mirror of
https://github.com/L-yang-yang/cugenopt.git
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82 lines
2.3 KiB
Text
82 lines
2.3 KiB
Text
#pragma once
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#include "types.cuh"
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#include "cuda_utils.cuh"
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#include "operators.cuh"
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// 极大规模 TSP（最多 2048 个城市）
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struct ExtremeTSPProblem : ProblemBase<ExtremeTSPProblem, 1, 2048> {
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const float* d_dist;
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const float* h_dist;
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int n;
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static constexpr ObjDef OBJ_DEFS[] = {
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{ObjDir::Minimize, 1.0f, 0.0f}
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};
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__device__ float compute_obj(int obj_idx, const Sol& s) const {
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float total = 0;
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for (int i = 0; i < n - 1; i++) {
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int from = s.data[0][i];
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int to = s.data[0][i + 1];
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total += d_dist[from * n + to];
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}
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total += d_dist[s.data[0][n - 1] * n + s.data[0][0]];
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return total;
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}
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__device__ float compute_penalty(const Sol& s) const {
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return 0.0f;
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}
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ProblemConfig config() const {
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ProblemConfig cfg;
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cfg.encoding = EncodingType::Permutation;
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cfg.dim1 = 1;
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cfg.dim2_default = n;
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fill_obj_config(cfg);
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return cfg;
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}
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size_t working_set_bytes() const {
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return (size_t)n * n * sizeof(float);
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}
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static ExtremeTSPProblem create(const float* h_dist_matrix, int num_cities) {
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ExtremeTSPProblem prob;
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prob.n = num_cities;
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prob.h_dist = h_dist_matrix;
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size_t dist_size = (size_t)num_cities * num_cities * sizeof(float);
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CUDA_CHECK(cudaMalloc(&prob.d_dist, dist_size));
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CUDA_CHECK(cudaMemcpy((void*)prob.d_dist, h_dist_matrix, dist_size, cudaMemcpyHostToDevice));
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return prob;
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}
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void destroy() {
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if (d_dist) {
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cudaFree((void*)d_dist);
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d_dist = nullptr;
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}
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}
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ExtremeTSPProblem* clone_to_device(int target_gpu) const {
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int orig_device;
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CUDA_CHECK(cudaGetDevice(&orig_device));
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CUDA_CHECK(cudaSetDevice(target_gpu));
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float* dd;
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size_t dist_size = (size_t)n * n * sizeof(float);
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CUDA_CHECK(cudaMalloc(&dd, dist_size));
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CUDA_CHECK(cudaMemcpy(dd, h_dist, dist_size, cudaMemcpyHostToDevice));
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CUDA_CHECK(cudaSetDevice(orig_device));
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ExtremeTSPProblem* new_prob = new ExtremeTSPProblem();
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new_prob->n = n;
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new_prob->h_dist = h_dist;
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new_prob->d_dist = dd;
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return new_prob;
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}
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};
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