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我对执行以下操作的最佳方法有点困惑：

假设我有以下排序的键值对

(K:V) (0 : .5)(0 : .7)(0 : .9) (1 : .2) (1 : .6) (1 : .8)

等等..

我想删除复制每个键的最小值，所以我会有 2 个结果

按键最小值

(0 : .5)(1 : .2)

其余的

(0 : .7)(0 : .9)(1 : .6)(1 : .8)

推力::unique_by_key_copy 似乎能够通过键给我最小值，因为 (K:V) 已排序。但是我不确定如何删除从原始中选择的那些以获得剩余的。

非常感谢任何想法或建议

4

1 回答 1

1

我确信有很多方法可以做到这一点。

一种可能的方法是使用thrust::adjacent_difference创建“标志数组”。

然后使用thrust::copy_if（模板版本）使用标志数组（作为模板）首先选择结果 1 中所需的元素，然后选择结果 2 中所需的元素（逻辑上使用标志数组的倒数）。

这是一个工作示例：

$ cat t671.cu
#include <thrust/copy.h>
#include <thrust/adjacent_difference.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/iterator/zip_iterator.h>
#include <iostream>


struct is_zero
{
  __host__ __device__
  bool operator()(const int s_val) const {
    return (!s_val);}
};
struct is_not_zero
{
  __host__ __device__
  bool operator()(const int s_val) const {
    return (s_val);}
};

int main(){

  int keys[] = {0, 0, 0, 1, 1, 1 };
  float vals[] = {0.5f, 0.7f, 0.9f, 0.2f, 0.6f, 0.8f };
  int my_size = sizeof(keys)/sizeof(keys[0]);
  thrust::host_vector<int>     h_keys(keys, keys+my_size);
  thrust::host_vector<float>   h_vals(vals, vals+my_size);
  thrust::device_vector<int>   d_keys = h_keys;
  thrust::device_vector<float> d_vals = h_vals;
  thrust::device_vector<int>   flags(my_size);
  thrust::device_vector<int>   d_keys1(my_size);
  thrust::device_vector<float> d_vals1(my_size);
  thrust::device_vector<int>   d_keys2(my_size);
  thrust::device_vector<float> d_vals2(my_size);
  thrust::adjacent_difference(d_keys.begin(), d_keys.end(), flags.begin());
  flags[0] = 1;  // first element is always included
  int len1 = thrust::copy_if(thrust::make_zip_iterator(thrust::make_tuple(d_keys.begin(), d_vals.begin())), thrust::make_zip_iterator(thrust::make_tuple(d_keys.end(), d_vals.end())), flags.begin(), thrust::make_zip_iterator(thrust::make_tuple(d_keys1.begin(), d_vals1.begin())), is_zero()) - thrust::make_zip_iterator(thrust::make_tuple(d_keys1.begin(), d_vals1.begin()));
  int len2 = thrust::copy_if(thrust::make_zip_iterator(thrust::make_tuple(d_keys.begin(), d_vals.begin())), thrust::make_zip_iterator(thrust::make_tuple(d_keys.end(), d_vals.end())), flags.begin(), thrust::make_zip_iterator(thrust::make_tuple(d_keys2.begin(), d_vals2.begin())), is_not_zero()) - thrust::make_zip_iterator(thrust::make_tuple(d_keys2.begin(), d_vals2.begin()));

  thrust::host_vector<int>   h_keys1(len1);
  thrust::host_vector<float> h_vals1(len1);
  thrust::copy_n(d_keys1.begin(), len1, h_keys1.begin());
  thrust::copy_n(d_vals1.begin(), len1, h_vals1.begin());
  thrust::host_vector<int>   h_keys2(len2);
  thrust::host_vector<float> h_vals2(len2);
  thrust::copy_n(d_keys2.begin(), len2, h_keys2.begin());
  thrust::copy_n(d_vals2.begin(), len2, h_vals2.begin());

  std::cout << std::endl  << "Input keys:" << std::endl;
  thrust::copy(h_keys.begin(), h_keys.end(), std::ostream_iterator<int>(std::cout, ","));
  std::cout << std::endl  << "Input values:" << std::endl;
  thrust::copy(h_vals.begin(), h_vals.end(), std::ostream_iterator<float>(std::cout, ","));



  std::cout << std::endl  << "Output keys 1:" << std::endl;
  thrust::copy(h_keys1.begin(), h_keys1.end(), std::ostream_iterator<int>(std::cout, ","));
  std::cout << std::endl  << "Output values 1:" << std::endl;
  thrust::copy(h_vals1.begin(), h_vals1.end(), std::ostream_iterator<float>(std::cout, ","));
  std::cout << std::endl  << "Output keys 2:" << std::endl;
  thrust::copy(h_keys2.begin(), h_keys2.end(), std::ostream_iterator<int>(std::cout, ","));
  std::cout << std::endl  << "Output values 2:" << std::endl;
  thrust::copy(h_vals2.begin(), h_vals2.end(), std::ostream_iterator<float>(std::cout, ","));
  std::cout << std::endl;

  return 0;
}

$ nvcc -arch=sm_20 -o t671 t671.cu
$ ./t671

Input keys:
0,0,0,1,1,1,
Input values:
0.5,0.7,0.9,0.2,0.6,0.8,
Output keys 1:
0,0,1,1,
Output values 1:
0.7,0.9,0.6,0.8,
Output keys 2:
0,1,
Output values 2:
0.5,0.2,
$
于 2015-03-10T04:52:26.643 回答