未验证 提交 56914e0e 编写于 作者: Z zhouwei25 提交者: GitHub

fix the CUDA support description in indtall_windows DOC, test=document_preview (#1036)

Done
上级 82ea66b1
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## 环境准备 ## 环境准备
* *Windows 7/8/10 专业版/企业版 (64bit) (GPU版本支持CUDA 8/9.2, 且仅支持单卡)* * *Windows 7/8/10 专业版/企业版 (64bit) (GPU版本支持CUDA 8.0/9.0,且仅支持单卡)*
* *Python 版本 2.7/3.5.1+/3.6/3.7 (64 bit)* * *Python 版本 2.7.15+/3.5.1+/3.6/3.7 (64 bit)*
* *pip 或 pip3 版本 9.0.1+ (64 bit)* * *pip 或 pip3 版本 9.0.1+ (64 bit)*
### 注意事项 ### 注意事项
...@@ -16,7 +16,7 @@ ...@@ -16,7 +16,7 @@
* 如果您的计算机没有 NVIDIA® GPU,请安装CPU版的PaddlePaddle * 如果您的计算机没有 NVIDIA® GPU,请安装CPU版的PaddlePaddle
* 如果您的计算机有 NVIDIA® GPU,并且满足以下条件,推荐安装GPU版的PaddlePaddle * 如果您的计算机有 NVIDIA® GPU,并且满足以下条件,推荐安装GPU版的PaddlePaddle
* *CUDA 工具包8.0/9.2配合cuDNN v7.3+* * *CUDA 工具包8.0/9.0配合cuDNN v7.3+*
* *GPU运算能力超过1.0的硬件设备* * *GPU运算能力超过1.0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/) 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/)
...@@ -41,7 +41,7 @@ Windows系统下有3种安装方式: ...@@ -41,7 +41,7 @@ Windows系统下有3种安装方式:
注: 注:
* pip与python版本对应。如果是python2.7, 建议使用`pip`命令; 如果是python3.x, 则建议使用`pip3`命令 * pip与python版本对应。如果是python2.7, 建议使用`pip`命令; 如果是python3.x, 则建议使用`pip3`命令
* `pip3 install -U paddlepaddle-gpu` 此命令将安装支持CUDA 9.0 cuDNN v7的PaddlePaddle,目前windows环境下暂不支持其他版本的CUDA和cuDNN。 * `pip3 install -U paddlepaddle-gpu` 此命令将安装支持CUDA 8.0/9.0 cuDNN v7.3+的PaddlePaddle,目前windows环境下暂不支持其他版本的CUDA和cuDNN。
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## 验证安装 ## 验证安装
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...@@ -2,10 +2,9 @@ ...@@ -2,10 +2,9 @@
## Operating Environment ## Operating Environment
* *64-bit operating system* * *Windows 7/8/10 Pro/Enterprise(64bit)(CUDA 8.0/9.0 are supported, and only single GPU is supported)*
* *Windows 7/8, Windows 10 Pro/Enterprise* * *Python 2.7.15+/3.5.1+/3.6/3.7(64bit)*
* *Python 2.7/3.5/3.6/3.7* * *pip or pip3 9.0.1+(64bit)*
* *pip or pip3 >= 9.0.1*
### Precautions ### Precautions
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* If your computer doesn’t have NVIDIA® GPU, please install the CPU version of PaddlePaddle * 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 * If your computer has NVIDIA® GPU, and it satisfies the following requirements, we recommend you to install the GPU version of PaddlePaddle
* *CUDA Toolkit 8.0/9.2 with cuDNN v7.3+* * *CUDA Toolkit 8.0/9.0 with cuDNN v7.3+*
* *GPU's computing capability exceeds 1.0* * *GPU's computing capability exceeds 1.0*
Please refer to the NVIDIA official documents for the installation process and the configuration methods of [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and [cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/). Please refer to the NVIDIA official documents for the installation process and the configuration methods of [CUDA](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/) and [cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/).
...@@ -42,7 +41,7 @@ There is a checking function below for [verifyig whether the installation is suc ...@@ -42,7 +41,7 @@ There is a checking function below for [verifyig whether the installation is suc
Notice: Notice:
* The version of pip and the version of python should be corresponding: python2.7 corresponds to `pip`; python3.x corresponds to `pip3`. * The version of pip and the version of python should be corresponding: python2.7 corresponds to `pip`; python3.x corresponds to `pip3`.
* `pip install paddlepaddle-gpu` This command will install PaddlePaddle that supports CUDA 8.0 cuDNN v7. Currently, PaddlePaddle doesn't support any other version of CUDA or cuDNN on Windows. * `pip install paddlepaddle-gpu` This command will install PaddlePaddle that supports CUDA 8.0/9.0 cuDNN v7.3+, Currently, PaddlePaddle doesn't support any other version of CUDA or cuDNN on Windows.
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## Installation Verification ## Installation Verification
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