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u0 =reduce(hcat, Array(probs[i].u0) for i in1:length(I))
To generalize this to N dimensions the u0 should concatenate across an additional dimension.
And the kernels should then index over this last dimension, instead of assuming there are only 2:
The documentation says
CuArray
u0
are supported.But only one dimensional arrays are supported because of lines like:
DiffEqGPU.jl/src/DiffEqGPU.jl
Line 345 in 8489a3e
To generalize this to N dimensions the
u0
should concatenate across an additional dimension.And the kernels should then index over this last dimension, instead of assuming there are only 2:
DiffEqGPU.jl/src/DiffEqGPU.jl
Line 24 in 8489a3e
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