Type FPFunctionalCache has no field caches error

Farnazmdi · August 16, 2019, 12:34am

Hi,
I am using BlackBoxOptim and I get this error when I run it.

Starting optimization with optimizer DiffEvoOpt{FitPopulation{Float64},RadiusLimitedSelector,BlackBoxOptim.AdaptiveDiffEvoRandBin{3},RandomBound{ContinuousRectSearchSpace}}
0.00 secs, 0 evals, 0 steps
type FPFunctionalCache has no field caches

Stacktrace:
 [1] getproperty(::Any, ::Symbol) at ./sysimg.jl:18
 [2] fpsolve!(::DelayDiffEq.DDEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},true,Array{Float64,1},Float64,Array{Float64,1},Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},DDEProblem{Array{Float64,1},Tuple{Float64,Float64},Array{Float64,1},Tuple{},true,Array{Float64,1},DDEFunction{true,typeof(DDEmodel),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(h),Nothing},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},OrdinaryDiffEq.CompositeInterpolationData{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),DelayDiffEq.HistoryFunction{typeof(h),DelayDiffEq.HistoryODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},true,Array{Float64,1},Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Nothing,DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},OrdinaryDiffEq.CompositeInterpolationData{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23ConstantCache{Float64,typeof(identity),typeof(identity)},DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},DefaultLinSolve,ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2,Tuple{Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2},1},Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2},1}}},ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},Float64},Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},Float64},Float64,1},1}}}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}}}},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23ConstantCache{Float64,typeof(identity),typeof(identity)},DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},DefaultLinSolve,ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2,Tuple{Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2},1},Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.UJacobianWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,Array{Float64,1}},Float64},Float64,2},1}}},ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},Float64},Array{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},Array{Float64,1}},Float64},Float64,1},1}}}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}}}},LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23ConstantCache{Float64,typeof(identity),typeof(identity)},DiffEqDiffTools.TimeGradientWrapper{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),DelayDiffEq.HistoryFunction{typeof(h),DelayDiffEq.HistoryODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},true,Array{Float64,1},Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,Array{Float64,1},DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Nothing,DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,true,DefaultLinSolve,DataType},Rational{Int64},Float64}},OrdinaryDiffEq.CompositeInterpolationData{DelayDiffEq.ODEFunctionWrapper{true,typeof(DDEmodel),typeof(h),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiff

Does anyone have any idea what I’m doing wrong? I would really appreciate it.

odow · August 16, 2019, 1:25pm

Please read Please read: make it easier to help you and post a minimal example that demonstrates the error. Thanks!

Farnazmdi · August 16, 2019, 4:35pm

You are right, sorry.

function Model()
...
end
prob = DDEProblem()
alg = MethodOfSteps(AutoTsit5(Rosenbrock23()))
obj = build_loss_objective(prob, alg,...)
bboptimize(obj)

Here I changed the alg from AutoTsit5(Rosenbrock23()) to Vern6() and it worked.

kristoffer.carlsson · August 16, 2019, 4:58pm

I tried run your code but I only got as far as

julia> function Model()
       ...
       end
ERROR: syntax: invalid identifier name "..."

Farnazmdi · August 16, 2019, 5:03pm

@kristoffer.carlsson My problem was solved, I wrote just the structure of it here, I know it wouldn’t run.
When I changed the alg as I said above, I didn’t get the error anymore.
Thank you,

odow · August 16, 2019, 6:42pm

We should be able to run a minimum working example by copy-and-pasting it into the REPL.

We’re looking for something like

using Optim
function foo(x)
    return sum(x.^2)
end
optimize!(foo, [1.0])

instead of

using Optim
function foo(x)
    ... my model goes here ...
end
optimize!(foo, [1.0])