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

Packages that use MLCExecutionOptions

Package	Description
org.robovm.apple.mlcompute

Uses of MLCExecutionOptions in org.robovm.apple.mlcompute

Fields in org.robovm.apple.mlcompute declared as MLCExecutionOptions

Modifier and Type	Field	Description
static MLCExecutionOptions	MLCExecutionOptions.ForwardForInference
static MLCExecutionOptions	MLCExecutionOptions.None
static MLCExecutionOptions	MLCExecutionOptions.PerLayerProfiling
static MLCExecutionOptions	MLCExecutionOptions.Profiling
static MLCExecutionOptions	MLCExecutionOptions.SkipWritingInputDataToDevice
static MLCExecutionOptions	MLCExecutionOptions.Synchronous

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

Modifier and Type	Method	Description
protected MLCExecutionOptions[]	MLCExecutionOptions._values()
static MLCExecutionOptions[]	MLCExecutionOptions.values()
protected MLCExecutionOptions	MLCExecutionOptions.wrap(long value, long mask)

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

Modifier and Type	Method	Description
boolean	MLCInferenceGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCInferenceGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensorData> outputsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCInferenceGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensorData> lossLabelsData, NSDictionary<NSString,MLCTensorData> lossLabelWeightsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCInferenceGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensorData> lossLabelsData, NSDictionary<NSString,MLCTensorData> lossLabelWeightsData, NSDictionary<NSString,MLCTensorData> outputsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensorData> lossLabelsData, NSDictionary<NSString,MLCTensorData> lossLabelWeightsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.execute(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensorData> lossLabelsData, NSDictionary<NSString,MLCTensorData> lossLabelWeightsData, NSDictionary<NSString,MLCTensorData> outputsData, long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.executeForward(long batchSize, MLCExecutionOptions options, NSDictionary<NSString,MLCTensorData> outputsData, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.executeForward(long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.executeGradient(long batchSize, MLCExecutionOptions options, NSDictionary<NSString,MLCTensorData> outputsData, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.executeGradient(long batchSize, MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)
boolean	MLCTrainingGraph.executeOptimizerUpdate(MLCExecutionOptions options, VoidBlock3<MLCTensor,NSError,Double> completionHandler)