keras-team/keras · error · ValueError

Invalid value for argument `order`. Expected one of {[0, 1]}

Error message

Invalid value for argument `order`. Expected one of {[0, 1]}. Received: order={order}

What it means

Error "Invalid value for argument `order`. Expected one of {[0, 1]}. Received: order={order}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/image.py:679

        raise ValueError(
            "First dim of `coordinates` must be the same as the rank of "
            "`inputs`. "
            f"Received inputs with shape: {inputs.shape} and coordinate "
            f"leading dim of {coordinates.shape[0]}"
        )
    if len(coordinates.shape) < 2:
        raise ValueError(
            "Invalid coordinates rank: expected at least rank 2."
            f" Received input with shape: {coordinates.shape}"
        )
    if fill_mode not in MAP_COORDINATES_FILL_MODES:
        raise ValueError(
            "Invalid value for argument `fill_mode`. Expected one of "
            f"{set(MAP_COORDINATES_FILL_MODES)}. Received: "
            f"fill_mode={fill_mode}"
        )
    if order not in range(2):
        raise ValueError(
            "Invalid value for argument `order`. Expected one of "
            f"{[0, 1]}. Received: order={order}"
        )
    return jax.scipy.ndimage.map_coordinates(
        inputs, coordinates, order, fill_mode, fill_value
    )


def gaussian_blur(
    images, kernel_size=(3, 3), sigma=(1.0, 1.0), data_format=None
):
    def _create_gaussian_kernel(kernel_size, sigma, dtype):
        def _get_gaussian_kernel1d(size, sigma):
            x = jnp.arange(size, dtype=dtype) - jnp.array(
                (size - 1) / 2, dtype=dtype
            )
            kernel1d = jnp.exp(-0.5 * (x / sigma) ** 2)
            return kernel1d / jnp.sum(kernel1d)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/image.py:679 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/26a1ebca3318fa6d. Report an issue: GitHub.