91 lines
3.2 KiB
Markdown
91 lines
3.2 KiB
Markdown
# Description
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RKNN software stack can help users to quickly deploy AI models to Rockchip chips. The overall framework is as follows:
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<center class="half">
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<div style="background-color:#ffffff;">
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<img src="res/framework.png" title="RKNN"/>
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</center>
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In order to use RKNPU, users need to first run the RKNN-Toolkit2 tool on the computer, convert the trained model into an RKNN format model, and then inference on the development board using the RKNN C API or Python API.
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- RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms.
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- RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.
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- RKNN Runtime provides C/C++ programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.
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- RKNPU kernel driver is responsible for interacting with NPU hardware. It has been open source and can be found in the Rockchip kernel code.
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# Support Platform
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- RK3588 Series
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- RK3576 Series
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- RK3566/RK3568 Series
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- RK3562 Series
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- RV1103/RV1106
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- RV1103B/RV1106B
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- RV1126B
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- RK2118
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Note:
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**For RK1808/RV1109/RV1126/RK3399Pro, please refer to :**
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https://github.com/airockchip/rknn-toolkit
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https://github.com/airockchip/rknpu
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https://github.com/airockchip/RK3399Pro_npu
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# Download
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- You can also download all packages, docker image, examples, docs and platform-tools from [RKNPU2_SDK](https://console.zbox.filez.com/l/I00fc3), fetch code: rknn
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- You can get more examples from [rknn mode zoo](https://github.com/airockchip/rknn_model_zoo)
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# Notes
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- RKNN-Toolkit2 is not compatible with [RKNN-Toolkit](https://github.com/airockchip/rknn-toolkit)
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- The supported Python versions are:
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- Python 3.6
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- Python 3.7
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- Python 3.8
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- Python 3.9
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- Python 3.10
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- Python 3.11
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- Python 3.12
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- Latest version:v2.3.2
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# RKNN LLM
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If you want to deploy LLM (Large Language Model), we have introduced a new SDK called RKNN-LLM. For details, please refer to:
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https://github.com/airockchip/rknn-llm
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# CHANGELOG
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## v2.3.2
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- Support for RV1126B platform
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- Improved einsum and Norm operations support
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- Added automatic mixed precision functionality
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- Enhanced graph optimization capabilities
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for older version, please refer [CHANGELOG](CHANGELOG.md)
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# Feedback and Community Support
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- [Redmine](https://redmine.rock-chips.com) (**Feedback recommended, Please consult our sales or FAE for the redmine account**)
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- QQ Group Chat: 1025468710 (full, please join group 4)
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- QQ Group Chat2: 547021958 (full, please join group 4)
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- QQ Group Chat3: 469385426 (full, please join group 4)
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- QQ Group Chat4: 958083853
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<center class="half">
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<img width="200" height="200" src="res/QQGroupQRCode.png" title="QQ Group Chat"/>
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<img width="200" height="200" src="res/QQGroup2QRCode.png" title="QQ Group Chat2"/>
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<img width="200" height="200" src="res/QQGroup3QRCode.png" title="QQ Group Chat3"/>
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<img width="200" height="200" src="res/QQGroup4QRCode.png" title="QQ Group Chat4"/>
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</center>
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