keras-team/keras · error · ValueError

Input {input_index} with name '{spec.name}' of layer '{layer

Error message

Input {input_index} with name '{spec.name}' of layer '{layer_name}' is incompatible with the layer: expected max_ndim={spec.max_ndim}, found ndim={ndim}

What it means

Error "Input {input_index} with name '{spec.name}' of layer '{layer_name}' is incompatible with the layer: expected max_ndim={spec.max_ndim}, found ndim={ndim}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/input_spec.py:206

            raise ValueError(
                f"Inputs to a layer should be tensors. Got '{x}' "
                f"(of type {type(x)}) as input for layer '{layer_name}'."
            )

        shape = backend.standardize_shape(x.shape)
        ndim = len(shape)
        # Check ndim.
        if spec.ndim is not None and not spec.allow_last_axis_squeeze:
            if ndim != spec.ndim:
                raise ValueError(
                    f"Input {input_index} with name '{spec.name}' of layer "
                    f"'{layer_name}' is incompatible with the layer: "
                    f"expected ndim={spec.ndim}, found ndim={ndim}. "
                    f"Full shape received: {shape}"
                )
        if spec.max_ndim is not None:
            if ndim is not None and ndim > spec.max_ndim:
                raise ValueError(
                    f"Input {input_index} with name '{spec.name}' of layer "
                    f"'{layer_name}' is incompatible with the layer: "
                    f"expected max_ndim={spec.max_ndim}, "
                    f"found ndim={ndim}"
                )
        if spec.min_ndim is not None:
            if ndim is not None and ndim < spec.min_ndim:
                raise ValueError(
                    f"Input {input_index} with name '{spec.name}' of layer "
                    f"'{layer_name}' is incompatible with the layer: "
                    f"expected min_ndim={spec.min_ndim}, "
                    f"found ndim={ndim}. "
                    f"Full shape received: {shape}"
                )
        # Check dtype.
        if spec.dtype is not None:
            dtype = backend.standardize_dtype(x.dtype)
            if dtype != spec.dtype:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/input_spec.py:206 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/ae60a143024d139c. Report an issue: GitHub.