# 架构

Qualcomm AI 产品包括硬件加速器和 AI SDK，以充分利用硬件的强大功能。
![../_images/ai_arch.png](data:image/png;base64,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)
## AI 硬件加速器

AI 工作负载可以在多个硬件核心上加速：

- Qualcomm^®^ Hexagon™ Tensor Processor (HTP) - 又称 NPU/DSP/HMX，适合以低功耗、高性能执行 AI 工作负载。为优化性能，需要对预训练模型进行量化，使其达到支持的任一种精度。
- Qualcomm^®^ Adreno™ GPU - 适合以中等功率、中等性能执行 AI 工作负载。AI 工作负载可以通过 OpenCL 内核进行加速。GPU 还可用于加速模型预处理/后处理。
- Qualcomm^®^ Kryo™ CPU - 在 CPU 上进行 AI 推理可以用来与其他硬件加速器进行模型准确性/性能的基准测试。CPU 还可以用于运行模型的预处理/后处理。

## AI 软件栈

AI 堆栈包含各种 SDK，以便利用 AI 硬件加速器的强大功能。开发者可以选择他们喜欢的技术栈来部署 AI 工作负载。预训练模型（TFLite 模型除外）在运行之前需要使用所选 AI 栈 SDK 将其转换为可执行格式。需要注意的是，TFLite Delegate 允许开发人员直接运行 TFLite 模型。

- [Qualcomm Neural Processing Engine (SNPE)](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-2)

> 
> 
> 一站式解决方案 SDK 提供 C、C++ 和 Java API，以支持异构计算、系统级配置并将 AI 工作负载引导至所有加速器核心。为开发人员提供灵活性，包括核心间协作支持和其他高级功能。
- [Qualcomm AI Engine Direct (QNN)](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50)

> 
> 
> Low-level 高度可定制的统一 API，通过各自的库加速所有 AI 加速核心上的 AI 模型。可以直接用于针对特定的加速器核心或各流行 runtime（包括 Qualcomm 神经网络处理引擎 SDK、TensorFlow Lite和ONNX runtime）的 delegate 工作负载。Low-level SDK 提供更多功能和调试能力。
- [AI Model Efficiency Toolkit (AIMET)](https://quic.github.io/aimet-pages/releases/latest/user_guide/index.html)

> 
> 
> 用于优化（压缩和量化）训练后的神经网络模型的开源库。这是一个旨在生成优化过的量化模型的复杂 SDK。它仅适用于高级开发人员。

Last Published: Aug 06, 2024

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