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Why not just use adapt here?
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The interpolants we in `Interpolations.jl` are described by two arrays: the knots and the coeffs. When `Adapt` is called on these interpolants, CuArrays are allocated on the GPU. For large data, this is inefficient. In this commit, I add a system to avoid these allocations. This is accomplished by add a dictionary to `InterpolationsRegridder`. This dictionary has keys that identify the size of the knots and coefficients and values the adapted splines. When `regrid` is called, we check if we have already allocated some suitable space in this dictionary, if not, we create a new spline, if we do, we write in place. This removes GPU allocations in the hot path (ie, the regridder is used in a time evolution with always the same data and dimensions), while also keeping the flexibility of reusing the same regridder with any input data.
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Adaptallocates new arrays on the GPU. With this PR, I changeAdaptto be in place.This change is trickier than it seems: there is need to move data from the CPU to the GPU when creating a new spline.