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mpscnnneuronrelun(3) [mojave man page]

MPSCNNNeuronReLUN(3)					 MetalPerformanceShaders.framework				      MPSCNNNeuronReLUN(3)

NAME
MPSCNNNeuronReLUN SYNOPSIS
#import <MPSCNNNeuron.h> Inherits MPSCNNNeuron. Instance Methods (nonnull instancetype) - initWithDevice:a:b: (nonnull instancetype) - initWithDevice: Additional Inherited Members Detailed Description This depends on Metal.framework Specifies the ReLUN neuron filter. For each pixel, applies the following function: f(x) = [ x , x >= 0 [ a * x, x < 0 [ b , x >= b As an example, the TensorFlow Relu6 activation layer can be implemented by setting the parameter b to 6.0f: https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/relu6. The default value of a is 1.0f and the default value of b is 6.0f. 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(float) a(float) b Initialize a ReLUN neuron filter Parameters: device The device the filter will run on a Filter property 'a'. See class discussion. b Filter property 'b'. See class discussion. Returns: A valid MPSCNNNeuronReLUN object or nil, if failure. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNNeuronReLUN(3)

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MPSCNNNeuronTanH(3)					 MetalPerformanceShaders.framework				       MPSCNNNeuronTanH(3)

NAME
MPSCNNNeuronTanH SYNOPSIS
#import <MPSCNNNeuron.h> Inherits MPSCNNNeuron. Instance Methods (nonnull instancetype) - initWithDevice:a:b: (nonnull instancetype) - initWithDevice: Additional Inherited Members Detailed Description This depends on Metal.framework Specifies the hyperbolic tangent neuron filter. For each pixel, applies the following function: f(x) = a * tanh(b * x) 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(float) a(float) b Initialize the hyperbolic tangent neuron filter Parameters: device The device the filter will run on a Filter property 'a'. See class discussion. b Filter property 'b'. See class discussion. Returns: A valid MPSCNNNeuronTanH object or nil, if failure. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNNeuronTanH(3)
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