#include #include #include "../helpers.h" #include "../../../src/gbm/gbtree.h" namespace xgboost { TEST(GBTree, SelectTreeMethod) { using Arg = std::pair; size_t constexpr kRows = 10; size_t constexpr kCols = 10; auto mat_ptr = CreateDMatrix(kRows, kCols, 0); std::vector> mat = {*mat_ptr}; LearnerTrainParam learner_param; learner_param.InitAllowUnknown(std::vector{Arg("n_gpus", "0")}); std::unique_ptr p_gbm{ GradientBooster::Create("gbtree", &learner_param, {}, 0)}; auto& gbtree = dynamic_cast (*p_gbm); // Test if `tree_method` can be set std::string n_feat = std::to_string(kCols); gbtree.Configure({Arg{"tree_method", "approx"}, Arg{"num_feature", n_feat}}); auto const& tparam = gbtree.GetTrainParam(); ASSERT_EQ(tparam.updater_seq, "grow_histmaker,prune"); gbtree.Configure({Arg("tree_method", "exact"), Arg("num_feature", n_feat)}); ASSERT_EQ(tparam.updater_seq, "grow_colmaker,prune"); gbtree.Configure({Arg("tree_method", "hist"), Arg("num_feature", n_feat)}); ASSERT_EQ(tparam.updater_seq, "grow_quantile_histmaker"); ASSERT_EQ(tparam.predictor, "cpu_predictor"); gbtree.Configure({Arg{"booster", "dart"}, Arg{"tree_method", "hist"}, Arg{"num_feature", n_feat}}); ASSERT_EQ(tparam.updater_seq, "grow_quantile_histmaker"); #ifdef XGBOOST_USE_CUDA learner_param.InitAllowUnknown(std::vector{Arg{"n_gpus", "1"}}); gbtree.Configure({Arg("tree_method", "gpu_exact"), Arg("num_feature", n_feat)}); ASSERT_EQ(tparam.updater_seq, "grow_gpu,prune"); ASSERT_EQ(tparam.predictor, "gpu_predictor"); gbtree.Configure({Arg("tree_method", "gpu_hist"), Arg("num_feature", n_feat)}); ASSERT_EQ(tparam.updater_seq, "grow_gpu_hist"); ASSERT_EQ(tparam.predictor, "gpu_predictor"); gbtree.Configure({Arg{"booster", "dart"}, Arg{"tree_method", "gpu_hist"}, Arg{"num_feature", n_feat}}); ASSERT_EQ(tparam.updater_seq, "grow_gpu_hist"); #endif delete mat_ptr; } } // namespace xgboost