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