diff --git a/README.en.md b/README.en.md
index 7658987..d19d9db 100644
--- a/README.en.md
+++ b/README.en.md
@@ -67,6 +67,8 @@ You can get introduction of openEuler SBC SIG from [sig-SBC](https://gitee.com/o
     - [Packaging ITX-RK3588J Integrated Burn Write Image](documents/rockchip/打包ITX-RK3588J一体化烧写镜像.md)
     - [Set up SELinux](documents/rockchip/设置SELinux.md)
     - [Build an image using Docker](documents/rockchip/使用Docker构建镜像.md)
+    - [openEuler Adaptation Guide](documents/rockchip/openEuler适配指南.md)
+    - [Using RKNPU on openEuler](documents/rockchip/在openEuler上使用RKNPU.md)
 - [scripts](./scripts/):
   - [Raspberry Pi](./scripts/raspberrypi): Script for building openEuler image for Raspberry Pi
     - [Quickly Build (without kernel compilation)](scripts/raspberrypi/build-image.sh)
diff --git a/README.md b/README.md
index afda1bb..a5c649e 100644
--- a/README.md
+++ b/README.md
@@ -66,6 +66,8 @@ SIG 组基本信息位于 [sig-SBC](https://gitee.com/openeuler/community/tree/m
     - [打包 ITX-RK3588J 一体化烧写镜像](documents/rockchip/打包ITX-RK3588J一体化烧写镜像.md)
     - [设置 SELinux](documents/rockchip/设置SELinux.md)
     - [使用 Docker 构建镜像](documents/rockchip/使用Docker构建镜像.md)
+    - [openEuler 适配指南](documents/rockchip/openEuler适配指南.md)
+    - [在openEuler上使用RKNPU](documents/rockchip/在openEuler上使用RKNPU.md)
 - [scripts](./scripts/): 镜像构建脚本
     - [树莓派](./scripts/raspberrypi): 构建 openEuler 树莓派镜像的脚本
       - [快速构建（不编译内核）](scripts/raspberrypi/build-image.sh)
diff --git a/documents/rockchip/在openEuler上使用RKNPU.md b/documents/rockchip/在openEuler上使用RKNPU.md
new file mode 100644
index 0000000..072c42c
--- /dev/null
+++ b/documents/rockchip/在openEuler上使用RKNPU.md
@@ -0,0 +1,465 @@
+- [描述](#描述)
+- [在 openEuler 上安装 RKNPU 并运行推理](#在-openeuler-上安装-rknpu-并运行推理)
+  - [安装 RKNPU 运行环境](#安装-rknpu-运行环境)
+  - [测试 RKNPU](#测试-rknpu)
+  - [安装 rknn-toolkit-lite2 Python 环境](#安装-rknn-toolkit-lite2-python-环境)
+  - [运行 ResNet18 模型推理](#运行-resnet18-模型推理)
+  - [测试 Dynamic Shape](#测试-dynamic-shape)
+
+# 描述
+
+本文档介绍如何在 openEuler 的 Rockchip 设备上使用 RKNPU。
+
+参考的官方文档：
+
+https://github.com/airockchip/rknn-toolkit2/blob/master/doc/02_Rockchip_RKNPU_User_Guide_RKNN_SDK_V2.3.2_CN.pdf
+
+内核需求：需要支持 RKNPU 的内核
+
+测试设备：Armsom Sige5 (RK3576)
+
+openEuler 版本：openEuler 22.03 LTS SP3
+
+镜像构建命令如下：
+
+```
+sudo bash build.sh --board armsom-sige5 \
+            -n openEuler-22.03-LTS-SP3-Armsom-Sige5-aarch64-alpha1 \
+            -k https://github.com/armbian/linux-rockchip.git \
+            -b rk-6.1-rkr5.1 \
+            -c rockchip_linux_defconfig \
+            -r https://gitee.com/src-openeuler/openEuler-repos/raw/openEuler-22.03-LTS-SP3/generic.repo \
+            -s headless
+```
+
+将上面构建成功的 openEuler 镜像刷写到 Armsom Sige5 (RK3576) 开发板，之后就可以按照下面的文档安装 RKNPU 并运行推理。
+
+# 在 openEuler 上安装 RKNPU 并运行推理
+
+## 安装 RKNPU 运行环境
+
+安装所需要的软件包
+
+```
+dnf update && dnf install git python3-pip screen gcc g++ make cmake -y
+```
+
+下载 RKNPU 代码及软件包仓库
+
+```
+cd ~
+git clone --depth=1 https://github.com/airockchip/rknn-toolkit2.git
+```
+
+安装 RKNPU 运行环境到系统
+
+```
+cd rknn-toolkit2
+
+cp rknpu2/runtime/Linux/librknn_api/aarch64/librknnrt.so /usr/lib64
+cp rknpu2/runtime/Linux/librknn_api/aarch64/librknnrt.so /usr/lib
+
+cp rknpu2/runtime/Linux/rknn_server/aarch64/usr/bin/* /usr/bin
+```
+
+添加文件权限
+
+```
+chmod +x /usr/bin/start_rknn.sh
+chmod +x /usr/bin/restart_rknn.sh
+chmod +x /usr/bin/rknn_server
+```
+
+使用 `screen` 来保持 `rknn_server` 后台运行，这里也可以使用其他软件来实现，例如 `nohup`。
+
+```
+screen -S rknn_server
+```
+
+然后输入以下命令来启动 `rknn_server`：
+
+```
+start_rknn.sh
+```
+
+运行结果如下：
+
+```
+bash-5.1# start_rknn.sh
+start rknn server, version:2.3.2 (1842325 build@2025-03-30T09:54:34)
+I NPUTransfer(995): Starting NPU Transfer Server, Transfer version 2.2.2 (@2024-06-18T03:50:51)
+```
+
+如果使用 `screen` 命令使 `rknn_server` 保持后台运行的话，此时使用 `Ctrl A + Z` 来退出当前终端（按住 `Ctrl` 的同时，先按 `A` 再按 `Z`），让 `rknn_server` 保持后台运行。如需恢复 `rknn_server` 终端，使用 `screen -r rknn_server`。
+
+## 测试 RKNPU
+
+### 运行 rknn_benchmark 基准测试
+
+进入 `rknn_benchmark` 目录
+
+```
+cd ~/rknn-toolkit2/rknpu2/examples/rknn_benchmark
+```
+
+编译并运行 `rknn_benchmark`
+
+```
+export GCC_COMPILER=/usr/bin/aarch64-linux-gnu
+
+bash build-linux.sh -t rk3576 -a aarch64 -b Release
+```
+
+这里使用的设备是 `rk3576`，如果使用 `rk3588` 平台，将这里的 `rk3576` 改为 `rk3588` 即可。
+
+编译过程如下：
+
+```
+[root@openEuler rknn_benchmark]# bash build-linux.sh -t rk3576 -a aarch64 -b Release
+build-linux.sh -t rk3576 -a aarch64 -b Release
+/usr/bin/aarch64-linux-gnu
+===================================
+TARGET_SOC=RK3576
+TARGET_ARCH=aarch64
+BUILD_TYPE=Release
+BUILD_DIR=/root/rknn-toolkit2/rknpu2/examples/rknn_benchmark/build/build_RK3576_linux_aarch64_Release
+CC=/usr/bin/aarch64-linux-gnu-gcc
+CXX=/usr/bin/aarch64-linux-gnu-g++
+===================================
+-- The CXX compiler identification is GNU 10.3.1
+-- Detecting CXX compiler ABI info
+-- Detecting CXX compiler ABI info - done
+-- Check for working CXX compiler: /usr/bin/aarch64-linux-gnu-g++ - skipped
+-- Detecting CXX compile features
+-- Detecting CXX compile features - done
+-- Configuring done
+-- Generating done
+-- Build files have been written to: /root/rknn-toolkit2/rknpu2/examples/rknn_benchmark/build/build_RK3576_linux_aarch64_Release
+[ 33%] Building CXX object CMakeFiles/rknn_benchmark.dir/src/cnpy/cnpy.cpp.o
+[ 66%] Building CXX object CMakeFiles/rknn_benchmark.dir/src/rknn_benchmark.cpp.o
+[100%] Linking CXX executable rknn_benchmark
+[100%] Built target rknn_benchmark
+Consolidate compiler generated dependencies of target rknn_benchmark
+[100%] Built target rknn_benchmark
+Install the project...
+-- Install configuration: "Release"
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_benchmark/install/rknn_benchmark_Linux/./rknn_benchmark
+-- Set runtime path of "/root/rknn-toolkit2/rknpu2/examples/rknn_benchmark/install/rknn_benchmark_Linux/./rknn_benchmark" to "lib"
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_benchmark/install/rknn_benchmark_Linux/lib/librknnrt.so
+```
+
+进入编译完成的目录：
+
+```
+cd ~/rknn-toolkit2/rknpu2/examples/rknn_benchmark/install/rknn_benchmark_Linux/
+```
+
+使用 `MobileNet v1` 运行基准测试
+
+```
+./rknn_benchmark ../../../rknn_mobilenet_demo/model/RK3576/mobilenet_v1.rknn
+```
+
+测试结果如下：
+
+```
+[root@openEuler rknn_benchmark_Linux]# ./rknn_benchmark ../../../rknn_mobilenet_demo/model/RK3576/mobilenet_v1.rknn
+rknn_api/rknnrt version: 2.3.2 (429f97ae6b@2025-04-09T09:09:27), driver version: 0.9.8
+total weight size: 4465024, total internal size: 2157568
+total dma used size: 11530240
+model input num: 1, output num: 1
+input tensors:
+  index=0, name=input, n_dims=4, dims=[1, 224, 224, 3], n_elems=150528, size=150528, w_stride = 224, size_with_stride=150528, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=0, scale=0.007812
+output tensors:
+  index=0, name=MobilenetV1/Predictions/Reshape_1, n_dims=2, dims=[1, 1001], n_elems=1001, size=2002, w_stride = 0, size_with_stride=2002, fmt=UNDEFINED, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000
+custom string: 
+Warmup ...
+   0: Elapse Time = 4.98ms, FPS = 200.72
+   1: Elapse Time = 4.61ms, FPS = 216.92
+   2: Elapse Time = 4.44ms, FPS = 225.17
+   3: Elapse Time = 4.39ms, FPS = 228.05
+   4: Elapse Time = 4.39ms, FPS = 227.74
+Begin perf ...
+   0: Elapse Time = 4.36ms, FPS = 229.62
+   1: Elapse Time = 4.29ms, FPS = 232.88
+   2: Elapse Time = 4.34ms, FPS = 230.68
+   3: Elapse Time = 4.47ms, FPS = 223.71
+   4: Elapse Time = 4.53ms, FPS = 220.95
+   5: Elapse Time = 4.51ms, FPS = 221.68
+   6: Elapse Time = 4.51ms, FPS = 221.48
+   7: Elapse Time = 4.64ms, FPS = 215.75
+   8: Elapse Time = 4.91ms, FPS = 203.79
+   9: Elapse Time = 2.60ms, FPS = 384.91
+
+Avg Time 4.31ms, Avg FPS = 231.771
+
+Save output to rt_output0.npy
+---- Top5 ----
+0.049622 - 620
+0.044678 - 645
+0.032288 - 627
+0.021011 - 819
+0.016953 - 790
+```
+
+可以看到，在使用 `MobileNet v1` 模型进行基准测试时，推理平均时延为 4.31ms，推理平均 FPS 为 231.771。
+
+### 测试 MobileNet 模型推理
+
+进入 `MobileNet Demo` 目录：
+
+```
+cd rknn_mobilenet_demo
+```
+
+编译 `MobileNet Demo` 推理程序：
+
+```
+bash build-linux.sh -t rk3576 -a aarch64 -b Release
+```
+
+编译过程如下：
+
+```
+[root@openEuler rknn_mobilenet_demo]# bash build-linux.sh -t rk3576 -a aarch64 -b Release
+build-linux.sh -t rk3576 -a aarch64 -b Release
+/usr/bin/aarch64-linux-gnu
+===================================
+TARGET_SOC=RK3576
+TARGET_ARCH=aarch64
+BUILD_TYPE=Release
+BUILD_DIR=/root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/build/build_RK3576_linux_aarch64_Release
+CC=/usr/bin/aarch64-linux-gnu-gcc
+CXX=/usr/bin/aarch64-linux-gnu-g++
+===================================
+-- The C compiler identification is GNU 10.3.1
+-- The CXX compiler identification is GNU 10.3.1
+-- Detecting C compiler ABI info
+-- Detecting C compiler ABI info - done
+-- Check for working C compiler: /usr/bin/aarch64-linux-gnu-gcc - skipped
+-- Detecting C compile features
+-- Detecting C compile features - done
+-- Detecting CXX compiler ABI info
+-- Detecting CXX compiler ABI info - done
+-- Check for working CXX compiler: /usr/bin/aarch64-linux-gnu-g++ - skipped
+-- Detecting CXX compile features
+-- Detecting CXX compile features - done
+-- Found OpenCV: /root/rknn-toolkit2/rknpu2/examples/3rdparty/opencv/opencv-linux-aarch64 (found version "3.4.5") 
+-- target_soc = RK3576
+-- Configuring done
+-- Generating done
+-- Build files have been written to: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/build/build_RK3576_linux_aarch64_Release
+[ 50%] Building CXX object CMakeFiles/rknn_mobilenet_demo.dir/src/main.cc.o
+[100%] Linking CXX executable rknn_mobilenet_demo
+[100%] Built target rknn_mobilenet_demo
+Consolidate compiler generated dependencies of target rknn_mobilenet_demo
+[100%] Built target rknn_mobilenet_demo
+Install the project...
+-- Install configuration: "Release"
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./rknn_mobilenet_demo
+-- Set runtime path of "/root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./rknn_mobilenet_demo" to "lib"
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./model/RK3576
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./model/RK3576/mobilenet_v1.rknn
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./model/cat_224x224.jpg
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/./model/dog_224x224.jpg
+-- Installing: /root/rknn-toolkit2/rknpu2/examples/rknn_mobilenet_demo/install/rknn_mobilenet_demo_Linux/lib/librknnrt.so
+```
+
+进入编译输出文件目录：
+
+```
+cd install/rknn_mobilenet_demo_Linux
+```
+
+使用 `MobileNet` 模型运行推理，测试输入 `cat_224x224.jpg` 图片：
+
+```
+./rknn_mobilenet_demo ../../model/RK3576/mobilenet_v1.rknn ../../model/cat_224x224.jpg
+```
+
+推理结果如下：
+
+```
+[root@openEuler rknn_mobilenet_demo_Linux]# ./rknn_mobilenet_demo ../../model/RK3576/mobilenet_v1.rknn ../../model/cat_224x224.jpg
+model input num: 1, output num: 1
+input tensors:
+  index=0, name=input, n_dims=4, dims=[1, 224, 224, 3], n_elems=150528, size=150528, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=0, scale=0.007812
+output tensors:
+  index=0, name=MobilenetV1/Predictions/Reshape_1, n_dims=2, dims=[1, 1001, 0, 0], n_elems=1001, size=2002, fmt=UNDEFINED, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000
+rknn_run
+ --- Top5 ---
+283: 0.415283
+282: 0.175781
+286: 0.158813
+278: 0.060303
+279: 0.043427
+```
+
+使用 `MobileNet` 模型运行推理，测试输入 `dog_224x224.jpg` 图片：
+
+```
+./rknn_mobilenet_demo ../../model/RK3576/mobilenet_v1.rknn ../../model/dog_224x224.jpg
+```
+
+推理结果如下：
+
+```
+[root@openEuler rknn_mobilenet_demo_Linux]# ./rknn_mobilenet_demo ../../model/RK3576/mobilenet_v1.rknn ../../model/dog_224x224.jpg
+model input num: 1, output num: 1
+input tensors:
+  index=0, name=input, n_dims=4, dims=[1, 224, 224, 3], n_elems=150528, size=150528, fmt=NHWC, type=INT8, qnt_type=AFFINE, zp=0, scale=0.007812
+output tensors:
+  index=0, name=MobilenetV1/Predictions/Reshape_1, n_dims=2, dims=[1, 1001, 0, 0], n_elems=1001, size=2002, fmt=UNDEFINED, type=FP16, qnt_type=AFFINE, zp=0, scale=1.000000
+rknn_run
+ --- Top5 ---
+156: 0.935059
+155: 0.057037
+205: 0.003881
+284: 0.003119
+285: 0.000172
+```
+
+## 安装 rknn-toolkit-lite2 Python 环境
+
+进入 rknn-toolkit-lite2 Python 软件包目录：
+
+```
+cd ~/rknn-toolkit2/rknn-toolkit-lite2/packages
+```
+
+查看 `Python` 版本：
+
+```
+[root@openEuler packages]# python3 -V
+Python 3.9.9
+```
+
+根据相应的版本应该安装仓库提供的对应 `cp39` 的 `rknn_toolkit_lite2` Python 软件包 `rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl`，运行以下命令：
+
+```
+pip3 install rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
+```
+
+安装过程如下：
+
+```
+[root@openEuler packages]# pip3 install rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
+WARNING: Running pip install with root privileges is generally not a good idea. Try `pip3 install --user` instead.
+Processing ./rknn_toolkit_lite2-2.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
+Collecting ruamel.yaml
+  Downloading ruamel.yaml-0.18.14-py3-none-any.whl (118 kB)
+     |████████████████████████████████| 118 kB 644 kB/s            
+Collecting numpy
+  Downloading numpy-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.9 MB)
+     |████████████████████████████████| 13.9 MB 61 kB/s             
+Collecting psutil
+  Downloading psutil-7.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279 kB)
+     |████████████████████████████████| 279 kB 31.8 MB/s            
+Collecting ruamel.yaml.clib>=0.2.7
+  Downloading ruamel.yaml.clib-0.2.12-cp39-cp39-manylinux2014_aarch64.whl (636 kB)
+     |████████████████████████████████| 636 kB 23.4 MB/s            
+Installing collected packages: ruamel.yaml.clib, ruamel.yaml, psutil, numpy, rknn-toolkit-lite2
+Successfully installed numpy-2.0.2 psutil-7.0.0 rknn-toolkit-lite2-2.3.2 ruamel.yaml-0.18.14 ruamel.yaml.clib-0.2.12
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
+```
+
+还需要安装 `opencv-python` Python 软件包：
+
+```
+[root@openEuler packages]# pip3 install opencv-python
+WARNING: Running pip install with root privileges is generally not a good idea. Try `pip3 install --user` instead.
+Collecting opencv-python
+  Downloading opencv_python-4.12.0.88-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (45.9 MB)
+     |████████████████████████████████| 45.9 MB 6.0 kB/s             
+Requirement already satisfied: numpy<2.3.0,>=2 in /usr/local/lib64/python3.9/site-packages (from opencv-python) (2.0.2)
+Installing collected packages: opencv-python
+Successfully installed opencv-python-4.12.0.88
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
+```
+
+## 运行 ResNet18 模型推理
+
+进入 ResNet18 Demo 目录：
+
+```
+cd ~/rknn-toolkit2/rknn-toolkit-lite2/examples/resnet18
+```
+
+运行推理：
+
+```
+[root@openEuler resnet18]# python3 test.py
+W rknn-toolkit-lite2 version: 2.3.2
+--> Load RKNN model
+done
+--> Init runtime environment
+I RKNN: [16:56:45.369] RKNN Runtime Information, librknnrt version: 2.3.2 (429f97ae6b@2025-04-09T09:09:27)
+I RKNN: [16:56:45.369] RKNN Driver Information, version: 0.9.8
+I RKNN: [16:56:45.369] RKNN Model Information, version: 6, toolkit version: 2.3.2(compiler version: 2.3.2 (839b70f037@2025-04-03T10:34:04)), target: RKNPU f2, target platform: rk3576, framework name: PyTorch, framework layout: NCHW, model inference type: static_shape
+W RKNN: [16:56:45.400] query RKNN_QUERY_INPUT_DYNAMIC_RANGE error, rknn model is static shape type, please export rknn with dynamic_shapes
+W Query dynamic range failed. Ret code: RKNN_ERR_MODEL_INVALID. (If it is a static shape RKNN model, please ignore the above warning message.)
+done
+--> Running model
+resnet18
+-----TOP 5-----
+[812] score:0.999638 class:"space shuttle"
+[404] score:0.000281 class:"airliner"
+[657] score:0.000014 class:"missile"
+[833] score:0.000010 class:"submarine, pigboat, sub, U-boat"
+[466] score:0.000010 class:"bullet train, bullet"
+
+done
+```
+
+## 测试 Dynamic Shape
+
+进入 Dynamic Shape Demo 目录：
+
+```
+cd ~/rknn-toolkit2/rknn-toolkit-lite2/examples/dynamic_shape
+```
+
+运行推理：
+
+```
+[root@openEuler dynamic_shape]# python3 test.py
+W rknn-toolkit-lite2 version: 2.3.2
+--> Load RKNN model
+done
+--> Init runtime environment
+I RKNN: [16:57:46.389] RKNN Runtime Information, librknnrt version: 2.3.2 (429f97ae6b@2025-04-09T09:09:27)
+I RKNN: [16:57:46.389] RKNN Driver Information, version: 0.9.8
+I RKNN: [16:57:46.390] RKNN Model Information, version: 6, toolkit version: 2.3.2(compiler version: 2.3.2 (839b70f037@2025-04-03T10:34:04)), target: RKNPU f2, target platform: rk3576, framework name: Caffe, framework layout: NCHW, model inference type: dynamic_shape
+done
+--> Running model
+model: mobilenet_v2
+
+input shape: 1,3,224,224
+W The input[0] need NHWC data format, but NCHW set, the data format and data buffer will be changed to NHWC.
+-----TOP 5-----
+[155] score:0.937500 class:"Shih-Tzu"
+[204] score:0.002548 class:"Lhasa, Lhasa apso"
+[154] score:0.001890 class:"Pekinese, Pekingese, Peke"
+[283] score:0.000659 class:"Persian cat"
+[284] score:0.000172 class:"Siamese cat, Siamese"
+
+input shape: 1,3,160,160
+W The input[0] need NHWC data format, but NCHW set, the data format and data buffer will be changed to NHWC.
+-----TOP 5-----
+[155] score:0.634766 class:"Shih-Tzu"
+[154] score:0.295166 class:"Pekinese, Pekingese, Peke"
+[204] score:0.030182 class:"Lhasa, Lhasa apso"
+[194] score:0.001085 class:"Dandie Dinmont, Dandie Dinmont terrier"
+[219] score:0.000291 class:"cocker spaniel, English cocker spaniel, cocker"
+
+input shape: 1,3,256,256
+W The input[0] need NHWC data format, but NCHW set, the data format and data buffer will be changed to NHWC.
+-----TOP 5-----
+[155] score:0.926758 class:"Shih-Tzu"
+[154] score:0.008347 class:"Pekinese, Pekingese, Peke"
+[204] score:0.004559 class:"Lhasa, Lhasa apso"
+[193] score:0.001019 class:"Australian terrier"
+[283] score:0.000481 class:"Persian cat"
+
+done
+```
\ No newline at end of file
diff --git a/documents/瑞芯微等开发板.md b/documents/瑞芯微等开发板.md
index ce7f603..0ecb400 100644
--- a/documents/瑞芯微等开发板.md
+++ b/documents/瑞芯微等开发板.md
@@ -30,6 +30,7 @@
     - [设置 SELinux](rockchip/设置SELinux.md)
     - [使用 Docker 构建镜像](rockchip/使用Docker构建镜像.md)
     - [openEuler 适配指南](rockchip/openEuler适配指南.md)
+    - [在openEuler上使用RKNPU](rockchip/在openEuler上使用RKNPU.md)
 - [scripts](../scripts/rockchip):  构建 openEuler RK3399 等开发板镜像的脚本
     - [一次构建脚本](../scripts/rockchip/build.sh)
     - [boot 镜像构建脚本](../scripts/rockchip/build_boot.sh)