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