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[install doc] update 2.4.0rc0 install doc #5312

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update Tables
pangyoki Sep 27, 2022
45c1053
change 2.3 to 2.4
pangyoki Sep 27, 2022
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add cuda117
pangyoki Sep 27, 2022
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add ubuntu22.04
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354 changes: 187 additions & 167 deletions docs/install/Tables.md
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356 changes: 188 additions & 168 deletions docs/install/Tables_en.md
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13 changes: 7 additions & 6 deletions docs/install/compile/linux-compile.md
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* **Linux 版本 (64 bit)**
* **CentOS 6 (不推荐，不提供编译出现问题时的官方支持)**
* **CentOS 7 (GPU 版本支持 CUDA 10.1/10.2/11.1/11.2/11.6)**
* **CentOS 7 (GPU 版本支持 CUDA 10.1/10.2/11.1/11.2/11.6/11.7)**
* **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 10.1/10.2/11.1/11.2/11.6)**
* **Ubuntu 18.04 (GPU 版本支持 CUDA 10.1/10.2/11.1/11.2/11.6)**
* **Ubuntu 16.04 (GPU 版本支持 CUDA 10.1/10.2/11.1/11.2/11.6/11.7)**
* **Ubuntu 18.04 (GPU 版本支持 CUDA 10.1/10.2/11.1/11.2/11.6/11.7)**
* **Python 版本 3.6/3.7/3.8/3.9/3.10 (64 bit)**

## 选择 CPU/GPU
Expand All @@ -20,6 +20,7 @@
* **CUDA 工具包 11.1 配合 cuDNN v8.1.1(如需多卡支持，需配合 NCCL2.7 及更高)**
* **CUDA 工具包 11.2 配合 cuDNN v8.1.1(如需多卡支持，需配合 NCCL2.7 及更高)**
* **CUDA 工具包 11.6 配合 cuDNN v8.4.0(如需多卡支持，需配合 NCCL2.7 及更高)**
* **CUDA 工具包 11.7 配合 cuDNN v8.4.1(如需多卡支持，需配合 NCCL2.7 及更高)**
* **GPU 运算能力超过 3.5 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/)
Expand Down Expand Up @@ -138,7 +139,7 @@ git checkout [分支名]
例如：

```
git checkout release/2.3
git checkout release/2.4
```

注意：python3.6、python3.7 版本从 release/1.2 分支开始支持, python3.8 版本从 release/1.8 分支开始支持, python3.9 版本从 release/2.1 分支开始支持, python3.10 版本从 release/2.3 分支开始支持
Expand Down Expand Up @@ -487,7 +488,7 @@ git checkout [分支名]
例如：

```
git checkout release/2.3
git checkout release/2.4
```

#### 10. 并且请创建并进入一个叫 build 的目录下：
Expand All @@ -512,7 +513,7 @@ mkdir build && cd build
> 请注意 PY_VERSION 参数更换为您需要的 python 版本


* 对于需要编译**GPU 版本 PaddlePaddle**的用户：(**仅支持 CentOS7（CUDA11.6/CUDA11.2/CUDA11.1/CUDA10.2/CUDA10.1)**)
* 对于需要编译**GPU 版本 PaddlePaddle**的用户：(**仅支持 CentOS7（CUDA11.7/CUDA11.6/CUDA11.2/CUDA11.1/CUDA10.2/CUDA10.1)**)

1. 请确保您已经正确安装 nccl2，或者按照以下指令安装 nccl2（这里提供的是 CUDA10.2，cuDNN7 下 nccl2 的安装指令，更多版本的安装信息请参考 NVIDIA[官方网站](https://developer.nvidia.com/nccl)）:

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* **Linux version (64 bit)**
* **CentOS 6 (not recommended, no official support for compilation problems)**
* **CentOS 7 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6**
* **CentOS 7 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6/11.7**
* **Ubuntu 14.04 (not recommended, no official support for compilation problems)**
* **Ubuntu 16.04 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6)**
* **Ubuntu 18.04 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6)**
* **Ubuntu 16.04 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6/11.7)**
* **Ubuntu 18.04 (GPU version supports CUDA 10.1/10.2/11.1/11.2/11.6/11.7)**
* **Python version 3.6/3.7/3.8/3.9/3.10 (64 bit)**

## Choose CPU/GPU
Expand All @@ -20,6 +20,7 @@
* **CUDA toolkit 11.1 with cuDNN v8.1.1(for multi card support, NCCL2.7 or higher)**
* **CUDA toolkit 11.2 with cuDNN v8.1.1(for multi card support, NCCL2.7 or higher)**
* **CUDA toolkit 11.6 with cuDNN v8.4.0(for multi card support, NCCL2.7 or higher)**
* **CUDA toolkit 11.7 with cuDNN v8.4.1(for multi card support, NCCL2.7 or higher)**
* **Hardware devices with GPU computing power over 3.5**

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/)
Expand Down Expand Up @@ -144,7 +145,7 @@ git checkout [name of the branch]
For example：

```
git checkout release/2.3
git checkout release/2.4
```

Note: python3.6、python3.7 version started supporting from release/1.2 branch, python3.8 version started supporting from release/1.8 branch, python3.9 version started supporting from release/2.1 branch, python3.10 version started supporting from release/2.3 branch
Expand Down Expand Up @@ -474,7 +475,7 @@ git checkout [name of target branch]
For example:

```
git checkout release/2.3
git checkout release/2.4
```

#### 10. And please create and enter a directory called build:
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4 changes: 2 additions & 2 deletions docs/install/compile/macos-compile.md
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Expand Up @@ -94,7 +94,7 @@ git checkout [分支名]
例如：

```
git checkout release/2.3
git checkout release/2.4
```

注意：python3.6、python3.7 版本从 release/1.2 分支开始支持, python3.8 版本从 release/1.8 分支开始支持, python3.9 版本从 release/2.1 分支开始支持, python3.10 版本从 release/2.3 分支开始支持
Expand Down Expand Up @@ -253,7 +253,7 @@ git checkout [分支名]
例如：

```
git checkout release/2.3
git checkout release/2.4
```

注意：python3.6、python3.7 版本从 release/1.2 分支开始支持, python3.8 版本从 release/1.8 分支开始支持, python3.9 版本从 release/2.1 分支开始支持, python3.10 版本从 release/2.3 分支开始支持
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4 changes: 2 additions & 2 deletions docs/install/compile/macos-compile_en.md
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Expand Up @@ -95,7 +95,7 @@ git checkout [name of the branch]
For example：

```
git checkout release/2.3
git checkout release/2.4
```

Note: python3.6、python3.7 version started supporting from release/1.2 branch, python3.8 version started supporting from release/1.8 branch, python3.9 version started supporting from release/2.1 branch, python3.10 version started supporting from release/2.3 branch
Expand Down Expand Up @@ -257,7 +257,7 @@ git checkout [name of the branch]
For example：

```
git checkout release/2.3
git checkout release/2.4
```

#### 7. And please create and enter a directory called build:
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* 如果你的计算机硬件没有 NVIDIA® GPU，请编译 CPU 版本的 PaddlePaddle

* 如果你的计算机硬件有 NVIDIA® GPU，推荐编译 GPU 版本的 PaddlePaddle，建议安装 **CUDA 10.1/10.2//11.1/11.2/11.6**
* 如果你的计算机硬件有 NVIDIA® GPU，推荐编译 GPU 版本的 PaddlePaddle，建议安装 **CUDA 10.1/10.2/11.1/11.2/11.6/11.7**

## 本机编译过程

Expand Down Expand Up @@ -51,7 +51,7 @@
5. 切换到 2.2 分支下进行编译：

```
git checkout release/2.3
git checkout release/2.4
```

6. 创建名为 build 的目录并进入：
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## Environment preparation

* **Windows 7/8/10 Pro/Enterprise(64bit)**
* **GPU Version support CUDA 10.1/10.2/11.1/11.2/11.6, and only support single GPU**
* **GPU Version support CUDA 10.1/10.2/11.1/11.2/11.6/11.7, and only support single GPU**
* **Python version 3.6+/3.7+/3.8+/3.9+/3.10+(64bit)**
* **pip version 20.2.2 or above (64bit)**
* **Visual Studio 2017**
Expand All @@ -17,6 +17,7 @@
* **CUDA toolkit 11.1 with cuDNN v8.1.1**
* **CUDA toolkit 11.2 with cuDNN v8.2.1**
* **CUDA toolkit 11.6 with cuDNN v8.4.0**
* **CUDA toolkit 11.7 with cuDNN v8.4.1**
* **GPU's computing capability exceeds 3.5**

## Installation steps
Expand Down Expand Up @@ -73,7 +74,7 @@ There is one compilation methods in Windows system:

For example：
```
git checkout release/2.3
git checkout release/2.4
```

Note: python3.6、python3.7 version started supporting from release/1.2, python3.8 version started supporting from release/1.8, python3.9 version started supporting from release/2.1, python3.10 version started supporting from release/2.3
Expand Down
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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 (64bit)
* 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)

Expand Down Expand Up @@ -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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```


Expand All @@ -127,26 +127,26 @@ conda install paddlepaddle==2.3.2 --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==2.3.2 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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==2.3.2 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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==2.3.2 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -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:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -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/)
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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 (64bit)
* 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)

Expand Down Expand Up @@ -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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```


Expand All @@ -131,25 +131,25 @@ conda install paddlepaddle==2.3.2 --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==2.3.2 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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==2.3.2 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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==2.3.2 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -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):

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -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/)
Expand Down
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Expand Up @@ -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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```

## **三、验证安装**
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Expand Up @@ -115,7 +115,7 @@ 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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```


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Expand Up @@ -120,7 +120,7 @@ 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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```


Expand All @@ -131,25 +131,25 @@ conda install paddlepaddle==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn
* 对于 `CUDA 10.1`，需要搭配 cuDNN 7 (cuDNN>=7.6.5)，安装命令为:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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)，安装命令为:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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，安装命令为:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -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:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -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/)
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Expand Up @@ -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==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle==2.4.0rc0 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```


Expand All @@ -137,25 +137,25 @@ conda install paddlepaddle==2.3.2 --channel https://mirrors.tuna.tsinghua.edu.cn
* If you are using CUDA 10.1，cuDNN 7 (cuDNN>=7.6.5):

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=10.1 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 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):

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=10.2 --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/
```

* If you are using CUDA 11.2，cuDNN 8.1.1:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.2 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
```

* If you are using CUDA 11.6，cuDNN 8.4.0:

```
conda install paddlepaddle-gpu==2.3.2 cudatoolkit=11.6 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
conda install paddlepaddle-gpu==2.4.0rc0 cudatoolkit=11.6 -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/)
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