keras-team/keras · error · AttributeError

`Model.layers` attribute is reserved and should not be used.

Error message

`Model.layers` attribute is reserved and should not be used. Please use another name.

What it means

Error "`Model.layers` attribute is reserved and should not be used. Please use another name." thrown in keras-team/keras.

Source

Thrown at keras/src/models/functional.py:169

        # Unlike other layers, we allow Functional state to be mutable after
        # build. E.g. to attach a layer to a model that is not part of the
        # functional DAG.
        pass

    def _obj_type(self):
        return "Functional"

    @property
    def layers(self):
        layers = []
        for operation in self._operations:
            if isinstance(operation, Layer):
                layers.append(operation)
        return layers

    @layers.setter
    def layers(self, _):
        raise AttributeError(
            "`Model.layers` attribute is reserved and should not be used. "
            "Please use another name."
        )

    def call(self, inputs, training=None, mask=None):
        # Add support for training, masking
        inputs = self._standardize_inputs(inputs)
        if mask is None:
            masks = [None] * len(inputs)
        else:
            masks = tree.flatten(mask)
            for x, mask in zip(inputs, masks):
                if mask is not None:
                    backend.set_keras_mask(x, mask)
        outputs = self._run_through_graph(inputs)
        return unpack_singleton(outputs)

    def compute_output_spec(self, inputs, training=None, mask=None):

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/models/functional.py:169 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/d5588b47c9ae4c71. Report an issue: GitHub.