// Copyright by Contributors #include #include "../helpers.h" #include "../../../src/common/compressed_iterator.h" #include "../../../src/data/ellpack_page.cuh" #include "../../../src/data/sparse_page_dmatrix.h" namespace xgboost { TEST(SparsePageDMatrix, EllpackPage) { dmlc::TemporaryDirectory tempdir; const std::string tmp_file = tempdir.path + "/simple.libsvm"; CreateSimpleTestData(tmp_file); DMatrix* dmat = DMatrix::Load(tmp_file + "#" + tmp_file + ".cache", true, false); // Loop over the batches and assert the data is as expected size_t n = 0; for (const auto& batch : dmat->GetBatches({0, 256})) { n += batch.Size(); } EXPECT_EQ(n, dmat->Info().num_row_); auto path = data::MakeId(tmp_file + ".cache", dynamic_cast(dmat)) + ".row.page"; EXPECT_TRUE(FileExists(path)); path = data::MakeId(tmp_file + ".cache", dynamic_cast(dmat)) + ".ellpack.page"; EXPECT_TRUE(FileExists(path)); delete dmat; } TEST(SparsePageDMatrix, MultipleEllpackPages) { dmlc::TemporaryDirectory tmpdir; std::string filename = tmpdir.path + "/big.libsvm"; size_t constexpr kPageSize = 64, kEntriesPerCol = 3; size_t constexpr kEntries = kPageSize * kEntriesPerCol * 2; std::unique_ptr dmat = CreateSparsePageDMatrix(kEntries, filename); // Loop over the batches and count the records int64_t batch_count = 0; int64_t row_count = 0; for (const auto& batch : dmat->GetBatches({0, 256})) { EXPECT_LT(batch.Size(), dmat->Info().num_row_); batch_count++; row_count += batch.Size(); } EXPECT_GE(batch_count, 2); EXPECT_EQ(row_count, dmat->Info().num_row_); auto path = data::MakeId(filename, dynamic_cast(dmat.get())) + ".ellpack.page"; } TEST(SparsePageDMatrix, RetainEllpackPage) { auto m = CreateSparsePageDMatrix(10000); auto batches = m->GetBatches({0, 32}); auto begin = batches.begin(); auto end = batches.end(); std::vector> gidx_buffers; std::vector> iterators; for (auto it = begin; it != end; ++it) { iterators.push_back(it.Page()); gidx_buffers.emplace_back(HostDeviceVector{}); gidx_buffers.back().Resize((*it).Impl()->gidx_buffer.Size()); gidx_buffers.back().Copy((*it).Impl()->gidx_buffer); } ASSERT_GE(iterators.size(), 2); for (size_t i = 0; i < iterators.size(); ++i) { ASSERT_EQ((*iterators[i]).Impl()->gidx_buffer.HostVector(), gidx_buffers.at(i).HostVector()); if (i != iterators.size() - 1) { ASSERT_EQ(iterators[i].use_count(), 1); } else { // The last batch is still being held by sparse page DMatrix. ASSERT_EQ(iterators[i].use_count(), 2); } } // make sure it's const and the caller can not modify the content of page. for (auto& page : m->GetBatches({0, 32})) { static_assert(std::is_const>::value, ""); } // The above iteration clears out all references inside DMatrix. for (auto const& ptr : iterators) { ASSERT_TRUE(ptr.unique()); } } TEST(SparsePageDMatrix, EllpackPageContent) { constexpr size_t kRows = 6; constexpr size_t kCols = 2; constexpr size_t kPageSize = 1; // Create an in-memory DMatrix. std::unique_ptr dmat(CreateSparsePageDMatrixWithRC(kRows, kCols, 0, true)); // Create a DMatrix with multiple batches. dmlc::TemporaryDirectory tmpdir; std::unique_ptr dmat_ext(CreateSparsePageDMatrixWithRC(kRows, kCols, kPageSize, true, tmpdir)); BatchParam param{0, 2}; auto impl = (*dmat->GetBatches(param).begin()).Impl(); EXPECT_EQ(impl->base_rowid, 0); EXPECT_EQ(impl->n_rows, kRows); EXPECT_FALSE(impl->is_dense); EXPECT_EQ(impl->row_stride, 2); EXPECT_EQ(impl->Cuts().TotalBins(), 4); std::unique_ptr impl_ext; size_t offset = 0; for (auto& batch : dmat_ext->GetBatches(param)) { if (!impl_ext) { impl_ext.reset(new EllpackPageImpl( batch.Impl()->gidx_buffer.DeviceIdx(), batch.Impl()->Cuts(), batch.Impl()->is_dense, batch.Impl()->row_stride, kRows)); } auto n_elems = impl_ext->Copy(0, batch.Impl(), offset); offset += n_elems; } EXPECT_EQ(impl_ext->base_rowid, 0); EXPECT_EQ(impl_ext->n_rows, kRows); EXPECT_FALSE(impl_ext->is_dense); EXPECT_EQ(impl_ext->row_stride, 2); EXPECT_EQ(impl_ext->Cuts().TotalBins(), 4); std::vector buffer(impl->gidx_buffer.HostVector()); std::vector buffer_ext(impl_ext->gidx_buffer.HostVector()); EXPECT_EQ(buffer, buffer_ext); } struct ReadRowFunction { EllpackDeviceAccessor matrix; int row; bst_float* row_data_d; ReadRowFunction(EllpackDeviceAccessor matrix, int row, bst_float* row_data_d) : matrix(std::move(matrix)), row(row), row_data_d(row_data_d) {} __device__ void operator()(size_t col) { auto value = matrix.GetFvalue(row, col); if (isnan(value)) { value = -1; } row_data_d[col] = value; } }; TEST(SparsePageDMatrix, MultipleEllpackPageContent) { constexpr size_t kRows = 6; constexpr size_t kCols = 2; constexpr int kMaxBins = 256; constexpr size_t kPageSize = 1; // Create an in-memory DMatrix. std::unique_ptr dmat(CreateSparsePageDMatrixWithRC(kRows, kCols, 0, true)); // Create a DMatrix with multiple batches. dmlc::TemporaryDirectory tmpdir; std::unique_ptr dmat_ext(CreateSparsePageDMatrixWithRC(kRows, kCols, kPageSize, true, tmpdir)); BatchParam param{0, kMaxBins}; auto impl = (*dmat->GetBatches(param).begin()).Impl(); EXPECT_EQ(impl->base_rowid, 0); EXPECT_EQ(impl->n_rows, kRows); size_t current_row = 0; thrust::device_vector row_d(kCols); thrust::device_vector row_ext_d(kCols); std::vector row(kCols); std::vector row_ext(kCols); for (auto& page : dmat_ext->GetBatches(param)) { auto impl_ext = page.Impl(); EXPECT_EQ(impl_ext->base_rowid, current_row); for (size_t i = 0; i < impl_ext->Size(); i++) { dh::LaunchN(kCols, ReadRowFunction(impl->GetDeviceAccessor(0), current_row, row_d.data().get())); thrust::copy(row_d.begin(), row_d.end(), row.begin()); dh::LaunchN(kCols, ReadRowFunction(impl_ext->GetDeviceAccessor(0), current_row, row_ext_d.data().get())); thrust::copy(row_ext_d.begin(), row_ext_d.end(), row_ext.begin()); EXPECT_EQ(row, row_ext); current_row++; } } } TEST(SparsePageDMatrix, EllpackPageMultipleLoops) { constexpr size_t kRows = 1024; constexpr size_t kCols = 16; constexpr int kMaxBins = 256; constexpr size_t kPageSize = 4096; // Create an in-memory DMatrix. std::unique_ptr dmat(CreateSparsePageDMatrixWithRC(kRows, kCols, 0, true)); // Create a DMatrix with multiple batches. dmlc::TemporaryDirectory tmpdir; std::unique_ptr dmat_ext(CreateSparsePageDMatrixWithRC(kRows, kCols, kPageSize, true, tmpdir)); BatchParam param{0, kMaxBins}; size_t current_row = 0; for (auto& page : dmat_ext->GetBatches(param)) { auto impl_ext = page.Impl(); EXPECT_EQ(impl_ext->base_rowid, current_row); current_row += impl_ext->n_rows; } } } // namespace xgboost