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/**
* Copyright 2024, XGBoost Contributors
*/
#include <xgboost/base.h>
#include <xgboost/context.h>
#include "../../../src/tree/param.h" // for TrainParam
#include "../helpers.h" // for RandomDataGenerator
namespace xgboost::data {
template <typename Page, typename Equal, typename NoMissing>
void TestExtMemQdmBasic(Context const* ctx, bool on_host, float sparsity, Equal&& check_equal,
NoMissing&& no_missing) {
bst_idx_t n_samples = 256, n_features = 16, n_batches = 4;
bst_bin_t max_bin = 64;
bst_target_t n_targets = 3;
BatchParam p{max_bin, tree::TrainParam::DftSparseThreshold()};
auto p_fmat = RandomDataGenerator{n_samples, n_features, sparsity}
.Bins(max_bin)
.Batches(n_batches)
.Targets(n_targets)
.Device(ctx->Device())
.OnHost(on_host)
.GenerateExtMemQuantileDMatrix("temp", true);
ASSERT_FALSE(p_fmat->SingleColBlock());
// Loop over the batches and count the number of pages
bst_idx_t batch_cnt = 0, base_cnt = 0, row_cnt = 0;
for (auto const& page : p_fmat->GetBatches<Page>(ctx, p)) {
ASSERT_EQ(page.BaseRowId(), base_cnt);
++batch_cnt;
base_cnt += n_samples / n_batches;
row_cnt += page.Size();
ASSERT_EQ((sparsity == 0.0f), no_missing(page));
}
ASSERT_EQ(n_batches, batch_cnt);
ASSERT_EQ(p_fmat->Info().num_row_, n_samples);
EXPECT_EQ(p_fmat->Info().num_row_, row_cnt);
ASSERT_EQ(p_fmat->Info().num_col_, n_features);
if (sparsity == 0.0f) {
ASSERT_EQ(p_fmat->Info().num_nonzero_, n_samples * n_features);
} else {
ASSERT_LT(p_fmat->Info().num_nonzero_, n_samples * n_features);
ASSERT_GT(p_fmat->Info().num_nonzero_, 0);
}
ASSERT_EQ(p_fmat->Info().labels.Shape(0), n_samples);
ASSERT_EQ(p_fmat->Info().labels.Shape(1), n_targets);
// Compare against the sparse page DMatrix
auto p_sparse = RandomDataGenerator{n_samples, n_features, sparsity}
.Bins(max_bin)
.Batches(n_batches)
.Targets(n_targets)
.Device(ctx->Device())
.OnHost(on_host)
.GenerateSparsePageDMatrix("temp", true);
auto it = p_fmat->GetBatches<Page>(ctx, p).begin();
for (auto const& page : p_sparse->GetBatches<Page>(ctx, p)) {
auto orig = it.Page();
check_equal(ctx, *orig, page);
++it;
}
// Check meta info
auto h_y_sparse = p_sparse->Info().labels.HostView();
auto h_y = p_fmat->Info().labels.HostView();
for (std::size_t i = 0, m = h_y_sparse.Shape(0); i < m; ++i) {
for (std::size_t j = 0, n = h_y_sparse.Shape(1); j < n; ++j) {
ASSERT_EQ(h_y(i, j), h_y_sparse(i, j));
}
}
}
} // namespace xgboost::data
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