Revamp the rabit implementation. (#10112)

This PR replaces the original RABIT implementation with a new one, which has already been partially merged into XGBoost. The new one features:
- Federated learning for both CPU and GPU.
- NCCL.
- More data types.
- A unified interface for all the underlying implementations.
- Improved timeout handling for both tracker and workers.
- Exhausted tests with metrics (fixed a couple of bugs along the way).
- A reusable tracker for Python and JVM packages.
This commit is contained in:
Jiaming Yuan
2024-05-20 11:56:23 +08:00
committed by GitHub
parent ba9b4cb1ee
commit a5a58102e5
195 changed files with 2768 additions and 9234 deletions

View File

@@ -50,7 +50,7 @@ class TestDefaultObjConfig : public ::testing::TestWithParam<std::string> {
public:
void Run(std::string objective) {
auto Xy = MakeFmatForObjTest(objective);
auto Xy = MakeFmatForObjTest(objective, 10, 10);
std::unique_ptr<Learner> learner{Learner::Create({Xy})};
std::unique_ptr<ObjFunction> objfn{ObjFunction::Create(objective, &ctx_)};