36 lines
1011 B
Plaintext
36 lines
1011 B
Plaintext
// Copyright by Contributors
|
|
#include <xgboost/linear_updater.h>
|
|
#include <xgboost/gbm.h>
|
|
|
|
#include "../helpers.h"
|
|
#include "test_json_io.h"
|
|
#include "../../../src/gbm/gblinear_model.h"
|
|
|
|
namespace xgboost {
|
|
|
|
TEST(Linear, GPUCoordinate) {
|
|
size_t constexpr kRows = 10;
|
|
size_t constexpr kCols = 10;
|
|
|
|
auto mat = xgboost::RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
|
|
auto ctx = MakeCUDACtx(0);
|
|
|
|
LearnerModelParam mparam{MakeMP(kCols, .5, 1)};
|
|
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
|
|
xgboost::LinearUpdater::Create("gpu_coord_descent", &ctx));
|
|
updater->Configure({{"eta", "1."}});
|
|
xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
|
|
mat->Info().num_row_, xgboost::GradientPair(-5, 1.0));
|
|
xgboost::gbm::GBLinearModel model{&mparam};
|
|
|
|
model.LazyInitModel();
|
|
updater->Update(&gpair, mat.get(), &model, gpair.Size());
|
|
|
|
ASSERT_EQ(model.Bias()[0], 5.0f);
|
|
}
|
|
|
|
TEST(GPUCoordinate, JsonIO) {
|
|
TestUpdaterJsonIO("gpu_coord_descent");
|
|
}
|
|
} // namespace xgboost
|