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https://github.com/NVIDIA/cuda-samples.git
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257 lines
7.6 KiB
Plaintext
257 lines
7.6 KiB
Plaintext
/* Copyright (c) 2022, 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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// Utilities and system includes
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#include <cooperative_groups.h>
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namespace cg = cooperative_groups;
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#include <helper_cuda.h>
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cudaTextureObject_t inTexObject;
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// clamp x to range [a, b]
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__device__ float clamp(float x, float a, float b) { return max(a, min(b, x)); }
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__device__ int clamp(int x, int a, int b) { return max(a, min(b, x)); }
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// convert floating point rgb color to 8-bit integer
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__device__ int rgbToInt(float r, float g, float b) {
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r = clamp(r, 0.0f, 255.0f);
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g = clamp(g, 0.0f, 255.0f);
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b = clamp(b, 0.0f, 255.0f);
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return (int(b) << 16) | (int(g) << 8) | int(r);
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}
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// get pixel from 2D image, with clamping to border
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__device__ uchar4 getPixel(int x, int y, cudaTextureObject_t inTex) {
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#ifndef USE_TEXTURE_RGBA8UI
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float4 res = tex2D<float4>(inTex, x, y);
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uchar4 ucres = make_uchar4(res.x * 255.0f, res.y * 255.0f, res.z * 255.0f,
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res.w * 255.0f);
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#else
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uchar4 ucres = tex2D<uchar4>(inTex, x, y);
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#endif
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return ucres;
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}
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// macros to make indexing shared memory easier
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#define SMEM(X, Y) sdata[(Y)*tilew + (X)]
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/*
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2D convolution using shared memory
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- operates on 8-bit RGB data stored in 32-bit int
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- assumes kernel radius is less than or equal to block size
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- not optimized for performance
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_____________
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| : : |
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|_ _:_____:_ _|
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| | | |
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|_ _|_____|_ _|
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r | : : |
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|___:_____:___|
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r bw r
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<----tilew---->
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*/
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__global__ void cudaProcess(unsigned int *g_odata, int imgw, int imgh,
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int tilew, int r, float threshold, float highlight,
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cudaTextureObject_t inTex) {
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// Handle to thread block group
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cg::thread_block cta = cg::this_thread_block();
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extern __shared__ uchar4 sdata[];
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int tx = threadIdx.x;
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int ty = threadIdx.y;
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int bw = blockDim.x;
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int bh = blockDim.y;
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int x = blockIdx.x * bw + tx;
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int y = blockIdx.y * bh + ty;
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#if 0
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uchar4 c4 = getPixel(x, y);
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g_odata[y*imgw+x] = rgbToInt(c4.z, c4.y, c4.x);
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#else
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// copy tile to shared memory
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// center region
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SMEM(r + tx, r + ty) = getPixel(x, y, inTex);
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// borders
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if (threadIdx.x < r) {
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// left
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SMEM(tx, r + ty) = getPixel(x - r, y, inTex);
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// right
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SMEM(r + bw + tx, r + ty) = getPixel(x + bw, y, inTex);
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}
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if (threadIdx.y < r) {
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// top
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SMEM(r + tx, ty) = getPixel(x, y - r, inTex);
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// bottom
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SMEM(r + tx, r + bh + ty) = getPixel(x, y + bh, inTex);
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}
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// load corners
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if ((threadIdx.x < r) && (threadIdx.y < r)) {
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// tl
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SMEM(tx, ty) = getPixel(x - r, y - r, inTex);
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// bl
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SMEM(tx, r + bh + ty) = getPixel(x - r, y + bh, inTex);
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// tr
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SMEM(r + bw + tx, ty) = getPixel(x + bh, y - r, inTex);
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// br
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SMEM(r + bw + tx, r + bh + ty) = getPixel(x + bw, y + bh, inTex);
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}
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// wait for loads to complete
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cg::sync(cta);
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// perform convolution
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float rsum = 0.0f;
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float gsum = 0.0f;
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float bsum = 0.0f;
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float samples = 0.0f;
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for (int dy = -r; dy <= r; dy++) {
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for (int dx = -r; dx <= r; dx++) {
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#if 0
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// try this to see the benefit of using shared memory
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uchar4 pixel = getPixel(x+dx, y+dy);
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#else
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uchar4 pixel = SMEM(r + tx + dx, r + ty + dy);
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#endif
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// only sum pixels within disc-shaped kernel
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float l = dx * dx + dy * dy;
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if (l <= r * r) {
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float r = float(pixel.x);
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float g = float(pixel.y);
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float b = float(pixel.z);
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#if 1
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// brighten highlights
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float lum = (r + g + b) / (255 * 3);
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if (lum > threshold) {
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r *= highlight;
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g *= highlight;
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b *= highlight;
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}
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#endif
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rsum += r;
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gsum += g;
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bsum += b;
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samples += 1.0f;
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}
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}
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}
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rsum /= samples;
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gsum /= samples;
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bsum /= samples;
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// ABGR
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g_odata[y * imgw + x] = rgbToInt(rsum, gsum, bsum);
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// g_odata[y*imgw+x] = rgbToInt(x,y,0);
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#endif
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}
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extern "C" void launch_cudaProcess(dim3 grid, dim3 block, int sbytes,
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cudaArray *g_data_array,
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unsigned int *g_odata, int imgw, int imgh,
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int tilew, int radius, float threshold,
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float highlight) {
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struct cudaChannelFormatDesc desc;
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checkCudaErrors(cudaGetChannelDesc(&desc, g_data_array));
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cudaResourceDesc texRes;
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memset(&texRes, 0, sizeof(cudaResourceDesc));
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texRes.resType = cudaResourceTypeArray;
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texRes.res.array.array = g_data_array;
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cudaTextureDesc texDescr;
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memset(&texDescr, 0, sizeof(cudaTextureDesc));
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texDescr.normalizedCoords = false;
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texDescr.filterMode = cudaFilterModePoint;
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texDescr.addressMode[0] = cudaAddressModeWrap;
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texDescr.readMode = cudaReadModeElementType;
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checkCudaErrors(
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cudaCreateTextureObject(&inTexObject, &texRes, &texDescr, NULL));
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#if 0
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printf("CUDA Array channel descriptor, bits per component:\n");
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printf("X %d Y %d Z %d W %d, kind %d\n",
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desc.x,desc.y,desc.z,desc.w,desc.f);
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printf("Possible values for channel format kind: i %d, u%d, f%d:\n",
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cudaChannelFormatKindSigned, cudaChannelFormatKindUnsigned,
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cudaChannelFormatKindFloat);
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#endif
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// printf("\n");
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#ifdef GPU_PROFILING
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StopWatchInterface *timer = 0;
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sdkCreateTimer(&timer);
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int nIter = 30;
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for (int i = -1; i < nIter; ++i) {
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if (i == 0) {
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sdkStartTimer(&timer);
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}
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#endif
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cudaProcess<<<grid, block, sbytes>>>(g_odata, imgw, imgh,
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block.x + (2 * radius), radius, 0.8f,
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4.0f, inTexObject);
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#ifdef GPU_PROFILING
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}
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cudaDeviceSynchronize();
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sdkStopTimer(&timer);
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double dSeconds = sdkGetTimerValue(&timer) / ((double)nIter * 1000.0);
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double dNumTexels = (double)imgw * (double)imgh;
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double mtexps = 1.0e-6 * dNumTexels / dSeconds;
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if (radius == 4) {
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printf("\n");
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printf(
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"postprocessGL, Throughput = %.4f MTexels/s, Time = %.5f s, Size = "
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"%.0f Texels, NumDevsUsed = %d, Workgroup = %u\n",
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mtexps, dSeconds, dNumTexels, 1, block.x * block.y);
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}
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#endif
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}
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