2.4.0 docs update: del suffix rc0 and many slight modify. (#5420)

* 2.4.0 docs update: del suffix rc0 and many slight modify, cuda11.2 cudNN 8.1.1 to 8.2.1

* Add conda cuda11.7/cudnn8.4.1, and activate Docs-NEW

* CN-[whitespace]-EN and trim trailing whitespace typechecker

* resolve for comment

Author: zhengqiwen1997

docs/install/Tables.md

@@ -5,12 +5,6 @@
 
 ## 一、环境准备
 
-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 / Ubuntu20.04 / Ubuntu22.04 (64bit)
-* GPU 版本支持 CUDA 10.1/10.2/11.2/11.6
-* conda 版本 4.8.3+ (64 bit)
-
 ### 1.1 创建虚拟环境
 
 #### 1.1.1 安装环境
@@ -122,37 +116,37 @@ python3 -c "import platform;print(platform.architecture()[0]);print(platform.mac
 如果您的计算机没有 NVIDIA® GPU，请安装 CPU 版的 PaddlePaddle
 
 ```
-conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
 
 #### GPU 版的 PaddlePaddle
 
 
-*  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:
+*  对于 `CUDA 10.2`，需要搭配 cuDNN 7.6.5(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=10.2 --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:
+
+*  对于 `CUDA 11.2`，需要搭配 cuDNN 8.2.1(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-
-*  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:
+*  对于 `CUDA 11.6`，需要搭配 cuDNN 8.4.0(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  对于 `CUDA 11.6`，需要搭配 cuDNN 8.4.0(多卡环境下 NCCL>=2.7)，安装命令为:
+*  对于 `CUDA 11.7`，需要搭配 cuDNN 8.4.1(多卡环境下 NCCL>=2.7)，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.7 -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/Tables_en.md

@@ -5,13 +5,6 @@
 
 ## Environmental preparation
 
-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 / Ubuntu20.04 / Ubuntu22.04 (64bit)
-* GPU Version support CUDA 10.1/10.2/11.2/11.6
-* conda version 4.8.3+ (64 bit)
-
-
 ### 1.1 Create Virtual Environment
 
 #### 1.1.1 Create the Anaconda Virtual Environment
@@ -126,36 +119,36 @@ 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==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
 
 #### GPU Version of PaddlePaddle
 
 
-*  If you are using CUDA 10.1，cuDNN 7 (cuDNN>=7.6.5, for multi card support, NCCL>=2.7):
+*  If you are usingCUDA 10.2，cuDNN 7.6.5(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=10.2 --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):
+*  If you are using CUDA 11.2，cuDNN 8.2.1(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  If you are using CUDA 11.2，cuDNN 8.1.1(for multi card support, NCCL>=2.7):
+*  If you are using CUDA 11.6，cuDNN 8.4.0(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  If you are using CUDA 11.6，cuDNN 8.4.0(for multi card support, NCCL>=2.7):
+*  If you are using CUDA 11.7，cuDNN 8.4.1(for multi card support, NCCL>=2.7):
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.7 -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

@@ -4,11 +4,6 @@
 
 ## 一、环境准备
 
-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。
-
-* MacOS 版本 10.x/11.x (64 bit) (不支持 GPU 版本)
-* conda 版本 4.8.3+ (64 bit)
-
 ### 1.1 创建虚拟环境
 
 #### 1.1.1 安装环境
@@ -115,7 +110,7 @@ python3 -c "import platform;print(platform.architecture()[0]);print(platform.mac
 * 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==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 ## **三、验证安装**

docs/install/conda/linux-conda_en.md

@@ -6,13 +6,6 @@
 
 ## Environmental preparation
 
-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.
-
-* MacOS version 10.x/11.x (64 bit)(not support GPU version)
-* conda version 4.8.3+ (64 bit)
-
-
-
 ### 1.1 Create Virtual Environment
 
 #### 1.1.1 Create the Anaconda Virtual Environment
@@ -121,7 +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==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
 

docs/install/conda/macos-conda.md

@@ -1,15 +1,9 @@
 # Windows 下的 Conda 安装
 
-[Anaconda](https://www.anaconda.com/)是一个免费开源的 Python 和 R 语言的发行版本，用于计算科学，Anaconda 致力于简化包管理和部署。Anaconda 的包使用软件包管理系统 Conda 进行管理。Conda 是一个开源包管理系统和环境管理系统，可在 Windows、macOS 和 Linux 上运行。本文档为你介绍 Anaconda 安装方式，飞桨提供的 Anaconda 安装包支持分布式训练（多机多卡）、TensorRT 推理功能。
+[Anaconda](https://www.anaconda.com/)是一个免费开源的 Python 和 R 语言的发行版本，用于计算科学，Anaconda 致力于简化包管理和部署。Anaconda 的包使用软件包管理系统 Conda 进行管理。Conda 是一个开源包管理系统和环境管理系统，可在 Windows、macOS 和 Linux 上运行。本文档为你介绍 Anaconda 安装方式，飞桨提供的 Anaconda 安装包支持 TensorRT 推理功能。
 
 ## 一、环境准备
 
-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。
-
-* Windows 7/8/10 专业版/企业版 (64bit)
-* GPU 版本支持 CUDA 10.1/10.2/11.2/11.6，且仅支持单卡
-* conda 版本 4.8.3+ (64 bit)
-
 
 ### 1.1 创建虚拟环境
 
@@ -124,36 +118,36 @@ 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==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
 
 #### GPU 版的 PaddlePaddle
 
 
-*  对于 `CUDA 10.1`，需要搭配 cuDNN 7 (cuDNN>=7.6.5)，安装命令为:
+*  对于 `CUDA 10.2`，需要搭配 cuDNN 7.6.5，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=10.2 --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)，安装命令为:
+*  对于 `CUDA 11.2`，需要搭配 cuDNN 8.2.1，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  对于 `CUDA 11.2`，需要搭配 cuDNN 8.1.1，安装命令为:
+*  对于 `CUDA 11.6`，需要搭配 cuDNN 8.4.0，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  对于 `CUDA 11.6`，需要搭配 cuDNN 8.4.0，安装命令为:
+*  对于 `CUDA 11.7`，需要搭配 cuDNN 8.4.1，安装命令为:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.7 -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

@@ -6,14 +6,6 @@
 
 ## Environmental preparation
 
-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.
-
-* Windows 7/8/10 Pro/Enterprise (64bit)
-* GPU Version support CUDA 10.1/10.2/11.2/11.6，and only supports single card
-* conda version 4.8.3+ (64 bit)
-
-
-
 ### 1.1 Create Virtual Environment
 
 #### 1.1.1 Create the Anaconda Virtual Environment
@@ -131,7 +123,7 @@ 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==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+conda install paddlepaddle==2.4.0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
 ```
 
 
@@ -140,28 +132,28 @@ conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu
 #### GPU Version of PaddlePaddle
 
 
-*  If you are using CUDA 10.1，cuDNN 7 (cuDNN>=7.6.5):
+*  If you are usingCUDA 10.2，cuDNN 7.6.5:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
   ```
 
-*  If you are usingCUDA 10.2，cuDNN 7 (cuDNN>=7.6.5):
+*  If you are using CUDA 11.2，cuDNN 8.2.1:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  If you are using CUDA 11.2，cuDNN 8.1.1:
+*  If you are using CUDA 11.6，cuDNN 8.4.0:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
   ```
 
-*  If you are using CUDA 11.6，cuDNN 8.4.0:
+*  If you are using CUDA 11.7，cuDNN 8.4.1:
 
   ```
-  conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
+  conda install paddlepaddle-gpu==2.4.0 cudatoolkit=11.7 -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/)