我在VS2012旗舰版上使用cusp v.0.4.0,cuda V5.5。我使用新项目向导创建了一个CUDA项目,并为其项目属性\ VC ++目录\包含目录添加了cusp路径。我在VS2012生成的 *。cu 文件中编写了我的代码,该项目已成功编译和构建,但执行时出现 R6010 错误。我通过将项目属性\ CUDA C / C ++ \ Device \ Code Generation 的默认值从 compute_10,sm_10 更改为 compute_30,sm_30 ,这是我的sm版本。一切都运作良好。
现在我想在C ++项目中使用相同的代码。当我将它添加到新的C ++项目并且我添加了 VC ++包含目录的cusp路径时,项目构建失败,在多个文件中出现了大量语法错误:
错误5错误C2144:语法错误:'void'前面应加';' c:\ users \ administrator \ downloads \ android \ cusplibrary-master \ cusplibrary-master \ cusp \ detail \ device \ spmv \ coo_flat.h 164
22智能感知:期待';' c:\ Users \ Administrator \ Downloads \ Android \ cusplibrary-master \ cusplibrary-master \ cusp \ detail \ device \ spmv \ coo_flat.h 272
...
还有108个这样的错误。如果这些是语法错误,为什么它们中的任何一个都没有出现在我的CUDA解决方案中?如何在C ++项目中成功构建代码?
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <cusp/krylov/cg.h>
#include <cusp/csr_matrix.h>
#include <cusp/hyb_matrix.h>
#include <cusp/gallery/poisson.h>
#include <cusp/io/matrix_market.h>
#include <cusp\print.h>
#include <fstream>
#include <conio.h>
#include <math.h>
#include <iostream>
#include <windows.h>
using namespace std;
int main()
{
int N = 10000;
int nnz = 1005070;
DWORD dw1 = GetTickCount();
cusp::csr_matrix<int,double,cusp::device_memory> A(N,N,nnz);
DWORD dw2 = GetTickCount();
double dw3 = dw2 - dw1;
cout << "alocating A matrix time : " << dw3 << endl;
ifstream rowOffseFile;
ifstream colIndexFile;
ifstream valuesFile;
ifstream ansFile;
rowOffseFile.open("C:\\Users\\Administrator\\Documents\\MATLAB\\10000_0.01_RO.txt");
int *rowOffset = NULL;
rowOffset = (int *)malloc((N+1)*sizeof(int));
for (int i = 0; i < N+1; i++)
{
rowOffset[i] = 0;
}
int i =0;
if (rowOffseFile.is_open()) {
while (!rowOffseFile.eof()) {
rowOffseFile >> rowOffset[i];
i+=1;
}
}
rowOffseFile.close();
DWORD dw10 = GetTickCount();
for (int i = 0; i < (N+1); i++)
{
A.row_offsets[i] = rowOffset[i];
}
DWORD dw11 = GetTickCount();
double dw12 =dw11 - dw10;
///////////////////////////////////////////////////////////////////////////////////
colIndexFile.open("C:\\Users\\Administrator\\Documents\\MATLAB\\10000_0.01_CI.txt");
int *colIndex = NULL;
colIndex = (int *)malloc((nnz)*sizeof(int));
for (int i = 0; i < nnz; i++)
{
colIndex[i] = 0;
}
i =0;
if (colIndexFile.is_open()) {
while (!colIndexFile.eof()) {
colIndexFile >> colIndex[i];
//int temp = (int)output;
//cout<< colIndex[i] << endl;
i+=1;
}
}
colIndexFile.close();
DWORD ex1 = GetTickCount();
for (int i = 0; i < nnz; i++)
{
A.column_indices[i] = colIndex[i];
}
DWORD ex2 = GetTickCount();
double t = ex2-ex1;
/////////////////////////////////////////////////////////////
valuesFile.open("C:\\Users\\Administrator\\Documents\\MATLAB\\10000_0.01_V.txt");
double *values = NULL;
values = (double *)malloc((nnz)*sizeof(double));
for (int i = 0; i < nnz; i++)
{
values[i] = 0;
}
i =0;
if (valuesFile.is_open()) {
while (!valuesFile.eof()) {
valuesFile >> values[i];
//int temp = (int)output;
//cout<< colIndex[i] << endl;
i+=1;
}
}
valuesFile.close();
DWORD ex3 = GetTickCount();
for (int i = 0; i < nnz; i++)
{
A.values[i] = values[i];
}
DWORD ex4 = GetTickCount();
t = t+ex4-ex3+dw12;
cout << "time spent on initializing: " << t <<endl;
DWORD dw7 = GetTickCount();
cusp::array1d<double,cusp::device_memory> X(N,0.);
cusp::array1d<double,cusp::device_memory> B(N,1.);
DWORD dw8 = GetTickCount();
double dw9 = dw8-dw7;
cout << "time spent on allocating X and B :" << dw9 << endl;
DWORD dw4 = GetTickCount();
cusp::krylov::cg(A,X,B);
DWORD dw5 = GetTickCount();
double dw6 = dw5 - dw4;
std::cout << "time spenton solving : " << dw6 << std::endl;
//cusp::print(X);
ansFile.open("C:\\Users\\Administrator\\Documents\\MATLAB\\10000_0.01_X.txt");
double *ans = NULL;
ans = (double *)malloc((N)*sizeof(double));
for (int i = 0; i < N; i++)
{
ans[i] = 0;
}
i =0;
if (ansFile.is_open()) {
while (!ansFile.eof()) {
ansFile >> ans[i];
//int temp = (int)output;
//cout<< rowOffset[i] << endl;
i+=1;
}
}
ansFile.close();
double tol = 0;
double temp = 0;
for (int i = 0; i < N; i++)
{
temp = abs(X[i] - ans[i]);
if (temp>tol)
{
tol = temp;
}
}
cout << "max tol is :" << tol << endl;
getch();
return 0;
}
答案 0 :(得分:0)
&#34;现在我想在C ++编写的Project中使用这段代码,但是当我将相同的代码添加到新的C ++项目时......&#34;
这可能不会奏效。如果此代码在C ++项目中的.cpp中,则无法工作。
cusp是一个建立在CUDA之上的推力之上的模板库,所以cusp代码必须由nvcc
编译,即它必须在CUDA中VS中的项目,而不是普通的C ++项目。
所以回到VS中使用CUDA项目来获取尖点代码。