Improve test coverage with predictor configuration. (#9354)
* Improve test coverage with predictor configuration. - Test with ext memory. - Test with QDM. - Test with dart.
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@@ -123,7 +123,8 @@ TEST(GPUPredictor, EllpackBasic) {
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auto ctx = MakeCUDACtx(0);
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for (size_t bins = 2; bins < 258; bins += 16) {
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size_t rows = bins * 16;
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auto p_m = RandomDataGenerator{rows, kCols, 0.0}.Bins(bins).Device(0).GenerateDeviceDMatrix();
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auto p_m =
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RandomDataGenerator{rows, kCols, 0.0}.Bins(bins).Device(0).GenerateDeviceDMatrix(false);
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ASSERT_FALSE(p_m->PageExists<SparsePage>());
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TestPredictionFromGradientIndex<EllpackPage>(&ctx, rows, kCols, p_m);
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TestPredictionFromGradientIndex<EllpackPage>(&ctx, bins, kCols, p_m);
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@@ -133,7 +134,7 @@ TEST(GPUPredictor, EllpackBasic) {
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TEST(GPUPredictor, EllpackTraining) {
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size_t constexpr kRows { 128 }, kCols { 16 }, kBins { 64 };
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auto p_ellpack =
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RandomDataGenerator{kRows, kCols, 0.0}.Bins(kBins).Device(0).GenerateDeviceDMatrix();
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RandomDataGenerator{kRows, kCols, 0.0}.Bins(kBins).Device(0).GenerateDeviceDMatrix(false);
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HostDeviceVector<float> storage(kRows * kCols);
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auto columnar = RandomDataGenerator{kRows, kCols, 0.0}
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.Device(0)
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@@ -219,7 +220,7 @@ TEST(GPUPredictor, ShapStump) {
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gbm::GBTreeModel model(&mparam, &ctx);
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std::vector<std::unique_ptr<RegTree>> trees;
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trees.push_back(std::unique_ptr<RegTree>(new RegTree));
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trees.push_back(std::make_unique<RegTree>());
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model.CommitModelGroup(std::move(trees), 0);
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auto gpu_lparam = MakeCUDACtx(0);
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@@ -246,7 +247,7 @@ TEST(GPUPredictor, Shap) {
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gbm::GBTreeModel model(&mparam, &ctx);
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std::vector<std::unique_ptr<RegTree>> trees;
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trees.push_back(std::unique_ptr<RegTree>(new RegTree));
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trees.push_back(std::make_unique<RegTree>());
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trees[0]->ExpandNode(0, 0, 0.5, true, 1.0, -1.0, 1.0, 0.0, 5.0, 2.0, 3.0);
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model.CommitModelGroup(std::move(trees), 0);
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