// Copyright by Contributors #include #include #include TEST(c_api, XGDMatrixCreateFromMatDT) { std::vector col0 = {0, -1, 3}; std::vector col1 = {-4.0f, 2.0f, 0.0f}; const char *col0_type = "int32"; const char *col1_type = "float32"; std::vector data = {col0.data(), col1.data()}; std::vector types = {col0_type, col1_type}; DMatrixHandle handle; XGDMatrixCreateFromDT(data.data(), types.data(), 3, 2, &handle, 0); std::shared_ptr *dmat = static_cast *>(handle); xgboost::MetaInfo &info = (*dmat)->Info(); ASSERT_EQ(info.num_col_, 2); ASSERT_EQ(info.num_row_, 3); ASSERT_EQ(info.num_nonzero_, 6); for (const auto &batch : (*dmat)->GetRowBatches()) { ASSERT_EQ(batch[0][0].fvalue, 0.0f); ASSERT_EQ(batch[0][1].fvalue, -4.0f); ASSERT_EQ(batch[2][0].fvalue, 3.0f); ASSERT_EQ(batch[2][1].fvalue, 0.0f); } delete dmat; } TEST(c_api, XGDMatrixCreateFromMat_omp) { std::vector num_rows = {100, 11374, 15000}; for (auto row : num_rows) { int num_cols = 50; int num_missing = 5; DMatrixHandle handle; std::vector data(num_cols * row, 1.5); for (int i = 0; i < num_missing; i++) { data[i] = std::numeric_limits::quiet_NaN(); } XGDMatrixCreateFromMat_omp(data.data(), row, num_cols, std::numeric_limits::quiet_NaN(), &handle, 0); std::shared_ptr *dmat = static_cast *>(handle); xgboost::MetaInfo &info = (*dmat)->Info(); ASSERT_EQ(info.num_col_, num_cols); ASSERT_EQ(info.num_row_, row); ASSERT_EQ(info.num_nonzero_, num_cols * row - num_missing); for (const auto &batch : (*dmat)->GetRowBatches()) { for (int i = 0; i < batch.Size(); i++) { auto inst = batch[i]; for (int j = 0; i < inst.size(); i++) { ASSERT_EQ(inst[j].fvalue, 1.5); } } } delete dmat; } }