Refactor tests with data generator. (#5439)

This commit is contained in:
Jiaming Yuan
2020-03-27 06:44:44 +08:00
committed by GitHub
parent 7146b91d5a
commit 4942da64ae
26 changed files with 334 additions and 259 deletions

View File

@@ -21,11 +21,9 @@ TEST(Predictor, PredictionCache) {
DMatrix* m;
// Add a cache that is immediately expired.
auto add_cache = [&]() {
auto *pp_dmat = CreateDMatrix(kRows, kCols, 0);
auto p_dmat = *pp_dmat;
auto p_dmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
container.Cache(p_dmat, GenericParameter::kCpuId);
m = p_dmat.get();
delete pp_dmat;
};
add_cache();
@@ -42,8 +40,7 @@ void TestTrainingPrediction(size_t rows, std::string tree_method) {
std::unique_ptr<Learner> learner;
auto train = [&](std::string predictor, HostDeviceVector<float>* out) {
auto pp_m = CreateDMatrix(rows, kCols, 0);
auto p_m = *pp_m;
auto p_m = RandomDataGenerator(rows, kCols, 0).GenerateDMatix();
auto &h_label = p_m->Info().labels_.HostVector();
h_label.resize(rows);
@@ -64,7 +61,6 @@ void TestTrainingPrediction(size_t rows, std::string tree_method) {
learner->UpdateOneIter(i, p_m);
}
learner->Predict(p_m, false, out);
delete pp_m;
};
// Alternate the predictor, CPU predictor can not use ellpack while GPU predictor can
// not use CPU histogram index. So it's guaranteed one of the following is not