MPSNNGradientStateNode(3) MetalPerformanceShaders.framework MPSNNGradientStateNode(3)NAME
MPSNNGradientStateNode
SYNOPSIS
#import <MPSNNGraphNodes.h>
Inherits MPSNNStateNode.
Inherited by MPSCNNConvolutionGradientStateNode.
Additional Inherited Members
Detailed Description
During training, each MPSNNFilterNode has a corresponding MPSNNGradientFilterNode for the gradient computation for trainable parameter
update. The two communicate through a MPSNNGradientStateNode or subclass which carries information about the inference pass settings to the
gradient pass. You can avoid managing these -- there will be many! -- by using -[MPSNNFilterNode gradientFilterWithSources:] to make the
MPSNNGradientFilterNodes. That method will append the necessary extra information like MPSNNGradientState nodes and inference filter source
image nodes to the object as needed.
Author
Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.
Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSNNGradientStateNode(3)
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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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