How to Fix "AssertionError: CUDA unavailable, invalid device 0 requested"
I'm trying to use my GPU to run the YOLOR model, and I keep getting the error:
Traceback (most recent call last):
  File &quot;D:\yolor\detect.py&quot;, line 198, in &lt;module&gt;
    detect()
  File &quot;D:\yolor\detect.py&quot;, line 41, in detect
    device = select_device(opt.device)
  File &quot;D:\yolor\utils\torch_utils.py&quot;, line 47, in select_device
    assert torch.cuda.is_available(), 'CUDA unavailable, invalid device %s requested' % device  # check availablity
AssertionError: CUDA unavailable, invalid device 0 requested

When I try to check if CUDA is available with the following:
python3
&gt;&gt;import torch
&gt;&gt;print(torch.cuda.is_available())

I get False, which explains the problem. I tried running the command
py -m pip install torch1.9.0+cu111 torchvision0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

I get the error: ERROR: Invalid requirement: 'torch1.9.0+cu111'
Running nvcc --version, I get:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_May__3_19:41:42_Pacific_Daylight_Time_2021
Cuda compilation tools, release 11.3, V11.3.109
Build cuda_11.3.r11.3/compiler.29920130_0

Thus, I'm not really sure what the issue is, or how to fix it.
EDIT: As @Ivan pointed out, I added the == sign, but still get False when checking if CUDA is available.

You forgot to put the == signs between the packages and the version number. According to the PyTorch installation page:
py -m pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio===0.9.0 -f https://download.pytorch.org/whl/torch_stable.html

