遇到“runtimeerror: cuda driver initialization failed, you might not have a cuda gpu”这个错误时,通常意味着CUDA环境配置有问题或者你的系统不支持CUDA。以下是一些可能的解决步骤: 确认系统中是否安装了CUDA支持的GPU: 你可以通过运行一些工具来检查你的GPU是否支持CUDA。例如,在Linux系统中,你可以使用lspci ...
In [1]: import torch In [2]: torch.cuda.is_available() /home/liyx/.conda/envs/py39/lib/python3.9/site-packages/torch/cuda/__init__.py:107: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at ../c10/cuda/CUDAF...
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Assign User on Comment UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. #48319 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue July 19, 2024 20:54 mikaylagawarecki commented on #131117 c64ad24...
报错,显示无cuda..RuntimeError : CUDA driver initialization failed , you might not have a CUDA gpu .咋办啊显卡1063用的399.24驱动组策略禁止显卡驱动更新
/opt/platformx/sentiment_analysis/gpu_env/lib64/python3.8/site-packages/torch/cuda/__init__.py:82: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:112.) ...
问Cuda驱动程序初始化失败EN每次为了减少初始化的工作量，可以写入下面的宏。 #define CUT_DEVICE_INIT(...
It also requires driver release 460.27.04 or later. So my Cuda version matches, my driver versions match. However, when I am running my trt_convert.py script, I get the error: [TensorRT] ERROR: CUDA initialization failure with error 35. Please check your CUDA installation: CUDA I...
The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation. CUDA_ERROR_NOT_INITIALIZED = 3 This indicates that the CUDA driver has not been initialized with cuInit() or that initialization has failed. CUDA_ERROR_DEINITIALIZED = ...
/root/miniconda3/lib/python3.9/site-packages/torch/cuda/init.py:88: UserWarning: CUDA initialization: CUDA driver initialization failed, you might not have a CUDA gpu. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:109.) return torch._C._cuda_getDeviceCount() > 0 ...