我在使用官网提供的预测库时遇到报错

相关信息：
vs版本-vs2019
cuda-10.0
cudnn-7.6.5
c++预测库版本-cuda10.0_cudnn7_avx_mkl_trt6
预测库version.txt文件内容：
GIT COMMIT ID: ffa88c3
WITH_MKL: ON
WITH_MKLDNN: ON
WITH_GPU: ON
CUDA version: 10.0
CUDNN version: v7.4
CXX compiler version: 19.0.24215.1
WITH_TENSORRT: ON
TensorRT version: v6

代码信息：
#include "paddle/include/paddle_inference_api.h"
#include
#include
#include
#include
#include <gflags/gflags.h>
#include <glog/logging.h>

using paddle_infer::Config;
using paddle_infer::Predictor;
using paddle_infer::CreatePredictor;

DEFINE_string(model_file, "", "Directory of the inference model.");
DEFINE_string(params_file, "", "Directory of the inference model.");
DEFINE_string(model_dir, "", "Directory of the inference model.");
DEFINE_int32(batch_size, 1, "Directory of the inference model.");
DEFINE_bool(use_gpu, false, "enable gpu");
DEFINE_bool(use_mkldnn, false, "enable mkldnn");
DEFINE_bool(mem_optim, false, "enable memory optimize");

using Time = decltype(std::chrono::high_resolution_clock::now());
Time time() { return std::chrono::high_resolution_clock::now(); };
double time_diff(Time t1, Time t2) {
typedef std::chrono::microseconds ms;
auto diff = t2 - t1;
ms counter = std::chrono::duration_cast(diff);
return counter.count();
}

std::shared_ptr InitPredictor() {
Config config;
if (FLAGS_model_dir != "") {
config.SetModel(FLAGS_model_dir);
}
else {
config.SetModel(FLAGS_model_file, FLAGS_params_file);
}
if (FLAGS_use_gpu) {
config.EnableUseGpu(100, 0);
}
if (FLAGS_use_mkldnn) {
config.EnableMKLDNN();
}
// Open the memory optim.
if (FLAGS_mem_optim) {
config.EnableMemoryOptim();
}
return CreatePredictor(config);
}

void run(Predictor* predictor, const std::vector& input,
const std::vector& input_shape, const std::vector& input_im,
const std::vector& input_im_shape, std::vector* out_data) {
auto input_names = predictor->GetInputNames();
auto im_shape_handle = predictor->GetInputHandle(input_names[0]);
im_shape_handle->Reshape(input_im_shape);
im_shape_handle->CopyFromCpu(input_im.data());

auto image_handle = predictor->GetInputHandle(input_names[1]);
image_handle->Reshape(input_shape);
image_handle->CopyFromCpu(input_im.data());

auto scale_factor_handle = predictor->GetInputHandle(input_names[2]);
scale_factor_handle->Reshape(input_im_shape);
scale_factor_handle->CopyFromCpu(input_im.data());

CHECK(predictor->Run());

auto output_names = predictor->GetOutputNames();
auto output_t = predictor->GetOutputHandle(output_names[0]);
std::vector<int> output_shape = output_t->shape();
int out_num = std::accumulate(output_shape.begin(), output_shape.end(), 1,
    std::multiplies<int>());

out_data->resize(out_num);
output_t->CopyToCpu(out_data->data());

}

int main(int argc, char* argv[]) {
google::ParseCommandLineFlags(&argc, &argv, true);
auto predictor = InitPredictor();

const int height = 608;
const int width = 608;
const int channels = 3;
std::vector<int> input_shape = { FLAGS_batch_size, channels, height, width };
std::vector<float> input_data(FLAGS_batch_size * channels * height * width);
for (size_t i = 0; i < input_data.size(); ++i) {
    input_data[i] = i % 255 * 0.13f;
}
std::vector<int> input_im_shape = { FLAGS_batch_size, 2 };
std::vector<float> input_im_data(FLAGS_batch_size * 2, 608);

std::vector<float> out_data;
run(predictor.get(), input_data, input_shape, input_im_data, input_im_shape,
    &out_data);
LOG(INFO) << "output num is " << out_data.size();
return 0;

}

报错信息：
严重性 代码 说明 项目 文件 行 禁止显示状态
错误 LNK2001 无法解析的外部符号 "declspec(dllimport) public:cdecl google::LogMessageFatal::~LogMessageFatal(void)" (imp??1LogMessageFatal@google@@QEAA@XZ) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
警告 C26495 未初始化变量 paddle::AnalysisConfig::lite_precision_mode。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 64
警告 C26495 未初始化变量 paddle::AnalysisConfig::lite_zero_copy。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 64
警告 C26495 未初始化变量 paddle::AnalysisConfig::xpu_l3_workspace_size。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 64
警告 C26495 未初始化变量 paddle::ZeroCopyTensor::device。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 232
警告 C26495 未初始化变量 paddle::ZeroCopyTensor::dtype。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 232
警告 C26495 未初始化变量 paddle::ZeroCopyTensor::input_or_output。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 232
警告 C26495 未初始化变量 paddle::ZeroCopyTensor::place_。始终初始化成员变量(type.6)。 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 232
警告 C26439 可能不会 throw 此类型的函数。将其声明为 "noexcept" (f.6)。 paddle_test G:\paddle_inference_install_dir\third_party\install\glog\include\glog\logging.h 1631
警告 C26451 算术溢出: 使用 4 字节值上的运算符 * ，然后将结果转换到 8 字节值。在调用运算符 * 之前将值强制转换为宽类型可避免溢出(io.2)。 paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.cpp 89
警告 C26451 算术溢出: 使用 4 字节值上的运算符 * ，然后将结果转换到 8 字节值。在调用运算符 * 之前将值强制转换为宽类型可避免溢出(io.2)。 paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.cpp 94
警告 C4251 “paddle::PaddleTensor::name”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::PaddleTensor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 157
警告 C4251 “paddle::PaddleTensor::shape”: class“std::vector<int,std::allocator>”需要有 dll 接口由 struct“paddle::PaddleTensor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 158
警告 C4251 “paddle::PaddleTensor::lod”: class“std::vector<std::vector<size_t,std::allocator<size_t>>,std::allocator<std::vector<size_t,std::allocator<size_t>>>>”需要有 dll 接口由 struct“paddle::PaddleTensor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 161
警告 C4251 “paddle::ZeroCopyTensor::name”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 class“paddle::ZeroCopyTensor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 237
警告 C4251 “paddle::NativeConfig::prog_file”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::NativeConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 369
警告 C4251 “paddle::NativeConfig::param_file”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::NativeConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_api.h 371
警告 C4251 “paddle::PaddlePassBuilder::analysis_passes”: class“std::vectorstd::string,std::allocatorstd::string”需要有 dll 接口由 class“paddle::PaddlePassBuilder”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_pass_builder.h 110
警告 C4251 “paddle::PaddlePassBuilder::passes_”: class“std::vectorstd::string,std::allocatorstd::string”需要有 dll 接口由 class“paddle::PaddlePassBuilder”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_pass_builder.h 111
警告 C4251 “paddle::AnalysisConfig::model_dir_”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 588
警告 C4251 “paddle::AnalysisConfig::prog_file_”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 589
警告 C4251 “paddle::AnalysisConfig::params_file_”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 590
警告 C4251 “paddle::AnalysisConfig::min_input_shape_”: class“std::map<std::string,std::vector<int,std::allocator>,std::lessstd::string,std::allocator<std::pair<const std::string,std::vector<int,std::allocator>>>>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 624
警告 C4251 “paddle::AnalysisConfig::max_input_shape_”: class“std::map<std::string,std::vector<int,std::allocator>,std::lessstd::string,std::allocator<std::pair<const std::string,std::vector<int,std::allocator>>>>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 625
警告 C4251 “paddle::AnalysisConfig::optim_input_shape_”: class“std::map<std::string,std::vector<int,std::allocator>,std::lessstd::string,std::allocator<std::pair<const std::string,std::vector<int,std::allocator>>>>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 626
警告 C4251 “paddle::AnalysisConfig::trt_disabled_ops_”: class“std::vectorstd::string,std::allocatorstd::string”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 627
警告 C4251 “paddle::AnalysisConfig::mkldnn_enabled_op_types_”: class“std::unordered_setstd::string,std::hashstd::string,std::equal_tostd::string,std::allocatorstd::string”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 634
警告 C4251 “paddle::AnalysisConfig::serialized_info_cache_”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 651
警告 C4251 “paddle::AnalysisConfig::pass_builder_”: class“std::unique_ptrpaddle::PassStrategy,std::default_deletepaddle::PassStrategy”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 653
警告 C4251 “paddle::AnalysisConfig::lite_passes_filter_”: class“std::vectorstd::string,std::allocatorstd::string”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 656
警告 C4251 “paddle::AnalysisConfig::lite_ops_filter_”: class“std::vectorstd::string,std::allocatorstd::string”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 657
警告 C4251 “paddle::AnalysisConfig::mkldnn_quantizer_config_”: class“std::shared_ptrpaddle::MkldnnQuantizerConfig”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 668
警告 C4251 “paddle::AnalysisConfig::bfloat16_enabled_op_types_”: class“std::unordered_setstd::string,std::hashstd::string,std::equal_tostd::string,std::allocatorstd::string”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 670
警告 C4251 “paddle::AnalysisConfig::opt_cache_dir_”: class“std::basic_string<char,std::char_traits,std::allocator>”需要有 dll 接口由 struct“paddle::AnalysisConfig”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 677
警告 C4244 “return”: 从“const uint64_t”转换到“int”，可能丢失数据 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_analysis_config.h 210
警告 C4251 “paddle_infer::Tensor::tensor_”: class“std::unique_ptrpaddle::ZeroCopyTensor,std::default_deletepaddle::ZeroCopyTensor”需要有 dll 接口由 class“paddle_infer::Tensor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_inference_api.h 133
警告 C4251 “paddle_infer::Predictor::predictor_”: class“std::unique_ptrpaddle::PaddlePredictor,std::default_deletepaddle::PaddlePredictor”需要有 dll 接口由 class“paddle_infer::Predictor”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_inference_api.h 239
警告 C4251 “paddle_infer::services::PredictorPool::main_pred_”: class“std::shared_ptr<paddle_infer::Predictor>”需要有 dll 接口由 class“paddle_infer::services::PredictorPool”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_inference_api.h 307
警告 C4251 “paddle_infer::services::PredictorPool::preds_”: class“std::vector<std::unique_ptr<paddle_infer::Predictor,std::default_delete<paddle_infer::Predictor>>,std::allocator<std::unique_ptr<paddle_infer::Predictor,std::default_delete<paddle_infer::Predictor>>>>”需要有 dll 接口由 class“paddle_infer::services::PredictorPool”的客户端使用 paddle_test G:\paddle_inference_install_dir\paddle\include\paddle_inference_api.h 308
警告 C4244 “return”: 从“_Rep”转换到“double”，可能丢失数据 paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.cpp 29
错误 LNK2001 无法解析的外部符号 "unsigned int __cdecl google::ParseCommandLineFlags(int *,char * * *,bool)" (?ParseCommandLineFlags@google@@YAIPEAHPEAPEAPEAD_N@Z) paddle_test H:\OpenCV_C++_code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: __cdecl google::LogMessageFatal::LogMessageFatal(char const *,int)" (imp??0LogMessageFatal@google@@QEAA@PEBDH@Z) paddle_test H:\OpenCV_C++_code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "public: __cdecl google::FlagRegisterer::FlagRegisterer(char const *,char const *,char const *,bool *,bool *)" (??$?0_N@FlagRegisterer@google@@QEAA@PEBD00PEA_N1@Z) paddle_test H:\OpenCV_C++_code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "public: __cdecl google::FlagRegisterer::FlagRegisterer<class std::basic_string<char,struct std::char_traits,class std::allocator > >(char const *,char const *,char const *,class std::basic_string<char,struct std::char_traits,class std::allocator > *,class std::basic_string<char,struct std::char_traits,class std::allocator > *)" (??$?0V?$basic_string@DU?$char_traits@D@std@@v?$allocator@D@2@@std@@@FlagRegisterer@google@@QEAA@PEBD00PEAV?$basic_string@DU?$char_traits@D@std@@v?$allocator@D@2@@std@@1@Z) paddle_test H:\OpenCV_C++_code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "public: __cdecl google::FlagRegisterer::FlagRegisterer(char const *,char const *,char const *,int *,int *)" (??$?0H@FlagRegisterer@google@@QEAA@PEBD00PEAH1@Z) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: class std::basic_ostream<char,struct std::char_traits > & __cdecl google::LogMessage::stream(void)" (imp?stream@LogMessage@google@@QEAAAEAV?$basic_ostream@DU?$char_traits@D@std@@@std@@xz) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: __cdecl google::LogMessage::~LogMessage(void)" (imp??1LogMessage@google@@QEAA@XZ) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: __cdecl google::LogMessage::LogMessage(char const *,int)" (imp??0LogMessage@google@@QEAA@PEBDH@Z) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: void __cdecl google::LogMessageVoidify::operator&(class std::basic_ostream<char,struct std::char_traits > &)" (imp??ILogMessageVoidify@google@@QEAAXAEAV?$basic_ostream@DU?$char_traits@D@std@@@std@@@z) paddle_test H:\OpenCV_C++code\paddle_test\paddle_test\main.obj 1
错误 LNK2001 无法解析的外部符号 "__declspec(dllimport) public: __cdecl google::LogMessageVoidify::LogMessageVoidify(void)" (imp??0LogMessageVoidify@google@@QEAA@XZ) paddle_test H:\OpenCV_C++_code\paddle_test\paddle_test\main.obj 1
错误 LNK1120 11 个无法解析的外部命令 paddle_test H:\OpenCV_C++_code\paddle_test\x64\Release\paddle_test.exe 1

请问一下该如何解决呢？