[Cherry-pick] Update inference build doc and inference lib download links (#1743)

* update inference build doc with jetson support, test=develop, test=document_preview (#1673)

* update inference lib download links, test=develop (#1742)
Co-authored-by: NPei Yang <peiyang@baidu.com>

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

@@ -7,20 +7,19 @@
 -------------
 
 ..  csv-table:: 
-    :header: "版本说明", "预测库(1.6.2版本)", "预测库(develop版本)"
+    :header: "版本说明", "预测库(1.6.3版本)", "预测库(develop版本)"
     :widths: 3, 2, 2
 
-    "ubuntu14.04_cpu_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-cpu-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-mkl/fluid_inference.tgz>`_"
-    "ubuntu14.04_cpu_avx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-cpu-avx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-openblas/fluid_inference.tgz>`_"
-    "ubuntu14.04_cpu_noavx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-cpu-noavx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-noavx-openblas/fluid_inference.tgz>`_"
-    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-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>`_"
-    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_"
-    "ubuntu14.04_cuda8.0_cudnn7_avx_mkl_trt4", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-gpu-cuda8-cudnn7-avx-mkl-trt4/fluid_inference.tgz>`_", 
-    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-gpu-cuda9-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
-    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-gpu-cuda10-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
-    "nv-jetson-cuda10-cudnn7.5-trt5", "`fluid_inference.tar.gz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-nv-jetson-cuda10-cudnn7.5-trt5/fluid_inference.tar.gz>`_", 
-
-**Note:所提供的C++预测库均使用GCC 4.8编译。**
+    "ubuntu14.04_cpu_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-mkl/fluid_inference.tgz>`_"
+    "ubuntu14.04_cpu_avx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-avx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-openblas/fluid_inference.tgz>`_"
+    "ubuntu14.04_cpu_noavx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-noavx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-noavx-openblas/fluid_inference.tgz>`_"
+    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-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>`_"
+    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_"
+    "ubuntu14.04_cuda8.0_cudnn7_avx_mkl_trt4", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda8-cudnn7-avx-mkl-trt4/fluid_inference.tgz>`_", 
+    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda9-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
+    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda10-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
+    "nv-jetson-cuda10-cudnn7.5-trt5", "`fluid_inference.tar.gz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-nv-jetson-cuda10-cudnn7.5-trt5/fluid_inference.tar.gz>`_", 
+
 
 从源码编译
 ----------

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

@@ -7,36 +7,58 @@ Direct Download and Installation
 ---------------------------------
 
 ..  csv-table:: c++ inference library list
-    :header: "version description", "inference library(1.6.2 version)", "inference library(develop version)"
-    :widths: 1, 3, 3
-
-    "cpu_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-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/1.6.2-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/1.6.2-cpu-noavx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-noavx-openblas/fluid_inference.tgz>`_"
-    "cuda9.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-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>`_"
-    "cuda10.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_"
-    "nv-jetson-cuda10-cudnn7.5-trt5", "`fluid_inference.tar.gz <https://paddle-inference-lib.bj.bcebos.com/1.6.2-nv-jetson-cuda10-cudnn7.5-trt5/fluid_inference.tar.gz>`_", 
+    :header: "version description", "inference library(1.6.3 version)", "inference library(develop version)"
+    :widths: 3, 2, 2
+
+    "ubuntu14.04_cpu_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-mkl/fluid_inference.tgz>`_"
+    "ubuntu14.04_cpu_avx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-avx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-avx-openblas/fluid_inference.tgz>`_"
+    "ubuntu14.04_cpu_noavx_openblas", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-cpu-noavx-openblas/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-cpu-noavx-openblas/fluid_inference.tgz>`_"
+    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-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>`_"
+    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/latest-gpu-cuda10-cudnn7-avx-mkl/fluid_inference.tgz>`_"
+    "ubuntu14.04_cuda8.0_cudnn7_avx_mkl_trt4", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda8-cudnn7-avx-mkl-trt4/fluid_inference.tgz>`_", 
+    "ubuntu14.04_cuda9.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda9-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
+    "ubuntu14.04_cuda10.0_cudnn7_avx_mkl_trt5", "`fluid_inference.tgz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-gpu-cuda10-cudnn7-avx-mkl-trt5/fluid_inference.tgz>`_", 
+    "nv-jetson-cuda10-cudnn7.5-trt5", "`fluid_inference.tar.gz <https://paddle-inference-lib.bj.bcebos.com/1.6.3-nv-jetson-cuda10-cudnn7.5-trt5/fluid_inference.tar.gz>`_", 
 
 Build from Source Code
 -----------------------
 
 Users can also compile C++ inference libraries from the PaddlePaddle core code by specifying the following compile options at compile time:
 
-============================  ======================
-Option                        Value
-============================  ======================
-CMAKE_BUILD_TYPE              Release
-FLUID_INFERENCE_INSTALL_DIR   Path of installation
-WITH_PYTHON                   OFF（recommended）
-ON_INFER                      ON（recommended）
-WITH_GPU                      ON/OFF
-WITH_MKL                      ON/OFF
-============================  ======================
+============================  ===============  ==================
+Option                        Value            Description
+============================  ===============  ==================
+CMAKE_BUILD_TYPE              Release          cmake build type, set to Release if debug messages are not needed
+FLUID_INFERENCE_INSTALL_DIR   path             install path of inference libs
+WITH_PYTHON                   OFF(recomended)  build python libs and whl package
+ON_INFER                      ON(recomended)   build with inference settings
+WITH_GPU                      ON/OFF           build inference libs on GPU
+WITH_MKL                      ON/OFF           build inference libs supporting MKL
+WITH_MKLDNN                   ON/OFF           build inference libs supporting MKLDNN
+WITH_XBYAK                    ON               build with XBYAK, must be OFF when building on NV Jetson platforms
+WITH_NV_JETSON                OFF              build inference libs on NV Jetson platforms
+============================  ===============  ==================
+
+It is recommended to configure options according to the recommended values to avoid linking unnecessary libraries. Other options can be set if it is necessary.
+
+
+Firstly we pull the latest code from github and install nccl.
+
+.. code-block:: bash
+
+  git clone https://github.com/paddlepaddle/paddle
+  # Use git checkout to switch to stable versions such as v1.6.2
+  git checkout v1.6.2
 
-It is recommended to configure options according to the recommended values to avoid the link to unnecessary library. Other options can be set if it is necessary.
+  git clone https://github.com/NVIDIA/nccl.git
+  make -j4
+  make install
 
+**note**: nccl is not used but still needed in building. This dependence will be removed later.
 
-The following code snippet pulls the latest code from github and specifies the compiling options (you need to replace PADDLE_ROOT with the installation path of the PaddlePaddle inference library):
+**build inference libs on server**
+
+Following codes set the configurations and execute building(PADDLE_ROOT should be set to the actual installing path of inference libs).
 
   .. code-block:: bash
 
@@ -55,6 +77,79 @@ The following code snippet pulls the latest code from github and specifies the c
       make
       make inference_lib_dist
 
+**build inference libs on NVIDIA Jetson platforms**
+
+NVIDIA Jetson is an AI computing platform in embedded systems introduced by NVIDIA. Paddle Inference supports building inference libs on NVIDIA Jetson platforms. The steps are as following.
+
+    1. Prepare environments
+
+      Turn on hardware performance mode
+
+      .. code-block:: bash
+        
+        sudo nvpmodel -m 0 && sudo jetson_clocks
+
+      if building on Nano hardwares, increase swap memory
+
+      .. code-block:: bash
+
+        # Increase DDR valid space. Default memory allocated is 16G, which is enough for Xavier. Following steps are for Nano hardwares.
+        sudo fallocate -l 5G /var/swapfile
+        sudo chmod 600 /var/swapfile
+        sudo mkswap /var/swapfile
+        sudo swapon /var/swapfile
+        sudo bash -c 'echo "/var/swapfile swap swap defaults 0 0" >> /etc/fstab'
+
+    2. Build paddle inference libs
+
+      .. code-block:: bash
+ 
+        cd Paddle
+        mkdir build
+        cd build
+        cmake .. \
+          -DWITH_CONTRIB=OFF \
+          -DWITH_MKL=OFF  \
+          -DWITH_MKLDNN=OFF \
+          -DWITH_TESTING=OFF \
+          -DCMAKE_BUILD_TYPE=Release \
+          -DON_INFER=ON \
+          -DWITH_PYTHON=OFF \
+          -DWITH_XBYAK=OFF  \
+          -DWITH_NV_JETSON=ON 
+        make -j4       
+        # Generate inference libs
+        make inference_lib_dist -j4
+      
+    3. Test with samples
+      Please refer to samples on https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_usage/deploy/inference/paddle_tensorrt_infer.html#id2
+
+    **FAQ**
+
+    1. Error:
+
+      .. code-block:: bash
+
+        ERROR: ../aarch64-linux-gpn/crtn.o: Too many open files.
+
+      Fix this by increasing the number of files the system can open at the same time to 2048.
+
+      .. code-block:: bash
+        
+        ulimit -n 2048
+
+    2. The building process hangs.
+      Might be downloading third-party libs. Wait or kill the building process and start again.
+
+    3. Lacking virtual destructors for IPluginFactory or IGpuAllocator when using TensorRT.
+      After downloading and installing TensorRT, add virtual destructors for IPluginFactory and IGpuAllocator in NvInfer.h:
+
+      .. code-block:: bash
+        
+        virtual ~IPluginFactory() {};
+        virtual ~IGpuAllocator() {};      
+
+
 After successful compilation, dependencies required by the C++ inference library Will be stored in the PADDLE_ROOT directory. (dependencies including: (1) compiled PaddlePaddle inference library and header files; (2) third-party link libraries and header files; (3) version information and compilation option information)
 
 The directory structure is: