keras-team/keras · error · ValueError

Invalid transform rank: expected rank 1 (single transform) o

Error message

Invalid transform rank: expected rank 1 (single transform) or rank 2 (batch of transforms). Received input with shape: transform.shape={transform.shape}

What it means

Error "Invalid transform rank: expected rank 1 (single transform) or rank 2 (batch of transforms). Received input with shape: transform.shape={transform.shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/numpy/image.py:580

            f"interpolation={interpolation}"
        )
    if fill_mode not in AFFINE_TRANSFORM_FILL_MODES:
        raise ValueError(
            "Invalid value for argument `fill_mode`. Expected of one "
            f"{AFFINE_TRANSFORM_FILL_MODES}. Received: fill_mode={fill_mode}"
        )

    images = convert_to_tensor(images)
    transform = convert_to_tensor(transform)

    if len(images.shape) 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.shape}"
        )
    if len(transform.shape) not in (1, 2):
        raise ValueError(
            "Invalid transform rank: expected rank 1 (single transform) "
            "or rank 2 (batch of transforms). Received input with shape: "
            f"transform.shape={transform.shape}"
        )

    # `scipy.ndimage.map_coordinates` lacks support for float16 and bfloat16.
    input_dtype = backend.standardize_dtype(images.dtype)
    compute_dtype = backend.result_type(input_dtype, "float32")
    images = images.astype(compute_dtype)
    transform = transform.astype(compute_dtype)

    # unbatched case
    need_squeeze = False
    if len(images.shape) == 3:
        images = np.expand_dims(images, axis=0)
        need_squeeze = True
    if len(transform.shape) == 1:
        transform = np.expand_dims(transform, axis=0)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/image.py:580 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/6ba3e3369880a39a. Report an issue: GitHub.