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/openvino/image.py:280

    pad_to_aspect_ratio=False,
    fill_mode="constant",
    fill_value=0.0,
    data_format="channels_last",
):
    data_format = backend.standardize_data_format(data_format)
    if interpolation not in ALL_RESIZE_INTERPOLATIONS:
        raise ValueError(
            "Invalid value for argument `interpolation`. Expected of one "
            f"{ALL_RESIZE_INTERPOLATIONS}. Received: "
            f"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}"
        )

    target_height, target_width = tuple(size)
    images = get_ov_output(images)
    rank = len(images.get_partial_shape())
    if rank not in (3, 4):
        raise ValueError(
            "Invalid images rank: expected rank 3 (single image) "
            "or rank 4 (batch of images). Received input with shape: "
            f"images.shape={images.get_partial_shape()}"
        )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/openvino/image.py:280 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/10e6101c13e8edb5. Report an issue: GitHub.