I am trying to install CUDF from its source file as given in the page (https://github.com/rapidsai/cudf/blob/branch-0.15/CONTRIBUTING.md#setting-up-your-build-environment )
After the following few steps, I cannot complete it by doing the cmake
Build and install libcudf after its dependencies. CMake depends on the nvcc executable being on your path or defined in $CUDACXX.
$ cd $CUDF_HOME/cpp
$ mkdir build
$ cd build
then it says
-DCMAKE_INSTALL_PREFIX set to the install path for your libraries or $CONDA_PREFIX if you're using Anaconda, i.e. -DCMAKE_INSTALL_PREFIX=/install/path or-DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX# -DCMAKE_CXX11_ABI set to ON or OFF depending on the ABI version you want, defaults to ON. When turned ON, ABI compatibility for C++11 is used. When OFF, pre-C++11 ABI compatibility is used.
cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX -DCMAKE_CXX11_ABI=ON
Then it showing errors like the following
cmake: /usr/local/lib/libcurl.so.4: no version information available (required by cmake)
CMake Error at /usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:219 (file):
file failed to open for writing (Permission denied):
/home/CUDF/cudf/cpp/build/CMakeFiles/3.16.3/CompilerIdCUDA/CMakeCUDACompilerId.cu
Call Stack (most recent call first):
/usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:230 (CMAKE_DETERMINE_COMPILER_ID_WRITE)
/usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:32 (CMAKE_DETERMINE_COMPILER_ID_BUILD)
/usr/share/cmake-3.16/Modules/CMakeDetermineCUDACompiler.cmake:72 (CMAKE_DETERMINE_COMPILER_ID)
CMakeLists.txt:18 (project)
CMake Error at /usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:219 (file):
file failed to open for writing (Permission denied):
/home/CUDF/cudf/cpp/build/CMakeFiles/3.16.3/CompilerIdCUDA/CMakeCUDACompilerId.cu
Call Stack (most recent call first):
/usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:230 (CMAKE_DETERMINE_COMPILER_ID_WRITE)
/usr/share/cmake-3.16/Modules/CMakeDetermineCompilerId.cmake:32 (CMAKE_DETERMINE_COMPILER_ID_BUILD)
/usr/share/cmake-3.16/Modules/CMakeDetermineCUDACompiler.cmake:72 (CMAKE_DETERMINE_COMPILER_ID)
CMakeLists.txt:18 (project)
-- The CUDA compiler identification is unknown
-- Check for working CUDA compiler: /home/anaconda3/envs/cudf_dev/
-- Check for working CUDA compiler: /home/anaconda3/envs/cudf_dev/ -- broken
CMake Error at /usr/share/cmake-3.16/Modules/CMakeTestCUDACompiler.cmake:46 (message):
The CUDA compiler
"/home/anaconda3/envs/cudf_dev/"
is not able to compile a simple test program.
It fails with the following output:
Change Dir: /home/CUDF/cudf/cpp/build/CMakeFiles/CMakeTmp
Run Build Command(s):/usr/bin/make cmTC_9f254/fast && /usr/bin/make -f CMakeFiles/cmTC_9f254.dir/build.make CMakeFiles/cmTC_9f254.dir/build
make[1]: Entering directory '/home/CUDF/cudf/cpp/build/CMakeFiles/CMakeTmp'
/usr/bin/cmake: /usr/local/lib/libcurl.so.4: no version information available (required by /usr/bin/cmake)
Building CUDA object CMakeFiles/cmTC_9f254.dir/main.cu.o
/home/anaconda3/envs/cudf_dev/ -x cu -c /home/CUDF/cudf/cpp/build/CMakeFiles/CMakeTmp/main.cu -o CMakeFiles/cmTC_9f254.dir/main.cu.o
make[1]: execvp: /home/anaconda3/envs/cudf_dev/: Permission denied
make[1]: *** [CMakeFiles/cmTC_9f254.dir/build.make:66: CMakeFiles/cmTC_9f254.dir/main.cu.o] Error 127
make[1]: Leaving directory '/home/CUDF/cudf/cpp/build/CMakeFiles/CMakeTmp'
make: *** [Makefile:121: cmTC_9f254/fast] Error 2
CMake will not be able to correctly generate this project.
Call Stack (most recent call first):
CMakeLists.txt:18 (project)
-- Configuring incomplete, errors occurred!
See also "/home/CUDF/cudf/cpp/build/CMakeFiles/CMakeOutput.log".
See also "/home/CUDF/cudf/cpp/build/CMakeFiles/CMakeError.log".
k@k-HP:~/CUDF/cudf/cpp/build$
What should I do with this step?
P.s : my anaconda path is like /home/anaconda3/ and cudf environment path is like /home/anaconda3/envs/cudf_dev
Please note that cudf 0.15 does not support CUDA 10.0 and python 3.6.
It seems to be a CUDA/permissions issue.
Did you install/ build your conda env as root and now you are trying to run build as a user?
What is your output for nvidia-smi
?
Also if you have the CUDA toolkit installed and the env's cuda version matches the CUDA version shown in nvidia-smi. Then i would recommend that you try running ./build.sh
command from /home/CUDF/cudf/
folder. Running ./build.sh
works for me.
In case the above solutions do not work you can always file an issue in the cudf repo (https://github.com/rapidsai/cudf/issues) and please provide the output of file print_env.sh
.
You can also install the nightly version of cudf-0.15 by using the following command :
conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults cudf=0.15 python=3.7 cudatoolkit=10.1
You need to update the cudatoolkit
version depending on the CUDA toolkit version you have installed in your system.