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Methods in org.robovm.apple.mlcompute that return MLCLossLayer
| Modifier and Type |
Method |
Description |
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 MLCLossLayer |
MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.createCosineDistanceLoss(MLCReductionType reductionType,
MLCTensor weights) |
|
static MLCLossLayer |
MLCLossLayer.createHingeLoss(MLCReductionType reductionType,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.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 MLCLossLayer |
MLCLossLayer.createLogLoss(MLCReductionType reductionType,
float epsilon,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.createLogLoss(MLCReductionType reductionType,
float epsilon,
MLCTensor weights) |
|
static MLCLossLayer |
MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.createMeanAbsoluteErrorLoss(MLCReductionType reductionType,
MLCTensor weights) |
|
static MLCLossLayer |
MLCLossLayer.createMeanSquaredErrorLoss(MLCReductionType reductionType,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.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 MLCLossLayer |
MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
float weight) |
|
static MLCLossLayer |
MLCLossLayer.createSoftmaxCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
MLCTensor weights) |
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