keras-team/keras · error · ValueError

Invalid images dtype: expected float dtype. Received: images

Error message

Invalid images dtype: expected float dtype. Received: images.dtype={backend.standardize_dtype(dtype)}

What it means

Error "Invalid images dtype: expected float dtype. Received: images.dtype={backend.standardize_dtype(dtype)}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/image.py:92

    images = jnp.tensordot(images, rgb_weights, axes=(channels_axis, -1))
    images = jnp.expand_dims(images, axis=channels_axis)
    return images.astype(original_dtype)


def rgb_to_hsv(images, data_format=None):
    # Ref: dm_pix
    images = convert_to_tensor(images)
    dtype = images.dtype
    data_format = standardize_data_format(data_format)
    channels_axis = -1 if data_format == "channels_last" else -3
    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 not backend.is_float_dtype(dtype):
        raise ValueError(
            "Invalid images dtype: expected float dtype. "
            f"Received: images.dtype={backend.standardize_dtype(dtype)}"
        )
    eps = jnp.finfo(dtype).eps
    images = jnp.where(jnp.abs(images) < eps, 0.0, images)
    red, green, blue = jnp.split(images, 3, channels_axis)
    red = jnp.squeeze(red, channels_axis)
    green = jnp.squeeze(green, channels_axis)
    blue = jnp.squeeze(blue, channels_axis)

    def rgb_planes_to_hsv_planes(r, g, b):
        value = jnp.maximum(jnp.maximum(r, g), b)
        minimum = jnp.minimum(jnp.minimum(r, g), b)
        range_ = value - minimum

        safe_value = jnp.where(value > 0, value, 1.0)
        safe_range = jnp.where(range_ > 0, range_, 1.0)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/image.py:92 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/7867b52e1f8754d8. Report an issue: GitHub.