Uses of Class
org.robovm.apple.metalps.MPSCNNBatchNormalizationState

Packages that use MPSCNNBatchNormalizationState

Package	Description
org.robovm.apple.metalps

Uses of MPSCNNBatchNormalizationState in org.robovm.apple.metalps

Methods in org.robovm.apple.metalps that return MPSCNNBatchNormalizationState

Modifier and Type	Method	Description
MPSCNNBatchNormalizationState	MPSCNNBatchNormalization.getResultState(MPSImage sourceImage, NSArray<MPSState> sourceStates, MPSImage destinationImage)
MPSCNNBatchNormalizationState	MPSCNNBatchNormalization.getTemporaryResult(MTLCommandBuffer commandBuffer, MPSImage sourceImage, NSArray<MPSState> sourceStates, MPSImage destinationImage)

Methods in org.robovm.apple.metalps with parameters of type MPSCNNBatchNormalizationState

Modifier and Type	Method	Description
void	MPSCNNBatchNormalization.encode(MTLCommandBuffer commandBuffer, MPSImage sourceImage, MPSCNNBatchNormalizationState batchNormalizationState, MPSImage destinationImage)
MPSImage	MPSCNNBatchNormalizationGradient.encode(MTLCommandBuffer commandBuffer, MPSImage sourceGradient, MPSImage sourceImage, MPSCNNBatchNormalizationState batchNormalizationState)
void	MPSCNNBatchNormalizationGradient.encode(MTLCommandBuffer commandBuffer, MPSImage sourceGradient, MPSImage sourceImage, MPSCNNBatchNormalizationState batchNormalizationState, MPSImage destinationGradient)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, NSArray<MPSVector> maximumVelocityVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationGradientState, MPSCNNBatchNormalizationState batchNormalizationSourceState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, NSArray<MPSVector> maximumVelocityVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationGradientState, MPSCNNBatchNormalizationState batchNormalizationSourceState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerRMSProp.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSVector> inputSumOfSquaresVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerRMSProp.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationGradientState, MPSCNNBatchNormalizationState batchNormalizationSourceState, NSArray<MPSVector> inputSumOfSquaresVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSVector> inputMomentumVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationGradientState, MPSCNNBatchNormalizationState batchNormalizationSourceState, NSArray<MPSVector> inputMomentumVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	MPSCNNBatchNormalization.encodeBatch(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceImages, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSImage> destinationImages)
NSArray<MPSImage>	MPSCNNBatchNormalizationGradient.encodeBatch(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceGradients, NSArray<MPSImage> sourceImages, MPSCNNBatchNormalizationState batchNormalizationState)
void	MPSCNNBatchNormalizationGradient.encodeBatch(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceGradients, NSArray<MPSImage> sourceImages, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSImage> destinationGradients)
void	MPSCNNBatchNormalizationStatistics.encodeBatch(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceImages, MPSCNNBatchNormalizationState batchNormalizationState)
void	MPSCNNBatchNormalizationStatisticsGradient.encodeBatch(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceGradients, NSArray<MPSImage> sourceImages, MPSCNNBatchNormalizationState batchNormalizationState)
MPSCNNNormalizationGammaAndBetaState	MPSCNNBatchNormalizationDataSource.updateGammaAndBeta(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState)
boolean	MPSCNNBatchNormalizationDataSource.updateGammaAndBeta(MPSCNNBatchNormalizationState batchNormalizationState)
MPSCNNNormalizationGammaAndBetaState	MPSCNNBatchNormalizationDataSourceAdapter.updateGammaAndBeta(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState)
boolean	MPSCNNBatchNormalizationDataSourceAdapter.updateGammaAndBeta(MPSCNNBatchNormalizationState batchNormalizationState)
MPSCNNNormalizationMeanAndVarianceState	MPSCNNBatchNormalizationDataSource.updateMeanAndVariance(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState)
boolean	MPSCNNBatchNormalizationDataSource.updateMeanAndVariance(MPSCNNBatchNormalizationState batchNormalizationState)
MPSCNNNormalizationMeanAndVarianceState	MPSCNNBatchNormalizationDataSourceAdapter.updateMeanAndVariance(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState)
boolean	MPSCNNBatchNormalizationDataSourceAdapter.updateMeanAndVariance(MPSCNNBatchNormalizationState batchNormalizationState)