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Use ellpack for prediction only when sparsepage doesn't exist. (#5504)

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This commit is contained in:
Jiaming Yuan
2020-04-10 12:15:46 +08:00
committed by GitHub
parent ad826e913f
commit 6671b42dd4
35 changed files with 166 additions and 116 deletions
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16
tests/cpp/common/test_hist_util.cc
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@@ -128,7 +128,7 @@ TEST(CutsBuilder, SearchGroupInd) {
size_t constexpr kRows = 17;
size_t constexpr kCols = 15;
auto p_mat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
auto p_mat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
std::vector<bst_int> group(kNumGroups);
group[0] = 2;
@@ -155,7 +155,7 @@ TEST(SparseCuts, SingleThreadedBuild) {
size_t constexpr kCols = 31;
size_t constexpr kBins = 256;
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
common::GHistIndexMatrix hmat;
hmat.Init(p_fmat.get(), kBins);
@@ -206,12 +206,12 @@ TEST(SparseCuts, MultiThreadedBuild) {
};
{
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
Compare(p_fmat.get());
}
{
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.0001).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.0001).GenerateDMatrix();
Compare(p_fmat.get());
}
@@ -360,7 +360,7 @@ TEST(HistUtil, IndexBinBound) {
size_t bin_id = 0;
for (auto max_bin : bin_sizes) {
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
common::GHistIndexMatrix hmat;
hmat.Init(p_fmat.get(), max_bin);
@@ -381,7 +381,7 @@ TEST(HistUtil, SparseIndexBinBound) {
size_t bin_id = 0;
for (auto max_bin : bin_sizes) {
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.2).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.2).GenerateDMatrix();
common::GHistIndexMatrix hmat;
hmat.Init(p_fmat.get(), max_bin);
EXPECT_EQ(expected_bin_type_sizes[bin_id++], hmat.index.GetBinTypeSize());
@@ -404,7 +404,7 @@ TEST(HistUtil, IndexBinData) {
size_t constexpr kCols = 10;
for (auto max_bin : kBinSizes) {
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0).GenerateDMatrix();
common::GHistIndexMatrix hmat;
hmat.Init(p_fmat.get(), max_bin);
uint32_t* offsets = hmat.index.Offset();
@@ -434,7 +434,7 @@ TEST(HistUtil, SparseIndexBinData) {
size_t constexpr kCols = 10;
for (auto max_bin : bin_sizes) {
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.2).GenerateDMatix();
auto p_fmat = RandomDataGenerator(kRows, kCols, 0.2).GenerateDMatrix();
common::GHistIndexMatrix hmat;
hmat.Init(p_fmat.get(), max_bin);
EXPECT_EQ(hmat.index.Offset(), nullptr);