45 lines
1.6 KiB
C++
45 lines
1.6 KiB
C++
#include <gtest/gtest.h>
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#include <algorithm>
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#include "helpers.h"
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namespace xgboost {
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TEST(RandomDataGenerator, DMatrix) {
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size_t constexpr kRows { 16 }, kCols { 32 };
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float constexpr kSparsity { 0.4f };
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auto p_dmatrix = RandomDataGenerator{kRows, kCols, kSparsity}.GenerateDMatrix();
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HostDeviceVector<float> csr_value;
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HostDeviceVector<bst_row_t> csr_rptr;
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HostDeviceVector<bst_feature_t> csr_cidx;
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RandomDataGenerator{kRows, kCols, kSparsity}.GenerateCSR(&csr_value, &csr_rptr, &csr_cidx);
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HostDeviceVector<float> dense_data;
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RandomDataGenerator{kRows, kCols, kSparsity}.GenerateDense(&dense_data);
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auto it = std::copy_if(
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dense_data.HostVector().begin(), dense_data.HostVector().end(),
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dense_data.HostVector().begin(), [](float v) { return !std::isnan(v); });
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CHECK_EQ(p_dmatrix->Info().num_row_, kRows);
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CHECK_EQ(p_dmatrix->Info().num_col_, kCols);
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for (auto const& page : p_dmatrix->GetBatches<SparsePage>()) {
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size_t n_elements = page.data.Size();
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CHECK_EQ(n_elements, it - dense_data.HostVector().begin());
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CHECK_EQ(n_elements, csr_value.Size());
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for (size_t i = 0; i < n_elements; ++i) {
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CHECK_EQ(dense_data.HostVector()[i], csr_value.HostVector()[i]);
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CHECK_EQ(dense_data.HostVector()[i], page.data.HostVector()[i].fvalue);
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CHECK_EQ(page.data.HostVector()[i].index, csr_cidx.HostVector()[i]);
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}
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CHECK_EQ(page.offset.Size(), csr_rptr.Size());
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for (size_t i = 0; i < p_dmatrix->Info().num_row_; ++i) {
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CHECK_EQ(page.offset.HostVector()[i], csr_rptr.HostVector()[i]);
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}
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}
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}
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} // namespace xgboost
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