show.py
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#!/usr/bin/env python3
# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang)
import onnxruntime
import onnx
"""
[key: "onnx.infer"
value: "onnxruntime.quant"
, key: "onnx.quant.pre_process"
value: "onnxruntime.quant"
]
NodeArg(name='input_ids', type='tensor(int64)', shape=[1, 'sequence_length'])
NodeArg(name='style', type='tensor(float)', shape=[1, 256])
NodeArg(name='speed', type='tensor(float)', shape=[1])
-----
NodeArg(name='waveform', type='tensor(float)', shape=['num_samples'])
NodeArg(name='duration', type='tensor(int64)', shape=['Castduration_dim_0'])
"""
def show(filename):
model = onnx.load(filename)
print(model.metadata_props)
session_opts = onnxruntime.SessionOptions()
session_opts.log_severity_level = 3
sess = onnxruntime.InferenceSession(
filename, session_opts, providers=["CPUExecutionProvider"]
)
for i in sess.get_inputs():
print(i)
print("-----")
for i in sess.get_outputs():
print(i)
def main():
show("./model.fp16.onnx")
if __name__ == "__main__":
main()