Thread safe, inplace prediction. (#5389)

Normal prediction with DMatrix is now thread safe with locks.  Added inplace prediction is lock free thread safe.

When data is on device (cupy, cudf), the returned data is also on device.

* Implementation for numpy, csr, cudf and cupy.

* Implementation for dask.

* Remove sync in simple dmatrix.
This commit is contained in:
Jiaming Yuan
2020-03-30 15:35:28 +08:00
committed by GitHub
parent 7f980e9f83
commit 6601a641d7
25 changed files with 1217 additions and 167 deletions

View File

@@ -52,3 +52,60 @@ XGB_DLL int XGDeviceQuantileDMatrixCreateFromArrayInterface(char const* c_json_s
new std::shared_ptr<DMatrix>(new data::DeviceDMatrix(&adapter, missing, nthread, max_bin));
API_END();
}
// A hidden API as cache id is not being supported yet.
XGB_DLL int XGBoosterPredictFromArrayInterfaceColumns(BoosterHandle handle,
char const* c_json_strs,
float missing,
unsigned iteration_begin,
unsigned iteration_end,
char const* c_type,
xgboost::bst_ulong cache_id,
xgboost::bst_ulong *out_len,
float const** out_result) {
API_BEGIN();
CHECK_HANDLE();
CHECK_EQ(cache_id, 0) << "Cache ID is not supported yet";
auto *learner = static_cast<Learner*>(handle);
std::string json_str{c_json_strs};
auto x = data::CudfAdapter(json_str);
HostDeviceVector<float>* p_predt { nullptr };
std::string type { c_type };
learner->InplacePredict(x, type, missing, &p_predt);
CHECK(p_predt);
CHECK(p_predt->DeviceCanRead());
*out_result = p_predt->ConstDevicePointer();
*out_len = static_cast<xgboost::bst_ulong>(p_predt->Size());
API_END();
}
// A hidden API as cache id is not being supported yet.
XGB_DLL int XGBoosterPredictFromArrayInterface(BoosterHandle handle,
char const* c_json_strs,
float missing,
unsigned iteration_begin,
unsigned iteration_end,
char const* c_type,
xgboost::bst_ulong cache_id,
xgboost::bst_ulong *out_len,
float const** out_result) {
API_BEGIN();
CHECK_HANDLE();
CHECK_EQ(cache_id, 0) << "Cache ID is not supported yet";
auto *learner = static_cast<Learner*>(handle);
std::string json_str{c_json_strs};
auto x = data::CupyAdapter(json_str);
HostDeviceVector<float>* p_predt { nullptr };
std::string type { c_type };
learner->InplacePredict(x, type, missing, &p_predt);
CHECK(p_predt);
CHECK(p_predt->DeviceCanRead());
*out_result = p_predt->ConstDevicePointer();
*out_len = static_cast<xgboost::bst_ulong>(p_predt->Size());
API_END();
}