MPSRNNDescriptor(3)					 MetalPerformanceShaders.framework				       MPSRNNDescriptor(3)

NAME

       MPSRNNDescriptor

SYNOPSIS

       #import <MPSRNNLayer.h>

       Inherits NSObject.

       Inherited by MPSGRUDescriptor, MPSLSTMDescriptor, and MPSRNNSingleGateDescriptor.

   Properties
       NSUInteger inputFeatureChannels
       NSUInteger outputFeatureChannels
       BOOL useLayerInputUnitTransformMode
       BOOL useFloat32Weights
       MPSRNNSequenceDirection layerSequenceDirection

Detailed Description
       This depends on Metal.framework	The MPSRNNDescriptor specifies a Recursive neural network block/layer descriptor.

Property Documentation
   - inputFeatureChannels [read],  [write],  [nonatomic],  [assign]
       The number of feature channels per pixel in the input image or number of rows in the input matrix.

   - layerSequenceDirection [read],  [write],  [nonatomic],  [assign]
       When the layer specified with this descriptor is used to process a sequence of inputs by calling

       See also:
	   encodeBidirectionalSequenceToCommandBuffer then this parameter defines in which direction the sequence is processed. The operation of
	   the layer is: (yt, ht, ct) = f(xt,ht-1,ct-1) for MPSRNNSequenceDirectionForward and (yt, ht, ct) = f(xt,ht+1,ct+1) for
	   MPSRNNSequenceDirectionBackward, where xt is the output of the previous layer that encodes in the same direction as this layer, (or the
	   input image or matrix if this is the first layer in stack with this direction).

	   MPSRNNImageInferenceLayer and

	   MPSRNNMatrixInferenceLayer.

   - outputFeatureChannels [read],  [write],  [nonatomic],  [assign]
       The number of feature channels per pixel in the destination image or number of rows in the destination matrix.

   - useFloat32Weights [read],	[write],  [nonatomic],	[assign]
       If YES, then MPSRNNMatrixInferenceLayer uses 32-bit floating point numbers internally for weights when computing matrix transformations. If
       NO, then 16-bit, half precision floating point numbers are used. Currently MPSRNNImageInferenceLayer ignores this property and the
       convolution operations always convert FP32 weights into FP16 for better performance. Defaults to NO.

   - useLayerInputUnitTransformMode [read],  [write],  [nonatomic],  [assign]
       if YES then use identity transformation for all weights (W, Wr, Wi, Wf, Wo, Wc) affecting input x_j in this layer, even if said weights are
       specified as nil. For example 'W_ij * x_j' is replaced by 'x_j' in formulae defined in MPSRNNSingleGateDescriptor. Defaults to NO.

Author
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Version MetalPerformanceShaders-100				  Thu Feb 8 2018					       MPSRNNDescriptor(3)