[GPU-Plugin] Add GPU accelerated prediction (#2593)

* [GPU-Plugin] Add GPU accelerated prediction

* Improve allocation message

* Update documentation

* Resolve linker error for predictor

* Add unit tests
This commit is contained in:
Rory Mitchell
2017-08-16 12:31:59 +12:00
committed by GitHub
parent 71e5e622b1
commit ef23e424f1
25 changed files with 876 additions and 203 deletions

View File

@@ -37,7 +37,7 @@ void SpeedTest() {
dh::Timer t;
dh::TransformLbs(
0, &temp_memory, h_rows.size(), dh::raw(row_ptr), row_ptr.size() - 1,
0, &temp_memory, h_rows.size(), dh::raw(row_ptr), row_ptr.size() - 1, false,
[=] __device__(size_t idx, size_t ridx) { d_output_row[idx] = ridx; });
dh::safe_cuda(cudaDeviceSynchronize());
@@ -65,7 +65,7 @@ void TestLbs() {
auto d_output_row = output_row.data();
dh::TransformLbs(0, &temp_memory, h_rows.size(), dh::raw(row_ptr),
row_ptr.size() - 1,
row_ptr.size() - 1, false,
[=] __device__(size_t idx, size_t ridx) {
d_output_row[idx] = ridx;
});

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@@ -0,0 +1,73 @@
/*!
* Copyright 2017 XGBoost contributors
*/
#include <xgboost/c_api.h>
#include <xgboost/predictor.h>
#include "gtest/gtest.h"
#include "../../../../tests/cpp/helpers.h"
namespace xgboost {
namespace predictor {
TEST(gpu_predictor, Test) {
std::unique_ptr<Predictor> gpu_predictor =
std::unique_ptr<Predictor>(Predictor::Create("gpu_predictor"));
std::unique_ptr<Predictor> cpu_predictor =
std::unique_ptr<Predictor>(Predictor::Create("cpu_predictor"));
std::vector<std::unique_ptr<RegTree>> trees;
trees.push_back(std::make_unique<RegTree>());
trees.back()->InitModel();
(*trees.back())[0].set_leaf(1.5f);
gbm::GBTreeModel model(0.5);
model.CommitModel(std::move(trees), 0);
model.param.num_output_group = 1;
int n_row = 5;
int n_col = 5;
auto dmat = CreateDMatrix(n_row, n_col, 0);
// Test predict batch
std::vector<float> gpu_out_predictions;
std::vector<float> cpu_out_predictions;
gpu_predictor->PredictBatch(dmat.get(), &gpu_out_predictions, model, 0);
cpu_predictor->PredictBatch(dmat.get(), &cpu_out_predictions, model, 0);
float abs_tolerance = 0.001;
for (int i = 0; i < gpu_out_predictions.size(); i++) {
ASSERT_LT(std::abs(gpu_out_predictions[i] - cpu_out_predictions[i]),
abs_tolerance);
}
// Test predict instance
auto batch = dmat->RowIterator()->Value();
for (int i = 0; i < batch.size; i++) {
std::vector<float> gpu_instance_out_predictions;
std::vector<float> cpu_instance_out_predictions;
cpu_predictor->PredictInstance(batch[i], &cpu_instance_out_predictions,
model);
gpu_predictor->PredictInstance(batch[i], &gpu_instance_out_predictions,
model);
ASSERT_EQ(gpu_instance_out_predictions[0], cpu_instance_out_predictions[0]);
}
// Test predict leaf
std::vector<float> gpu_leaf_out_predictions;
std::vector<float> cpu_leaf_out_predictions;
cpu_predictor->PredictLeaf(dmat.get(), &cpu_leaf_out_predictions, model);
gpu_predictor->PredictLeaf(dmat.get(), &gpu_leaf_out_predictions, model);
for (int i = 0; i < gpu_leaf_out_predictions.size(); i++) {
ASSERT_EQ(gpu_leaf_out_predictions[i], cpu_leaf_out_predictions[i]);
}
// Test predict contribution
std::vector<float> gpu_out_contribution;
std::vector<float> cpu_out_contribution;
cpu_predictor->PredictContribution(dmat.get(), &cpu_out_contribution, model);
gpu_predictor->PredictContribution(dmat.get(), &gpu_out_contribution, model);
for (int i = 0; i < gpu_out_contribution.size(); i++) {
ASSERT_EQ(gpu_out_contribution[i], cpu_out_contribution[i]);
}
}
} // namespace predictor
} // namespace xgboost