大师用车|行车记录仪应该如何选购 画面清晰重
百度 而怀孕后体内循环血量和每搏输出血量的增加则可能导致无症状动脉瘤破裂，间接增加出血性脑卒中的发生。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.
- CPU: Setup CPU environment
- QNN: Setup QNN environment
- AMD NPU: Setup AMD NPU environment
- Intel NPU: Setup Intel NPU environment
Setup CPU environment
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
Setup QNN environment
Python version: 3.12.9
pip install requirements-QNN.txt
Setup AMD NPU environment
Python version: 3.10.9
pip install requirements-AMDNPU.txt
Setup Intel NPU environment
Python version: 3.10.9
pip install requirements-IntelNPU.txt
Install requirements for target project
Navigate to model project folder.
pip install requirements.txt