Class MPSCNNConvolutionNode

    • Constructor Detail

      • MPSCNNConvolutionNode

        protected MPSCNNConvolutionNode​(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()
      • hash_static

        public static long hash_static()
      • initWithSourceWeights

        public MPSCNNConvolutionNode initWithSourceWeights​(MPSNNImageNode sourceNode,
                                                           MPSCNNConvolutionDataSource weights)
        Init a node representing a MPSCNNConvolution kernel
        Parameters:
        sourceNode - The MPSNNImageNode representing the source MPSImage for the filter
        weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases. If it is used for training, it may not have a neuron embedded in the convolution descriptor.
        Returns:
        A new MPSNNFilter node for a MPSCNNConvolution kernel.
      • 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()
      • nodeWithSourceWeights

        public static MPSCNNConvolutionNode nodeWithSourceWeights​(MPSNNImageNode sourceNode,
                                                                  MPSCNNConvolutionDataSource weights)
        Init an autoreleased not representing a MPSCNNConvolution kernel
        Parameters:
        sourceNode - The MPSNNImageNode representing the source MPSImage for the filter
        weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases. If it is used for training, it may not have a neuron embedded in the convolution descriptor.
        Returns:
        A new MPSNNFilter node for a MPSCNNConvolution kernel.
      • 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()
      • version_static

        public static long version_static()
      • accumulatorPrecision

        public long accumulatorPrecision()
        Set the floating-point precision used by the convolution accumulator Default: MPSNNConvolutionAccumulatorPrecisionOptionFloat
      • convolutionGradientState

        public MPSCNNConvolutionGradientStateNode convolutionGradientState()
        A node to represent a MPSCNNConvolutionGradientState object Use this if the convolution is mirrored by a convolution transpose node later on in the graph to make sure that the size of the image returned from the convolution transpose matches the size of the image passed in to this node.
      • setAccumulatorPrecision

        public void setAccumulatorPrecision​(long value)
        Set the floating-point precision used by the convolution accumulator Default: MPSNNConvolutionAccumulatorPrecisionOptionFloat
      • setTrainingStyle

        public void setTrainingStyle​(long value)
        Description copied from interface: MPSNNTrainableNode
        Configure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPU
        Specified by:
        setTrainingStyle in interface MPSNNTrainableNode
      • trainingStyle

        public long trainingStyle()
        Description copied from interface: MPSNNTrainableNode
        Configure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPU
        Specified by:
        trainingStyle in interface MPSNNTrainableNode