Query: mpscnnneuronprelu
OS: mojave
Section: 3
Format: Original Unix Latex Style Formatted with HTML and a Horizontal Scroll Bar
MPSCNNNeuronPReLU(3) MetalPerformanceShaders.framework MPSCNNNeuronPReLU(3)NAMEMPSCNNNeuronPReLUSYNOPSIS#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)
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mpscnnneuronpower(3) - mojave |
mpscnnneuronrelun(3) - mojave |
mpscnnneuronrelu(3) - mojave |
mpscnnneurontanh(3) - mojave |
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