Indeed. We’ve removed tutorials around this as the Caffe2 path really isn’t being maintained. Assuming you are focused on using ONNX (and not deploying via Torchscript), to leverage the latest opset, it makes more sense to export an ONNX model from PyTorch and then deploy in ONN Runtime as @tom suggests. Here is a tutorial that is maintained by the MSFT team: https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html 5