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lakshaya17 opened this issue Jan 25, 2024 · 13 comments
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Issue in running OptimizationFunction #686

lakshaya17 opened this issue Jan 25, 2024 · 13 comments
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@lakshaya17
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I am trying to run the example in the README, but I am getting the following error:

MethodError: no method matching (OptimizationFunction{true})(::typeof(rosenbrock), ::AutoForwardDiff{nothing, Nothing})

Some of the types have been truncated in the stacktrace for improved reading. To emit complete information
in the stack trace, evaluate `TruncatedStacktraces.VERBOSE[] = true` and re-run the code.

Closest candidates are:
  (OptimizationFunction{iip})(::Any) where iip at C:\Users\lakshay\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3907
  (OptimizationFunction{iip})(::Any, ::SciMLBase.AbstractADType; grad, hess, hv, cons, cons_j, cons_h, lag_h, hess_prototype, cons_jac_prototype, cons_hess_prototype, lag_hess_prototype, syms, paramsyms, observed, hess_colorvec, cons_jac_colorvec, cons_hess_colorvec, lag_hess_colorvec, expr, cons_expr, sys) where iip at C:\Users\lakshay\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3907

Stacktrace:
 [1] OptimizationFunction(::Function, ::Vararg{Any}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
   @ SciMLBase C:\Users\lakshay\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3905
 [2] OptimizationFunction(::Function, ::Vararg{Any})
   @ SciMLBase C:\Users\lakshay\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3905
 [3] top-level scope
   @ In[15]:2

Particularly I am running this code:

using ForwardDiff
f = OptimizationFunction(rosenbrock, Optimization.AutoForwardDiff())
prob = OptimizationProblem(f, x0, p)
sol = solve(prob, BFGS())

I would be obliged if someone could help me with the same.

Regards
@lakshaya17 lakshaya17 added the bug Something isn't working label Jan 25, 2024
@lakshaya17 lakshaya17 changed the title Issue in running OptimizationProblem Issue in running OptimizationFunction Jan 25, 2024
@SebastianM-C
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I ran the code with recent versions of the packages and it works for me?
What does ]st -m Optimization SciMLBase show for you.

@lakshaya17
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⌅ [7f7a1694] Optimization v3.19.3
⌅ [0bca4576] SciMLBase v1.89.0

@SebastianM-C
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SebastianM-C commented Jan 26, 2024 •
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Oh, you have am old SciMLBase (pre v2). @ChrisRackauckas I think that

Optimization.jl/Project.toml

Line 53 in 5cb65c8

SciMLBase = "1.79.0, 2"
is not really correct and it should drop the 2 require 2, I tried

Edit: v2 should be required, not dropped, sorry for the confusion.

(jl_8TnPqU) pkg> st
Status `C:\Users\sebastian\AppData\Local\Temp\jl_8TnPqU\Project.toml`
  [f6369f11] ForwardDiff v0.10.36
⌃ [7f7a1694] Optimization v3.19.3
⌃ [0bca4576] SciMLBase v1.89.0
Info Packages marked with ⌃ have new versions available and may be upgradable.

and I can reproduce the error mentioned above:

julia> f = OptimizationFunction(rosenbrock, Optimization.AutoForwardDiff())
ERROR: MethodError: no method matching (OptimizationFunction{true})(::typeof(rosenbrock), ::AutoForwardDiff{nothing, Nothing})

Closest candidates are:
  (OptimizationFunction{iip})(::Any; ...) where iip
   @ SciMLBase C:\Users\sebastian\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3907
  (OptimizationFunction{iip})(::Any, ::SciMLBase.AbstractADType; grad, hess, hv, cons, cons_j, cons_h, lag_h, hess_prototype, cons_jac_prototype, cons_hess_prototype, lag_hess_prototype, syms, paramsyms, observed, hess_colorvec, cons_jac_colorvec, cons_hess_colorvec, lag_hess_colorvec, expr, cons_expr, sys) where iip
   @ SciMLBase C:\Users\sebastian\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3907

Stacktrace:
 [1] OptimizationFunction(::Function, ::Vararg{Any}; kwargs::@Kwargs{})
   @ SciMLBase C:\Users\sebastian\.julia\packages\SciMLBase\zXEYU\src\scimlfunctions.jl:3905
 [2] top-level scope
   @ REPL[15]:1

@lakshaya17 You can see what packages are holding back SciMLBase with ]st -m --outdated SciMLBase.

@ChrisRackauckas
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Yes, that should get bumped to require v2. In fact, we need the full downgrade CI here.

@Vaibhavdixit02
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There is downgrade CI here already.

Tbh I don't get the issue here, how did you end up with those versions @lakshaya17?

is not really correct and it should drop the 2, I tried
(jl_8TnPqU) pkg> st
Status C:\Users\sebastian\AppData\Local\Temp\jl_8TnPqU\Project.toml
[f6369f11] ForwardDiff v0.10.36
⌃ [7f7a1694] Optimization v3.19.3
⌃ [0bca4576] SciMLBase v1.89.0
Info Packages marked with ⌃ have new versions available and may be upgradable.
and I can reproduce the error mentioned above:

I am probably misunderstanding but doesn't this mean that v2 should be there and should have been used but somehow the OP ended up with <v2 and that led to the error?

@lakshaya17
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I tried that and updated the Julia version as well. Still no luck. I checked the outdated packages, and they showing me this:

(@v1.10) pkg> status --outdated
Status `C:\Users\lakshay\.julia\environments\v1.10\Project.toml`
⌅ [764a87c0] BoundaryValueDiffEq v4.0.1 (<v5.6.1): DifferentialEquations
⌃ [a6e380b2] ControlSystems v1.10.0 (<v1.10.1)
⌃ [0c46a032] DifferentialEquations v7.10.0 (<v7.12.0)
⌅ [76087f3c] NLopt v0.6.5 (<v1.0.1): OptimizationNLopt
⌃ [7f7a1694] Optimization v3.19.3 (<v3.21.2)
⌃ [fd9f6733] OptimizationMOI v0.1.16 (<v0.3.4)
⌃ [4e6fcdb7] OptimizationNLopt v0.1.8 (<v0.2.0)
⌃ [1dea7af3] OrdinaryDiffEq v6.58.2 (<v6.69.0)
⌅ [0bca4576] SciMLBase v1.98.1 (<v2.21.0): BoundaryValueDiffEq, DiffEqBase, Integrals, ModelingToolkit, StochasticDiffEq
⌃ [1ed8b502] SciMLSensitivity v7.51.0 (<v7.53.0)

With the command:

st -m --outdated SciMLBase

Its giving me this:

[0bca4576] SciMLBase v1.98.1 (<v2.21.0): BoundaryValueDiff 8000 Eq, DiffEqBase, Integrals, ModelingToolkit, StochasticDiffEq

When I am trying to update these, they are either giving me compatibility issues.

@Vaibhavdixit02
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Does just ]up give you compatibility issues?

@lakshaya17
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No. I just ran this:

(@v1.10) pkg> up
    Updating registry at `C:\Users\lakshay\.julia\registries\General.toml`
  No Changes to `C:\Users\lakshay\.julia\environments\v1.10\Project.toml`
  No Changes to `C:\Users\lakshay\.julia\environments\v1.10\Manifest.toml`

@Vaibhavdixit02
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You should restart the julia session and try this

@lakshaya17
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@Vaibhavdixit02 I ran that after restarting Julia session only.

@SebastianM-C
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doesn't this mean that v2 should be there and should have been used but somehow the OP ended up with <v2 and that led to the error?

@Vaibhavdixit02 yeah, it should require v2 and OP somehow ended up with <v2, sorry for the confusion.

@lakshaya17 what do you get if you try to explicitly ]add SciMLBase@v2?

@lakshaya17
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@SebastianM-C I am getting this:

(@v1.10) pkg> add SciMLBase@v2
   Resolving package versions...
ERROR: Unsatisfiable requirements detected for package Integrals [de52edbc]:
 Integrals [de52edbc] log:
 ├─possible versions are: 3.0.0-4.1.0 or uninstalled
 ├─restricted to versions 3.1.0-3 by SciMLExpectations [afe9f18d], leaving only versions: 3.1.0-3.9.0
 │ └─SciMLExpectations [afe9f18d] log:
 │   ├─possible versions are: 2.1.0 or uninstalled
 │   └─SciMLExpectations [afe9f18d] is fixed to version 2.1.0
 └─restricted by compatibility requirements with SciMLBase [0bca4576] to versions: 4.0.0-4.1.0 or uninstalled — no versions left

@SebastianM-C
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It looks like SciMLExpectations is holding back Integrals to a version pre SciMLBase@v2. If you don't need SciMLExpectations in this environment, removing it and updating should hopefully resolve the issue.

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@ChrisRackauckas @Vaibhavdixit02 @SebastianM-C @lakshaya17
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