AI prompts
base on # Note
This repository is no longer maintained and has been moved to https://github.com/airockchip/rknn-toolkit2/ .
本仓库不再维护,已经移到https://github.com/airockchip/rknn-toolkit2 。
# Description
RKNN software stack can help users to quickly deploy AI models to Rockchip chips. The overall framework is as follows:
<center class="half">
<div style="background-color:#ffffff;">
<img src="res/framework.png" title="RKNN"/>
</center>
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.
- RKNN-Toolkit2 is a software development kit for users to perform model conversion, inference and performance evaluation on PC and Rockchip NPU platforms.
- RKNN-Toolkit-Lite2 provides Python programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.
- RKNN Runtime provides C/C++ programming interfaces for Rockchip NPU platform to help users deploy RKNN models and accelerate the implementation of AI applications.
- RKNPU kernel driver is responsible for interacting with NPU hardware. It has been open source and can be found in the Rockchip kernel code.
# Support Platform
- RK3566/RK3568 Series
- RK3588 Series
- RK3562 Series
- RV1103/RV1106
Note:
**For RK1808/RV1109/RV1126/RK3399Pro, please refer to :**
https://github.com/airockchip/rknn-toolkit
https://github.com/airockchip/rknpu
https://github.com/airockchip/RK3399Pro_npu
# Download
- 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
- You can get more examples from [rknn mode zoo](https://github.com/airockchip/rknn_model_zoo)
# Notes
- RKNN-Toolkit2 is not compatible with [RKNN-Toolkit](https://github.com/airockchip/rknn-toolkit)
- Currently only support on:
- Ubuntu 18.04 python 3.6/3.7
- Ubuntu 20.04 python 3.8/3.9
- Ubuntu 22.04 python 3.10/3.11
- Latest version:1.6.0(Release version)
# CHANGELOG
## 1.6.0
- Support ONNX model of OPSET 12~19
- Support custom operators (including CPU and GPU)
- Optimization operators support such as dynamic weighted convolution, Layernorm, RoiAlign, Softmax, ReduceL2, Gelu, GLU, etc.
- Added support for python3.7/3.9/3.11
- Add rknn_convert function
- Optimize transformer support
- Optimize the MatMul API, such as increasing the K limit length, RK3588 adding int4 * int4 -> int16 support, etc.
- Optimize RV1106 rknn_init initialization time, memory consumption, etc.
- RV1106 adds int16 support for some operators
- Fixed the problem that the convolution operator of RV1106 platform may make random errors in some cases.
- Optimize user manual
- Reconstruct the rknn model zoo and add support for multiple models such as detection, segmentation, OCR, and license plate recognition.
for older version, please refer [CHANGELOG](CHANGELOG.md)
# Feedback and Community Support
- [Redmine](https://redmine.rock-chips.com) (**Feedback recommended, Please consult our sales or FAE for the redmine account**)
- QQ Group Chat: 1025468710 (full, please join group 3)
- QQ Group Chat2: 547021958 (full, please join group 3)
- QQ Group Chat3: 469385426
<center class="half">
<img width="200" height="200" src="res/QQGroupQRCode.png" title="QQ Group Chat"/>
<img width="200" height="200" src="res/QQGroup2QRCode.png" title="QQ Group Chat2"/>
<img width="200" height="200" src="res/QQGroup3QRCode.png" title="QQ Group Chat3"/>
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