Implement transform to reduce CPU/GPU code duplication. (#3643)
* Implement Transform class. * Add tests for softmax. * Use Transform in regression, softmax and hinge objectives, except for Cox. * Mark old gpu objective functions deprecated. * static_assert for softmax. * Split up multi-gpu tests.
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committed by
Rory Mitchell
parent
87aca8c244
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d594b11f35
@@ -1,9 +1,11 @@
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// Copyright by Contributors
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/*!
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* Copyright 2017-2018 XGBoost contributors
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*/
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#include <xgboost/objective.h>
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#include "../helpers.h"
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TEST(Objective, LinearRegressionGPair) {
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TEST(Objective, DeclareUnifiedTest(LinearRegressionGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:linear");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -13,27 +15,32 @@ TEST(Objective, LinearRegressionGPair) {
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{1, 1, 1, 1, 1, 1, 1, 1},
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{0, 0.1f, 0.9f, 1.0f, -1.0f, -0.9f, -0.1f, 0},
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{1, 1, 1, 1, 1, 1, 1, 1});
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CheckObjFunction(obj,
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{0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1},
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{0, 0, 0, 0, 1, 1, 1, 1},
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{}, // empty weight
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{0, 0.1f, 0.9f, 1.0f, -1.0f, -0.9f, -0.1f, 0},
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{1, 1, 1, 1, 1, 1, 1, 1});
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ASSERT_NO_THROW(obj->DefaultEvalMetric());
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delete obj;
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}
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TEST(Objective, LogisticRegressionGPair) {
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TEST(Objective, DeclareUnifiedTest(LogisticRegressionGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:logistic");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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CheckObjFunction(obj,
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{ 0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1},
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{ 0, 0, 0, 0, 1, 1, 1, 1},
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{ 1, 1, 1, 1, 1, 1, 1, 1},
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{ 0.5f, 0.52f, 0.71f, 0.73f, -0.5f, -0.47f, -0.28f, -0.26f},
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{0.25f, 0.24f, 0.20f, 0.19f, 0.25f, 0.24f, 0.20f, 0.19f});
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{ 0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1}, // preds
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{ 0, 0, 0, 0, 1, 1, 1, 1}, // labels
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{ 1, 1, 1, 1, 1, 1, 1, 1}, // weights
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{ 0.5f, 0.52f, 0.71f, 0.73f, -0.5f, -0.47f, -0.28f, -0.26f}, // out_grad
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{0.25f, 0.24f, 0.20f, 0.19f, 0.25f, 0.24f, 0.20f, 0.19f}); // out_hess
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delete obj;
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}
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TEST(Objective, LogisticRegressionBasic) {
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TEST(Objective, DeclareUnifiedTest(LogisticRegressionBasic)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:logistic");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -61,7 +68,7 @@ TEST(Objective, LogisticRegressionBasic) {
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delete obj;
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}
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TEST(Objective, LogisticRawGPair) {
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TEST(Objective, DeclareUnifiedTest(LogisticRawGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("binary:logitraw");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -75,7 +82,7 @@ TEST(Objective, LogisticRawGPair) {
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delete obj;
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}
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TEST(Objective, PoissonRegressionGPair) {
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TEST(Objective, DeclareUnifiedTest(PoissonRegressionGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("count:poisson");
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std::vector<std::pair<std::string, std::string> > args;
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args.push_back(std::make_pair("max_delta_step", "0.1f"));
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@@ -86,11 +93,16 @@ TEST(Objective, PoissonRegressionGPair) {
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{ 1, 1, 1, 1, 1, 1, 1, 1},
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{ 1, 1.10f, 2.45f, 2.71f, 0, 0.10f, 1.45f, 1.71f},
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{1.10f, 1.22f, 2.71f, 3.00f, 1.10f, 1.22f, 2.71f, 3.00f});
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CheckObjFunction(obj,
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{ 0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1},
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{ 0, 0, 0, 0, 1, 1, 1, 1},
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{}, // Empty weight
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{ 1, 1.10f, 2.45f, 2.71f, 0, 0.10f, 1.45f, 1.71f},
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{1.10f, 1.22f, 2.71f, 3.00f, 1.10f, 1.22f, 2.71f, 3.00f});
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delete obj;
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}
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TEST(Objective, PoissonRegressionBasic) {
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TEST(Objective, DeclareUnifiedTest(PoissonRegressionBasic)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("count:poisson");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -116,7 +128,7 @@ TEST(Objective, PoissonRegressionBasic) {
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delete obj;
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}
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TEST(Objective, GammaRegressionGPair) {
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TEST(Objective, DeclareUnifiedTest(GammaRegressionGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:gamma");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -126,11 +138,16 @@ TEST(Objective, GammaRegressionGPair) {
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{1, 1, 1, 1, 1, 1, 1, 1},
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{1, 1, 1, 1, 0, 0.09f, 0.59f, 0.63f},
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{0, 0, 0, 0, 1, 0.90f, 0.40f, 0.36f});
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CheckObjFunction(obj,
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{0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1},
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{0, 0, 0, 0, 1, 1, 1, 1},
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{}, // Empty weight
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{1, 1, 1, 1, 0, 0.09f, 0.59f, 0.63f},
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{0, 0, 0, 0, 1, 0.90f, 0.40f, 0.36f});
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delete obj;
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}
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TEST(Objective, GammaRegressionBasic) {
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TEST(Objective, DeclareUnifiedTest(GammaRegressionBasic)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:gamma");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -156,7 +173,7 @@ TEST(Objective, GammaRegressionBasic) {
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delete obj;
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}
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TEST(Objective, TweedieRegressionGPair) {
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TEST(Objective, DeclareUnifiedTest(TweedieRegressionGPair)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:tweedie");
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std::vector<std::pair<std::string, std::string> > args;
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args.push_back(std::make_pair("tweedie_variance_power", "1.1f"));
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@@ -167,11 +184,17 @@ TEST(Objective, TweedieRegressionGPair) {
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{ 1, 1, 1, 1, 1, 1, 1, 1},
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{ 1, 1.09f, 2.24f, 2.45f, 0, 0.10f, 1.33f, 1.55f},
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{0.89f, 0.98f, 2.02f, 2.21f, 1, 1.08f, 2.11f, 2.30f});
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CheckObjFunction(obj,
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{ 0, 0.1f, 0.9f, 1, 0, 0.1f, 0.9f, 1},
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{ 0, 0, 0, 0, 1, 1, 1, 1},
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{}, // Empty weight.
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{ 1, 1.09f, 2.24f, 2.45f, 0, 0.10f, 1.33f, 1.55f},
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{0.89f, 0.98f, 2.02f, 2.21f, 1, 1.08f, 2.11f, 2.30f});
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delete obj;
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}
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TEST(Objective, TweedieRegressionBasic) {
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TEST(Objective, DeclareUnifiedTest(TweedieRegressionBasic)) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("reg:tweedie");
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std::vector<std::pair<std::string, std::string> > args;
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obj->Configure(args);
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@@ -197,6 +220,9 @@ TEST(Objective, TweedieRegressionBasic) {
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delete obj;
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}
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// CoxRegression not implemented in GPU code, no need for testing.
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#if !defined(__CUDACC__)
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TEST(Objective, CoxRegressionGPair) {
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xgboost::ObjFunction * obj = xgboost::ObjFunction::Create("survival:cox");
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std::vector<std::pair<std::string, std::string> > args;
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@@ -210,3 +236,4 @@ TEST(Objective, CoxRegressionGPair) {
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delete obj;
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}
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#endif
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