keras-team/keras · error · ValueError

`interpolation` argument should be one of: "{interploations_

Error message

`interpolation` argument should be one of: "{interploations_list}. Received: "{interpolation}".

What it means

Error "`interpolation` argument should be one of: "{interploations_list}. Received: "{interpolation}"." thrown in keras-team/keras.

Source

Thrown at keras/src/legacy/backend.py:1384

    )

    if data_format == "channels_first":
        x = permute_dimensions(x, [0, 2, 3, 1])
    interpolations = {
        "area": tf.image.ResizeMethod.AREA,
        "bicubic": tf.image.ResizeMethod.BICUBIC,
        "bilinear": tf.image.ResizeMethod.BILINEAR,
        "gaussian": tf.image.ResizeMethod.GAUSSIAN,
        "lanczos3": tf.image.ResizeMethod.LANCZOS3,
        "lanczos5": tf.image.ResizeMethod.LANCZOS5,
        "mitchellcubic": tf.image.ResizeMethod.MITCHELLCUBIC,
        "nearest": tf.image.ResizeMethod.NEAREST_NEIGHBOR,
    }
    interploations_list = '"' + '", "'.join(interpolations.keys()) + '"'
    if interpolation in interpolations:
        x = tf.image.resize(x, new_shape, method=interpolations[interpolation])
    else:
        raise ValueError(
            "`interpolation` argument should be one of: "
            f'{interploations_list}. Received: "{interpolation}".'
        )
    if data_format == "channels_first":
        x = permute_dimensions(x, [0, 3, 1, 2])

    return x


@keras_export("keras._legacy.backend.resize_volumes")
def resize_volumes(x, depth_factor, height_factor, width_factor, data_format):
    """DEPRECATED."""
    if data_format == "channels_first":
        output = repeat_elements(x, depth_factor, axis=2)
        output = repeat_elements(output, height_factor, axis=3)
        output = repeat_elements(output, width_factor, axis=4)
        return output
    elif data_format == "channels_last":

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/legacy/backend.py:1384 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/22f13eb87ef2a2fb. Report an issue: GitHub.