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

Packages that use MLCTensorData

Package	Description
org.robovm.apple.mlcompute

Uses of MLCTensorData in org.robovm.apple.mlcompute

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

Modifier and Type	Method	Description
static MLCTensorData	MLCTensorData.createDataNoCopy(VoidPtr bytes, long length)
static MLCTensorData	MLCTensorData.createDataNoCopy(VoidPtr bytes, long length, VoidBlock2<VoidPtr,Long> deallocator)
static MLCTensorData	MLCTensorData.createDataUsingImutableBytesNoCopy(VoidPtr bytes, long length)

Methods in org.robovm.apple.mlcompute that return types with arguments of type MLCTensorData

Modifier and Type	Method	Description
NSArray<MLCTensorData>	MLCTensor.getOptimizerData()

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

Modifier and Type	Method	Description
boolean	MLCTensor.bindAndWriteData(MLCTensorData data, MLCDevice device)
protected static long	MLCTensor.create(long width, long height, long featureChannelCount, long batchSize, MLCTensorData data)
protected static long	MLCTensor.create(long width, long height, long featureChannelCount, long batchSize, MLCTensorData data, MLCDataType dataType)
protected static long	MLCTensor.create(long sequenceLength, long featureChannelCount, long batchSize, MLCTensorData data)
protected static long	MLCTensor.create(NSArray<NSNumber> sequenceLengths, boolean sortedSequences, long featureChannelCount, long batchSize, MLCTensorData data)
protected static long	MLCTensor.create(NSArray<NSNumber> shape, MLCTensorData data, MLCDataType dataType)
protected static long	MLCTensor.create(MLCTensorDescriptor tensorDescriptor, MLCTensorData data)

Method parameters in org.robovm.apple.mlcompute with type arguments of type MLCTensorData

Modifier and Type	Method	Description
boolean	MLCGraph.bindAndWriteData(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensor> inputTensors, MLCDevice device, boolean synchronous)
boolean	MLCGraph.bindAndWriteData(NSDictionary<NSString,MLCTensorData> inputsData, NSDictionary<NSString,MLCTensor> inputTensors, MLCDevice device, long batchSize, boolean synchronous)
boolean	MLCTensor.bindOptimizerData(NSArray<MLCTensorData> data, NSArray<MLCTensorOptimizerDeviceData> deviceData)
boolean	MLCTrainingGraph.bindOptimizerData(NSArray<MLCTensorData> data, NSArray<MLCTensorOptimizerDeviceData> deviceData, MLCTensor tensor)
protected static long	MLCTensorParameter.create(MLCTensor tensor, NSArray<MLCTensorData> optimizerData)
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.executeGradient(long batchSize, MLCExecutionOptions options, NSDictionary<NSString,MLCTensorData> outputsData, VoidBlock3<MLCTensor,NSError,Double> completionHandler)

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

Constructor	Description
MLCTensor(long width, long height, long featureChannelCount, long batchSize, MLCTensorData data)
MLCTensor(long width, long height, long featureChannelCount, long batchSize, MLCTensorData data, MLCDataType dataType)
MLCTensor(long sequenceLength, long featureChannelCount, long batchSize, MLCTensorData data)
MLCTensor(NSArray<NSNumber> sequenceLengths, boolean sortedSequences, long featureChannelCount, long batchSize, MLCTensorData data)
MLCTensor(NSArray<NSNumber> shape, MLCTensorData data, MLCDataType dataType)
MLCTensor(MLCTensorDescriptor tensorDescriptor, MLCTensorData data)

Constructor parameters in org.robovm.apple.mlcompute with type arguments of type MLCTensorData

Constructor	Description
MLCTensorParameter(MLCTensor tensor, NSArray<MLCTensorData> optimizerData)