Hello,
I was following the basic tutorial for loading an exported model in Torchscript (Loading a TorchScript Model in C++ — PyTorch Tutorials 1.8.1+cu102 documentation 1)
but after I run either
cmake -DCMAKE_PREFIX_PATH="$(python -c 'import torch.utils; print(torch.utils.cmake_prefix_path)')" ..
or
cmake -DCMAKE_PREFIX_PATH=/path/to/libtorch ..

and make and try running the executable, I get the error
./aanet: symbol lookup error: ./aanet: undefined symbol: _ZN5torch3jit4loadERKSsN3c108optionalINS3_6DeviceEEERSt13unordered_mapISsSsSt4hashISsESt8equal_toISsESaISt4pairIS1_SsEEE

(I’m on Ubuntu 20.04, x86_64, and tried with both pytorch 1.7 and 1.8)
I’ve tried some suggestions I found in previous threads like

Creating a brand new conda environment and installing pytorch alone
Adding to CMake set(CMAKE_CXX_FLAGS "-D_GLIBCXX_USE_CXX11_ABI=0")

Using the pre-cxx11 ABI libtorch

These are my files

 CMakeLists.txt 
cmake_minimum_required(VERSION 3.0)

project(aanet)

# add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)

set(CMAKE_CXX_FLAGS "-D_GLIBCXX_USE_CXX11_ABI=0")

find_package(Torch REQUIRED)

add_executable(${PROJECT_NAME} main.cpp)

target_link_libraries(${PROJECT_NAME} "${TORCH_LIBRARIES}")

set_property(TARGET ${PROJECT_NAME} PROPERTY CXX_STANDARD 14)



 main.cpp 
#include <torch/script.h> // One-stop header.

#include <iostream>
#include <memory>

int main(int argc, const char *argv[])
{
    if (argc != 2)
    {
        std::cerr << "usage: example-app <path-to-exported-script-module>\n";
        return -1;
    }

    torch::jit::script::Module module;
    try
    {
        // Deserialize the ScriptModule from a file using torch::jit::load().
        module = torch::jit::load(argv[1]);
    }
    catch (const c10::Error &e)
    {
        std::cerr << "error loading the model\n";
        return -1;
    }

    std::cout << "ok\n";
}


I’m completely lost on how to debug this problem (without resorting to a full reset) as I’ve no issues compiling and running this simple example on my other devices.
Any help would be greatly appreciated. Thanks!