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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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4
tests/cpp/data/test_device_dmatrix.cu
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@@ -23,7 +23,7 @@ TEST(DeviceDMatrix, RowMajor) {
auto adapter = common::AdapterFromData(x_device, num_rows, num_columns);
data::DeviceDMatrix dmat(&adapter,
std::numeric_limits<float>::quiet_NaN(), 1, 256);
std::numeric_limits<float>::quiet_NaN(), 1, 256);
auto &batch = *dmat.GetBatches<EllpackPage>({0, 256, 0}).begin();
auto impl = batch.Impl();
@@ -60,7 +60,7 @@ TEST(DeviceDMatrix, RowMajorMissing) {
EXPECT_EQ(iterator[1], impl->GetDeviceAccessor(0).NullValue());
EXPECT_EQ(iterator[5], impl->GetDeviceAccessor(0).NullValue());
// null values get placed after valid values in a row
EXPECT_EQ(iterator[7], impl->GetDeviceAccessor(0).NullValue());
EXPECT_EQ(iterator[7], impl->GetDeviceAccessor(0).NullValue());
EXPECT_EQ(dmat.Info().num_col_, num_columns);
EXPECT_EQ(dmat.Info().num_row_, num_rows);
EXPECT_EQ(dmat.Info().num_nonzero_, num_rows*num_columns-3);