keras-team/keras · error · ValueError

Received an invalid value for argument `units`, expected a p

Error message

Received an invalid value for argument `units`, expected a positive integer, got {units}.

What it means

Error "Received an invalid value for argument `units`, expected a positive integer, got {units}." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/rnn/lstm.py:110

        recurrent_activation="sigmoid",
        use_bias=True,
        kernel_initializer="glorot_uniform",
        recurrent_initializer="orthogonal",
        bias_initializer="zeros",
        unit_forget_bias=True,
        kernel_regularizer=None,
        recurrent_regularizer=None,
        bias_regularizer=None,
        kernel_constraint=None,
        recurrent_constraint=None,
        bias_constraint=None,
        dropout=0.0,
        recurrent_dropout=0.0,
        seed=None,
        **kwargs,
    ):
        if units <= 0:
            raise ValueError(
                "Received an invalid value for argument `units`, "
                f"expected a positive integer, got {units}."
            )
        implementation = kwargs.pop("implementation", 2)
        super().__init__(**kwargs)
        self.implementation = implementation
        self.units = units
        self.activation = activations.get(activation)
        self.recurrent_activation = activations.get(recurrent_activation)
        self.use_bias = use_bias

        self.kernel_initializer = initializers.get(kernel_initializer)
        self.recurrent_initializer = initializers.get(recurrent_initializer)
        self.bias_initializer = initializers.get(bias_initializer)

        self.kernel_regularizer = regularizers.get(kernel_regularizer)
        self.recurrent_regularizer = regularizers.get(recurrent_regularizer)
        self.bias_regularizer = regularizers.get(bias_regularizer)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/rnn/lstm.py:110 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/68900f1af7902a93. Report an issue: GitHub.