7 Commits

Author SHA1 Message Date
Philip Hyunsu Cho
05e5563c2c
[CI] Fix CentOS 6 Docker images (#6467) 2020-12-04 21:33:11 -08:00
Philip Hyunsu Cho
92913aaf7f
[CI] Use Vault repository to re-gain access to devtoolset-4 (#5589)
* [CI] Use Vault repository to re-gain access to devtoolset-4

* Use manylinux2010 tag

* Update Dockerfile.jvm

* Fix rename_whl.py

* Upgrade Pip, to handle manylinux2010 tag

* Update insert_vcomp140.py

* Update test_python.sh
2020-04-23 18:53:54 -07:00
Jiaming Yuan
8b04736b81
[dask] dask cudf inplace prediction. (#5512)
* Add inplace prediction for dask-cudf.

* Remove Dockerfile.release, since it's not used anywhere

* Use Conda exclusively in CUDF and GPU containers

* Improve cupy memory copying.

* Add skip marks to tests.

* Add mgpu-cudf category on the CI to run all distributed tests.

Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
2020-04-15 18:15:51 +08:00
Philip Hyunsu Cho
88b64c8162
Ensure that configured dmlc/build_config.h is picked up by Rabit and XGBoost (#5514)
* Ensure that configured header (build_config.h) from dmlc-core is picked up by Rabit and XGBoost

* Check which Rabit target is being used

* Use CMake 3.13 in all Jenkins tests

* Upgrade CMake in Travis CI

* Install CMake using Kitware installer

* Remove existing CMake (3.12.4)
2020-04-11 23:48:28 -07:00
Liang-Chi Hsieh
449ab79e0c
[CI] Use devtoolset-6 because devtoolset-4 is EOL and no longer available (#5506)
* Use devtoolset-6.

* [CI] Use devtoolset-6 because devtoolset-4 is EOL and no longer available

* CUDA 9.0 doesn't work with devtoolset-6; use devtoolset-4 for GPU build only

Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
2020-04-11 19:49:06 -07:00
Philip Hyunsu Cho
74f545bde3 [CI] Repair download URL for Maven 3.6.1 (#5139) 2019-12-20 10:07:40 +08:00
Philip Hyunsu Cho
ea850ecd20
[CI] Refactor Jenkins CI pipeline + migrate all Linux tests to Jenkins (#4401)
* All Linux tests are now in Jenkins CI
* Tests are now de-coupled from builds. We can now build XGBoost with one version of CUDA/JDK and test it with another version of CUDA/JDK
* Builds (compilation) are significantly faster because 1) They use C5 instances with faster CPU cores; and 2) build environment setup is cached using Docker containers
2019-04-26 18:39:12 -07:00