在VS Code中,你需要创建一个编译任务来构建CUDA程序。这可以通过创建`tasks.json`文件来完成,该文件也位于`.vscode`目录下。添加如下内容: json { "version": "2.0.0", "tasks": [ { "label": "build", "type": "shell", "command": "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11...
默认在C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.5/include\crt\host_config.h之类的目录下面,找不到文件直接搜索crt\host_config.h,但是会搜到两个文件,记得选crt目录下面的host_config.h,打开文件之后编辑文件
4 (found version "12.4") [cmake] -- The CUDA compiler identification is NVIDIA 12.4.99 [cmake] -- Detecting CUDA compiler ABI info [cmake] -- Detecting CUDA compiler ABI info - done [cmake] -- Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v...
gineshidalgo99 changed the title RTX 2080 Ti issue - Check failed: error == cudaSuccess (8 vs. 0) invalid device function CUDA 10 (RTX 20XX cards) compatibility with Windows - Check failed: error == cudaSuccess (8 vs. 0) invalid device function Feb 24, 2019 JakeMalis commented Feb 24...
看起来cuda环境没啥问题,不过我们没有验证过 cuda driver version 11.6的情况。建议使用docker试一下吧:paddlepaddle/paddle:2.2.2-gpu-cuda10.2-cudnn7 docker安装文档:https://www.paddlepaddle.org.cn/documentation/docs/zh/install/docker/linux-docker.html Author gyg123456 commented Jan 27, 2022 是不是将...
CUDA 10.0 nvcc 10.0 (显卡驱动好像显示10.1 不一样好像无伤大雅 python 3.6 pytorch 版本要在[1.1,1.4]之间,1.5会出问题:AT_CHECK未声明: 前期一直都在visual studio 和cuda版本匹配上花时间。 尽量老老实实用2017,VS 2019到后面及时修改了cuda 10.0配置文件也会出一些问题。
This guide will show you how to install and check the correct operation of the CUDA development tools. 1.1. System Requirements To use CUDA on your system, you will need the following installed: A CUDA-capable GPU A supported version of Microsoft Windows ...
CUDA Toolkit下载连接:https://developer.nvidia.com/cuda-toolkit-archive(我下载的是12.3,当时的最新版) cuDNN Archive | NVIDIA Developer下载链接:https://developer.nvidia.com/rdp/cudnn-archive(我下载的是v8.9.5,能支持CUDA 12.x) 第一步先将NVIDIA驱动更新到最新版,我当时不是最新版碰到无法安装的问题...
This guide will show you how to install and check the correct operation of the CUDA development tools. 1.1. System Requirements To use CUDA on your system, you will need the following installed: A CUDA-capable GPU A supported version of Microsoft Windows ...
cuda9.0支持的_MSC_VER:见C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include\crt\host_config.hif _MSC_VER < 1600 || _MSC_VER > 1911 选择在[1600-1911]的MSCV++,否则可能出现fatal error C1189: #error: STL1001: Unexpected compiler version, expected MSVC 19.15 or newer. ...