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Top Forums Programming Thread pooling in cpp on gnu linux Post 302247599 by ps_sach on Thursday 16th of October 2008 04:39:06 AM
Old 10-16-2008
Error Thread pooling in cpp on gnu linux

I m newb to thread pooling. I have to create a cpp application using thread pooling for gnu/linux machine. I didn't get too much on the net. Can any one give me the references to source code or conceptual document of thread pooling in cpp for gnu/linux.


Any help will be appreciated.

Last edited by ps_sach; 10-16-2008 at 06:20 AM..
 

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MPSCNNPoolingL2NormGradient(3)				 MetalPerformanceShaders.framework			    MPSCNNPoolingL2NormGradient(3)

NAME
MPSCNNPoolingL2NormGradient SYNOPSIS
#import <MPSCNNPooling.h> Inherits MPSCNNPoolingGradient. Instance Methods (nonnull instancetype) - initWithDevice:kernelWidth:kernelHeight:strideInPixelsX:strideInPixelsY: (nullable instancetype) - initWithCoder:device: Additional Inherited Members Detailed Description This depends on Metal.framework Specifies the filter for computing the gradient of the L2-Norm pooling filter. The operation backpropagates a gradient vector using chain rule. L2-Norm pooling forward pass is defined as: out(x) = sqrt( sum_{dx in Window(x)} in(s*x+dx) * in(s*x+dx) ), where the pooling window definition 'Window(x)' follows MPSCNNPooling specification and 's' is the pixel stride and in() is the source input image. Hence the partial derivative of the output value wrt. to the input value needed in the gradient backpropagation in MPSCNNPoolingGradient is: d out(x)/d in(y) = sum_{dx in Window(x)} delta_{s*x+dx, y} in(s*x+dx) / out(x), where delta_{x,y} is the Kronecker delta symbol for which delta_{x,y} = { 1, when x == y { 0, otherwise, and out(x) is the L2-norm pooling value at point 'x' defined above. Method Documentation - (nullable instancetype) initWithCoder: (NSCoder *__nonnull) aDecoder(nonnull id< MTLDevice >) device NSSecureCoding compatability See MPSKernel::initWithCoder. Parameters: aDecoder The NSCoder subclass with your serialized MPSCNNPoolingL2NormGradient device The MTLDevice on which to make the MPSCNNPoolingL2NormGradient Returns: A new MPSCNNPoolingL2NormGradient object, or nil if failure. Reimplemented from MPSCNNPoolingGradient. - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(NSUInteger) kernelWidth(NSUInteger) kernelHeight(NSUInteger) strideInPixelsX(NSUInteger) strideInPixelsY Initialize a gradient L2-norm pooling filter Parameters: device The device the filter will run on kernelWidth The width of the kernel. Can be an odd or even value. kernelHeight The height of the kernel. Can be an odd or even value. strideInPixelsX The input stride (upsampling factor) in the x dimension. strideInPixelsY The input stride (upsampling factor) in the y dimension. Returns: A valid MPSCNNPoolingL2NormGradient object or nil, if failure. Reimplemented from MPSCNNPoolingGradient. Author Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code. Version MetalPerformanceShaders-100 Thu Feb 8 2018 MPSCNNPoolingL2NormGradient(3)
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