mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-10-07 02:19:14 +08:00
63 lines
2.6 KiB
Plaintext
63 lines
2.6 KiB
Plaintext
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions
|
|
* are met:
|
|
* * Redistributions of source code must retain the above copyright
|
|
* notice, this list of conditions and the following disclaimer.
|
|
* * Redistributions in binary form must reproduce the above copyright
|
|
* notice, this list of conditions and the following disclaimer in the
|
|
* documentation and/or other materials provided with the distribution.
|
|
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
|
* contributors may be used to endorse or promote products derived
|
|
* from this software without specific prior written permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
|
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
|
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
|
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
|
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
|
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
|
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
|
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*/
|
|
|
|
// Utilities and system includes
|
|
|
|
#include <helper_cuda.h>
|
|
|
|
// clamp x to range [a, b]
|
|
__device__ float clamp(float x, float a, float b) { return max(a, min(b, x)); }
|
|
|
|
__device__ int clamp(int x, int a, int b) { return max(a, min(b, x)); }
|
|
|
|
// convert floating point rgb color to 8-bit integer
|
|
__device__ int rgbToInt(float r, float g, float b) {
|
|
r = clamp(r, 0.0f, 255.0f);
|
|
g = clamp(g, 0.0f, 255.0f);
|
|
b = clamp(b, 0.0f, 255.0f);
|
|
return (int(b) << 16) | (int(g) << 8) | int(r);
|
|
}
|
|
|
|
__global__ void cudaProcess(unsigned int *g_odata, int imgw) {
|
|
extern __shared__ uchar4 sdata[];
|
|
|
|
int tx = threadIdx.x;
|
|
int ty = threadIdx.y;
|
|
int bw = blockDim.x;
|
|
int bh = blockDim.y;
|
|
int x = blockIdx.x * bw + tx;
|
|
int y = blockIdx.y * bh + ty;
|
|
|
|
uchar4 c4 = make_uchar4((x & 0x20) ? 100 : 0, 0, (y & 0x20) ? 100 : 0, 0);
|
|
g_odata[y * imgw + x] = rgbToInt(c4.z, c4.y, c4.x);
|
|
}
|
|
|
|
extern "C" void launch_cudaProcess(dim3 grid, dim3 block, int sbytes,
|
|
unsigned int *g_odata, int imgw) {
|
|
cudaProcess<<<grid, block, sbytes>>>(g_odata, imgw);
|
|
}
|