[breaking] Remove the predictor param, allow fallback to prediction using DMatrix. (#9129)

- A `DeviceOrd` struct is implemented to indicate the device. It will eventually replace the `gpu_id` parameter.
- The `predictor` parameter is removed.
- Fallback to `DMatrix` when `inplace_predict` is not available.
- The heuristic for choosing a predictor is only used during training.
This commit is contained in:
Jiaming Yuan
2023-07-03 19:23:54 +08:00
committed by GitHub
parent 3a0f787703
commit 39390cc2ee
54 changed files with 1049 additions and 778 deletions

View File

@@ -6,19 +6,34 @@
#include "device_adapter.cuh"
#include "proxy_dmatrix.h"
namespace xgboost::data {
template <typename Fn>
namespace xgboost::data::cuda_impl {
template <bool get_value = true, typename Fn>
decltype(auto) Dispatch(DMatrixProxy const* proxy, Fn fn) {
if (proxy->Adapter().type() == typeid(std::shared_ptr<CupyAdapter>)) {
auto value = std::any_cast<std::shared_ptr<CupyAdapter>>(proxy->Adapter())->Value();
return fn(value);
if constexpr (get_value) {
auto value = std::any_cast<std::shared_ptr<CupyAdapter>>(proxy->Adapter())->Value();
return fn(value);
} else {
auto value = std::any_cast<std::shared_ptr<CupyAdapter>>(proxy->Adapter());
return fn(value);
}
} else if (proxy->Adapter().type() == typeid(std::shared_ptr<CudfAdapter>)) {
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter())->Value();
return fn(value);
if constexpr (get_value) {
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter())->Value();
return fn(value);
} else {
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter());
return fn(value);
}
} else {
LOG(FATAL) << "Unknown type: " << proxy->Adapter().type().name();
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter())->Value();
return fn(value);
if constexpr (get_value) {
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter())->Value();
return fn(value);
} else {
auto value = std::any_cast<std::shared_ptr<CudfAdapter>>(proxy->Adapter());
return fn(value);
}
}
}
} // namespace xgboost::data
} // namespace xgboost::data::cuda_impl