Windows + anaconda + pycharm + nvidia + cuda + cudnn + pytorch installation tutorial

I want to learn pytorch, so I can't install a sub-environment?

View graphics card information

Operation: Start - Right click - Device Manager - Display Adapters.

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View cuda version

Operation: NVIDIA in the lower right corner - right click - NVIDIA Control Panel - System Information - Components.

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install cuda

Go to the CUDA official website to download the cuda10.2 version.

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After downloading, double-click the exe file, change the directory, and decompress it.

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After the decompression is complete, it will automatically enter the installation process.

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Follow the installation prompts to install by default.

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installing.
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Check if the installation was successful.

nvcc -V

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Success!

install cudnn

Go to the CUDNN official website to download the cudnn corresponding to the cuda10.2 version.

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After downloading, unzip and copy the bin, include, and lib files in the CUDNN package directly to the CUDA installation directory (C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2).

There will be an admin rights issue here.

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Click the checkmark before "Do this for all current projects" and then click Continue.

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Configure cuda environment variables

There are already two.
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Three more to be added.

The CUDA Samples are not found at first, but the start menu is visible.

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Just open it.

Later, it was found that there are bin and libnvvp in the PATH of the system variable.

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Configure cudnn environment variables

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install pytorch

Check the python version in conda.
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Create a virtual environment in conda.

wxm_pytorch is the virtual environment name.

conda create -n wxm_pytorch python=3.7

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Click y.

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Activate the virtual environment.

conda activate wxm_pytorch

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Enter the pytorch official website and select the configuration item.

conda install

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conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch

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Enter y and wait for the installation.

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Okay.

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Wrong.

Delete the failed virtual environment first.

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Again.

pip install

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pip3 install torch==1.10.2+cu102 torchvision==0.11.3+cu102 torchaudio===0.10.2+cu102 -f https://download.pytorch.org/whl/cu102/torch_stable.html

It's ready.

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have a test:

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happy heart.

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I saw torch.

first demo

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finally! ! !