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mpscnnlossdescriptor

MPSCNNLossDescriptor(3) 				 MetalPerformanceShaders.framework				   MPSCNNLossDescriptor(3)

NAME

       MPSCNNLossDescriptor

SYNOPSIS

       #import <MPSCNNLoss.h>

       Inherits NSObject, and <NSCopying>.

   Instance Methods
       (nonnull instancetype) - init

   Class Methods
       (nullable MPSCNNLossDescriptor *) + cnnLossDescriptorWithType:reductionType:

   Properties
       MPSCNNLossType lossType
       MPSCNNReductionType reductionType
       float weight
       float labelSmoothing
       NSUInteger numberOfClasses
       float epsilon
       float delta

Detailed Description
       This depends on Metal.framework.  The MPSCNNLossDescriptor specifies a loss filter descriptor. The same descriptor can be used to
       initialize both the MPSCNNLoss and the MPSCNNLossGradient filters.

Method Documentation
   + (nullable MPSCNNLossDescriptor*) cnnLossDescriptorWithType: (MPSCNNLossType) lossType(MPSCNNReductionType) reductionType
       Make a descriptor for a MPSCNNLoss or MPSCNNLossGradient object.

       Parameters:
	   lossType The type of a loss filter.
	   reductionType The type of a reduction operation to apply. This argument is ignored in the MPSCNNLossGradient filter.

       Returns:
	   A valid MPSCNNLossDescriptor object or nil, if failure.

   - (nonnull instancetype) init
Property Documentation
   - delta [read],  [write],  [nonatomic],  [assign]
       The delta parameter. The default value is 1.0f.	This parameter is valid only for the loss functions of the following type(s):
       MPSCNNLossTypeHuber.

       Given predictions and labels (ground truth), it is applied in the following way: if (|predictions - labels| <= delta, loss = 0.5f *
       predictions^2 if (|predictions - labels| > delta, loss = 0.5 * delta^2 + delta * (|predictions - labels| - delta)

   - epsilon [read],  [write],	[nonatomic],  [assign]
       The epsilon parameter. The default value is 1e-7.  This parameter is valid only for the loss functions of the following type(s):
       MPSCNNLossTypeLog.

       Given predictions and labels (ground truth), it is applied in the following way: -(labels * log(predictions + epsilon)) - ((1 - labels) *
       log(1 - predictions + epsilon))

   - labelSmoothing [read],  [write],  [nonatomic],  [assign]
       The label smoothing parameter. The default value is 0.0f.  This parameter is valid only for the loss functions of the following type(s):
       MPSCNNLossFunctionTypeSoftmaxCrossEntropy, MPSCNNLossFunctionTypeSigmoidCrossEntropy.

       MPSCNNLossFunctionTypeSoftmaxCrossEntropy: given labels (ground truth), it is applied in the following way: labels = labelSmoothing > 0 ?
       labels * (1 - labelSmoothing) + labelSmoothing / numberOfClasses : labels

       MPSCNNLossFunctionTypeSigmoidCrossEntropy: given labels (ground truth), it is applied in the following way: labels = labelSmoothing > 0 ?
       labels * (1 - labelSmoothing) + 0.5 * labelSmoothing : labels

   - lossType [read],  [write],  [nonatomic],  [assign]
       The type of a loss filter.  This parameter specifies the type of a loss filter.

   - numberOfClasses [read],  [write],	[nonatomic],  [assign]
       The number of classes parameter. The default value is 1.  This parameter is valid only for the loss functions of the following type(s):
       MPSCNNLossFunctionTypeSoftmaxCrossEntropy.

       Given labels (ground truth), it is applied in the following way: labels = labelSmoothing > 0 ? labels * (1 - labelSmoothing) +
       labelSmoothing / numberOfClasses : labels

   - reductionType [read],  [write],  [nonatomic],  [assign]
       The type of a reduction operation performed in the loss filter.	This parameter specifies the type of a reduction operation performed in
       the loss filter.

   - weight [read],  [write],  [nonatomic],  [assign]
       The scale factor to apply to each element of a result.  Each element of a result is multiplied by the weight value. The default value is
       1.0f.

Author
       Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.

Version MetalPerformanceShaders-100				  Thu Feb 8 2018					   MPSCNNLossDescriptor(3)