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1/ PSA/rant: If your'e a developer trying to port a deep learning model from Onnx to Core ML and are finding that Apple's onnx-coreml conversion script isn't working out of the box- you aren't alone. While iOS13 has brought about great improvements to what you can do in Core ML,
2/ the path getting there is still not easy. In my case, the onnx-coreml conversion script proved to make some weirdly bad assumptions about what would be in a model. My issues all revolved around tensor rank (it didn't like rank 2 in attention, and it somehow didn't pick up on
3/ the rank in some otherwise very normal operations (conv/batch norm). I didn't dig into the code too much because quite frankly it's suspiciously complicated and I didn't want to deal with that. Instead, I just patched it up by modifying the script to work with my case-
Hi Jason, is there a pointer to the original model? It would help me try the conversion and try to repro the issue.
Wow thanks for the offer! The best I can point you to is public repo here: https://github.com/jantic/DeOldify . While the model isn’t exactly the same as what I’m doing currently the parts that break are the same.
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