59d118c256
- generate samples for https://k2-fsa.github.io/sherpa/onnx/tts/all/ - provide int8 model for kokoro v0.19 kokoro-int8-en-v0_19.tar.bz2
48 lines
1.1 KiB
Python
Executable File
48 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang)
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from pathlib import Path
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import onnxruntime
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from onnxruntime.quantization import QuantType, quantize_dynamic
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def show(filename):
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session_opts = onnxruntime.SessionOptions()
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session_opts.log_severity_level = 3
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sess = onnxruntime.InferenceSession(filename, session_opts)
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for i in sess.get_inputs():
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print(i)
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print("-----")
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for i in sess.get_outputs():
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print(i)
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"""
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NodeArg(name='tokens', type='tensor(int64)', shape=[1, 'tokens1'])
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NodeArg(name='style', type='tensor(float)', shape=[1, 256])
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NodeArg(name='speed', type='tensor(float)', shape=[1])
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-----
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NodeArg(name='audio', type='tensor(float)', shape=['audio0'])
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"""
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def main():
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show("./model.onnx")
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if not Path("./model.int8.onnx").is_file():
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quantize_dynamic(
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model_input="model.onnx",
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model_output="model.int8.onnx",
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# op_types_to_quantize=["MatMul"],
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weight_type=QuantType.QUInt8,
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)
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else:
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print("./model.int8.onnx exists - skip")
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if __name__ == "__main__":
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main()
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