CUDA程序抛出内存泄漏错误

发布于 2024-11-29 12:49:02 字数 456 浏览 1 评论 0原文

我不明白为什么下面的简单代码在 c[0] = d 处失败

void test(char **a){
char **c;
cudaMemcpy(c,a, sizeof(char*), cudaMemcpyDeviceToHost);
char temp[2];
for(int i  = 0 ; i< 2; i++){
        temp[i ] = temp[i] & 0 ;
}
char *d;
cudaMalloc((void**)&d, 2*sizeof(char));
cudaMemcpy(d, temp, 2 * sizeof(char), cudaMemcpyHostToDevice);
c[0] = d;


}
void main(){

     char **a ;
    cudaMalloc((void**)&a, sizeof( char*));
    test(a);
}

原文

I do not understand why the below simple code is failing at c[0] = d

void test(char **a){
char **c;
cudaMemcpy(c,a, sizeof(char*), cudaMemcpyDeviceToHost);
char temp[2];
for(int i  = 0 ; i< 2; i++){
        temp[i ] = temp[i] & 0 ;
}
char *d;
cudaMalloc((void**)&d, 2*sizeof(char));
cudaMemcpy(d, temp, 2 * sizeof(char), cudaMemcpyHostToDevice);
c[0] = d;


}
void main(){

     char **a ;
    cudaMalloc((void**)&a, sizeof( char*));
    test(a);
}

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ゃ人海孤独症 2024-12-06 12:49:02

您忘记为 char **c 分配内存。因此，在导致错误的行中，c 是一个“死指针”，即等于 NULL 或引用不属于您的程序的内存部分。换句话说，c 指向一个空的、未分配的 C 字符串数组。寻址 c[0] 元素（应该是数组中的第一个字符串，该字符串不存在）是非法的，并且会给您带来分段错误，因为您正在尝试写入某些内容（< code>d) 到不属于您的位置。

解决方案是在写入 c[0] 之前分配内存：

c = new char *; //or "c = new char [5]"  if you want it to hold more strings
c[0] = d;

记住如何调用 CudaMalloc() 在 GPU 上为 a 和 d 分配内存代码>变量？您只需对 c 执行相同的操作，但在主 RAM 中（即在主机上）

希望它有帮助。

You forgot to allocate memory for char **c. Therefore, in the error-causing line, c is a "dead pointer", i.e. either equal to NULL or referring to a section of memory that is not owned by your program. In other words, c points to an empty, unallocated array of C strings. Adressing the c[0] element (supposedly the first string in the array, which does not exist) is illegal and gives you a segmentation fault, because you're trying to write something (the value of d) into a location which you do not own.

The solution is to allocate memory before writing into c[0]:

c = new char *; //or "c = new char [5]"  if you want it to hold more strings
c[0] = d;

Remember how you called CudaMalloc() to allocate memory on the GPU for a and d variables? You just have to do the same for c, but in the main RAM (i.e. on the host)

Hope it helps.

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