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

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