keras-team/keras · error · ValueError

Invalid value received for argument `rate`. Expected a float

Error message

Invalid value received for argument `rate`. Expected a float value between 0 and 1. Received: rate={rate}

What it means

Error "Invalid value received for argument `rate`. Expected a float value between 0 and 1. Received: rate={rate}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/regularization/alpha_dropout.py:38

        noise_shape: 1D integer tensor representing the shape of the
            binary alpha dropout mask that will be multiplied with the input.
            For instance, if your inputs have shape
            `(batch_size, timesteps, features)` and
            you want the alpha dropout mask to be the same for all timesteps,
            you can use `noise_shape=(batch_size, 1, features)`.
        seed: A Python integer to use as random seed.

    Call arguments:
        inputs: Input tensor (of any rank).
        training: Python boolean indicating whether the layer should behave in
            training mode (adding alpha dropout) or in inference mode
            (doing nothing).
    """

    def __init__(self, rate, noise_shape=None, seed=None, **kwargs):
        super().__init__(**kwargs)
        if not 0 <= rate <= 1:
            raise ValueError(
                f"Invalid value received for argument "
                "`rate`. Expected a float value between 0 and 1. "
                f"Received: rate={rate}"
            )
        self.rate = rate
        self.seed = seed
        self.noise_shape = noise_shape
        if rate > 0:
            self.seed_generator = backend.random.SeedGenerator(seed)
        self.supports_masking = True

        self._build_at_init()

    def call(self, inputs, training=False):
        if training and self.rate > 0:
            noise_shape = self._get_concrete_noise_shape(
                inputs, self.noise_shape
            )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/regularization/alpha_dropout.py:38 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/28e07447cbe1362c. Report an issue: GitHub.