I’m running with the following environment:
Windows 10
python 3.12.0
CUDA Version: 12.9 (according to `nvidia-smi`)
torch: 2.7.1
I did not find 12.9 at installation settings so i choose the nearest version 12.8
I’m running the following code:
import torch
print(f"Version: {torch.__version__}, GPU: {torch.cuda.is_available()}, NUM_GPU: {torch.cuda.device_count()}")
And I’m getting:
Version: 2.7.1+cpu, GPU: False, NUM_GPU: 0
What is wrong ?
Your locally installed CUDA toolkit won’t be used as PyTorch ships with its own CUDA runtime dependencies.
Based on:
You have installed the CPU-only binary and the installation log should have shown this.
Oh thanks for replying, but i just used container and feel it easier.
Tried with below which is latest as of today and it works for me.
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
nope. this works pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu129
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