12-20-2019
I'll pass the baton of support to someone else; and since you have a way forward, maybe you can try on your own first?
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LEARN ABOUT MOJAVE
mpscnnconvolutiongradientnode
MPSCNNConvolutionGradientNode(3) MetalPerformanceShaders.framework MPSCNNConvolutionGradientNode(3)
NAME
MPSCNNConvolutionGradientNode
SYNOPSIS
#import <MPSNNGraphNodes.h>
Inherits MPSNNGradientFilterNode, and <MPSNNTrainableNode>.
Instance Methods
(nonnull instancetype) - initWithSourceGradient:sourceImage:convolutionGradientState:weights:
Class Methods
(nonnull instancetype) + nodeWithSourceGradient:sourceImage:convolutionGradientState:weights:
Additional Inherited Members
Method Documentation
- (nonnull instancetype) initWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull)
sourceImage(MPSCNNConvolutionGradientStateNode *__nonnull) gradientState(nullable id< MPSCNNConvolutionDataSource >) weights
A node to represent the gradient calculation for convolution training.
Parameters:
sourceGradient The input gradient from the 'downstream' gradient filter. Often that is a neuron gradient filter node.
sourceImage The input image from the forward convolution node
gradientState The gradient state from the forward convolution
weights The data source from the forward convolution. It may not contain an integrated neuron. Similary, any normalization should be
broken out into a separate node. Pass nil to use the weights from the forward convolution pass.
Returns:
A MPSCNNConvolutionGradientNode
+ (nonnull instancetype) nodeWithSourceGradient: (MPSNNImageNode *__nonnull) sourceGradient(MPSNNImageNode *__nonnull)
sourceImage(MPSCNNConvolutionGradientStateNode *__nonnull) gradientState(nullable id< MPSCNNConvolutionDataSource >) weights
A node to represent the gradient calculation for convolution training.
Parameters:
sourceGradient The input gradient from the 'downstream' gradient filter. Often that is a neuron gradient filter node.
sourceImage The input image from the forward convolution node
gradientState The gradient state from the forward convolution
weights The data source from the forward convolution. It may not contain an integrated neuron. Similary, any normalization should be
broken out into a separate node. Pass nil to use the weights from the forward convolution pass.
Returns:
A MPSCNNConvolutionGradientNode
Author
Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.
Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNConvolutionGradientNode(3)