GradientSumT=xgboost::detail::GradientPairInternal, T::bst_node_t,xgboost::bst_node_t,UpdatePositionOpT)' being compiled Tree::Node,xgboost::FeatureType,xgboost::common::Span>(xgboost::bst_node_t,xgboos UHistMakerDevice::UpdatePosition(int,xgboost::RegTree *),1>,xgboost::EllpackDeviceAccessor,xgboost::Reg Nce to function template instantiation 'void xgboost::tree::RowPartitioner::UpdatePosition::* )(int,xgboost::RegTree *),void xgboost::tree::GP target install -config ReleaseĪ slew of compilation messages ensues, but always seems to stop at C:\Users\Parents\AppData\Local\Temp\tmpxft_00005ba0_00000000-7_updater_gpu_(150): note: see refere I then invoke the build as: cmake -build. I don’t notice anything out of the ordinary, except perhaps for not having backtrace, but I saw no mention of that in the docs. I followed all the directions at the install page, and I have a working GPU-version of keras/tensorflow in R, so I know I have the proper files. Owning an RTX 3080, I want to take advantage of the GPU. I’ve used it via R (CPU only) many times and really appreciate it. Before anything, I want to thank the authors and maintainers for their work with xgboost. To configure the python wrapper follow these steps: Your xgboost files are now in the xgboost\build\Release directory. C:\Program Files (x86)\MSBuild\14.0\Bin\msbuild.exe /t:Clean,Rebuild /p:Configuration=Release xgboost.sln.G”Visual StuWin64” -DPLUGIN_UPDATER_GPU=ON -DCUB_DIRECTORY=.\.\cub-1.6.4 Edit: For GPU support use command: C:\dev\cmake-3.6.2-win64-圆4\bin\cmake.exe.I downloaded the 64 bit zip file: and unzipped it to c:\dev\cmake-3.6.2-win64-圆4. This is how I managed to build XGBoost on my environment: Congratulations to the XGBoost team who have sorted out a lot of issues with XGBoost build on windows.
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