MNIST Example Throws Exception at Optimization.solve (in v4.0) #954
Description
Describe the bug 🐞
MNIST example throws exception at solve.
https://docs.sciml.ai/DiffEqFlux/stable/examples/mnist_neural_ode/
Expected behavior
A clear and concise description of what you expected to happen.
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.
https://docs.sciml.ai/DiffEqFlux/stable/examples/mnist_neural_ode/
Error & Stacktrace
1-element ExceptionStack:
LoadError: Optimization algorithm not found. Either the chosen algorithm is not a valid solver
choice for the `OptimizationProblem`, or the Optimization solver library is not loaded.
Make sure that you have loaded an appropriate Optimization.jl solver library, for example,
`solve(prob,Optim.BFGS())` requires `using OptimizationOptimJL` and
`solve(prob,Adam())` requires `using OptimizationOptimisers`.
For more information, see the Optimization.jl documentation: https://docs.sciml.ai/Optimization/stable/.
Chosen Optimizer: Adam(0.05, (0.9, 0.999), 1.0e-8)
Stacktrace:
[1] __init(prob::OptimizationProblem{true, OptimizationFunction{true, AutoZygote, var"#3#4", Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, ComponentVector{Float32, CuArray{Float32, 1, CUDA.DeviceMemory}, Tuple{Axis{(down = ViewAxis(1:15700, Axis(layer_1 = 1:0, layer_2 = ViewAxis(1:15700, Axis(weight = ViewAxis(1:15680, ShapedAxis((20, 784))), bias = 15681:15700)))), nn_ode = ViewAxis(15701:16240, Axis(layer_1 = ViewAxis(1:210, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)), layer_2 = ViewAxis(211:320, Axis(weight = ViewAxis(1:100, ShapedAxis((10, 10))), bias = 101:110)), layer_3 = ViewAxis(321:540, Axis(weight = ViewAxis(1:200, ShapedAxis((20, 10))), bias = 201:220)))), convert = 16241:16240, fc = ViewAxis(16241:16450, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)))}}}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, @Kwargs{}}, alg::Adam, args::Base.Iterators.Zip{Tuple{BatchView{CuArray{Float32, 4, CUDA.DeviceMemory}, CuArray{Float32, 4, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}, BatchView{CuArray{Int64, 2, CUDA.DeviceMemory}, CuArray{Int64, 2, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}}}; kwargs::@Kwargs{callback::typeof(callback)})
@ SciMLBase
[2] init(prob::OptimizationProblem{true, OptimizationFunction{true, AutoZygote, var"#3#4", Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, ComponentVector{Float32, CuArray{Float32, 1, CUDA.DeviceMemory}, Tuple{Axis{(down = ViewAxis(1:15700, Axis(layer_1 = 1:0, layer_2 = ViewAxis(1:15700, Axis(weight = ViewAxis(1:15680, ShapedAxis((20, 784))), bias = 15681:15700)))), nn_ode = ViewAxis(15701:16240, Axis(layer_1 = ViewAxis(1:210, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)), layer_2 = ViewAxis(211:320, Axis(weight = ViewAxis(1:100, ShapedAxis((10, 10))), bias = 101:110)), layer_3 = ViewAxis(321:540, Axis(weight = ViewAxis(1:200, ShapedAxis((20, 10))), bias = 201:220)))), convert = 16241:16240, fc = ViewAxis(16241:16450, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)))}}}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, @Kwargs{}}, alg::Adam, args::Base.Iterators.Zip{Tuple{BatchView{CuArray{Float32, 4, CUDA.DeviceMemory}, CuArray{Float32, 4, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}, BatchView{CuArray{Int64, 2, CUDA.DeviceMemory}, CuArray{Int64, 2, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}}}; kwargs::@Kwargs{callback::typeof(callback)})
@ SciMLBase
[3] solve(prob::OptimizationProblem{true, OptimizationFunction{true, AutoZygote, var"#3#4", Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, ComponentVector{Float32, CuArray{Float32, 1, CUDA.DeviceMemory}, Tuple{Axis{(down = ViewAxis(1:15700, Axis(layer_1 = 1:0, layer_2 = ViewAxis(1:15700, Axis(weight = ViewAxis(1:15680, ShapedAxis((20, 784))), bias = 15681:15700)))), nn_ode = ViewAxis(15701:16240, Axis(layer_1 = ViewAxis(1:210, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)), layer_2 = ViewAxis(211:320, Axis(weight = ViewAxis(1:100, ShapedAxis((10, 10))), bias = 101:110)), layer_3 = ViewAxis(321:540, Axis(weight = ViewAxis(1:200, ShapedAxis((20, 10))), bias = 201:220)))), convert = 16241:16240, fc = ViewAxis(16241:16450, Axis(weight = ViewAxis(1:200, ShapedAxis((10, 20))), bias = 201:210)))}}}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, @Kwargs{}}, alg::Adam, args::Base.Iterators.Zip{Tuple{BatchView{CuArray{Float32, 4, CUDA.DeviceMemory}, CuArray{Float32, 4, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}, BatchView{CuArray{Int64, 2, CUDA.DeviceMemory}, CuArray{Int64, 2, CUDA.DeviceMemory}, LearnBase.ObsDim.Last}}}; kwargs::@Kwargs{callback::typeof(callback)})
@ SciMLBase
Environment (please complete the following information):
- Output of
using Pkg; Pkg.status()
julia> Pkg.status()
Status `\.julia\environments\v1.11\Project.toml`
[052768ef] CUDA v5.5.2
[b0b7db55] ComponentArrays v0.15.17
[aae7a2af] DiffEqFlux v4.0.0
[b2108857] Lux v1.1.0
[d0bbae9a] LuxCUDA v0.3.3
[cc2ba9b6] MLDataUtils v0.5.4
[eb30cadb] MLDatasets v0.7.18
[872c559c] NNlib v0.9.24
[7f7a1694] Optimization v4.0.3
[42dfb2eb] OptimizationOptimisers v0.3.3
[1dea7af3] OrdinaryDiffEq v6.89.0
[10745b16] Statistics v1.11.1
[e88e6eb3] Zygote v0.6.72
[9a3f8284] Random v1.11.0
[8dfed614] Test v1.11.0- Output of
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status '\.julia\environments\v1.11\Manifest.toml`
[47edcb42] ADTypes v1.9.0
[621f4979] AbstractFFTs v1.5.0
[1520ce14] AbstractTrees v0.4.5
[7d9f7c33] Accessors v0.1.38
[79e6a3ab] Adapt v4.0.4
[66dad0bd] AliasTables v1.1.3
[dce04be8] ArgCheck v2.3.0
[ec485272] ArnoldiMethod v0.4.0
[4fba245c] ArrayInterface v7.16.0
[4c555306] ArrayLayouts v1.10.3
[a9b6321e] Atomix v0.1.0
⌅ [a963bdd2] AtomsBase v0.3.5
[ab4f0b2a] BFloat16s v0.5.0
[198e06fe] BangBang v0.4.3
[9718e550] Baselet v0.1.1
[d1d4a3ce] BitFlags v0.1.9
[62783981] BitTwiddlingConvenienceFunctions v0.1.6
[4544d5e4] Boltz v1.0.1
[e1450e63] BufferedStreams v1.2.2
[fa961155] CEnum v0.5.0
[2a0fbf3d] CPUSummary v0.2.6
[336ed68f] CSV v0.10.14
[052768ef] CUDA v5.5.2
[1af6417a] CUDA_Runtime_Discovery v0.3.5
[7057c7e9] Cassette v0.3.13
[082447d4] ChainRules v1.71.0
[d360d2e6] ChainRulesCore v1.25.0
[46823bd8] Chemfiles v0.10.41
[fb6a15b2] CloseOpenIntervals v0.1.13
[944b1d66] CodecZlib v0.7.6
[35d6a980] ColorSchemes v3.26.0
[3da002f7] ColorTypes v0.11.5
[c3611d14] ColorVectorSpace v0.10.0
[5ae59095] Colors v0.12.11
[38540f10] CommonSolve v0.2.4
[bbf7d656] CommonSubexpressions v0.3.1
[f70d9fcc] CommonWorldInvalidations v1.0.0
[34da2185] Compat v4.16.0
[b0b7db55] ComponentArrays v0.15.17
[a33af91c] CompositionsBase v0.1.2
[2569d6c7] ConcreteStructs v0.2.3
[f0e56b4a] ConcurrentUtilities v2.4.2
[88cd18e8] ConsoleProgressMonitor v0.1.2
[187b0558] ConstructionBase v1.5.8
[6add18c4] ContextVariablesX v0.1.3
[adafc99b] CpuId v0.3.1
[a8cc5b0e] Crayons v4.1.1
[9a962f9c] DataAPI v1.16.0
[124859b0] DataDeps v0.7.13
[a93c6f00] DataFrames v1.7.0
[864edb3b] DataStructures v0.18.20
[e2d170a0] DataValueInterfaces v1.0.0
[244e2a9f] DefineSingletons v0.1.2
[8bb1440f] DelimitedFiles v1.9.1
[2b5f629d] DiffEqBase v6.158.1
[459566f4] DiffEqCallbacks v4.0.0
[aae7a2af] DiffEqFlux v4.0.0
[77a26b50] DiffEqNoiseProcess v5.23.0
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.15.1
[a0c0ee7d] DifferentiationInterface v0.6.16
[8d63f2c5] DispatchDoctor v0.4.16
[31c24e10] Distributions v0.25.112
[ffbed154] DocStringExtensions v0.9.3
[4e289a0a] EnumX v1.0.4
[7da242da] Enzyme v0.13.11
[f151be2c] EnzymeCore v0.8.4
[460bff9d] ExceptionUnwrapping v0.1.10
[d4d017d3] ExponentialUtilities v1.26.1
[e2ba6199] ExprTools v0.1.10
⌅ [6b7a57c9] Expronicon v0.8.5
[cc61a311] FLoops v0.2.2
[b9860ae5] FLoopsBase v0.1.1
[7034ab61] FastBroadcast v0.3.5
[9aa1b823] FastClosures v0.3.2
[29a986be] FastLapackInterface v2.0.4
[5789e2e9] FileIO v1.16.4
[48062228] FilePathsBase v0.9.22
[1a297f60] FillArrays v1.13.0
[6a86dc24] FiniteDiff v2.26.0
[53c48c17] FixedPointNumbers v0.8.5
[f6369f11] ForwardDiff v0.10.36
[f62d2435] FunctionProperties v0.1.2
[069b7b12] FunctionWrappers v1.1.3
[77dc65aa] FunctionWrappersWrappers v0.1.3
[d9f16b24] Functors v0.4.12
⌅ [0c68f7d7] GPUArrays v10.3.1
⌅ [46192b85] GPUArraysCore v0.1.6
⌅ [61eb1bfa] GPUCompiler v0.27.8
[92fee26a] GZip v0.6.2
[c145ed77] GenericSchur v0.5.4
[c27321d9] Glob v1.3.1
[86223c79] Graphs v1.12.0
[f67ccb44] HDF5 v0.17.2
[cd3eb016] HTTP v1.10.8
[3e5b6fbb] HostCPUFeatures v0.1.17
[0e44f5e4] Hwloc v3.3.0
[34004b35] HypergeometricFunctions v0.3.24
[7869d1d1] IRTools v0.4.14
[615f187c] IfElse v0.1.1
[c817782e] ImageBase v0.1.7
[a09fc81d] ImageCore v0.10.2
[4e3cecfd] ImageShow v0.3.8
[d25df0c9] Inflate v0.1.5
[22cec73e] InitialValues v0.3.1
[842dd82b] InlineStrings v1.4.2
[7d512f48] InternedStrings v0.7.0
[3587e190] InverseFunctions v0.1.17
[41ab1584] InvertedIndices v1.3.0
[92d709cd] IrrationalConstants v0.2.2
[82899510] IteratorInterfaceExtensions v1.0.0
[033835bb] JLD2 v0.5.6
[692b3bcd] JLLWrappers v1.6.1
[0f8b85d8] JSON3 v1.14.1
[b14d175d] JuliaVariables v0.2.4
[ef3ab10e] KLU v0.6.0
[63c18a36] KernelAbstractions v0.9.28
[ba0b0d4f] Krylov v0.9.7
[5be7bae1] LBFGSB v0.4.1
[929cbde3] LLVM v9.1.2
[8b046642] LLVMLoopInfo v1.0.0
[b964fa9f] LaTeXStrings v1.4.0
[10f19ff3] LayoutPointers v0.1.17
[5078a376] LazyArrays v2.2.1
[8cdb02fc] LazyModules v0.3.1
⌅ [7f8f8fb0] LearnBase v0.3.0
[1d6d02ad] LeftChildRightSiblingTrees v0.2.0
[87fe0de2] LineSearch v0.1.3
[d3d80556] LineSearches v7.3.0
[7ed4a6bd] LinearSolve v2.36.0
[2ab3a3ac] LogExpFunctions v0.3.28
[e6f89c97] LoggingExtras v1.0.3
[bdcacae8] LoopVectorization v0.12.171
[30fc2ffe] LossFunctions v0.11.2
[b2108857] Lux v1.1.0
[d0bbae9a] LuxCUDA v0.3.3
[bb33d45b] LuxCore v1.0.1
[82251201] LuxLib v1.3.4
[23992714] MAT v0.10.7
[7e8f7934] MLDataDevices v1.3.0
⌃ [9920b226] MLDataPattern v0.5.4
[cc2ba9b6] MLDataUtils v0.5.4
[eb30cadb] MLDatasets v0.7.18
[66a33bbf] MLLabelUtils v0.5.7
[d8e11817] MLStyle v0.4.17
[f1d291b0] MLUtils v0.4.4
[3da0fdf6] MPIPreferences v0.1.11
[1914dd2f] MacroTools v0.5.13
[d125e4d3] ManualMemory v0.1.8
[dbb5928d] MappedArrays v0.4.2
[bb5d69b7] MaybeInplace v0.1.4
[739be429] MbedTLS v1.1.9
[128add7d] MicroCollections v0.2.0
[e1d29d7a] Missings v1.2.0
[e94cdb99] MosaicViews v0.3.4
[46d2c3a1] MuladdMacro v0.2.4
[d41bc354] NLSolversBase v7.8.3
[872c559c] NNlib v0.9.24
[15e1cf62] NPZ v0.4.3
[5da4648a] NVTX v0.3.4
[77ba4419] NaNMath v1.0.2
[71a1bf82] NameResolution v0.1.5
[8913a72c] NonlinearSolve v3.15.1
[d8793406] ObjectFile v0.4.2
[6fe1bfb0] OffsetArrays v1.14.1
[4d8831e6] OpenSSL v1.4.3
[429524aa] Optim v1.9.4
[3bd65402] Optimisers v0.3.3
[7f7a1694] Optimization v4.0.3
[bca83a33] OptimizationBase v2.3.0
[42dfb2eb] OptimizationOptimisers v0.3.3
[bac558e1] OrderedCollections v1.6.3
[1dea7af3] OrdinaryDiffEq v6.89.0
[89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.1.0
[6ad6398a] OrdinaryDiffEqBDF v1.1.2
[bbf590c4] OrdinaryDiffEqCore v1.7.1
[50262376] OrdinaryDiffEqDefault v1.1.0
[4302a76b] OrdinaryDiffEqDifferentiation v1.1.0
[9286f039] OrdinaryDiffEqExplicitRK v1.1.0
[e0540318] OrdinaryDiffEqExponentialRK v1.1.0
[becaefa8] OrdinaryDiffEqExtrapolation v1.1.0
[5960d6e9] OrdinaryDiffEqFIRK v1.1.1
[101fe9f7] OrdinaryDiffEqFeagin v1.1.0
[d3585ca7] OrdinaryDiffEqFunctionMap v1.1.1
[d28bc4f8] OrdinaryDiffEqHighOrderRK v1.1.0
[9f002381] OrdinaryDiffEqIMEXMultistep v1.1.0
[521117fe] OrdinaryDiffEqLinear v1.1.0
[1344f307] OrdinaryDiffEqLowOrderRK v1.2.0
[b0944070] OrdinaryDiffEqLowStorageRK v1.2.1
[127b3ac7] OrdinaryDiffEqNonlinearSolve v1.2.1
[c9986a66] OrdinaryDiffEqNordsieck v1.1.0
[5dd0a6cf] OrdinaryDiffEqPDIRK v1.1.0
[5b33eab2] OrdinaryDiffEqPRK v1.1.0
[04162be5] OrdinaryDiffEqQPRK v1.1.0
[af6ede74] OrdinaryDiffEqRKN v1.1.0
[43230ef6] OrdinaryDiffEqRosenbrock v1.2.0
[2d112036] OrdinaryDiffEqSDIRK v1.1.0
[669c94d9] OrdinaryDiffEqSSPRK v1.2.0
[e3e12d00] OrdinaryDiffEqStabilizedIRK v1.1.0
[358294b1] OrdinaryDiffEqStabilizedRK v1.1.0
[fa646aed] OrdinaryDiffEqSymplecticRK v1.1.0
[b1df2697] OrdinaryDiffEqTsit5 v1.1.0
[79d7bb75] OrdinaryDiffEqVerner v1.1.1
[90014a1f] PDMats v0.11.31
[65ce6f38] PackageExtensionCompat v1.0.2
[5432bcbf] PaddedViews v0.5.12
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.8.1
[7b2266bf] PeriodicTable v1.2.1
[fbb45041] Pickle v0.3.5
[e409e4f3] PoissonRandom v0.4.4
[f517fe37] Polyester v0.7.16
[1d0040c9] PolyesterWeave v0.2.2
[2dfb63ee] PooledArrays v1.4.3
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.4.24
[aea7be01] PrecompileTools v1.2.1
[21216c6a] Preferences v1.4.3
[8162dcfd] PrettyPrint v0.2.0
[08abe8d2] PrettyTables v2.4.0
[33c8b6b6] ProgressLogging v0.1.4
[92933f4c] ProgressMeter v1.10.2
[43287f4e] PtrArrays v1.2.1
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[e6cf234a] RandomNumbers v1.6.0
[c1ae055f] RealDot v0.1.0
[3cdcf5f2] RecipesBase v1.3.4
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[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 v0.8.0
[7e49a35a] RuntimeGeneratedFunctions v0.5.13
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[c0aeaf25] SciMLOperators v0.3.11
[1ed8b502] SciMLSensitivity v7.69.0
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[efcf1570] Setfield v1.1.1
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[47a9eef4] SparseDiffTools v2.23.0
[dc90abb0] SparseInverseSubset v0.1.2
[0a514795] SparseMatrixColorings v0.4.7
[e56a9233] Sparspak v0.3.9
[276daf66] SpecialFunctions v2.4.0
[171d559e] SplittablesBase v0.1.15
[cae243ae] StackViews v0.1.1
[aedffcd0] Static v1.1.1
[0d7ed370] StaticArrayInterface v1.8.0
[90137ffa] StaticArrays v1.9.7
[1e83bf80] StaticArraysCore v1.4.3
[10745b16] Statistics v1.11.1
[82ae8749] StatsAPI v1.7.0
⌅ [2913bbd2] StatsBase v0.33.21
[4c63d2b9] StatsFuns v1.3.2
[7792a7ef] StrideArraysCore v0.5.7
⌅ [4db3bf67] StridedViews v0.2.2
[69024149] StringEncodings v0.3.7
[892a3eda] StringManipulation v0.4.0
[09ab397b] StructArrays v0.6.18
[53d494c1] StructIO v0.3.1
[856f2bd8] StructTypes v1.11.0
[2efcf032] SymbolicIndexingInterface v0.3.33
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.12.0
[62fd8b95] TensorCore v0.1.1
[5d786b92] TerminalLoggers v0.1.7
[8290d209] ThreadingUtilities v0.5.2
[a759f4b9] TimerOutputs v0.5.25
[9f7883ad] Tracker v0.2.35
[3bb67fe8] TranscodingStreams v0.11.3
[28d57a85] Transducers v0.4.84
[d5829a12] TriangularSolve v0.2.1
[781d530d] TruncatedStacktraces v1.4.0
[5c2747f8] URIs v1.5.1
[3a884ed6] UnPack v1.0.2
[1986cc42] Unitful v1.21.0
[a7773ee8] UnitfulAtomic v1.0.0
[013be700] UnsafeAtomics v0.2.1
[d80eeb9a] UnsafeAtomicsLLVM v0.2.1
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[19fa3120] VertexSafeGraphs v0.2.0
[ea10d353] WeakRefStrings v1.4.2
[d49dbf32] WeightInitializers v1.0.4
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[e88e6eb3] Zygote v0.6.72
[700de1a5] ZygoteRules v0.2.5
[02a925ec] cuDNN v1.4.0
[4ee394cb] CUDA_Driver_jll v0.10.3+0
[76a88914] CUDA_Runtime_jll v0.15.3+0
[62b44479] CUDNN_jll v9.4.0+0
[78a364fa] Chemfiles_jll v0.10.4+0
⌅ [7cc45869] Enzyme_jll v0.0.154+0
[0234f1f7] HDF5_jll v1.14.3+3
[e33a78d0] Hwloc_jll v2.11.2+0
[1d5cc7b8] IntelOpenMP_jll v2024.2.1+0
[9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0
[dad2f222] LLVMExtra_jll v0.0.34+0
[81d17ec3] L_BFGS_B_jll v3.0.1+0
[94ce4f54] Libiconv_jll v1.17.0+0
[856f044c] MKL_jll v2024.2.0+0
[7cb0a576] MPICH_jll v4.2.3+0
[f1f71cc9] MPItrampoline_jll v5.5.1+0
[9237b28f] MicrosoftMPI_jll v10.1.4+2
[e98f9f5b] NVTX_jll v3.1.0+2
⌅ [fe0851c0] OpenMPI_jll v4.1.6+0
[458c3c95] OpenSSL_jll v3.0.15+1
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[f50d1b31] Rmath_jll v0.5.1+0
[1e29f10c] demumble_jll v1.3.0+0
[477f73a3] libaec_jll v1.1.2+0
[1317d2d5] oneTBB_jll v2021.12.0+0
[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
[a63ad114] Mmap v1.11.0
[ca575930] NetworkOptions v1.2.0
[44cfe95a] Pkg v1.11.0
[de0858da] Printf v1.11.0
[9a3f8284] Random v1.11.0
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization v1.11.0
[1a1011a3] SharedArrays v1.11.0
[6462fe0b] Sockets v1.11.0
[2f01184e] SparseArrays 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 v0.8.1+2
[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
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`- Output of
versioninfo()
julia> versioninfo()
Julia Version 1.11.1
Commit 8f5b7ca12a (2024-10-16 10:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 16 × 12th Gen Intel(R) Core(TM) i7-12650H
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, alderlake)
Threads: 10 default, 0 interactive, 5 GC (on 16 virtual cores)
Environment:
JULIA_NUM_THREADS = 10
Additional context
Add any other context about the problem here.