关于你提到的ValueError: libcublas.so.*[0-9] not found in the system path错误,这通常是由于系统无法找到所需的CUDA库文件(如libcublas.so)所导致的。以下是针对该问题的详细解决步骤: 确认系统环境及CUDA版本: 首先,确保你的系统中安装了正确的CUDA版本,并且该版本与你的TensorFlow安装兼容。 检查TensorFlow官...
【已解决】Bug5. version libcublasLt.so.11 not defined in file libcublasLt.so.11 with link time reference. 原因是pytorch与CUDA版本不一致 linux命令行输入以下代码查看CUDA版本,显示为11.0 nvcc -v 通过PyTorch官网可以查找到与11.0适配的信息,然后输入以下命令安装: conda install pytorch==1.7.0 torchvision...
Once done, it cause the same: Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory That happens becauselibcublas.so.10sits in/usr/local/cuda-10.2/lib64(surprise from nvidia - installation of 10.1 installs so...
I'm not sure if this is related, but neitherlibcublas.so.11norlibcudnn.so.8are found when installing PyTorch in a Hatch/VirtualEnv (notvenv) environment. The reason is that in VirtualEnv environments (which Hatch also uses),<env>/libandenv/lib64are distinct directories, and not symlinked...
After several days attempting, I found the reason was that: in the singularity, the directory (/cm/shared/apps/) contains 'libcublas.so.10.0' cann't be seen in the singularity. Knowing the reason, it's easy to solve. Solution: just using --bind. ...
1. 问题:使用yolo的时候, 1 fromultralyticsimportYOLO. 然后报错: libcublas.so.11: symbol cublasLtGetStatusString version libcublasLt.so.11 not defined in file libcublasLt.so.11 with link time reference 2. 解决方案: 1 pip uninstall nvidia_cublas_cu11 ...
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths... CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so CUDA SETUP: Highest compute capability among GPUs detected: 8.6 ...
@TimonzimmI know and I think the whole issue is this f** naming libcublas.so.xxx that nvidia puts. This inherently is mismatch on linux systems whenever that number changes, so since it can not find the exact matches then it thinks the file doesn't exist and throws the error. ...
/usr/lib/python3.5/imp.py in load_dynamic(name, path, file) 341 name=name, loader=loader, origin=path) --> 342 return _load(spec) 343ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directoryDuring handling of the above exception, another exception occurred...
OSError: /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/nvidia/cublas/lib/libcublas.so.11: symbol cublasLtGetStatusString, version libcublasLt.so.11 not defined in file libcublasLt.so.11 with link time reference Expected Behavior ...