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:
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Reset Windows 10 Home (64bit - Build 10.0.18.363) and install the latest Updates => OK.
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Is the graphics card CUDA compatible? => OK (GeForce GTX 570 Compute Capability 2.0).
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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)
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Download and install Python 3.7.6 amd64. Activate ALL possible options, which are available during the “Customize installation” => OK.
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Update PIP in CMD: “python -m pip install --upgrade pip” => OK.
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Open the UAC-SettingS in CMD “C:\WINDOWS\System32\UserAccountControlSettings.exe” and set to “Never notify” => OK.
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Install Pytorch in CMD “pip3 install torch===1.3.1 torchvision===0.4.2 -f https://download.pytorch.org/whl/torch_stable.html” => OK.
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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.
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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.
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Install CUDA (cuda_10.1.105_418.96_win10) with the “Express” installation option => OK.
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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.
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Install dependencies according the manual “conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing” => OK.
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Install dependencies that are necessary for my project in cmd “pip install matplotlib tqdm opencv-python pandas scikit-image scikit-learn transformers”
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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()