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...
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
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...
CMake Error at /usr/share/cmake-3.24/Modules/CMakeDetermineCUDACompiler.cmake:277 (message): CMAKE_CUDA_ARCHITECTURES must be non-empty if set. Call Stack (most recent call first): CMakeLists.txt:11 (project) -- Configuring incomplete, errors occurred! See also "/home/narvi/apps/instant...
If you are using Ubuntu 16.04 LTS and CUDA 9.2, you can follow the steps in the next section on this page for compilation. For other versions of Ubuntu or CUDA, we provide the pre-built Docker image and Dockerfile for running SoftGym. Please refer to ourDockerpage. ...
linux-gnu/ -DCMAKE_C_COMPILER=/usr/bin/gcc -DTRT_BIN_DIR=`pwd`/out Building for TensorRT version: 7.0.0.1, library version: 7.0.0 CMake Error at /root/install/share/cmake-3.19/Modules/CMakeDetermineCUDACompiler.cmake:166 (message): Could not find nvcc, please set CUDAToolkit_ROOT. ...
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Build Error: "Error: Failed to write to log file "C:\". Access to the path 'C:\' is denied" Building a Project (Configuration: makefile) Building a Windows Forms Application in C++ environment builtin type size differences between 32 bit and 64 bit in Visual C++ Button background color...
CMAKE_CUDA_ARCHITECTURES must be non-empty if set. Call Stack (most recent call first): CMakeLists.txt:11 (project) -- Configuring incomplete, errors occurred! See also "/home/.../instant-ngp/build/CMakeFiles/CMakeOutput.log".