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

Packages that use MPSCNNConvolutionWeightsAndBiasesState

Package	Description
org.robovm.apple.metalps

Uses of MPSCNNConvolutionWeightsAndBiasesState in org.robovm.apple.metalps

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

Modifier and Type	Method	Description
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolution.exportWeightsAndBiases(MTLCommandBuffer commandBuffer, boolean resultStateCanBeTemporary)
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolutionTranspose.exportWeightsAndBiases(MTLCommandBuffer commandBuffer, boolean resultStateCanBeTemporary)
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolutionDataSource.update(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolutionDataSourceAdapter.update(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)

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

Modifier and Type	Method	Description
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, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputSumOfSquaresVectors, MPSCNNConvolutionWeightsAndBiasesState resultState)
void	MPSNNOptimizerStochasticGradientDescent.encode(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputMomentumVectors, MPSCNNConvolutionWeightsAndBiasesState resultState)
void	MPSCNNConvolution.reloadWeightsAndBiases(MTLCommandBuffer commandBuffer, MPSCNNConvolutionWeightsAndBiasesState state)
void	MPSCNNConvolutionGradient.reloadWeightsAndBiases(MTLCommandBuffer commandBuffer, MPSCNNConvolutionWeightsAndBiasesState state)
void	MPSCNNConvolutionTranspose.reloadWeightsAndBiases(MTLCommandBuffer commandBuffer, MPSCNNConvolutionWeightsAndBiasesState state)
void	MPSCNNConvolutionTransposeGradient.reloadWeightsAndBiases(MTLCommandBuffer commandBuffer, MPSCNNConvolutionWeightsAndBiasesState state)
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolutionDataSource.update(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)
boolean	MPSCNNConvolutionDataSource.update(MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)
MPSCNNConvolutionWeightsAndBiasesState	MPSCNNConvolutionDataSourceAdapter.update(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)
boolean	MPSCNNConvolutionDataSourceAdapter.update(MPSCNNConvolutionGradientState gradientState, MPSCNNConvolutionWeightsAndBiasesState sourceState)