raise NotImplementedError for now

machine-learning/app/sessions/rknn.py

@@ -4,7 +4,6 @@ from pathlib import Path
 from typing import Any
 
 import numpy as np
-import onnxruntime as ort
 from numpy.typing import NDArray
 
 from app.schemas import SessionNode
@@ -22,7 +21,6 @@ def runInference(rknn_lite: Any, input: list[NDArray[np.float32]]) -> list[NDArr
 class RknnSession:
     def __init__(self, model_path: Path | str):
         self.model_path = Path(str(model_path).replace("model", soc_name))
-        self.ort_model_path = Path(str(self.model_path).replace(f"{soc_name}.rknn", "model.onnx"))
 
         self.tpe = settings.rknn_threads
 
@@ -33,28 +31,12 @@ class RknnSession:
     def __del__(self) -> None:
         self.rknnpool.release()
 
-    def _load_ort_session(self) -> None:
-        self.ort_session = ort.InferenceSession(
-            self.ort_model_path.as_posix(),
-        )
-        self.inputs: list[SessionNode] = self.ort_session.get_inputs()
-        self.outputs: list[SessionNode] = self.ort_session.get_outputs()
-        del self.ort_session
-
     def get_inputs(self) -> list[SessionNode]:
-        try:
-            return self.inputs
-        except AttributeError:
-            self._load_ort_session()
-            return self.inputs
+        raise NotImplementedError
 
     def get_outputs(self) -> list[SessionNode]:
-        try:
-            return self.outputs
-        except AttributeError:
-            self._load_ort_session()
-            return self.outputs
-
+        raise NotImplementedError
+    
     def run(
         self,
         output_names: list[str] | None,