[install doc] update install doc in paddle 2.2.1 (#4129)

* update install doc in paddle 2.2.1

* fix gcc version

* fix

* fix windows

Author: pangyoki

docs/install/Tables.md

@@ -8,6 +8,7 @@
     * **Ubuntu 14.04 (不推荐，不提供编译出现问题时的官方支持)**
     * **Ubuntu 16.04 (GPU 版本支持 CUDA 10.1/10.2/11.0/11.1/11.2)**
     * **Ubuntu 18.04 (GPU 版本支持 CUDA 10.1/10.2/11.0/11.1/11.2)**
+    * **Ubuntu 20.04 (GPU 版本支持 CUDA 10.1/10.2/11.0/11.1/11.2)**
 * **Python 版本 3.6/3.7/3.8/3.9 (64 bit)**
 * **pip 或 pip3 版本 20.2.2或更高版本 (64 bit)**
 
@@ -308,7 +309,7 @@ uname -m && cat /etc/*release
     PATH=/home/cmake-3.16.0-Linux-x86_64/bin:$PATH
     ```
 
-    gcc 需要4.8.2以上，建议使用8.2.0:
+    gcc 需要5.4以上，建议使用8.2.0:
 
     ```
     wget -q https://paddle-docker-tar.bj.bcebos.com/home/users/tianshuo/bce-python-sdk-0.8.27/gcc-8.2.0.tar.xz && \
@@ -351,7 +352,7 @@ uname -m && cat /etc/*release
     PATH=/home/cmake-3.16.0-Linux-x86_64/bin:$PATH
     ```
 
-    gcc 需要4.8.2以上，建议使用8.2.0:
+    gcc 需要5.4以上，建议使用8.2.0:
 
     ```
     wget -q https://paddle-docker-tar.bj.bcebos.com/home/users/tianshuo/bce-python-sdk-0.8.27/gcc-8.2.0.tar.xz && \

docs/install/Tables_en.md

@@ -8,6 +8,7 @@
     * **Ubuntu 14.04 (not recommended, no official support for compilation problems)**
     * **Ubuntu 16.04 (GPU version supports CUDA 10.1/10.2/11.0/11.1/11.2)**
     * **Ubuntu 18.04 (GPU version supports CUDA 10.1/10.2/11.0/11.1/11.2)**
+    * **Ubuntu 20.04 (GPU version supports CUDA 10.1/10.2/11.0/11.1/11.2)**
 * **Python version 3.6/3.7/3.8/3.9 (64 bit)**
 * **pip or pip3 version 20.2.2 or above (64 bit)**
 
@@ -293,7 +294,7 @@ uname -m && cat /etc/*release
     PATH=/home/cmake-3.16.0-Linux-x86_64/bin:$PATH
     ```
 
-    gcc requires version 4.8.2, we recommend that you use 8.2.0 version:
+    gcc requires version 5.4, we recommend that you use 8.2.0 version:
 
     ```
     wget -q https://paddle-docker-tar.bj.bcebos.com/home/users/tianshuo/bce-python-sdk-0.8.27/gcc-8.2.0.tar.xz && \
@@ -332,7 +333,7 @@ uname -m && cat /etc/*release
     PATH=/home/cmake-3.16.0-Linux-x86_64/bin:$PATH
     ```
 
-    gcc requires version 4.8.2, we recommend that you use 8.2.0 version:
+    gcc requires version 5.4, we recommend that you use 8.2.0 version:
 
     ```
     wget -q https://paddle-docker-tar.bj.bcebos.com/home/users/tianshuo/bce-python-sdk-0.8.27/gcc-8.2.0.tar.xz && \

docs/install/compile/linux-compile.md

@@ -7,7 +7,7 @@
 
 在进行PaddlePaddle安装之前请确保您的Anaconda软件环境已经正确安装。软件下载和安装参见Anaconda官网(https://www.anaconda.com/)。在您已经正确安装Anaconda的情况下请按照下列步骤安装PaddlePaddle。
 
-* CentOS 7 / Ubuntu16.04 / Ubuntu18.04 (64bit)
+* CentOS 7 / Ubuntu16.04 / Ubuntu18.04 / Ubuntu20.04 (64bit)
 * GPU版本支持CUDA 10.1/10.2/11.2
 * conda 版本 4.8.3+ (64 bit)
 
@@ -116,7 +116,7 @@ python -c "import platform;print(platform.architecture()[0]);print(platform.mach
 如果您的计算机没有 NVIDIA® GPU，请安装 CPU 版的 PaddlePaddle
 
 ```
-conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
@@ -127,20 +127,20 @@ conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn
 *  对于 `CUDA 10.1`，需要搭配cuDNN 7 (cuDNN>=7.6.5, 多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  对于 `CUDA 10.2`，需要搭配cuDNN 7 (cuDNN>=7.6.5, 多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 
 *  对于 `CUDA 11.2`，需要搭配cuDNN 8.1.1(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
 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/)

docs/install/compile/linux-compile_en.md

@@ -7,7 +7,7 @@
 
 Before performing PaddlePaddle installation, please make sure that your Anaconda software environment is properly installed. For software download and installation, see Anaconda's official website (https://www.anaconda.com/). If you have installed Anaconda correctly, follow these steps to install PaddlePaddle.
 
-* CentOS 7 / Ubuntu16.04 / Ubuntu18.04 (64bit)
+* CentOS 7 / Ubuntu16.04 / Ubuntu18.04 / Ubuntu20.04 (64bit)
 * GPU Version support CUDA 10.1/10.2/11.2
 * conda version 4.8.3+ (64 bit)
 
@@ -120,7 +120,7 @@ You can choose the following version of PaddlePaddle to start installation:
 If your computer doesn't have NVIDIA® GPU, please install `the CPU Version of PaddlePaddle`
 
 ```
-conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
@@ -131,19 +131,19 @@ conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn
 *  If you are using CUDA 10.1，cuDNN 7 (cuDNN>=7.6.5, for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  If you are usingCUDA 10.2，cuDNN 7 (cuDNN>=7.6.5, for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  If you are using CUDA 11.2，cuDNN 8.1.1(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
 You can refer to NVIDIA official documents for installation process and configuration method of CUDA and cudnn. Please refer to [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)，[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/)

docs/install/conda/linux-conda.md

@@ -109,7 +109,7 @@ python -c "import platform;print(platform.architecture()[0]);print(platform.mach
 * 目前在MacOS环境仅支持CPU版PaddlePaddle，请参考如下命令安装Paddle:
 
   ```
-  conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 ## **三、验证安装**

docs/install/conda/linux-conda_en.md

@@ -114,7 +114,7 @@ conda config --set show_channel_urls yes
 * Currently, only the CPU version of PaddlePaddle is supported in the MacOS environment. Please use the following command to install PaddlePaddle：
 
   ```
-  conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 

docs/install/conda/macos-conda.md

@@ -121,7 +121,7 @@ python -c "import platform;print(platform.architecture()[0]);print(platform.mach
 如果您的计算机没有 NVIDIA® GPU，请安装 CPU 版的 PaddlePaddle
 
 ```
-conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
@@ -132,19 +132,19 @@ conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn
 *  对于 `CUDA 10.1`，需要搭配cuDNN 7 (cuDNN>=7.6.5, 多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  对于 `CUDA 10.2`，需要搭配cuDNN 7 (cuDNN>=7.6.5, 多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  对于 `CUDA 11.2`，需要搭配cuDNN 8.1.1(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
 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/)

docs/install/conda/macos-conda_en.md

@@ -125,7 +125,7 @@ You can choose the following version of PaddlePaddle to start installation:
 If your computer doesn't have NVIDIA® GPU, please install `the CPU Version of PaddlePaddle`
 
 ```
-conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.2.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
@@ -137,19 +137,19 @@ conda install paddlepaddle==2.2.0 --channel https://mirrors.tuna.tsinghua.edu.cn
 *  If you are using CUDA 10.1，cuDNN 7 (cuDNN>=7.6.5, for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  If you are usingCUDA 10.2，cuDNN 7 (cuDNN>=7.6.5, for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 *  If you are using CUDA 11.2，cuDNN 8.1.1(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.2.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.2.1 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
 You can refer to NVIDIA official documents for installation process and configuration method of CUDA and cudnn. Please refer to [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)，[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/)