# rknn-toolkit2 **Repository Path**: polarbird/rknn-toolkit2 ## Basic Information - **Project Name**: rknn-toolkit2 - **Description**: https://github.com/airockchip/rknn-toolkit2 镜像 - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 3 - **Forks**: 1 - **Created**: 2024-08-01 - **Last Updated**: 2025-06-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Description RKNN software stack can help users to quickly deploy AI models to Rockchip chips. The overall framework is as follows:
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 - RK3576 Series - RK3562 Series - RV1103/RV1106 - RK2118 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:v2.0.0-beta0 # RKNN LLM If you want to deploy LLM (Large Language Model), we have introduced a new SDK called RKNN-LLM. For details, please refer to: https://github.com/airockchip/rknn-llm # CHANGELOG ## v2.0.0-beta0 - Support RK3576 (Beta) - Support RK2118 (Beta) - Support SDPA (Scaled Dot Product Attention) to improve transformer performance - Improve custom operators support - Improve MatMul API - Improve support for Reshape,Transpose,BatchLayernorm,Softmax,Deconv,Matmul,ScatterND etc. - Support pytorch 2.1 - Improve support for QAT models of pytorch and onnx - Optimize automatic generation of C++ code 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