This article introduces how to manually set up Python environments for model conversion across different hardware targets, including CPU, QNN, AMD NPU, and Intel NPU.
We recommend installing your environment in a Python virtual environment or a Conda environment.
Note: if you want to do inference on NPU devices with QNN EP, we recommend using a Python virtual environment. The reason is because inference with some models might require the ARM version of Python, while Conda doesn't support creating an ARM version of Python virtual environments yet.
Tips: you can directly setup NPU environment such as Setup QNN environment. It will fallback to CPU EP when running inference on a model.
Alternatively, you can choose to setup a CPU environment.
Python version: 3.12.9
pip install requirements-CPU.txt
Python version: 3.12.9
pip install requirements-QNN.txt
Python version: 3.10.9
pip install requirements-AMDNPU.txt
Python version: 3.10.9
pip install requirements-IntelNPU.txt
Navigate to model project folder.
pip install requirements.txt