62 lines
2.2 KiB
C++
62 lines
2.2 KiB
C++
/**
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* Copyright 2021-2023, XGBoost Contributors
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* \file proxy_dmatrix.cc
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*/
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#include "proxy_dmatrix.h"
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namespace xgboost::data {
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void DMatrixProxy::SetArrayData(StringView interface_str) {
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std::shared_ptr<ArrayAdapter> adapter{new ArrayAdapter{interface_str}};
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this->batch_ = adapter;
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this->Info().num_col_ = adapter->NumColumns();
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this->Info().num_row_ = adapter->NumRows();
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this->ctx_.gpu_id = Context::kCpuId;
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}
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void DMatrixProxy::SetCSRData(char const *c_indptr, char const *c_indices,
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char const *c_values, bst_feature_t n_features, bool on_host) {
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CHECK(on_host) << "Not implemented on device.";
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std::shared_ptr<CSRArrayAdapter> adapter{new CSRArrayAdapter(
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StringView{c_indptr}, StringView{c_indices}, StringView{c_values}, n_features)};
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this->batch_ = adapter;
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this->Info().num_col_ = adapter->NumColumns();
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this->Info().num_row_ = adapter->NumRows();
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this->ctx_.gpu_id = Context::kCpuId;
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}
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namespace cuda_impl {
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std::shared_ptr<DMatrix> CreateDMatrixFromProxy(Context const *ctx,
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std::shared_ptr<DMatrixProxy> proxy, float missing);
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#if !defined(XGBOOST_USE_CUDA)
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std::shared_ptr<DMatrix> CreateDMatrixFromProxy(Context const *, std::shared_ptr<DMatrixProxy>,
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float) {
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return nullptr;
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}
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#endif // XGBOOST_USE_CUDA
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} // namespace cuda_impl
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std::shared_ptr<DMatrix> CreateDMatrixFromProxy(Context const *ctx,
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std::shared_ptr<DMatrixProxy> proxy,
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float missing) {
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bool type_error{false};
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std::shared_ptr<DMatrix> p_fmat{nullptr};
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if (proxy->Ctx()->IsCPU()) {
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p_fmat = data::HostAdapterDispatch<false>(
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proxy.get(),
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[&](auto const &adapter) {
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auto p_fmat =
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std::shared_ptr<DMatrix>(DMatrix::Create(adapter.get(), missing, ctx->Threads()));
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return p_fmat;
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},
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&type_error);
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} else {
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p_fmat = cuda_impl::CreateDMatrixFromProxy(ctx, proxy, missing);
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}
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CHECK(p_fmat) << "Failed to fallback.";
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p_fmat->Info() = proxy->Info().Copy();
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return p_fmat;
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}
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} // namespace xgboost::data
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