.TH "MPSCNNNeuronPReLU" 3 "Mon Jul 9 2018" "Version MetalPerformanceShaders-119.3" "MetalPerformanceShaders.framework" \" -*- nroff -*-
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.SH NAME
MPSCNNNeuronPReLU
.SH SYNOPSIS
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.PP
.PP
\fC#import <MPSCNNNeuron\&.h>\fP
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Inherits \fBMPSCNNNeuron\fP\&.
.SS "Instance Methods"

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.RI "(nonnull instancetype) \- \fBinitWithDevice:a:count:\fP"
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.RI "(nonnull instancetype) \- \fBinitWithDevice:\fP"
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.in -1c
.SS "Additional Inherited Members"
.SH "Detailed Description"
.PP 
This depends on Metal\&.framework  Specifies the parametric ReLU neuron filter\&. For each pixel, applies the following function: f(x_i) = x_i, if x_i >= 0 = a_i * x_i if x_i < 0 i in [0\&.\&.\&.channels-1] i\&.e\&. parameters a_i are learned and applied to each channel separately\&. Compare this to ReLu where parameter a is shared across all channels\&. See https://arxiv.org/pdf/1502.01852.pdf for details\&. 
.SH "Method Documentation"
.PP 
.SS "\- (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device"
Standard init with default properties per filter type 
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\fBParameters:\fP
.RS 4
\fIdevice\fP The device that the filter will be used on\&. May not be NULL\&. 
.RE
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\fBReturns:\fP
.RS 4
\fBA\fP pointer to the newly initialized object\&. This will fail, returning nil if the device is not supported\&. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later\&. 
.RE
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Reimplemented from \fBMPSCNNNeuron\fP\&.
.SS "\- (nonnull instancetype) \fBinitWithDevice:\fP (nonnull id< MTLDevice >) device(const float *_Nonnull) a(NSUInteger) count"
Initialize the PReLU neuron filter 
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\fBParameters:\fP
.RS 4
\fIdevice\fP The device the filter will run on 
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\fIa\fP Array of floats containing per channel value of PReLu parameter 
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\fIcount\fP Number of float values in array a\&. This usually corresponds to number of output channels in convolution layer 
.RE
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\fBReturns:\fP
.RS 4
\fBA\fP valid \fBMPSCNNNeuronPReLU\fP object or nil, if failure\&. 
.RE
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.SH "Author"
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Generated automatically by Doxygen for MetalPerformanceShaders\&.framework from the source code\&.