Gradients
The supertype Gradient comprises different ways of taking gradients:
We first start by showing GradientAutodiff:
f(x::AbstractArray) = sum(x .^ 2)
x = rand(3)
grad = GradientAutodiff(f, x)GradientAutodiff{Float64, typeof(Main.f), ForwardDiff.GradientConfig{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}}}}(Main.f, ForwardDiff.GradientConfig{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}}}((Partials(1.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0), Partials(0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}[Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(1.3e-322,1.33e-322,6.9471834029228e-310,6.94718340292436e-310), Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(1.4e-322,1.4e-322,6.94718340292594e-310,6.9471834029275e-310), Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(1.43e-322,1.43e-322,6.9471834029291e-310,6.9471834029307e-310)]))Instead of calling GradientAutodiff(f, x) we can equivalently do:
grad = Gradient(f, x; mode = :autodiff)GradientAutodiff{Float64, typeof(Main.f), ForwardDiff.GradientConfig{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}}}}(Main.f, ForwardDiff.GradientConfig{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3, Vector{ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}}}((Partials(1.0, 0.0, 0.0), Partials(0.0, 1.0, 0.0), Partials(0.0, 0.0, 1.0)), ForwardDiff.Dual{ForwardDiff.Tag{typeof(Main.f), Float64}, Float64, 3}[Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(1.425981173916e-311,1.0253483662039e-310,4.074231921973e-312,1.425981173916e-311), Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(1.0253483662039e-310,4.074231921973e-312,1.425981173916e-311,1.0253483662039e-310), Dual{ForwardDiff.Tag{typeof(Main.f), Float64}}(4.074231921973e-312,1.425981174928e-311,4.0742319196e-312,4.0742319196e-312)]))When calling an instance of Gradient we can use the functions gradient and gradient![1]:
gradient(x, grad)3-element Vector{Float64}:
1.042427591070766
1.1736135149066969
1.7817573961855622- 1Internally these functions call functors that are implemented for the individual
structs derived fromGradient, but for consistency (especially with regards toMultivariateObjectives) we recommend using the functionsgradientandgradient!.