Hey, I’m quite stuck on trying to run torch::jit::Graph with cpp API, I have already tried to search for docs or implementations but failed.
my main purpose to do so is to divide a JIT Graph into subgraphs (I would like to control which nodes go to each subgraph). My plan is to parse a graph into nodes and then create new graphs from each sequence of nodes (with my own decision) and then run each graph one by one.
this is what I have already tried:
#include <torch/script.h>
#include <iostream>

int main() {
    torch::jit::script::Module my_model = torch::jit::load("<MY_PATH>/model.pkl");

    torch::jit::script::Method m = my_model.get_method("forward");
    auto g = m.graph();

    auto cu = std::make_shared<torch::jit::script::CompilationUnit>();
    c10::QualifiedName name("forward");
    torch::Function *fn = cu->create_function(std::move(name), g);

    std::vector<torch::jit::IValue> inputs;
    inputs.push_back(torch::rand({1, 1, 3, 3}));

    auto output = fn->operator()(inputs);
    std::cout << output << std::endl;
}

based on model.pkl that was produced by the python code below:
import torch
import torch.nn as nn

class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.conv = nn.Conv2d(1, 1, 3)

    def forward(self, x):
        return self.conv(x)

scripted_foo = torch.jit.script(Net())
scripted_foo.save('model.pkl')

this cpp approch produces the following error:
libc++abi.dylib: terminating with uncaught exception of type c10::Error: forward() Expected a value of type '__torch__.Net' for argument 'self' but instead found type 'Tensor'.
Position: 0
Declaration: forward(__torch__.Net self, Tensor x) -> (Tensor) (checkArg at ../aten/src/ATen/core/function_schema_inl.h:194)
frame #0: c10::Error::Error(c10::SourceLocation, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) + 135 (0x1038ce787 in libc10.dylib)
frame #1: c10::FunctionSchema::checkArg(c10::IValue const&, c10::Argument const&, c10::optional<unsigned long>) const + 719 (0x11285ee6f in libtorch.dylib)
frame #2: c10::FunctionSchema::checkAndNormalizeInputs(std::__1::vector<c10::IValue, std::__1::allocator<c10::IValue> >&, std::__1::unordered_map<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, c10::IValue, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::allocator<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const, c10::IValue> > > const&) const + 228 (0x11285ddf4 in libtorch.dylib)
frame #3: torch::jit::Function::operator()(std::__1::vector<c10::IValue, std::__1::allocator<c10::IValue> >, std::__1::unordered_map<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, c10::IValue, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::allocator<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const, c10::IValue> > > const&) + 49 (0x11285d221 in libtorch.dylib)
frame #4: main + 686 (0x1037eb59e in deep_project)
frame #5: start + 1 (0x7fff700f0cc9 in libdyld.dylib)
frame #6: 0x0 + 1 (0x1 in ???)

Process finished with exit code 6

I assume that I need to push self of type __torch__.Net somehow but I dont know how, I will be happy for some help.
thanks a lot.