failed to run `@setup` block in src/families.md ```@setup lowrank using ADTypes using AdvancedVI using Distributions using LinearAlgebra using LogDensityProblems using Optimisers using Plots using ReverseDiff struct Target{D} dist::D end function LogDensityProblems.logdensity(model::Target, θ) logpdf(model.dist, θ) end function LogDensityProblems.dimension(model::Target) return length(model.dist) end function LogDensityProblems.capabilities(::Type{<:Target}) return LogDensityProblems.LogDensityOrder{0}() end n_dims = 30 U_true = randn(n_dims, 3) D_true = Diagonal(log.(1 .+ exp.(randn(n_dims)))) Σ_true = D_true + U_true*U_true' Σsqrt_true = sqrt(Σ_true) μ_true = randn(n_dims) model = Target(MvNormal(μ_true, Σ_true)); d = LogDensityProblems.dimension(model); μ = zeros(d); L = Diagonal(ones(d)); q0_mf = MeanFieldGaussian(μ, L) L = LowerTriangular(diagm(ones(d))); q0_fr = FullRankGaussian(μ, L) D = ones(n_dims) U = zeros(n_dims, 3) q0_lr = LowRankGaussian(μ, D, U) obj = RepGradELBO(1); max_iter = 10^4 function callback(; params, averaged_params, restructure, stat, kwargs...) q = restructure(averaged_params) μ, Σ = mean(q), cov(q) (dist2 = sum(abs2, μ - μ_true) + tr(Σ + Σ_true - 2*sqrt(Σsqrt_true*Σ*Σsqrt_true)),) end _, _, stats_fr, _ = AdvancedVI.optimize( model, obj, q0_fr, max_iter; show_progress = false, adtype = AutoReverseDiff(), optimizer = Adam(0.01), averager = PolynomialAveraging(), callback = callback, ); _, _, stats_mf, _ = AdvancedVI.optimize( model, obj, q0_mf, max_iter; show_progress = false, adtype = AutoReverseDiff(), optimizer = Adam(0.01), averager = PolynomialAveraging(), callback = callback, ); _, _, stats_lr, _ = AdvancedVI.optimize( model, obj, q0_lr, max_iter; show_progress = false, adtype = AutoReverseDiff(), optimizer = Adam(0.01), averager = PolynomialAveraging(), callback = callback, ); t = [stat.iteration for stat in stats_fr] dist_fr = [sqrt(stat.dist2) for stat in stats_fr] dist_mf = [sqrt(stat.dist2) for stat in stats_mf] dist_lr = [sqrt(stat.dist2) for stat in stats_lr] plot( t, dist_mf , label="Mean-Field Gaussian", xlabel="Iteration", ylabel="Wasserstein-2 Distance") plot!(t, dist_fr, label="Full-Rank Gaussian", xlabel="Iteration", ylabel="Wasserstein-2 Distance") plot!(t, dist_lr, label="Low-Rank Gaussian", xlabel="Iteration", ylabel="Wasserstein-2 Distance") savefig("lowrank_family_wasserstein.svg") nothing ``` exception = LoadError: ArgumentError: Package ReverseDiff not found in current path. - Run `import Pkg; Pkg.add("ReverseDiff")` to install the ReverseDiff package. Stacktrace: [1] macro expansion @ ./loading.jl:1772 [inlined] [2] macro expansion @ ./lock.jl:267 [inlined] [3] __require(into::Module, mod::Symbol) @ Base ./loading.jl:1753 [4] #invoke_in_world#3 @ ./essentials.jl:926 [inlined] [5] invoke_in_world @ ./essentials.jl:923 [inlined] [6] require(into::Module, mod::Symbol) @ Base ./loading.jl:1746 [7] eval @ ./boot.jl:385 [inlined] [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2076 [9] include_string (repeats 2 times) @ ./loading.jl:2086 [inlined] [10] #67 @ ~/.julia/packages/Documenter/C1XEF/src/expander_pipeline.jl:907 [inlined] [11] cd(f::Documenter.var"#67#68"{Module, MarkdownAST.CodeBlock}, dir::String) @ Base.Filesystem ./file.jl:112 [12] runner(::Type{Documenter.Expanders.SetupBlocks}, node::MarkdownAST.Node{Nothing}, page::Documenter.Page, doc::Documenter.Document) @ Documenter ~/.julia/packages/Documenter/C1XEF/src/expander_pipeline.jl:906 in expression starting at string:8

invalid local link/image: file does not exist in src/families.md link = @ast MarkdownAST.Image("lowrank_family_wasserstein.svg", "") do MarkdownAST.Text("") end

8 docstrings not included in the manual: AdvancedVI.value_and_gradient! :: Tuple{ADTypes.AbstractADType, Any, Any, Any, DiffResults.MutableDiffResult} AdvancedVI.ClosedFormEntropy AdvancedVI.value :: Tuple{AdvancedVI.AbstractAverager, Any} AdvancedVI.estimate_entropy AdvancedVI.restructure_ad_forward :: Tuple{ADTypes.AbstractADType, Any, Any} AdvancedVI.apply :: Tuple{AdvancedVI.AbstractAverager, Any, Any} AdvancedVI.update_variational_params! AdvancedVI.ScoreGradELBO These are docstrings in the checked modules (configured with the modules keyword) that are not included in canonical @docs or @autodocs blocks.

no footnotes found for 'IHC2023' in src/optimization.md.

no footnotes found for 'KMJ2024' in src/optimization.md.

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