refactor(mnn): remove unused model loading methods from mnn.rs files

Cargo.lock

@@ -1299,6 +1299,7 @@ dependencies = [
 [[package]]
 name = "mnn"
 version = "0.2.0"
+source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#4128b5b40e03c8744fc0e68f6684ef8a2dd971e5"
 dependencies = [
  "dunce",
  "error-stack",
@@ -1312,7 +1313,7 @@ dependencies = [
 [[package]]
 name = "mnn-bridge"
 version = "0.1.0"
-source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#456c53307ff551d8cb8e4e380c7febf7c16ba0ab"
+source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#4128b5b40e03c8744fc0e68f6684ef8a2dd971e5"
 dependencies = [
  "error-stack",
  "mnn",
@@ -1322,7 +1323,7 @@ dependencies = [
 [[package]]
 name = "mnn-sync"
 version = "0.1.0"
-source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#456c53307ff551d8cb8e4e380c7febf7c16ba0ab"
+source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#4128b5b40e03c8744fc0e68f6684ef8a2dd971e5"
 dependencies = [
  "error-stack",
  "flume",
@@ -1334,6 +1335,7 @@ dependencies = [
 [[package]]
 name = "mnn-sys"
 version = "0.1.0"
+source = "git+https://github.com/uttarayan21/mnn-rs?branch=restructure-tensor-type#4128b5b40e03c8744fc0e68f6684ef8a2dd971e5"
 dependencies = [
  "anyhow",
  "bindgen",

Cargo.toml

@@ -5,15 +5,12 @@ members = ["ndarray-image", "ndarray-resize", ".", "bounding-box"]
 version = "0.1.0"
 edition = "2024"
 
-[patch."https://github.com/uttarayan21/mnn-rs"]
-mnn = { path = "/Users/fs0c131y/Projects/aftershoot/mnn-rs" }
-
 [workspace.dependencies]
 ndarray-image = { path = "ndarray-image" }
 ndarray-resize = { path = "ndarray-resize" }
 mnn = { git = "https://github.com/uttarayan21/mnn-rs", version = "0.2.0", features = [
-    "metal",
+    # "metal",
-    "coreml",
+    # "coreml",
     "tracing",
 ], branch = "restructure-tensor-type" }
 mnn-bridge = { git = "https://github.com/uttarayan21/mnn-rs", version = "0.1.0", features = [
@@ -53,7 +50,11 @@ bounding-box = { version = "0.1.0", path = "bounding-box" }
 color = "0.3.1"
 itertools = "0.14.0"
 ordered-float = "5.0.0"
-ort = { version = "2.0.0-rc.10", default-features = false, features = [ "std", "tracing", "ndarray"]}
+ort = { version = "2.0.0-rc.10", default-features = false, features = [
+    "std",
+    "tracing",
+    "ndarray",
+] }
 
 [profile.release]
 debug = true
@@ -65,5 +66,7 @@ ort-tensorrt = ["ort/tensorrt"]
 ort-tvm = ["ort/tvm"]
 ort-openvino = ["ort/openvino"]
 ort-directml = ["ort/directml"]
+mnn-metal = ["mnn/metal"]
+mnn-coreml = ["mnn/coreml"]
 
-default = ["ort-coreml"]
+default = []

flake.nix

@@ -52,7 +52,7 @@
               mnn = mnn-overlay.packages.${system}.mnn.override {
                 src = mnn-src;
                 buildConverter = true;
-                enableMetal = true;
+                enableMetal = pkgs.stdenv.isDarwin;
                 enableOpencl = true;
               };
             })

src/facedet/retinaface/mnn.rs

@@ -61,35 +61,6 @@ impl FaceDetection {
     ) -> std::result::Result<FaceDetectionBuilder, error_stack::Report<crate::errors::Error>> {
         FaceDetectionBuilder::new(model)
     }
-
-    pub fn new(path: impl AsRef<Path>) -> Result<Self> {
-        let model = std::fs::read(path)
-            .change_context(Error)
-            .attach_printable("Failed to read model file")?;
-        Self::new_from_bytes(&model)
-    }
-
-    pub fn new_from_bytes(model: &[u8]) -> Result<Self> {
-        tracing::info!("Loading face detection model from bytes");
-        let mut model = mnn::Interpreter::from_bytes(model)
-            .map_err(|e| e.into_inner())
-            .change_context(Error)
-            .attach_printable("Failed to load model from bytes")?;
-        model.set_session_mode(mnn::SessionMode::Release);
-        model
-            .set_cache_file("retinaface.cache", 128)
-            .change_context(Error)
-            .attach_printable("Failed to set cache file")?;
-        let bc = mnn::BackendConfig::default().with_memory_mode(mnn::MemoryMode::High);
-        let sc = mnn::ScheduleConfig::new()
-            .with_type(mnn::ForwardType::Metal)
-            .with_backend_config(bc);
-        tracing::info!("Creating session handle for face detection model");
-        let handle = mnn_sync::SessionHandle::new(model, sc)
-            .change_context(Error)
-            .attach_printable("Failed to create session handle")?;
-        Ok(FaceDetection { handle })
-    }
 }
 
 impl FaceDetector for FaceDetection {

src/faceembed/facenet/mnn.rs

@@ -56,12 +56,6 @@ impl EmbeddingGeneratorBuilder {
 impl EmbeddingGenerator {
     const INPUT_NAME: &'static str = "serving_default_input_6:0";
     const OUTPUT_NAME: &'static str = "StatefulPartitionedCall:0";
-    pub fn new(path: impl AsRef<Path>) -> Result<Self> {
-        let model = std::fs::read(path)
-            .change_context(Error)
-            .attach_printable("Failed to read model file")?;
-        Self::new_from_bytes(&model)
-    }
 
     pub fn builder<T: AsRef<[u8]>>(
         model: T,
@@ -69,28 +63,6 @@ impl EmbeddingGenerator {
         EmbeddingGeneratorBuilder::new(model)
     }
 
-    pub fn new_from_bytes(model: &[u8]) -> Result<Self> {
-        tracing::info!("Loading face embedding model from bytes");
-        let mut model = mnn::Interpreter::from_bytes(model)
-            .map_err(|e| e.into_inner())
-            .change_context(Error)
-            .attach_printable("Failed to load model from bytes")?;
-        model.set_session_mode(mnn::SessionMode::Release);
-        model
-            .set_cache_file("facenet.cache", 128)
-            .change_context(Error)
-            .attach_printable("Failed to set cache file")?;
-        let bc = mnn::BackendConfig::default().with_memory_mode(mnn::MemoryMode::High);
-        let sc = mnn::ScheduleConfig::new()
-            .with_type(mnn::ForwardType::Metal)
-            .with_backend_config(bc);
-        tracing::info!("Creating session handle for face embedding model");
-        let handle = mnn_sync::SessionHandle::new(model, sc)
-            .change_context(Error)
-            .attach_printable("Failed to create session handle")?;
-        Ok(Self { handle })
-    }
-
     pub fn run_models(&self, face: ArrayView4<u8>) -> Result<Array2<f32>> {
         let tensor = face
             // .permuted_axes((0, 3, 1, 2))