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/gaussian_dropout.py:30

    As it is a regularization layer, it is only active at training time.

    Args:
        rate: Float, drop probability (as with `Dropout`).
            The multiplicative noise will have
            standard deviation `sqrt(rate / (1 - rate))`.
        seed: Integer, optional random seed to enable deterministic behavior.

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

    def __init__(self, rate, 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
        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:
            stddev = math.sqrt(self.rate / (1.0 - self.rate))
            return inputs * backend.random.normal(
                shape=ops.shape(inputs),
                mean=1.0,

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/regularization/gaussian_dropout.py:30 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/5e59413e079e6577. Report an issue: GitHub.