Add UVR models for source separation. (#2266)

scripts/uvr_mdx/show.py

@@ -0,0 +1,39 @@
+#!/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()