MPSCNNNeuronPReLU(3) MetalPerformanceShaders.framework MPSCNNNeuronPReLU(3)
NAME
MPSCNNNeuronPReLU
SYNOPSIS
#import <MPSCNNNeuron.h>
Inherits MPSCNNNeuron.
Instance Methods
(nonnull instancetype) - initWithDevice:a:count:
(nonnull instancetype) - initWithDevice:
Additional Inherited Members
Detailed Description
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.
Method Documentation
- (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device
Standard init with default properties per filter type
Parameters:
device The device that the filter will be used on. May not be NULL.
Returns:
A 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.
Reimplemented from MPSCNNNeuron.
- (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(const float *_Nonnull) a(NSUInteger) count
Initialize the PReLU neuron filter
Parameters:
device The device the filter will run on
a Array of floats containing per channel value of PReLu parameter
count Number of float values in array a. This usually corresponds to number of output channels in convolution layer
Returns:
A valid MPSCNNNeuronPReLU object or nil, if failure.
Author
Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.
Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNNeuronPReLU(3)
