在解决“could not find cuda”这一问题时,我们可以按照以下步骤进行排查和修复: 确认CUDA是否已经正确安装: 你可以通过在终端(或命令提示符)中运行nvcc --version来检查CUDA Toolkit是否已安装及其版本。如果系统返回了CUDA的版本信息,那么CUDA Toolkit已经安装。如果没有返回任何信息,可能表示CUDA未安装或安装路径未...
import importlib import traceback from typing import Callable from unittest.mock import patch def find_cuda_init(fn: Callable[[], object]) -> None: """ Helper function to debug CUDA re-initialization errors. If `fn` initializes CUDA, prints the stack trace of how this happens. """ from...
Find CUDA Browse files dsa-onebeam kiranshila committed May 6, 2023 Verified 1 parent 3b9179f commit c0cd2fb Showing 1 changed file with 2 additions and 0 deletions. Whitespace Ignore whitespace Split Unified 2 changes: 2 additions & 0 deletions 2 CMakeLists.txt Original file line ...
运行ld -lcuda --verbose发现各种attempt都无法打开lcuda.so,这说明lcuda无法被gcc找到。 这是因为在WSL中不需要安装nvidia驱动,通过特殊的配置使得linux可以访问windows中的nvidia驱动。这导致cuda libraries(即lcuda)被储存在特殊的\usr\lib\wsl\lib中,因此我们可以cp \usr\lib\wsl\lib\* \usr\lib把所需的cud...
using the FindCuda.cmake utility downloaded fromhttp://www.sci.utah.edu/~abe/FindCuda.html. I successfully got the example available in the download to work. Using that example as a template, I attempted to extract the relevant parts of the CMakeList.txt files and apply the same structure...
NVCC = /usr/local/cuda/bin/nvcc (新建,注意自己本机的地址) 二. 此时make产生错误 /usr/bin/ld: cannot find -lcuda 1. 查看MakeFile文件找到该行代码: LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand 2. 查看路径/usr/local/cuda/lib64下是否存在libcuda.so文件。如果存...
公司换服务器,需要做代码迁移,需要重新安装cuda cudnn等包,我使用scp命令将安装包复制过来,并且conda环境都是打包过来的,但是在部署模型服务时,TensorFlow提示找不到gpu,使用cpu代替。 2. 测试 检测TensorFlow gpu是否可用代码: importtensorflowastfgpus=tf.config.experimental.list_physical_devices(device_type='GPU...
Check if the path to the CUDA toolkit is set in the environment variables. You can do this by running the commandecho $PATHin the terminal. The output should include the path to the CUDA toolkit. Verify that the NVIDIA graphics card drivers are up to date. ...
Hi everyone, I’ve been using CMake (Kitware’s cross platform build system) with Cuda for quite some time now. CMake eliminates the need to modify visual studio build configuration manually to invoke nvcc. I’ve finally …
import importlib import traceback from typing import Callable from unittest.mock import patch def find_cuda_init(fn: Callable[[], object]) -> None: """ Helper function to debug CUDA re-initialization errors. If `fn` initializes CUDA, prints the stack trace of how this happens. """ from...