Will be grateful for any help 
I’m having a problem with using pytorch 2.2.1+cpu pretrained model in C++ via TorchLib 2.2.2 (cpu version). I’m also using Visual Studio 2022. I’ve added Torchlib to Cmake and it successfully downloads the model and works until line:
`at::Tensor output = module.forward(inputs).toTensor();`
After this line it crushes with the error: INTEL MKL ERROR: The specified module could not be found. mkl_avx2.1.dll. Intel MKL FATAL ERROR: Cannot load mkl_avx2.1.dll or mkl_def.1.dll. and I didn't figured out what is wrong with TorchLib here.
The whole code is here:
`#include <torch/script.h>
...
string path = "traced_energynn_model.pt";
torch::jit::script::Module module;
try {
// Deserialize the ScriptModule from a file using torch::jit::load().
module = torch::jit::load(path);
}
catch (const c10::Error& e) {
std::cerr << "error loading the model\n";
return -1;
}
std::cout << "Model traced_energynn_model loaded fine\n";
// Create a vector of inputs.
std::vector<torch::jit::IValue> inputs;
inputs.push_back(torch::randn({ 1, 2 }));
// Execute the model and turn its output into a tensor.
at::Tensor output = module.forward(inputs).toTensor();
std::cout << output << "\n";`
Seems like the problem is with some part of the lib related to python, but it’s strange because the model loads to C++ by LibTorch successfully.