keras-team/keras · error · ValueError

Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio` c

Error message

Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio` can be `True`.

What it means

Error "Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio` can be `True`." thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/image.py:197

):
    data_format = standardize_data_format(data_format)
    if interpolation not in RESIZE_INTERPOLATIONS:
        raise ValueError(
            "Invalid value for argument `interpolation`. Expected of one "
            f"{RESIZE_INTERPOLATIONS}. Received: interpolation={interpolation}"
        )
    if fill_mode != "constant":
        raise ValueError(
            "Invalid value for argument `fill_mode`. Only `'constant'` "
            f"is supported. Received: fill_mode={fill_mode}"
        )
    if pad_to_aspect_ratio and crop_to_aspect_ratio:
        raise ValueError(
            "Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio` "
            "can be `True`."
        )
    if not len(size) == 2:
        raise ValueError(
            "Argument `size` must be a tuple of two elements "
            f"(height, width). Received: size={size}"
        )
    size = tuple(size)
    target_height, target_width = size
    if len(images.shape) == 4:
        if data_format == "channels_last":
            size = (images.shape[0],) + size + (images.shape[-1],)
        else:
            size = (images.shape[0], images.shape[1]) + size
        batch_size = images.shape[0]
    elif len(images.shape) == 3:
        if data_format == "channels_last":
            size = size + (images.shape[-1],)
        else:
            size = (images.shape[0],) + size
    else:
        raise ValueError(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/image.py:197 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/cc14a07cc0fc938b. Report an issue: GitHub.