2c502784ff
* Add basic Span class based on ISO++20. * Use Span<Entry const> instead of Inst in SparsePage. * Add DeviceSpan in HostDeviceVector, use it in regression obj.
88 lines
3.1 KiB
C++
88 lines
3.1 KiB
C++
// Copyright by Contributors
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#include <xgboost/data.h>
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#include "../../../src/data/sparse_page_dmatrix.h"
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#include "../helpers.h"
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TEST(SparsePageDMatrix, MetaInfo) {
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std::string tmp_file = CreateSimpleTestData();
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", false, false);
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std::remove(tmp_file.c_str());
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std::cout << tmp_file << std::endl;
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EXPECT_TRUE(FileExists(tmp_file + ".cache"));
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// Test the metadata that was parsed
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EXPECT_EQ(dmat->Info().num_row_, 2);
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EXPECT_EQ(dmat->Info().num_col_, 5);
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EXPECT_EQ(dmat->Info().num_nonzero_, 6);
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EXPECT_EQ(dmat->Info().labels_.size(), dmat->Info().num_row_);
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// Clean up of external memory files
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std::remove((tmp_file + ".cache").c_str());
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std::remove((tmp_file + ".cache.row.page").c_str());
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}
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TEST(SparsePageDMatrix, RowAccess) {
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std::string tmp_file = CreateSimpleTestData();
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", true, false);
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std::remove(tmp_file.c_str());
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EXPECT_TRUE(FileExists(tmp_file + ".cache.row.page"));
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auto row_iter = dmat->RowIterator();
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// Loop over the batches and count the records
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long row_count = 0;
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row_iter->BeforeFirst();
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while (row_iter->Next()) row_count += row_iter->Value().Size();
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EXPECT_EQ(row_count, dmat->Info().num_row_);
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// Test the data read into the first row
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row_iter->BeforeFirst();
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row_iter->Next();
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auto first_row = row_iter->Value()[0];
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ASSERT_EQ(first_row.size(), 3);
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EXPECT_EQ(first_row[2].index, 2);
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EXPECT_EQ(first_row[2].fvalue, 20);
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row_iter = nullptr;
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// Clean up of external memory files
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std::remove((tmp_file + ".cache").c_str());
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std::remove((tmp_file + ".cache.row.page").c_str());
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}
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TEST(SparsePageDMatrix, ColAcess) {
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std::string tmp_file = CreateSimpleTestData();
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", true, false);
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std::remove(tmp_file.c_str());
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EXPECT_FALSE(FileExists(tmp_file + ".cache.col.page"));
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EXPECT_EQ(dmat->HaveColAccess(true), false);
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const std::vector<bool> enable(dmat->Info().num_col_, true);
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dmat->InitColAccess(1, true); // Max 1 row per patch
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ASSERT_EQ(dmat->HaveColAccess(true), true);
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EXPECT_TRUE(FileExists(tmp_file + ".cache.col.page"));
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EXPECT_EQ(dmat->GetColSize(0), 2);
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EXPECT_EQ(dmat->GetColSize(1), 1);
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EXPECT_EQ(dmat->GetColDensity(0), 1);
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EXPECT_EQ(dmat->GetColDensity(1), 0.5);
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auto col_iter = dmat->ColIterator();
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// Loop over the batches and assert the data is as expected
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long num_col_batch = 0;
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col_iter->BeforeFirst();
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while (col_iter->Next()) {
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num_col_batch += 1;
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EXPECT_EQ(col_iter->Value().Size(), dmat->Info().num_col_)
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<< "Expected batch size to be same as num_cols as max_row_perbatch is 1.";
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}
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EXPECT_EQ(num_col_batch, dmat->Info().num_row_)
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<< "Expected num batches to be same as num_rows as max_row_perbatch is 1";
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col_iter = nullptr;
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std::remove((tmp_file + ".cache").c_str());
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std::remove((tmp_file + ".cache.col.page").c_str());
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std::remove((tmp_file + ".cache.row.page").c_str());
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}
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