@@ -220,11 +220,11 @@ PaddePaddle implements references to various BLAS/CUDA/cuDNN libraries by specif
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<td> paddlepaddle==[version code] such as paddlepaddle==2.0.0a0 </td>
<td> paddlepaddle==[version code] such as paddlepaddle==2.0.0b0 </td>
<td> Only support the corresponding version of the CPU PaddlePaddle, please refer to <ahref=https://pypi.org/project/paddlepaddle/#history>Pypi</a> for the specific version. </td>
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<td> paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==2.0.0a0 </td>
<td> paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==2.0.0b0 </td>
<td> The default installation supports the PaddlePaddle installation package corresponding to [version number] of CUDA 10.0 and cuDNN 7 </td>
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@@ -234,7 +234,7 @@ PaddePaddle implements references to various BLAS/CUDA/cuDNN libraries by specif
You can find various distributions of PaddlePaddle-gpu in [the Release History](https://pypi.org/project/paddlepaddle-gpu/#history).
> 'postxx' corresponds to CUDA and cuDNN versions, and the number before 'postxx' represents the version of Paddle
Please note that: in the commands, <code> paddlepaddle-gpu==2.0.0a0 </code> will install the installation package of PaddlePaddle that supports CUDA 10.0 and cuDNN 7 by default under Windows environment.
Please note that: in the commands, <code> paddlepaddle-gpu==2.0.0b0 </code> will install the installation package of PaddlePaddle that supports CUDA 10.0 and cuDNN 7 by default under Windows environment.
<aname="ciwhls-release"></a>
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@@ -258,65 +258,65 @@ Please note that: in the commands, <code> paddlepaddle-gpu==2.0.0a0 </code> will
* If your computer doesn't have NVIDIA® GPU, please install CPU version of PaddlePaddle
* If your computer has NVIDIA® GPU, and the following conditions are met，GPU version of PaddlePaddle is recommended.
***CUDA toolkit 9.0/9.1/9.2/10.0/10.1 with cuDNN v7.3+**
***CUDA toolkit 9.0/9.1/9.2/10.0/10.1 with cuDNN v7.4+**
***GPU's computing capability exceeds 1.0**
## Installation steps
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@@ -45,6 +45,8 @@ There is one compilation methods in Windows system:
> Git can be downloaded on the [official website](https://gitforwindows.org/) and added to the environment variable.
> If you are using Python 2, you need to install [Microsoft Visual C++ Compiler for Python 2.7](https://www.microsoft.com/en-us/download/details.aspx?id=44266)
2. Clone the PaddlePaddle source code to the Paddle subdirectories of the current directory and go to the Paddle subdirectories:
* If you are using Python 3, the output should be 3.5.1+/3.6+/3.7+
If you are using Python 2, you need to install [Microsoft Visual C++ Compiler for Python 2.7](https://www.microsoft.com/en-us/download/details.aspx?id=44266)
* If Python doesn't match your expected version, use the following command to see if Python's path is where you expect it to be:
where python
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@@ -50,7 +52,7 @@
* 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 9.0/10.0 with cuDNN v7.3+*
**CUDA Toolkit 9.0/10.0 with cuDNN v7.4+*
**GPU's computing capability exceeds 1.0*
Note: currently, the official Windows installation package only support CUDA 9.0/10.0 with single GPU, and don't include CUDA 9.1/9.2/10.1. if you need to use, please compile by yourself through the source code.
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@@ -69,16 +71,16 @@ We would like to introduce the pip installation here.
## Installation steps
* CPU version of PaddlePaddle:
*`python -m pip install paddlepaddle==2.0.0a0 -i https://mirror.baidu.com/pypi/simple`(Baidu source is recommended) or `python -m pip install paddlepaddle==2.0.0a0 -i https://pypi.tuna.tsinghua.edu.cn/simple`
There is a checking function below for [verifyig whether the installation is successful](#check). If you have any further questions, please check the [FAQ](./FAQ.html).
Notice:
*`python -m pip install paddlepaddle-gpu==2.0.0a0 -i https://pypi.tuna.tsinghua.edu.cn/simple` This command will install PaddlePaddle that supports CUDA 10.0(with cuDNN v7.3+).
*`python -m pip install paddlepaddle_gpu==2.0.0b0 -f https://paddlepaddle.org.cn/whl/stable.html` This command will install PaddlePaddle that supports CUDA 10.0(with cuDNN v7.4+).
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## Installation Verification
After completing the installation process, you can use `python` to enter python interface and input `import paddle.fluid as fluid` and then `fluid.install_check.run_check()` to check whether the installation is successful.
