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mcabbott avatar mcabbott commented on June 12, 2024

seems really weird

Can you explain what you think is weird here?

from forwarddiff.jl.

longemen3000 avatar longemen3000 commented on June 12, 2024

nevermind that line, i got trip up with the !, but if i understand correctly, NaNMath is loaded to overload NaNMath.pow right?

for f in (:(Base.:^), :(NaNMath.pow))

from forwarddiff.jl.

mcabbott avatar mcabbott commented on June 12, 2024

NaNMath needs to be loaded before overloading any of its functions. Mostly that's done by the loop above, which runs over these definitions:

https://github.com/JuliaDiff/DiffRules.jl/blob/2001650a4a009d2136f89496f2d22fe7fb04dfbd/src/rules.jl#L251-L280

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longemen3000 avatar longemen3000 commented on June 12, 2024

is it possible to load those in a extension instead? i suppose that DiffRules does not load NaNMath and shouldn't load any extensions

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mcabbott avatar mcabbott commented on June 12, 2024

I think this could be done. But what would be gained? The time saved would be small compared to StaticArrays:

julia> @time_imports using ForwardDiff
      5.5 ms  IrrationalConstants
      0.7 ms  DiffRules
      0.7 ms  StaticArraysCore
      0.7 ms  DiffResults
               ┌ 1.4 ms OpenLibm_jll.__init__() 
     18.3 ms  OpenLibm_jll 90.51% compilation time
      0.3 ms  NaNMath
               ┌ 0.0 ms DocStringExtensions.__init__() 
      0.8 ms  DocStringExtensions
      0.3 ms  LogExpFunctions
      0.2 ms  JLLWrappers
               ┌ 2.3 ms OpenSpecFun_jll.__init__() 86.08% compilation time
      2.7 ms  OpenSpecFun_jll 72.07% compilation time
      5.6 ms  SpecialFunctions
      5.5 ms  MacroTools
      0.3 ms  CommonSubexpressions
     19.6 ms  ForwardDiff

julia> @time_imports using StaticArrays
    171.0 ms  StaticArrays
      0.5 ms  ForwardDiff → ForwardDiffStaticArraysExt

from forwarddiff.jl.

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