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Thread safe, inplace prediction. (#5389)

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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
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19
src/gbm/gbtree.h
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@@ -1,5 +1,5 @@
/*!
* Copyright 2014-2019 by Contributors
* Copyright 2014-2020 by Contributors
* \file gbtree.cc
* \brief gradient boosted tree implementation.
* \author Tianqi Chen
@@ -16,6 +16,7 @@
#include <string>
#include <unordered_map>
#include "xgboost/base.h"
#include "xgboost/data.h"
#include "xgboost/logging.h"
#include "xgboost/gbm.h"
@@ -203,6 +204,22 @@ class GBTree : public GradientBooster {
bool training,
unsigned ntree_limit) override;
void InplacePredict(dmlc::any const &x, float missing,
PredictionCacheEntry *out_preds,
uint32_t layer_begin = 0,
unsigned layer_end = 0) const override {
CHECK(configured_);
// From here on, layer becomes concrete trees.
bst_group_t groups = model_.learner_model_param_->num_output_group;
uint32_t tree_begin = layer_begin * groups * tparam_.num_parallel_tree;
uint32_t tree_end = layer_end * groups * tparam_.num_parallel_tree;
if (tree_end == 0 || tree_end > model_.trees.size()) {
tree_end = static_cast<uint32_t>(model_.trees.size());
}
this->GetPredictor()->InplacePredict(x, model_, missing, out_preds,
tree_begin, tree_end);
}
void PredictInstance(const SparsePage::Inst& inst,
std::vector<bst_float>* out_preds,
unsigned ntree_limit) override {