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order of interpolation of multidimensional array of conditionings gives different results #21
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According to GPT4, this isn't the case:
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And here is a potential solution candidate, again from GPT4:
Note that this solution could be more computationally heavy than the current implementation, making our performances worst (#20). We probably want to look for a solution that has at best Ω(log n) performances, and worst case O(n^k). |
This has to be tested. It seems that linear interpolations do not depend on the order in which we treat the axes of the prompt tensor. However, it is unclear to me whether that is still the case for catmull and bezier curves, or any permutation of these.
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