keras-team/keras · error · ValueError

`factor` should be between 0 and 1. Received: factor={factor

Error message

`factor` should be between 0 and 1. Received: factor={factor}

What it means

Error "`factor` should be between 0 and 1. Received: factor={factor}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/preprocessing/image_preprocessing/random_grayscale.py:58

    Input shape:
        3D (unbatched) or 4D (batched) tensor with shape:
        `(..., height, width, channels)`, in `"channels_last"` format,
        or `(..., channels, height, width)`, in `"channels_first"` format.

    Output shape:
        Same as input shape. The output maintains the same number of channels
        as the input, even for grayscale-converted images where all channels
        will have the same value.

    Example:

    {{base_image_preprocessing_color_example}}
    """

    def __init__(self, factor=0.5, data_format=None, seed=None, **kwargs):
        super().__init__(**kwargs)
        if factor < 0 or factor > 1:
            raise ValueError(
                f"`factor` should be between 0 and 1. Received: factor={factor}"
            )
        self.factor = factor
        self.data_format = backend.standardize_data_format(data_format)
        self.seed = seed
        self.generator = self.backend.random.SeedGenerator(seed)

    def get_random_transformation(self, images, training=True, seed=None):
        if seed is None:
            seed = self._get_seed_generator(self.backend._backend)
        # Base case: Unbatched data
        batch_size = 1
        if len(images.shape) == 4:
            # This is a batch of images (4D input)
            batch_size = self.backend.core.shape(images)[0]

        random_values = self.backend.random.uniform(
            shape=(batch_size,),

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/preprocessing/image_preprocessing/random_grayscale.py:58 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/0b33e34a9e52fa42. Report an issue: GitHub.