Update pip install whl (#6948)

* Update pip install whl

* Fix

* Fix

Author: tianshuo78520a

docs/install/pip/linux-pip.md

@@ -2,6 +2,8 @@
 
 [The Python Package Index(PyPI)](https://pypi.org/)是 Python 的包管理器。本文档为你介绍 PyPI 安装方式，飞桨提供的 PyPI 安装包支持分布式训练（多机多卡）、TensorRT 推理功能。
 
+* 您无需再安装 CUDA\CUDNN\NCCL 等软件, paddle whl 包中已经自带, 直接安装 paddle whl 包即可
+
 ## 一、环境准备
 
 ### 1.1 如何查看您的环境
@@ -31,9 +33,6 @@
 
 * 需要确认 pip 的版本是否满足要求，要求 pip 版本为 20.2.2 或更高版本
 
-    ```
-    python3 -m ensurepip
-    ```
 
     ```
     python3 -m pip --version
@@ -49,7 +48,7 @@
 
 
 
-* 默认提供的安装包需要计算机支持 MKL
+* 默认提供的安装包需要计算机支持 MKL, Intel 芯片都支持 MKL
 
 
 
@@ -61,10 +60,6 @@
 
 * 如果您的计算机有 NVIDIA® GPU，请确保满足以下条件并且安装[GPU 版 PaddlePaddle](#gpu)，依赖库环境版本要求如下：
 
-  * **CUDA 工具包 11.8 配合 cuDNN v8.6.0, 如需使用 PaddleTensorRT 推理，需配合 TensorRT8.5.3.1**
-
-  * **CUDA 工具包 12.3 配合 cuDNN v9.0.0, 如需使用 PaddleTensorRT 推理，需配合 TensorRT8.6.1.6**
-
   * **GPU 运算能力超过 6.0 的硬件设备**
 
     您可参考 NVIDIA 官方文档了解 CUDA、CUDNN 和 TensorRT 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/)，[TensorRT](https://developer.nvidia.com/tensorrt)
@@ -82,15 +77,15 @@
 #### 2.2 <span id="gpu">GPU 版的 PaddlePaddle</span>
 
 
-2.2.1 CUDA11.8 的 PaddlePaddle
+2.2.1 CUDA11.8 的 PaddlePaddle(依赖 gcc8+, 如果需要使用 TensorRT 可自行安装 TensorRT8.5.3.1)
 
 
   ```
   python3 -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
   ```
 
 
-2.2.2 CUDA12.3 的 PaddlePaddle
+2.2.2 CUDA12.3 的 PaddlePaddle(依赖 gcc12+, 如果需要使用 TensorRT 可自行安装 TensorRT8.6.1.6)
 
 
   ```

docs/install/pip/linux-pip_en.md

@@ -1,5 +1,9 @@
 # Install on Linux via PIP
 
+[The Python Package Index(PyPI)]( https://pypi.org/ ）It is a package manager for Python. This document introduces the PyPI installation method. The PyPI installation package provided by PaddlePaddle supports distributed training (multiple computers and multiple cards) and TensorRT reasoning functions.
+
+* You don't need to install CUDA, CUDNN, NCCL and other software anymore. The Paddle WHL package already comes with it, just install the Paddle WHL package directly
+
 ## Environmental preparation
 
 ### 1.1 How to check your environment
@@ -31,10 +35,6 @@
 * It is required to confirm whether the version of pip meets the requirements. The version of pip is required to be 20.2.2 or above
 
 
-    ```
-    python3 -m ensurepip
-    ```
-
     ```
     python3 -m pip --version
     ```
@@ -49,10 +49,11 @@
 
 
 
-* The installation package provided by default requires computer support for MKL
-
-* If you do not know the machine environment, please download and use[Quick install script](https://fast-install.bj.bcebos.com/fast_install.sh), for instructions please refer to[here](https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/fluid/install/install_script.md)。
+* The installation package provided by default requires computer support for MKL, Intel chips all support MKL
 
+    ```
+    cat /proc/cpuinfo
+    ```
 
 
 ## INSTALLATION
@@ -63,10 +64,6 @@
 
 * If your computer has NVIDIA® GPU, please make sure that the following conditions are met and install [the GPU Version of PaddlePaddle](#gpu)
 
-  * **CUDA toolkit 11.8 with cuDNN v8.6.0(for PaddleTensorRT deployment, TensorRT8.5.1.7)**
-
-  * **CUDA toolkit 12.3 with cuDNN v9.0.0(for PaddleTensorRT deployment, TensorRT8.6.1.6)**
-
   * **Hardware devices with GPU computing power over 6.0**
 
     You can refer to NVIDIA official documents for installation process and configuration method of CUDA, cuDNN and TensorRT. Please refer to [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)，[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/)，[TensorRT](https://developer.nvidia.com/tensorrt)
@@ -90,16 +87,15 @@ You can choose the following version of PaddlePaddle to start installation:
 #### 2.2 <span id="gpu">GPU Version of PaddlePaddle</span>
 
 
-2.2.4 If you are using CUDA 11.8
+2.2.4 If you are using CUDA 11.8(Dependent on GCC8+, If you need to use TensorRT, you can install TensorRT 8.5.3.1 yourself)
 
 
   ```
   python3 -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
   ```
 
 
-2.2.5 If you are using CUDA 12.3
-
+2.2.5 If you are using CUDA 12.3(Dependent on GCC8+, If you need to use TensorRT, you can install TensorRT 8.6.1.6 yourself)
 
   ```
   python3 -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/

docs/install/pip/macos-pip.md

@@ -23,7 +23,6 @@
     ```
 
 
-
 * 需要确认 python 的版本是否满足要求
 
   * 使用以下命令确认是 3.8/3.9/3.10/3.11/3.12
@@ -35,10 +34,6 @@
 * 需要确认 pip 的版本是否满足要求，要求 pip 版本为 20.2.2 或更高版本
 
 
-    ```
-    python3 -m ensurepip
-    ```
-
     ```
     python3 -m pip --version
     ```

docs/install/pip/macos-pip_en.md

@@ -11,7 +11,6 @@
   ```
 
 
-
 * Confirm that the Python where you need to install PaddlePaddle is your expected location, because your computer may have multiple Python
 
   * Use the following command to output Python path. Depending on the environment, you may need to replace python3 in all command lines in the description with specific Python path
@@ -21,7 +20,6 @@
     ```
 
 
-
 * You need to confirm whether the version of Python meets the requirements
 
   * Use the following command to confirm that it is 3.8/3.9/3.10/3.11/3.12
@@ -30,9 +28,6 @@
 
 * It is required to confirm whether the version of pip meets the requirements. The version of pip is required to be 20.2.2 or above
 
-    ```
-    python3 -m ensurepip
-    ```
 
     ```
     python3 -m pip --version

docs/install/pip/windows-pip.md

@@ -16,10 +16,6 @@
 
 * 需要确认 pip 的版本是否满足要求，要求 pip 版本为 20.2.2 或更高版本
 
-    ```
-    python -m ensurepip
-    ```
-
     ```
     python -m pip --version
     ```
@@ -32,8 +28,8 @@
     ```
 
 
-* 默认提供的安装包需要计算机支持 MKL
 * Windows 暂不支持 NCCL，分布式等相关功能
+* 默认提供的安装包需要计算机支持 MKL, Intel 芯片都支持 MKL
 
 
 ## 二、开始安装
@@ -46,10 +42,6 @@
 
 * 如果您的计算机有 NVIDIA® GPU，请确保满足以下条件并且安装 GPU 版 PaddlePaddle
 
-  * **CUDA 工具包 11.8 配合 cuDNN v8.6.0，如需使用 PaddleTensorRT 推理，需配合 TensorRT8.5.1.7**
-
-  * **CUDA 工具包 12.3 配合 cuDNN v9.0.0, 如需使用 PaddleTensorRT 推理，需配合 TensorRT8.6.1.6**
-
   * **GPU 运算能力超过 6.0 的硬件设备**
 
   * 注：目前官方发布的 windows 安装包仅包含 CUDA 11.2/11.6/11.7/11.8/12.0，如需使用其他 cuda 版本，请通过源码自行编译。您可参考 NVIDIA 官方文档了解 CUDA、CUDNN 和 TensorRT 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/)，[TensorRT](https://developer.nvidia.com/tensorrt)
@@ -72,13 +64,13 @@
 #### 2.2 <span id="gpu">GPU 版的 PaddlePaddle</span>
 
 
-2.2.4 CUDA11.8 的 PaddlePaddle
+2.2.4 CUDA11.8 的 PaddlePaddle(如果需要使用 TensorRT 可自行安装 TensorRT8.5.1.7)
 
   ```
   python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
   ```
 
-2.2.5 CUDA12.3 的 PaddlePaddle
+2.2.5 CUDA12.3 的 PaddlePaddle(如果需要使用 TensorRT 可自行安装 TensorRT8.6.1.6)
 
   ```
   python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/

docs/install/pip/windows-pip_en.md

@@ -13,10 +13,6 @@
 
 * Confirm whether the version of pip meets the requirements. The version of pip is required to be 20.2.2 or above
 
-    ```
-    python -m ensurepip
-    ```
-
     ```
     python -m pip --version
     ```
@@ -28,9 +24,8 @@
     ```
 
 
-* The installation package provided by default requires computer support for MKL
 * NCCL, distribution are not supported on windows now
-
+* The installation package provided by default requires computer support for MKL, Intel chips all support MKL
 
 
 ## INSTALLATION
@@ -43,10 +38,6 @@ If you installed Python via Homebrew or the Python website, `pip` was installed
 
 * If your computer has NVIDIA® GPU, please make sure that the following conditions are met and install [the GPU Version of PaddlePaddle](#gpu)
 
-  * **CUDA toolkit 11.8 with cuDNN v8.6.0(for PaddleTensorRT deployment, TensorRT8.5.1.7)**
-
-  * **CUDA toolkit 12.3 with cuDNN v9.0.0(for PaddleTensorRT deployment, TensorRT8.6.1.6)**
-
   * **GPU CUDA capability over 6.0**
 
     You can refer to NVIDIA official documents for installation process and configuration method of CUDA, cuDNN and TensorRT. Please refer to [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/)，[cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/)，[TensorRT](https://developer.nvidia.com/tensorrt)
@@ -69,13 +60,13 @@ You can choose the following version of PaddlePaddle to start installation:
 #### 2.2 <span id="gpu">GPU Version of PaddlePaddle</span>
 
 
-2.2.4 If you are using CUDA 11.8
+2.2.4 If you are using CUDA 11.8(If you need to use TensorRT, you can install TensorRT 8.5.1.7 yourself)
 
   ```
   python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/
   ```
 
-2.2.5 If you are using CUDA 12.3
+2.2.5 If you are using CUDA 12.3(If you need to use TensorRT, you can install TensorRT 8.6.1.6 yourself)
 
   ```
   python -m pip install paddlepaddle-gpu==3.0.0b2 -i https://www.paddlepaddle.org.cn/packages/stable/cu123/