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Currently, users have to guess the tiling size and overlaps during prediction. There is a fine balance to have between GPU memory, prediction speed, UNets' pseudo translation-invariance and receptive field.
When it comes to the UNet, the receptive field should be easy to compute, and the constraints on the tiling and overlaps are mathematically well-defined. GPU memory can be guessed in the system and so it should be easy to automatically compute coherent tile and overlap sizes.
Problem
Currently, users have to guess the tiling size and overlaps during prediction. There is a fine balance to have between GPU memory, prediction speed, UNets' pseudo translation-invariance and receptive field.
When it comes to the UNet, the receptive field should be easy to compute, and the constraints on the tiling and overlaps are mathematically well-defined. GPU memory can be guessed in the system and so it should be easy to automatically compute coherent tile and overlap sizes.
References
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