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Support vertical federated learning (#8932)

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This commit is contained in:
Rong Ou
2023-03-21 23:25:26 -07:00
committed by GitHub
parent 8dc1e4b3ea
commit b240f055d3
23 changed files with 371 additions and 249 deletions
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12
src/data/simple_dmatrix.cu
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@@ -15,7 +15,10 @@ namespace data {
// Current implementation assumes a single batch. More batches can
// be supported in future. Does not currently support inferring row/column size
template <typename AdapterT>
SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int32_t /*nthread*/) {
SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int32_t /*nthread*/,
DataSplitMode data_split_mode) {
CHECK(data_split_mode != DataSplitMode::kCol)
<< "Column-wise data split is currently not supported on the GPU.";
auto device = (adapter->DeviceIdx() < 0 || adapter->NumRows() == 0) ? dh::CurrentDevice()
: adapter->DeviceIdx();
CHECK_GE(device, 0);
@@ -35,12 +38,13 @@ SimpleDMatrix::SimpleDMatrix(AdapterT* adapter, float missing, int32_t /*nthread
info_.num_col_ = adapter->NumColumns();
info_.num_row_ = adapter->NumRows();
// Synchronise worker columns
collective::Allreduce<collective::Operation::kMax>(&info_.num_col_, 1);
info_.data_split_mode = data_split_mode;
info_.SynchronizeNumberOfColumns();
}
template SimpleDMatrix::SimpleDMatrix(CudfAdapter* adapter, float missing,
int nthread);
int nthread, DataSplitMode data_split_mode);
template SimpleDMatrix::SimpleDMatrix(CupyAdapter* adapter, float missing,
int nthread);
int nthread, DataSplitMode data_split_mode);
} // namespace data
} // namespace xgboost