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``` (cpu-windows)= ## Windows Click [here to download Python 3.12.8](https://www.python.org/ftp/python/3.12.8/python-3.12.8-amd64.exe) or find the latest release of Python [here python.org/downloads/windows/](https://www.python.org/downloads/windows/) select *Windows installer (64-bit)* ```{note} Python 3.13 has not been verified. ``` Follow the steps in the [Python documentation](https://docs.python.org/3.12/using/windows.html#installation-steps) after executing the installer. Once you complete the installation, open a [Windows PowerShell](https://learn.microsoft.com/en-us/powershell/scripting/windows-powershell/starting-windows-powershell?view=powershell-7.4#from-the-start-menu). Confirm that Python is installed by checking the version ```sh python -c "import sys; print(sys.version)" ``` Continue by [creating the venv](#cpu-venv). (cpu-linux)= ## Linux We will use a [Python virtual environment](https://docs.python.org/3/library/venv.html) (venv) to install the dependencies. Open a new terminal and install `python3-venv`. ```sh sudo apt install python3-pip python3-venv libgl1 ``` Confirm that Python is installed by checking the version ```sh python3 -c "import sys; print(sys.version)" ``` Continue by [creating the venv](#cpu-venv). (cpu-venv)= ## Create venv Navigate to a directory where you would like to create the `venv`, then create the `venv`. ``````{tab-set} `````{tab-item} Linux ```sh cd /path/to/directory/ mkdir aupai python3 -m venv aupai ``` ````` `````{tab-item} Windows ```sh cd /path/to/directory/ mkdir aupai python -m venv aupai ``` ````` `````` Activate the `venv`. ``````{tab-set} `````{tab-item} Linux ```sh source aupai/bin/activate ``` ````` `````{tab-item} Windows PowerShell ```sh ./aupai/Scripts/Activate.ps1 ``` ````` `````{tab-item} Windows CMD ```sh ./aupai/Scripts/activate.bat ``` ````` `````` Confirm that you are inside the `venv`. ```sh python -c "import sys; print(f'Running on venv: {sys.prefix != sys.base_prefix}')" ``` ```{note} You can deactivate the `venv` with `deactivate`. ``` Continue by [installing package dependencies](#cpu-install-dependencies). (vs-code)= ## Visual Studio Code If you prefer working from a code editing tool, you can setup VS Studio code. 1. [Install VS Code](https://code.visualstudio.com/download). 1. [Get started with Python in VS Code](https://code.visualstudio.com/docs/python/python-tutorial) 1. [Create a virtual environment](https://code.visualstudio.com/docs/python/python-tutorial#_create-a-virtual-environment) (cpu-install-dependencies)= ## Install Package Dependencies Inside the `venv` execute the following to install the necessary dependencies. ```sh python -m pip install "torch>2.3" "numpy<2" torchvision fvcore python -m pip install av validators matplotlib jupyterlab jupyter transformers SentencePiece accelerate ultralytics==8.0.196 wheel python -m pip install tiktoken einops pytest Pillow Requests jupyterlab_myst torchinfo "onnx>=1.16.2" netron tqdm shap kaggle roboflow==1.1.47 pickleshare python -m pip install jupyter-book sphinxcontrib-mermaid sphinx_design ``` ```{note} If you are using VS Code, you can open a new terminal by `` Ctrl+Shift+` `` or `Terminal > New Terminal`. For more information, checkout [Install and use packages](https://code.visualstudio.com/docs/python/python-tutorial#_install-and-use-packages). ``` This process can take a few minutes to download and install. You are now all set to get started with pre-trained models in AMD CPUs. ---------- Copyright (C) 2025 Advanced Micro Devices, Inc. All rights reserved. SPDX-License-Identifier: MIT