Who is this for?
This is an advanced topic for developers who want to understand and debug the model preparation flow used by Arm neural technology in neural graphics pipelines.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Build and export a PyTorch model for ExecuTorch
- Generate `.vgf` artifacts with the ExecuTorch VGF backend
- Visualize model structure and generated artifacts using Model Explorer
- Inspect TOSA intermediate representation when you need to debug operator lowering
- Validate the generated model with an ExecuTorch runner and connect it to ML Extensions for Vulkan workflows
Prerequisites
Before starting, you will need the following:
- Basic PyTorch and Python experience
- A Linux machine or macOS machine with Apple Silicon
- Python version greater than 3.10 and less than 3.14, and Git installed