keras-team/keras · error · ValueError

Unknown converter attribute '{attr}'

Error message

Unknown converter attribute '{attr}'

What it means

Error "Unknown converter attribute '{attr}'" thrown in keras-team/keras.

Source

Thrown at keras/src/export/litert.py:189

            converter: tf.lite.TFLiteConverter instance to configure

        Raises:
            ValueError: If any kwarg is not a valid converter attribute
        """
        for attr, value in self.kwargs.items():
            if attr == "target_spec" and isinstance(value, dict):
                # Handle nested target_spec settings
                for spec_key, spec_value in value.items():
                    if hasattr(converter.target_spec, spec_key):
                        setattr(converter.target_spec, spec_key, spec_value)
                    else:
                        raise ValueError(
                            f"Unknown target_spec attribute '{spec_key}'"
                        )
            elif hasattr(converter, attr):
                setattr(converter, attr, value)
            else:
                raise ValueError(f"Unknown converter attribute '{attr}'")


def export_litert_via_torch(
    model, filepath, input_signature=None, verbose=None, **kwargs
):
    """Export Keras model to LiteRT via PyTorch backend."""
    from keras.src.backend.torch.core import device_scope
    from keras.src.backend.torch.core import get_device

    device = get_device()

    # litert_torch internally imports JAX and unconditionally enables
    # jax_enable_x64, which breaks dtype-sensitive tests elsewhere.
    # We preserve the original setting and restore it after conversion.
    with _preserve_jax_x64_state():
        try:
            import litert_torch
        except ImportError:

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/export/litert.py:189 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/c7a6e6fd9484155f. Report an issue: GitHub.