ExecuTorch Setup

Set up ExecuTorch

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices; including wearables, embedded devices, and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices. You can learn more by reading the ExecuTorch Overview .

The best practice is to generate an isolated Python environment in which to install your ExecuTorch dependencies. We provide instructions for both a Python virtual environment and a Conda virtual environment, but you only need one.

Create a Python virtual environment

Use the venv module that is available through Python:

    

        
        
python3.10 -m venv executorch-venv
source executorch-venv/bin/activate

    

The prompt of your terminal has executorch as a prefix to indicate the virtual environment is active.

Clone ExecuTorch and install the required dependencies

From within the virtual environment, run the commands below to download the ExecuTorch repository and install the required packages:

    

        
        
git clone https://github.com/pytorch/executorch.git
cd executorch
git checkout release/1.0
git submodule sync
git submodule update --init --recursive
./install_executorch.sh
./examples/models/llama/install_requirements.sh

    

When these scripts finish successfully, ExecuTorch is set up. That means it’s time to dive into the world of Llama models!