#!/usr/bin/env python3
# Copyright    2025  Xiaomi Corp.        (authors: Fangjun Kuang)

from pathlib import Path

import onnxruntime
from onnxruntime.quantization import QuantType, quantize_dynamic


def show(filename):
    session_opts = onnxruntime.SessionOptions()
    session_opts.log_severity_level = 3
    sess = onnxruntime.InferenceSession(filename, session_opts)
    for i in sess.get_inputs():
        print(i)

    print("-----")

    for i in sess.get_outputs():
        print(i)


"""
NodeArg(name='tokens', type='tensor(int64)', shape=[1, 'tokens1'])
NodeArg(name='style', type='tensor(float)', shape=[1, 256])
NodeArg(name='speed', type='tensor(float)', shape=[1])
-----
NodeArg(name='audio', type='tensor(float)', shape=['audio0'])
"""


def main():
    show("./model.onnx")

    if not Path("./model.int8.onnx").is_file():
        quantize_dynamic(
            model_input="model.onnx",
            model_output="model.int8.onnx",
            #  op_types_to_quantize=["MatMul"],
            weight_type=QuantType.QUInt8,
        )
    else:
        print("./model.int8.onnx exists - skip")


if __name__ == "__main__":
    main()