Handle complex migraphx models

frigate/detectors/detection_runners.py

@@ -78,6 +78,21 @@ class BaseModelRunner(ABC):
 class ONNXModelRunner(BaseModelRunner):
     """Run ONNX models using ONNX Runtime."""
 
+    @staticmethod
+    def is_migraphx_complex_model(model_type: str) -> bool:
+        # Import here to avoid circular imports
+        from frigate.detectors.detector_config import ModelTypeEnum
+        from frigate.embeddings.types import EnrichmentModelTypeEnum
+
+        return model_type in [
+            EnrichmentModelTypeEnum.paddleocr.value,
+            EnrichmentModelTypeEnum.jina_v1.value,
+            EnrichmentModelTypeEnum.jina_v2.value,
+            EnrichmentModelTypeEnum.facenet.value,
+            ModelTypeEnum.rfdetr.value,
+            ModelTypeEnum.dfine.value,
+        ]
+
     def __init__(self, ort: ort.InferenceSession):
         self.ort = ort
 
@@ -443,6 +458,15 @@ def get_optimized_runner(
             options[0]["device_id"],
         )
 
+    if providers[
+        0
+    ] == "MIGraphXExecutionProvider" and ONNXModelRunner.is_migraphx_complex_model(
+        model_type
+    ):
+        # Don't use MIGraphX for models that are not supported
+        providers.pop(0)
+        options.pop(0)
+
     return ONNXModelRunner(
         ort.InferenceSession(
             model_path,

frigate/util/model.py

@@ -373,11 +373,7 @@ def get_ort_providers(
                     os.environ["ORT_MIGRAPHX_SAVE_COMPILED_PATH"] = compiled_model_path
 
                 providers.append(provider)
-                options.append(
-                    {
-                        "migraphx_fp16_enable": 0,
-                    }
-                )
+                options.append({})
             else:
                 providers.append(provider)
                 options.append({})