- 1 year ago
How to add the path of CUDA compiler in CMake under WSL?
To add the path of the CUDA compiler in CMake under WSL (Windows Subsystem for Linux), you can follow these steps:
Install the CUDA toolkit inside the WSL environment. You can follow the official NVIDIA CUDA installation guide for Linux.
Once CUDA is installed in the WSL environment, you can find the path of the CUDA compiler (
nvcc
) using thewhich
command. Open a terminal in WSL and run the following command:bashwhich nvcc
This will display the path to the CUDA compiler, such as
/usr/local/cuda/bin/nvcc
.In your CMake project, add the following lines to your
CMakeLists.txt
file to set the path of the CUDA compiler:cmakeset(CUDA_TOOLKIT_ROOT_DIR "/usr/local/cuda")
set(CMAKE_CUDA_COMPILER "/usr/local/cuda/bin/nvcc")
Adjust the path
/usr/local/cuda
and/usr/local/cuda/bin/nvcc
based on the actual paths you obtained in step 2.Use the CUDA-related CMake commands and variables in your project as needed. For example, you can use
find_package(CUDA)
to locate the CUDA libraries and include directories, or use theCUDA_ADD_EXECUTABLE
command to build CUDA-enabled executables.Here's a simple example of using CUDA in CMake:
cmakecmake_minimum_required(VERSION 3.12)
project(MyCudaProject LANGUAGES CUDA CXX)
add_executable(my_app main.cu)
This CMakeLists.txt file sets up a CUDA project with a main CUDA source file named
main.cu
. You can add more CUDA source files or adjust the project structure as needed.
Make sure to configure and build your CMake project inside the WSL environment to ensure the correct CUDA configuration.