PaddlePaddle——在X86的Ubuntu18.04中基于C++部署Paddle Inference示例工程

文章目录

• ​​一、环境配置​​
• ​​二、本地新建工程​​

• ​​１.创建工程​​
• ​​2.跑通示例程序​​
• ​​3.配置Paddle Inference库文件​​

• ​​（１）下载Paddle Inference预测库文件​​
• ​​（２）放置Paddle Inference库文件​​
• ​​（３）配置CMakeLists.txt文件​​
• ​​（４）配置编译脚本compile.sh​​
• ​​配置模型文件​​

• ​​运行​​

一、环境配置

• ​​PaddlePaddle——在X86的Ubuntu18.04中基于C++部署Paddle Inference GPU预测库（2.1.1）​​

二、本地新建工程

１.创建工程

mkdir paddle_cpp_demo
cd paddle_cpp_demo
touch CMakeLists.txt  
mkdir src # 存放代码
mkdir model # 存放模型文件
mkdir data # 存放实验图片和数据
mkdir build # 编译文件
mkdir lib # 存放库文件

2.跑通示例程序

解压文件夹。

3.配置Paddle Inference库文件

（１）下载Paddle Inference预测库文件

根据自己电脑的版本型号进行选择即可：

（２）放置Paddle Inference库文件

将在官网下载好的​​Linux预测库​​​放在​​lib​​路径下并解压。

（３）配置CMakeLists.txt文件

​​CMakeLists.txt​​

cmake_minimum_required(VERSION 3.10)
project(cpp_inference_demo CXX C)
if(COMMAND cmake_policy)
  cmake_policy(SET CMP0003 NEW)
endif(COMMAND cmake_policy)
option(WITH_MKL        "Compile demo with MKL/OpenBlas support, default use MKL."       ON)
option(WITH_GPU        "Compile demo with GPU/CPU, default use CPU."                    OFF)
option(WITH_STATIC_LIB "Compile demo with static/shared library, default use static."   ON)
option(USE_TENSORRT "Compile demo with TensorRT."   OFF)


macro(safe_set_static_flag)
    foreach(flag_var
        CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_DEBUG CMAKE_CXX_FLAGS_RELEASE
        CMAKE_CXX_FLAGS_MINSIZEREL CMAKE_CXX_FLAGS_RELWITHDEBINFO)
      if(${flag_var} MATCHES "/MD")
        string(REGEX REPLACE "/MD" "/MT" ${flag_var} "${${flag_var}}")
      endif(${flag_var} MATCHES "/MD")
    endforeach(flag_var)
endmacro()

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -g")
set(CMAKE_STATIC_LIBRARY_PREFIX "")
message("flags" ${CMAKE_CXX_FLAGS})

if(NOT DEFINED PADDLE_LIB)
  message(FATAL_ERROR "please set PADDLE_LIB with -DPADDLE_LIB=/path/paddle/lib")
endif()
if(NOT DEFINED DEMO_NAME)
  message(FATAL_ERROR "please set DEMO_NAME with -DDEMO_NAME=demo_name")
endif()


include_directories("${PADDLE_LIB}")
include_directories("${PADDLE_LIB}/third_party/install/protobuf/include")
include_directories("${PADDLE_LIB}/third_party/install/glog/include")
include_directories("${PADDLE_LIB}/third_party/install/gflags/include")
include_directories("${PADDLE_LIB}/third_party/install/xxhash/include")
include_directories("${PADDLE_LIB}/third_party/install/zlib/include")
include_directories("${PADDLE_LIB}/third_party/boost")
include_directories("${PADDLE_LIB}/third_party/eigen3")

link_directories("${PADDLE_LIB}/third_party/install/zlib/lib")

link_directories("${PADDLE_LIB}/third_party/install/protobuf/lib")
link_directories("${PADDLE_LIB}/third_party/install/glog/lib")
link_directories("${PADDLE_LIB}/third_party/install/gflags/lib")
link_directories("${PADDLE_LIB}/third_party/install/xxhash/lib")
link_directories("${PADDLE_LIB}/paddle/lib")

add_executable(${DEMO_NAME} src/${DEMO_NAME}.cc)

if(WITH_MKL)
  include_directories("${PADDLE_LIB}/third_party/install/mklml/include")
  set(MATH_LIB ${PADDLE_LIB}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX}
               ${PADDLE_LIB}/third_party/install/mklml/lib/libiomp5${CMAKE_SHARED_LIBRARY_SUFFIX})
  set(MKLDNN_PATH "${PADDLE_LIB}/third_party/install/mkldnn")
  if(EXISTS ${MKLDNN_PATH})
    include_directories("${MKLDNN_PATH}/include")
    set(MKLDNN_LIB ${MKLDNN_PATH}/lib/libmkldnn.so.0)
  endif()
else()
  set(MATH_LIB ${PADDLE_LIB}/third_party/install/openblas/lib/libopenblas${CMAKE_STATIC_LIBRARY_SUFFIX})
endif()

# Note: libpaddle_inference_api.so/a must put before libpaddle_fluid.so/a
if(WITH_STATIC_LIB)
  set(DEPS
      ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_STATIC_LIBRARY_SUFFIX})
else()
  set(DEPS
      ${PADDLE_LIB}/paddle/lib/libpaddle_inference${CMAKE_SHARED_LIBRARY_SUFFIX})
endif()

set(EXTERNAL_LIB "-lrt -ldl -lpthread")
set(DEPS ${DEPS}
    ${MATH_LIB} ${MKLDNN_LIB}
    glog gflags protobuf xxhash
    ${EXTERNAL_LIB})

if(WITH_GPU)
  if (USE_TENSORRT)
      set(DEPS ${DEPS} ${TENSORRT_LIB_DIR}/libnvinfer${CMAKE_SHARED_LIBRARY_SUFFIX})
      set(DEPS ${DEPS} ${TENSORRT_LIB_DIR}/libnvinfer_plugin${CMAKE_SHARED_LIBRARY_SUFFIX})
    endif()
    set(DEPS ${DEPS} ${CUDA_LIB}/libcudart${CMAKE_SHARED_LIBRARY_SUFFIX})
endif()

target_link_libraries(${DEMO_NAME} ${DEPS})

（４）配置编译脚本compile.sh

​​compile.sh​​

#!/bin/bash
set +x
set -e

work_path=$(dirname $(readlink -f $0))

# 1. check paddle_inference exists
if [ ! -d "${work_path}/lib/paddle_inference" ]; then
  echo "Please download paddle_inference lib and move it in your_project/lib"
  exit 1
fi

# 2. compile
mkdir -p build
cd build
rm -rf *

# 可配置参数
DEMO_NAME=yolov3_test

WITH_MKL=ON
WITH_GPU=ON
USE_TENSORRT=OFF

# 需要更改为自己的路径
LIB_DIR=${work_path}/lib/paddle_inference
CUDNN_LIB=/usr/lib/x86_64-linux-gnu/
CUDA_LIB=/usr/local/cuda/lib64
TENSORRT_ROOT=/home/pc/Softwares/cuda/tensorRT7/TensorRT-7.2.3.4

cmake .. -DPADDLE_LIB=${LIB_DIR} \
  -DWITH_MKL=${WITH_MKL} \
  -DDEMO_NAME=${DEMO_NAME} \
  -DWITH_GPU=${WITH_GPU} \
  -DWITH_STATIC_LIB=OFF \
  -DUSE_TENSORRT=${USE_TENSORRT} \
  -DCUDNN_LIB=${CUDNN_LIB} \
  -DCUDA_LIB=${CUDA_LIB} \
  -DTENSORRT_ROOT=${TENSORRT_ROOT}

make -j4

配置模型文件

cd model
wget https://paddle-inference-dist.bj.bcebos.com/Paddle-Inference-Demo/yolov3_r50vd_dcn_270e_coco.tgz
tar xzf yolov3_r50vd_dcn_270e_coco.tgz

运行

sudo ./compile.sh
cd build
./yolov3_test -model_file ../model/yolov3_r50vd_dcn_270e_coco/model.pdmodel --params_file ../model/yolov3_r50vd_dcn_270e_coco/model.pdiparams

接下来就可以在自己的工程中自行更改代码啦～