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/*!
* Copyright 2017-2019 XGBoost contributors
*/
#include <gtest/gtest.h>
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wtautological-constant-compare"
#pragma GCC diagnostic ignored "-W#pragma-messages"
#include <xgboost/objective.h>
#pragma GCC diagnostic pop
#include <xgboost/context.h>
#include "../helpers.h"
#include "../objective/test_regression_obj.h"
namespace xgboost {
TEST(SyclObjective, LinearRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestLinearRegressionGPair(&ctx);
}
TEST(SyclObjective, SquaredLog) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestSquaredLog(&ctx);
}
TEST(SyclObjective, LogisticRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestLogisticRegressionGPair(&ctx);
}
TEST(SyclObjective, LogisticRegressionBasic) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestLogisticRegressionBasic(&ctx);
}
TEST(SyclObjective, LogisticRawGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestsLogisticRawGPair(&ctx);
}
TEST(SyclObjective, PoissonRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestPoissonRegressionGPair(&ctx);
}
TEST(SyclObjective, PoissonRegressionBasic) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestPoissonRegressionBasic(&ctx);
}
TEST(SyclObjective, GammaRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestGammaRegressionGPair(&ctx);
}
TEST(SyclObjective, GammaRegressionBasic) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestGammaRegressionBasic(&ctx);
}
TEST(SyclObjective, TweedieRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestTweedieRegressionGPair(&ctx);
}
TEST(SyclObjective, TweedieRegressionBasic) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestTweedieRegressionBasic(&ctx);
}
TEST(SyclObjective, CoxRegressionGPair) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestCoxRegressionGPair(&ctx);
}
TEST(SyclObjective, AbsoluteError) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestAbsoluteError(&ctx);
}
TEST(SyclObjective, AbsoluteErrorLeaf) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestAbsoluteErrorLeaf(&ctx);
}
TEST(SyclObjective, DeclareUnifiedTest(PseudoHuber)) {
Context ctx;
ctx.UpdateAllowUnknown(Args{{"device", "sycl"}});
TestPseudoHuber(&ctx);
}
TEST(SyclObjective, CPUvsSycl) {
Context ctx_sycl;
ctx_sycl.UpdateAllowUnknown(Args{{"device", "sycl"}});
ObjFunction * obj_sycl =
ObjFunction::Create("reg:squarederror", &ctx_sycl);
Context ctx_cpu;
ctx_cpu.UpdateAllowUnknown(Args{{"device", "cpu"}});
ObjFunction * obj_cpu =
ObjFunction::Create("reg:squarederror", &ctx_cpu);
linalg::Matrix<GradientPair> cpu_out_preds;
linalg::Matrix<GradientPair> sycl_out_preds;
constexpr size_t kRows = 400;
constexpr size_t kCols = 100;
auto pdmat = RandomDataGenerator(kRows, kCols, 0).Seed(0).GenerateDMatrix();
HostDeviceVector<float> preds;
preds.Resize(kRows);
auto& h_preds = preds.HostVector();
for (size_t i = 0; i < h_preds.size(); ++i) {
h_preds[i] = static_cast<float>(i);
}
auto& info = pdmat->Info();
info.labels.Reshape(kRows, 1);
auto& h_labels = info.labels.Data()->HostVector();
for (size_t i = 0; i < h_labels.size(); ++i) {
h_labels[i] = 1 / static_cast<float>(i+1);
}
{
// CPU
obj_cpu->GetGradient(preds, info, 0, &cpu_out_preds);
}
{
// sycl
obj_sycl->GetGradient(preds, info, 0, &sycl_out_preds);
}
auto h_cpu_out = cpu_out_preds.HostView();
auto h_sycl_out = sycl_out_preds.HostView();
float sgrad = 0;
float shess = 0;
for (size_t i = 0; i < kRows; ++i) {
sgrad += std::pow(h_cpu_out(i).GetGrad() - h_sycl_out(i).GetGrad(), 2);
shess += std::pow(h_cpu_out(i).GetHess() - h_sycl_out(i).GetHess(), 2);
}
ASSERT_NEAR(sgrad, 0.0f, kRtEps);
ASSERT_NEAR(shess, 0.0f, kRtEps);
delete obj_cpu;
delete obj_sycl;
}
} // namespace xgboost
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