(no title)
skrunch | 3 years ago
I mean sure, there are limitations, but this is greatly exaggerating their impact in my experience. I'd be curious to hear from anyone where these have been serious blockers, I've been exporting PyTorch models to ONNX (for CV applications) for the last couple of years without any major issues (and any issues that did pop up were resolved in a matter of hours).
davidatbu|3 years ago
(1) code that is very dynamic, making it hard for Pytorch to convert the modules to TorchScript (which it does before converting them to ONNX)
(2) ops that were simply not available in ONNX. Especially, torch.fft, also some others.
[0] https://github.com/burchim/EfficientConformer