我无法将host_vector的深层副本复制到device_vector。我认为我在修改存储在device_vector中的元素的值时遇到了问题。您可以在底部找到可编译的版本,但有问题的代码如下(我在触发分段错误的行上放置星号):
thrust::host_vector<CharArr> hostToSort(size);
thrust::host_vector<long long> hostToSortRow(size);
for(int i =0; i < size; i++){
CharArr sortRow;
sortRow.value = arrayToSort[i];
sortRow.length = strlen(arrayToSort[i]);
hostToSort[i] = sortRow;
hostToSortRow[i] = arrayToSortRow[i];
}
thrust::device_vector<CharArr> deviceArrayToSort =hostToSort;
//thrust::copy(hostToSort.begin(),hostToSort.end(),deviceArrayToSort.begin());
// = ;// (arrayToSort,arrayToSort + size);
thrust::device_vector<long long> deviceArrayToSortRow = hostToSortRow;//(arrayToSortRow,arrayToSortRow + size);
// thrust::sort(deviceArrayToSort.begin(),deviceArrayToSort.end());
for(int i = 0; i < size; i++){
char * hostString = hostToSort[i].value;
int sizeString = strlen(hostString);
char * deviceString = 0;
CharArr * deviceCharArr = (&deviceArrayToSort[i]).get();
cudaMalloc((void **) deviceString,sizeString);
cudaMemcpy(deviceString,hostString,sizeString,cudaMemcpyHostToDevice);
**** deviceCharArr->length = sizeString;
**** deviceCharArr->value = deviceString;
}
当我们到达实际的任务时,会发生什么 deviceCharArr-&gt; value = deviceString 它会引发Segmentation Fault错误。我是CUDA的新手,如果有明显的答案我会道歉,但我找不到很多人在设备上分配char *的例子。
完整的Compilable版本在这里
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/reduce.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/sort.h>
#include <thrust/reduce.h>
typedef struct{
char * value;
int length;
} CharArr;
struct CharArrayCmp{
__host__ __device__
bool operator()(const CharArr & o1, const CharArr & o2) {
return this->compare(o1.value,o1.length,o2.value,o2.length);
}
__host__ __device__ bool compare (const char * src, int lenSrc, const char * dst, int lenDest)
{
int end;
if(lenSrc > lenDest){
end = lenDest;
}else{
end = lenSrc;
}
for(int i = 0; i < end; i++){
if(src[i] > dst[i]){
return false;
}else if(src[i] < dst[i]){
return true;
}
}
if(lenSrc >= lenDest){
return false;
}
return true;
}
};
void sortCharArrayHost(char ** arrayToSort, long long * arrayToSortRow,long long size){
std::cout <<"about to start LongIndex" <<std::endl;
thrust::host_vector<CharArr> hostToSort(size);
thrust::host_vector<long long> hostToSortRow(size);
for(int i =0; i < size; i++){
CharArr sortRow;
sortRow.value = arrayToSort[i];
sortRow.length = strlen(arrayToSort[i]);
hostToSort[i] = sortRow;
hostToSortRow[i] = arrayToSortRow[i];
}
/*thrust::device_vector<CharArr> deviceArrayToSort =hostToSort;
//thrust::copy(hostToSort.begin(),hostToSort.end(),deviceArrayToSort.begin());
// = ;// (arrayToSort,arrayToSort + size);
thrust::device_vector<long long> deviceArrayToSortRow = hostToSortRow;//(arrayToSortRow,arrayToSortRow + size);
// thrust::sort(deviceArrayToSort.begin(),deviceArrayToSort.end());
for(int i = 0; i < size; i++){
char * deviceString = 0;
char * hostString = hostToSort[i].value;
int size = strlen(hostString)*sizeof(char);
int cudaStatus;
CharArr * deviceCharArr = (&deviceArrayToSort[i]).get();
cudaStatus = cudaMalloc((void **) deviceString,size);
cudaStatus = cudaMemcpy(deviceString,hostString,size,cudaMemcpyHostToDevice);
(&deviceArrayToSort[i]).get()->value = "";
}
*/
// thrust::sort_by_key(deviceArrayToSort.begin(),deviceArrayToSort.end(),deviceArrayToSortRow.begin(),CharArrayCmp());
thrust::sort_by_key(hostToSort.begin(),hostToSort.end(),hostToSortRow.begin(),CharArrayCmp());
//copy the contents back into our original array to sort now sorted
// hostToSort = deviceArrayToSort;
for(int i =0; i < size; i++){
arrayToSort[i] = hostToSort[i].value;
}
// thrust::copy(deviceArrayToSortRow.begin(),deviceArrayToSortRow.end(),arrayToSortRow);
thrust::copy(hostToSortRow.begin(),hostToSortRow.end(),arrayToSortRow);
}
void sortCharArrayDevice(char ** arrayToSort, long long * arrayToSortRow,long long size){
std::cout <<"about to start LongIndex" <<std::endl;
thrust::host_vector<CharArr> hostToSort(size);
thrust::host_vector<long long> hostToSortRow(size);
for(int i =0; i < size; i++){
CharArr sortRow;
sortRow.value = arrayToSort[i];
sortRow.length = strlen(arrayToSort[i]);
hostToSort[i] = sortRow;
hostToSortRow[i] = arrayToSortRow[i];
}
thrust::device_vector<CharArr> deviceArrayToSort =hostToSort;
//thrust::copy(hostToSort.begin(),hostToSort.end(),deviceArrayToSort.begin());
// = ;// (arrayToSort,arrayToSort + size);
thrust::device_vector<long long> deviceArrayToSortRow = hostToSortRow;//(arrayToSortRow,arrayToSortRow + size);
// thrust::sort(deviceArrayToSort.begin(),deviceArrayToSort.end());
for(int i = 0; i < size; i++){
char * hostString = hostToSort[i].value;
int sizeString = strlen(hostString);
char * deviceString = 0;
CharArr * deviceCharArr = (&deviceArrayToSort[i]).get();
cudaMalloc((void **) deviceString,sizeString);
cudaMemcpy(deviceString,hostString,sizeString,cudaMemcpyHostToDevice);
deviceCharArr->length = sizeString;
deviceCharArr->value = deviceString;
}
thrust::sort_by_key(deviceArrayToSort.begin(),deviceArrayToSort.end(),deviceArrayToSortRow.begin(),CharArrayCmp());
//copy the contents back into our original array to sort now sorted
for(int i =0; i < size; i++){
arrayToSort[i] = (&deviceArrayToSort[i]).get()->value;
}
thrust::copy(deviceArrayToSortRow.begin(),deviceArrayToSortRow.end(),arrayToSortRow);
}
int main()
{
char ** charArr = new char*[10];
charArr[0] = "zyxw";
charArr[1] = "abcd";
charArr[2] = "defg";
charArr[3] = "werd";
charArr[4] = "aasd";
charArr[5] = "zwedew";
charArr[6] = "asde";
charArr[7] = "rurt";
charArr[8] = "ntddwe";
charArr[9] = "erbfde";
long long * rows = new long long[10];
for(int i = 0; i < 10;i++ ){
rows[i] = i;
}
sortCharArrayHost(charArr,rows,10);
for(int i = 0; i < 10; i++){
std::cout<<"Row is "<<rows[i]<<" String is "<<charArr[i]<<std::endl;
}
charArr[0] = "zyxw";
charArr[1] = "abcd";
charArr[2] = "defg";
charArr[3] = "werd";
charArr[4] = "aasd";
charArr[5] = "zwedew";
charArr[6] = "asde";
charArr[7] = "rurt";
charArr[8] = "ntddwe";
charArr[9] = "erbfde";
for(int i = 0; i < 10;i++ ){
rows[i] = i;
}
sortCharArrayDevice(charArr,rows,10);
for(int i = 0; i < 10; i++){
std::cout<<"Row is "<<rows[i]<<" String is "<<charArr[i]<<std::endl;
}
}
答案 0 :(得分:4)
正如JackOLantern已经指出的那样,这是不可接受的:
// this creates an allocation on the device
thrust::device_vector<CharArr> deviceArrayToSort =hostToSort;
// this takes the (device) address an element and assigns it to a pointer variable
CharArr * deviceCharArr = (&deviceArrayToSort[i]).get();
// this then dereferences a device pointer in host code which is illegal
deviceCharArr->length = sizeString;
在CUDA中,不允许在主机代码中取消引用设备指针,反之亦然。
您似乎拥有以下数据集:
CharArr
个对象组成,每个对象包含指向字符串开头和长度的指针你希望根据以下内容对上面的2和3进行排序。推动&#34;喜欢&#34;如果可能的话,将所有内容都放在一个或两个向量中。让我们尝试以下方法:
char
向量。int
向量中每个字符串的起始索引。连续起始索引的差异将构成每个字符串的长度。我们将每个字符串的开头和长度组合成一个thrust :: tuple,用于比较器,使用zip_iterator 请注意,上述方法完全避免使用指针,正如您所见,在同一数据的主机和设备副本之间进行管理会很麻烦。
这是一个功能齐全的例子:
$ cat t439.cu
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/sort.h>
#include <thrust/copy.h>
#define NUM_STRINGS 10
struct stringCmp{
const char * strings;
stringCmp(char * _strings) : strings(_strings) {}
template<typename myTuple>
__host__ __device__
bool operator()(const myTuple & o1, const myTuple & o2) {
int idxSrc = thrust::get<0>(o1);
int lenSrc = thrust::get<1>(o1);
int idxDst = thrust::get<0>(o2);
int lenDst = thrust::get<1>(o2);
int end;
if(lenSrc > lenDst){
end = lenDst;
}else{
end = lenSrc;
}
for(int i = 0; i < end; i++){
if(strings[idxSrc+i] > strings[idxDst+i]){
return false;
}else if(strings[idxSrc+i] < strings[idxDst+i]){
return true;
}
}
if(lenSrc >= lenDst){
return false;
}
return true;
}
};
void sortCharArrayDevice(char ** arr, int *rows, int num_str){
thrust::host_vector<char> h_strings;
thrust::host_vector<int> h_st_idx(num_str);
thrust::host_vector<int> h_len(num_str);
thrust::host_vector<int> h_rows(num_str);
// concatenate strings
// assume no zero length strings
h_st_idx[0] = 0;
for (int i = 0; i < num_str; i++){
int sidx = 0;
while (arr[i][sidx] != '\0'){
h_strings.push_back(arr[i][sidx]);
sidx++;}
h_len[i] = sidx;
if (i < num_str-1) h_st_idx[i+1] = h_st_idx[i] + sidx;
h_rows[i] = rows[i];
}
// copy data to device
thrust::device_vector<char> d_strings = h_strings;
thrust::device_vector<int> d_st_idx = h_st_idx;
thrust::device_vector<int> d_len = h_len;
thrust::device_vector<int> d_rows = h_rows;
// sort on device
thrust::sort(thrust::make_zip_iterator(thrust::make_tuple(d_st_idx.begin(), d_len.begin(), d_rows.begin())), thrust::make_zip_iterator(thrust::make_tuple(d_st_idx.end(), d_len.end(), d_rows.end())), stringCmp(thrust::raw_pointer_cast(d_strings.data())));
thrust::copy(d_rows.begin(), d_rows.end(), rows);
}
int main()
{
char ** charArr = new char*[NUM_STRINGS];
charArr[0] = "zyxw";
charArr[1] = "abcd";
charArr[2] = "defg";
charArr[3] = "werd";
charArr[4] = "aasd";
charArr[5] = "zwedew";
charArr[6] = "asde";
charArr[7] = "rurt";
charArr[8] = "ntddwe";
charArr[9] = "erbfde";
int * rows = new int[NUM_STRINGS];
for(int i = 0; i < NUM_STRINGS;i++ ){
rows[i] = i;
}
sortCharArrayDevice(charArr,rows,NUM_STRINGS);
for(int i = 0; i < NUM_STRINGS; i++){
std::cout<<"Row is "<<rows[i]<<" String is "<<charArr[rows[i]]<<std::endl;
}
}
$ nvcc -arch=sm_20 -o t439 t439.cu
$ ./t439
Row is 4 String is aasd
Row is 1 String is abcd
Row is 6 String is asde
Row is 2 String is defg
Row is 9 String is erbfde
Row is 8 String is ntddwe
Row is 7 String is rurt
Row is 3 String is werd
Row is 5 String is zwedew
Row is 0 String is zyxw
$