keras-team/keras · error · ValueError

Received invalid keys for `renorm_clipping` argument: {renor

Error message

Received invalid keys for `renorm_clipping` argument: {renorm_clipping}. Supported values: {keys}.

What it means

Error "Received invalid keys for `renorm_clipping` argument: {renorm_clipping}. Supported values: {keys}." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/normalization/batch_normalization.py:212

        self.scale = scale
        self.beta_initializer = initializers.get(beta_initializer)
        self.gamma_initializer = initializers.get(gamma_initializer)
        self.moving_mean_initializer = initializers.get(moving_mean_initializer)
        self.moving_variance_initializer = initializers.get(
            moving_variance_initializer
        )
        self.beta_regularizer = regularizers.get(beta_regularizer)
        self.gamma_regularizer = regularizers.get(gamma_regularizer)
        self.beta_constraint = constraints.get(beta_constraint)
        self.gamma_constraint = constraints.get(gamma_constraint)
        self.supports_masking = True

        self.renorm = renorm
        if renorm:
            renorm_clipping = renorm_clipping or {}
            keys = ["rmax", "rmin", "dmax"]
            if set(renorm_clipping) - set(keys):
                raise ValueError(
                    "Received invalid keys for `renorm_clipping` argument: "
                    f"{renorm_clipping}. Supported values: {keys}."
                )
            rmax = renorm_clipping.get("rmax")
            rmin = renorm_clipping.get("rmin")
            dmax = renorm_clipping.get("dmax")

            if rmax is not None and rmin is not None and rmax < rmin:
                raise ValueError(
                    "rmax should be greater than rmin in the `renorm_clipping` "
                    "argument. Received: rmax={rmax}, rmin={rmin}."
                )
            if dmax is not None and dmax < 0:
                raise ValueError(
                    "dmax should be non-negative in the `renorm_clipping` "
                    """argument. Received: dmax={dmax}."""
                )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/normalization/batch_normalization.py:212 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/4c4666e81f93e781. Report an issue: GitHub.