xgboost/tests/cpp/metric/test_elementwise_metric.cc
Jiaming Yuan 48dddfd635
Porting elementwise metrics to GPU. (#3952)
* Port elementwise metrics to GPU.

* All elementwise metrics are converted to static polymorphic.
* Create a reducer for metrics reduction.
* Remove const of Metric::Eval to accommodate CubMemory.
2018-12-01 18:46:45 +13:00

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4.0 KiB
C++

/*!
* Copyright 2018 XGBoost contributors
*/
#include <xgboost/metric.h>
#include <map>
#include "../helpers.h"
using Arg = std::pair<std::string, std::string>;
#if defined(__CUDACC__)
#define N_GPU() Arg{"n_gpus", "1"}
#else
#define N_GPU() Arg{"n_gpus", "0"}
#endif
TEST(Metric, DeclareUnifiedTest(RMSE)) {
xgboost::Metric * metric = xgboost::Metric::Create("rmse");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "rmse");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1},
{ 0, 1, 2, 3}),
0.6403f, 0.001f);
delete metric;
}
TEST(Metric, DeclareUnifiedTest(MAE)) {
xgboost::Metric * metric = xgboost::Metric::Create("mae");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "mae");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1}),
0.5f, 0.001f);
delete metric;
}
TEST(Metric, DeclareUnifiedTest(LogLoss)) {
xgboost::Metric * metric = xgboost::Metric::Create("logloss");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "logloss");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1}),
1.2039f, 0.001f);
delete metric;
}
TEST(Metric, DeclareUnifiedTest(Error)) {
xgboost::Metric * metric = xgboost::Metric::Create("error");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "error");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1}),
0.5f, 0.001f);
EXPECT_ANY_THROW(xgboost::Metric::Create("error@abc"));
delete metric;
metric = xgboost::Metric::Create("error@0.5f");
metric->Configure({N_GPU()});
EXPECT_STREQ(metric->Name(), "error");
delete metric;
metric = xgboost::Metric::Create("error@0.1");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "error@0.1");
EXPECT_STREQ(metric->Name(), "error@0.1");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.2f, 0.1f, 0.2f},
{ 0, 0, 1, 1}),
0.5f, 0.001f);
delete metric;
}
TEST(Metric, DeclareUnifiedTest(PoissionNegLogLik)) {
xgboost::Metric * metric = xgboost::Metric::Create("poisson-nloglik");
metric->Configure({N_GPU()});
ASSERT_STREQ(metric->Name(), "poisson-nloglik");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0.5f, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.2f, 0.1f, 0.2f},
{ 0, 0, 1, 1}),
1.1280f, 0.001f);
delete metric;
}
#if defined(XGBOOST_USE_NCCL) && defined(__CUDACC__)
TEST(Metric, MGPU_RMSE) {
{
xgboost::Metric * metric = xgboost::Metric::Create("rmse");
metric->Configure({Arg{"n_gpus", "-1"}});
ASSERT_STREQ(metric->Name(), "rmse");
EXPECT_NEAR(GetMetricEval(metric, {0}, {0}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1}),
0.6403f, 0.001f);
delete metric;
}
{
xgboost::Metric * metric = xgboost::Metric::Create("rmse");
metric->Configure({Arg{"n_gpus", "-1"}, Arg{"gpu_id", "1"}});
ASSERT_STREQ(metric->Name(), "rmse");
EXPECT_NEAR(GetMetricEval(metric, {0, 1}, {0, 1}), 0, 1e-10);
EXPECT_NEAR(GetMetricEval(metric,
{0.1f, 0.9f, 0.1f, 0.9f},
{ 0, 0, 1, 1}),
0.6403f, 0.001f);
delete metric;
}
}
#endif