Comments (5)
seems really weird
Can you explain what you think is weird here?
from forwarddiff.jl.
nevermind that line, i got trip up with the !
, but if i understand correctly, NaNMath
is loaded to overload NaNMath.pow
right?
Line 536 in 2263749
from forwarddiff.jl.
NaNMath needs to be loaded before overloading any of its functions. Mostly that's done by the loop above, which runs over these definitions:
from forwarddiff.jl.
is it possible to load those in a extension instead? i suppose that DiffRules
does not load NaNMath
and shouldn't load any extensions
from forwarddiff.jl.
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.
Related Issues (20)
- Rationals and Modulo
- Broken external link
- `construct_seeds` for types where `typeof(one(T)) !=T` is broken HOT 1
- incorrect 2nd derivative of complex exponential HOT 2
- Can you take derivative of complicated function whose symbolic form is not explicit or not known?
- Cancellation with sparse arrays HOT 5
- Implement hessian! for scalar x
- Implement gammalogccdf for ForwardDiff HOT 1
- `ForwardDiff.jacobian` throws error for `fft` HOT 1
- Correctly forming nested dual numbers. HOT 8
- Derivative of a function of derivatives HOT 7
- Symbolics.jl compatibility HOT 1
- Support derivative(f, ::Complex) HOT 1
- `ForwardDiff` fails to compute correct derivative HOT 3
- Incorrect Hessian by `exp` function HOT 1
- Method ambiguities reported by Aqua HOT 3
- Document internals? HOT 1
- Bug (NaNs) when differentiating eigenvectors of Symmetric matrices
- Error requiring `Symbolics` from `Optimization` HOT 1
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from forwarddiff.jl.