我正在试图弄清楚如何创建一个注定要发送到设备的结构/类,但我不断得到这个“无效参数”CUDA错误。我做了一个显示错误的小例子:
#include <iostream>
#include <cstdio>
using namespace std;
#define CUDA_WARN(XXX) \
do { if (XXX != cudaSuccess) cerr << "CUDA Error: " << \
cudaGetErrorString(XXX) << ", at line " << __LINE__ \
<< endl; cudaDeviceSynchronize(); } while (0)
struct P {
double x,y;
__host__ __device__ void init(const double &a, const double &b) {
x = a; y = b; }
};
int main(int argc, char **argv)
{
P hP, hQ, dP;
cout << "Size of P: " << sizeof(P) << endl;
CUDA_WARN(cudaMalloc((void**) &dP, sizeof(P)));
printf("dP: %p\n", &dP); // print dP's address on the device
hP.init(1.2,-2.1);
hQ.init(0.,0.);
CUDA_WARN(cudaMemcpy(&dP, &hP, sizeof(P), cudaMemcpyHostToDevice));
CUDA_WARN(cudaMemcpy(&hQ, &dP, sizeof(P), cudaMemcpyDeviceToHost));
cout << "Copy back: " << hQ.x << "\t" << hQ.y << endl;
dP.init(3.,3.);
CUDA_WARN(cudaMemcpy(&hP, &dP, sizeof(P), cudaMemcpyDeviceToHost));
cout << "Copy new: " << hP.x << "\t" << hP.y << endl;
return 0;
}
我正在编译(我的卡是特斯拉C2050):
nvcc -arch sm_20 -o exec file.cu
我得到的结果是:
Size of P: 16
dP: 0x7fff82d4b7b0
CUDA Error: invalid argument, at line 24
CUDA Error: invalid argument, at line 25
Copy back: 0 0
CUDA Error: invalid argument, at line 28
Copy new: 1.2 -2.1
------------------
(program exited with code: 0)
Press return to continue
谢谢你,如果你可以帮我这个!
======评论@talonmies,@ Jackolantern,@ Rortrt Crovella =======
谢谢,伙计们!你真的帮了!根据评论,我可以更正我的代码,现在它正在运行。只需注册最终解决方案:
#include <iostream>
#include <cstdio>
using namespace std;
#define CUDA_WARN(XXX) \
do { if (XXX != cudaSuccess) cerr << "CUDA Error: " << \
cudaGetErrorString(XXX) << ", at line " << __LINE__ \
<< endl; cudaDeviceSynchronize(); } while (0)
struct P {
double x,y;
__host__ __device__ void init(const double &a, const double &b) {
x = a; y = b; }
};
/* INCLUDED KERNEL FUNCTION */
__global__ void dev_P_init(P *p, double a, double b) {
p->init(a,b);
}
int main(int argc, char **argv)
{
P hP, hQ, *dP; //*changed*
cout << "Size of P: " << sizeof(P) << endl;
CUDA_WARN(cudaMalloc((void**) &dP, sizeof(P)));
printf("dP: %p\n", &dP); // print dP's address on the device
hP.init(1.2,-2.1);
hQ.init(0.,0.);
CUDA_WARN(cudaMemcpy(dP, &hP, sizeof(P), cudaMemcpyHostToDevice)); //*changed*
CUDA_WARN(cudaMemcpy(&hQ, dP, sizeof(P), cudaMemcpyDeviceToHost)); //*changed*
cout << "Copy back: " << hQ.x << "\t" << hQ.y << endl;
dev_P_init<<< 1, 1 >>>(dP,3., 3.); //*call to kernel*
CUDA_WARN(cudaMemcpy(&hP, dP, sizeof(P), cudaMemcpyDeviceToHost)); //*changed*
cout << "Copy new: " << hP.x << "\t" << hP.y << endl;
return 0;
}
并更正了输出:
Size of P: 16
dP: 0x7fff6fa2e498
Copy back: 1.2 -2.1
Copy new: 3 3
------------------
(program exited with code: 0)
Press return to continue
答案 0 :(得分:2)
正如@talonmies已经注意到的那样,&dP
不是有效的设备指针。实际上,dP
是驻留在主机上的变量,因此其地址指向主机内存空间。与此相反,当dP
是指针时,cudaMalloc
将接收其值作为参数,其值将指向设备存储空间。
这是您的代码的正确版本:
#include <iostream>
#include <cstdio>
using namespace std;
#define CUDA_WARN(XXX) \
do { if (XXX != cudaSuccess) cerr << "CUDA Error: " << \
cudaGetErrorString(XXX) << ", at line " << __LINE__ \
<< endl; cudaDeviceSynchronize(); } while (0)
struct P {
double x,y;
__host__ __device__ void init(const double &a, const double &b) {
x = a; y = b; }
};
int main(int argc, char **argv)
{
P *dP;
P hP, hQ;
CUDA_WARN(cudaMalloc((void**) &dP, sizeof(P)));
CUDA_WARN(cudaMemcpy(dP, &hP, sizeof(P), cudaMemcpyHostToDevice));
CUDA_WARN(cudaMemcpy(&hQ, dP, sizeof(P), cudaMemcpyDeviceToHost));
CUDA_WARN(cudaMemcpy(&hP, dP, sizeof(P), cudaMemcpyDeviceToHost));
return 0;
}