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https://github.com/NVIDIA/cuda-samples.git
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70 lines
2.9 KiB
C++
70 lines
2.9 KiB
C++
/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "convolutionSeparable_common.h"
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////////////////////////////////////////////////////////////////////////////////
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// Reference row convolution filter
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////////////////////////////////////////////////////////////////////////////////
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extern "C" void convolutionRowCPU(float *h_Dst, float *h_Src, float *h_Kernel,
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int imageW, int imageH, int kernelR) {
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for (int y = 0; y < imageH; y++)
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for (int x = 0; x < imageW; x++) {
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float sum = 0;
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for (int k = -kernelR; k <= kernelR; k++) {
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int d = x + k;
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if (d >= 0 && d < imageW)
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sum += h_Src[y * imageW + d] * h_Kernel[kernelR - k];
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}
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h_Dst[y * imageW + x] = sum;
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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// Reference column convolution filter
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////////////////////////////////////////////////////////////////////////////////
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extern "C" void convolutionColumnCPU(float *h_Dst, float *h_Src,
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float *h_Kernel, int imageW, int imageH,
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int kernelR) {
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for (int y = 0; y < imageH; y++)
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for (int x = 0; x < imageW; x++) {
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float sum = 0;
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for (int k = -kernelR; k <= kernelR; k++) {
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int d = y + k;
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if (d >= 0 && d < imageH)
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sum += h_Src[d * imageW + x] * h_Kernel[kernelR - k];
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}
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h_Dst[y * imageW + x] = sum;
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}
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}
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