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Replaced std::vector-based interfaces with HostDeviceVector-based interfaces. (#3116)

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* Replaced std::vector-based interfaces with HostDeviceVector-based interfaces.

- replacement was performed in the learner, boosters, predictors,
  updaters, and objective functions
- only interfaces used in training were replaced;
  interfaces like PredictInstance() still use std::vector
- refactoring necessary for replacement of interfaces was also performed,
  such as using HostDeviceVector in prediction cache

* HostDeviceVector-based interfaces for custom objective function example plugin.
This commit is contained in:
Andrew V. Adinetz
2018-02-28 01:00:04 +01:00
committed by Rory Mitchell
parent 11bfa8584d
commit d5992dd881
38 changed files with 371 additions and 519 deletions
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10
include/xgboost/learner.h
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@@ -84,7 +84,7 @@ class Learner : public rabit::Serializable {
*/
virtual void BoostOneIter(int iter,
DMatrix* train,
std::vector<bst_gpair>* in_gpair) = 0;
HostDeviceVector<bst_gpair>* in_gpair) = 0;
/*!
* \brief evaluate the model for specific iteration using the configured metrics.
* \param iter iteration number
@@ -109,7 +109,7 @@ class Learner : public rabit::Serializable {
*/
virtual void Predict(DMatrix* data,
bool output_margin,
std::vector<bst_float> *out_preds,
HostDeviceVector<bst_float> *out_preds,
unsigned ntree_limit = 0,
bool pred_leaf = false,
bool pred_contribs = false,
@@ -169,7 +169,7 @@ class Learner : public rabit::Serializable {
*/
inline void Predict(const SparseBatch::Inst &inst,
bool output_margin,
std::vector<bst_float> *out_preds,
HostDeviceVector<bst_float> *out_preds,
unsigned ntree_limit = 0) const;
/*!
* \brief Create a new instance of learner.
@@ -192,9 +192,9 @@ class Learner : public rabit::Serializable {
// implementation of inline functions.
inline void Learner::Predict(const SparseBatch::Inst& inst,
bool output_margin,
std::vector<bst_float>* out_preds,
HostDeviceVector<bst_float>* out_preds,
unsigned ntree_limit) const {
gbm_->PredictInstance(inst, out_preds, ntree_limit);
gbm_->PredictInstance(inst, &out_preds->data_h(), ntree_limit);
if (!output_margin) {
obj_->PredTransform(out_preds);
}