#include "test_extmem_quantile_dmatrix.h"
#include <gtest/gtest.h>
#include <xgboost/data.h>
#include <algorithm>
#include "../../../src/common/column_matrix.h"
#include "../../../src/data/gradient_index.h"
#include "../../../src/tree/param.h"
namespace xgboost::data {
namespace {
class ExtMemQuantileDMatrixCpu : public ::testing::TestWithParam<float> {
public:
void Run(float sparsity) {
auto equal = [](Context const*, GHistIndexMatrix const& orig, GHistIndexMatrix const& sparse) {
auto orig_cuts = orig.Cuts();
auto sparse_cuts = sparse.Cuts();
ASSERT_EQ(orig_cuts.Values(), sparse_cuts.Values());
ASSERT_EQ(orig_cuts.MinValues(), sparse_cuts.MinValues());
ASSERT_EQ(orig_cuts.Ptrs(), sparse_cuts.Ptrs());
auto orig_ptr = orig.data.data();
auto sparse_ptr = sparse.data.data();
ASSERT_EQ(orig.data.size(), sparse.data.size());
auto equal = std::equal(orig_ptr, orig_ptr + orig.data.size(), sparse_ptr);
ASSERT_TRUE(equal);
common::ColumnMatrix const& orig_columns = orig.Transpose();
common::ColumnMatrix const& sparse_columns = sparse.Transpose();
std::string str_orig, str_sparse;
common::AlignedMemWriteStream fo_orig{&str_orig}, fo_sparse{&str_sparse};
auto n_bytes_orig = orig_columns.Write(&fo_orig);
auto n_bytes_sparse = sparse_columns.Write(&fo_sparse);
ASSERT_EQ(n_bytes_orig, n_bytes_sparse);
ASSERT_EQ(str_orig, str_sparse);
};
Context ctx;
TestExtMemQdmBasic<GHistIndexMatrix>(
&ctx, false, sparsity, equal, [](GHistIndexMatrix const& page) { return page.IsDense(); });
}
};
}
TEST_P(ExtMemQuantileDMatrixCpu, Basic) { this->Run(this->GetParam()); }
INSTANTIATE_TEST_SUITE_P(ExtMemQuantileDMatrix, ExtMemQuantileDMatrixCpu, ::testing::ValuesIn([] {
std::vector<float> sparsities{
0.0f, tree::TrainParam::DftSparseThreshold(), 0.4f, 0.8f};
return sparsities;
}()));
}