当遇到“no cuda-capable device is detected”这个错误时,通常意味着系统没有正确识别到支持CUDA的GPU设备。这个问题可能由多种原因引起,下面我将根据您的提示,分点回答并尽可能给出相关的解决方案或检查步骤: 1. 确认CUDA是否已正确安装 检查CUDA安装: 在命令行(如CMD、Terminal或PowerShell)中,可以输入nvcc --...
An error similar to the following occurs during the running of the program:1. 'failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected' 2. 'No CU
就单独执行文件报错
日志提示"No CUDA-capable device is detected" requirements are installed’ 原因分析 出现该问题的可能原因如下: 用户/训练系统,将CUDA_VISIBLE_DEVICES传错了,检查CUDA_VISIBLE_DEVICES变量是否正常。 用户选择了1/2/4卡这些规格的作业,然后设置了CUDA_VISIBLE_D ...
Error code: no CUDA-capable device is detected CUDA exception! Error code: initialization error CUDA SETUP: CUDA runtime path found: /usr/local/cuda-11.7/lib64/libcudart.so /home/win10-ubuntu/anaconda3/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: ...
no CUDA-capable device is detected,或者GPU is lost 出现以下问题,程序只能运行一次,而且每运行一次显卡就不见了,出现以下情况,只能重启才可以再次检测到: 最后解决: 我本来安装的是cuda9.0 但是(下面显示是10): 起初是因为说他表示最高可以到达cudaV10,最后检查驱动发现真的安装了V10驱动,他是不匹配V9的:...
failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 这就有点奇怪了,刚开始以为是程序停止了但GPU还被占用,于是用nvidia-smi查看了一下,发现报错 Unable to determine the device handle for GPU 0000:01:00.0: GPU is lost. Reboot the system to recover this GPU ...
2023-11-28 16:42:02.573007: E tensorflow/stream_executor/cuda/cuda_driver.cc:328] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2023-11-28 16:42:02.573069: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic informationforhost...
OpenCV Error: Gpu API call (no CUDA-capable device is detected) in setDevice... terminate called after throwing an instance of 'cv::Exception' And you are sure that the CUDA enabled graphics card is there. There are a set of things to check when the above happens. ...
I followed the directions for the "Linux NVIDIA GPU support and Windows-WSL" section, and below is what my WSL now shows, but I'm still getting "no CUDA-capable device is detected". What am I missing? $ PGPT_PROFILES=local poetry run python -m private_gpt ...