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DI extensions
f(x)
invalue_and_gradient
andvalue_and_hessian
, to compensate for DiffResults objects are not re-aliased properly ReverseDiff.jl#251DI tests
SecondOrder(AutoForwardDiff(), AutoReverseDiff())
AutoReverseDiff()
Caution
Without the extension modification, the new tests fail on the primal value
y = f(x)
when it comes fromvalue_and_gradient!(f, ::AutoReverseDiff, x)
. My best guess for the culprit is the bad use of DiffResults inside ReverseDiff (JuliaDiff/ReverseDiff.jl#251). Funnily enough, the tests succeed if I add aprintln
statement in said function, which is very disturbing (see Discourse on the side effects ofprintln
).