueError

`count_weights` is not used when `output_mode` is not `'coun

Error message

`count_weights` is not used when `output_mode` is not `'count'`. Received `count_weights={count_weights}`.

What it means

Error "`count_weights` is not used when `output_mode` is not `'count'`. Received `count_weights={count_weights}`." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/preprocessing/category_encoding.py:159

    def compute_output_spec(self, inputs, count_weights=None):
        output_shape = self.compute_output_shape(inputs.shape)
        return KerasTensor(
            output_shape, dtype=self.compute_dtype, sparse=self.sparse
        )

    def get_config(self):
        config = {
            "num_tokens": self.num_tokens,
            "output_mode": self.output_mode,
            "sparse": self.sparse,
        }
        base_config = super().get_config()
        return {**base_config, **config}

    def call(self, inputs, count_weights=None):
        if count_weights is not None:
            if self.output_mode != "count":
                raise ValueError(
                    "`count_weights` is not used when `output_mode` is not "
                    f"`'count'`. Received `count_weights={count_weights}`."
                )
            count_weights = self.backend.convert_to_tensor(
                count_weights, dtype=self.compute_dtype
            )
        outputs = self._encode(inputs, count_weights)
        return backend_utils.convert_tf_tensor(outputs)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/preprocessing/category_encoding.py:159 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/6d5965cce4e9406b. Report an issue: GitHub.