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mpscnnlossnode(3) [mojave man page]

MPSCNNLossNode(3)					 MetalPerformanceShaders.framework					 MPSCNNLossNode(3)

NAME
MPSCNNLossNode SYNOPSIS
#import <MPSNNGraphNodes.h> Inherits MPSNNFilterNode. Instance Methods (nonnull instancetype) - initWithSource:lossDescriptor: (MPSNNGradientFilterNode *__nonnull) - gradientFilterWithSources: Class Methods (nonnull instancetype) + nodeWithSource:lossDescriptor: Properties MPSNNLabelsNode * inputLabels Detailed Description This node calculates loss information during training typically immediately after the inference portion of network evaluation is performed. The result image of the loss operations is typically the first gradient image to be comsumed by the gradient passes that work their way back up the graph. In addition, the node will update the loss image in the MPSNNLabels with the desired estimate of correctness. Method Documentation - (MPSNNGradientFilterNode*__nonnull) gradientFilterWithSources: (NSArray< MPSNNImageNode * > *__nonnull) gradientImages The loss filter is its own gradient filter and doesn't provide a corresponding gradient node. The image returned by the loss filter is the gradient image to be consumed by the gradient filters corresponding to preceeding inference nodes. Reimplemented from MPSNNFilterNode. - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) source(MPSCNNLossDescriptor *__nonnull) descriptor + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) source(MPSCNNLossDescriptor *__nonnull) descriptor Property Documentation - (MPSNNLabelsNode*) inputLabels [read], [nonatomic], [retain] Get the input node for labes and weights, for example to set the handle Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNLossNode(3)

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MPSCNNNeuronExponentialNode(3)				 MetalPerformanceShaders.framework			    MPSCNNNeuronExponentialNode(3)

NAME
MPSCNNNeuronExponentialNode SYNOPSIS
#import <MPSNNGraphNodes.h> Inherits MPSCNNNeuronNode. Instance Methods (nonnull instancetype) - initWithSource:a:b:c: (nonnull instancetype) - initWithSource: Class Methods (nonnull instancetype) + nodeWithSource:a:b:c: (nonnull instancetype) + nodeWithSource: Additional Inherited Members Detailed Description A node representing a MPSCNNNeuronExponential kernel For each pixel, applies the following function: f(x) = c ^ (a * x + b) Method Documentation - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) sourceNode Init a node with default values for parameters a, b, and c - (nonnull instancetype) initWithSource: (MPSNNImageNode *__nonnull) sourceNode(float) a(float) b(float) c Init a node representing a MPSCNNNeuronExponential kernel For each pixel, applies the following function: f(x) = c ^ (a * x + b) Parameters: sourceNode The MPSNNImageNode representing the source MPSImage for the filter a See discussion above. b See discussion above. c See discussion above. Returns: A new MPSNNFilter node for a MPSCNNNeuronExponential kernel. + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) sourceNode Create an autoreleased node with default values for parameters a, b, and c + (nonnull instancetype) nodeWithSource: (MPSNNImageNode *__nonnull) sourceNode(float) a(float) b(float) c Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNNeuronExponentialNode(3)
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