Uses of Class
org.robovm.apple.mlcompute.MLCReductionType

Packages that use MLCReductionType

Package	Description
org.robovm.apple.mlcompute

Uses of MLCReductionType in org.robovm.apple.mlcompute

Methods in org.robovm.apple.mlcompute that return MLCReductionType

Modifier and Type	Method	Description
MLCReductionType	MLCLossDescriptor.getReductionType()
MLCReductionType	MLCReductionLayer.getReductionType()
MLCReductionType	MLCScatterLayer.getReductionType()
static MLCReductionType	MLCReductionType.valueOf(long n)	Returns the enum constant of this type with the specified name.
static MLCReductionType	MLCReductionType.valueOf(String name)	Returns the enum constant of this type with the specified name.
static MLCReductionType[]	MLCReductionType.values()	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.robovm.apple.mlcompute with parameters of type MLCReductionType

Modifier and Type	Method	Description
protected static long	MLCLossDescriptor.create(MLCLossType lossType, MLCReductionType reductionType)
protected static long	MLCLossDescriptor.create(MLCLossType lossType, MLCReductionType reductionType, float weight)
protected static long	MLCLossDescriptor.create(MLCLossType lossType, MLCReductionType reductionType, float weight, float labelSmoothing, long classCount)
protected static long	MLCLossDescriptor.create(MLCLossType lossType, MLCReductionType reductionType, float weight, float labelSmoothing, long classCount, float epsilon, float delta)
protected static long	MLCReductionLayer.create(MLCReductionType reductionType, long dimension)
protected static long	MLCReductionLayer.create(MLCReductionType reductionType, NSArray<NSNumber> dimensions)
protected static long	MLCScatterLayer.create(long dimension, MLCReductionType reductionType)
static MLCLossLayer	MLCLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	MLCLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createCosineDistanceLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createHingeLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createHingeLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createHingeLoss(MLCReductionType reductionType, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createHingeLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, float weight)
static MLCLossLayer	MLCLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createHuberLoss(MLCReductionType reductionType, float delta, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, float weight)
static MLCLossLayer	MLCLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createLogLoss(MLCReductionType reductionType, float epsilon, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	MLCLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, float weight)
static MLCLossLayer	MLCLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, MLCTensor weights)
static MLCLossLayer	MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCYOLOLossLayer	MLCYOLOLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
MLCTensor	MLCGraph.scatter(long dimension, MLCTensor source, MLCTensor indices, MLCTensor copyFrom, MLCReductionType reductionType)

Constructors in org.robovm.apple.mlcompute with parameters of type MLCReductionType

Constructor	Description
MLCLossDescriptor(MLCLossType lossType, MLCReductionType reductionType)
MLCLossDescriptor(MLCLossType lossType, MLCReductionType reductionType, float weight)
MLCLossDescriptor(MLCLossType lossType, MLCReductionType reductionType, float weight, float labelSmoothing, long classCount)
MLCLossDescriptor(MLCLossType lossType, MLCReductionType reductionType, float weight, float labelSmoothing, long classCount, float epsilon, float delta)
MLCReductionLayer(MLCReductionType reductionType, long dimension)
MLCReductionLayer(MLCReductionType reductionType, NSArray<NSNumber> dimensions)
MLCScatterLayer(long dimension, MLCReductionType reductionType)