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error trace for Julia discourse
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error trace
ERROR: LoadError: MethodError: ReverseDiff.TrackedReal{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}(::ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}) is ambiguous. Candidates:
(T::Type{<:Real})(x::ForwardDiff.Dual) in Tracker at /afs/inf.ed.ac.uk/user/s17/s1788788/.julia/packages/Tracker/9xWLl/src/lib/real.jl:110
ReverseDiff.TrackedReal{V, D, O}(value) where {V, D, O} in ReverseDiff at /afs/inf.ed.ac.uk/user/s17/s1788788/.julia/packages/ReverseDiff/Y5qec/src/tracked.jl:56
Possible fix, define
ReverseDiff.TrackedReal{V, D, O}(::ForwardDiff.Dual) where {V, D, O}
Stacktrace:
[1] zero(#unused#::Type{ReverseDiff.TrackedReal{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}})
@ ReverseDiff ~/.julia/packages/ReverseDiff/Y5qec/src/tracked.jl:417
[2] _reducedim_init(f::typeof(identity), op::typeof(Base.add_sum), fv::typeof(zero), fop::typeof(sum), A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, region::Int64)
@ Base ./reducedim.jl:117
[3] reducedim_init(f::Function, op::typeof(Base.add_sum), A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, region::Int64)
@ Base ./reducedim.jl:109
[4] _mapreduce_dim(f::Function, op::Function, #unused#::Base._InitialValue, A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, dims::Int64)
@ Base ./reducedim.jl:336
[5] #mapreduce#725
@ ./reducedim.jl:322 [inlined]
[6] #_sum#755
@ ./reducedim.jl:916 [inlined]
[7] _sum(f::Function, A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, dims::Int64)
@ Base ./reducedim.jl:916
[8] _sum(A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, dims::Int64; kw::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Base ./reducedim.jl:915
[9] _sum(A::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 2, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Matrix{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, dims::Int64)
@ Base ./reducedim.jl:915
[10] #sum#732
@ ./reducedim.jl:889 [inlined]
[11] (::var"#3#4")(du::Vector{ReverseDiff.TrackedReal{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}}, u::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, p::ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, t::ReverseDiff.TrackedReal{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}, I::var"#8#12"{Vector{Vector{Float64}}}, net::Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, L::Float64, SIZE_R::Tuple{Int64, Int64})
@ Main /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/codebase.jl:575
[12] (::var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}})(du::Vector{ReverseDiff.TrackedReal{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}}, u::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, p::ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, t::ReverseDiff.TrackedReal{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}})
@ Main /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/sciml_model_training.jl:93
[13] ODEFunction
@ ~/.julia/packages/SciMLBase/BoNUy/src/scimlfunctions.jl:345 [inlined]
[14] (::DiffEqSensitivity.var"#46#50"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}})(u::ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, p::ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, t::ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}})
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/derivative_wrappers.jl:371
[15] ReverseDiff.GradientTape(f::Function, input::Tuple{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Float64}}, cfg::ReverseDiff.GradientConfig{Tuple{ReverseDiff.TrackedArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}, ReverseDiff.TrackedArray{Float64, ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{Float64}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}}}})
@ ReverseDiff ~/.julia/packages/ReverseDiff/Y5qec/src/api/tape.jl:207
[16] GradientTape
@ ~/.julia/packages/ReverseDiff/Y5qec/src/api/tape.jl:204 [inlined]
[17] _vecjacobian!(dλ::SubArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Tuple{UnitRange{Int64}}, true}, y::Vector{Float64}, λ::SubArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Tuple{UnitRange{Int64}}, true}, p::Vector{Float64}, t::Float64, S::DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, isautojacvec::DiffEqSensitivity.ReverseDiffVJP{false}, dgrad::SubArray{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Tuple{UnitRange{Int64}}, true}, dy::Nothing, W::Nothing)
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/derivative_wrappers.jl:369
[18] #vecjacobian!#37
@ ~/.julia/packages/DiffEqSensitivity/rZfxN/src/derivative_wrappers.jl:224 [inlined]
[19] (::DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}})(du::Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, u::Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, p::Vector{Float64}, t::Float64)
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/interpolating_adjoint.jl:116
[20] ODEFunction
@ ~/.julia/packages/SciMLBase/BoNUy/src/scimlfunctions.jl:345 [inlined]
[21] UJacobianWrapper
@ ~/.julia/packages/SciMLBase/BoNUy/src/function_wrappers.jl:15 [inlined]
[22] forwarddiff_color_jacobian!(J::Matrix{Float64}, f::SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, x::Vector{Float64}, jac_cache::SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing})
@ SparseDiffTools ~/.julia/packages/SparseDiffTools/Sojoe/src/differentiation/compute_jacobian_ad.jl:335
[23] jacobian!
@ ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/derivative_wrappers.jl:105 [inlined]
[24] calc_J!
@ ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/derivative_utils.jl:158 [inlined]
[25] calc_W!(W::Matrix{Float64}, integrator::OrdinaryDiffEq.ODEIntegrator{OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, true, Vector{Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, 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LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}, OrdinaryDiffEq.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEq.PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Vector{Float64}, Vector{Float64}, Tuple{}}, Vector{Float64}, Float64, Nothing, OrdinaryDiffEq.DefaultInit}, nlsolver::OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}, cache::OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}, dtgamma::Float64, repeat_step::Bool, W_transform::Bool)
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/derivative_utils.jl:566
[26] update_W!
@ ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/derivative_utils.jl:653 [inlined]
[27] nlsolve!(nlsolver::OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}, integrator::OrdinaryDiffEq.ODEIntegrator{OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, true, Vector{Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, 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LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), 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Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, 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DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, 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Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, 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Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}, repeat_step::Bool)
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/nlsolve/nlsolve.jl:21
[28] perform_step!(integrator::OrdinaryDiffEq.ODEIntegrator{OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, true, Vector{Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, 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Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Vector{Float64}, Vector{Float64}, Tuple{}}, Vector{Float64}, Float64, Nothing, OrdinaryDiffEq.DefaultInit}, cache::OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}, repeat_step::Bool)
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/perform_step/sdirk_perform_step.jl:464
[29] perform_step!
@ ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/perform_step/sdirk_perform_step.jl:441 [inlined]
[30] solve!(integrator::OrdinaryDiffEq.ODEIntegrator{OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, true, Vector{Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), 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var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}, OrdinaryDiffEq.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEq.PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Vector{Float64}, Vector{Float64}, Tuple{}}, Vector{Float64}, Float64, Nothing, OrdinaryDiffEq.DefaultInit})
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/solve.jl:478
[31] __solve(::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}}}}, SciMLBase.StandardODEProblem}, ::OrdinaryDiffEq.TRBDF2{12, true, LinearSolve.LUFactorization{LinearAlgebra.RowMaximum}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}; kwargs::Base.Pairs{Symbol, Any, NTuple{7, Symbol}, NamedTuple{(:callback, :save_everystep, :save_start, :saveat, :tstops, :abstol, :reltol), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Bool, Bool, Vector{Float64}, Vector{Float64}, Float64, Float64}}})
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/B4QPf/src/solve.jl:5
[32] #solve_call#37
@ ~/.julia/packages/DiffEqBase/L3EZU/src/solve.jl:61 [inlined]
[33] solve_up(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, DiffEqSensitivity.ODEInterpolatingAdjointSensitivityFunction{DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, Nothing, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{SciMLBase.CallbackSet{Tuple{}, Tuple{SciMLBase.DiscreteCallback{DiffEqCallbacks.var"#60#63"{Vector{Float64}}, DiffEqCallbacks.var"#61#64"{DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, DiffEqCallbacks.var"#62#65"{typeof(SciMLBase.INITIALIZE_DEFAULT), Bool, Vector{Float64}, DiffEqSensitivity.ReverseLossCallback{Vector{Float64}, Vector{Float64}, Vector{Float64}, Base.RefValue{Int64}, LinearAlgebra.UniformScaling{Bool}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, DiffEqSensitivity.AdjointDiffCache{Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, ReverseDiff.GradientTape{DiffEqSensitivity.var"#118#133"{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}}, Tuple{ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}, Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{Float64, Float64, 1, Vector{Float64}, Vector{Float64}}}}}, Nothing, Nothing, Vector{Float64}, Nothing, Base.OneTo{Int64}, UnitRange{Int64}, LinearAlgebra.UniformScaling{Bool}}}}, typeof(SciMLBase.FINALIZE_DEFAULT)}}}}}}, SciMLBase.StandardODEProblem}, sensealg::Nothing, u0::Vector{Float64}, p::Vector{Float64}, args::OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}; kwargs::Base.Pairs{Symbol, Any, NTuple{6, Symbol}, NamedTuple{(:save_everystep, :save_start, :saveat, :tstops, :abstol, :reltol), Tuple{Bool, Bool, Vector{Float64}, Vector{Float64}, Float64, Float64}}})
@ DiffEqBase ~/.julia/packages/DiffEqBase/L3EZU/src/solve.jl:87
[34] #solve#38
@ ~/.julia/packages/DiffEqBase/L3EZU/src/solve.jl:73 [inlined]
[35] _adjoint_sensitivities(sol::SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, sensealg::DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, alg::OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, g::DiffEqSensitivity.var"#df#251"{Matrix{Float64}, Colon}, t::Vector{Float64}, dg::Nothing; abstol::Float64, reltol::Float64, checkpoints::Vector{Float64}, corfunc_analytical::Nothing, callback::Nothing, kwargs::Base.Pairs{Symbol, Vector{Float64}, Tuple{Symbol}, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}})
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/sensitivity_interface.jl:36
[36] adjoint_sensitivities(::SciMLBase.ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEq.TRBDF2{11, true, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, OrdinaryDiffEq.InterpolationData{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.TRBDF2Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.TRBDF2Tableau{Float64, Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.ODEFunction{true, var"#_partial_model#11"{Flux.var"#64#66"{Flux.Chain{Tuple{Flux.Dense{typeof(tanh), Matrix{Float32}, Vector{Float32}}, Flux.Dense{typeof(identity), Matrix{Float32}, Vector{Float32}}}}}, Vector{Vector{Float64}}, Float64, Tuple{Int64, Int64}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 11}}, Vector{Float64}, Vector{Vector{NTuple{11, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, LinearSolve.GenericFactorization{LinearSolve.RFWrapper{true, true}}, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}}}, DiffEqBase.DEStats}, ::OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, ::Vararg{Any}; sensealg::DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, kwargs::Base.Pairs{Symbol, Union{Nothing, Vector{Float64}}, Tuple{Symbol, Symbol}, NamedTuple{(:callback, :tstops), Tuple{Nothing, Vector{Float64}}}})
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/sensitivity_interface.jl:6
[37] (::DiffEqSensitivity.var"#adjoint_sensitivity_backpass#250"{Base.Pairs{Symbol, Vector{Float64}, Tuple{Symbol}, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}}, OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, Vector{Float64}, Tuple{}, Colon, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}})(Δ::Matrix{Float64})
@ DiffEqSensitivity ~/.julia/packages/DiffEqSensitivity/rZfxN/src/concrete_solve.jl:249
[38] ZBack
@ ~/.julia/packages/Zygote/FPUm3/src/compiler/chainrules.jl:204 [inlined]
[39] (::Zygote.var"#kw_zpullback#42"{DiffEqSensitivity.var"#adjoint_sensitivity_backpass#250"{Base.Pairs{Symbol, Vector{Float64}, Tuple{Symbol}, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}}, OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, Vector{Float64}, Tuple{}, Colon, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}}})(dy::Matrix{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/chainrules.jl:230
[40] #213
@ ~/.julia/packages/Zygote/FPUm3/src/lib/lib.jl:203 [inlined]
[41] (::Zygote.var"#1752#back#215"{Zygote.var"#213#214"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, Zygote.var"#kw_zpullback#42"{DiffEqSensitivity.var"#adjoint_sensitivity_backpass#250"{Base.Pairs{Symbol, Vector{Float64}, Tuple{Symbol}, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}}, OrdinaryDiffEq.TRBDF2{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:forward}, true, nothing}, DiffEqSensitivity.InterpolatingAdjoint{0, true, Val{:central}, DiffEqSensitivity.ReverseDiffVJP{false}, Bool}, Vector{Float64}, Vector{Float64}, Tuple{}, Colon, NamedTuple{(:tstops,), Tuple{Vector{Float64}}}}}}})(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/ZygoteRules/AIbCs/src/adjoint.jl:67
[42] Pullback
@ ~/.julia/packages/DiffEqBase/L3EZU/src/solve.jl:73 [inlined]
[43] (::typeof(∂(#solve#38)))(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[44] (::Zygote.var"#213#214"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, typeof(∂(#solve#38))})(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/lib/lib.jl:203
[45] (::Zygote.var"#1752#back#215"{Zygote.var"#213#214"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, typeof(∂(#solve#38))}})(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/ZygoteRules/AIbCs/src/adjoint.jl:67
[46] Pullback
@ ~/.julia/packages/DiffEqBase/L3EZU/src/solve.jl:68 [inlined]
[47] (::typeof(∂(solve##kw)))(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[48] Pullback
@ /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/sciml_model_training.jl:95 [inlined]
[49] (::typeof(∂(predict_n_ode)))(Δ::Matrix{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[50] Pullback
@ /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/sciml_model_training.jl:110 [inlined]
[51] (::typeof(∂(loss_n_ode)))(Δ::Tuple{Float64, Nothing})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[52] Pullback
@ /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/sciml_model_training.jl:206 [inlined]
[53] (::typeof(∂(training_loss)))(Δ::Tuple{Float64, Nothing})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[54] Pullback
@ ~/.julia/packages/DiffEqFlux/w4Zm0/src/train.jl:86 [inlined]
[55] #213
@ ~/.julia/packages/Zygote/FPUm3/src/lib/lib.jl:203 [inlined]
[56] #1752#back
@ ~/.julia/packages/ZygoteRules/AIbCs/src/adjoint.jl:67 [inlined]
[57] Pullback
@ ~/.julia/packages/SciMLBase/BoNUy/src/problems/basic_problems.jl:109 [inlined]
[58] #213
@ ~/.julia/packages/Zygote/FPUm3/src/lib/lib.jl:203 [inlined]
[59] #1752#back
@ ~/.julia/packages/ZygoteRules/AIbCs/src/adjoint.jl:67 [inlined]
[60] Pullback
@ ~/.julia/packages/GalacticOptim/1ht5p/src/function/zygote.jl:6 [inlined]
[61] (::typeof(∂(#267)))(Δ::Float64)
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[62] #213
@ ~/.julia/packages/Zygote/FPUm3/src/lib/lib.jl:203 [inlined]
[63] #1752#back
@ ~/.julia/packages/ZygoteRules/AIbCs/src/adjoint.jl:67 [inlined]
[64] Pullback
@ ~/.julia/packages/GalacticOptim/1ht5p/src/function/zygote.jl:8 [inlined]
[65] (::typeof(∂(#270)))(Δ::Float64)
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface2.jl:0
[66] (::Zygote.var"#57#58"{typeof(∂(#270))})(Δ::Float64)
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface.jl:41
[67] gradient(f::Function, args::Vector{Float64})
@ Zygote ~/.julia/packages/Zygote/FPUm3/src/compiler/interface.jl:76
[68] WARNING: both Flux and Iterators export "flatten"; uses of it in module DiffEqFlux must be qualified
WARNING: both Flux and Distributions export "params"; uses of it in module DiffEqFlux must be qualified
(::GalacticOptim.var"#268#278"{GalacticOptim.var"#267#277"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoZygote, DiffEqFlux.var"#84#89"{typeof(training_loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}})(::Vector{Float64}, ::Vector{Float64})
@ GalacticOptim ~/.julia/packages/GalacticOptim/1ht5p/src/function/zygote.jl:8
[69] macro expansion
@ ~/.julia/packages/GalacticOptim/1ht5p/src/solve/flux.jl:27 [inlined]
[70] macro expansion
@ ~/.julia/packages/GalacticOptim/1ht5p/src/utils.jl:35 [inlined]
[71] __solve(prob::SciMLBase.OptimizationProblem{false, SciMLBase.OptimizationFunction{false, GalacticOptim.AutoZygote, SciMLBase.OptimizationFunction{true, GalacticOptim.AutoZygote, DiffEqFlux.var"#84#89"{typeof(training_loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, GalacticOptim.var"#268#278"{GalacticOptim.var"#267#277"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoZygote, DiffEqFlux.var"#84#89"{typeof(training_loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#271#281"{GalacticOptim.var"#267#277"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoZygote, DiffEqFlux.var"#84#89"{typeof(training_loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#276#286", Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.NullParameters, Vector{Float64}, Nothing, Nothing, Nothing, Base.Pairs{Symbol, typeof(callback), Tuple{Symbol}, NamedTuple{(:cb,), Tuple{typeof(callback)}}}}, opt::Flux.Optimise.ADAM, data::Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}; maxiters::Int64, cb::Function, progress::Bool, save_best::Bool, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ GalacticOptim ~/.julia/packages/GalacticOptim/1ht5p/src/solve/flux.jl:25
[72] #solve#480
@ ~/.julia/packages/SciMLBase/BoNUy/src/solve.jl:3 [inlined]
[73] sciml_train(::typeof(training_loss), ::Vector{Float64}, ::Flux.Optimise.ADAM, ::Nothing; lower_bounds::Vector{Float64}, upper_bounds::Vector{Float64}, maxiters::Int64, kwargs::Base.Pairs{Symbol, typeof(callback), Tuple{Symbol}, NamedTuple{(:cb,), Tuple{typeof(callback)}}})
@ DiffEqFlux ~/.julia/packages/DiffEqFlux/w4Zm0/src/train.jl:91
in expression starting at /disk/scratch/s1788788/NODE_work/CaMKII_system_v10/sciml_model_training.jl:220
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