我正在尝试构建一个需要 CUDA 的程序。对于我提供的 CMake 脚本: cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. 找到CUDA,CMake正常运行: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. -- Found CUDA: /usr/local/cuda (found version "6....
不同之处在于我使用 Cmake 3.5 和 CUDA Toolkit 9.0: cmake_minimum_required(VERSION 3.5) project( myproject) find_package(CUDA 9.0 REQUIRED) if(CUDA_FOUND) list(APPEND CUDA_NVCC_FLAGS "-std=c++11") endif(CUDA_FOUND) cuda_add_library(mylib SHARED mycudalib.cu) cuda_add_executable(test_...
1.cmake编辑opencv的源代码路径（带有makelist的目录），生成opencv相关lib文件.configure两次后，点击生成...
CUDA 也加入了 CMake 支持的各种语言, 平台, 编译器和 IDE. CMake 广泛用于 C 和 C++ 语言,但它也可用于构建其他语言的源代码. 安装工具 要使用 CUDA, 当然首要至少要有一个 NVIDIA 的 GPU 设备. 然后安装以下工具 : CUDA Toolkit : Download CUDA Toolkit CMake : Linux(Ubuntu) 系统可以通过命令 sudo...
7 packages not processed The command ‘/bin/bash -c . /opt/ros/$ROS_DISTRO/install/setup.sh && colcon build --merge-install --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release’ returned a non-zero code: 1 I noticed that the CUDA Toolkit 11.4 has an option to target ...
[cmake] -- Found CUDAToolkit: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.4/include (found version "11.4.100") [cmake] -- Could NOT find OpenACC_CXX (missing: OpenACC_CXX_FLAGS) (found version "1.0") [cmake] -- OpenACC_FOUND = ...
sudo aptitude install nvidia-cuda-toolkit 这样搞完验证一下显卡驱动, nvidia-smi 如果输出如下,就应该可以上车了。 ---+ | NVIDIA-SMI 535.86.05 Driver Version: 535.86.05 CUDA Version: 12.2 | |---+---+---+ | GPU Name Persistence-M |...
"C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0/bin/nvcc.exe" is not able to compile a simple test program. I tested with visual studio 2019 + cuda 10.1, and solved the problem. @SpaceViewon ubuntu, I add set(CMAKE_CUDA_COMPILER "/usr/local/cuda-9.0/bin/nvcc") ...
Running Ubunt 22.04 with CUDA 12installed from NVIDIAat/usr/local/cuda-12.2, the installation is not able to find theCUDA library root. What could be going wrong? $ CMAKE_ARGS="-DLLAMA_CUBLAS=on -DCUDA_PATH=/usr/local/cuda-12.2 -DCUDAToolkit_ROOT=/usr/local/cuda-12.2" FORCE_CMAKE=...
find_package(CUDA) if(CUDA_FOUND) try_run(RUN_RESULT_VAR COMPILE_RESULT_VAR ${CMAKE_BINARY_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/has_cuda_gpu.c CMAKE_FLAGS -DINCLUDE_DIRECTORIES:STRING=${CUDA_TOOLKIT_INCLUDE} -DLINK_LIBRARIES:STRING=${CUDA_CUDART_LIBRARY} ...