mirror of
https://github.com/ggerganov/whisper.cpp.git
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5e47e223bd
* coreml : use Core ML encoder inference * coreml : simlpify whisper_encode + log messages * whisper : resolve rebase conflicts * coreml : add scripts for CoreML model generation * bench-all : recognize COREML flag
198 lines
8.3 KiB
Objective-C
198 lines
8.3 KiB
Objective-C
//
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// whisper-encoder-impl.m
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//
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// This file was automatically generated and should not be edited.
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//
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#if !__has_feature(objc_arc)
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#error This file must be compiled with automatic reference counting enabled (-fobjc-arc)
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#endif
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#import "whisper-encoder-impl.h"
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@implementation whisper_encoder_implInput
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- (instancetype)initWithLogmel_data:(MLMultiArray *)logmel_data {
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self = [super init];
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if (self) {
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_logmel_data = logmel_data;
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}
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return self;
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}
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- (NSSet<NSString *> *)featureNames {
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return [NSSet setWithArray:@[@"logmel_data"]];
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}
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- (nullable MLFeatureValue *)featureValueForName:(NSString *)featureName {
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if ([featureName isEqualToString:@"logmel_data"]) {
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return [MLFeatureValue featureValueWithMultiArray:self.logmel_data];
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}
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return nil;
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}
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@end
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@implementation whisper_encoder_implOutput
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- (instancetype)initWithOutput:(MLMultiArray *)output {
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self = [super init];
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if (self) {
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_output = output;
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}
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return self;
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}
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- (NSSet<NSString *> *)featureNames {
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return [NSSet setWithArray:@[@"output"]];
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}
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- (nullable MLFeatureValue *)featureValueForName:(NSString *)featureName {
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if ([featureName isEqualToString:@"output"]) {
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return [MLFeatureValue featureValueWithMultiArray:self.output];
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}
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return nil;
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}
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@end
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@implementation whisper_encoder_impl
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/**
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URL of the underlying .mlmodelc directory.
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*/
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+ (nullable NSURL *)URLOfModelInThisBundle {
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NSString *assetPath = [[NSBundle bundleForClass:[self class]] pathForResource:@"whisper_encoder_impl" ofType:@"mlmodelc"];
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if (nil == assetPath) { os_log_error(OS_LOG_DEFAULT, "Could not load whisper-encoder-impl.mlmodelc in the bundle resource"); return nil; }
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return [NSURL fileURLWithPath:assetPath];
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}
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/**
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Initialize whisper_encoder_impl instance from an existing MLModel object.
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Usually the application does not use this initializer unless it makes a subclass of whisper_encoder_impl.
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Such application may want to use `-[MLModel initWithContentsOfURL:configuration:error:]` and `+URLOfModelInThisBundle` to create a MLModel object to pass-in.
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*/
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- (instancetype)initWithMLModel:(MLModel *)model {
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self = [super init];
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if (!self) { return nil; }
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_model = model;
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if (_model == nil) { return nil; }
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return self;
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}
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/**
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Initialize whisper_encoder_impl instance with the model in this bundle.
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*/
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- (nullable instancetype)init {
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return [self initWithContentsOfURL:(NSURL * _Nonnull)self.class.URLOfModelInThisBundle error:nil];
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}
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/**
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Initialize whisper_encoder_impl instance with the model in this bundle.
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@param configuration The model configuration object
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@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.
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*/
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- (nullable instancetype)initWithConfiguration:(MLModelConfiguration *)configuration error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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return [self initWithContentsOfURL:(NSURL * _Nonnull)self.class.URLOfModelInThisBundle configuration:configuration error:error];
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}
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/**
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Initialize whisper_encoder_impl instance from the model URL.
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@param modelURL URL to the .mlmodelc directory for whisper_encoder_impl.
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@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.
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*/
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- (nullable instancetype)initWithContentsOfURL:(NSURL *)modelURL error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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MLModel *model = [MLModel modelWithContentsOfURL:modelURL error:error];
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if (model == nil) { return nil; }
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return [self initWithMLModel:model];
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}
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/**
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Initialize whisper_encoder_impl instance from the model URL.
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@param modelURL URL to the .mlmodelc directory for whisper_encoder_impl.
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@param configuration The model configuration object
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@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.
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*/
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- (nullable instancetype)initWithContentsOfURL:(NSURL *)modelURL configuration:(MLModelConfiguration *)configuration error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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MLModel *model = [MLModel modelWithContentsOfURL:modelURL configuration:configuration error:error];
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if (model == nil) { return nil; }
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return [self initWithMLModel:model];
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}
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/**
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Construct whisper_encoder_impl instance asynchronously with configuration.
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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.
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@param configuration The model configuration
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@param handler When the model load completes successfully or unsuccessfully, the completion handler is invoked with a valid whisper_encoder_impl instance or NSError object.
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*/
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+ (void)loadWithConfiguration:(MLModelConfiguration *)configuration completionHandler:(void (^)(whisper_encoder_impl * _Nullable model, NSError * _Nullable error))handler {
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[self loadContentsOfURL:(NSURL * _Nonnull)[self URLOfModelInThisBundle]
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configuration:configuration
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completionHandler:handler];
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}
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/**
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Construct whisper_encoder_impl instance asynchronously with URL of .mlmodelc directory and optional configuration.
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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.
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@param modelURL The model URL.
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@param configuration The model configuration
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@param handler When the model load completes successfully or unsuccessfully, the completion handler is invoked with a valid whisper_encoder_impl instance or NSError object.
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*/
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+ (void)loadContentsOfURL:(NSURL *)modelURL configuration:(MLModelConfiguration *)configuration completionHandler:(void (^)(whisper_encoder_impl * _Nullable model, NSError * _Nullable error))handler {
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[MLModel loadContentsOfURL:modelURL
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configuration:configuration
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completionHandler:^(MLModel *model, NSError *error) {
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if (model != nil) {
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whisper_encoder_impl *typedModel = [[whisper_encoder_impl alloc] initWithMLModel:model];
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handler(typedModel, nil);
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} else {
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handler(nil, error);
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}
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}];
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}
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- (nullable whisper_encoder_implOutput *)predictionFromFeatures:(whisper_encoder_implInput *)input error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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return [self predictionFromFeatures:input options:[[MLPredictionOptions alloc] init] error:error];
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}
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- (nullable whisper_encoder_implOutput *)predictionFromFeatures:(whisper_encoder_implInput *)input options:(MLPredictionOptions *)options error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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id<MLFeatureProvider> outFeatures = [self.model predictionFromFeatures:input options:options error:error];
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if (!outFeatures) { return nil; }
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return [[whisper_encoder_implOutput alloc] initWithOutput:(MLMultiArray *)[outFeatures featureValueForName:@"output"].multiArrayValue];
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}
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- (nullable whisper_encoder_implOutput *)predictionFromLogmel_data:(MLMultiArray *)logmel_data error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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whisper_encoder_implInput *input_ = [[whisper_encoder_implInput alloc] initWithLogmel_data:logmel_data];
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return [self predictionFromFeatures:input_ error:error];
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}
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- (nullable NSArray<whisper_encoder_implOutput *> *)predictionsFromInputs:(NSArray<whisper_encoder_implInput*> *)inputArray options:(MLPredictionOptions *)options error:(NSError * _Nullable __autoreleasing * _Nullable)error {
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id<MLBatchProvider> inBatch = [[MLArrayBatchProvider alloc] initWithFeatureProviderArray:inputArray];
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id<MLBatchProvider> outBatch = [self.model predictionsFromBatch:inBatch options:options error:error];
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if (!outBatch) { return nil; }
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NSMutableArray<whisper_encoder_implOutput*> *results = [NSMutableArray arrayWithCapacity:(NSUInteger)outBatch.count];
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for (NSInteger i = 0; i < outBatch.count; i++) {
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id<MLFeatureProvider> resultProvider = [outBatch featuresAtIndex:i];
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whisper_encoder_implOutput * result = [[whisper_encoder_implOutput alloc] initWithOutput:(MLMultiArray *)[resultProvider featureValueForName:@"output"].multiArrayValue];
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[results addObject:result];
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}
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return results;
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}
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@end
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