Why my WSL torch.cuda_isavaliable() return false?

deployment
1

Yet i have build the installCuda.sh from NVIDIA yet
And when i using cuDF(a CUDA GPU acclerated Pandas Lib),it runs well,but torch is not good.

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But the weried thing is it works on my Windows Host very well,What?What Hell?
How should fix this bug guys?Plz!

2

You might have installed the CPU-only binary and you could check it with e.g. python -m torch.utils.collect_env. This post had similar issues and managed to pick the right version.

3

Thanks bud,but after i using your method,it still can not using CUDA.Thats what i recieved
Collecting environment information…
PyTorch version: 1.11.0+cu115
Is debug build: False
CUDA used to build PyTorch: 11.5
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31

Python version: 3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:25:59) [GCC 10.3.0] (64-bit runtime)
Python platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.31
Is CUDA available: False
CUDA runtime version: Could not collect
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2060
Nvidia driver version: 511.65
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.21.5
[pip3] torch==1.11.0+cu115
[pip3] torchaudio==0.11.0+cu115
[pip3] torchvision==0.12.0+cu115
[conda] cudatoolkit 11.5.1 hcf5317a_9 nvidia
[conda] numpy 1.21.5 py39haac66dc_0 conda-forge
[conda] torch 1.11.0+cu115 pypi_0 pypi
[conda] torchaudio 0.11.0+cu115 pypi_0 pypi
[conda] torchvision 0.12.0+cu115 pypi_0 pypi