How to ignore No such file or directory on the output? Post: 303046359

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LEARN ABOUT MOJAVE

mpscnnneuronprelu

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)