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Avoid omp reduction in rank metric. (#7349)

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Jiaming Yuan 2021-10-22 14:13:34 +08:00 committed by GitHub
parent e36b066344
commit fd61c61071
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1 changed files with 7 additions and 3 deletions
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10
src/metric/rank_metric.cc
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@ -192,28 +192,32 @@ struct EvalRank : public Metric, public EvalRankConfig {
}
}
CHECK(tparam_);
std::vector<double> sum_tloc(tparam_->Threads(), 0.0);
if (!rank_gpu_ || tparam_->gpu_id < 0) {
const auto &labels = info.labels_.ConstHostVector();
const auto &h_preds = preds.ConstHostVector();
dmlc::OMPException exc;
#pragma omp parallel reduction(+:sum_metric)
#pragma omp parallel num_threads(tparam_->Threads())
{
exc.Run([&]() {
// each thread takes a local rec
PredIndPairContainer rec;
#pragma omp for schedule(static)
#pragma omp for schedule(static)
for (bst_omp_uint k = 0; k < ngroups; ++k) {
exc.Run([&]() {
rec.clear();
for (unsigned j = gptr[k]; j < gptr[k + 1]; ++j) {
rec.emplace_back(h_preds[j], static_cast<int>(labels[j]));
}
sum_metric += this->EvalGroup(&rec);
sum_tloc[omp_get_thread_num()] += this->EvalGroup(&rec);
});
}
});
}
sum_metric = std::accumulate(sum_tloc.cbegin(), sum_tloc.cend(), 0.0);
exc.Rethrow();
}