apple.mlcompute

Class MLCTensorDescriptor

java.lang.Object

org.moe.natj.general.NativeObject

org.moe.natj.objc.ObjCObject

apple.NSObject

apple.mlcompute.MLCTensorDescriptor

All Implemented Interfaces:

NSCopying, NSObject

public class MLCTensorDescriptor
extends NSObject
implements NSCopying

MLCTensorDescriptor

The MLCTensorDescriptor specifies a tensor descriptor.

Nested Class Summary

Nested classes/interfaces inherited from class apple.NSObject

NSObject.Function_instanceMethodForSelector_ret, NSObject.Function_methodForSelector_ret

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	MLCTensorDescriptor(org.moe.natj.general.Pointer peer)

Method Summary

Modifier and Type	Method and Description
static boolean	accessInstanceVariablesDirectly()
static MLCTensorDescriptor	alloc()
static MLCTensorDescriptor	allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
static boolean	automaticallyNotifiesObserversForKey(java.lang.String key)
NSArray<? extends NSNumber>	batchSizePerSequenceStep() [@property] batchSizePerSequenceStep
static void	cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)
static void	cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget, org.moe.natj.objc.SEL aSelector, java.lang.Object anArgument)
static NSArray<java.lang.String>	classFallbacksForKeyedArchiver()
static org.moe.natj.objc.Class	classForKeyedUnarchiver()
static MLCTensorDescriptor	convolutionBiasesDescriptorWithFeatureChannelCountDataType(long featureChannelCount, int dataType) Create a MLCTensorDescriptor object
static MLCTensorDescriptor	convolutionWeightsDescriptorWithInputFeatureChannelCountOutputFeatureChannelCountDataType(long inputFeatureChannelCount, long outputFeatureChannelCount, int dataType) Create a MLCTensorDescriptor object
static MLCTensorDescriptor	convolutionWeightsDescriptorWithWidthHeightInputFeatureChannelCountOutputFeatureChannelCountDataType(long width, long height, long inputFeatureChannelCount, long outputFeatureChannelCount, int dataType) Create a MLCTensorDescriptor object
java.lang.Object	copyWithZone(org.moe.natj.general.ptr.VoidPtr zone)
int	dataType() [@property] dataType
static java.lang.String	debugDescription_static()
static java.lang.String	description_static()
static MLCTensorDescriptor	descriptorWithShapeDataType(NSArray<? extends NSNumber> shape, int dataType) Create a MLCTensorDescriptor object
static MLCTensorDescriptor	descriptorWithShapeSequenceLengthsSortedSequencesDataType(NSArray<? extends NSNumber> shape, NSArray<? extends NSNumber> sequenceLengths, boolean sortedSequences, int dataType) Create a MLCTensorDescriptor object
static MLCTensorDescriptor	descriptorWithWidthHeightFeatureChannelCountBatchSize(long width, long height, long featureChannels, long batchSize) Create a MLCTensorDescriptor object
static MLCTensorDescriptor	descriptorWithWidthHeightFeatureChannelCountBatchSizeDataType(long width, long height, long featureChannelCount, long batchSize, int dataType) Create a MLCTensorDescriptor object
long	dimensionCount() [@property] dimensionCount
static long	hash_static()
MLCTensorDescriptor	init()
static NSObject.Function_instanceMethodForSelector_ret	instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)
static NSMethodSignature	instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)
static boolean	instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)
static boolean	isSubclassOfClass(org.moe.natj.objc.Class aClass)
static NSSet<java.lang.String>	keyPathsForValuesAffectingValueForKey(java.lang.String key)
static long	maxTensorDimensions() [@property] maxTensorDimensions
static MLCTensorDescriptor	new_objc()
static boolean	resolveClassMethod(org.moe.natj.objc.SEL sel)
static boolean	resolveInstanceMethod(org.moe.natj.objc.SEL sel)
NSArray<? extends NSNumber>	sequenceLengths() [@property] sequenceLengths
static void	setVersion_static(long aVersion)
NSArray<? extends NSNumber>	shape() [@property] shape
boolean	sortedSequences() [@property] sortedSequences
NSArray<? extends NSNumber>	stride() [@property] stride
static org.moe.natj.objc.Class	superclass_static()
long	tensorAllocationSizeInBytes() [@property] tensorAllocationSizeInBytes
static long	version_static()

Methods inherited from class apple.NSObject

accessibilityActivate, accessibilityActivationPoint, accessibilityAssistiveTechnologyFocusedIdentifiers, accessibilityAttributedHint, accessibilityAttributedLabel, accessibilityAttributedUserInputLabels, accessibilityAttributedValue, accessibilityContainerType, accessibilityCustomActions, accessibilityCustomRotors, accessibilityDecrement, accessibilityDragSourceDescriptors, accessibilityDropPointDescriptors, accessibilityElementAtIndex, accessibilityElementCount, accessibilityElementDidBecomeFocused, accessibilityElementDidLoseFocus, accessibilityElementIsFocused, accessibilityElements, accessibilityElementsHidden, accessibilityFrame, accessibilityHint, accessibilityIncrement, accessibilityLabel, accessibilityLanguage, accessibilityNavigationStyle, accessibilityPath, accessibilityPerformEscape, accessibilityPerformMagicTap, accessibilityRespondsToUserInteraction, accessibilityScroll, accessibilityTextualContext, accessibilityTraits, accessibilityUserInputLabels, accessibilityValue, accessibilityViewIsModal, addObserverForKeyPathOptionsContext, attemptRecoveryFromErrorOptionIndex, attemptRecoveryFromErrorOptionIndexDelegateDidRecoverSelectorContextInfo, autoContentAccessingProxy, awakeAfterUsingCoder, awakeFromNib, class_objc, classForCoder, classForKeyedArchiver, copy, dealloc, debugDescription, description, dictionaryWithValuesForKeys, didChangeValueForKey, didChangeValueForKeyWithSetMutationUsingObjects, didChangeValuesAtIndexesForKey, doesNotRecognizeSelector, fileManagerShouldProceedAfterError, fileManagerWillProcessPath, finalize_objc, forwardingTargetForSelector, forwardInvocation, hash, indexOfAccessibilityElement, isAccessibilityElement, isEqual, isKindOfClass, isMemberOfClass, isProxy, methodForSelector, methodSignatureForSelector, mutableArrayValueForKey, mutableArrayValueForKeyPath, mutableCopy, mutableOrderedSetValueForKey, mutableOrderedSetValueForKeyPath, mutableSetValueForKey, mutableSetValueForKeyPath, observationInfo, observeValueForKeyPathOfObjectChangeContext, performSelector, performSelectorInBackgroundWithObject, performSelectorOnMainThreadWithObjectWaitUntilDone, performSelectorOnMainThreadWithObjectWaitUntilDoneModes, performSelectorOnThreadWithObjectWaitUntilDone, performSelectorOnThreadWithObjectWaitUntilDoneModes, performSelectorWithObject, performSelectorWithObjectAfterDelay, performSelectorWithObjectAfterDelayInModes, performSelectorWithObjectWithObject, prepareForInterfaceBuilder, provideImageDataBytesPerRowOrigin_Size_UserInfo, removeObserverForKeyPath, removeObserverForKeyPathContext, replacementObjectForCoder, replacementObjectForKeyedArchiver, respondsToSelector, self, setAccessibilityActivationPoint, setAccessibilityAttributedHint, setAccessibilityAttributedLabel, setAccessibilityAttributedUserInputLabels, setAccessibilityAttributedValue, setAccessibilityContainerType, setAccessibilityCustomActions, setAccessibilityCustomRotors, setAccessibilityDragSourceDescriptors, setAccessibilityDropPointDescriptors, setAccessibilityElements, setAccessibilityElementsHidden, setAccessibilityFrame, setAccessibilityHint, setAccessibilityLabel, setAccessibilityLanguage, setAccessibilityNavigationStyle, setAccessibilityPath, setAccessibilityRespondsToUserInteraction, setAccessibilityTextualContext, setAccessibilityTraits, setAccessibilityUserInputLabels, setAccessibilityValue, setAccessibilityViewIsModal, setIsAccessibilityElement, setNilValueForKey, setObservationInfo, setShouldGroupAccessibilityChildren, setValueForKey, setValueForKeyPath, setValueForUndefinedKey, setValuesForKeysWithDictionary, shouldGroupAccessibilityChildren, superclass, validateValueForKeyError, validateValueForKeyPathError, valueForKey, valueForKeyPath, valueForUndefinedKey, willChangeValueForKey, willChangeValueForKeyWithSetMutationUsingObjects, willChangeValuesAtIndexesForKey

Methods inherited from class org.moe.natj.objc.ObjCObject

equals, toString

Methods inherited from class org.moe.natj.general.NativeObject

finalize, getPeer, getPeerPointer

Methods inherited from class java.lang.Object

clone, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

MLCTensorDescriptor

protected MLCTensorDescriptor(org.moe.natj.general.Pointer peer)

Method Detail

accessInstanceVariablesDirectly

public static boolean accessInstanceVariablesDirectly()

alloc

public static MLCTensorDescriptor alloc()

allocWithZone

public static MLCTensorDescriptor allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)

automaticallyNotifiesObserversForKey

public static boolean automaticallyNotifiesObserversForKey(java.lang.String key)

batchSizePerSequenceStep

public NSArray<? extends NSNumber> batchSizePerSequenceStep()

[@property] batchSizePerSequenceStep

The batch size for each sequence

We populate this only when sequenceLengths is valid. The length of this array should be the maximum sequence length in sequenceLengths (i.e sequenceLengths[0]).

cancelPreviousPerformRequestsWithTarget

public static void cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)

cancelPreviousPerformRequestsWithTargetSelectorObject

public static void cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget,
                                                                         org.moe.natj.objc.SEL aSelector,
                                                                         java.lang.Object anArgument)

classFallbacksForKeyedArchiver

public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()

classForKeyedUnarchiver

public static org.moe.natj.objc.Class classForKeyedUnarchiver()

convolutionBiasesDescriptorWithFeatureChannelCountDataType

public static MLCTensorDescriptor convolutionBiasesDescriptorWithFeatureChannelCountDataType(long featureChannelCount,
                                                                                             int dataType)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create a bias tensor.

Parameters:

featureChannelCount - The number of input feature channels

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

convolutionWeightsDescriptorWithInputFeatureChannelCountOutputFeatureChannelCountDataType

public static MLCTensorDescriptor convolutionWeightsDescriptorWithInputFeatureChannelCountOutputFeatureChannelCountDataType(long inputFeatureChannelCount,
                                                                                                                            long outputFeatureChannelCount,
                                                                                                                            int dataType)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create a weight tensor for a kernel of size 1.

Parameters:

inputFeatureChannelCount - The number of input feature channels

outputFeatureChannelCount - The number of output feature channels

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

convolutionWeightsDescriptorWithWidthHeightInputFeatureChannelCountOutputFeatureChannelCountDataType

public static MLCTensorDescriptor convolutionWeightsDescriptorWithWidthHeightInputFeatureChannelCountOutputFeatureChannelCountDataType(long width,
                                                                                                                                       long height,
                                                                                                                                       long inputFeatureChannelCount,
                                                                                                                                       long outputFeatureChannelCount,
                                                                                                                                       int dataType)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create a weight tensor.

Parameters:

width - The tensor width

height - The tensor height

inputFeatureChannelCount - The number of input feature channels

outputFeatureChannelCount - The number of output feature channels

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

copyWithZone

public java.lang.Object copyWithZone(org.moe.natj.general.ptr.VoidPtr zone)

Specified by:

copyWithZone in interface NSCopying

dataType

public int dataType()

[@property] dataType

The tensor data type. The default is MLCDataTypeFloat32.

debugDescription_static

public static java.lang.String debugDescription_static()

description_static

public static java.lang.String description_static()

descriptorWithShapeDataType

public static MLCTensorDescriptor descriptorWithShapeDataType(NSArray<? extends NSNumber> shape,
                                                              int dataType)

Create a MLCTensorDescriptor object

Parameters:

shape - The tensor shape

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

descriptorWithShapeSequenceLengthsSortedSequencesDataType

public static MLCTensorDescriptor descriptorWithShapeSequenceLengthsSortedSequencesDataType(NSArray<? extends NSNumber> shape,
                                                                                            NSArray<? extends NSNumber> sequenceLengths,
                                                                                            boolean sortedSequences,
                                                                                            int dataType)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create sequence tensors used by recurrent layers.

Parameters:

shape - The tensor shape

sequenceLengths - The sequence lengths in tensor

sortedSequences - A boolean to indicate whether sequences are sorted

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

descriptorWithWidthHeightFeatureChannelCountBatchSize

public static MLCTensorDescriptor descriptorWithWidthHeightFeatureChannelCountBatchSize(long width,
                                                                                        long height,
                                                                                        long featureChannels,
                                                                                        long batchSize)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create [NCHW] tensors used by convolutional layers.

Parameters:

width - The tensor width

height - The tensor height

featureChannels - The number of feature channels

batchSize - The batch size

Returns:

A new MLCTensorDescriptor object or nil if failure.

descriptorWithWidthHeightFeatureChannelCountBatchSizeDataType

public static MLCTensorDescriptor descriptorWithWidthHeightFeatureChannelCountBatchSizeDataType(long width,
                                                                                                long height,
                                                                                                long featureChannelCount,
                                                                                                long batchSize,
                                                                                                int dataType)

Create a MLCTensorDescriptor object

This method is provided as an easy to use API to create [NCHW] tensors used by convolutional layers.

Parameters:

width - The tensor width

height - The tensor height

featureChannelCount - The number of feature channels

batchSize - The batch size

dataType - The tensor data type

Returns:

A new MLCTensorDescriptor object or nil if failure.

dimensionCount

public long dimensionCount()

[@property] dimensionCount

The number of dimensions in the tensor

hash_static

public static long hash_static()

init

public MLCTensorDescriptor init()

Overrides:

init in class NSObject

instanceMethodForSelector

public static NSObject.Function_instanceMethodForSelector_ret instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)

instanceMethodSignatureForSelector

public static NSMethodSignature instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)

instancesRespondToSelector

public static boolean instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)

isSubclassOfClass

public static boolean isSubclassOfClass(org.moe.natj.objc.Class aClass)

keyPathsForValuesAffectingValueForKey

public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey(java.lang.String key)

maxTensorDimensions

public static long maxTensorDimensions()

[@property] maxTensorDimensions

The maximum number of tensor dimensions supported

new_objc

public static MLCTensorDescriptor new_objc()

resolveClassMethod

public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)

resolveInstanceMethod

public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)

sequenceLengths

public NSArray<? extends NSNumber> sequenceLengths()

[@property] sequenceLengths

TODO

setVersion_static

public static void setVersion_static(long aVersion)

shape

public NSArray<? extends NSNumber> shape()

[@property] shape

The size in each dimension

sortedSequences

public boolean sortedSequences()

[@property] sortedSequences

Specifies whether the sequences are sorted or not.

stride

public NSArray<? extends NSNumber> stride()

[@property] stride

The stride in bytes in each dimension

superclass_static

public static org.moe.natj.objc.Class superclass_static()

tensorAllocationSizeInBytes

public long tensorAllocationSizeInBytes()

[@property] tensorAllocationSizeInBytes

The allocation size in bytes for a tensor.

version_static

public static long version_static()