Initial support for column-wise data split (#8468)

This commit is contained in:
Rong Ou
2022-12-03 09:37:51 -08:00
committed by GitHub
parent c0609b98f1
commit 78d65a1928
8 changed files with 135 additions and 3 deletions

View File

@@ -381,6 +381,12 @@ MetaInfo MetaInfo::Slice(common::Span<int32_t const> ridxs) const {
return out;
}
MetaInfo MetaInfo::Copy() const {
MetaInfo out;
out.Extend(*this, /*accumulate_rows=*/true, /*check_column=*/false);
return out;
}
namespace {
template <int32_t D, typename T>
void CopyTensorInfoImpl(Context const& ctx, Json arr_interface, linalg::Tensor<T, D>* p_out) {
@@ -777,8 +783,10 @@ DMatrix *TryLoadBinary(std::string fname, bool silent) {
DMatrix* DMatrix::Load(const std::string& uri, bool silent, DataSplitMode data_split_mode,
const std::string& file_format) {
CHECK(data_split_mode == DataSplitMode::kRow || data_split_mode == DataSplitMode::kNone)
<< "Precondition violated; data split mode can only be 'row' or 'none'";
CHECK(data_split_mode == DataSplitMode::kRow ||
data_split_mode == DataSplitMode::kCol ||
data_split_mode == DataSplitMode::kNone)
<< "Precondition violated; data split mode can only be 'row', 'col', or 'none'";
std::string fname, cache_file;
size_t dlm_pos = uri.find('#');
if (dlm_pos != std::string::npos) {
@@ -878,7 +886,20 @@ DMatrix* DMatrix::Load(const std::string& uri, bool silent, DataSplitMode data_s
* partitioned data will fail the train/val validation check
* since partitioned data not knowing the real number of features. */
collective::Allreduce<collective::Operation::kMax>(&dmat->Info().num_col_, 1);
return dmat;
if (data_split_mode == DataSplitMode::kCol) {
if (!cache_file.empty()) {
LOG(FATAL) << "Column-wise data split is not support for external memory.";
}
auto slice_cols = (dmat->Info().num_col_ + 1) / npart;
auto slice_start = slice_cols * partid;
auto size = std::min(slice_cols, dmat->Info().num_col_ - slice_start);
auto* sliced = dmat->SliceCol(slice_start, size);
delete dmat;
return sliced;
} else {
return dmat;
}
}
template <typename DataIterHandle, typename DMatrixHandle, typename DataIterResetCallback,