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coreml : use Core ML encoder inference
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| Original file line number | Diff line number | Diff line change |
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| *.o | ||
| *.a | ||
| *.mlmodel | ||
| *.mlmodelc | ||
| .cache/ | ||
| .vs/ | ||
| .vscode/ | ||
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| // | ||
| // CoremlEncoder.h | ||
| // | ||
| // This file was automatically generated and should not be edited. | ||
| // | ||
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| #import <Foundation/Foundation.h> | ||
| #import <CoreML/CoreML.h> | ||
| #include <stdint.h> | ||
| #include <os/log.h> | ||
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| NS_ASSUME_NONNULL_BEGIN | ||
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| /// Model Prediction Input Type | ||
| API_AVAILABLE(macos(10.15), ios(13.0), watchos(6.0), tvos(13.0)) __attribute__((visibility("hidden"))) | ||
| @interface CoremlEncoderInput : NSObject<MLFeatureProvider> | ||
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| /// melSegment as 1 × 80 × 3000 3-dimensional array of floats | ||
| @property (readwrite, nonatomic, strong) MLMultiArray * melSegment; | ||
| - (instancetype)init NS_UNAVAILABLE; | ||
| - (instancetype)initWithMelSegment:(MLMultiArray *)melSegment NS_DESIGNATED_INITIALIZER; | ||
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| @end | ||
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| /// Model Prediction Output Type | ||
| API_AVAILABLE(macos(10.15), ios(13.0), watchos(6.0), tvos(13.0)) __attribute__((visibility("hidden"))) | ||
| @interface CoremlEncoderOutput : NSObject<MLFeatureProvider> | ||
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| /// output as multidimensional array of floats | ||
| @property (readwrite, nonatomic, strong) MLMultiArray * output; | ||
| - (instancetype)init NS_UNAVAILABLE; | ||
| - (instancetype)initWithOutput:(MLMultiArray *)output NS_DESIGNATED_INITIALIZER; | ||
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| @end | ||
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| /// Class for model loading and prediction | ||
| API_AVAILABLE(macos(10.15), ios(13.0), watchos(6.0), tvos(13.0)) __attribute__((visibility("hidden"))) | ||
| @interface CoremlEncoder : NSObject | ||
| @property (readonly, nonatomic, nullable) MLModel * model; | ||
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| /** | ||
| URL of the underlying .mlmodelc directory. | ||
| */ | ||
| + (nullable NSURL *)URLOfModelInThisBundle; | ||
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| /** | ||
| Initialize CoremlEncoder instance from an existing MLModel object. | ||
| Usually the application does not use this initializer unless it makes a subclass of CoremlEncoder. | ||
| Such application may want to use `-[MLModel initWithContentsOfURL:configuration:error:]` and `+URLOfModelInThisBundle` to create a MLModel object to pass-in. | ||
| */ | ||
| - (instancetype)initWithMLModel:(MLModel *)model NS_DESIGNATED_INITIALIZER; | ||
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| /** | ||
| Initialize CoremlEncoder instance with the model in this bundle. | ||
| */ | ||
| - (nullable instancetype)init; | ||
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| /** | ||
| Initialize CoremlEncoder instance with the model in this bundle. | ||
| @param configuration The model configuration object | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| */ | ||
| - (nullable instancetype)initWithConfiguration:(MLModelConfiguration *)configuration error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Initialize CoremlEncoder instance from the model URL. | ||
| @param modelURL URL to the .mlmodelc directory for CoremlEncoder. | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| */ | ||
| - (nullable instancetype)initWithContentsOfURL:(NSURL *)modelURL error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Initialize CoremlEncoder instance from the model URL. | ||
| @param modelURL URL to the .mlmodelc directory for CoremlEncoder. | ||
| @param configuration The model configuration object | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| */ | ||
| - (nullable instancetype)initWithContentsOfURL:(NSURL *)modelURL configuration:(MLModelConfiguration *)configuration error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Construct CoremlEncoder instance asynchronously with configuration. | ||
| Model loading may take time when the model content is not immediately available (e.g. encrypted model). Use this factory method especially when the caller is on the main thread. | ||
| @param configuration The model configuration | ||
| @param handler When the model load completes successfully or unsuccessfully, the completion handler is invoked with a valid CoremlEncoder instance or NSError object. | ||
| */ | ||
| + (void)loadWithConfiguration:(MLModelConfiguration *)configuration completionHandler:(void (^)(CoremlEncoder * _Nullable model, NSError * _Nullable error))handler API_AVAILABLE(macos(11.0), ios(14.0), watchos(7.0), tvos(14.0)) __attribute__((visibility("hidden"))); | ||
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| /** | ||
| Construct CoremlEncoder instance asynchronously with URL of .mlmodelc directory and optional configuration. | ||
| Model loading may take time when the model content is not immediately available (e.g. encrypted model). Use this factory method especially when the caller is on the main thread. | ||
| @param modelURL The model URL. | ||
| @param configuration The model configuration | ||
| @param handler When the model load completes successfully or unsuccessfully, the completion handler is invoked with a valid CoremlEncoder instance or NSError object. | ||
| */ | ||
| + (void)loadContentsOfURL:(NSURL *)modelURL configuration:(MLModelConfiguration *)configuration completionHandler:(void (^)(CoremlEncoder * _Nullable model, NSError * _Nullable error))handler API_AVAILABLE(macos(11.0), ios(14.0), watchos(7.0), tvos(14.0)) __attribute__((visibility("hidden"))); | ||
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| /** | ||
| Make a prediction using the standard interface | ||
| @param input an instance of CoremlEncoderInput to predict from | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| @return the prediction as CoremlEncoderOutput | ||
| */ | ||
| - (nullable CoremlEncoderOutput *)predictionFromFeatures:(CoremlEncoderInput *)input error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Make a prediction using the standard interface | ||
| @param input an instance of CoremlEncoderInput to predict from | ||
| @param options prediction options | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| @return the prediction as CoremlEncoderOutput | ||
| */ | ||
| - (nullable CoremlEncoderOutput *)predictionFromFeatures:(CoremlEncoderInput *)input options:(MLPredictionOptions *)options error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Make a prediction using the convenience interface | ||
| @param melSegment as 1 × 80 × 3000 3-dimensional array of floats: | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| @return the prediction as CoremlEncoderOutput | ||
| */ | ||
| - (nullable CoremlEncoderOutput *)predictionFromMelSegment:(MLMultiArray *)melSegment error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
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| /** | ||
| Batch prediction | ||
| @param inputArray array of CoremlEncoderInput instances to obtain predictions from | ||
| @param options prediction options | ||
| @param error If an error occurs, upon return contains an NSError object that describes the problem. If you are not interested in possible errors, pass in NULL. | ||
| @return the predictions as NSArray<CoremlEncoderOutput *> | ||
| */ | ||
| - (nullable NSArray<CoremlEncoderOutput *> *)predictionsFromInputs:(NSArray<CoremlEncoderInput*> *)inputArray options:(MLPredictionOptions *)options error:(NSError * _Nullable __autoreleasing * _Nullable)error; | ||
| @end | ||
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| NS_ASSUME_NONNULL_END |
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