keras-team/keras · error · RuntimeError

Failed to convert PyTorch model to LiteRT. Common causes: un

Error message

Failed to convert PyTorch model to LiteRT. Common causes: unsupported operations, dynamic shapes, or complex control flow. Original error: {e}

What it means

Error "Failed to convert PyTorch model to LiteRT. Common causes: unsupported operations, dynamic shapes, or complex control flow. Original error: {e}" thrown in keras-team/keras.

Source

Thrown at keras/src/export/litert.py:246

                # Although Keras models manage training mode via the
                # `training` argument to `call()`, `litert_torch.convert`
                # checks `module.training` and warns when it is `True`.
                # Calling `eval()` silences that warning and ensures any
                # PyTorch-native submodules are in inference mode.
                model.eval()

                litert_torch_kwargs = _prepare_litert_kwargs(
                    kwargs, litert_torch
                )

                with _silence_output(verbose is False):
                    try:
                        edge_model = litert_torch.convert(
                            model, sample_inputs, **litert_torch_kwargs
                        )
                    except Exception as e:
                        raise RuntimeError(
                            "Failed to convert PyTorch model to LiteRT. "
                            "Common causes: unsupported operations, "
                            "dynamic shapes, or complex control flow. "
                            f"Original error: {e}"
                        ) from e

                    edge_model.export(filepath)
        finally:
            if device != "cpu":
                for v in model.variables:
                    v.value.data = v.value.data.to(device)

    if verbose is not False:
        io_utils.print_msg(f"Saved artifact at '{filepath}'.")

    return filepath

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/export/litert.py:246 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/1374a957e4656db2. Report an issue: GitHub.