I have the follow result running python -m torch.utils.collect_env:
PyTorch version: 1.13.1+cpu
Is debug build: False
CUDA used to build PyTorch: Could not collect
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 10 Pro
GCC version: Could not collect
Clang version: Could not collect
CMake version: Could not collect
Libc version: N/A
Python version: 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.19045-SP0
Is CUDA available: False
CUDA runtime version: 12.1.66
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4080
Nvidia driver version: 531.14
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] lion-pytorch==0.0.7
[pip3] numpy==1.24.1
[pip3] PaLM-rlhf-pytorch==0.0.65
[pip3] torch==1.13.1
[pip3] torchaudio==0.13.1+cu117
[pip3] torchvision==0.14.1+cu117
[conda] Could not collect
When I run (torch.cuda.is_available()) it returns False. I see that I have installed pytorch 1.13.1+cpu, but after numerous reinstalls it is still 1.13.1+cpu. How do I change it to not be +cpu?