Offload some configurations into GBM. (#4553)

This is part 1 of refactoring configuration.

* Move tree heuristic configurations.
* Split up declarations and definitions for GBTree.
* Implement UseGPU in gbm.
This commit is contained in:
Jiaming Yuan
2019-06-14 09:18:51 +08:00
committed by GitHub
parent a2042b685a
commit c5719cc457
12 changed files with 630 additions and 519 deletions

View File

@@ -145,25 +145,30 @@ TEST(gpu_predictor, MGPU_PicklingTest) {
}
// Load data matrix
CheckCAPICall(XGDMatrixCreateFromFile(tmp_file.c_str(), 0, &dmat[0]));
CheckCAPICall(XGDMatrixSetFloatInfo(dmat[0], "label", label.data(), 200));
ASSERT_EQ(XGDMatrixCreateFromFile(
tmp_file.c_str(), 0, &dmat[0]), 0) << XGBGetLastError();
ASSERT_EQ(XGDMatrixSetFloatInfo(
dmat[0], "label", label.data(), 200), 0) << XGBGetLastError();
// Create booster
CheckCAPICall(XGBoosterCreate(dmat, 1, &bst));
ASSERT_EQ(XGBoosterCreate(dmat, 1, &bst), 0) << XGBGetLastError();
// Set parameters
CheckCAPICall(XGBoosterSetParam(bst, "seed", "0"));
CheckCAPICall(XGBoosterSetParam(bst, "base_score", "0.5"));
CheckCAPICall(XGBoosterSetParam(bst, "booster", "gbtree"));
CheckCAPICall(XGBoosterSetParam(bst, "learning_rate", "0.01"));
CheckCAPICall(XGBoosterSetParam(bst, "max_depth", "8"));
CheckCAPICall(XGBoosterSetParam(bst, "objective", "binary:logistic"));
CheckCAPICall(XGBoosterSetParam(bst, "seed", "123"));
CheckCAPICall(XGBoosterSetParam(bst, "tree_method", "gpu_hist"));
CheckCAPICall(XGBoosterSetParam(bst, "n_gpus", std::to_string(ngpu).c_str()));
CheckCAPICall(XGBoosterSetParam(bst, "predictor", "gpu_predictor"));
ASSERT_EQ(XGBoosterSetParam(bst, "seed", "0"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "base_score", "0.5"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "booster", "gbtree"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "learning_rate", "0.01"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "max_depth", "8"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(
bst, "objective", "binary:logistic"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "seed", "123"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(
bst, "tree_method", "gpu_hist"), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(
bst, "n_gpus", std::to_string(ngpu).c_str()), 0) << XGBGetLastError();
ASSERT_EQ(XGBoosterSetParam(bst, "predictor", "gpu_predictor"), 0) << XGBGetLastError();
// Run boosting iterations
for (int i = 0; i < 10; ++i) {
CheckCAPICall(XGBoosterUpdateOneIter(bst, i, dmat[0]));
ASSERT_EQ(XGBoosterUpdateOneIter(bst, i, dmat[0]), 0) << XGBGetLastError();
}
// Delete matrix