keras-team/keras · error · ValueError

Invalid `data_format` argument: {data_format}

Error message

Invalid `data_format` argument: {data_format}

What it means

Error "Invalid `data_format` argument: {data_format}" thrown in keras-team/keras.

Source

Thrown at keras/src/legacy/backend.py:1357

    x_rep = tf.reshape(x_rep, x_shape)

    # Fix shape representation
    x_shape = x.shape.as_list()
    x_rep.set_shape(x_shape)
    return x_rep


@keras_export("keras._legacy.backend.resize_images")
def resize_images(
    x, height_factor, width_factor, data_format, interpolation="nearest"
):
    """DEPRECATED."""
    if data_format == "channels_first":
        rows, cols = 2, 3
    elif data_format == "channels_last":
        rows, cols = 1, 2
    else:
        raise ValueError(f"Invalid `data_format` argument: {data_format}")

    new_shape = x.shape[rows : cols + 1]
    if new_shape.is_fully_defined():
        new_shape = tf.constant(new_shape.as_list(), dtype="int32")
    else:
        new_shape = tf.shape(x)[rows : cols + 1]
    new_shape *= tf.constant(
        np.array([height_factor, width_factor], dtype="int32")
    )

    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,

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/legacy/backend.py:1357 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/a0b5f23f877a4551. Report an issue: GitHub.