遇到“RuntimeError: environment variable CUDA_VISIBLE_DEVICES is not set correctly”这个错误时,通常意味着CUDA环境变量CUDA_VISIBLE_DEVICES没有正确设置。这个环境变量用于指定哪些GPU设备对CUDA程序可见。以下是一些解决步骤: 确认CUDA环境已正确安装并配置: 确保你的系统上已经安装了NVIDIA的CUDA Toolkit,并且驱动也...
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(64-bit runtime) Python platform: Linux-5.10.0-19-amd64-x86_64-with-glibc2.31 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 GPU 1: NVIDIA GeForce RTX 3090 GPU 2: NVIDIA ...
Earlier L4T 35.x (JetPack 5.x) should be able to migrate to newer L4T releases (I have not done so myself, I always just flash) using the existing OTA. It is interesting that the deviceQuery is not showing a GPU, in which case even the correct...
according the error message show, this is an unknown CUDA error, maybe it is caused by wrong configuration. It's very weird! of course I install the GPU driver and configure the CUDA, even have trained many AI models. It is not make sense. ...
[2021-08-27 15:13:12,639] [ERROR] [runner.py:139:fetch_hostfile] Hostfile is not formatted correctly, unable to proceed with training. Traceback (most recent call last): File "/envs/huggingface_deepspeed_python/bin/deepspeed", line 6, in <module> main() File "/envs/huggingface_deepsp...
this is not the right solution since it tries to ssh to worker-1 subprocess.CalledProcessError: Command '['ssh worker-1 hostname -I']' returned non-zero exit status 255. So how does one configure deepspeed to use a specific GPU on a single node?
If I didn't set the CUDA_VISIBLE_DEVICES, the command worked on GPU 0 and 1. Is it possible to set the CUDA_VISIBLE_DEVICES in command line? cofiiwuadded thequestionlabelJun 13, 2019 stalebotadded thewontfixlabelNov 7, 2020 stalebotclosed this ascompletedNov 14, 2020 ...
cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 57 bits virtual Byte Order: Little Endian ...
description: "Container path is not prefixed by 'root'", mounts: []specs.Mount{ { Source: "/dev/null", Destination: filepath.Join("/other/prefix", "GPU0"), }, }, expectedDevices: nil, }, { description: "Container path is only 'root'", mounts: []specs.Mount{ { Source: "/dev...