Jupyter notebook, PyTorch, GPU, Visual Studio: Using GPU for machine learning on window 11
1) Install CUDA
https://developer.nvidia.com/cuda-dow...
a) Select Windows 11
b) Select your version
c) Select ex(network) (when installing, select Custom, check all the boxes. The next and close)
2) Download Visual Studio Code 2022:
https://visualstudio.microsoft.com/vs/
3) Go to PyTorch home page: https://pytorch.org/
a) Select Getting Started
b) Select ( LTS, pip , Windows, PyTorch, and CUDA )
4) create a new python environment
a) In Visual Studio, select files, then new project, then Python application, then next
b) In the File Project Name: Type your project name
c) Keep this page open
d) In the C drive, create a new file: I Call it MyPythonEnvironment
e) Go back to c) right click on python environment and select Add environment (for the name, type your preferable name . in my case, I consider MyTorchenv, check the boxes (Set as current environment and Make this environment available globally )
f) In The last field, Type the same name as in e)
5) Click on Change virtual environment location (select the location MyPythonEnvironment created in 4-d)
6) Select Create
7) Now, on the Visual Studio code, under your project name (name created at 4-a) and under Python Environments, right-click on MyTorchenv (Environment Created in 4)
To open a Command Prompt Here …
8) Go back to 3) (do 3 and select the command for installation)
Note: get python 3.8 on the link below :
UNDER Files, click on your desired version
https://www.python.org/downloads/rele...
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