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Fix external memory for get column batches. (#4622)

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* Fix external memory for get column batches.

This fixes two bugs:

* Use PushCSC for get column batches.
* Don't remove the created temporary directory before finishing test.

* Check all pages.
This commit is contained in:
Jiaming Yuan 2019-06-30 09:56:49 +08:00 committed by GitHub
parent a30176907f
commit 45876bf41b
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GPG Key ID: 4AEE18F83AFDEB23
14 changed files with 90 additions and 46 deletions
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12
include/xgboost/data.h
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@ -265,17 +265,7 @@ class SparsePage {
* \brief Push one instance into page
* \param inst an instance row
*/
inline void Push(const Inst &inst) {
auto& data_vec = data.HostVector();
auto& offset_vec = offset.HostVector();
offset_vec.push_back(offset_vec.back() + inst.size());
size_t begin = data_vec.size();
data_vec.resize(begin + inst.size());
if (inst.size() != 0) {
std::memcpy(dmlc::BeginPtr(data_vec) + begin, inst.data(),
sizeof(Entry) * inst.size());
}
}
void Push(const Inst &inst);
size_t Size() { return offset.Size() - 1; }
};

12
src/data/data.cc
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@ -412,6 +412,18 @@ void SparsePage::PushCSC(const SparsePage &batch) {
self_offset = std::move(offset);
}
void SparsePage::Push(const Inst &inst) {
auto& data_vec = data.HostVector();
auto& offset_vec = offset.HostVector();
offset_vec.push_back(offset_vec.back() + inst.size());
size_t begin = data_vec.size();
data_vec.resize(begin + inst.size());
if (inst.size() != 0) {
std::memcpy(dmlc::BeginPtr(data_vec) + begin, inst.data(),
sizeof(Entry) * inst.size());
}
}
namespace data {
// List of files that will be force linked in static links.
DMLC_REGISTRY_LINK_TAG(sparse_page_raw_format);

2
src/data/simple_dmatrix.h
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@ -20,7 +20,7 @@
namespace xgboost {
namespace data {
// Used for single batch data.
class SimpleDMatrix : public DMatrix {
public:
explicit SimpleDMatrix(std::unique_ptr<DataSource>&& source)

2
src/data/sparse_page_dmatrix.h
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@ -18,7 +18,7 @@
namespace xgboost {
namespace data {
// Used for external memory.
class SparsePageDMatrix : public DMatrix {
public:
explicit SparsePageDMatrix(std::unique_ptr<DataSource>&& source,

8
src/data/sparse_page_source.cc
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@ -221,7 +221,7 @@ void SparsePageSource::CreateRowPage(dmlc::Parser<uint32_t>* src,
CHECK(info.qids_.empty() || info.qids_.size() == info.num_row_);
info.SaveBinary(fo.get());
}
LOG(CONSOLE) << "SparsePageSource::CreateRowPage Finished writing to "
LOG(INFO) << "SparsePageSource::CreateRowPage Finished writing to "
<< name_info;
}
@ -251,7 +251,7 @@ void SparsePageSource::CreatePageFromDMatrix(DMatrix* src,
if (page_type == ".row.page") {
page->Push(batch);
} else if (page_type == ".col.page") {
page->Push(batch.GetTranspose(src->Info().num_col_));
page->PushCSC(batch.GetTranspose(src->Info().num_col_));
} else if (page_type == ".sorted.col.page") {
SparsePage tmp = batch.GetTranspose(src->Info().num_col_);
page->PushCSC(tmp);
@ -266,7 +266,7 @@ void SparsePageSource::CreatePageFromDMatrix(DMatrix* src,
writer.Alloc(&page);
page->Clear();
double tdiff = dmlc::GetTime() - tstart;
LOG(CONSOLE) << "Writing to " << cache_info << " in "
LOG(INFO) << "Writing to " << cache_info << " in "
<< ((bytes_write >> 20UL) / tdiff) << " MB/s, "
<< (bytes_write >> 20UL) << " written";
}
@ -281,7 +281,7 @@ void SparsePageSource::CreatePageFromDMatrix(DMatrix* src,
fo->Write(&tmagic, sizeof(tmagic));
info.SaveBinary(fo.get());
}
LOG(CONSOLE) << "SparsePageSource: Finished writing to " << name_info;
LOG(INFO) << "SparsePageSource: Finished writing to " << name_info;
}
void SparsePageSource::CreateRowPage(DMatrix* src,

2
src/data/sparse_page_writer.cc
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@ -39,7 +39,7 @@ SparsePageWriter::SparsePageWriter(
qrecycle_.Push(std::move(page));
}
fo.reset(nullptr);
LOG(CONSOLE) << "SparsePage::Writer Finished writing to " << name_shard;
LOG(INFO) << "SparsePage::Writer Finished writing to " << name_shard;
}));
}
}

12
tests/cpp/common/test_column_matrix.cc
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@ -1,6 +1,9 @@
#include <dmlc/filesystem.h>
#include <gtest/gtest.h>
#include "../../../src/common/column_matrix.h"
#include "../helpers.h"
#include "gtest/gtest.h"
namespace xgboost {
namespace common {
@ -51,10 +54,11 @@ TEST(DenseColumnWithMissing, Test) {
delete dmat;
}
void
TestGHistIndexMatrixCreation(size_t nthreads) {
void TestGHistIndexMatrixCreation(size_t nthreads) {
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
/* This should create multiple sparse pages */
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(1024, 1024);
std::unique_ptr<DMatrix> dmat{ CreateSparsePageDMatrix(1024, 1024, filename) };
omp_set_num_threads(nthreads);
GHistIndexMatrix gmat;
gmat.Init(dmat.get(), 256);

8
tests/cpp/common/test_gpu_hist_util.cu
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@ -1,7 +1,9 @@
#include <dmlc/filesystem.h>
#include <gtest/gtest.h>
#include <algorithm>
#include <cmath>
#include "gtest/gtest.h"
#include <thrust/device_vector.h>
#include <thrust/iterator/counting_iterator.h>
@ -22,8 +24,10 @@ void TestDeviceSketch(const GPUSet& devices, bool use_external_memory) {
std::shared_ptr<xgboost::DMatrix> *dmat = nullptr;
size_t num_cols = 1;
dmlc::TemporaryDirectory tmpdir;
std::string file = tmpdir.path + "/big.libsvm";
if (use_external_memory) {
auto sp_dmat = CreateSparsePageDMatrix(nrows * 3, 128UL); // 3 entries/row
auto sp_dmat = CreateSparsePageDMatrix(nrows * 3, 128UL, file); // 3 entries/row
dmat = new std::shared_ptr<xgboost::DMatrix>(std::move(sp_dmat));
num_cols = 5;
} else {

8
tests/cpp/data/test_data.cc
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@ -1,4 +1,5 @@
#include <gtest/gtest.h>
#include <dmlc/filesystem.h>
#include <vector>
#include "xgboost/data.h"
@ -55,8 +56,11 @@ TEST(SparsePage, PushCSC) {
}
TEST(SparsePage, PushCSCAfterTranspose) {
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
const int n_entries = 9;
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(n_entries, 64UL);
std::unique_ptr<DMatrix> dmat =
CreateSparsePageDMatrix(n_entries, 64UL, filename);
const int ncols = dmat->Info().num_col_;
SparsePage page; // Consolidated sparse page
for (const auto &batch : dmat->GetRowBatches()) {
@ -70,7 +74,7 @@ TEST(SparsePage, PushCSCAfterTranspose) {
// The feature value for a feature in each row should be identical, as that is
// how the dmatrix has been created
for (int i = 0; i < page.Size(); ++i) {
for (size_t i = 0; i < page.Size(); ++i) {
auto inst = page[i];
for (int j = 1; j < inst.size(); ++j) {
ASSERT_EQ(inst[0].fvalue, inst[j].fvalue);

22
tests/cpp/data/test_sparse_page_dmatrix.cc
View File

@ -1,4 +1,5 @@
// Copyright by Contributors
#include <dmlc/filesystem.h>
#include <xgboost/data.h>
#include <dmlc/filesystem.h>
#include <cinttypes>
@ -26,7 +27,10 @@ TEST(SparsePageDMatrix, MetaInfo) {
}
TEST(SparsePageDMatrix, RowAccess) {
std::unique_ptr<xgboost::DMatrix> dmat = xgboost::CreateSparsePageDMatrix(12, 64);
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
std::unique_ptr<xgboost::DMatrix> dmat =
xgboost::CreateSparsePageDMatrix(12, 64, filename);
// Test the data read into the first row
auto &batch = *dmat->GetRowBatches().begin();
@ -67,3 +71,19 @@ TEST(SparsePageDMatrix, ColAccess) {
delete dmat;
}
// Multi-batches access
TEST(SparsePageDMatrix, ColAccessBatches) {
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
// Create multiple sparse pages
std::unique_ptr<xgboost::DMatrix> dmat {
xgboost::CreateSparsePageDMatrix(1024, 1024, filename)
};
auto n_threads = omp_get_max_threads();
omp_set_num_threads(16);
for (auto const& page : dmat->GetColumnBatches()) {
ASSERT_EQ(dmat->Info().num_col_, page.Size());
}
omp_set_num_threads(n_threads);
}

17
tests/cpp/helpers.cc
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@ -1,11 +1,13 @@
/*!
* Copyright 2016-2018 XGBoost contributors
*/
#include "./helpers.h"
#include "xgboost/c_api.h"
#include <dmlc/filesystem.h>
#include <xgboost/logging.h>
#include <random>
#include <cinttypes>
#include <dmlc/filesystem.h>
#include "./helpers.h"
#include "xgboost/c_api.h"
#include "../../src/data/simple_csr_source.h"
bool FileExists(const std::string& filename) {
@ -144,13 +146,12 @@ std::shared_ptr<xgboost::DMatrix>* CreateDMatrix(int rows, int columns,
return static_cast<std::shared_ptr<xgboost::DMatrix> *>(handle);
}
std::unique_ptr<DMatrix> CreateSparsePageDMatrix(size_t n_entries, size_t page_size) {
std::unique_ptr<DMatrix> CreateSparsePageDMatrix(
size_t n_entries, size_t page_size, std::string tmp_file) {
// Create sufficiently large data to make two row pages
dmlc::TemporaryDirectory tempdir;
const std::string tmp_file = tempdir.path + "/big.libsvm";
CreateBigTestData(tmp_file, n_entries);
std::unique_ptr<DMatrix> dmat = std::unique_ptr<DMatrix>(DMatrix::Load(
tmp_file + "#" + tmp_file + ".cache", true, false, "auto", page_size));
std::unique_ptr<DMatrix> dmat { DMatrix::Load(
tmp_file + "#" + tmp_file + ".cache", true, false, "auto", page_size)};
EXPECT_TRUE(FileExists(tmp_file + ".cache.row.page"));
// Loop over the batches and count the records

3
tests/cpp/helpers.h
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@ -163,7 +163,8 @@ class SimpleRealUniformDistribution {
std::shared_ptr<xgboost::DMatrix> *CreateDMatrix(int rows, int columns,
float sparsity, int seed = 0);
std::unique_ptr<DMatrix> CreateSparsePageDMatrix(size_t n_entries, size_t page_size);
std::unique_ptr<DMatrix> CreateSparsePageDMatrix(
size_t n_entries, size_t page_size, std::string tmp_file);
/**
* \fn std::unique_ptr<DMatrix> CreateSparsePageDMatrixWithRC(size_t n_rows, size_t n_cols,

4
tests/cpp/predictor/test_cpu_predictor.cc
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@ -56,7 +56,9 @@ TEST(cpu_predictor, Test) {
}
TEST(cpu_predictor, ExternalMemoryTest) {
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(12, 64);
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(12, 64, filename);
auto lparam = CreateEmptyGenericParam(0, 0);
std::unique_ptr<Predictor> cpu_predictor =
std::unique_ptr<Predictor>(Predictor::Create("cpu_predictor", &lparam));

14
tests/cpp/predictor/test_gpu_predictor.cu
View File

@ -97,7 +97,9 @@ TEST(gpu_predictor, ExternalMemoryTest) {
gbm::GBTreeModel model = CreateTestModel();
int n_col = 3;
model.param.num_feature = n_col;
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(32, 64);
dmlc::TemporaryDirectory tmpdir;
std::string filename = tmpdir.path + "/big.libsvm";
std::unique_ptr<DMatrix> dmat = CreateSparsePageDMatrix(32, 64, filename);
// Test predict batch
HostDeviceVector<float> out_predictions;
@ -268,9 +270,13 @@ TEST(gpu_predictor, MGPU_ExternalMemoryTest) {
const int n_classes = 3;
model.param.num_output_group = n_classes;
std::vector<std::unique_ptr<DMatrix>> dmats;
dmats.push_back(CreateSparsePageDMatrix(9, 64UL));
dmats.push_back(CreateSparsePageDMatrix(128, 128UL));
dmats.push_back(CreateSparsePageDMatrix(1024, 1024UL));
dmlc::TemporaryDirectory tmpdir;
std::string file0 = tmpdir.path + "/big_0.libsvm";
std::string file1 = tmpdir.path + "/big_1.libsvm";
std::string file2 = tmpdir.path + "/big_2.libsvm";
dmats.push_back(CreateSparsePageDMatrix(9, 64UL, file0));
dmats.push_back(CreateSparsePageDMatrix(128, 128UL, file1));
dmats.push_back(CreateSparsePageDMatrix(1024, 1024UL, file2));
for (const auto& dmat: dmats) {
// Test predict batch