针对您遇到的错误信息 "cmake_cuda_architectures must be non-empty if set",这里有几个步骤和考虑点来帮助您解决问题: 1. 理解错误信息 这个错误意味着在CMake配置文件中,cmake_cuda_architectures 变量被设置了,但其值为空或者未正确指定。CUDA架构列表是必需的,因为CMake需要根据这些信息来生成适用于特定CUDA...
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。 确保使用的CUDA版本与设置的GPU架构兼容。例如,如果设置了架构为70和75,则需要使用CUDA 9.0及以上版本。 如果仍然出现错误,请检查是否正确安装了CUDA,并确保系统环境变量...
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 rm -rf CMakeCache.txt CMakeFiles 1. cmake .. -DCMAKE_CUDA_ARCH...
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
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 ...
- # kernel, cmake 3.18+ also sets it based on the - # `CMAKE_CUDA_ARCHITECTURES` value. If not set, cmake will explicitly - # pass the compute capability as nvidia's default of 5.2, *EVEN IF* it - # has already been specified in `NVCC_FLAGS`. Because the kernels ...
Running the first cmake command of the following installation instructions: mkdir -p 3rdparty && cd 3rdparty git clone --recursive https://github.com/nvlabs/instant-ngp cd instant-ngp cmake . -B build cmake --build build --config RelWith...
CUDA 的 -arch=sm_75 也是同理,请使用 CUDA_ARCHITECTURES 属性。 并且,-std=c++17 只是GCC 编译器的选项,无法跨平台用于 MSVC 编译器。 使用动态链接库的注意事项(Windows对动态链接很不友好) 文件结构: . ├── CMakeLists.txt ├── main.cpp └── mylib ├── CMakeLists.txt ├── mylib....
Policy CMP0104 is not set: CMAKE_CUDA_ARCHITECTURES now detected for NVCC, empty CUDA_ARCHITECTURES not allowed. Run "cmake --help-policy CMP0104" for policy details. Use the cmake_policy command to set the policy and suppress this warning. CUDA_ARCHITECTURES is empty for target "faiss"....
Why the defaults were wrong before this PR is best explained in my own words from a month ago: enable_language(CUDA) sets CMAKE_CUDA_ARCHITECTURES (assuming CMP0104 is enabled), so any defaults of our own must be set before this. This unfortunately means this code must be moved into the...