fix the doc for 1.5 test=develop (#990)

* fix the doc for 1.5 test=develop

* test=develop

doc/fluid/beginners_guide/install/compile/compile_Windows.md

@@ -12,7 +12,7 @@
 * 如果您的计算机没有 NVIDIA® GPU，请编译CPU版的PaddlePaddle
 
 * 如果您的计算机有NVIDIA® GPU，并且满足以下条件，推荐编译GPU版的PaddlePaddle
-    * *CUDA 工具包8.0配合cuDNN v7*
+    * *CUDA 工具包8.0/9.2配合cuDNN v7.3+*
     * *GPU运算能力超过1.0的硬件设备*
 
 ## 安装步骤

doc/fluid/beginners_guide/install/compile/compile_Windows_en.md

@@ -3,13 +3,9 @@
 
 This instruction will show you how to compile PaddlePaddle on a *64-bit desktop or laptop* and Windows 10. The Windows systems we support must meet the following requirements:
 
-* Windows 10 Family Edition / Professional Edition / Enterprise Edition
+* Windows 10 Professional Edition / Enterprise Edition
 * Visual Studio 2015 Update3
 
-## Determine which version to compile
-
-* **Only PaddlePaddle for CPU is supported.**
-
 ## Choose a compilation method
 
 We provide one compilation method under the Windows system:
@@ -18,7 +14,7 @@ We provide one compilation method under the Windows system:
 
 Since the situation on host machine is more complicated, we only support specific systems.
 
-Please note: The current version does not support NCCL, distributed, AVX, warpctc and MKL related functions.
+Please note: The current version does not support NCCL and distributed related functions.
 
 
 ### ***Local compilation***
@@ -27,7 +23,7 @@ Please note: The current version does not support NCCL, distributed, AVX, warpct
 
 1. Check that your computer and operating system meet our supported compilation standards
 
-	* Windows 10 Family Edition / Professional Edition / Enterprise Edition
+	* Windows 10 Professional Edition / Enterprise Edition
 
 	* Visual Studio 2015 Update3
 
@@ -54,7 +50,7 @@ Please note: The current version does not support NCCL, distributed, AVX, warpct
 
 4. Switch to a more stable release branch for compilation :
 
-	- `git checkout release/1.2`
+	- `git checkout release/1.5`
 
 5. Create a directory called build and enter it:
 
@@ -76,7 +72,6 @@ Please note: The current version does not support NCCL, distributed, AVX, warpct
 			-DPYTHON_LIBRARY = $ {PYTHON_LIBRARY} 
 			-DPYTHON_EXECUTABLE = $ {PYTHON_EXECUTABLE} -DWITH_FLUID_ONLY = ON -DWITH_GPU = OFF -DWITH_TESTING =OFF -DCMAKE_BUILD_TYPE=Release`
 
-		> If you encounter `Could NOT find PROTOBUF (missing: PROTOBUF_LIBRARY PROTOBUF_INCLUDE_DIR)`, you can re-execute the cmake command.
 
 7. Some third-party dependencies (openblas, snappystream) currently require users to provide pre-compiled versions, or download pre-compiled files from `https://github.com/wopeizl/Paddle_deps` and place the entire `third_party` folder in the `build` directory. 
 
@@ -102,3 +97,5 @@ After the installation is complete, you can use: `python` to enter the Python in
 Please use the following command to uninstall PaddlePaddle:
 
 * ***CPU version of PaddlePaddle*** : `pip uninstall paddlepaddle` or `pip3 uninstall paddlepaddle`
+
+* ***GPU version of PaddlePaddle*** : `pip uninstall paddlepaddle-gpu` or `pip3 uninstall paddlepaddle-gpu`

doc/fluid/beginners_guide/install/install_Windows.md

@@ -8,7 +8,7 @@
 
 ### 注意事项
 
-* 默认提供的安装包需要计算机支持AVX指令集和MKL，如果您的环境不支持，请在[这里](./Tables.html/#ciwhls-release)下载`no_avx`、`openblas`等版本的安装包
+* 默认提供的安装包需要计算机支持AVX指令集和MKL，如果您的环境不支持，请在[这里](./Tables.html/#ciwhls-release)下载`openblas`版本的安装包
 * 当前版本暂不支持NCCL，分布式等相关功能
 
 ## 选择CPU/GPU
@@ -16,7 +16,7 @@
 * 如果您的计算机没有 NVIDIA® GPU，请安装CPU版的PaddlePaddle
 
 * 如果您的计算机有 NVIDIA® GPU，并且满足以下条件，推荐安装GPU版的PaddlePaddle
-    * *CUDA 工具包8.0配合cuDNN v7*
+    * *CUDA 工具包8.0/9.2配合cuDNN v7.3+*
     * *GPU运算能力超过1.0的硬件设备*
 
 您可参考NVIDIA官方文档了解CUDA和CUDNN的安装流程和配置方法，请见[CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)，[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/)

doc/fluid/beginners_guide/install/install_Windows_en.md

@@ -17,7 +17,7 @@
 * If your computer doesn’t have NVIDIA® GPU, please install the CPU version of PaddlePaddle
 
 * If your computer has NVIDIA® GPU, and it satisfies the following requirements, we recommend you to install the GPU version of PaddlePaddle
-    * *CUDA Toolkit 8.0 with cuDNN v7*
+    * *CUDA Toolkit 8.0/9.2 with cuDNN v7.3+*
     * *GPU's computing capability exceeds 1.0*
 
 Please refer to the NVIDIA official documents for the installation process and the configuration methods of [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and [cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/).