c++ - Change rand_r to srand/rand -


i change use of rand_r method srand/rand or other random generator seed.

in code there loop call train method seed.

int nseeds = 5; (int seed = 0; seed < nseeds; seed ++) {     c.train(k, reps, gradientreps, improvereps, lambda, seed, symmetricdiff); }

in train method there 3 calls rand_r change. thought call srand @ beginning given seed , call rand() method, don't know if proper way. think?

void cluster::train(int k, int reps, int gradientreps, int improvereps, scalar lambda, int seed, int whichloss) {   unsigned int seed_ = seed;   unsigned int* sptr = &seed_;   //srand(seed);    (int rep = 0; rep < reps; rep ++)   {     (int k = 0; k < k; k ++)       if (rep == 0 or (int) chat[k].size() == 0 or (int) chat[k].size() == gd->nnodes)       {         (int = 0; < gd->nnodes; ++)           if (rand_r(sptr) % 2 == 0) chat[k].insert(i);         (int = 0; < gd->nedgefeatures; ++)           theta[k*gd->nedgefeatures + i] = 0;          theta[k*gd->nedgefeatures + rand_r(sptr)%gd->nedgefeatures] = 1.0;       }      (int k = 0; k < k; k ++)     {       (int o = 0; o < k; o ++)       {         int x1 = o;         int x2 = rand_r(sptr) % k;         // code       }     }   } }

link source. above code in main.cpp , cluster.cpp.

if compiler supports c++11, use new random number library. if not, should try boost random (it's same). recommend using mt19937 random number engine, produces pretty quality random numbers, , it's fast.

then code this:

std::mt19937 rng; ... std::uniform_int_distribution dist(0, k - 1); ... int x2 = dist(rng);

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