xgboost/tests/cpp/data/test_proxy_dmatrix.cu
2023-10-30 21:54:00 -07:00

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/**
* Copyright 2020-2023 XGBoost contributors
*/
#include <gtest/gtest.h>
#include <xgboost/host_device_vector.h>
#include <any> // for any_cast
#include <memory>
#include "../../../src/data/device_adapter.cuh"
#include "../../../src/data/proxy_dmatrix.h"
#include "../helpers.h"
namespace xgboost::data {
TEST(ProxyDMatrix, DeviceData) {
constexpr size_t kRows{100}, kCols{100};
HostDeviceVector<float> storage;
auto data = RandomDataGenerator(kRows, kCols, 0.5).Device(0).GenerateArrayInterface(&storage);
std::vector<HostDeviceVector<float>> label_storage(1);
auto labels =
RandomDataGenerator(kRows, 1, 0).Device(0).GenerateColumnarArrayInterface(&label_storage);
DMatrixProxy proxy;
proxy.SetCUDAArray(data.c_str());
proxy.SetInfo("label", labels.c_str());
ASSERT_EQ(proxy.Adapter().type(), typeid(std::shared_ptr<CupyAdapter>));
ASSERT_EQ(proxy.Info().labels.Size(), kRows);
ASSERT_EQ(std::any_cast<std::shared_ptr<CupyAdapter>>(proxy.Adapter())->NumRows(), kRows);
ASSERT_EQ(std::any_cast<std::shared_ptr<CupyAdapter>>(proxy.Adapter())->NumColumns(), kCols);
std::vector<HostDeviceVector<float>> columnar_storage(kCols);
data = RandomDataGenerator(kRows, kCols, 0)
.Device(0)
.GenerateColumnarArrayInterface(&columnar_storage);
proxy.SetCUDAArray(data.c_str());
ASSERT_EQ(proxy.Adapter().type(), typeid(std::shared_ptr<CudfAdapter>));
ASSERT_EQ(std::any_cast<std::shared_ptr<CudfAdapter>>(proxy.Adapter())->NumRows(), kRows);
ASSERT_EQ(std::any_cast<std::shared_ptr<CudfAdapter>>(proxy.Adapter())->NumColumns(), kCols);
}
} // namespace xgboost::data