![]() ![]() #make -j4 2.5 Install python package #cd. This issue can be avoided by uninstalling the existing variant before installing the desired XGBoost variant. ![]() DUSE_CUDA=ON -DUSE_NCCL=ON -DNCCL_ROOT=/path/to/nccl2(in my environment, it is /opt/anaconda3/envs/dlipy2/lib) Known issue: In a conda environment where the CPU or GPU XGBoost variant is already installed, there is a known conda issue with installing the other XGBoost variant. ![]() #export CXX=/opt/anaconda3/envs/dlipy2/bin/x86_64-conda_cos6-linux-gnu-g++ #export CC=/opt/anaconda3/envs/dlipy2/bin/x86_64-conda_cos6-linux-gnu-gcc Install XGBoost 2.1 Download the XGBoost #git clone -recursive Ģ.2 Install the build-essential #yum groupinstall "Development Tools"Ģ.3 Initial the environment setting: #. 1.1 Download the cmake binary package: 1.2 Uncompress the package to /usr/local 1.3 Update-alternatives -install /usr/bin/cmake cmake /usr/local/bin/cmake 1 2. The higher version cmake has some problems with it, but you can install it with binary package. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |