keras-team/keras · error · ValueError

Missing data for input "{name}". You passed a data dictionar

Error message

Missing data for input "{name}". You passed a data dictionary with keys {list(inputs.keys())}. Expected the following keys: {names}

What it means

Error "Missing data for input "{name}". You passed a data dictionary with keys {list(inputs.keys())}. Expected the following keys: {names}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/input_spec.py:150

            input tensors.
        layer_name: String, name of the layer (for error message formatting).

    Raises:
        ValueError: in case of mismatch between
            the provided inputs and the expectations of the layer.
    """
    if not input_spec:
        return

    input_spec = tree.flatten(input_spec)
    if isinstance(inputs, dict):
        # Flatten `inputs` by reference order if input spec names are provided
        names = [spec.name for spec in input_spec]
        if all(names):
            list_inputs = []
            for name in names:
                if name not in inputs:
                    raise ValueError(
                        f'Missing data for input "{name}". '
                        "You passed a data dictionary with keys "
                        f"{list(inputs.keys())}. "
                        f"Expected the following keys: {names}"
                    )
                list_inputs.append(inputs[name])
            inputs = list_inputs

    inputs = tree.flatten(inputs)
    if len(inputs) != len(input_spec):
        # Provide appropriate error message for dict inputs.
        spec_names = [spec.name for spec in input_spec if spec is not None]
        if len(spec_names) == len(input_spec) and all(spec_names):
            raise ValueError(
                f'Layer "{layer_name}" expects {len(input_spec)} named '
                f"input(s) with keys {spec_names}, but it received "
                f"{len(inputs)} input tensors. Pass inputs as a dict, e.g. "
                "`layer({"

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/input_spec.py:150 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/1b5ac244d2c591d8. Report an issue: GitHub.