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sethaxen avatar sethaxen commented on June 18, 2024

Not certain if this package wants to support complex AD (with Jacobians as the primitive, complex support is a little awkward), but to me it seems like, if the AD supports complex numbers, then at least for pushforwards, pullbacks, and gradients, it'd be nice if we did too.

from abstractdifferentiation.jl.

mohamed82008 avatar mohamed82008 commented on June 18, 2024

I agree. Even Jacobians can be supported as long as either the inputs or outputs are real.

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sethaxen avatar sethaxen commented on June 18, 2024

That's right, and even with both complex inputs and outputs, it can be supported by interleaving the real and imaginary parts into one real vector, but having the eltype be dependent on the real-ness of input and output starts to feel messy.

from abstractdifferentiation.jl.

mohamed82008 avatar mohamed82008 commented on June 18, 2024

ya complex input and output is messy, let's stick to the simple cases

from abstractdifferentiation.jl.

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