cudaMemcpy 中从设备到主机的无效参数错误

Question

我是 CUDA/GPU 的新手，我在将数据从我的设备复制回主机时遇到问题。我正在使用 CUDA 工具包 6.5 为 Jetson TK1 开发。它构建成功，但在运行时出错。我的代码如下：

//main.cu
void allocate(double* const d_inputCurrent, double* signal, double* const d_outputCurrent, const size_t size);

int main () {
    int data_length = 1024000;
    const int length=512;
    const size_t size= length;

    double signalA[length], signalB[length], signalC[length];

for (int i=0; i<data_length; i++)
{

    double *d_inputCurrentIa, *d_inputCurrentIb, *d_inputCurrentIc;
    double *d_outputCurrentIa, *d_outputCurrentIb, *d_outputCurrentIc;

    if(i==0)
    {
        for(int k=0; k<length; k++)
        {
            signalA[k]=v_ia[k];
            signalB[k]=v_ib[k];
            signalC[k]=v_ic[k];
        }
        i=length-1;
    }
    else
    {
        //allocate memory in GPU and kernel call for phase A
        allocate(d_inputCurrentIa, signalA, d_outputCurrentIa, size);
        cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());

        checkCudaErrors(cudaMemcpy(signalA, d_outputCurrentIa, sizeof(double) * size, cudaMemcpyDeviceToHost));
        signalA[length-1]=v_ia[i];

        //allocate memory in GPU and kernel call for phase B
        allocate(d_inputCurrentIb, signalB, d_outputCurrentIb, size);
        cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());

        checkCudaErrors(cudaMemcpy(signalB, d_outputCurrentIb, sizeof(double) * size, cudaMemcpyDeviceToHost));
        signalB[length-1]=v_ib[i];

        //allocate memory in GPU and kernel call for phase C;
        allocate(d_inputCurrentIc, signalC, d_outputCurrentIc, size);
        cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());

        checkCudaErrors(cudaMemcpy(signalC, d_outputCurrentIc, sizeof(double) * size, cudaMemcpyDeviceToHost));
        signalC[length-1]=v_ic[i];

        //memory cleaning
        checkCudaErrors(cudaFree(d_inputCurrentIa));
        checkCudaErrors(cudaFree(d_inputCurrentIb));
        checkCudaErrors(cudaFree(d_inputCurrentIc));
        checkCudaErrors(cudaFree(d_outputCurrentIa));
        checkCudaErrors(cudaFree(d_outputCurrentIb));
        checkCudaErrors(cudaFree(d_outputCurrentIc));
    }

而且我的内核和函数都很简单，它们只是每次将数组元素向左移动：

__global__ void allocate_kernel(double* const d_in, double* const d_out, const size_t size) {

    __shared__ double shared[512];

    int tid = threadIdx.x;

    if(tid < size)
    shared[tid] = d_in[tid];
    __syncthreads();

    if(tid < size-1)
    d_out[tid]=shared[tid+1];
    __syncthreads();

}


void allocate(double* const d_inputCurrent, double* signal, double* const d_outputCurrent, const size_t size) {

    const dim3 blockSize(512);
    const dim3 gridSize(1);

    checkCudaErrors(cudaFree(0));

    checkCudaErrors(cudaMalloc((void **)&d_inputCurrent, sizeof(double) * size));
    checkCudaErrors(cudaMalloc((void **)&d_outputCurrent, sizeof(double) * size));

    checkCudaErrors(cudaMemset(d_outputCurrent, 0, sizeof(double) * size));

    checkCudaErrors(cudaMemcpy(d_inputCurrent, signal, sizeof(double) * size, cudaMemcpyHostToDevice));

    allocate_kernel<<<gridSize, blockSize>>>(d_inputCurrent, d_outputCurrent, size);
    cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());
}

这是我博士论文的一小部分，我正在用这段代码练习 CUDA，我知道现在它没有那么大的意义，但我无法继续前进，因为我被这个问题困住了。任何帮助将不胜感激，提前致谢。

Answer 1

在 C 中，您不能按值传递指向函数的指针，让该函数修改指针，然后期望该指针的修改显示在调用中环境：

double *d_inputCurrentIa, *d_inputCurrentIb, *d_inputCurrentIc;
double *d_outputCurrentIa, *d_outputCurrentIb, *d_outputCurrentIc;

...
    //allocate memory in GPU and kernel call for phase A

// at this point, d_inputCurrentIa and d_outputCurrentIa are pointing to nothing
    allocate(d_inputCurrentIa, signalA, d_outputCurrentIa, size);
// allocate modified those pointers internally, but the modified values don't show up here
    cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());

    checkCudaErrors(cudaMemcpy(signalA, d_outputCurrentIa, sizeof(double) * size, cudaMemcpyDeviceToHost));
// therefore you will get an error here, because d_outputCurrentIa still points to nothing

有多种方法可以完成这项工作。一种方法是传递要修改和使用的指针的地址：

void allocate(double** d_inputCurrent, double* signal, double **d_outputCurrent, const size_t size);

double *d_inputCurrentIa, *d_inputCurrentIb, *d_inputCurrentIc;
double *d_outputCurrentIa, *d_outputCurrentIb, *d_outputCurrentIc;

...
    //allocate memory in GPU and kernel call for phase A
    allocate(&d_inputCurrentIa, signalA, &d_outputCurrentIa, size);
...
void allocate(double** d_inputCurrent, double* signal, double** d_outputCurrent, const size_t size) {

    const dim3 blockSize(512);
    const dim3 gridSize(1);

    checkCudaErrors(cudaFree(0));

    checkCudaErrors(cudaMalloc((void **)d_inputCurrent, sizeof(double) * size));
    checkCudaErrors(cudaMalloc((void **)d_outputCurrent, sizeof(double) * size));

    checkCudaErrors(cudaMemset(*d_outputCurrent, 0, sizeof(double) * size));

    checkCudaErrors(cudaMemcpy(*d_inputCurrent, signal, sizeof(double) * size, cudaMemcpyHostToDevice));

    allocate_kernel<<<gridSize, blockSize>>>(*d_inputCurrent, *d_outputCurrent, size);
    cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());
}

备注：

不确定为什么要标记这些指针 const。它们在任何方面都不是 const（该函数将修改指针 value 以及它指向的数据。）
在浏览器中编码。您可能需要修复一些其他问题。由于您没有提供完整的代码来使用，我也没有提供完整的代码。但这应该是一个路线图。
在函数中分配可能会导致内存泄漏。你可能想考虑一下。如果您要重复使用或创建大量指针，请务必制定释放这些指针的计划。

cudaMemcpy 中从设备到主机的无效参数错误

invalid argument error in cudaMemcpy from device to host

cuda

gpu