diff --git a/docs/en/faq_en.md b/docs/en/faq_en.md
index 6f34117fd46ac4db24c4c369e41a3e11ce835a9a..1aa60bdf1b259a91811be21b8c729e576b67fc99 100644
--- a/docs/en/faq_en.md
+++ b/docs/en/faq_en.md
@@ -43,19 +43,6 @@ VALID:
         - ToCHWImage:
 ```
 
->>
-* Q: What should I do if I want to transform the weights' format from `pdparams` to an earlier version(before Paddle1.7.0), which consists of the scattered files?
-* A: You can use `fluid.load` to load the `pdparams` weights and use `fluid.io.save_vars` to save the weights as scattered files. The demo is as follows. Finally all the scattered files will be saved in the path `path_to_save_var`.
-```
-fluid.load(
-        program=infer_prog, model_path=args.pretrained_model, executor=exe)
-state = fluid.io.load_program_state(args.pretrained_model)
-def exists(var):
-    return var.name in state
-fluid.io.save_vars(exe, "./path_to_save_var", infer_prog, predicate=exists)
-```
-
-
 >>
 * Q: The error occured when using visualdl under python2, shows that: `TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`.
 * A: `Visualdl` is only supported on python3 as now, whose version needs also be higher than `2.0`. If your visualdl version is lower than 2.0, you can also install visualdl 2.0 by `pip3 install visualdl==2.0.0b8 -i https://mirror.baidu.com/pypi/simple`.
diff --git a/docs/en/tutorials/install_en.md b/docs/en/tutorials/install_en.md
index 8f646a45ae23a7187d6b6842025ea39a7f74737f..157b0143987cf4861f564a7fe6468a4cdee58afa 100644
--- a/docs/en/tutorials/install_en.md
+++ b/docs/en/tutorials/install_en.md
@@ -8,7 +8,7 @@ This document introduces how to install PaddleClas and its requirements.
 
 ## Install PaddlePaddle
 
-Python 3.5, CUDA 9.0, CUDNN7.0 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than v1.7
+Python 3.6, CUDA 9.0, CUDNN7.0 nccl2.1.2 and later version are required at first, For now, PaddleClas only support training on the GPU device. Please follow the instructions in the [Installation](http://www.paddlepaddle.org.cn/install/quick) if the PaddlePaddle on the device is lower than v1.7
 
 Install PaddlePaddle
 
@@ -21,8 +21,8 @@ or compile from source code, please refer to [Installation](http://www.paddlepad
 Verify Installation
 
 ```python
-import paddle.fluid as fluid
-fluid.install_check.run_check()
+import paddle
+paddle.utils.run_check()
 ```
 
 Check PaddlePaddle version：
@@ -32,7 +32,7 @@ python -c "import paddle; print(paddle.__version__)"
 ```
 
 Note:
-- Make sure the compiled version is later than v1.7
+- Make sure the compiled version is later than PaddlePaddle2.0rc.
 - Indicate **WITH_DISTRIBUTE=ON** when compiling, Please refer to [Instruction](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3) for more details.
 
 
diff --git a/docs/zh_CN/faq.md b/docs/zh_CN/faq.md
index 921a68911067a120305a139c245cd7b41f48d5a1..68330f36bf236f7ddf59909376ee0d6e9bfed2b1 100644
--- a/docs/zh_CN/faq.md
+++ b/docs/zh_CN/faq.md
@@ -210,18 +210,6 @@ VALID:
         - ToCHWImage:
 ```
 
->>
-* Q: 如果想将保存的`pdparams`模型参数文件转换为早期版本(Paddle1.7.0之前)的零碎文件(每个文件均为一个单独的模型参数)，该怎么实现呢？
-* A: 可以首先导入`pdparams`模型，之后使用`fluid.io.save_vars`函数将模型保存为零散的碎文件。示例代码如下，最终所有零散文件会被保存在`path_to_save_var`目录下。
-```
-fluid.load(
-        program=infer_prog, model_path=args.pretrained_model, executor=exe)
-state = fluid.io.load_program_state(args.pretrained_model)
-def exists(var):
-    return var.name in state
-fluid.io.save_vars(exe, "./path_to_save_var", infer_prog, predicate=exists)
-```
-
 >>
 * Q: python2下，使用visualdl的时候，报出以下错误，`TypeError: __init__() missing 1 required positional argument: 'sync_cycle'`，这是为什么呢？
 * A: 目前visualdl仅支持在python3下运行，visualdl需要是2.0以上的版本，如果visualdl版本不对的话，可以通过以下方式进行安装：`pip3 install visualdl==2.0.0b8  -i https://mirror.baidu.com/pypi/simple`
diff --git a/docs/zh_CN/tutorials/install.md b/docs/zh_CN/tutorials/install.md
index 87505ecbdbf7a787fde8ab8b82e52582601f149f..a971b032652f5f236194f3094153785bdd6de6d8 100644
--- a/docs/zh_CN/tutorials/install.md
+++ b/docs/zh_CN/tutorials/install.md
@@ -9,7 +9,7 @@
 
 ## 二、安装PaddlePaddle
 
-运行PaddleClas需要`PaddlePaddle 2.0-beta`或更高版本。请参照[安装文档](http://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。
+运行PaddleClas需要`PaddlePaddle 2.0rc`或更高版本。请参照[安装文档](http://www.paddlepaddle.org.cn/install/quick)中的说明进行操作。
 
 如果已经安装好了cuda、cudnn、nccl或者安装好了docker、nvidia-docker运行环境，可以pip安装最新GPU版本PaddlePaddle
 
@@ -22,8 +22,8 @@ pip install paddlepaddle-gpu --upgrade
 使用以下命令可以验证PaddlePaddle是否安装成功。
 
 ```python
-import paddle.fluid as fluid
-fluid.install_check.run_check()
+import paddle
+paddle.utils.run_check()
 ```
 
 查看PaddlePaddle版本的命令如下：
@@ -33,7 +33,7 @@ python -c "import paddle; print(paddle.__version__)"
 ```
 
 注意：
-- 从源码编译的PaddlePaddle版本号为0.0.0，请确保使用了Fluid v1.7之后的源码编译。
+- 从源码编译的PaddlePaddle版本号为0.0.0，请确保使用了PaddlePaddle 2.0rc及之后的源码编译。
 - PaddleClas基于PaddlePaddle高性能的分布式训练能力，若您从源码编译，请确保打开编译选项，**WITH_DISTRIBUTE=ON**。具体编译选项参考[编译选项表](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#id3)
 
 **运行环境需求:**