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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-
