[CoreML ML Program] support acclerators selector

csharp/src/Microsoft.ML.OnnxRuntime/ProviderOptions.shared.cs

@@ -330,7 +330,8 @@ public enum CoreMLFlags : uint
         COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE = 0x004,
         COREML_FLAG_ONLY_ALLOW_STATIC_INPUT_SHAPES = 0x008,
         COREML_FLAG_CREATE_MLPROGRAM = 0x010,
-        COREML_FLAG_LAST = COREML_FLAG_CREATE_MLPROGRAM,
+        COREML_FLAG_USE_CPU_AND_GPU = 0x020,
+        COREML_FLAG_LAST = COREML_FLAG_USE_CPU_AND_GPU,
     }
 
     /// <summary>

include/onnxruntime/core/providers/coreml/coreml_provider_factory.h

@@ -31,9 +31,14 @@ enum COREMLFlags {
   // Create an MLProgram. By default it will create a NeuralNetwork model. Requires Core ML 5 or later.
   COREML_FLAG_CREATE_MLPROGRAM = 0x010,
 
+  // Exclude ANE as sometimes this decrease performance
+  // https://developer.apple.com/documentation/coreml/mlcomputeunits?language=objc
+  // there are four compute units:
+  // MLComputeUnitsCPUAndNeuralEngine|MLComputeUnitsCPUAndGPU|MLComputeUnitsCPUOnly|MLComputeUnitsAll
+  COREML_FLAG_USE_CPU_AND_GPU = 0x020,
   // Keep COREML_FLAG_LAST at the end of the enum definition
   // And assign the last COREMLFlag to it
-  COREML_FLAG_LAST = COREML_FLAG_CREATE_MLPROGRAM,
+  COREML_FLAG_LAST = COREML_FLAG_USE_CPU_AND_GPU,
 };
 
 #ifdef __cplusplus

java/src/main/java/ai/onnxruntime/providers/CoreMLFlags.java

@@ -25,7 +25,9 @@ public enum CoreMLFlags implements OrtFlags {
    * Create an MLProgram. By default it will create a NeuralNetwork model. Requires Core ML 5 or
    * later.
    */
-  CREATE_MLPROGRAM(16); // COREML_FLAG_CREATE_MLPROGRAM(0x010)
+  CREATE_MLPROGRAM(16), // COREML_FLAG_CREATE_MLPROGRAM(0x010)
+  /** exclude ANE */
+  CPU_AND_GPU(32); // COREML_FLAG_USE_CPU_AND_GPU(0x020)
 
   /** The native value of the enum. */
   public final int value;

js/common/lib/inference-session.ts

@@ -320,6 +320,7 @@ export declare namespace InferenceSession {
      * COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE = 0x004
      * COREML_FLAG_ONLY_ALLOW_STATIC_INPUT_SHAPES = 0x008
      * COREML_FLAG_CREATE_MLPROGRAM = 0x010
+     * COREML_FLAG_USE_CPU_AND_GPU = 0x020
      * ```
      *
      * See include/onnxruntime/core/providers/coreml/coreml_provider_factory.h for more details.
@@ -333,6 +334,7 @@ export declare namespace InferenceSession {
      * This setting is available only in ONNXRuntime (react-native).
      */
     useCPUOnly?: boolean;
+    useCPUAndGPU?: boolean;
     /**
      * Specify whether to enable CoreML EP on subgraph.
      *

js/react_native/ios/OnnxruntimeModule.mm

@@ -389,6 +389,8 @@ - (NSDictionary*)run:(NSString*)url
         if (useOptions) {
           if ([[executionProvider objectForKey:@"useCPUOnly"] boolValue]) {
             coreml_flags |= COREML_FLAG_USE_CPU_ONLY;
+          } else if ([[executionProvider objectForKey:@"useCPUAndGPU"] boolValue]) {
+            coreml_flags |= COREML_FLAG_USE_CPU_AND_GPU;
           }
           if ([[executionProvider objectForKey:@"enableOnSubgraph"] boolValue]) {
             coreml_flags |= COREML_FLAG_ENABLE_ON_SUBGRAPH;

objectivec/include/ort_coreml_execution_provider.h

@@ -29,7 +29,10 @@ NS_ASSUME_NONNULL_BEGIN
  * Whether the CoreML execution provider should run on CPU only.
  */
 @property BOOL useCPUOnly;
-
+/**
+ * exclude ANE in CoreML.
+ */
+@property BOOL useCPUAndGPU;
 /**
  * Whether the CoreML execution provider is enabled on subgraphs.
  */

objectivec/ort_coreml_execution_provider.mm

@@ -25,6 +25,7 @@ - (BOOL)appendCoreMLExecutionProviderWithOptions:(ORTCoreMLExecutionProviderOpti
   try {
     const uint32_t flags =
         (options.useCPUOnly ? COREML_FLAG_USE_CPU_ONLY : 0) |
+        (options.useCPUAndGPU ? COREML_FLAG_USE_CPU_AND_GPU : 0) |
         (options.enableOnSubgraphs ? COREML_FLAG_ENABLE_ON_SUBGRAPH : 0) |
         (options.onlyEnableForDevicesWithANE ? COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE : 0) |
         (options.onlyAllowStaticInputShapes ? COREML_FLAG_ONLY_ALLOW_STATIC_INPUT_SHAPES : 0) |

onnxruntime/core/providers/coreml/coreml_execution_provider.cc

@@ -32,6 +32,14 @@ CoreMLExecutionProvider::CoreMLExecutionProvider(uint32_t coreml_flags)
     LOGS_DEFAULT(ERROR) << "CoreML EP is not supported on this platform.";
   }
 
+  // check if only one flag is set
+  if ((coreml_flags & COREML_FLAG_USE_CPU_ONLY) && (coreml_flags & COREML_FLAG_USE_CPU_AND_GPU)) {
+    // multiple device options selected
+    ORT_THROW(
+        "Multiple device options selected, you should use at most one of the following options:"
+        "COREML_FLAG_USE_CPU_ONLY or COREML_FLAG_USE_CPU_AND_GPU or not set");
+  }
+
 #if defined(COREML_ENABLE_MLPROGRAM)
   if (coreml_version_ < MINIMUM_COREML_MLPROGRAM_VERSION &&
       (coreml_flags_ & COREML_FLAG_CREATE_MLPROGRAM) != 0) {

onnxruntime/core/providers/coreml/model/model.mm

@@ -395,9 +395,15 @@ Status Predict(const std::unordered_map<std::string, OnnxTensorData>& inputs,
       compiled_model_path_ = [compileUrl path];
 
       MLModelConfiguration* config = [[MLModelConfiguration alloc] init];
-      config.computeUnits = (coreml_flags_ & COREML_FLAG_USE_CPU_ONLY)
-                                ? MLComputeUnitsCPUOnly
-                                : MLComputeUnitsAll;
+
+      if (coreml_flags_ & COREML_FLAG_USE_CPU_ONLY) {
+        config.computeUnits = MLComputeUnitsCPUOnly;
+      } else if (coreml_flags_ & COREML_FLAG_USE_CPU_AND_GPU) {
+        config.computeUnits = MLComputeUnitsCPUAndGPU;
+      } else {
+        config.computeUnits = MLComputeUnitsAll;
+      }
+
       model_ = [MLModel modelWithContentsOfURL:compileUrl configuration:config error:&error];
 
       if (error != nil || model_ == nil) {

onnxruntime/python/onnxruntime_pybind_state.cc

@@ -1219,6 +1219,8 @@ std::unique_ptr<IExecutionProvider> CreateExecutionProviderInstance(
 
         if (flags_str.find("COREML_FLAG_USE_CPU_ONLY") != std::string::npos) {
           coreml_flags |= COREMLFlags::COREML_FLAG_USE_CPU_ONLY;
+        } else if (flags_str.find("COREML_FLAG_USE_CPU_AND_GPU") != std::string::npos) {
+          coreml_flags |= COREMLFlags::COREML_FLAG_USE_CPU_AND_GPU;
         }
 
         if (flags_str.find("COREML_FLAG_ONLY_ALLOW_STATIC_INPUT_SHAPES") != std::string::npos) {

onnxruntime/test/perftest/command_args_parser.cc

@@ -128,7 +128,7 @@ namespace perftest {
       "\t    [NNAPI only] [NNAPI_FLAG_CPU_ONLY]: Using CPU only in NNAPI EP.\n"
       "\t    [Example] [For NNAPI EP] -e nnapi -i \"NNAPI_FLAG_USE_FP16 NNAPI_FLAG_USE_NCHW NNAPI_FLAG_CPU_DISABLED\"\n"
       "\n"
-      "\t    [CoreML only] [COREML_FLAG_CREATE_MLPROGRAM]: Create an ML Program model instead of Neural Network.\n"
+      "\t    [CoreML only] [COREML_FLAG_CREATE_MLPROGRAM COREML_FLAG_USE_CPU_ONLY COREML_FLAG_USE_CPU_AND_GPU]: Create an ML Program model instead of Neural Network.\n"
       "\t    [Example] [For CoreML EP] -e coreml -i \"COREML_FLAG_CREATE_MLPROGRAM\"\n"
       "\n"
       "\t    [SNPE only] [runtime]: SNPE runtime, options: 'CPU', 'GPU', 'GPU_FLOAT16', 'DSP', 'AIP_FIXED_TF'. \n"

onnxruntime/test/perftest/ort_test_session.cc

@@ -426,6 +426,12 @@ select from 'TF8', 'TF16', 'UINT8', 'FLOAT', 'ITENSOR'. \n)");
       if (key == "COREML_FLAG_CREATE_MLPROGRAM") {
         coreml_flags |= COREML_FLAG_CREATE_MLPROGRAM;
         std::cout << "Enabling ML Program.\n";
+      } else if (key == "COREML_FLAG_USE_CPU_ONLY") {
+        coreml_flags |= COREML_FLAG_USE_CPU_ONLY;
+        std::cout << "CoreML enabled COREML_FLAG_USE_CPU_ONLY.\n";
+      } else if (key == "COREML_FLAG_USE_CPU_AND_GPU") {
+        coreml_flags |= COREML_FLAG_USE_CPU_AND_GPU;
+        std::cout << "CoreML enabled COREML_FLAG_USE_CPU_AND_GPU.\n";
       } else if (key.empty()) {
       } else {
         ORT_THROW(