update_inference_link (#542)

* update_inference_link (#540)

* update_inference_link

* delete cuda 7.5 line in table

* add&update develop table

* integration_2tables

* Update build_and_install_lib_cn.rst

doc/fluid/advanced_usage/deploy/inference/build_and_install_lib_cn.rst

@@ -6,27 +6,27 @@
 直接下载安装
 -------------
 
-======================   ========================================
-版本说明                            C++预测库   
-======================   ========================================
-cpu_avx_mkl              `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxCp27cp27mu/.lastSuccessful/fluid_inference.tgz>`_ 
-cpu_avx_openblas         `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuAvxOpenblas/.lastSuccessful/fluid_inference.tgz>`_
-cpu_noavx_openblas       `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_CpuNoavxOpenblas/.lastSuccessful/fluid_inference.tgz>`_
-cuda7.5_cudnn5_avx_mkl   `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/fluid_inference.tgz>`_
-cuda8.0_cudnn5_avx_mkl   `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/fluid_inference.tgz>`_
-cuda8.0_cudnn7_avx_mkl   `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/fluid_inference.tgz>`_
-cuda9.0_cudnn7_avx_mkl   `fluid_inference.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/.lastSuccessful/fluid_inference.tgz>`_
-======================   ========================================
+..  csv-table:: c++预测库列表
+    :header: "版本说明", "预测库(1.2版本)", "预测库(develop版本)"
+    :widths: 1, 3, 3
+
+    "cpu_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-cpu-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-mkl/fluid_inference.tgz>`_"
+    "cpu_avx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-cpu-avx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-openblas/fluid_inference.tgz>`_"
+    "cpu_noavx_openblas","`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-cpu-noavx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-noavx-openblas/fluid_inference.tgz>`_"
+    "cuda8.0_cudnn5_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-gpu-cuda8-cudnn5-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda8-cudnn5-avx-mkl/fluid_inference.tgz>`_"
+    "cuda8.0_cudnn7_avx_mkl","`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-gpu-cuda8-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda8-cudnn7-avx-mkl/fluid_inference.tgz>`_"
+    "cuda9.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.2.0-gpu-cuda9-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda9-cudnn7-avx-mkl/fluid_inference.tgz>`_"
+
 
 从源码编译
 ----------
 用户也可以从 PaddlePaddle 核心代码编译C++预测库，只需在编译时配制下面这些编译选项：
 
 ============================  =========
-选项                           值   
+选项                           值
 ============================  =========
 CMAKE_BUILD_TYPE              Release
-FLUID_INFERENCE_INSTALL_DIR   安装路径    
+FLUID_INFERENCE_INSTALL_DIR   安装路径
 WITH_FLUID_ONLY               ON（推荐）
 WITH_SWIG_PY                  OFF（推荐）
 WITH_PYTHON                   OFF（推荐）
@@ -92,7 +92,7 @@ WITH_MKL                      ON/OFF
      │       ├── xxhash
      │       └── zlib
      └── version.txt
-     
+
 version.txt 中记录了该预测库的版本信息，包括Git Commit ID、使用OpenBlas或MKL数学库、CUDA/CUDNN版本号，如：
 
   .. code-block:: text