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

@@ -151,6 +151,7 @@ function(xgboost_set_cuda_flags target)
target_include_directories(
${target} PRIVATE
${xgboost_SOURCE_DIR}/gputreeshap
${xgboost_SOURCE_DIR}/rabit/include
${CUDAToolkit_INCLUDE_DIRS})
if(MSVC)