Hi
CUDA calculations do not work on my system. I think I’m missing an important point somewhere, but I can’t find the error. Can you guys help me with this?
Here are the steps I take for the installation:


Reset Windows 10 Home (64bit - Build 10.0.18.363) and install the latest Updates => OK.


Is the graphics card CUDA compatible? => OK (GeForce GTX 570 Compute Capability 2.0).


Download and install the latest graphics card driver. Use the custom installation, install only the “Graphics Driver” and use the option “Perform a clean installation)”. => OK (Version 391.35)


Download and install Python 3.7.6 amd64. Activate ALL possible options, which are available during the “Customize installation” => OK.


Update PIP in CMD: “python -m pip install --upgrade pip” => OK.


Open the UAC-SettingS in CMD “C:\WINDOWS\System32\UserAccountControlSettings.exe” and set to “Never notify” => OK.


Install Pytorch in CMD “pip3 install torch===1.3.1 torchvision===0.4.2 -f https://download.pytorch.org/whl/torch_stable.html 4”  => OK.


Install Microsoft Visual Studio Community 2019 (16.4.2), Select “Desktop development with C++” at Workloads with default Toolset 14.24 . Start VS once. => OK.


Open in a editor “C:\Program Files\Python37\Lib\site-packages\PIL_init_.py” and add at line 25 this text => OK.
PILLOW_VERSION = ‘2.6.1’
VERSION = ‘1.1.7’


Install Anaconda (Anaconda3-2019.10-Windows-x86_64) in “All Users”. Do not activate the two checkboxes in “Advanced Options” => OK.


Install CUDA (cuda_10.1.105_418.96_win10) with the “Express” installation option => OK.


Copy cuDNN-Files (cudnn-10.1-windows10-x64-v7.6.5.32) to the folders in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1 => OK.


Install dependencies according the manual “conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing” => OK.


Install dependencies that are necessary for my project in cmd “pip install matplotlib tqdm opencv-python pandas scikit-image scikit-learn transformers”


Add  variables in CMD = OK.
set DISTUTILS_USE_SDK=1
set CMAKE_GENERATOR_TOOLSET_VERSION=14.24
set CMAKE_GENERATOR=Visual Studio 16 2019
for /f “usebackq tokens=*” %i in ("%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -latest -products * -latest -property installationPath) do call “%i\VC\Auxiliary\Build\vcvarsall.bat” x64 -vcvars_ver=%CMAKE_GENERATOR_TOOLSET_VERSION%
set CUDAHOSTCXX=C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.24.28314\bin\Hostx64\x64\cl.exe


Add environment variables “path” in advanced system settings => OK.
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin		C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp


Reboot and then check, if a CUDA-device is available => Not OK. “FALSE”
import torch
torch.cuda.is_available()