使用openMP和Rcpp设置RNG状态 [英] set RNG state with openMP and Rcpp
问题描述
我有一个澄清的问题. 据我了解,sourceCpp自动传递RNG状态,因此set.seed(123)在调用Rcpp代码时为我提供了可重现的随机数.编译程序包时,我必须添加一个设置的RNG语句. 现在,这一切如何在sourceCpp或程序包中与openMP一起使用?
I have a clarification question. It is my understanding, that sourceCpp automatically passes on the RNG state, so that set.seed(123) gives me reproducible random numbers when calling Rcpp code. When compiling a package, I have to add a set RNG statement. Now how does this all work with openMP either in sourceCpp or within a package?
考虑以下Rcpp代码
#include <Rcpp.h>
#include <omp.h>
// [[Rcpp::depends("RcppArmadillo")]]
// [[Rcpp::export]]
Rcpp::NumericVector rnormrcpp1(int n, double mu, double sigma ){
Rcpp::NumericVector out(n);
for (int i=0; i < n; i++) {
out(i) =R::rnorm(mu,sigma);
}
return(out);
}
// [[Rcpp::export]]
Rcpp::NumericVector rnormrcpp2(int n, double mu, double sigma, int cores=1 ){
omp_set_num_threads(cores);
Rcpp::NumericVector out(n);
#pragma omp parallel for schedule(dynamic)
for (int i=0; i < n; i++) {
out(i) =R::rnorm(mu,sigma);
}
return(out);
}
然后运行
set.seed(123)
a1=rnormrcpp1(100,2,3,2)
set.seed(123)
a2=rnormrcpp1(100,2,3,2)
set.seed(123)
a3=rnormrcpp2(100,2,3,2)
set.seed(123)
a4=rnormrcpp2(100,2,3,2)
all.equal(a1,a2)
all.equal(a3,a4)
虽然a1和a2相同,但a3和a4不同.如何使用openMP循环调整RNG状态?我可以吗?
While a1 and a2 are identical, a3 and a4 are not. How can I adjust the RNG state with the openMP loop? Can I?
推荐答案
是的,sourceCpp()
等以及RNGScope
的实例化,因此RNG处于适当的状态.
Yes, sourceCpp()
etc and an instantiation of RNGScope
so the RNGs are left in a proper state.
是的,可以执行OpenMP.但是在OpenMP段中,您无法控制线程执行的顺序-因此您需要延长相同的序列.我在开发一个软件包时遇到了同样的问题,我想在其中使用可重现的抽签,但仍使用OpenMP.但是看来你做不到.
And yes one can do OpenMP. But inside of OpenMP segment you cannot control in which order the threads are executed -- so you longer the same sequence. I have the same problem with a package under development where I would like to have reproducible draws yet use OpenMP. But it seems you can't.
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