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// Copyright (c) 2019-2021 by XGBoost Contributors
#include <gtest/gtest.h>
#include <type_traits>
#include <utility>
#include <xgboost/data.h>
#include "../../../src/data/adapter.h"
#include "../../../src/data/simple_dmatrix.h"
#include "../../../src/common/timer.h"
#include "../helpers.h"
#include "xgboost/base.h"
#include "xgboost/c_api.h"
namespace xgboost {
TEST(Adapter, CSRAdapter) {
int n = 2;
std::vector<float> data = {1, 2, 3, 4, 5};
std::vector<unsigned> feature_idx = {0, 1, 0, 1, 1};
std::vector<size_t> row_ptr = {0, 2, 4, 5};
data::CSRAdapter adapter(row_ptr.data(), feature_idx.data(), data.data(),
row_ptr.size() - 1, data.size(), n);
adapter.Next();
auto & batch = adapter.Value();
auto line0 = batch.GetLine(0);
EXPECT_EQ(line0.GetElement(0).value, 1);
EXPECT_EQ(line0.GetElement(1).value, 2);
auto line1 = batch.GetLine(1);
EXPECT_EQ(line1.GetElement(0).value, 3);
EXPECT_EQ(line1.GetElement(1).value, 4);
auto line2 = batch.GetLine(2);
EXPECT_EQ(line2.GetElement(0).value, 5);
EXPECT_EQ(line2.GetElement(0).row_idx, 2);
EXPECT_EQ(line2.GetElement(0).column_idx, 1);
}
TEST(Adapter, CSRArrayAdapter) {
HostDeviceVector<std::size_t> indptr;
HostDeviceVector<float> values;
HostDeviceVector<bst_feature_t> indices;
size_t n_features = 100, n_samples = 10;
RandomDataGenerator{n_samples, n_features, 0.5}.GenerateCSR(&values, &indptr, &indices);
using linalg::MakeVec;
auto indptr_arr = ArrayInterfaceStr(MakeVec(indptr.HostPointer(), indptr.Size()));
auto values_arr = ArrayInterfaceStr(MakeVec(values.HostPointer(), values.Size()));
auto indices_arr = ArrayInterfaceStr(MakeVec(indices.HostPointer(), indices.Size()));
auto adapter = data::CSRArrayAdapter(
StringView{indptr_arr.c_str(), indptr_arr.size()},
StringView{values_arr.c_str(), values_arr.size()},
StringView{indices_arr.c_str(), indices_arr.size()}, n_features);
auto batch = adapter.Value();
ASSERT_EQ(batch.NumRows(), n_samples);
ASSERT_EQ(batch.NumCols(), n_features);
ASSERT_EQ(adapter.NumRows(), n_samples);
ASSERT_EQ(adapter.NumColumns(), n_features);
}
TEST(Adapter, CSCAdapterColsMoreThanRows) {
std::vector<float> data = {1, 2, 3, 4, 5, 6, 7, 8};
std::vector<unsigned> row_idx = {0, 1, 0, 1, 0, 1, 0, 1};
std::vector<size_t> col_ptr = {0, 2, 4, 6, 8};
// Infer row count
data::CSCAdapter adapter(col_ptr.data(), row_idx.data(), data.data(), 4, 0);
data::SimpleDMatrix dmat(&adapter, std::numeric_limits<float>::quiet_NaN(), -1);
EXPECT_EQ(dmat.Info().num_col_, 4);
EXPECT_EQ(dmat.Info().num_row_, 2);
EXPECT_EQ(dmat.Info().num_nonzero_, 8);
auto &batch = *dmat.GetBatches<SparsePage>().begin();
auto page = batch.GetView();
auto inst = page[0];
EXPECT_EQ(inst[0].fvalue, 1);
EXPECT_EQ(inst[0].index, 0);
EXPECT_EQ(inst[1].fvalue, 3);
EXPECT_EQ(inst[1].index, 1);
EXPECT_EQ(inst[2].fvalue, 5);
EXPECT_EQ(inst[2].index, 2);
EXPECT_EQ(inst[3].fvalue, 7);
EXPECT_EQ(inst[3].index, 3);
inst = page[1];
EXPECT_EQ(inst[0].fvalue, 2);
EXPECT_EQ(inst[0].index, 0);
EXPECT_EQ(inst[1].fvalue, 4);
EXPECT_EQ(inst[1].index, 1);
EXPECT_EQ(inst[2].fvalue, 6);
EXPECT_EQ(inst[2].index, 2);
EXPECT_EQ(inst[3].fvalue, 8);
EXPECT_EQ(inst[3].index, 3);
}
// A mock for JVM data iterator.
class CSRIterForTest {
std::vector<float> data_{1, 2, 3, 4, 5};
std::vector<std::remove_pointer_t<decltype(std::declval<XGBoostBatchCSR>().index)>> feature_idx_{
0, 1, 0, 1, 1};
std::vector<std::remove_pointer_t<decltype(std::declval<XGBoostBatchCSR>().offset)>> row_ptr_{
0, 2, 4, 5, 5};
size_t iter_ {0};
public:
size_t static constexpr kRows { 4 }; // Test for the last row being empty
size_t static constexpr kCols { 13 }; // Test for having some missing columns
XGBoostBatchCSR Next() {
for (auto& v : data_) {
v += iter_;
}
XGBoostBatchCSR batch;
batch.columns = 2;
batch.offset = dmlc::BeginPtr(row_ptr_);
batch.index = dmlc::BeginPtr(feature_idx_);
batch.value = dmlc::BeginPtr(data_);
batch.size = kRows;
batch.label = nullptr;
batch.weight = nullptr;
iter_++;
return batch;
}
size_t Iter() const { return iter_; }
};
size_t constexpr CSRIterForTest::kCols;
int CSRSetDataNextForTest(DataIterHandle data_handle,
XGBCallbackSetData *set_function,
DataHolderHandle set_function_handle) {
size_t constexpr kIters { 2 };
auto iter = static_cast<CSRIterForTest *>(data_handle);
if (iter->Iter() < kIters) {
auto batch = iter->Next();
batch.columns = CSRIterForTest::kCols;
set_function(set_function_handle, batch);
return 1;
} else {
return 0; // stoping condition
}
}
TEST(Adapter, IteratorAdapter) {
CSRIterForTest iter;
data::IteratorAdapter<DataIterHandle, XGBCallbackDataIterNext,
XGBoostBatchCSR> adapter{&iter, CSRSetDataNextForTest};
constexpr size_t kRows { 8 };
std::unique_ptr<DMatrix> data {
DMatrix::Create(&adapter, std::numeric_limits<float>::quiet_NaN(), 1)
};
ASSERT_EQ(data->Info().num_col_, CSRIterForTest::kCols);
ASSERT_EQ(data->Info().num_row_, kRows);
int num_batch = 0;
for (auto const& batch : data->GetBatches<SparsePage>()) {
ASSERT_EQ(batch.offset.HostVector(), std::vector<bst_idx_t>({0, 2, 4, 5, 5, 7, 9, 10, 10}));
++num_batch;
}
ASSERT_EQ(num_batch, 1);
}
} // namespace xgboost
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