frigate: disable failing onnxruntime optimization

Recent onnxruntime versions have a failing optimization with FP16
embedding models used in Frigate.

pkgs/by-name/fr/frigate/onnxruntime-compat.patch

@@ -0,0 +1,19 @@
+Disable the SimplifedLayerNormFusion optimization for onnxruntime embedding
+models to prevent a crash when using FP16 models (like jinna-clip-v1) with newer
+onnxruntime versions.
+
+https://github.com/microsoft/onnxruntime/issues/26717#issuecomment-3800462654
+
+
+diff --git a/frigate/embeddings/onnx/runner.py b/frigate/embeddings/onnx/runner.py
+index c34c97a8d..dca91daae 100644
+--- a/frigate/embeddings/onnx/runner.py
++++ b/frigate/embeddings/onnx/runner.py
+@@ -52,6 +52,7 @@ class ONNXModelRunner:
+                 model_path,
+                 providers=providers,
+                 provider_options=options,
++                disabled_optimizers=["SimplifiedLayerNormFusion"],
+             )
+ 
+     def get_input_names(self) -> list[str]:

pkgs/by-name/fr/frigate/package.nix

@@ -84,6 +84,7 @@ python3Packages.buildPythonApplication rec {
       hash = "sha256-1+n0n0yCtjfAHkXzsZdIF0iCVdPGmsG7l8/VTqBVEjU=";
     })
     ./ffmpeg.patch
+    # https://github.com/blakeblackshear/frigate/pull/21876
     ./ai-edge-litert.patch
     (fetchpatch {
       # peewee-migrate 0.14.x compat
@@ -95,6 +96,8 @@ python3Packages.buildPythonApplication rec {
       ];
       hash = "sha256-RrmwjE4SHJIUOYfqcCtMy9Pht7UXhHcoAZlFQv9aQFw=";
     })
+    # https://github.com/microsoft/onnxruntime/issues/26717
+    ./onnxruntime-compat.patch
   ];
 
   postPatch = ''