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