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/backend/jax/linalg.py:76

        for i in range(x.ndim - 2):
            lu_factor_fn = jax.vmap(lu_factor_fn)

    return lu_factor_fn(x)


def norm(x, ord=None, axis=None, keepdims=False):
    x = convert_to_tensor(x)
    if standardize_dtype(x.dtype) == "int64":
        dtype = config.floatx()
    else:
        dtype = dtypes.result_type(x.dtype, float)
    x = cast(x, dtype)
    return jnp.linalg.norm(x, ord=ord, axis=axis, keepdims=keepdims)


def qr(x, mode="reduced"):
    if mode not in {"reduced", "complete"}:
        raise ValueError(
            "`mode` argument value not supported. "
            "Expected one of {'reduced', 'complete'}. "
            f"Received: mode={mode}"
        )
    return jnp.linalg.qr(x, mode=mode)


def solve(a, b):
    return jnp.linalg.solve(a, b)


def solve_triangular(a, b, lower=False):
    return jsp.linalg.solve_triangular(a, b, lower=lower)


def svd(x, full_matrices=True, compute_uv=True):
    return jnp.linalg.svd(x, full_matrices=full_matrices, compute_uv=compute_uv)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/linalg.py:76 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/90d851f97f8caa3e. Report an issue: GitHub.