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by KernelAbstractions.ones
provide function repeat_rowvector_dummy that intoduces NaNs in prameter vectors and does not revers-propagate gradients for those dummies introduce ones_similar_x CUDA overload again because of type instability in KernelAbstractions
and implement different calls in the LUX extension
for debugging NaN gradients
and use create_nsite_applicator to create the ones for n_site. Additionally, adjust docu to use is_testmode=true in calls to calls that eventually invoke the ML model
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