Thanks for your reply @supriyar ,

Does it mean that we can convert to onnx scripted parts of network (using torch.jit.script) ?
What if our network contains of operators that aren’t available in TorchScript but available in Caffe2 (e.g. RoIAlign)?
Optionally is it possible to use quantized layers with TorchScript backend on mobile (I mean without additional conversion to Caffe2 using ONNX)?