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Hello! I'm using coremltools to convert a custom architecture from pytorch to coreML. I've noticed that I only get correct results if I use the neuralnetwork backend and not the mlprogram backend. I'm wondering if anyone has any high(or low) level insights as to why this might be the case? And where I might be able to start tracing the differences in representations to find the supposed bug? Assuming this is a bug
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Hello! I'm using coremltools to convert a custom architecture from pytorch to coreML. I've noticed that I only get correct results if I use the neuralnetwork backend and not the mlprogram backend. I'm wondering if anyone has any high(or low) level insights as to why this might be the case? And where I might be able to start tracing the differences in representations to find the supposed bug? Assuming this is a bug
The text was updated successfully, but these errors were encountered: