72 lines
2.0 KiB
Plaintext
72 lines
2.0 KiB
Plaintext
|
|
/*!
|
|
* Copyright 2017 XGBoost contributors
|
|
*/
|
|
#include <thrust/device_vector.h>
|
|
#include <xgboost/base.h>
|
|
#include "../helpers.h"
|
|
#include "gtest/gtest.h"
|
|
|
|
#include "../../../src/tree/updater_gpu_hist_experimental.cu"
|
|
#include "../../../src/gbm/gbtree_model.h"
|
|
|
|
namespace xgboost {
|
|
namespace tree {
|
|
TEST(gpu_hist_experimental, TestSparseShard) {
|
|
int rows = 100;
|
|
int columns = 80;
|
|
int max_bins = 4;
|
|
auto dmat = CreateDMatrix(rows, columns, 0.9);
|
|
common::HistCutMatrix hmat;
|
|
common::GHistIndexMatrix gmat;
|
|
hmat.Init(dmat.get(), max_bins);
|
|
gmat.cut = &hmat;
|
|
gmat.Init(dmat.get());
|
|
DeviceShard shard(0, 0, gmat, 0, rows, hmat.row_ptr.back(), TrainParam());
|
|
|
|
ASSERT_LT(shard.row_stride, columns);
|
|
|
|
auto host_gidx_buffer = shard.gidx_buffer.as_vector();
|
|
|
|
common::CompressedIterator<uint32_t> gidx(host_gidx_buffer.data(),
|
|
hmat.row_ptr.back() + 1);
|
|
|
|
for (int i = 0; i < rows; i++) {
|
|
int row_offset = 0;
|
|
for (int j = gmat.row_ptr[i]; j < gmat.row_ptr[i + 1]; j++) {
|
|
ASSERT_EQ(gidx[i * shard.row_stride + row_offset], gmat.index[j]);
|
|
row_offset++;
|
|
}
|
|
|
|
for (; row_offset < shard.row_stride; row_offset++) {
|
|
ASSERT_EQ(gidx[i * shard.row_stride + row_offset], shard.null_gidx_value);
|
|
}
|
|
}
|
|
}
|
|
|
|
TEST(gpu_hist_experimental, TestDenseShard) {
|
|
int rows = 100;
|
|
int columns = 80;
|
|
int max_bins = 4;
|
|
auto dmat = CreateDMatrix(rows, columns, 0);
|
|
common::HistCutMatrix hmat;
|
|
common::GHistIndexMatrix gmat;
|
|
hmat.Init(dmat.get(), max_bins);
|
|
gmat.cut = &hmat;
|
|
gmat.Init(dmat.get());
|
|
DeviceShard shard(0, 0, gmat, 0, rows, hmat.row_ptr.back(), TrainParam());
|
|
|
|
ASSERT_EQ(shard.row_stride, columns);
|
|
|
|
auto host_gidx_buffer = shard.gidx_buffer.as_vector();
|
|
|
|
common::CompressedIterator<uint32_t> gidx(host_gidx_buffer.data(),
|
|
hmat.row_ptr.back() + 1);
|
|
|
|
for (int i = 0; i < gmat.index.size(); i++) {
|
|
ASSERT_EQ(gidx[i], gmat.index[i]);
|
|
}
|
|
}
|
|
|
|
} // namespace tree
|
|
} // namespace xgboost |