keras-team/keras · error · ValueError

Invalid value for argument `fill_mode`. Expected one of {set

Error message

Invalid value for argument `fill_mode`. Expected one of {set(MAP_COORDINATES_FILL_MODES)}. Received: fill_mode={fill_mode}

What it means

Error "Invalid value for argument `fill_mode`. Expected one of {set(MAP_COORDINATES_FILL_MODES)}. Received: fill_mode={fill_mode}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/image.py:672

def map_coordinates(
    inputs, coordinates, order, fill_mode="constant", fill_value=0.0
):
    inputs = convert_to_tensor(inputs)
    coordinates = convert_to_tensor(coordinates)
    if coordinates.shape[0] != len(inputs.shape):
        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):

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/image.py:672 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/87ad7f7dc3c8f4eb. Report an issue: GitHub.