Ongoing effort?: merge script::Module and nn::Module

I’m very interested in saving a model trained in c++ to onnx without having to travel through python. It seems like merging script::Module and nn::Module would allow this.

Per torch::jit::trace C++ equivalent of torch.jit.trace · Issue #14811 · pytorch/pytorch · GitHub

    We do plan to merge script::Module and nn::Module in a future release, however!

Is there a way that I can track the progress of this merge?

how about use serialize nn module like following codes.

torch::serialize::InputArchive archive_input; archive_input.load_from(“D:\”, device.type());

and then, load archive_input