keras-team/keras · error · ValueError

`mode` argument value not supported. Expected one of {'reduc

Error message

`mode` argument value not supported. Expected one of {'reduced', 'complete'}. Received: mode={mode}

What it means

Error "`mode` argument value not supported. Expected one of {'reduced', 'complete'}. Received: mode={mode}" thrown in keras-team/keras.

Source

Thrown at keras/src/ops/linalg.py:406

        Norm of the matrix or vector(s).

    Example:

    >>> x = keras.ops.reshape(keras.ops.arange(9, dtype="float32") - 4, (3, 3))
    >>> keras.ops.linalg.norm(x)
    7.7459664
    """
    if any_symbolic_tensors((x,)):
        return Norm(ord=ord, axis=axis, keepdims=keepdims).symbolic_call(x)
    x = backend.convert_to_tensor(x)
    return backend.linalg.norm(x, ord=ord, axis=axis, keepdims=keepdims)


class Qr(Operation):
    def __init__(self, mode="reduced", *, name=None):
        super().__init__(name=name)
        if mode not in {"reduced", "complete"}:
            raise ValueError(
                "`mode` argument value not supported. "
                "Expected one of {'reduced', 'complete'}. "
                f"Received: mode={mode}"
            )
        self.mode = mode

    def compute_output_spec(self, x):
        if len(x.shape) < 2:
            raise ValueError(
                "Input should have rank >= 2. Received: "
                f"input.shape = {x.shape}"
            )
        m = x.shape[-2]
        n = x.shape[-1]
        if m is None or n is None:
            raise ValueError(
                "Input should have its last 2 dimensions "
                "fully-defined. Received: "

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/ops/linalg.py:406 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/ff9ca2a465773557. Report an issue: GitHub.