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Changing parameter component array in callback fails for ReverseDiffVJP() #1073

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m-bossart opened this issue Jul 3, 2024 · 1 comment
Open

Changing parameter component array in callback fails for ReverseDiffVJP() #1073

m-bossart opened this issue Jul 3, 2024 · 1 comment
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@m-bossart
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Describe the bug 🐞

I'm trying to implement a discrete callback which changes the value of a parameter. I'm using ComponentArrays for the parameters as my application is for large systems with complicated parameter handling. Indexing into the component array by symbol inside the callback fails when using the ReverseDiffVJP() option during sensitivity analysis.

Expected behavior

I expect to be able to index and modify the componentarray parameters using symbol indexing.

Minimal Reproducible Example 👇
The MWE shows a version that works which is derived from an example in the tests. In the lower version, the callback attempts to modify p using the symbol :a instead of the numerical index. This causes a failure during sensitivity analysis.

using OrdinaryDiffEq, Zygote
using SciMLSensitivity, Test, ForwardDiff

#Version from the test (works)
function fiip(du, u, p, t)
    du[1] = dx = p[1] * u[1] - p[2] * u[1] * u[2]
    du[2] = dy = -p[3] * u[2] + p[4] * u[1] * u[2]
end

p = [1.5, 1.0, 3.0, 1.0]
u0 = [1.0; 1.0]

condition(u, t, integrator) = t == 5
affect!(integrator) = (integrator.p[1] = 2 * integrator.p[1] .- 0.5)
cb = DiscreteCallback(condition, affect!, save_positions = (false, false))
tstops = [5.0]

prob = ODEProblem(fiip, u0, (0.0, 10.0), p)
du01, dp1 = Zygote.gradient(
    (u0, p) -> sum(solve(prob, Tsit5(), u0 = u0, p = p,
        callback = cb, tstops = tstops,
        saveat = 0.5,
        sensealg = BacksolveAdjoint(autojacvec=ReverseDiffVJP()))),
    u0, p)


## Version using ComponentArrays 
using ComponentArrays
function fiip(du, u, p, t)
    du[1] = dx = p[:a] * u[1] - p[:b] * u[1] * u[2]
    du[2] = dy = -p[:c] * u[2] + p[:d] * u[1] * u[2]
end

p = ComponentArray(a = 1.5, b = 1.0, c = 3.0, d= 1.0)
u0 = [1.0; 1.0]

condition(u, t, integrator) = t == 5
affect!(integrator) = (integrator.p[:a] = 2 * integrator.p[1] .- 0.5)      #DIFFERENCE HERE: Index with :a instead of 1
cb = DiscreteCallback(condition, affect!, save_positions = (false, false))
tstops = [5.0]

prob = ODEProblem(fiip, u0, (0.0, 10.0), p)
du01, dp1 = Zygote.gradient(
    (u0, p) -> sum(solve(prob, Tsit5(), u0 = u0, p = p,
        callback = cb, tstops = tstops,
        saveat = 0.5,
        sensealg = BacksolveAdjoint(autojacvec=ReverseDiffVJP()))),
    u0, p)

Error & Stacktrace ⚠️

ERROR: ArgumentError: invalid index: :a of type Symbol
Stacktrace:
  [1] to_index(i::Symbol)
    @ Base .\indices.jl:300
  [2] to_index(A::Vector{ReverseDiff.TrackedReal{Float64, Float64, ReverseDiff.TrackedArray{…}}}, i::Symbol)
    @ Base .\indices.jl:277
  [3] _to_indices1(A::Vector{ReverseDiff.TrackedReal{…}}, inds::Tuple{Base.OneTo{…}}, I1::Symbol)
    @ Base .\indices.jl:359
  [4] to_indices
    @ .\indices.jl:354 [inlined]
  [5] to_indices
    @ .\indices.jl:345 [inlined]
  [6] setindex!
    @ .\abstractarray.jl:1396 [inlined]
  [7] affect!(integrator::SciMLSensitivity.FakeIntegrator{Vector{…}, Vector{…}, ReverseDiff.TrackedReal{…}, Float64})
    @ Main c:\Users\Matt Bossart\OneDrive - UCB-O365\Desktop\Transient Stability\TestingEnzyme\enzyme_mwe_callback_indexing_bug.jl:38
  [8] (::SciMLSensitivity.var"#273#275"{…})(du::Vector{…}, u::ReverseDiff.TrackedArray{…}, p::ReverseDiff.TrackedArray{…}, t::ReverseDiff.TrackedReal{…})
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\callback_tracking.jl:389
  [9] (::SciMLSensitivity.var"#123#127"{…})(u::ReverseDiff.TrackedArray{…}, p::ReverseDiff.TrackedArray{…}, t::ReverseDiff.TrackedArray{…})
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\adjoint_common.jl:366
 [10] ReverseDiff.GradientTape(f::Function, input::Tuple{…}, cfg::ReverseDiff.GradientConfig{…})
    @ ReverseDiff C:\Users\Matt Bossart\.julia\packages\ReverseDiff\p1MzG\src\api\tape.jl:207
 [11] ReverseDiff.GradientTape(f::Function, input::Tuple{Vector{…}, ComponentVector{…}, Vector{…}})
    @ ReverseDiff C:\Users\Matt Bossart\.julia\packages\ReverseDiff\p1MzG\src\api\tape.jl:204
 [12] get_paramjac_config(autojacvec::ReverseDiffVJP{…}, p::ComponentVector{…}, f::SciMLSensitivity.var"#273#275"{…}, y::Vector{…}, _p::ComponentVector{…}, _t::Float64; numindvar::Int64, alg::Nothing, isinplace::Bool, isRODE::Bool, _W::Nothing)
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\adjoint_common.jl:362
 [13] get_cb_diffcaches
    @ C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\callback_tracking.jl:468 [inlined]
 [14] _setup_reverse_callbacks(cb::DiscreteCallback{…}, affect::SciMLSensitivity.TrackedAffect{…}, sensealg::BacksolveAdjoint{…}, dgdu::Function, dgdp::Nothing, loss_ref::Base.RefValue{…}, terminated::Bool)
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\callback_tracking.jl:255
 [15] _setup_reverse_callbacks
    @ C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\callback_tracking.jl:219 [inlined]
 [16] _broadcast_getindex_evalf
    @ .\broadcast.jl:709 [inlined]
 [17] _broadcast_getindex
    @ .\broadcast.jl:682 [inlined]
 [18] (::Base.Broadcast.var"#31#32"{Base.Broadcast.Broadcasted{…}})(k::Int64)
    @ Base.Broadcast .\broadcast.jl:1118
 [19] ntuple
    @ .\ntuple.jl:48 [inlined]
 [20] copy
    @ .\broadcast.jl:1118 [inlined]
 [21] materialize
    @ .\broadcast.jl:903 [inlined]
 [22] setup_reverse_callbacks(cb::CallbackSet{…}, sensealg::BacksolveAdjoint{…}, dgdu::Function, dgdp::Nothing, cur_time::Base.RefValue{…}, terminated::Bool)
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\callback_tracking.jl:200
 [23] generate_callbacks(sensefun::SciMLSensitivity.ODEBacksolveSensitivityFunction{…}, dgdu::Function, dgdp::Nothing, λ::Vector{…}, t::Vector{…}, t0::Float64, callback::CallbackSet{…}, init_cb::Bool, terminated::Bool)
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\adjoint_common.jl:593
 [24] ODEAdjointProblem(sol::ODESolution{…}, sensealg::BacksolveAdjoint{…}, alg::Tsit5{…}, t::Vector{…}, dgdu_discrete::SciMLSensitivity.var"#df_iip#315"{…}, dgdp_discrete::Nothing, dgdu_continuous::Nothing, dgdp_continuous::Nothing, g::Nothing, ::Val{…}; checkpoints::Vector{…}, callback::CallbackSet{…}, z0::Nothing, M::Nothing, nilss::Nothing, tspan::Tuple{…}, kwargs::@Kwargs{…})
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\backsolve_adjoint.jl:189
 [25] _adjoint_sensitivities(sol::ODESolution{…}, sensealg::BacksolveAdjoint{…}, alg::Tsit5{…}; t::Vector{…}, dgdu_discrete::Function, dgdp_discrete::Nothing, dgdu_continuous::Nothing, dgdp_continuous::Nothing, g::Nothing, abstol::Float64, reltol::Float64, checkpoints::Vector{…}, corfunc_analytical::Nothing, callback::CallbackSet{…}, kwargs::@Kwargs{…})
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\sensitivity_interface.jl:406
 [26] _adjoint_sensitivities
    @ C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\sensitivity_interface.jl:390 [inlined]
 [27] #adjoint_sensitivities#63
    @ C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\sensitivity_interface.jl:386 [inlined]
 [28] (::SciMLSensitivity.var"#adjoint_sensitivity_backpass#314"{…})(Δ::ODESolution{…})
    @ SciMLSensitivity C:\Users\Matt Bossart\.julia\packages\SciMLSensitivity\waEMv\src\concrete_solve.jl:582
 [29] ZBack
    @ C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\chainrules.jl:211 [inlined]
 [30] (::Zygote.var"#kw_zpullback#53"{…})(dy::ODESolution{…})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\chainrules.jl:237
 [31] #291
    @ C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\lib\lib.jl:206 [inlined]
 [32] (::Zygote.var"#2169#back#293"{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\ZygoteRules\M4xmc\src\adjoint.jl:72
 [33] #solve#51
    @ C:\Users\Matt Bossart\.julia\packages\DiffEqBase\c8MAQ\src\solve.jl:1003 [inlined]
 [34] (::Zygote.Pullback{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\interface2.jl:0
 [35] #291
    @ C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\lib\lib.jl:206 [inlined]
 [36] (::Zygote.var"#2169#back#293"{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\ZygoteRules\M4xmc\src\adjoint.jl:72
 [37] solve
    @ C:\Users\Matt Bossart\.julia\packages\DiffEqBase\c8MAQ\src\solve.jl:993 [inlined]
 [38] (::Zygote.Pullback{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\interface2.jl:0
 [39] #97
    @ c:\Users\Matt Bossart\OneDrive - UCB-O365\Desktop\Transient Stability\TestingEnzyme\enzyme_mwe_callback_indexing_bug.jl:44 [inlined]
 [40] (::Zygote.Pullback{Tuple{…}, Tuple{…}})(Δ::Float64)
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\interface2.jl:0
 [41] (::Zygote.var"#75#76"{Zygote.Pullback{Tuple{…}, Tuple{…}}})(Δ::Float64)
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\interface.jl:91
 [42] gradient(::Function, ::Vector{Float64}, ::Vararg{Any})
    @ Zygote C:\Users\Matt Bossart\.julia\packages\Zygote\nsBv0\src\compiler\interface.jl:148
 [43] top-level scope
    @ c:\Users\Matt Bossart\OneDrive - UCB-O365\Desktop\Transient Stability\TestingEnzyme\enzyme_mwe_callback_indexing_bug.jl:43
Some type information was truncated. Use `show(err)` to see complete types.

Environment (please complete the following information):

  • Output of using Pkg; Pkg.status()
  [b0b7db55] ComponentArrays v0.15.14
  [f6369f11] ForwardDiff v0.10.36
  [1dea7af3] OrdinaryDiffEq v6.85.0
  [1ed8b502] SciMLSensitivity v7.62.0
  [e88e6eb3] Zygote v0.6.70
  • Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
  [47edcb42] ADTypes v1.5.3
  [621f4979] AbstractFFTs v1.5.0
  [7d9f7c33] Accessors v0.1.36
  [79e6a3ab] Adapt v4.0.4
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [4fba245c] ArrayInterface v7.11.0
  [4c555306] ArrayLayouts v1.10.0
  [a9b6321e] Atomix v0.1.0
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.6
  [49dc2e85] Calculus v0.5.1
  [7057c7e9] Cassette v0.3.13
  [082447d4] ChainRules v1.69.0
  [d360d2e6] ChainRulesCore v1.24.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.0
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.15.0
  [b0b7db55] ComponentArrays v0.15.14
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [187b0558] ConstructionBase v1.5.5
  [adafc99b] CpuId v0.3.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [2b5f629d] DiffEqBase v6.151.5
  [459566f4] DiffEqCallbacks v3.6.2
  [77a26b50] DiffEqNoiseProcess v5.21.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.5.7
  [b4f34e82] Distances v0.10.11
  [31c24e10] Distributions v0.25.109
  [ffbed154] DocStringExtensions v0.9.3
  [fa6b7ba4] DualNumbers v0.6.8
  [da5c29d0] EllipsisNotation v1.8.0
  [4e289a0a] EnumX v1.0.4
  [7da242da] Enzyme v0.12.21
  [f151be2c] EnzymeCore v0.7.6
  [d4d017d3] ExponentialUtilities v1.26.1
  [e2ba6199] ExprTools v0.1.10
  [7034ab61] FastBroadcast v0.3.4
  [9aa1b823] FastClosures v0.3.2
  [29a986be] FastLapackInterface v2.0.4
  [1a297f60] FillArrays v1.11.0
  [6a86dc24] FiniteDiff v2.23.1
  [f6369f11] ForwardDiff v0.10.36
  [f62d2435] FunctionProperties v0.1.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [d9f16b24] Functors v0.4.11
  [0c68f7d7] GPUArrays v10.2.2
  [46192b85] GPUArraysCore v0.1.6
  [61eb1bfa] GPUCompiler v0.26.6
  [c145ed77] GenericSchur v0.5.4
  [86223c79] Graphs v1.11.2
  [3e5b6fbb] HostCPUFeatures v0.1.17
  [34004b35] HypergeometricFunctions v0.3.23
  [7869d1d1] IRTools v0.4.14
  [615f187c] IfElse v0.1.1
  [d25df0c9] Inflate v0.1.5
  [3587e190] InverseFunctions v0.1.14
  [92d709cd] IrrationalConstants v0.2.2
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  [ccbc3e58] JumpProcesses v9.11.1
  [ef3ab10e] KLU v0.6.0
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  [ba0b0d4f] Krylov v0.9.6
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  [2d8b4e74] LevyArea v1.0.0
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  [1914dd2f] MacroTools v0.5.13
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.3
  [e1d29d7a] Missings v1.2.0
  [46d2c3a1] MuladdMacro v0.2.4
  [d41bc354] NLSolversBase v7.8.3
  [2774e3e8] NLsolve v4.5.1
  [872c559c] NNlib v0.9.18
  [77ba4419] NaNMath v1.0.2
  [8913a72c] NonlinearSolve v3.13.1
  [d8793406] ObjectFile v0.4.1
  [6fe1bfb0] OffsetArrays v1.14.0
  [429524aa] Optim v1.9.4
  [3bd65402] Optimisers v0.3.3
  [bac558e1] OrderedCollections v1.6.3
  [1dea7af3] OrdinaryDiffEq v6.85.0
  [90014a1f] PDMats v0.11.31
  [65ce6f38] PackageExtensionCompat v1.0.2
  [d96e819e] Parameters v0.12.3
  [e409e4f3] PoissonRandom v0.4.4
  [f517fe37] Polyester v0.7.15
  [1d0040c9] PolyesterWeave v0.2.2
  [85a6dd25] PositiveFactorizations v0.2.4
  [d236fae5] PreallocationTools v0.4.22
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [43287f4e] PtrArrays v1.2.0
  [1fd47b50] QuadGK v2.9.4
  [74087812] Random123 v1.7.0
  [e6cf234a] RandomNumbers v1.5.3
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.23.1
  [f2c3362d] RecursiveFactorization v0.2.23
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.0
  [ae5879a3] ResettableStacks v1.1.1
  [37e2e3b7] ReverseDiff v1.15.3
  [79098fc4] Rmath v0.7.1
  [7e49a35a] RuntimeGeneratedFunctions v0.5.13
  [94e857df] SIMDTypes v0.1.0
  [476501e8] SLEEFPirates v0.6.43
  [0bca4576] SciMLBase v2.42.0
  [c0aeaf25] SciMLOperators v0.3.8
  [1ed8b502] SciMLSensitivity v7.62.0
  [53ae85a6] SciMLStructures v1.4.1
  [6c6a2e73] Scratch v1.2.1
  [efcf1570] Setfield v1.1.1
  [727e6d20] SimpleNonlinearSolve v1.10.1
  [699a6c99] SimpleTraits v0.9.4
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [47a9eef4] SparseDiffTools v2.19.0
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.3.3
  [e56a9233] Sparspak v0.3.9
  [276daf66] SpecialFunctions v2.4.0
  [aedffcd0] Static v1.1.0
  [0d7ed370] StaticArrayInterface v1.5.1
  [90137ffa] StaticArrays v1.9.6
  [1e83bf80] StaticArraysCore v1.4.3
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.3
  [4c63d2b9] StatsFuns v1.3.1
  [789caeaf] StochasticDiffEq v6.66.0
  [7792a7ef] StrideArraysCore v0.5.7
  [09ab397b] StructArrays v0.6.18
  [53d494c1] StructIO v0.3.0
  [2efcf032] SymbolicIndexingInterface v0.3.22
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.11.1
  [8290d209] ThreadingUtilities v0.5.2
  [a759f4b9] TimerOutputs v0.5.24
  [9f7883ad] Tracker v0.2.34
  [d5829a12] TriangularSolve v0.2.1
  [410a4b4d] Tricks v0.1.8
  [781d530d] TruncatedStacktraces v1.4.0
  [3a884ed6] UnPack v1.0.2
  [013be700] UnsafeAtomics v0.2.1
  [d80eeb9a] UnsafeAtomicsLLVM v0.1.5
  [3d5dd08c] VectorizationBase v0.21.70
  [19fa3120] VertexSafeGraphs v0.2.0
  [e88e6eb3] Zygote v0.6.70
  [700de1a5] ZygoteRules v0.2.5
⌅ [7cc45869] Enzyme_jll v0.0.128+0
  [1d5cc7b8] IntelOpenMP_jll v2024.1.0+0
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  [f50d1b31] Rmath_jll v0.4.2+0
  [1317d2d5] oneTBB_jll v2021.12.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [05823500] OpenLibm_jll v0.8.1+2
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.8.0+1
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2
  • Output of versioninfo()
Julia Version 1.10.4
Commit 48d4fd4843 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 16 × 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, tigerlake)
Threads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS =
@m-bossart m-bossart added the bug label Jul 3, 2024
@ChrisRackauckas
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I think this is fundamental to ReverseDiffVJP since it needs to run on the Array. We should just try to get this working with Enzyme.

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@ChrisRackauckas @m-bossart