Pierre Boudoin
Pierre Boudoin
It's not possible as is. There are missing operator in coremltools for conversion the following model ops are MISSING: clamp_min im2col
I tried, but there are some operators missing for the conversion. It will not be possible without the help of the official team of CoreMLTools
same problem here. Too high memory consumption, and the memory is not release after processing
That's what I use. It seems that it's only in debug build, not in release. May be an issue with CoreML?
I'm also facing this issue, does a list of PyTorch operators and their CoreML availability exists? including with the priority for adding them to the roadmap.
@manhnguyen92 They've implemented it server side, not on device. And even if you were able to convert it to CoreML you will face the the maximum 2Go used RAM per...
Need this too. A lot of recent models use this operator. I tried to rewrite the computing of the indices directly on the model, but I didn't succeed. I've also...
You won't be able to run it on iOS device because fore 512x512, you will need at least 6Go RAM
Any update please?
Same issue here, and also the same observation