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mpscnnbatchnormalizationstate(3) [mojave man page]

MPSCNNBatchNormalizationState(3)			 MetalPerformanceShaders.framework			  MPSCNNBatchNormalizationState(3)

NAME
MPSCNNBatchNormalizationState SYNOPSIS
#import <MPSCNNBatchNormalization.h> Inherits MPSState. Instance Methods (nonnull instancetype) - initWithResource: (void) - reset (nullable id< MTLBuffer >) - mean (nullable id< MTLBuffer >) - variance (nullable id< MTLBuffer >) - gradientForGamma (nullable id< MTLBuffer >) - gradientForBeta Class Methods (nonnull instancetype) + temporaryStateWithCommandBuffer:bufferSize: (__nonnull instancetype) + temporaryStateWithCommandBuffer:textureDescriptor: Properties MPSCNNBatchNormalization * batchNormalization MPSCNNNormalizationGammaAndBetaState * gammaAndBetaState Detailed Description MPSCNNBatchNormalizationState encapsulates the data necessary to execute batch normalization. MPSCNNBatchNormalizationState cannot initialize the size of its own underlying resources. Use [MPSCNNBatchNormalizationStatistics resultStateForSourceImages:] or [MPSCNNBatchNormalizationStatistics temporaryResultStateForCommandBuffer:sourceImages:]. Method Documentation - (nullable id<MTLBuffer>) gradientForBeta Return an MTLBuffer object containing the values of the gradient of the loss function with respect to the bias terms. If a MPSCNNBatchNormalizationGradient kernel has not successfully generated these values nil will be returned. - (nullable id<MTLBuffer>) gradientForGamma Return an MTLBuffer object containing the values of the gradient of the loss function with respect to the scale factors. If a MPSCNNBatchNormalizationGradient kernel has not successfully generated these values nil will be returned. - (nonnull instancetype) initWithResource: (__nullable id< MTLResource >) resource Unavailable. Use MPSCNNBatchNormalizationStatistics methods to initialize the state object. Reimplemented from MPSState. - (nullable id<MTLBuffer>) mean Return an MTLBuffer object with the most recently computed batch mean values. - (void) reset Reset any accumulated state data to its initial values. + (nonnull instancetype) temporaryStateWithCommandBuffer: (__nonnull id< MTLCommandBuffer >) cmdBuf(size_t) bufferSize Unavailable. Use MPSCNNBatchNormalizationStatistics methods to create the temporary state object. Reimplemented from MPSState. + (__nonnull instancetype) temporaryStateWithCommandBuffer: (__nonnull id< MTLCommandBuffer >) cmdBuf(MTLTextureDescriptor *__nonnull) descriptor Create a MPSState holding a temporary MTLTexture Parameters: cmdBuf The command buffer against which the temporary resource is allocated descriptor A descriptor for the new temporary texture Reimplemented from MPSState. - (nullable id<MTLBuffer>) variance Return an MTLBuffer object with the most recently computed batch variance values. Property Documentation - (MPSCNNBatchNormalization*) batchNormalization [read], [nonatomic], [retain] - (MPSCNNNormalizationGammaAndBetaState*) gammaAndBetaState [read], [nonatomic], [retain] Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNBatchNormalizationState(3)

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MPSCNNInstanceNormalization(3)				 MetalPerformanceShaders.framework			    MPSCNNInstanceNormalization(3)

NAME
MPSCNNInstanceNormalization SYNOPSIS
#import <MPSCNNInstanceNormalization.h> Inherits MPSCNNKernel. Instance Methods (nonnull instancetype) - initWithDevice:dataSource: (nonnull instancetype) - initWithDevice: (nullable instancetype) - initWithCoder:device: (void) - reloadDataSource: (void) - reloadGammaAndBetaWithCommandBuffer:gammaAndBetaState: (MPSCNNInstanceNormalizationGradientState *__nullable) - resultStateForSourceImage:sourceStates:destinationImage: Properties float epsilon id< MPSCNNInstanceNormalizationDataSource > dataSource Additional Inherited Members Detailed Description This depends on Metal.framework This kernel normalizes each image, on a per-channel basis, to have zero mean and unit variance: for each image: for each channel: y = (x - mean) * gamma / sqrt(variance + epsilon) + beta; Method Documentation - (nullable instancetype) initWithCoder: (NSCoder *__nonnull) aDecoder(nonnull id< MTLDevice >) device NSSecureCoding compatability While the standard NSSecureCoding/NSCoding method -initWithCoder: should work, since the file can't know which device your data is allocated on, we have to guess and may guess incorrectly. To avoid that problem, use initWithCoder:device instead. Parameters: aDecoder The NSCoder subclass with your serialized MPSKernel device The MTLDevice on which to make the MPSKernel Returns: A new MPSCNNInstanceNormalization object, or nil if failure. Reimplemented from MPSCNNKernel. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device Use initWithDevice:dataSource instead Reimplemented from MPSCNNKernel. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(nonnull id< MPSCNNInstanceNormalizationDataSource >) dataSource Initialize a MPSCNNInstanceNormalization kernel on a device. Parameters: dataSource An object conforming to the MPSCNNInstanceNormalizationDataSource protocol which - (void) reloadDataSource: (__nonnull id< MPSCNNInstanceNormalizationDataSource >) dataSource Reload data using a data source. Parameters: dataSource The data source which will provide the gamma and beta terms to scale and bias the normalized result respectively. - (void) reloadGammaAndBetaWithCommandBuffer: (__nonnull id< MTLCommandBuffer >) commandBuffer(MPSCNNNormalizationGammaAndBetaState *__nonnull) gammaAndBetaState Reload data using new gamma and beta terms contained within an MPSCNNInstanceNormalizationGradientState object. Parameters: commandBuffer The command buffer on which to encode the reload. gammaAndBetaState The state containing the updated weights which are to be reloaded. - (MPSCNNInstanceNormalizationGradientState * __nullable) resultStateForSourceImage: (MPSImage *__nonnull) sourceImage(NSArray< MPSState * > *__nullable) sourceStates(MPSImage *__nonnull) destinationImage Return a MPSCNNInstanceNormalizationGradientState object for the provided source image, source states, and destination image. Reimplemented from MPSCNNKernel. Property Documentation - (id<MPSCNNInstanceNormalizationDataSource>) dataSource [read], [nonatomic], [retain] The data source that the object was initialized with - epsilon [read], [write], [nonatomic], [assign] The epsilon value used to bias the variance when normalizing. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNInstanceNormalization(3)
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