85b2fb3eee
* Integrating a faster version of grow_gpu plugin 1. Removed the older files to reduce duplication 2. Moved all of the grow_gpu files under 'exact' folder 3. All of them are inside 'exact' namespace to avoid any conflicts 4. Fixed a bug in benchmark.py while running only 'grow_gpu' plugin 5. Added cub and googletest submodules to ease integration and unit-testing 6. Updates to CMakeLists.txt to directly build cuda objects into libxgboost * Added support for building gpu plugins through make flow 1. updated makefile and config.mk to add right targets 2. added unit-tests for gpu exact plugin code * 1. Added support for building gpu plugin using 'make' flow as well 2. Updated instructions for building and testing gpu plugin * Fix travis-ci errors for PR#2360 1. lint errors on unit-tests 2. removed googletest, instead depended upon dmlc-core provide gtest cache * Some more fixes to travis-ci lint failures PR#2360 * Added Rory's copyrights to the files containing code from both. * updated copyright statement as per Rory's request * moved the static datasets into a script to generate them at runtime * 1. memory usage print when silent=0 2. tests/ and test/ folder organization 3. removal of the dependency of googletest for just building xgboost 4. coding style updates for .cuh as well * Fixes for compilation warnings * add cuda object files as well when JVM_BINDINGS=ON
63 lines
1.9 KiB
C++
63 lines
1.9 KiB
C++
#include "./helpers.h"
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std::string TempFileName() {
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return std::tmpnam(nullptr);
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}
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bool FileExists(const std::string name) {
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struct stat st;
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return stat(name.c_str(), &st) == 0;
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}
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long GetFileSize(const std::string filename) {
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struct stat st;
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stat(filename.c_str(), &st);
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return st.st_size;
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}
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std::string CreateSimpleTestData() {
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std::string tmp_file = TempFileName();
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std::ofstream fo;
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fo.open(tmp_file);
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fo << "0 0:0 1:10 2:20\n";
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fo << "1 0:0 3:30 4:40\n";
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fo.close();
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return tmp_file;
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}
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void CheckObjFunction(xgboost::ObjFunction * obj,
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std::vector<xgboost::bst_float> preds,
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std::vector<xgboost::bst_float> labels,
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std::vector<xgboost::bst_float> weights,
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std::vector<xgboost::bst_float> out_grad,
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std::vector<xgboost::bst_float> out_hess) {
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xgboost::MetaInfo info;
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info.num_row = labels.size();
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info.labels = labels;
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info.weights = weights;
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std::vector<xgboost::bst_gpair> gpair;
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obj->GetGradient(preds, info, 1, &gpair);
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ASSERT_EQ(gpair.size(), preds.size());
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for (int i = 0; i < static_cast<int>(gpair.size()); ++i) {
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EXPECT_NEAR(gpair[i].grad, out_grad[i], 0.01)
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<< "Unexpected grad for pred=" << preds[i] << " label=" << labels[i]
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<< " weight=" << weights[i];
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EXPECT_NEAR(gpair[i].hess, out_hess[i], 0.01)
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<< "Unexpected hess for pred=" << preds[i] << " label=" << labels[i]
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<< " weight=" << weights[i];
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}
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}
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xgboost::bst_float GetMetricEval(xgboost::Metric * metric,
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std::vector<xgboost::bst_float> preds,
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std::vector<xgboost::bst_float> labels,
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std::vector<xgboost::bst_float> weights) {
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xgboost::MetaInfo info;
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info.num_row = labels.size();
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info.labels = labels;
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info.weights = weights;
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return metric->Eval(preds, info, false);
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}
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