wehub-resource-sync
117 lines
3.9 KiB
Objective-C
117 lines
3.9 KiB
Objective-C
// Copyright 2018 Google Inc. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at:
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#import "tensorflow/lite/objc/apis/TFLTensor.h"
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#import "TFLErrorUtil.h"
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#import "TFLInterpreter+Internal.h"
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#import "TFLSignatureRunner+Internal.h"
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#import "TFLTensor+Internal.h"
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NS_ASSUME_NONNULL_BEGIN
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// String names of input or output tensor types.
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static NSString *const kTFLInputTensorTypeString = @"input";
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static NSString *const kTFLOutputTensorTypeString = @"output";
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@interface TFLTensor ()
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// Redefines readonly properties.
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@property(nonatomic) TFLTensorType type;
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@property(nonatomic) NSUInteger index;
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@property(nonatomic, nullable) NSString *nameInSignature;
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@property(nonatomic, copy) NSString *name;
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@property(nonatomic) TFLTensorDataType dataType;
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@property(nonatomic, nullable) TFLQuantizationParameters *quantizationParameters;
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/**
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* The tensor data accessor that could mutate the data on the tensor. It is either an interpreter or
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* a signature runner. It's a strong reference to ensure that the interpreter or the signature
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* runner is never released before this tensor is released.
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*
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* @warning Never let the interpreter or the signature runner hold a strong reference to the tensor
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* to avoid retain cycles.
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*/
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@property(nonatomic, strong) id<TFLTensorDataAccessor> tensorDataAccessor;
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@end
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@implementation TFLTensor
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#pragma mark - Public
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- (BOOL)copyData:(NSData *)data error:(NSError **)error {
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return [self.tensorDataAccessor copyData:data toInputTensor:self error:error];
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}
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- (nullable NSData *)dataWithError:(NSError **)error {
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return [self.tensorDataAccessor dataFromTensor:self error:error];
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}
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- (nullable NSArray<NSNumber *> *)shapeWithError:(NSError **)error {
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return [self.tensorDataAccessor shapeOfTensor:self error:error];
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}
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#pragma mark - TFLTensor (Internal)
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- (instancetype)initWithInterpreter:(TFLInterpreter *)interpreter
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type:(TFLTensorType)type
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index:(NSUInteger)index
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name:(NSString *)name
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dataType:(TFLTensorDataType)dataType
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quantizationParameters:(nullable TFLQuantizationParameters *)quantizationParameters {
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self = [super init];
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if (self != nil) {
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_tensorDataAccessor = interpreter;
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_type = type;
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_index = index;
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_name = [name copy];
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_dataType = dataType;
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_quantizationParameters = quantizationParameters;
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}
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return self;
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}
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- (instancetype)initWithSignatureRunner:(TFLSignatureRunner *)signatureRunner
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type:(TFLTensorType)type
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nameInSignature:(NSString *)nameInSignature
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name:(NSString *)name
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dataType:(TFLTensorDataType)dataType
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quantizationParameters:
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(nullable TFLQuantizationParameters *)quantizationParameters {
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self = [super init];
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if (self != nil) {
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_tensorDataAccessor = signatureRunner;
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_type = type;
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_nameInSignature = [nameInSignature copy];
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_name = [name copy];
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_dataType = dataType;
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_quantizationParameters = quantizationParameters;
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}
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return self;
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}
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+ (NSString *)stringForTensorType:(TFLTensorType)type {
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switch (type) {
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case TFLTensorTypeInput:
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return kTFLInputTensorTypeString;
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case TFLTensorTypeOutput:
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return kTFLOutputTensorTypeString;
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}
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}
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@end
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NS_ASSUME_NONNULL_END
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