RKNN Toolkit2的连板功能一般需要更新板端的 rknn_server 和 librknnrt.so/librknnmrt.so,并且手动启动 rknn_server 才能正常工作。 rknn_server: 是一个运行在板子上的后台代理服务,用于接收PC通过USB传输过来的协议,然后执行板端runtime对应的接口,并返回结果给PC。 librknn
Add rknn_convert function Improve transformer support Improve MatMul API, such as increasing the K limit length, RK3588 adding int4 * int4 -> int16 support, etc. Reduce RV1106 rknn_init initialization time, memory consumption, etc. RV1106 adds int16 support for some operators Fixed the probl...
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 v2.3.0 RKNN-Toolkit2 support ARM64 architecture ...
04_Rockchip_RKNPU_API_Reference_RKNNRT_V2.3.2_EN.pdf 05_RKNN_Compiler_Support_Operator_List_V2.3.2.pdf RKNNToolKit2_API_Difference_With_Toolkit1-2.3.2.md RKNNToolKit2_OP_Support-2.3.2.md Using RKNN-ToolKit2 in WSL.md WSL中使用RKNN_ToolKit2.md rknn_server_proxy.md res rknn-toolkit-...
rknn-toolkit2 doc Using RKNN-ToolKit2 in WSL.md onmaster User selector All users DatepickerAll time Commit History Commits on Sep 18, 2024 Update RK3562/RK3566/RK3568/RK3576/RK3588/RV1103B/RV1103/RV1106/RK2118 NPU SDK to V2.2.0 Randall ZhuocommittedSep 18, 2024 7efa763 Commit...
This repository is no longer maintained and has been moved tohttps://github.com/airockchip/rknn-toolkit2/.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...
airockchip/rknn-toolkit2Public NotificationsYou must be signed in to change notification settings Fork183 Star1.7k New issue Open sc779733661opened this issueMay 6, 2024· 3 comments Open opened this issueMay 6, 2024· 3 comments TRYOKETHEPENcommentedMay 21, 2024 ...
我尝试用最新的rknn-toolkit2将自己的onnx模型转为rk模型,是遇到一个错误,并且我无法通过这个报错追溯到源码的位置,具体报错日志如下 --> Building model Build model failed! E build: Catch exception when building RKNN model! E build: Traceback (most recent call
rknn-toolkit2rknn-toolkit2Public C1.7k179 rknn_model_zoorknn_model_zooPublic C1.5k258 rknn-llmrknn-llmPublic C++79792 librgalibrgaPublic C38872 yolov5yolov5Public Forked fromultralytics/yolov5 YOLOv5 in PyTorch > ONNX > CoreML > TFLite ...
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...