Running following returns false:
import torch
torch.cuda.is_available()
nvidia-smi output: (driver version seems compatible with CUDA version)
±----------------------------------------------------------------------------+
| NVIDIA-SMI 442.19       Driver Version: 442.19       CUDA Version: 10.2     |
|-------------------------------±---------------------±---------------------+
| GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1650   WDDM  | 00000000:01:00.0 Off |                  N/A |
| N/A   49C    P8     5W /  N/A |    132MiB /  4096MiB |      0%      Default |
±------------------------------±---------------------±---------------------+
Using Python 3.7.6
Windows 10 laptop with NVIDIA GeForce  GTX 1650
Torch version 1.4.0
Running deviceQuery and bandwidthTest returns all tests PASS successfull
torch.version.cuda returns none.
torch.backends.cudnn.enabled returns true.
Could not find a solution, tried re-installing Conda, CUDA, drivers, Pytorch - did not help.
Solution found: conda remove cpuonly