60 lines
2.3 KiB
C++
60 lines
2.3 KiB
C++
/*!
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* Copyright 2022 XGBoost contributors
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*/
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#pragma once
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#include <memory> // std::make_shared
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#include "../../../src/data/iterative_dmatrix.h"
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#include "../helpers.h"
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namespace xgboost {
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namespace data {
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template <typename Page, typename Iter, typename Cuts>
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void TestRefDMatrix(Cuts&& get_cuts) {
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int n_bins = 256;
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Iter iter(0.3, 2048);
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auto m = std::make_shared<IterativeDMatrix>(&iter, iter.Proxy(), nullptr, Reset, Next,
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std::numeric_limits<float>::quiet_NaN(), 0, n_bins);
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Iter iter_1(0.8, 32, Iter::Cols(), 13);
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auto m_1 = std::make_shared<IterativeDMatrix>(&iter_1, iter_1.Proxy(), m, Reset, Next,
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std::numeric_limits<float>::quiet_NaN(), 0, n_bins);
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for (auto const& page_0 : m->template GetBatches<Page>({})) {
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for (auto const& page_1 : m_1->template GetBatches<Page>({})) {
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auto const& cuts_0 = get_cuts(page_0);
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auto const& cuts_1 = get_cuts(page_1);
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ASSERT_EQ(cuts_0.Values(), cuts_1.Values());
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ASSERT_EQ(cuts_0.Ptrs(), cuts_1.Ptrs());
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ASSERT_EQ(cuts_0.MinValues(), cuts_1.MinValues());
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}
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}
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m_1 = std::make_shared<IterativeDMatrix>(&iter_1, iter_1.Proxy(), nullptr, Reset, Next,
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std::numeric_limits<float>::quiet_NaN(), 0, n_bins);
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for (auto const& page_0 : m->template GetBatches<Page>({})) {
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for (auto const& page_1 : m_1->template GetBatches<Page>({})) {
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auto const& cuts_0 = get_cuts(page_0);
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auto const& cuts_1 = get_cuts(page_1);
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ASSERT_NE(cuts_0.Values(), cuts_1.Values());
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ASSERT_NE(cuts_0.Ptrs(), cuts_1.Ptrs());
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}
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}
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// Use DMatrix as ref
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auto dm = RandomDataGenerator(2048, Iter::Cols(), 0.5).GenerateDMatrix(true);
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auto dqm = std::make_shared<IterativeDMatrix>(&iter_1, iter_1.Proxy(), dm, Reset, Next,
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std::numeric_limits<float>::quiet_NaN(), 0, n_bins);
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for (auto const& page_0 : dm->template GetBatches<Page>({})) {
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for (auto const& page_1 : dqm->template GetBatches<Page>({})) {
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auto const& cuts_0 = get_cuts(page_0);
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auto const& cuts_1 = get_cuts(page_1);
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ASSERT_EQ(cuts_0.Values(), cuts_1.Values());
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ASSERT_EQ(cuts_0.Ptrs(), cuts_1.Ptrs());
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ASSERT_EQ(cuts_0.MinValues(), cuts_1.MinValues());
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}
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}
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}
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} // namespace data
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} // namespace xgboost
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