否则会在调用显卡时报错RuntimeError: No HIP GPUs are available。
如果你使用的是Ubuntu，他们推荐了设置CUDA的步骤。实际上很容易。请点击这里-https://ubuntu.com/tutori...
9 CUDA on WSL, Release 12.6 Limitations Impact Maxwell GPU is not supported. Maxwell GPUs are not officially supported in WSL 2, but it may still work. Pascal and later GPU is recommended. Unified Memory - Full Managed Memory Support is not available on Windows native and therefore WSL 2 ...
WSL 2 GPU acceleration will be available on Pascal and later GPU architecture on both GeForce and Quadro product SKUs in WDDM mode. It will not be available on Quadro GPUs in TCC mode or Tesla GPUs yet. Ensure you are on the latest WSL Kernel or at least 4.19.121+. We recommend 5.10....
print(f'Name of the device : {torch.cuda.get_device_name(0)}') prints CUDA is available : True Available GPUs : 1 Current device : 0 Current device location : <torch.cuda.device object at 0x7f208388acd0> Name of the device : Quadro P3200 ...
//ubuntu.com/tutorials/enabling-gpu-acceleration-on-ubuntu-on-wsl2-with-the-nvidia-cuda-platform...
To use PyTorch with a framework that works across the breadth of DirectX 12 capable GPUs, we recommend setting up thePyTorch with DirectMLpackage. This package accelerates workflows on AMD, Intel, and NVIDIA GPUs. If you're more familiar with a native Linux environment, then we recommend runnin...
Expected Behavior: The torch.cuda.is_available() function should return True if GPUs are available and accessible. Actual Behavior Observed Behavior: An “Out of Memory” error is triggered internally at ../c10/cuda/CUDAFunctions.cpp:109. The torch.cuda.is_available() function returns False. ...
I cannot spin up a container with the --gpus all flag enabled, and the closest I get to an error is this: 2023-03-23 23:35:23 WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available. 2023-03-23 23:35:23 Use the...
Frameworks, pre-trained models and workflows are available from NGC. DL FRAMEWORKS ›NVIDIA NGC CONTAINERS › Accelerate Analytics and Data Science RAPIDS is an open source NVIDIA suite of software libraries to accelerate data science and analytics pipelines on GPUs. Reduce training time and ...