Export Parakeet TDT models to QNN (k2-fsa#3719)

Author: csukuangfj

.github/scripts/export-qnn/generate_parakeet_tdt.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+# Copyright    2026  Xiaomi Corp.        (authors: Fangjun Kuang)
+
+import json
+
+from device_info import soc_info_dict
+from dataclasses import asdict, dataclass
+import itertools
+
+
+@dataclass
+class Config:
+    soc: str  # SM8850
+    soc_id: int  # 87
+    arch: str  # v81
+    num_seconds: int
+    model_name: str
+
+
+def main():
+
+    model_name_list = ["parakeet-tdt-0.6b-v2", "parakeet-tdt-0.6b-v3"]
+    num_seconds_list = [3, 5, 8, 10, 13, 15, 18, 20, 23, 25, 28, 30]
+
+    configs = []
+
+    for name, soc in soc_info_dict.items():
+        if soc.model.name == "SM8350":
+            continue
+        for num_seconds, model_name in itertools.product(
+            num_seconds_list, model_name_list
+        ):
+            configs.append(
+                Config(
+                    soc=name,
+                    soc_id=soc.model.value,
+                    arch=soc.info.arch.name,
+                    model_name=model_name,
+                    num_seconds=num_seconds,
+                )
+            )
+
+    ans = [asdict(c) for c in configs]
+
+    print(json.dumps({"include": ans}))
+
+
+if __name__ == "__main__":
+    main()