Package apple.metalperformanceshaders

Class MPSCNNBatchNormalizationGradient

  • All Implemented Interfaces:
    NSCoding, NSCopying, NSSecureCoding, NSObject
    public class MPSCNNBatchNormalizationGradient
extends MPSCNNGradientKernel
    MPSCNNBatchNormalizationGradient [@dependency] This depends on Metal.framework MPSCNNBatchNormalizationGradient computes the gradients of a loss function resulting from a network containing a corresponding MPSCNNBatchNormalization kernel. Two sets of values are computed: the gradient of the loss function with respect to the batch normalization source images, and the gradient of the loss function with respect to the scale and bias terms used to compute the batch normalization.

    • Constructor Detail

      • MPSCNNBatchNormalizationGradient

        protected MPSCNNBatchNormalizationGradient​(org.moe.natj.general.Pointer peer)

    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()

      • allocWithZone

        public static java.lang.Object 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)

      • 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()

      • encodeToCommandBufferSourceGradientSourceImageBatchNormalizationState

        public MPSImage encodeToCommandBufferSourceGradientSourceImageBatchNormalizationState​(MTLCommandBuffer commandBuffer,
                                                                                      MPSImage sourceGradient,
                                                                                      MPSImage sourceImage,
                                                                                      MPSCNNBatchNormalizationState batchNormalizationState)
        Encode this operation to a command buffer. Create an MPSImage to contain the result and return it. See encodeToCommandBuffer:sourceImage:sourceGradient:sourceImage:batchNormalizationState:destinationGradient for further details.

      • encodeToCommandBufferSourceGradientSourceImageBatchNormalizationStateDestinationGradient

        public void encodeToCommandBufferSourceGradientSourceImageBatchNormalizationStateDestinationGradient​(MTLCommandBuffer commandBuffer,
                                                                                                     MPSImage sourceGradient,
                                                                                                     MPSImage sourceImage,
                                                                                                     MPSCNNBatchNormalizationState batchNormalizationState,
                                                                                                     MPSImage destinationGradient)
        Encode this operation to a command buffer for a single image.
        Parameters:
        commandBuffer - The command buffer.
        sourceGradient - An MPSImage containing the gradient of the loss function with respect to the results of batch normalization on the source image.
        sourceImage - An MPSImage containing the source image for batch normalization.
        batchNormalizationState - A valid MPSCNNBatchNormalizationState object which has been previously updated using a MPSCNNBatchNormalizationStatisticsGradient kernel and the source images. If the state is temporary its read count will be decremented.
        destinationGradient - An MPSImage which contains the gradient of the loss function with respect to the source image.

      • hash_static

        public static long hash_static()

      • initWithCoderDevice

        public MPSCNNBatchNormalizationGradient initWithCoderDevice​(NSCoder aDecoder,
                                                            java.lang.Object device)
        NSSecureCoding compatability While the standard NSSecureCoding/NSCoding method -initWithCoder: should work, since the file can't know which device your data is allocated on, we have to guess and may guess incorrectly. To avoid that problem, use a subclass of NSCoder that implements the protocol to tell MPS the MTLDevice to use.
        Overrides:
        initWithCoderDevice in class MPSCNNGradientKernel
        Parameters:
        aDecoder - The NSCoder subclass with your serialized MPSKernel
        device - The MTLDevice on which to make the MPSKernel
        Returns:
        A new MPSCNNBatchNormalizationGradient object, or nil if failure.

      • initWithDevice

        public MPSCNNBatchNormalizationGradient initWithDevice​(java.lang.Object device)
        Description copied from class: MPSCNNGradientKernel
        Standard init with default properties per filter type
        Overrides:
        initWithDevice in class MPSCNNGradientKernel
        Parameters:
        device - The device that the filter will be used on. May not be NULL.
        Returns:
        A pointer to the newly initialized object. This will fail, returning nil if the device is not supported. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later.

      • initWithDeviceFusedNeuronDescriptor

        public MPSCNNBatchNormalizationGradient initWithDeviceFusedNeuronDescriptor​(MTLDevice device,
                                                                            MPSNNNeuronDescriptor fusedNeuronDescriptor)
        Initializes a batch normalization gradient kernel using a device and neuron descriptor.
        Parameters:
        device - The MTLDevice on which this filter will be used
        fusedNeuronDescriptor - A MPSNNNeuronDescriptor object which specifies a neuron activation function whose gradient should be applied prior to computing the resulting gradient. This neuron descriptor should match that used in the corresponding forward batch normalization kernel as well as the preceeding batch normalization statistics gradient kernel.
        Returns:
        A valid MPSCNNBatchNormalizationGradient object or nil, if failure.

      • 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)

      • new_objc

        public static java.lang.Object new_objc()

      • 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()

      • supportsSecureCoding

        public static boolean supportsSecureCoding()

      • _supportsSecureCoding

        public boolean _supportsSecureCoding()
        Description copied from interface: NSSecureCoding
        This property must return YES on all classes that allow secure coding. Subclasses of classes that adopt NSSecureCoding and override initWithCoder: must also override this method and return YES. The Secure Coding Guide should be consulted when writing methods that decode data.
        Specified by:
        _supportsSecureCoding in interface NSSecureCoding
        Overrides:
        _supportsSecureCoding in class MPSCNNGradientKernel

      • version_static

        public static long version_static()