MethodError matching getϵ for AdvancedHMC Adaption

[gjgress]

Minimal working example

using Logging, LoggingExtras
using Turing
using Serialization
using OrdinaryDiffEq, StochasticDiffEq, DiffEqCallbacks
using SciMLBase.EnsembleAnalysis
using ForwardDiff, Preferences
set_preferences!(ForwardDiff, "nansafe_mode" => true)

model = Dict(:params => Dict(:Var1 => 10, :Var2 => 10, :Var3 => 10, :Var4 => 10, :Var5 => 10, :Var6 => 10, :Var7 => 10),
             :boundary => Dict(:Var1 => (8,12), :Var2 => (8,12), :Var3 => (8,12), :Var4 => (8,12), :Var5 => (8,12), :Var6 => (8,12), :Var7 => (8,12)),
             :data => DataFrame(y = [1,2,3]))

@model function fitmodel(data, t, model)#, paramsyms)
                

    # Prior distributions

    σ ~ InverseGamma(2,3)
    Var1 ~ truncated(Normal(model.params[:Var1], model.params[:Var1] * 0.5), model.boundary[:Var1]...)
    Var2 ~ truncated(Normal(model.params[:Var2], model.params[:Var2] * 0.5), model.boundary[:Var2]...)
    Var3 ~ truncated(Normal(model.params[:Var3], model.params[:Var3] * 0.5), model.boundary[:Var3]...)
    Var4 ~ truncated(Normal(model.params[:Var4],model.params[:Var4] * 0.5), model.boundary[:Var4]...)
    Var5 ~ truncated(Normal(model.params[:Var5], model.params[:Var5]*0.5), model.boundary[:Var5]...)
    Var6 ~ truncated(Normal(model.params[:Var6], model.params[:Var6]*0.5), model.boundary[:Var6]...)
    Var7 ~ truncated(Normal(model.params[:Var7], model.params[:Var7] * 0.5), model.boundary[:Var7]...)


    model.params[:Var1] = Var1
    model.params[:Var2] = Var2
    model.params[:Var3] = Var3
    model.params[:Var4] = Var4
    model.params[:Var5] = Var5
    model.params[:Var6] = Var6
    model.params[:Var7] = Var7

    # Simulate model

    ysim = ensemblesimulate(model) # ysim is an EnsembleSolution with multiple trajectories

    # Early exit if any trajectory could not be computed successfully.
    for i in eachindex(ysim)
        if !SciMLBase.successful_retcode(ysim[i])
            Turing.@addlogprob! -Inf
            return nothing
        end
    end

    predicted = [getindex.(componentwise_vectors_timepoint(ysim, t)[i].u, 1) for i in eachindex(ysim)] # Take the ensemble solution, get the interpolated values at all the timepoints of the original dataset with data, then organize the predicted ys into a list of vectors

    # Observations

    for i in eachindex(predicted)
        data ~ MvNormal(predicted[i], σ^2 * I)
    end

end;

mcmcmodel = fitmodel(model.data, 1:3, model)


n_iters = 1000

if !isfile("in-progress-chain.jls")

    chain = sample(mcmcmodel, NUTS(0.25), MCMCThreads(), n_iters, 4; progress = true, save_state = true, initial_params = repeat([[3, # Mean of InverseGamma(2,3)
                                                                                        model.params[:Var1],
                                                                                        model.params[:Var2],
                                                                                        model.params[:Var3],
                                                                                        model.params[:Var4],
                                                                                        model.params[:Var5],
                                                                                        model.params[:Var6],
                                                                                        model.params[:Var7]]], 4))

    serialize("in-progress-chain.jls", chain)

else

    println("In progress chain already exists, resuming previous chain")

    chain = deserialize("in-progress-chain.jls")

end

while length(chain) < 5*n_iters

    println("Chain currently has " * string(length(chain)) * " samples, resuming for another " * string(n_iters) * " samples.")

    last_state = chain.info.samplerstate
    chain_cont = sample(mcmcmodel, NUTS(0, 0.25), MCMCThreads(), n_iters, 4; progress = true, save_state = true, resume_state = chain)
    chain_cont = setrange(chain_cont, range(chain)[end] .+ range(chain))
    chain = vcat(chain, chain_cont) # Concatenate original chain with resumed chain to keep track of # of samples
    serialize("in-progress-chain.jls", chain)

end

serialize("finished-chain.jls", chain)
rm("in-progress-chain.jls")

Description

I'm getting a warning during my sampling with Turing, and I'm not sure if it's an artifact of using Logging/LoggingExtras with Turing, an actual issue with my sampling, or a bug in Turing. It occurs pretty much every sample. I couldn't find any info on it online either. Does anyone have any guidance on where this might be coming from?

Also perhaps worth noting is that the julia instance eventually is killed, due to running out of memory. I'm not sure if that's also because of this or because the message itself is logged so many times.

Full disclosure: the MWE I gave isn't a true MWE, namely I can't invest the time to write a MWE ensemble problem with StochasticDiffEqs, so I just left the blackbox ensemblesimulate() function instead. I don't think this is relevant to the error I'm getting, but I do apologize because it does make it harder to test with the MWE.

┌ Error: [2024-11-29 14:11:11]   Exception while generating log record in module Turing.Inference at /home/[user]/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:246
│   exception =
│    MethodError: no method matching getϵ(::AdvancedHMC.Adaptation.NoAdaptation)
│    The function `getϵ` exists, but no method is defined for this combination of argument types.
│
│    Closest candidates are:
│      getϵ(!Matched::AdvancedHMC.Adaptation.StanHMCAdaptor)
│       @ AdvancedHMC ~/.julia/packages/AdvancedHMC/sH6aj/src/adaptation/stan_adaptor.jl:94
│      getϵ(!Matched::AdvancedHMC.Adaptation.NaiveHMCAdaptor)
│       @ AdvancedHMC ~/.julia/packages/AdvancedHMC/sH6aj/src/adaptation/Adaptation.jl:45
│      getϵ(!Matched::AdvancedHMC.Adaptation.FixedStepSize)
│       @ AdvancedHMC ~/.julia/packages/AdvancedHMC/sH6aj/src/adaptation/stepsize.jl:56
│      ...
│
│    Stacktrace:
│      [1] getstepsize(sampler::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, state::Turing.Inference.HMCState{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}, Turing.Inference.var"#∂logπ∂θ#32"{LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}}, AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, AdvancedHMC.Adaptation.NoAdaptation})
│        @ Turing.Inference ~/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:460
│      [2] macro expansion
│        @ ./logging/logging.jl:384 [inlined]
│      [3] step(rng::Random.Xoshiro, model::DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, state::Turing.Inference.HMCState{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}, Turing.Inference.var"#∂logπ∂θ#32"{LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}}, AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, AdvancedHMC.Adaptation.NoAdaptation}; nadapts::Int64, kwargs::@Kwargs{initial_params::Nothing, save_state::Bool, resume_state::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{varname_to_symbol::OrderedDict{AbstractPPL.VarName, Symbol}, model::DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, samplerstate::Turing.Inference.HMCState{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}, Turing.Inference.var"#∂logπ∂θ#32"{LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}}, AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, AdvancedHMC.Adaptation.StanHMCAdaptor{AdvancedHMC.Adaptation.WelfordVar{Float64, Vector{Float64}}, AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}}, start_time::Vector{Float64}, stop_time::Vector{Float64}}}})
│        @ Turing.Inference ~/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:246
│      [4] macro expansion
│        @ ~/.julia/packages/AbstractMCMC/jSkbw/src/sample.jl:217 [inlined]
│      [5] macro expansion
│        @ ~/.julia/packages/AbstractMCMC/jSkbw/src/logging.jl:16 [inlined]
│      [6] mcmcsample(rng::Random.Xoshiro, model::DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{nadapts::Int64, initial_params::Nothing, save_state::Bool, resume_state::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{varname_to_symbol::OrderedDict{AbstractPPL.VarName, Symbol}, model::DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, samplerstate::Turing.Inference.HMCState{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}, Turing.Inference.var"#∂logπ∂θ#32"{LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}}, AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, AdvancedHMC.Adaptation.StanHMCAdaptor{AdvancedHMC.Adaptation.WelfordVar{Float64, Vector{Float64}}, AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}}, start_time::Vector{Float64}, stop_time::Vector{Float64}}}})
│        @ AbstractMCMC ~/.julia/packages/AbstractMCMC/jSkbw/src/sample.jl:142
│      [7] mcmcsample
│        @ ~/.julia/packages/AbstractMCMC/jSkbw/src/sample.jl:107 [inlined]
│      [8] #sample#30
│        @ ~/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:113 [inlined]
│      [9] sample
│        @ ~/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:82 [inlined]
│     [10] (::AbstractMCMC.var"#35#48"{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, Random.Xoshiro, UnitRange{Int64}, Bool, Nothing, Nothing, @Kwargs{chain_type::UnionAll, save_state::Bool, resume_state::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{varname_to_symbol::OrderedDict{AbstractPPL.VarName, Symbol}, model::DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, samplerstate::Turing.Inference.HMCState{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}, Turing.Inference.var"#∂logπ∂θ#32"{LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{LogDensityFunction{DynamicPPL.TypedVarInfo{@NamedTuple{σ::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:σ, typeof(identity)}, Int64}, Vector{InverseGamma{Float64}}, Vector{AbstractPPL.VarName{:σ, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var1::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var1, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var1, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var2::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var2, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var2, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var3::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var3, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var3, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var4::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var4, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var4, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var5::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var5, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var5, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var6::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var6, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var6, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}, Var7::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:Var7, typeof(identity)}, Int64}, Vector{Truncated{Normal{Float64}, Continuous, Float64, Float64, Float64}}, Vector{AbstractPPL.VarName{:Var7, typeof(identity)}}, Vector{Float64}, Vector{Set{DynamicPPL.Selector}}}}, Float64}, DynamicPPL.Model{[CustomModule].var"#fitmodel#33"{Bool}, (:data, :t, :model), (), (), Tuple{SVector{95, Float64}, Vector{Float64}, model}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{NUTS{AutoForwardDiff{nothing, Nothing}, (), AdvancedHMC.DiagEuclideanMetric}}, DynamicPPL.DefaultContext, Random.Xoshiro}}, ForwardDiff.Chunk{8}, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 8}}}}}}, AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, AdvancedHMC.Adaptation.StanHMCAdaptor{AdvancedHMC.Adaptation.WelfordVar{Float64, Vector{Float64}}, AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}}, start_time::Vector{Float64}, stop_time::Vector{Float64}}}}, Int64, Vector{Any}, Vector{UInt64}})()
│        @ AbstractMCMC ~/.julia/packages/AbstractMCMC/jSkbw/src/sample.jl:463
└ @ Turing.Inference ~/.julia/packages/Turing/bUZEC/src/mcmc/hmc.jl:246

Julia version info

versioninfo()

Julia Version 1.11.1
Commit 8f5b7ca12ad (2024-10-16 10:53 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 16 × AMD Ryzen 7 5700X3D 8-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 16 default, 0 interactive, 8 GC (on 16 virtual cores)
Environment:
  JULIA_EDITOR = code

Manifest

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[penelopeysm]

Hi @gjgress!

The issue is the call to @debug here, although the stack trace seems to have meddled with the line numbers a bit

Turing.jl/src/mcmc/hmc.jl

Lines 250 to 251 in f3b2476

	# Get step size
	@debug "current ϵ" getstepsize(spl, state)

The issue is when you use NUTS(0, 0.25) it gets initialised with an adaptor of AdvancedHMC.Adaptation.NoAdaptation

Turing.jl/src/mcmc/hmc.jl

Lines 540 to 546 in f3b2476

	function AHMCAdaptor(alg::AdaptiveHamiltonian, metric::AHMC.AbstractMetric; ϵ=alg.ϵ)
	pc = AHMC.MassMatrixAdaptor(metric)
	da = AHMC.StepSizeAdaptor(alg.δ, ϵ)
	if iszero(alg.n_adapts)
	adaptor = AHMC.Adaptation.NoAdaptation()
	else

and getstepsize() doesn't work on this. So the MWE is actually just

using Turing

ENV["JULIA_DEBUG"] = "Turing"
@model f() = x ~ Normal()
model = f()
sample(model, NUTS(0, 0.25), 10)

A quick fix for you would be to define this method somewhere in your code:

using Turing
using AdvancedHMC.Adaptation: NoAdaptation

function Turing.Inference.getstepsize(
    sampler::DynamicPPL.Sampler{<:Turing.Inference.AdaptiveHamiltonian},
    state::Turing.Inference.HMCState{TV,TKernel,THam,PhType,NoAdaptation}
) where {TV,TKernel,THam,PhType}
    return state.kernel.τ.integrator.ϵ
end

And on our end the fix would be to include that method so that you don't need to define it, although a fix probably won't land until next week.

[gjgress]

@penelopeysm Ohh, thanks! Good catch. In hindsight I should have noticed the change appearing when I started running sampling with no burn-ins.

I wish I could contribute, but it looks like you all already have things taken care of. Appreciate the quick solution too.

[penelopeysm]

No problem! Your example was already really useful. Thanks for reporting :)

This fix was so small I didn't think to ask about whether you might want to do the PR, sorry 😅 I'll remember next time!