68 lines
2.2 KiB
C++
68 lines
2.2 KiB
C++
/**
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* Copyright 2024, XGBoost Contributors
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*/
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#include "test_column_split.h"
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#include <gtest/gtest.h>
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#include <xgboost/tree_model.h> // for RegTree
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#include <xgboost/tree_updater.h> // for TreeUpdater
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#include <thread> // for hardware_concurrency
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#include <vector> // for vector
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#include "../../../src/tree/param.h" // for TrainParam
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#include "../collective/test_worker.h" // for TestDistributedGlobal
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namespace xgboost::tree {
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void TestColumnSplit(bst_target_t n_targets, bool categorical, std::string name, float sparsity) {
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auto constexpr kRows = 32;
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auto constexpr kCols = 16;
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RegTree expected_tree{n_targets, static_cast<bst_feature_t>(kCols)};
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ObjInfo task{ObjInfo::kRegression};
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Context ctx;
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{
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auto p_dmat = GenerateCatDMatrix(kRows, kCols, sparsity, categorical);
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auto gpair = GenerateRandomGradients(&ctx, kRows, n_targets);
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std::unique_ptr<TreeUpdater> updater{TreeUpdater::Create(name, &ctx, &task)};
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std::vector<HostDeviceVector<bst_node_t>> position(1);
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TrainParam param;
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param.Init(Args{});
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updater->Configure(Args{});
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updater->Update(¶m, &gpair, p_dmat.get(), position, {&expected_tree});
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}
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auto constexpr kWorldSize = 2;
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auto verify = [&] {
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Context ctx;
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ctx.UpdateAllowUnknown(
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Args{{"nthread", std::to_string(collective::GetWorkerLocalThreads(kWorldSize))}});
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auto p_dmat = GenerateCatDMatrix(kRows, kCols, sparsity, categorical);
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auto gpair = GenerateRandomGradients(&ctx, kRows, n_targets);
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ObjInfo task{ObjInfo::kRegression};
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std::unique_ptr<TreeUpdater> updater{TreeUpdater::Create(name, &ctx, &task)};
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std::vector<HostDeviceVector<bst_node_t>> position(1);
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std::unique_ptr<DMatrix> sliced{
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p_dmat->SliceCol(collective::GetWorldSize(), collective::GetRank())};
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RegTree tree{n_targets, static_cast<bst_feature_t>(kCols)};
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TrainParam param;
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param.Init(Args{});
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updater->Configure(Args{});
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updater->Update(¶m, &gpair, sliced.get(), position, {&tree});
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Json json{Object{}};
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tree.SaveModel(&json);
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Json expected_json{Object{}};
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expected_tree.SaveModel(&expected_json);
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ASSERT_EQ(json, expected_json);
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};
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collective::TestDistributedGlobal(kWorldSize, [&] { verify(); });
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}
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} // namespace xgboost::tree
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