show.py
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#!/usr/bin/env python3
# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang)
import onnxruntime
import onnx
"""
[]
NodeArg(name='input', type='tensor(float)', shape=['batch_size', 4, 3072, 256])
-----
NodeArg(name='output', type='tensor(float)', shape=['batch_size', 4, 3072, 256])
"""
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("./UVR-MDX-NET-Voc_FT.onnx")
show("./UVR_MDXNET_1_9703.onnx")
if __name__ == "__main__":
main()