update cudnn (#2267)

doc/fluid/install/index_cn.rst

@@ -32,7 +32,7 @@
 =================================
 
 * 目前 **PaddlePaddle** 仅支持 **NVIDIA** 显卡的 **CUDA** 驱动
-* 需要安装 `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ ，版本要求 7.3+(For CUDA9/10)
+* 需要安装 `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ ，版本要求 7.6+(For CUDA9/10)
 * 如果您需要 GPU 多卡模式，需要安装 `NCCL 2 <https://developer.nvidia.com/nccl/>`_
 
     * 仅 Ubuntu/CentOS 支持 NCCL 2 技术

doc/fluid/install/index_en.rst

@@ -32,7 +32,7 @@ The manuals will guide you to build and install PaddlePaddle on your 64-bit desk
 =================================
 
 * Currently, **PaddlePaddle** only supports **CUDA** driver of **NVIDIA** graphics card.
-* You need to install `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ , and version 7.3+ is required(For CUDA9/10) 
+* You need to install `cuDNN <https://docs.nvidia.com/deeplearning/sdk/cudnn-install/>`_ , and version 7.6+ is required(For CUDA9/10) 
 * If you need GPU multi-card mode, you need to install `NCCL 2 <https://developer.nvidia.com/nccl/>`_
 
     * Only Ubuntu/CentOS support NCCL 2

doc/fluid/install/install_CentOS.md

@@ -64,8 +64,8 @@
 
 * 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10.0配合cuDNN v7.3+(如需多卡支持，需配合NCCL2.3.7及更高)**
-	* **CUDA 工具包9.0配合cuDNN v7.3+(如需多卡支持，需配合NCCL2.3.7及更高)**
+	* **CUDA 工具包10.0配合cuDNN v7.6+(如需多卡支持，需配合NCCL2.3.7及更高)**
+	* **CUDA 工具包9.0配合cuDNN v7.6+(如需多卡支持，需配合NCCL2.3.7及更高)**
 	* **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/)

doc/fluid/install/install_CentOS_en.md

@@ -65,8 +65,8 @@
 
 * If your computer has NVIDIA® GPU, please make sure that the following conditions are met and install the GPU version of PaddlePaddle
 
-    * **CUDA toolkit 10.0 with cuDNN v7.3+(for multi card support, NCCL2.3.7 or higher)**
-    * **CUDA toolkit 9.0 with cuDNN v7.3+(for multi card support, NCCL2.3.7 or higher)**
+    * **CUDA toolkit 10.0 with cuDNN v7.6+(for multi card support, NCCL2.3.7 or higher)**
+    * **CUDA toolkit 9.0 with cuDNN v7.6+(for multi card support, NCCL2.3.7 or higher)**
     * **Hardware devices with GPU computing power over 1.0**
 
         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/)

doc/fluid/install/install_Ubuntu.md

@@ -64,8 +64,8 @@
 * 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
-	* **CUDA 工具包10.0配合cuDNN v7.3+(如需多卡支持，需配合NCCL2.3.7及更高)**
-	* **CUDA 工具包9.0配合cuDNN v7.3+(如需多卡支持，需配合NCCL2.3.7及更高)**
+	* **CUDA 工具包10.0配合cuDNN v7.6+(如需多卡支持，需配合NCCL2.3.7及更高)**
+	* **CUDA 工具包9.0配合cuDNN v7.6+(如需多卡支持，需配合NCCL2.3.7及更高)**
 	* **GPU运算能力超过1.0的硬件设备**
 
 

doc/fluid/install/install_Ubuntu_en.md

@@ -64,8 +64,8 @@
 * If your computer doesn't have NVIDIA® GPU, please install CPU version of PaddlePaddle
 
 * If your computer has NVIDIA® GPU, and meet the following conditions, we command you to install PaddlePaddle
-    * **CUDA toolkit 10.0 with cuDNN v7.3+(for multi card support, NCCL2.3.7 or higher)**
-    * **CUDA toolkit 9.0 with cuDNN v7.3+(for multi card support, NCCL2.3.7 or higher)**
+    * **CUDA toolkit 10.0 with cuDNN v7.6+(for multi card support, NCCL2.3.7 or higher)**
+    * **CUDA toolkit 9.0 with cuDNN v7.6+(for multi card support, NCCL2.3.7 or higher)**
     * **Hardware devices with GPU computing power over 1.0**