[Doc] update build doc for jetsons (#1621)

* update build doc for jetsons

* set lint only true for docs

* change base revision of circleci config

Co-authored-by: RunningLeon <mnsheng@yeah.net>

.circleci/config.yml

@@ -26,12 +26,13 @@ workflows:
             csrc/.* lint_only false
             demo/csrc/.* lint_only false
             docker/.* lint_only false
+            docs/.* lint_only true
             mmdeploy/.* lint_only false
             requirements/.* lint_only false
             tests/.* lint_only false
             third_party/.* lint_only false
             tools/.* lint_only false
-          base-revision: master
+          base-revision: dev-1.x
           # this is the path of the configuration we should trigger once
           # path filtering and pipeline parameter value updates are
           # complete. In this case, we are using the parent dynamic

docs/en/01-how-to-build/jetsons.md

@@ -3,7 +3,6 @@
 In this chapter, we introduce how to install MMDeploy on NVIDIA Jetson platforms, which we have verified on the following modules:
 
 - Jetson Nano
-- Jetson Xavier NX
 - Jetson TX2
 - Jetson AGX Xavier
 
@@ -174,12 +173,27 @@ It takes about 1 hour 40 minutes to install MMCV on a Jetson Nano. So, please be
 
 #### Install ONNX
 
+Don't install the latest ONNX. The recommended ONNX version is 1.10.0.
+
 ```shell
 # Execute one of the following commands
-pip install onnx
+pip install onnx==1.10.0
 conda install -c conda-forge onnx
 ```
 
+If the installation failed and showed the following error:
+
+```
+CMake Error at CMakeLists.txt:299 (message):
+      Protobuf compiler not found
+```
+
+Please install dependencies:
+
+```shell
+sudo apt-get install protobuf-compiler libprotoc-dev
+```
+
 #### Install h5py and pycuda
 
 Model Converter employs HDF5 to save the calibration data for TensorRT INT8 quantization and needs `pycuda` to copy device memory.

docs/zh_cn/01-how-to-build/jetsons.md

@@ -156,12 +156,27 @@ conda activate mmdeploy
 
 - 安装 ONNX
 
+  不要安装最新的 ONNX，推荐的 ONNX 版本是 1.10.0。
+
   ```shell
   # 以下方式二选一
-  python3 -m pip install onnx
+  python3 -m pip install onnx==1.10.0
   conda install -c conda-forge onnx
   ```
 
+  如果安装时，出现如下的报错信息:
+
+  ```
+  CMake Error at CMakeLists.txt:299 (message):
+        Protobuf compiler not found
+  ```
+
+  请根据如下指令，安装依赖项:
+
+  ```shell
+  sudo apt-get install protobuf-compiler libprotoc-dev
+  ```
+
 - 安装 h5py 和 pycuda
 
   Model Converter 使用 HDF5 存储 TensorRT INT8 量化的校准数据；需要 pycuda 拷贝显存