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

Packages that use MPSMatrix

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

Uses of MPSMatrix in org.robovm.apple.metalps

Subclasses of MPSMatrix in org.robovm.apple.metalps

Modifier and Type	Class	Description
class	MPSTemporaryMatrix

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

Modifier and Type	Method	Description
MPSMatrix	MPSRNNRecurrentMatrixState.getMemoryCellMatrixForLayerIndex(long layerIndex)
MPSMatrix	MPSRNNRecurrentMatrixState.getRecurrentOutputMatrixForLayerIndex(long layerIndex)

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

Modifier and Type	Method	Description
static MPSMatrixCopyDescriptor	MPSMatrixCopyDescriptor.create(MPSMatrix sourceMatrix, MPSMatrix destinationMatrix, MPSMatrixCopyOffsets offsets)
void	MPSImageCopyToMatrix.encode(MTLCommandBuffer commandBuffer, NSArray<MPSImage> sourceImages, MPSMatrix destinationMatrix)
void	MPSImageCopyToMatrix.encode(MTLCommandBuffer commandBuffer, MPSImage sourceImage, MPSMatrix destinationMatrix)
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	MPSMatrixCopyToImage.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSImage destinationImage)
void	MPSMatrixDecompositionCholesky.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSMatrix resultMatrix, MTLBuffer status)
void	MPSMatrixDecompositionLU.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSMatrix resultMatrix, MPSMatrix pivotIndices, MTLBuffer status)
void	MPSMatrixFindTopK.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSMatrix resultIndexMatrix, MPSMatrix resultValueMatrix)
void	MPSMatrixFullyConnected.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSMatrix weightMatrix, MPSVector biasVector, MPSMatrix resultMatrix)
void	MPSMatrixMultiplication.encode(MTLCommandBuffer commandBuffer, MPSMatrix leftMatrix, MPSMatrix rightMatrix, 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, MPSMatrix destinationMatrix)
void	MPSMatrixSoftMax.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSMatrix resultMatrix)
void	MPSMatrixSoftMaxGradient.encode(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix forwardOutputMatrix, MPSMatrix resultMatrix)
void	MPSMatrixSolveCholesky.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSMatrix rightHandSideMatrix, MPSMatrix solutionMatrix)
void	MPSMatrixSolveLU.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSMatrix rightHandSideMatrix, MPSMatrix pivotIndices, MPSMatrix solutionMatrix)
void	MPSMatrixSolveTriangular.encode(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, MPSMatrix rightHandSideMatrix, MPSMatrix solutionMatrix)
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, MPSMatrix inputGradientMatrix, MPSMatrix inputValuesMatrix, MPSMatrix inputMomentumMatrix, MPSMatrix inputVelocityMatrix, MPSMatrix resultValuesMatrix)
void	MPSNNOptimizerAdam.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputGradientMatrix, MPSMatrix inputValuesMatrix, MPSMatrix inputMomentumMatrix, MPSMatrix inputVelocityMatrix, MPSMatrix maximumVelocityMatrix, MPSMatrix resultValuesMatrix)
void	MPSNNOptimizerRMSProp.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputGradientMatrix, MPSMatrix inputValuesMatrix, MPSMatrix inputSumOfSquaresMatrix, MPSMatrix resultValuesMatrix)
void	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSMatrix inputGradientMatrix, MPSMatrix inputValuesMatrix, MPSMatrix inputMomentumMatrix, MPSMatrix resultValuesMatrix)
void	MPSMatrixCopyToImage.encodeBatch(MTLCommandBuffer commandBuffer, MPSMatrix sourceMatrix, NSArray<MPSImage> destinationImages)
void	MPSRNNMatrixTrainingLayer.encodeCopyWeights(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> weights, MPSRNNMatrixId matrixId, MPSMatrix matrix, boolean copyFromWeightsToMatrix, MTLOrigin matrixOffset)
void	MPSMatrixFullyConnectedGradient.encodeGradient(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix weightMatrix, MPSMatrix resultGradientForDataMatrix)
void	MPSMatrixFullyConnectedGradient.encodeGradient(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix inputMatrix, MPSMatrix resultGradientForWeightMatrix, MPSVector resultGradientForBiasVector)
void	MPSMatrixCopyDescriptor.setCopyOperation(long index, MPSMatrix sourceMatrix, MPSMatrix destinationMatrix, MPSMatrixCopyOffsets offsets)

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

Modifier and Type	Method	Description
void	MPSRNNMatrixTrainingLayer.createTemporaryWeightGradientMatrices(NSMutableArray<MPSMatrix> matricesOut, MPSDataType dataType, MTLCommandBuffer commandBuffer)
void	MPSRNNMatrixTrainingLayer.createWeightGradientMatrices(NSMutableArray<MPSMatrix> matricesOut, MPSDataType dataType)
void	MPSRNNMatrixTrainingLayer.createWeightMatrices(NSMutableArray<MPSMatrix> matricesOut)
void	MPSMatrixSum.encode(MTLCommandBuffer buffer, NSArray<MPSMatrix> sourceMatrices, MPSMatrix resultMatrix, MPSVector scaleVector, MPSVector offsetVector, MPSVector biasVector, long startIndex)
void	MPSRNNMatrixInferenceLayer.encodeBidirectionalSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> sourceSequence, NSArray<MPSMatrix> destinationForwardMatrices, NSArray<MPSMatrix> destinationBackwardMatrices)
void	MPSRNNMatrixTrainingLayer.encodeCopyWeights(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> weights, MPSRNNMatrixId matrixId, MPSMatrix matrix, boolean copyFromWeightsToMatrix, MTLOrigin matrixOffset)
void	MPSRNNMatrixTrainingLayer.encodeForwardSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, NSMutableArray<MPSRNNMatrixTrainingState> trainingStates, NSArray<MPSMatrix> weights)
void	MPSRNNMatrixTrainingLayer.encodeForwardSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> sourceMatrices, MachineSizedUIntPtr sourceOffsets, NSArray<MPSMatrix> destinationMatrices, MachineSizedUIntPtr destinationOffsets, NSMutableArray<MPSRNNMatrixTrainingState> trainingStates, MPSRNNRecurrentMatrixState recurrentInputState, NSMutableArray<MPSRNNRecurrentMatrixState> recurrentOutputStates, NSArray<MPSMatrix> weights)
void	MPSRNNMatrixTrainingLayer.encodeGradientSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> forwardSources, NSArray<MPSMatrix> sourceGradients, NSArray<MPSMatrix> destinationGradients, NSArray<MPSMatrix> weightGradients, NSArray<MPSRNNMatrixTrainingState> trainingStates, NSArray<MPSMatrix> weights)
void	MPSRNNMatrixTrainingLayer.encodeGradientSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> forwardSources, MachineSizedUIntPtr forwardSourceOffsets, NSArray<MPSMatrix> sourceGradients, MachineSizedUIntPtr sourceGradientOffsets, NSArray<MPSMatrix> destinationGradients, MachineSizedUIntPtr destinationOffsets, NSArray<MPSMatrix> weightGradients, NSArray<MPSRNNMatrixTrainingState> trainingStates, MPSRNNRecurrentMatrixState recurrentInputState, NSMutableArray<MPSRNNRecurrentMatrixState> recurrentOutputStates, NSArray<MPSMatrix> weights)
void	MPSRNNMatrixInferenceLayer.encodeSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, MPSRNNRecurrentMatrixState recurrentInputState, NSMutableArray<MPSRNNRecurrentMatrixState> recurrentOutputStates)
void	MPSRNNMatrixInferenceLayer.encodeSequence(MTLCommandBuffer commandBuffer, NSArray<MPSMatrix> sourceMatrices, MachineSizedUIntPtr sourceOffsets, NSArray<MPSMatrix> destinationMatrices, MachineSizedUIntPtr destinationOffsets, MPSRNNRecurrentMatrixState recurrentInputState, NSMutableArray<MPSRNNRecurrentMatrixState> recurrentOutputStates)
protected long	MPSMatrixCopyDescriptor.init(NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, MPSVector offsets, long byteOffset)
protected long	MPSRNNMatrixTrainingLayer.init(MTLDevice device, MPSRNNDescriptor rnnDescriptor, NSMutableArray<MPSMatrix> trainableWeights)

Constructor parameters in org.robovm.apple.metalps with type arguments of type MPSMatrix

Constructor	Description
MPSMatrixCopyDescriptor(NSArray<MPSMatrix> sourceMatrices, NSArray<MPSMatrix> destinationMatrices, MPSVector offsets, long byteOffset)
MPSRNNMatrixTrainingLayer(MTLDevice device, MPSRNNDescriptor rnnDescriptor, NSMutableArray<MPSMatrix> trainableWeights)

Uses of MPSMatrix in org.robovm.apple.metalpsgraph

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

Modifier and Type	Method	Description
protected long	MPSGraphTensorData.init(MPSMatrix matrix)
protected long	MPSGraphTensorData.init(MPSMatrix matrix, long rank)

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

Constructor	Description
MPSGraphTensorData(MPSMatrix matrix)
MPSGraphTensorData(MPSMatrix matrix, long rank)