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

Packages that use MPSVector

Package	Description
org.robovm.apple.metalps
org.robovm.apple.metalpsgraph

Uses of MPSVector in org.robovm.apple.metalps

Subclasses of MPSVector in org.robovm.apple.metalps

Modifier and Type	Class	Description
class	MPSTemporaryVector

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

Modifier and Type	Method	Description
void	MPSMatrixBatchNormalization.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSVector meanVector, MPSVector varianceVector, MPSVector gammaVector, MPSVector betaVector, MPSMatrix resultMatrix)
void	MPSMatrixBatchNormalizationGradient.encode(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix inputMatrix, MPSVector meanVector, MPSVector varianceVector, MPSVector gammaVector, MPSVector betaVector, MPSMatrix resultGradientForDataMatrix, MPSVector resultGradientForGammaVector, MPSVector resultGradientForBetaVector)
void	MPSMatrixCopy.encode(MTLCommandBuffer commandBuffer, MPSMatrixCopyDescriptor copyDescriptor, MPSVector rowPermuteIndices, long rowPermuteOffset, MPSVector columnPermuteIndices, long columnPermuteOffset)
void	MPSMatrixFullyConnected.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSMatrix weightMatrix, MPSVector biasVector, MPSMatrix resultMatrix)
void	MPSMatrixNeuron.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSVector biasVector, MPSMatrix resultMatrix)
void	MPSMatrixNeuronGradient.encode(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix inputMatrix, MPSVector biasVector, MPSMatrix resultGradientForDataMatrix, MPSVector resultGradientForBiasVector)
void	MPSMatrixRandom.encode(MTLCommandBuffer commandBuffer, MPSVector destinationVector)
void	MPSMatrixSum.encode(MTLCommandBuffer buffer, NSArray<MPSMatrix> sourceMatrices, MPSMatrix resultMatrix, MPSVector scaleVector, MPSVector offsetVector, MPSVector biasVector, long startIndex)
void	MPSMatrixVectorMultiplication.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSVector inputVector, MPSVector resultVector)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSVector inputGradientVector, MPSVector inputValuesVector, MPSVector inputMomentumVector, MPSVector inputVelocityVector, MPSVector resultValuesVector)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSVector inputGradientVector, MPSVector inputValuesVector, MPSVector inputMomentumVector, MPSVector inputVelocityVector, MPSVector maximumVelocityVector, MPSVector resultValuesVector)
void	MPSNNOptimizerRMSProp.encode(MTLCommandBuffer commandBuffer, MPSVector inputGradientVector, MPSVector inputValuesVector, MPSVector inputSumOfSquaresVector, MPSVector resultValuesVector)
void	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSVector inputGradientVector, MPSVector inputValuesVector, MPSVector inputMomentumVector, MPSVector resultValuesVector)
void	MPSMatrixFullyConnectedGradient.encodeGradient(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix inputMatrix, MPSMatrix resultGradientForWeightMatrix, MPSVector resultGradientForBiasVector)
protected long	MPSMatrixCopyDescriptor.init(NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, MPSVector offsets, long byteOffset)

Method parameters in org.robovm.apple.metalps with type arguments of type MPSVector

Modifier and Type	Method	Description
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	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, NSArray<MPSVector> maximumVelocityVectors, MPSCNNConvolutionWeightsAndBiasesState resultState)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputMomentumVectors, NSArray<MPSVector> inputVelocityVectors, MPSCNNConvolutionWeightsAndBiasesState 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	MPSNNOptimizerRMSProp.encode(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputSumOfSquaresVectors, MPSCNNConvolutionWeightsAndBiasesState 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	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputMomentumVectors, MPSCNNConvolutionWeightsAndBiasesState resultState)

Constructors in org.robovm.apple.metalps with parameters of type MPSVector

Constructor	Description
MPSMatrixCopyDescriptor(NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, MPSVector offsets, long byteOffset)

Uses of MPSVector in org.robovm.apple.metalpsgraph

Methods in org.robovm.apple.metalpsgraph with parameters of type MPSVector

Modifier and Type	Method	Description
protected long	MPSGraphTensorData.init(MPSVector vector)
protected long	MPSGraphTensorData.init(MPSVector vector, long rank)

Constructors in org.robovm.apple.metalpsgraph with parameters of type MPSVector

Constructor	Description
MPSGraphTensorData(MPSVector vector)
MPSGraphTensorData(MPSVector vector, long rank)