In Olive, we workaround this by updating the class attribute but it would be helpful if ort-extensions supports this too. Since it already has access to the whisper preprocessor, perhaps it might be better to get the whisper params directly from it instead of storing them in a class?
The whisper params are hardcoded using
_WhisperHParamsclass. https://github.com/microsoft/onnxruntime-extensions/blob/307e712f20796e2a05ca4ddd078e81b89562e1df/onnxruntime_extensions/_torch_cvt.py#L26However, for whisper-large-v3, the value of
N_MELSis128https://huggingface.co/openai/whisper-large-v3/blob/main/preprocessor_config.json#L4 and not80.In Olive, we workaround this by updating the class attribute but it would be helpful if ort-extensions supports this too. Since it already has access to the whisper preprocessor, perhaps it might be better to get the whisper params directly from it instead of storing them in a class?