17 Commits

Author SHA1 Message Date
Bobby Wang
bc7643d35e
[jvm-packages] Don't cast to float if it's already float (#10386) 2024-06-04 18:01:51 +08:00
Bobby Wang
932d7201f9
[jvm-packages] refine tracker (#10313)
Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2024-05-23 12:46:21 +08:00
Bobby Wang
9b465052ce
[jvm-packages] fix group col for gpu packages (#10254) 2024-05-09 07:44:07 +08:00
Jiaming Yuan
f4fb2be101
[jvm-packages] Add the new device parameter. (#9385) 2023-07-17 18:40:39 +08:00
Jiaming Yuan
04aff3af8e
Define the new device parameter. (#9362) 2023-07-13 19:30:25 +08:00
Jiaming Yuan
39390cc2ee
[breaking] Remove the predictor param, allow fallback to prediction using DMatrix. (#9129)
- A `DeviceOrd` struct is implemented to indicate the device. It will eventually replace the `gpu_id` parameter.
- The `predictor` parameter is removed.
- Fallback to `DMatrix` when `inplace_predict` is not available.
- The heuristic for choosing a predictor is only used during training.
2023-07-03 19:23:54 +08:00
Bobby Wang
4e12f3e1bc
[Breaking][jvm-packages] Bump rapids version to 22.12.0 (#8648)
* [jvm-packages] Bump rapids version to 22.12.0

This PR bumps spark version to 3.1.1 and the rapids version
to 22.12.0, which results in the latest xgboost can't run
with the old rapids packages.
2023-01-07 18:59:17 +08:00
Bobby Wang
f1e9bbcee5
[breakinig] [jvm-packages] change DeviceQuantileDmatrix into QuantileDMatrix (#8461) 2022-12-05 12:23:21 +08:00
Bobby Wang
8d247f0d64
[jvm-packages] fix spark-rapids compatibility issue (#8240)
* [jvm-packages] fix spark-rapids compatibility issue

spark-rapids (from 22.10) has shimmed GpuColumnVector, which means
we can't call it directly. So this PR call the UnshimmedGpuColumnVector
2022-09-22 23:31:29 +08:00
Bobby Wang
a68580e2a7
[jvm-packages] fix executor crashing issue when transforming on xgboost4j-spark-gpu (#8025)
* [jvm-packages] fix executor crashing issue when transforming on xgboost4j-spark-gpu

the API XGBoosterSetParam is not thread-safe. Dring the phase of transforming,
XGBoost runs several transforming tasks at a time, and each of them will set
the "gpu_id" and "predictor" parameters, so if several tasks (multi-threads)
all XGBoosterSetParam simultaneously, it may cause the memory to be corrupted
and cause SIGSEGV.

This PR first get the booster from broadcast and set to the correct gpu_id
and predictor, and then all transforming taskes will use the same booster to
do the transforming.
2022-06-24 01:18:41 +08:00
Bobby Wang
b41cf92dc2
[jvm-packages] move dmatrix building into rabit context for cpu pipeline (#7908) 2022-05-17 14:52:25 +08:00
Bobby Wang
686caad40c
[jvm-package] remove the coalesce in barrier mode (#7846) 2022-04-27 23:34:22 +08:00
Bobby Wang
c45665a55a
[jvm-packages] move the dmatrix building into rabit context (#7823)
This fixes the QuantileDeviceDMatrix in distributed environment.
2022-04-23 00:06:50 +08:00
Bobby Wang
2454407f3a
[jvm-packages] unify setFeaturesCol API for XGBoostRegressor (#7784) 2022-04-05 13:35:33 +08:00
Bobby Wang
131858e7cb
[jvm-packages] Do not repartition when nWorker = 1 (#7676) 2022-02-19 21:45:54 +08:00
Bobby Wang
24e25802a7
[jvm-packages] Add Rapids plugin support (#7491)
* Add GPU pre-processing pipeline.
2021-12-17 13:11:12 +08:00
Philip Hyunsu Cho
ec6ce08cd0
[jvm-packages] Make it easier to release GPU/CPU code artifacts to Maven Central (#6940) 2021-05-04 14:00:03 -07:00