Hi DGL developers,
I’m working on a customized model using DGL with PyTorch backend. For our research purposes, I’m very interested in loading the pre-trained model into C++ for model inference and obtaining gradients, like what could do for native PyTorch, to speed up the data processing pipeline.
I noticed that currently there is no official DGL C++ frontend published. Then - Is it possible to deploy a pretrained model in C++ without extensive interfacing works? Thanks a lot in advance!