Need help linking Tensorflow C++ API to C++ project

I trained a model in Python using Tensorflow and exported it. My wish is to use the model from a c++ program for inference.

I followed this guide and I successfully built some libraries using Bazel. The selected Tensorflow version is v4.2.0, without GPU.

The following files were generated in the tensorflow directory:

• tensorflow.dll
• tensorflow.dll.runfiles_manifest
• tf_custom_op_library_additional_deps.dll.gen.def
• tensorflow.dll-2.params
• tensorflow.lib
• tf_custom_op_library_additional_deps.dll.gen.def-0.params
• tensorflow.pdb
• tensorflow.dll.if.exp
• tensorflow.dll.if.lib
• tensorflow_filtered_def_file.def
• includes

In Visual Studio 2019 I added the includes directory for the compiler, and the tensorflow.dll.if.lib and tensorflow.lib for the linker as inputs. I solved all compile errors and I don't get any linker error. I copied the tensorflow.dll to the directory of the source. The program does not complain about missing dll.

When I run the folowing code:

#define NOMINMAX

#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/core/public/version.h"

#include <iostream>

int main() {

    std::cout << tf_git_version() << std::endl;
    std::unique_ptr<tensorflow::Session> session(tensorflow::NewSession({}));
    return 0;
}

I obtain the following output:

unknown

C:\...\x64\Debug\TensorflowTest.exe (process 10236) exited with code -1073741819.
Press any key to close this window . . .

One can observe that the functions are not working as expected. The first one prints "unknown" instead of a version number, the second one crashes the application.

After running in the debugger the line before the return statement, the following exception is thrown:

Exception thrown at 0x00007FFE6DF4B24B (tensorflow.dll) in TensorflowTest.exe: 0xC0000005: Access violation reading location 0x0000000000000018.

Call stack:

    tensorflow.dll!google::protobuf::Map<int,class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > >::InnerMap::begin(void)   
    tensorflow.dll!google::protobuf::Map<class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,int>::clear(void)  
    tensorflow.dll!google::protobuf::Map<class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,int>::~Map<class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,int>(void)  
    tensorflow.dll!tensorflow::ConfigProto::~ConfigProto(void)  
    TensorflowTest.exe!tensorflow::SessionOptions::~SessionOptions()

Please help me solve this problem.

I forgot that I must run the project in Release mode. After switching to release, the library is working, and the code does not crash.