cmake_minimum_required(VERSION 3.15) project(test) # 方式二 file(GLOB SRC ${CMAKE_CURRENT_SOURCE_DIR}/src/*.cpp) message("===") message(${SRC}) list(REMOVE_ITEM SRC ${CMAKE_CURRENT_SOURCE_DIR}/src/main.cpp) message("===") message(${SRC}) # 添加头文件 include_directories(${PR...
这个错误通常是由于未设置CMAKE_CUDA_ARCHITECTURES变量而导致的。在使用CUDA编译器时,需要指定GPU架构,否则编译器无法确定要为哪种架构生成代码。 解决方法如下: 在CMakeLists.txt中设置CMAKE_CUDA_ARCHITECTURES变量,例如: set(CMAKE_CUDA_ARCHITECTURES60617075) 这里设置了支持的GPU架构为60、61、70和75。 确保使用...
In most cases, you should specify the C++ version (ROOT sets the compiler and linker flags needed, so you can ignore it if using a ROOT target). In CMake < 3.8, that looks like this: set(CMAKE_CXX_STANDARD 11)set(CMAKE_CXX_EXTENSIONSOFF)set(CMAKE_CXX_STANDARD_REQUIREDON) ...
当你在配置一个使用CUDA的CMake项目时,你可能会遇到需要将CUDA的安装路径添加到CMake配置中的情况。这可以通过两种方式实现:将CUDA的安装路径添加到cmake_prefix_path变量中,或者在CMake配置中设置cuda_dir变量。以下是详细的步骤和示例: 1. 确定CUDA的安装路径 首先,你需要知道CUDA安装在哪里。这通常是一个类似/...
export CMAKE_CUDA_ARCHITECTURES="53" 1. Jetson Orin Nano: export CMAKE_CUDA_ARCHITECTURES="80" 1. 通过设置正确的 CUDA 架构,重新运行build.sh脚本应该能解决构建问题。 这时候,如果直接编译是有可能会报错的,需要先删除之前的配置信息和缓存,还有重新设置配置文件。再重新编译 ...
[cmake报错] CMAKE_CUDA_ARCHITECTURES must be non-empty if set. 报错的解释 my solution: 编译时添加 -DCMAKE_CUDA_ARCHITECTURES="70"参数,手动设置CMAKE_CUDA_ARCHITECTURES,参数值根据GPU型号确定。 other solutions: 1.修改cmake代码 2. 降低cmake版本...
7.0.0 CMake Error at /root/install/share/cmake-3.19/Modules/CMakeDetermineCUDACompiler.cmake:100 (message): Could not find nvcc executable in path specified by CUDAToolkit_ROOT=/usr/local/cuda-11.1 Call Stack (most recent call first): CMakeLists.txt:46 (project) -- Configuring incomplete...
set(CMAKE_CXX_STANDARD 17) # 采用 C++17 标准进行编译(默认 11) set(CMAKE_CXX_STANDARD_REQUIRED ON) # 如果编译器不支持 C++17,则直接报错(默认 OFF) set(CMAKE_WIN32_EXECUTABLE ON) #在 Windows 系统中,运行时不启动控制台窗口,只有 GUI 界面(默认 OFF) set(CMAKE_LINK_WHAT_YOU_USE ON) # ...
CMAKE_CUDA_ARCHITECTURES must be valid if set. Call Stack (most recent call first): CMakeLists.txt:1697 (enable_language) " while jetpack 4.61 comes with cuda 10.2 Urgency it is urgent because there is no release of onnx runtime for aarch64 gpu, must build it from source ...
cmake/modules/CUDA.cmake | 25 ++++--- tests/scripts/task_config_build_gpu.sh | 1 - 4 files changed, 6 insertions(+), 24 deletions(-) diff --git a/3rdparty/cutlass_fpA_intB_gemm b/3rdparty/cutlass_fpA_intB_gemm index 1243f910a4..12e0cc70d...