keras-team/keras · error · ValueError

`output_sequence_length` must not be set if `output_mode` is

Error message

`output_sequence_length` must not be set if `output_mode` is not 'int'. Received output_sequence_length={output_sequence_length}.

What it means

Error "`output_sequence_length` must not be set if `output_mode` is not 'int'. Received output_sequence_length={output_sequence_length}." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/preprocessing/text_vectorization.py:312

            raise ValueError(
                "`ngrams` must be None, an integer, or a tuple of "
                f"integers. Received: ngrams={ngrams}"
            )

        # 'output_sequence_length' must be one of (None, int) and is only
        # set if output_mode is "int"".
        if output_mode == "int" and not (
            isinstance(output_sequence_length, int)
            or (output_sequence_length is None)
        ):
            raise ValueError(
                "`output_sequence_length` must be either None or an "
                "integer when `output_mode` is 'int'. Received: "
                f"output_sequence_length={output_sequence_length}"
            )

        if output_mode != "int" and output_sequence_length is not None:
            raise ValueError(
                "`output_sequence_length` must not be set if `output_mode` is "
                "not 'int'. "
                f"Received output_sequence_length={output_sequence_length}."
            )

        if ragged and output_mode != "int":
            raise ValueError(
                "`ragged` must not be true if `output_mode` is "
                f"`'int'`. Received: ragged={ragged} and "
                f"output_mode={output_mode}"
            )

        self._max_tokens = max_tokens
        self._standardize = standardize
        self._split = split
        self._ngrams_arg = ngrams
        if isinstance(ngrams, int):
            self._ngrams = tuple(range(1, ngrams + 1))

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/preprocessing/text_vectorization.py:312 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/7cd62054251f2971. Report an issue: GitHub.