Class LibMatrixCuDNNPoolingDescriptors
- java.lang.Object
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- org.apache.sysds.runtime.matrix.data.LibMatrixCuDNNPoolingDescriptors
 
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- All Implemented Interfaces:
- AutoCloseable
 
 public class LibMatrixCuDNNPoolingDescriptors extends Object implements AutoCloseable This class is a wrapper that contain necessary data structures to invoke a cudnn convolution* functions (such as cudnnConvolutionForward, etc) It implements autocloseable to simplify the LibMatrixCuDNN code and also avoids potential memory leaks.
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Field SummaryFields Modifier and Type Field Description jcuda.jcudnn.cudnnTensorDescriptordxDescjcuda.jcudnn.cudnnTensorDescriptordyDescjcuda.jcudnn.cudnnPoolingDescriptorpoolingDescjcuda.jcudnn.cudnnTensorDescriptorxDescjcuda.jcudnn.cudnnTensorDescriptoryDesc
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Constructor SummaryConstructors Constructor Description LibMatrixCuDNNPoolingDescriptors()
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Method SummaryAll Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description voidclose()static LibMatrixCuDNNPoolingDescriptorscudnnPoolingBackwardDescriptors(GPUContext gCtx, String instName, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType)Get descriptors for maxpooling backward operationstatic LibMatrixCuDNNPoolingDescriptorscudnnPoolingDescriptors(GPUContext gCtx, String instName, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType)Get descriptors for maxpooling operation
 
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Method Detail- 
closepublic void close() - Specified by:
- closein interface- AutoCloseable
 
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cudnnPoolingBackwardDescriptorspublic static LibMatrixCuDNNPoolingDescriptors cudnnPoolingBackwardDescriptors(GPUContext gCtx, String instName, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType) Get descriptors for maxpooling backward operation- Parameters:
- gCtx- gpu context
- instName- instruction name
- N- batch size
- C- number of channels
- H- height of image
- W- width of image
- K- number of filters
- R- height of filter
- S- width of filter
- pad_h- vertical padding
- pad_w- horizontal padding
- stride_h- horizontal stride
- stride_w- vertical stride
- P- (H - R + 1 + 2*pad_h)/stride_h
- Q- (W - S + 1 + 2*pad_w)/stride_w
- poolingType- type of pooling
- Returns:
- decriptor wrapper
 
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cudnnPoolingDescriptorspublic static LibMatrixCuDNNPoolingDescriptors cudnnPoolingDescriptors(GPUContext gCtx, String instName, int N, int C, int H, int W, int K, int R, int S, int pad_h, int pad_w, int stride_h, int stride_w, int P, int Q, LibMatrixDNN.PoolingType poolingType) Get descriptors for maxpooling operation- Parameters:
- gCtx- gpu context
- instName- instruction name
- N- batch size
- C- number of channels
- H- height of image
- W- width of image
- K- number of filters
- R- height of filter
- S- width of filter
- pad_h- vertical padding
- pad_w- horizontal padding
- stride_h- horizontal stride
- stride_w- vertical stride
- P- (H - R + 1 + 2*pad_h)/stride_h
- Q- (W - S + 1 + 2*pad_w)/stride_w
- poolingType- type of pooling
- Returns:
- decriptor wrapper
 
 
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