apple.mlcompute

Class MLCLSTMLayer

java.lang.Object

org.moe.natj.general.NativeObject

org.moe.natj.objc.ObjCObject

apple.NSObject

apple.mlcompute.MLCLayer

apple.mlcompute.MLCLSTMLayer

All Implemented Interfaces:

NSObject

public class MLCLSTMLayer
extends MLCLayer

MLCLSTMLayer

A LSTM layer

The hidden and cell state for inputs and outputs have a layout of [numberOfLayers, numberOfDirections, batchSize, hiddenSize].

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	MLCLSTMLayer(org.moe.natj.general.Pointer peer)

Method Summary

Modifier and Type	Method and Description
static boolean	accessInstanceVariablesDirectly()
static MLCLSTMLayer	alloc()
static MLCLSTMLayer	allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
static boolean	automaticallyNotifiesObserversForKey(java.lang.String key)
NSArray<? extends MLCTensor>	biases() [@property] biases
NSArray<? extends MLCTensorParameter>	biasesParameters() [@property] biasesParameters
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 java.lang.String	debugDescription_static()
static java.lang.String	description_static()
MLCLSTMDescriptor	descriptor() [@property] descriptor
NSArray<? extends MLCActivationDescriptor>	gateActivations() [@property] gateActivations
static long	hash_static()
NSArray<? extends MLCTensor>	hiddenWeights() [@property] hiddenWeights
NSArray<? extends MLCTensorParameter>	hiddenWeightsParameters() [@property] hiddenWeightsParameters
MLCLSTMLayer	init()
NSArray<? extends MLCTensor>	inputWeights() [@property] inputWeights
NSArray<? extends MLCTensorParameter>	inputWeightsParameters() [@property] inputWeightsParameters
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 MLCLSTMLayer	layerWithDescriptorInputWeightsHiddenWeightsBiases(MLCLSTMDescriptor descriptor, NSArray<? extends MLCTensor> inputWeights, NSArray<? extends MLCTensor> hiddenWeights, NSArray<? extends MLCTensor> biases) Create a LSTM layer
static MLCLSTMLayer	layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiases(MLCLSTMDescriptor descriptor, NSArray<? extends MLCTensor> inputWeights, NSArray<? extends MLCTensor> hiddenWeights, NSArray<? extends MLCTensor> peepholeWeights, NSArray<? extends MLCTensor> biases) Create a LSTM layer
static MLCLSTMLayer	layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiasesGateActivationsOutputResultActivation(MLCLSTMDescriptor descriptor, NSArray<? extends MLCTensor> inputWeights, NSArray<? extends MLCTensor> hiddenWeights, NSArray<? extends MLCTensor> peepholeWeights, NSArray<? extends MLCTensor> biases, NSArray<? extends MLCActivationDescriptor> gateActivations, MLCActivationDescriptor outputResultActivation) Create a LSTM layer
static MLCLSTMLayer	new_objc()
MLCActivationDescriptor	outputResultActivation() [@property] outputResultActivation
NSArray<? extends MLCTensor>	peepholeWeights() [@property] peepholeWeights
NSArray<? extends MLCTensorParameter>	peepholeWeightsParameters() [@property] peepholeWeightsParameters
static boolean	resolveClassMethod(org.moe.natj.objc.SEL sel)
static boolean	resolveInstanceMethod(org.moe.natj.objc.SEL sel)
static void	setVersion_static(long aVersion)
static org.moe.natj.objc.Class	superclass_static()
static boolean	supportsDataTypeOnDevice(int dataType, MLCDevice device)
static long	version_static()

Methods inherited from class apple.mlcompute.MLCLayer

deviceType, isDebuggingEnabled, label, layerID, setIsDebuggingEnabled, setLabel

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

MLCLSTMLayer

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

Method Detail

accessInstanceVariablesDirectly

public static boolean accessInstanceVariablesDirectly()

alloc

public static MLCLSTMLayer alloc()

allocWithZone

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

automaticallyNotifiesObserversForKey

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

biases

public NSArray<? extends MLCTensor> biases()

[@property] biases

The array of tensors describing the bias terms for the input, hidden, cell and output gates

biasesParameters

public NSArray<? extends MLCTensorParameter> biasesParameters()

[@property] biasesParameters

The bias tensor parameter used for optimizer update

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()

debugDescription_static

public static java.lang.String debugDescription_static()

description_static

public static java.lang.String description_static()

descriptor

public MLCLSTMDescriptor descriptor()

[@property] descriptor

The LSTM descriptor

gateActivations

public NSArray<? extends MLCActivationDescriptor> gateActivations()

[@property] gateActivations

The array of gate activations for input, hidden, cell and output gates

The default gate activations are: sigmoid, sigmoid, tanh, sigmoid

hash_static

public static long hash_static()

hiddenWeights

public NSArray<? extends MLCTensor> hiddenWeights()

[@property] hiddenWeights

The array of tensors describing the hidden weights for the input, hidden, cell and output gates

hiddenWeightsParameters

public NSArray<? extends MLCTensorParameter> hiddenWeightsParameters()

[@property] hiddenWeightsParameters

The hidden weights tensor parameters used for optimizer update

init

public MLCLSTMLayer init()

Overrides:

init in class MLCLayer

inputWeights

public NSArray<? extends MLCTensor> inputWeights()

[@property] inputWeights

The array of tensors describing the input weights for the input, hidden, cell and output gates

inputWeightsParameters

public NSArray<? extends MLCTensorParameter> inputWeightsParameters()

[@property] inputWeightsParameters

The input weights tensor parameters used for optimizer update

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)

layerWithDescriptorInputWeightsHiddenWeightsBiases

public static MLCLSTMLayer layerWithDescriptorInputWeightsHiddenWeightsBiases(MLCLSTMDescriptor descriptor,
                                                                              NSArray<? extends MLCTensor> inputWeights,
                                                                              NSArray<? extends MLCTensor> hiddenWeights,
                                                                              NSArray<? extends MLCTensor> biases)

Create a LSTM layer

Parameters:

descriptor - The LSTM descriptor

inputWeights - An array of (layerCount * 4) tensors describing the input weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

hiddenWeights - An array of (layerCount * 4) tensors describing the hidden weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

Returns:

A new LSTM layer.

layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiases

public static MLCLSTMLayer layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiases(MLCLSTMDescriptor descriptor,
                                                                                             NSArray<? extends MLCTensor> inputWeights,
                                                                                             NSArray<? extends MLCTensor> hiddenWeights,
                                                                                             NSArray<? extends MLCTensor> peepholeWeights,
                                                                                             NSArray<? extends MLCTensor> biases)

Create a LSTM layer

Parameters:

descriptor - The LSTM descriptor

inputWeights - An array of (layerCount * 4) tensors describing the input weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

hiddenWeights - An array of (layerCount * 4) tensors describing the hidden weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

peepholeWeights - An array of (layerCount * 4) tensors describing the peephole weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

Returns:

A new LSTM layer.

layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiasesGateActivationsOutputResultActivation

public static MLCLSTMLayer layerWithDescriptorInputWeightsHiddenWeightsPeepholeWeightsBiasesGateActivationsOutputResultActivation(MLCLSTMDescriptor descriptor,
                                                                                                                                  NSArray<? extends MLCTensor> inputWeights,
                                                                                                                                  NSArray<? extends MLCTensor> hiddenWeights,
                                                                                                                                  NSArray<? extends MLCTensor> peepholeWeights,
                                                                                                                                  NSArray<? extends MLCTensor> biases,
                                                                                                                                  NSArray<? extends MLCActivationDescriptor> gateActivations,
                                                                                                                                  MLCActivationDescriptor outputResultActivation)

Create a LSTM layer

Parameters:

descriptor - The LSTM descriptor

inputWeights - An array of (layerCount * 4) tensors describing the input weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n. For bidirectional LSTM, the forward time weights for all stacked layers will come first followed by backward time weights

hiddenWeights - An array of (layerCount * 4) tensors describing the hidden weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n. For bidirectional LSTM, the forward time weights for all stacked layers will come first followed by backward time weights

peepholeWeights - An array of (layerCount * 4) tensors describing the peephole weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n.

biases - An array of (layerCount * 4) tensors describing the input weights for the input, hidden, cell and output gates for layer0, layer1.. layer(n-1) for layerCount=n. For bidirectional LSTM, the forward time bias terms for all stacked layers will come first followed by backward time bias terms

gateActivations - An array of 4 neuron descriptors for the input, hidden, cell and output gate activations.

outputResultActivation - The neuron descriptor used for the activation function applied to output result. Default is tanh.

Returns:

A new LSTM layer.

new_objc

public static MLCLSTMLayer new_objc()

outputResultActivation

public MLCActivationDescriptor outputResultActivation()

[@property] outputResultActivation

The output activation descriptor

peepholeWeights

public NSArray<? extends MLCTensor> peepholeWeights()

[@property] peepholeWeights

The array of tensors describing the peephole weights for the input, hidden, cell and output gates

peepholeWeightsParameters

public NSArray<? extends MLCTensorParameter> peepholeWeightsParameters()

[@property] peepholeWeightsParameters

The peephole weights tensor parameters used for optimizer update

resolveClassMethod

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

resolveInstanceMethod

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

setVersion_static

public static void setVersion_static(long aVersion)

superclass_static

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

supportsDataTypeOnDevice

public static boolean supportsDataTypeOnDevice(int dataType,
                                               MLCDevice device)

version_static

public static long version_static()