ROCm CI Service Account
123 строки
3.6 KiB
C++
123 строки
3.6 KiB
C++
/*
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Copyright (c) 2015 - 2021 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#include <iostream>
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// hip header file
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#include "hip/hip_runtime.h"
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#define LENGTH 4
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#define SIZE (LENGTH * LENGTH)
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#define THREADS_PER_BLOCK 1
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#define BLOCKS_PER_GRID LENGTH
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// CPU function - basically scan each row and save the output in array
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void matrixRowSum(int* input, int* output, int width) {
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for (int i = 0; i < width; i++) {
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for (int j = 0; j < width; j++) {
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output[i] += input[i * width + j];
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}
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}
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}
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// Device (kernel) function
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__global__ void gpuMatrixRowSum(int* input, int* output, int width) {
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int index = blockDim.x * blockIdx.x + threadIdx.x;
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#pragma unroll
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for (int i = 0; i < width; i++) {
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output[index] += input[index * width + i];
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}
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}
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int main() {
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int* Matrix;
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int* sumMatrix;
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int* cpuSumMatrix;
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int* gpuMatrix;
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int* gpuSumMatrix;
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hipDeviceProp_t devProp;
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hipGetDeviceProperties(&devProp, 0);
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std::cout << "Device name " << devProp.name << std::endl;
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Matrix = (int*)malloc(sizeof(int) * SIZE);
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sumMatrix = (int*)malloc(sizeof(int) * LENGTH);
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cpuSumMatrix = (int*)malloc(sizeof(int) * LENGTH);
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for (int i = 0; i < SIZE; i++) {
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Matrix[i] = i * 2;
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}
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for (int i = 0; i < LENGTH; i++) {
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cpuSumMatrix[i] = 0;
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}
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// Allocated Device Memory
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hipMalloc((void**)&gpuMatrix, SIZE * sizeof(int));
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hipMalloc((void**)&gpuSumMatrix, LENGTH * sizeof(int));
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// Memory Copy to Device
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hipMemcpy(gpuMatrix, Matrix, SIZE * sizeof(int), hipMemcpyHostToDevice);
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hipMemcpy(gpuSumMatrix, cpuSumMatrix, LENGTH * sizeof(float), hipMemcpyHostToDevice);
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// Launch device kernels
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hipLaunchKernelGGL(gpuMatrixRowSum, dim3(BLOCKS_PER_GRID), dim3(THREADS_PER_BLOCK), 0, 0,
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gpuMatrix, gpuSumMatrix, LENGTH);
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// Memory copy back to device
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hipMemcpy(sumMatrix, gpuSumMatrix, LENGTH * sizeof(int), hipMemcpyDeviceToHost);
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// Cpu implementation
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matrixRowSum(Matrix, cpuSumMatrix, LENGTH);
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// verify the results
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int errors = 0;
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for (int i = 0; i < LENGTH; i++) {
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if (sumMatrix[i] != cpuSumMatrix[i]) {
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printf("%d - cpu: %d gpu: %d\n", i, sumMatrix[i], cpuSumMatrix[i]);
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errors++;
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}
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}
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if (errors == 0) {
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printf("PASSED\n");
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} else {
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printf("FAILED with %d errors\n", errors);
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}
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// GPU Free
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hipFree(gpuMatrix);
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hipFree(gpuSumMatrix);
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// CPU Free
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free(Matrix);
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free(sumMatrix);
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free(cpuSumMatrix);
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return errors;
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}
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