SciML / Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
https://docs.sciml.ai/Optimization/stable/
MIT License
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PolyesterForwardDiff not loading #714

Closed kiranshila closed 4 months ago

kiranshila commented 4 months ago

Describe the bug 🐞

Even though it seems to not have documentation here, Optimization.AutoPolyesterForwardDiff() seems to exist, and I would like to use it as I see a 10x speedup over ForwardDiff.

Expected behavior

I expect PolyesterForwardDiff to work as expected.

Minimal Reproducible Example 👇

using Optimization, OptimizationOptimJL, PolyesterForwardDiff
rosenbrock(u, p) = (p[1] - u[1])^2 + p[2] * (u[2] - u[1]^2)^2
u0 = zeros(2)
p = [1.0, 100.0]
optf = OptimizationFunction(rosenbrock, Optimization.AutoPolyesterForwardDiff())
prob = OptimizationProblem(optf, u0, p, lb = [-1.0, -1.0], ub = [1.0, 1.0])

Error & Stacktrace ⚠️

ArgumentError: The passed automatic differentiation backend choice is not available. Please load the corresponding AD package PolyesterForwardDiff.

Environment (please complete the following information):

Status `~/Dropbox/Projects/Julia/WBLNAOptim/Project.toml`
  [6e4b80f9] BenchmarkTools v1.5.0
  [336ed68f] CSV v0.10.13
⌃ [052768ef] CUDA v5.1.2
  [d772a0f9] CircuitNetworks v1.0.0-DEV `https://github.com/kiranshila/CircuitNetworks.jl#main`
  [9f5e2b26] Diffractor v0.2.5
  [7da242da] Enzyme v0.11.17 `https://github.com/EnzymeAD/Enzyme.jl#main`
  [f6369f11] ForwardDiff v0.10.36
  [a98d9a8b] Interpolations v0.15.1
  [eff96d63] Measurements v2.11.0
  [7f7a1694] Optimization v3.23.0
  [4e6fcdb7] OptimizationNLopt v0.2.0
  [36348300] OptimizationOptimJL v0.2.2
  [91a5bcdd] Plots v1.40.1
  [98d1487c] PolyesterForwardDiff v0.1.1
  [37e2e3b7] ReverseDiff v1.15.1
  [90137ffa] StaticArrays v1.9.3
  [bd369af6] Tables v1.11.1
  [bc48ee85] Tullio v0.3.7
  [e88e6eb3] Zygote v0.6.69
  [10745b16] Statistics v1.10.0
Info Packages marked with ⌃ have new versions available and may be upgradable.
Status `~/Dropbox/Projects/Julia/WBLNAOptim/Manifest.toml`
  [47edcb42] ADTypes v0.2.6
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  [429524aa] Optim v1.9.2
  [7f7a1694] Optimization v3.23.0
  [4e6fcdb7] OptimizationNLopt v0.2.0
  [36348300] OptimizationOptimJL v0.2.2
  [bac558e1] OrderedCollections v1.6.3
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  [995b91a9] PlotUtils v1.4.0
  [91a5bcdd] Plots v1.40.1
  [f517fe37] Polyester v0.7.9
  [98d1487c] PolyesterForwardDiff v0.1.1
  [1d0040c9] PolyesterWeave v0.2.1
  [2dfb63ee] PooledArrays v1.4.3
  [85a6dd25] PositiveFactorizations v0.2.4
  [aea7be01] PrecompileTools v1.2.0
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  [ae029012] Requires v1.3.0
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
Julia Version 1.10.2
Commit bd47eca2c8a (2024-03-01 10:14 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 20 × Intel(R) Core(TM) i9-9900X CPU @ 3.50GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, skylake-avx512)
Threads: 1 default, 0 interactive, 1 GC (on 20 virtual cores)
Environment:
  JULIA_DEPOT_PATH = /home/kiran/.local/share/julia:/home/kiran/.local/share/julia:

Additional context

None!

Vaibhavdixit02 commented 4 months ago

Dup of https://github.com/SciML/OptimizationBase.jl/issues/21

kiranshila commented 4 months ago

Is it a dup? The other issue says to add it as an AD backend, I'm saying that technically it seems to exist but doesn't work.

ChrisRackauckas commented 4 months ago

It doesn't exist. It's not documented as existing. It's a valid ADType by ADTypes.jl but it's not something that has been setup with Optimization.jl.