ReactantVJP issue with DataInterpolations

[jbiffl]

Describe the bug 🐞

Interpolation from DataInterpolations.jl inside ODE errors, causing gradient call to fail.

Expected behavior

The interpolation is successful and the ODE gradient is returned as expected.

Minimal Reproducible Example 👇

Without MRE, we would only be able to help you to a limited extent, and attention to the issue would be limited. to know more about MRE refer to wikipedia and stackoverflow.

using OrdinaryDiffEq, DataInterpolations, Reactant, SciMLSensitivity, Zygote

interp = LinearInterpolation([0.0, 1.0], [0.0, 1.0])
function myode!(du, u, p, t)
    #not sure why allowscalar is needed here since it's not in my bigger code
    #but I've added it here to obtain the same error.
    @allowscalar du[1] = p[1]*interp(t) - u[1]
end

prob = ODEProblem(myode!, [0.0], (0.0,1.0), [1.0]);
sol = solve(prob,TRBDF2(), sensealg=GaussAdjoint(autojacvec=ReactantVJP()), saveat=0.1);

function loss(params)
    newprob = remake(prob, p=params)
    newsol = solve(newprob, TRBDF2(), sensealg=GaussAdjoint(autojacvec=ReactantVJP()), saveat=0.1)
    sum(Array(newsol))
end

@time loss([1.0]) #works fine

@time Zygote.gradient(loss, [1.0]) #gives error

Error & Stacktrace ⚠️

ERROR: TypeError: non-boolean (Reactant.TracedRNumber{Bool}) used in boolean context
Stacktrace:
  [1] _interpolate
    @ C:\Users\johnb\.julia\packages\DataInterpolations\j0nfa\src\interpolation_methods.jl:2
  [2] call_with_reactant(::Reactant.EnsureReturnType{…}, ::typeof(DataInterpolations._interpolate), ::LinearInterpolation{…}, ::Reactant.TracedRNumber{…})
    @ Reactant C:\Users\johnb\.julia\packages\Reactant\H58gu\src\utils.jl:1195
--- the above 1 lines are repeated 1 more time ---
  [4] macro expansion
    @ C:\Users\johnb\.julia\packages\GPUArraysCore\aNaXo\src\GPUArraysCore.jl:206 [inlined]
  [5] myode!
    @ .\Untitled-3:7
  [6] call_with_reactant(::Reactant.EnsureReturnType{…}, ::typeof(myode!), ::Reactant.TracedRArray{…}, ::Reactant.TracedRArray{…}, ::Reactant.TracedRArray{…}, ::Reactant.TracedRNumber{…})
    @ Reactant C:\Users\johnb\.julia\packages\Reactant\H58gu\src\utils.jl:1195
--- the above 1 lines are repeated 4 more times ---
 [11] make_mlir_fn(f::typeof(Reactant.apply), args::Tuple{…}, kwargs::Tuple{}, name::String, concretein::Bool; toscalar::Bool, return_dialect::Symbol, args_in_result::Symbol, construct_function_without_args::Bool, do_transpose::Bool, within_autodiff::Bool, input_shardings::Nothing, output_shardings::Nothing, runtime::Nothing, verify_arg_names::Nothing, argprefix::Symbol, resprefix::Symbol, resargprefix::Symbol, num_replicas::Int64, optimize_then_pad::Bool)
    @ Reactant.TracedUtils C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:370
 [12] make_mlir_fn
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:299 [inlined]
 [13] #make_mlir_fn#7
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:322 [inlined]
 [14] make_mlir_fn
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:299 [inlined]
 [15] overload_autodiff
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Enzyme.jl:332
 [16] call_with_reactant(::Reactant.EnsureReturnType{…}, ::typeof(Reactant.overload_autodiff), ::EnzymeCore.ReverseMode{…}, ::EnzymeCore.Duplicated{…}, ::Type{…}, ::EnzymeCore.Duplicated{…}, ::EnzymeCore.Duplicated{…}, ::EnzymeCore.Duplicated{…}, ::EnzymeCore.Const{…})
    @ Reactant C:\Users\johnb\.julia\packages\Reactant\H58gu\src\utils.jl:1195
 [17] #autodiff
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Overlay.jl:74
 [18] #1
    @ C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\ext\SciMLSensitivityReactantExt.jl:44
 [19] call_with_reactant(::Reactant.EnsureReturnType{…}, ::SciMLSensitivityReactantExt.var"#1#3"{…}, ::Reactant.TracedRArray{…}, ::Reactant.TracedRArray{…}, ::Reactant.TracedRArray{…}, ::Reactant.TracedRNumber{…}, ::Reactant.TracedRArray{…})
    @ Reactant C:\Users\johnb\.julia\packages\Reactant\H58gu\src\utils.jl:1195
--- the above 1 lines are repeated 2 more times ---
 [22] make_mlir_fn(f::typeof(Reactant.apply), args::Tuple{…}, kwargs::Tuple{}, name::String, concretein::Bool; toscalar::Bool, return_dialect::Symbol, args_in_result::Symbol, construct_function_without_args::Bool, do_transpose::Bool, within_autodiff::Bool, input_shardings::Nothing, output_shardings::Nothing, runtime::Val{…}, verify_arg_names::Nothing, argprefix::Symbol, resprefix::Symbol, resargprefix::Symbol, num_replicas::Int64, optimize_then_pad::Bool)
    @ Reactant.TracedUtils C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:370
 [23] make_mlir_fn
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:299 [inlined]
 [24] #make_mlir_fn#7
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:322 [inlined]
 [25] make_mlir_fn
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\TracedUtils.jl:299 [inlined]
 [26] compile_mlir!(mod::Reactant.MLIR.IR.Module, f::SciMLSensitivityReactantExt.var"#1#3"{…}, args::Tuple{…}, compile_options::CompileOptions, debugcache::Vector{…}, callcache::Dict{…}, sdycache::Dict{…}, sdygroupidcache::Tuple{…}; fn_kwargs::Tuple{}, backend::String, runtime::Val{…}, legalize_stablehlo_to_mhlo::Bool, client::Reactant.XLA.PJRT.Client, kwargs::@Kwargs{})
    @ Reactant.Compiler C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:1256
 [27] compile_mlir!
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:1215 [inlined]
 [28] compile_xla(ctx::Reactant.MLIR.IR.Context, f::Function, args::Tuple{…}; before_xla_optimizations::Bool, client::Nothing, serializable::Bool, kwargs::@Kwargs{…})
    @ Reactant.Compiler C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3470
 [29] compile_xla
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3445 [inlined]
 [30] compile(ctx::Reactant.MLIR.IR.Context, f::Function, args::Tuple{…}; kwargs::@Kwargs{})
    @ Reactant.Compiler C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3566
 [31] compile
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3563 [inlined]
 [32] macro expansion
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3559 [inlined]
 [33] macro expansion
    @ C:\Users\johnb\.julia\packages\LLVM\fEIbx\src\base.jl:97 [inlined]
 [34] compile(f::Function, args::Tuple{…}; kwargs::@Kwargs{})
    @ Reactant.Compiler C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3558
 [35] compile
    @ C:\Users\johnb\.julia\packages\Reactant\H58gu\src\Compiler.jl:3557 [inlined]
 [36] _reactant_compile(kernel::Function, args::Tuple{…}, allow_scalar::Bool)
    @ SciMLSensitivityReactantExt C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\ext\SciMLSensitivityReactantExt.jl:21
 [37] _compile_float_kernel(raw_f::ODEFunction{…}, iip::Bool, vjp::ReactantVJP, y::Vector{…}, p::Vector{…}, t_val::Float64)
    @ SciMLSensitivityReactantExt C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\ext\SciMLSensitivityReactantExt.jl:150
 [38] get_paramjac_config(::SciMLSensitivity.ReactantLoaded, vjp::ReactantVJP, pf::Function, p::Vector{…}, f::ODEFunction{…}, y::Vector{…}, _t::Float64; numindvar::Nothing, alg::Nothing)
    @ SciMLSensitivityReactantExt C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\ext\SciMLSensitivityReactantExt.jl:187
 [39] get_paramjac_config
    @ C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\ext\SciMLSensitivityReactantExt.jl:173 [inlined]
 [40] SciMLSensitivity.GaussIntegrand(sol::ODESolution{…}, sensealg::GaussAdjoint{…}, checkpoints::Vector{…}, dgdp::Nothing)
    @ SciMLSensitivity C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\src\gauss_adjoint.jl:541
 [41] _adjoint_sensitivities(sol::ODESolution{…}, sensealg::GaussAdjoint{…}, alg::TRBDF2{…}; t::StepRangeLen{…}, dgdu_discrete::Function, dgdp_discrete::Nothing, dgdu_continuous::Nothing, dgdp_continuous::Nothing, g::Nothing, abstol::Float64, reltol::Float64, checkpoints::Vector{…}, corfunc_analytical::Bool, callback::Nothing, no_start::Bool, kwargs::@Kwargs{…})
    @ SciMLSensitivity C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\src\gauss_adjoint.jl:730
 [42] _adjoint_sensitivities
    @ C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\src\gauss_adjoint.jl:690 [inlined]
 [43] #adjoint_sensitivities#69
    @ C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\src\sensitivity_interface.jl:420 [inlined]
 [44] (::SciMLSensitivity.var"#adjoint_sensitivity_backpass#333"{…})(Δ::ODESolution{…})
    @ SciMLSensitivity C:\Users\johnb\.julia\packages\SciMLSensitivity\8ysVK\src\concrete_solve.jl:968
 [45] ZBack
    @ C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\chainrules.jl:222 [inlined]
 [46] (::Zygote.var"#kw_zpullback#58"{…})(dy::ODESolution{…})
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\chainrules.jl:248
 [47] #305
    @ C:\Users\johnb\.julia\packages\Zygote\55SqB\src\lib\lib.jl:214 [inlined]
 [48] (::Zygote.var"#2189#back#307"{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\johnb\.julia\packages\ZygoteRules\CkVIK\src\adjoint.jl:72
 [49] #solve#37
    @ C:\Users\johnb\.julia\packages\DiffEqBase\3Bxly\src\solve.jl:603 [inlined]
 [50] (::Zygote.Pullback{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\interface2.jl:0
 [51] #305
    @ C:\Users\johnb\.julia\packages\Zygote\55SqB\src\lib\lib.jl:214 [inlined]
 [52] (::Zygote.var"#2189#back#307"{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\johnb\.julia\packages\ZygoteRules\CkVIK\src\adjoint.jl:72
 [53] solve
    @ C:\Users\johnb\.julia\packages\DiffEqBase\3Bxly\src\solve.jl:591 [inlined]
 [54] (::Zygote.Pullback{…})(Δ::ODESolution{…})
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\interface2.jl:0
 [55] loss
    @ .\Untitled-3:15 [inlined]
 [56] (::Zygote.Pullback{Tuple{…}, Tuple{…}})(Δ::Float64)
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\interface2.jl:0
 [57] (::Zygote.var"#88#89"{Zygote.Pullback{Tuple{…}, Tuple{…}}})(Δ::Float64)
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\interface.jl:97
 [58] gradient(f::Function, args::Vector{Float64})
    @ Zygote C:\Users\johnb\.julia\packages\Zygote\55SqB\src\compiler\interface.jl:154
 [59] macro expansion
    @ .\timing.jl:581 [inlined]
Some type information was truncated. Use `show(err)` to see complete types.

Environment (please complete the following information):

• Output of using Pkg; Pkg.status()

  [82cc6244] DataInterpolations v8.10.0
  [1dea7af3] OrdinaryDiffEq v6.111.0
  [3c362404] Reactant v0.2.252
  [1ed8b502] SciMLSensitivity v7.104.0
  [e88e6eb3] Zygote v0.7.10

• Output of using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)

  [47edcb42] ADTypes v1.21.0
  [621f4979] AbstractFFTs v1.5.0
  [7d9f7c33] Accessors v0.1.44
  [79e6a3ab] Adapt v4.5.2
  [66dad0bd] AliasTables v1.1.3
  [4fba245c] ArrayInterface v7.23.0
  [a9b6321e] Atomix v1.1.3
  [ab4f0b2a] BFloat16s v0.6.1
  [d1d4a3ce] BitFlags v0.1.9
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [70df07ce] BracketingNonlinearSolve v1.12.1
  [e1450e63] BufferedStreams v1.2.2
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.7
  [7057c7e9] Cassette v0.3.14
  [082447d4] ChainRules v1.73.0
  [d360d2e6] ChainRulesCore v1.26.1
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [944b1d66] CodecZlib v0.7.8
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.1
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [f0e56b4a] ConcurrentUtilities v2.5.1
  [187b0558] ConstructionBase v1.6.0
  [adafc99b] CpuId v0.3.1
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [82cc6244] DataInterpolations v8.10.0
  [864edb3b] DataStructures v0.19.4
  [e2d170a0] DataValueInterfaces v1.0.0
  [2b5f629d] DiffEqBase v6.216.0
  [459566f4] DiffEqCallbacks v4.14.0
  [77a26b50] DiffEqNoiseProcess v5.29.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [31c24e10] Distributions v0.25.124
  [ffbed154] DocStringExtensions v0.9.5
  [4e289a0a] EnumX v1.0.7
  [7da242da] Enzyme v0.13.138
  [f151be2c] EnzymeCore v0.8.19
  [460bff9d] ExceptionUnwrapping v0.1.11
  [d4d017d3] ExponentialUtilities v1.30.0
  [e2ba6199] ExprTools v0.1.10
  [21656369] ExpressionExplorer v1.1.4
  [55351af7] ExproniconLite v0.10.14
  [7034ab61] FastBroadcast v1.3.1
  [9aa1b823] FastClosures v0.3.2
  [442a2c76] FastGaussQuadrature v1.1.0
  [a4df4552] FastPower v1.3.1
  [1a297f60] FillArrays v1.16.0
  [64ca27bc] FindFirstFunctions v1.8.0
  [6a86dc24] FiniteDiff v2.29.0
  [f6369f11] ForwardDiff v1.3.3
  [f62d2435] FunctionProperties v0.1.2
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v1.4.0
  [d9f16b24] Functors v0.5.2
  [46192b85] GPUArraysCore v0.2.0
  [61eb1bfa] GPUCompiler v1.9.1
  [c145ed77] GenericSchur v0.5.6
  [cd3eb016] HTTP v1.11.0
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [7869d1d1] IRTools v0.4.15
  [615f187c] IfElse v0.1.1
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.6
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
  [682c06a0] JSON v1.5.0
  [ae98c720] Jieko v0.2.1
  [63c18a36] KernelAbstractions v0.9.41
  [ba0b0d4f] Krylov v0.10.6
  [929cbde3] LLVM v9.4.6
  [b964fa9f] LaTeXStrings v1.4.0
  [10f19ff3] LayoutPointers v0.1.17
  [87fe0de2] LineSearch v0.1.7
  [d3d80556] LineSearches v7.6.1
  [7ed4a6bd] LinearSolve v3.75.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [bb5d69b7] MaybeInplace v0.1.4
  [739be429] MbedTLS v1.1.10
  [e1d29d7a] Missings v1.2.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [d41bc354] NLSolversBase v8.0.0
  [872c559c] NNlib v0.9.34
  [77ba4419] NaNMath v1.1.3
  [8913a72c] NonlinearSolve v4.17.1
  [be0214bd] NonlinearSolveBase v2.24.0
  [5959db7a] NonlinearSolveFirstOrder v2.1.1
  [9a2c21bd] NonlinearSolveQuasiNewton v1.13.1
  [26075421] NonlinearSolveSpectralMethods v1.7.1
  [d8793406] ObjectFile v0.5.0
  [4d8831e6] OpenSSL v1.6.1
  [3bd65402] Optimisers v0.4.7
  [bac558e1] OrderedCollections v1.8.1
  [1dea7af3] OrdinaryDiffEq v6.111.0
  [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.11.0
  [6ad6398a] OrdinaryDiffEqBDF v1.26.0
  [bbf590c4] OrdinaryDiffEqCore v3.31.0
  [50262376] OrdinaryDiffEqDefault v1.14.0
  [4302a76b] OrdinaryDiffEqDifferentiation v2.9.0
  [9286f039] OrdinaryDiffEqExplicitRK v1.12.0
  [e0540318] OrdinaryDiffEqExponentialRK v1.15.0
  [becaefa8] OrdinaryDiffEqExtrapolation v1.18.0
  [5960d6e9] OrdinaryDiffEqFIRK v1.26.0
  [101fe9f7] OrdinaryDiffEqFeagin v1.10.0
  [d3585ca7] OrdinaryDiffEqFunctionMap v1.11.0
  [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.12.0
  [9f002381] OrdinaryDiffEqIMEXMultistep v1.14.0
  [521117fe] OrdinaryDiffEqLinear v1.12.0
  [1344f307] OrdinaryDiffEqLowOrderRK v1.13.0
  [b0944070] OrdinaryDiffEqLowStorageRK v1.15.0
  [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.28.0
  [c9986a66] OrdinaryDiffEqNordsieck v1.11.0
  [5dd0a6cf] OrdinaryDiffEqPDIRK v1.14.0
  [5b33eab2] OrdinaryDiffEqPRK v1.10.0
  [04162be5] OrdinaryDiffEqQPRK v1.10.0
  [af6ede74] OrdinaryDiffEqRKN v1.12.0
  [43230ef6] OrdinaryDiffEqRosenbrock v1.31.0
  [2d112036] OrdinaryDiffEqSDIRK v1.14.0
  [669c94d9] OrdinaryDiffEqSSPRK v1.14.0
  [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.14.0
  [358294b1] OrdinaryDiffEqStabilizedRK v1.11.0
  [fa646aed] OrdinaryDiffEqSymplecticRK v1.13.0
  [b1df2697] OrdinaryDiffEqTsit5 v1.12.0
  [79d7bb75] OrdinaryDiffEqVerner v1.14.0
  [90014a1f] PDMats v0.11.37
  [69de0a69] Parsers v2.8.3
  [e409e4f3] PoissonRandom v0.4.7
  [f517fe37] Polyester v0.7.19
  [1d0040c9] PolyesterWeave v0.2.2
  [d236fae5] PreallocationTools v1.2.0
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.5.2
  [08abe8d2] PrettyTables v3.3.2
  [3349acd9] ProtoBuf v1.3.0
  [43287f4e] PtrArrays v1.4.0
  [1fd47b50] QuadGK v2.11.3
  [e6cf234a] RandomNumbers v1.6.0
  [3c362404] Reactant v0.2.252
  [a3311ec8] ReactantCore v0.1.19
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
⌅ [731186ca] RecursiveArrayTools v3.54.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [ae5879a3] ResettableStacks v1.2.0
  [37e2e3b7] ReverseDiff v1.16.2
  [79098fc4] Rmath v0.9.0
  [7e49a35a] RuntimeGeneratedFunctions v0.5.18
  [94e857df] SIMDTypes v0.1.0
⌅ [0bca4576] SciMLBase v2.155.0
  [19f34311] SciMLJacobianOperators v0.1.13
  [a6db7da4] SciMLLogging v1.9.1
  [c0aeaf25] SciMLOperators v1.16.0
  [431bcebd] SciMLPublic v1.0.1
  [1ed8b502] SciMLSensitivity v7.104.0
  [53ae85a6] SciMLStructures v1.10.0
  [7e506255] ScopedValues v1.6.0
  [6c6a2e73] Scratch v1.3.0
  [efcf1570] Setfield v1.1.2
  [777ac1f9] SimpleBufferStream v1.2.0
  [727e6d20] SimpleNonlinearSolve v2.11.1
  [a2af1166] SortingAlgorithms v1.2.2
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.26
  [276daf66] SpecialFunctions v2.7.2
  [860ef19b] StableRNGs v1.0.4
  [aedffcd0] Static v1.3.1
  [0d7ed370] StaticArrayInterface v1.9.0
  [90137ffa] StaticArrays v1.9.18
  [1e83bf80] StaticArraysCore v1.4.4
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [7792a7ef] StrideArraysCore v0.5.8
  [892a3eda] StringManipulation v0.4.4
  [09ab397b] StructArrays v0.7.3
  [53d494c1] StructIO v0.3.1
  [ec057cc2] StructUtils v2.7.2
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [9f7883ad] Tracker v0.2.38
  [e689c965] Tracy v0.1.6
  [3bb67fe8] TranscodingStreams v0.11.3
  [781d530d] TruncatedStacktraces v1.4.0
  [5c2747f8] URIs v1.6.1
  [013be700] UnsafeAtomics v0.3.1
  [e88e6eb3] Zygote v0.7.10
  [700de1a5] ZygoteRules v0.2.7
  [7cc45869] Enzyme_jll v0.0.256+0
  [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
  [dad2f222] LLVMExtra_jll v0.0.38+0
  [1d63c593] LLVMOpenMP_jll v18.1.8+0
  [ad6e5548] LibTracyClient_jll v0.13.1+0
  [856f044c] MKL_jll v2025.2.0+0
  [458c3c95] OpenSSL_jll v3.5.6+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
⌅ [0192cb87] Reactant_jll v0.0.371+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [1317d2d5] oneTBB_jll v2022.0.0+1
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [4af54fe1] LazyArtifacts v1.11.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.11.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.11.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.11.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.6.0+0
  [e37daf67] LibGit2_jll v1.7.2+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.6+0
  [14a3606d] MozillaCACerts_jll v2023.12.12
  [4536629a] OpenBLAS_jll v0.3.27+1
  [05823500] OpenLibm_jll v0.8.5+0
  [bea87d4a] SuiteSparse_jll v7.7.0+0
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.59.0+0
  [3f19e933] p7zip_jll v17.4.0+2

• Output of versioninfo()

Julia Version 1.11.9
Commit 53a02c0720 (2026-02-06 00:27 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 24 × AMD Ryzen 9 9900X 12-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, generic)
Threads: 24 default, 0 interactive, 6 GC (on 24 virtual cores)
Environment:
  JULIA_EDITOR = code
  JULIA_VSCODE_REPL = 1

Additional context

Add any other context about the problem here.

[ChrisRackauckas-Claude]

Status update (2026-05-21)

Reproduction confirmed with current packages on Julia 1.12.6 / Linux:

Package	Version
DataInterpolations	8.9.0
Reactant	0.2.261
SciMLSensitivity	7.110.0 (master)
OrdinaryDiffEq	7.0.0
Zygote	0.7.10

Same error as filed: TypeError: non-boolean (Reactant.TracedRNumber{Bool}) used in boolean context at DataInterpolations/src/interpolation_methods.jl:2.

Root cause

Purely upstream in DataInterpolations.jl. The minimal repro (no SciMLSensitivity, no ODE) fails identically:

using Reactant, DataInterpolations
interp = LinearInterpolation([0.0, 1.0, 2.0], [0.0, 1.0, 2.0])
x = Reactant.ConcreteRNumber(0.5)
@compile interp(x)   # ← fails with the same TypeError

The offending code is src/interpolation_methods.jl:1-9:

function _interpolate(A, t)
    return if t < first(A.t)              # ← `<` returns TracedRNumber{Bool}, can't be used in `if`
        _extrapolate_left(A, t)
    elseif t > last(A.t)
        _extrapolate_right(A, t)
    else
        _interpolate(A, t, A.iguesser)
    end
end

Investigation of alternative fixes (@trace if, @reactant_overlay, traced_call) all hit the same wall: Reactant's call_with_reactant traces through function bodies and encounters the raw if regardless. The only fix is a dispatch on TracedRNumber to a branchless _interpolate body.

Upstream tracking

SciML/DataInterpolations.jl#516 (open) adds DataInterpolationsReactantExt with branchless _interpolate methods for LinearInterpolation, ConstantInterpolation, and QuadraticInterpolation. It uses cascading ifelse chains (lowered to stablehlo.select).

Just verified end-to-end with that PR rebased onto current master:

• Forward solve and loss(p) work (already do without the fix).
• Zygote.gradient(loss, [1.0]) returns [1.5063396621264582].
• Matches finite-difference gradient to ~0.25% relative error.

Recommendation for SciMLSensitivity

No code change needed here — fix is upstream. Once SciML/DataInterpolations.jl#516 lands, this works automatically. No @test_broken needed in SciMLSensitivity since there's no test exercising the DataInterpolations-inside-ODE-with-ReactantVJP combination here; the failure is downstream of the SciMLSensitivity boundary.

Co-Authored-By: Chris Rackauckas accounts@chrisrackauckas.com