MPSLSTMDescriptor (moe.platform.ios API)

java.lang.Object
- org.moe.natj.general.NativeObject
- - org.moe.natj.objc.ObjCObject
  - - apple.NSObject
    - - apple.metalperformanceshaders.MPSRNNDescriptor
      - apple.metalperformanceshaders.MPSLSTMDescriptor

All Implemented Interfaces:

NSObject
```
public class MPSLSTMDescriptor
extends MPSRNNDescriptor
```
MPSLSTMDescriptor [@dependency] This depends on Metal.framework
The MPSLSTMDescriptor specifies a LSTM block/layer descriptor. The RNN layer initialized with a MPSLSTMDescriptor transforms the input data (image or matrix), the memory cell data and previous output with a set of filters, each producing one feature map in the output data and memory cell, according to the LSTM formulae detailed below. The user may provide the LSTM unit a single input or a sequence of inputs.
Description of operation:
Let x_j be the input data (at time index t of sequence, j index containing quadruplet: batch index, x,y and feature index (x=y=0 for matrices)). Let h0_j be the recurrent input (previous output) data from previous time step (at time index t-1 of sequence). Let h1_i be the output data produced at this time step. Let c0_j be the previous memory cell data (at time index t-1 of sequence). Let c1_i be the new memory cell data (at time index t-1 of sequence).
Let Wi_ij, Ui_ij, Vi_ij, be the input gate weights for input, recurrent input and memory cell (peephole) data respectively Let bi_i be the bias for the input gate
Let Wf_ij, Uf_ij, Vf_ij, be the forget gate weights for input, recurrent input and memory cell data respectively Let bf_i be the bias for the forget gate
Let Wo_ij, Uo_ij, Vo_ij, be the output gate weights for input, recurrent input and memory cell data respectively Let bo_i be the bias for the output gate
Let Wc_ij, Uc_ij, Vc_ij, be the memory cell gate weights for input, recurrent input and memory cell data respectively Let bc_i be the bias for the memory cell gate
Let gi(x), gf(x), go(x), gc(x) be neuron activation function for the input, forget, output gate and memory cell gate Let gh(x) be the activation function applied to result memory cell data
Then the new memory cell data c1_j and output image h1_i are computed as follows:
I_i = gi( Wi_ij * x_j + Ui_ij * h0_j + Vi_ij * c0_j + bi_i ) F_i = gf( Wf_ij * x_j + Uf_ij * h0_j + Vf_ij * c0_j + bf_i ) C_i = gc( Wc_ij * x_j + Uc_ij * h0_j + Vc_ij * c0_j + bc_i )
c1_i = F_i c0_i + I_i C_i
O_i = go( Wo_ij * x_j + Uo_ij * h0_j + Vo_ij * c1_j + bo_i )
h1_i = O_i gh( c1_i )
The '*' stands for convolution (see @ref MPSRNNImageInferenceLayer) or matrix-vector/matrix multiplication (see @ref MPSRNNMatrixInferenceLayer). Summation is over index j (except for the batch index), but there is no summation over repeated index i - the output index. Note that for validity all intermediate images have to be of same size and all U and V matrices have to be square (ie. outputFeatureChannels == inputFeatureChannels in those). Also the bias terms are scalars wrt. spatial dimensions.

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

Constructors
Modifier	Constructor and Description
`protected`	`MPSLSTMDescriptor(org.moe.natj.general.Pointer peer)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static boolean`	`accessInstanceVariablesDirectly()`
`static MPSLSTMDescriptor`	`alloc()`
`static MPSLSTMDescriptor`	`allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)`
`static boolean`	`automaticallyNotifiesObserversForKey(java.lang.String key)`
`static void`	`cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)`
`static void`	`cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget, org.moe.natj.objc.SEL aSelector, java.lang.Object anArgument)`
`MPSCNNConvolutionDataSource`	`cellGateInputWeights()` [@property] cellGateInputWeights
`MPSCNNConvolutionDataSource`	`cellGateMemoryWeights()` [@property] cellGateMemoryWeights
`MPSCNNConvolutionDataSource`	`cellGateRecurrentWeights()` [@property] cellGateRecurrentWeights
`float`	`cellToOutputNeuronParamA()` [@property] cellToOutputNeuronParamA
`float`	`cellToOutputNeuronParamB()` [@property] cellToOutputNeuronParamB
`float`	`cellToOutputNeuronParamC()` [@property] cellToOutputNeuronParamC
`int`	`cellToOutputNeuronType()` [@property] cellToOutputNeuronType
`static NSArray<java.lang.String>`	`classFallbacksForKeyedArchiver()`
`static org.moe.natj.objc.Class`	`classForKeyedUnarchiver()`
`static MPSLSTMDescriptor`	`createLSTMDescriptorWithInputFeatureChannelsOutputFeatureChannels(long inputFeatureChannels, long outputFeatureChannels)` Creates a LSTM descriptor.
`static java.lang.String`	`debugDescription_static()`
`static java.lang.String`	`description_static()`
`MPSCNNConvolutionDataSource`	`forgetGateInputWeights()` [@property] forgetGateInputWeights
`MPSCNNConvolutionDataSource`	`forgetGateMemoryWeights()` [@property] forgetGateMemoryWeights
`MPSCNNConvolutionDataSource`	`forgetGateRecurrentWeights()` [@property] forgetGateRecurrentWeights
`static long`	`hash_static()`
`MPSLSTMDescriptor`	`init()`
`MPSCNNConvolutionDataSource`	`inputGateInputWeights()` [@property] inputGateInputWeights
`MPSCNNConvolutionDataSource`	`inputGateMemoryWeights()` [@property] inputGateMemoryWeights
`MPSCNNConvolutionDataSource`	`inputGateRecurrentWeights()` [@property] inputGateRecurrentWeights
`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)`
`boolean`	`memoryWeightsAreDiagonal()` [@property] memoryWeightsAreDiagonal
`static MPSLSTMDescriptor`	`new_objc()`
`MPSCNNConvolutionDataSource`	`outputGateInputWeights()` [@property] outputGateInputWeights
`MPSCNNConvolutionDataSource`	`outputGateMemoryWeights()` [@property] outputGateMemoryWeights
`MPSCNNConvolutionDataSource`	`outputGateRecurrentWeights()` [@property] outputGateRecurrentWeights
`static boolean`	`resolveClassMethod(org.moe.natj.objc.SEL sel)`
`static boolean`	`resolveInstanceMethod(org.moe.natj.objc.SEL sel)`
`void`	`setCellGateInputWeights(MPSCNNConvolutionDataSource value)` [@property] cellGateInputWeights
`void`	`setCellGateMemoryWeights(MPSCNNConvolutionDataSource value)` [@property] cellGateMemoryWeights
`void`	`setCellGateRecurrentWeights(MPSCNNConvolutionDataSource value)` [@property] cellGateRecurrentWeights
`void`	`setCellToOutputNeuronParamA(float value)` [@property] cellToOutputNeuronParamA
`void`	`setCellToOutputNeuronParamB(float value)` [@property] cellToOutputNeuronParamB
`void`	`setCellToOutputNeuronParamC(float value)` [@property] cellToOutputNeuronParamC
`void`	`setCellToOutputNeuronType(int value)` [@property] cellToOutputNeuronType
`void`	`setForgetGateInputWeights(MPSCNNConvolutionDataSource value)` [@property] forgetGateInputWeights
`void`	`setForgetGateMemoryWeights(MPSCNNConvolutionDataSource value)` [@property] forgetGateMemoryWeights
`void`	`setForgetGateRecurrentWeights(MPSCNNConvolutionDataSource value)` [@property] forgetGateRecurrentWeights
`void`	`setInputGateInputWeights(MPSCNNConvolutionDataSource value)` [@property] inputGateInputWeights
`void`	`setInputGateMemoryWeights(MPSCNNConvolutionDataSource value)` [@property] inputGateMemoryWeights
`void`	`setInputGateRecurrentWeights(MPSCNNConvolutionDataSource value)` [@property] inputGateRecurrentWeights
`void`	`setMemoryWeightsAreDiagonal(boolean value)` [@property] memoryWeightsAreDiagonal
`void`	`setOutputGateInputWeights(MPSCNNConvolutionDataSource value)` [@property] outputGateInputWeights
`void`	`setOutputGateMemoryWeights(MPSCNNConvolutionDataSource value)` [@property] outputGateMemoryWeights
`void`	`setOutputGateRecurrentWeights(MPSCNNConvolutionDataSource value)` [@property] outputGateRecurrentWeights
`static void`	`setVersion_static(long aVersion)`
`static org.moe.natj.objc.Class`	`superclass_static()`
`static long`	`version_static()`

Methods inherited from class apple.metalperformanceshaders.MPSRNNDescriptor
inputFeatureChannels, layerSequenceDirection, outputFeatureChannels, setInputFeatureChannels, setLayerSequenceDirection, setOutputFeatureChannels, setUseFloat32Weights, setUseLayerInputUnitTransformMode, useFloat32Weights, useLayerInputUnitTransformMode

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
  - MPSLSTMDescriptor
```
protected MPSLSTMDescriptor(org.moe.natj.general.Pointer peer)
```
- Method Detail
  - accessInstanceVariablesDirectly
```
public static boolean accessInstanceVariablesDirectly()
```
  - alloc
```
public static MPSLSTMDescriptor alloc()
```
  - allocWithZone
```
public static MPSLSTMDescriptor allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
```
  - automaticallyNotifiesObserversForKey
```
public static boolean automaticallyNotifiesObserversForKey(java.lang.String key)
```
  - 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)
```
  - cellGateInputWeights
```
public MPSCNNConvolutionDataSource cellGateInputWeights()
```
    [@property] cellGateInputWeights
    Contains weights 'Wc_ij', bias 'bc_i' and neuron 'gc' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - cellGateMemoryWeights
```
public MPSCNNConvolutionDataSource cellGateMemoryWeights()
```
    [@property] cellGateMemoryWeights
    Contains weights 'Vc_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - cellGateRecurrentWeights
```
public MPSCNNConvolutionDataSource cellGateRecurrentWeights()
```
    [@property] cellGateRecurrentWeights
    Contains weights 'Uc_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - cellToOutputNeuronParamA
```
public float cellToOutputNeuronParamA()
```
    [@property] cellToOutputNeuronParamA
    Neuron parameter A for 'gh'. Defaults to 1.0f.
  - cellToOutputNeuronParamB
```
public float cellToOutputNeuronParamB()
```
    [@property] cellToOutputNeuronParamB
    Neuron parameter B for 'gh'. Defaults to 1.0f.
  - cellToOutputNeuronType
```
public int cellToOutputNeuronType()
```
    [@property] cellToOutputNeuronType
    Neuron type definition for 'gh', see @ref MPSCNNNeuronType. Defaults to MPSCNNNeuronTypeTanH.
  - classFallbacksForKeyedArchiver
```
public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()
```
  - classForKeyedUnarchiver
```
public static org.moe.natj.objc.Class classForKeyedUnarchiver()
```
  - createLSTMDescriptorWithInputFeatureChannelsOutputFeatureChannels
```
public static MPSLSTMDescriptor createLSTMDescriptorWithInputFeatureChannelsOutputFeatureChannels(long inputFeatureChannels,
                                                                                                  long outputFeatureChannels)
```
    Creates a LSTM descriptor.
    
    Parameters:
    
    inputFeatureChannels - The number of feature channels in the input image/matrix. Must be >= 1.
    
    outputFeatureChannels - The number of feature channels in the output image/matrix. Must be >= 1.
    
    Returns:
    
    A valid MPSNNLSTMDescriptor object or nil, if failure.
  - debugDescription_static
```
public static java.lang.String debugDescription_static()
```
  - description_static
```
public static java.lang.String description_static()
```
  - forgetGateInputWeights
```
public MPSCNNConvolutionDataSource forgetGateInputWeights()
```
    [@property] forgetGateInputWeights
    Contains weights 'Wf_ij', bias 'bf_i' and neuron 'gf' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping).Defaults to nil.
  - forgetGateMemoryWeights
```
public MPSCNNConvolutionDataSource forgetGateMemoryWeights()
```
    [@property] forgetGateMemoryWeights
    Contains weights 'Vf_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - forgetGateRecurrentWeights
```
public MPSCNNConvolutionDataSource forgetGateRecurrentWeights()
```
    [@property] forgetGateRecurrentWeights
    Contains weights 'Uf_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - hash_static
```
public static long hash_static()
```
  - init
```
public MPSLSTMDescriptor init()
```
    Overrides:
    
    init in class MPSRNNDescriptor
  - inputGateInputWeights
```
public MPSCNNConvolutionDataSource inputGateInputWeights()
```
    [@property] inputGateInputWeights
    Contains weights 'Wi_ij', bias 'bi_i' and neuron 'gi' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - inputGateMemoryWeights
```
public MPSCNNConvolutionDataSource inputGateMemoryWeights()
```
    [@property] inputGateMemoryWeights
    Contains weights 'Vi_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - inputGateRecurrentWeights
```
public MPSCNNConvolutionDataSource inputGateRecurrentWeights()
```
    [@property] inputGateRecurrentWeights
    Contains weights 'Ui_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - 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)
```
  - memoryWeightsAreDiagonal
```
public boolean memoryWeightsAreDiagonal()
```
    [@property] memoryWeightsAreDiagonal
    If YES, then the 'peephole' weight matrices will be diagonal matrices represented as vectors of length the number of features in memory cells, that will be multiplied pointwise with the peephole matrix or image in order to achieve the diagonal (nonmixing) update. Defaults to NO.
  - new_objc
```
public static MPSLSTMDescriptor new_objc()
```
  - outputGateInputWeights
```
public MPSCNNConvolutionDataSource outputGateInputWeights()
```
    [@property] outputGateInputWeights
    Contains weights 'Wo_ij', bias 'bo_i' and neuron 'go' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - outputGateMemoryWeights
```
public MPSCNNConvolutionDataSource outputGateMemoryWeights()
```
    [@property] outputGateMemoryWeights
    Contains weights 'Vo_ij' - the 'peephole' weights - from the LSTM. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - outputGateRecurrentWeights
```
public MPSCNNConvolutionDataSource outputGateRecurrentWeights()
```
    [@property] outputGateRecurrentWeights
    Contains weights 'Uo_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - resolveClassMethod
```
public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)
```
  - resolveInstanceMethod
```
public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)
```
  - setCellGateInputWeights
```
public void setCellGateInputWeights(MPSCNNConvolutionDataSource value)
```
    [@property] cellGateInputWeights
    Contains weights 'Wc_ij', bias 'bc_i' and neuron 'gc' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - setCellGateMemoryWeights
```
public void setCellGateMemoryWeights(MPSCNNConvolutionDataSource value)
```
    [@property] cellGateMemoryWeights
    Contains weights 'Vc_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - setCellGateRecurrentWeights
```
public void setCellGateRecurrentWeights(MPSCNNConvolutionDataSource value)
```
    [@property] cellGateRecurrentWeights
    Contains weights 'Uc_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - setCellToOutputNeuronParamA
```
public void setCellToOutputNeuronParamA(float value)
```
    [@property] cellToOutputNeuronParamA
    Neuron parameter A for 'gh'. Defaults to 1.0f.
  - setCellToOutputNeuronParamB
```
public void setCellToOutputNeuronParamB(float value)
```
    [@property] cellToOutputNeuronParamB
    Neuron parameter B for 'gh'. Defaults to 1.0f.
  - setCellToOutputNeuronType
```
public void setCellToOutputNeuronType(int value)
```
    [@property] cellToOutputNeuronType
    Neuron type definition for 'gh', see @ref MPSCNNNeuronType. Defaults to MPSCNNNeuronTypeTanH.
  - setForgetGateInputWeights
```
public void setForgetGateInputWeights(MPSCNNConvolutionDataSource value)
```
    [@property] forgetGateInputWeights
    Contains weights 'Wf_ij', bias 'bf_i' and neuron 'gf' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping).Defaults to nil.
  - setForgetGateMemoryWeights
```
public void setForgetGateMemoryWeights(MPSCNNConvolutionDataSource value)
```
    [@property] forgetGateMemoryWeights
    Contains weights 'Vf_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - setForgetGateRecurrentWeights
```
public void setForgetGateRecurrentWeights(MPSCNNConvolutionDataSource value)
```
    [@property] forgetGateRecurrentWeights
    Contains weights 'Uf_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - setInputGateInputWeights
```
public void setInputGateInputWeights(MPSCNNConvolutionDataSource value)
```
    [@property] inputGateInputWeights
    Contains weights 'Wi_ij', bias 'bi_i' and neuron 'gi' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - setInputGateMemoryWeights
```
public void setInputGateMemoryWeights(MPSCNNConvolutionDataSource value)
```
    [@property] inputGateMemoryWeights
    Contains weights 'Vi_ij' - the 'peephole' weights - from the LSTM formula. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - setInputGateRecurrentWeights
```
public void setInputGateRecurrentWeights(MPSCNNConvolutionDataSource value)
```
    [@property] inputGateRecurrentWeights
    Contains weights 'Ui_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - setMemoryWeightsAreDiagonal
```
public void setMemoryWeightsAreDiagonal(boolean value)
```
    [@property] memoryWeightsAreDiagonal
    If YES, then the 'peephole' weight matrices will be diagonal matrices represented as vectors of length the number of features in memory cells, that will be multiplied pointwise with the peephole matrix or image in order to achieve the diagonal (nonmixing) update. Defaults to NO.
  - setOutputGateInputWeights
```
public void setOutputGateInputWeights(MPSCNNConvolutionDataSource value)
```
    [@property] outputGateInputWeights
    Contains weights 'Wo_ij', bias 'bo_i' and neuron 'go' from the LSTM formula. If nil then assumed zero weights, bias and no neuron (identity mapping). Defaults to nil.
  - setOutputGateMemoryWeights
```
public void setOutputGateMemoryWeights(MPSCNNConvolutionDataSource value)
```
    [@property] outputGateMemoryWeights
    Contains weights 'Vo_ij' - the 'peephole' weights - from the LSTM. if YES == memoryWeightsAreDiagonal, then the number of weights used is the number of features in the memory cell image/matrix. If nil then assumed zero weights. Defaults to nil.
  - setOutputGateRecurrentWeights
```
public void setOutputGateRecurrentWeights(MPSCNNConvolutionDataSource value)
```
    [@property] outputGateRecurrentWeights
    Contains weights 'Uo_ij' from the LSTM formula. If nil then assumed zero weights. Defaults to nil.
  - setVersion_static
```
public static void setVersion_static(long aVersion)
```
  - superclass_static
```
public static org.moe.natj.objc.Class superclass_static()
```
  - version_static
```
public static long version_static()
```
  - cellToOutputNeuronParamC
```
public float cellToOutputNeuronParamC()
```
    [@property] cellToOutputNeuronParamC
    Neuron parameter C for 'gh'. Defaults to 1.0f.
  - setCellToOutputNeuronParamC
```
public void setCellToOutputNeuronParamC(float value)
```
    [@property] cellToOutputNeuronParamC
    Neuron parameter C for 'gh'. Defaults to 1.0f.

Class MPSLSTMDescriptor

Nested Class Summary

Nested classes/interfaces inherited from class apple.NSObject

Constructor Summary

Method Summary

Methods inherited from class apple.metalperformanceshaders.MPSRNNDescriptor

Methods inherited from class apple.NSObject

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

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

Methods inherited from class java.lang.Object

Constructor Detail

MPSLSTMDescriptor

Method Detail

accessInstanceVariablesDirectly

alloc

allocWithZone

automaticallyNotifiesObserversForKey

cancelPreviousPerformRequestsWithTarget

cancelPreviousPerformRequestsWithTargetSelectorObject

cellGateInputWeights

cellGateMemoryWeights

cellGateRecurrentWeights

cellToOutputNeuronParamA

cellToOutputNeuronParamB

cellToOutputNeuronType

classFallbacksForKeyedArchiver

classForKeyedUnarchiver

createLSTMDescriptorWithInputFeatureChannelsOutputFeatureChannels

debugDescription_static

description_static

forgetGateInputWeights

forgetGateMemoryWeights

forgetGateRecurrentWeights

hash_static

init

inputGateInputWeights

inputGateMemoryWeights

inputGateRecurrentWeights

instanceMethodForSelector

instanceMethodSignatureForSelector

instancesRespondToSelector

isSubclassOfClass

keyPathsForValuesAffectingValueForKey

memoryWeightsAreDiagonal

new_objc

outputGateInputWeights

outputGateMemoryWeights

outputGateRecurrentWeights

resolveClassMethod

resolveInstanceMethod

setCellGateInputWeights

setCellGateMemoryWeights

setCellGateRecurrentWeights

setCellToOutputNeuronParamA

setCellToOutputNeuronParamB

setCellToOutputNeuronType

setForgetGateInputWeights

setForgetGateMemoryWeights

setForgetGateRecurrentWeights

setInputGateInputWeights

setInputGateMemoryWeights

setInputGateRecurrentWeights

setMemoryWeightsAreDiagonal

setOutputGateInputWeights

setOutputGateMemoryWeights

setOutputGateRecurrentWeights

setVersion_static

superclass_static

version_static

cellToOutputNeuronParamC

setCellToOutputNeuronParamC