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October 1, 2025 13:54
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Sections off all functionality which is fast in
numbabut has proven difficult to translate to JAX efficiently.This is primarily:
The mapping formalism for inversions will next be updated to use JAX FFT convolutions and become the standard pixelization method for JAX. However, this does not exploit sparsity so for CPU hardware is slower than using numba.
After this PR PyAutoLens will therefore offer dual support for JAX and numba, albeit the latter will only be used for lens modeling using pixelizations efficiently on CPU.