I just ran all of the code in the blog in order. It seemed to work just fine. The code that I ran was:
using DifferentialEquations
function lotka_volterra(du,u,p,t)
x, y = u
α, β, δ, γ = p
du[1] = dx = α*x - β*x*y
du[2] = dy = -δ*y + γ*x*y
end
u0 = [1.0,1.0]
tspan = (0.0,10.0)
p = [1.5,1.0,3.0,1.0]
prob = ODEProblem(lotka_volterra,u0,tspan,p)
sol = solve(prob)
using Plots
plot(sol)
u0_f(p,t0) = [p[2],p[4]]
tspan_f(p) = (0.0,10*p[4])
p = [1.5,1.0,3.0,1.0]
prob = ODEProblem(lotka_volterra,u0_f,tspan_f,p)
p = [1.5,1.0,3.0,1.0]
prob = ODEProblem(lotka_volterra,u0,tspan,p)
sol = solve(prob,Tsit5(),saveat=0.1)
A = sol[1,:] # length 101 vector
plot(sol)
t = 0:0.1:10.0
scatter!(t,A)
using Flux, DiffEqFlux
p = [2.2, 1.0, 2.0, 0.4] # Initial Parameter Vector
params = Flux.params(p)
function predict_rd() # Our 1-layer "neural network"
solve(prob,Tsit5(),p=p,saveat=0.1)[1,:] # override with new parameters
end
loss_rd() = sum(abs2,x-1 for x in predict_rd()) # loss function
data = Iterators.repeated((), 100)
opt = ADAM(0.1)
cb = function () #callback function to observe training
display(loss_rd())
# using `remake` to re-create our `prob` with current parameters `p`
display(plot(solve(remake(prob,p=p),Tsit5(),saveat=0.1),ylim=(0,6)))
end
# Display the ODE with the initial parameter values.
cb()
Flux.train!(loss_rd, params, data, opt, cb = cb)
using ParameterizedFunctions
using Sundials
rober = @ode_def Rober begin
dy₁ = -k₁*y₁+k₃*y₂*y₃
dy₂ = k₁*y₁-k₂*y₂^2-k₃*y₂*y₃
dy₃ = k₂*y₂^2
end k₁ k₂ k₃
prob = ODEProblem(rober,[1.0;0.0;0.0],(0.0,1e11),(0.04,3e7,1e4))
solve(prob,CVODE_Adams())
sol = solve(prob,KenCarp4())
using Plots
plot(sol,xscale=:log10,tspan=(0.1,1e11))
function delay_lotka_volterra(du,u,h,p,t)
x, y = u
α, β, δ, γ = p
du[1] = dx = (α - β*y)*h(p,t-0.1)[1]
du[2] = dy = (δ*x - γ)*y
end
h(p,t) = ones(eltype(p),2)
prob = DDEProblem(delay_lotka_volterra,[1.0,1.0],h,(0.0,10.0),constant_lags=[0.1])
p = [2.2, 1.0, 2.0, 0.4]
params = Flux.params(p)
using SciMLSensitivity
function predict_rd_dde()
solve(prob,MethodOfSteps(Tsit5()),p=p,sensealg=TrackerAdjoint(),saveat=0.1)[1,:]
end
loss_rd_dde() = sum(abs2,x-1 for x in predict_rd_dde())
loss_rd_dde()
function lotka_volterra_noise(du,u,p,t)
du[1] = 0.1u[1]
du[2] = 0.1u[2]
end
prob = SDEProblem(lotka_volterra,lotka_volterra_noise,[1.0,1.0],(0.0,5.0))
p = [2.2, 1.0, 2.0, 0.4]
params = Flux.params(p)
function predict_sde()
solve(prob,SOSRI(),p=p,sensealg=TrackerAdjoint(),saveat=0.1,
abstol=1e-1,reltol=1e-1)[1,:]
end
loss_rd_sde() = sum(abs2,x-1 for x in predict_sde())
loss_rd_sde()
data = Iterators.repeated((), 100)
opt = ADAM(0.1)
cb = function ()
display(loss_rd_sde())
display(plot(solve(remake(prob,p=p),SOSRI(),saveat=0.1),ylim=(0,6)))
end
# Display the ODE with the current parameter values.
cb()
Flux.train!(loss_rd_sde, params, data, opt, cb = cb)
dudt = Chain(Dense(2,50,tanh),Dense(50,2))
tspan = (0.0f0,25.0f0)
node = NeuralODE(dudt,tspan,Tsit5(),saveat=0.1)
u0 = Float32[2.; 0.]
datasize = 30
tspan = (0.0f0,1.5f0)
function trueODEfunc(du,u,p,t)
true_A = [-0.1 2.0; -2.0 -0.1]
du .= ((u.^3)'true_A)'
end
t = range(tspan[1],tspan[2],length=datasize)
prob = ODEProblem(trueODEfunc,u0,tspan)
ode_data = Array(solve(prob,Tsit5(),saveat=t))
dudt = Chain(x -> x.^3,
Dense(2,50,tanh),
Dense(50,2))
n_ode = NeuralODE(dudt,tspan,Tsit5(),saveat=t,reltol=1e-7,abstol=1e-9)
ps = Flux.params(n_ode)
pred = n_ode(u0) # Get the prediction using the correct initial condition
scatter(t,ode_data[1,:],label="data")
scatter!(t,pred[1,:],label="prediction")
function predict_n_ode()
n_ode(u0)
end
loss_n_ode() = sum(abs2,ode_data .- predict_n_ode())
data = Iterators.repeated((), 1000)
opt = ADAM(0.1)
cb = function () #callback function to observe training
display(loss_n_ode())
# plot current prediction against data
cur_pred = predict_n_ode()
pl = scatter(t,ode_data[1,:],label="data")
scatter!(pl,t,cur_pred[1,:],label="prediction")
display(plot(pl))
end
# Display the ODE with the initial parameter values.
cb()
Flux.train!(loss_n_ode, ps, data, opt, cb = cb)
which produced no errors. This was done with package versions:
(@v1.8) pkg> st
Status `C:\Users\accou\.julia\environments\v1.8\Project.toml`
[aae7a2af] DiffEqFlux v1.52.0
[055956cb] DiffEqPhysics v3.10.0 `C:\Users\accou\.julia\dev\DiffEqPhysics`
[0c46a032] DifferentialEquations v7.6.0
[587475ba] Flux v0.13.9
[98e50ef6] JuliaFormatter v1.0.16
[1dea7af3] OrdinaryDiffEq v6.35.0
[65888b18] ParameterizedFunctions v5.15.0
[91a5bcdd] Plots v1.36.6
[1ed8b502] SciMLSensitivity v7.11.1
[c3572dad] Sundials v4.11.1
and manifest:
(@v1.8) pkg> st
Status `C:\Users\accou\.julia\environments\v1.8\Project.toml`
[aae7a2af] DiffEqFlux v1.52.0
[055956cb] DiffEqPhysics v3.10.0 `C:\Users\accou\.julia\dev\DiffEqPhysics`
[0c46a032] DifferentialEquations v7.6.0
[587475ba] Flux v0.13.9
[98e50ef6] JuliaFormatter v1.0.16
[1dea7af3] OrdinaryDiffEq v6.35.0
[65888b18] ParameterizedFunctions v5.15.0
[91a5bcdd] Plots v1.36.6
[1ed8b502] SciMLSensitivity v7.11.1
[c3572dad] Sundials v4.11.1
(@v1.8) pkg> st -m
Status `C:\Users\accou\.julia\environments\v1.8\Manifest.toml`
[c3fe647b] AbstractAlgebra v0.27.7
[621f4979] AbstractFFTs v1.2.1
[1520ce14] AbstractTrees v0.4.3
[7d9f7c33] Accessors v0.1.22
[79e6a3ab] Adapt v3.4.0
[dce04be8] ArgCheck v2.3.0
[ec485272] ArnoldiMethod v0.2.0
[4fba245c] ArrayInterface v6.0.24
[30b0a656] ArrayInterfaceCore v0.1.26
[6ba088a2] ArrayInterfaceGPUArrays v0.2.2
[015c0d05] ArrayInterfaceOffsetArrays v0.1.7
[b0d46f97] ArrayInterfaceStaticArrays v0.1.5
[dd5226c6] ArrayInterfaceStaticArraysCore v0.1.3
[a2b0951a] ArrayInterfaceTracker v0.1.1
[4c555306] ArrayLayouts v0.8.15
[a9b6321e] Atomix v0.1.0
[15f4f7f2] AutoHashEquals v0.2.0
⌅ [ab4f0b2a] BFloat16s v0.2.0
[aae01518] BandedMatrices v0.17.9
[198e06fe] BangBang v0.3.37
[9718e550] Baselet v0.1.1
[e2ed5e7c] Bijections v0.1.4
[d1d4a3ce] BitFlags v0.1.7
[62783981] BitTwiddlingConvenienceFunctions v0.1.5
[764a87c0] BoundaryValueDiffEq v2.10.0
[fa961155] CEnum v0.4.2
[2a0fbf3d] CPUSummary v0.1.30
[00ebfdb7] CSTParser v3.3.6
[052768ef] CUDA v3.12.0
[72cfdca4] CUDAKernels v0.4.3
[49dc2e85] Calculus v0.5.1
[7057c7e9] Cassette v0.3.11
[082447d4] ChainRules v1.45.0
[d360d2e6] ChainRulesCore v1.15.6
[9e997f8a] ChangesOfVariables v0.1.4
[fb6a15b2] CloseOpenIntervals v0.1.11
[944b1d66] CodecZlib v0.7.0
[35d6a980] ColorSchemes v3.20.0
[3da002f7] ColorTypes v0.11.4
[c3611d14] ColorVectorSpace v0.9.9
[5ae59095] Colors v0.12.8
[861a8166] Combinatorics v1.0.2
[a80b9123] CommonMark v0.8.7
[38540f10] CommonSolve v0.2.3
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v4.5.0
[b0b7db55] ComponentArrays v0.13.4
[b152e2b5] CompositeTypes v0.1.3
[a33af91c] CompositionsBase v0.1.1
[88cd18e8] ConsoleProgressMonitor v0.1.2
[187b0558] ConstructionBase v1.4.1
[6add18c4] ContextVariablesX v0.1.3
[d38c429a] Contour v0.6.2
[adafc99b] CpuId v0.3.1
[a8cc5b0e] Crayons v4.1.1
[9a962f9c] DataAPI v1.13.0
[82cc6244] DataInterpolations v3.10.1
[864edb3b] DataStructures v0.18.13
[e2d170a0] DataValueInterfaces v1.0.0
[244e2a9f] DefineSingletons v0.1.2
[bcd4f6db] DelayDiffEq v5.40.3
[b429d917] DensityInterface v0.4.0
[2b5f629d] DiffEqBase v6.109.0
[459566f4] DiffEqCallbacks v2.24.3
[aae7a2af] DiffEqFlux v1.52.0
[77a26b50] DiffEqNoiseProcess v5.14.2
[055956cb] DiffEqPhysics v3.10.0 `C:\Users\accou\.julia\dev\DiffEqPhysics`
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.12.2
[0c46a032] DifferentialEquations v7.6.0
[b4f34e82] Distances v0.10.7
[31c24e10] Distributions v0.25.79
[ced4e74d] DistributionsAD v0.6.43
[ffbed154] DocStringExtensions v0.9.2
[5b8099bc] DomainSets v0.5.14
[fa6b7ba4] DualNumbers v0.6.8
[7c1d4256] DynamicPolynomials v0.4.5
[da5c29d0] EllipsisNotation v1.6.0
[4e289a0a] EnumX v1.0.4
[7da242da] Enzyme v0.10.12
[f151be2c] EnzymeCore v0.1.0
[d4d017d3] ExponentialUtilities v1.22.0
[e2ba6199] ExprTools v0.1.8
[c87230d0] FFMPEG v0.4.1
[cc61a311] FLoops v0.2.1
[b9860ae5] FLoopsBase v0.1.1
[7034ab61] FastBroadcast v0.2.3
[9aa1b823] FastClosures v0.3.2
[29a986be] FastLapackInterface v1.2.7
[1a297f60] FillArrays v0.13.5
[6a86dc24] FiniteDiff v2.17.0
[53c48c17] FixedPointNumbers v0.8.4
[587475ba] Flux v0.13.9
[9c68100b] FoldsThreads v0.1.1
[59287772] Formatting v0.4.2
[f6369f11] ForwardDiff v0.10.32
[069b7b12] FunctionWrappers v1.1.3
[77dc65aa] FunctionWrappersWrappers v0.1.1
⌅ [d9f16b24] Functors v0.3.0
[0c68f7d7] GPUArrays v8.5.0
[46192b85] GPUArraysCore v0.1.2
[61eb1bfa] GPUCompiler v0.16.7
[28b8d3ca] GR v0.71.1
[c145ed77] GenericSchur v0.5.3
[c27321d9] Glob v1.3.0
[86223c79] Graphs v1.7.4
[42e2da0e] Grisu v1.0.2
[0b43b601] Groebner v0.2.11
[d5909c97] GroupsCore v0.4.0
[cd3eb016] HTTP v1.5.5
[3e5b6fbb] HostCPUFeatures v0.1.13
[34004b35] HypergeometricFunctions v0.3.11
[7869d1d1] IRTools v0.4.7
[615f187c] IfElse v0.1.1
[d25df0c9] Inflate v0.1.3
[83e8ac13] IniFile v0.5.1
[22cec73e] InitialValues v0.3.1
[18e54dd8] IntegerMathUtils v0.1.0
[8197267c] IntervalSets v0.7.4
[3587e190] InverseFunctions v0.1.8
[92d709cd] IrrationalConstants v0.1.1
[42fd0dbc] IterativeSolvers v0.9.2
[82899510] IteratorInterfaceExtensions v1.0.0
[1019f520] JLFzf v0.1.5
[692b3bcd] JLLWrappers v1.4.1
[682c06a0] JSON v0.21.3
[98e50ef6] JuliaFormatter v1.0.16
[b14d175d] JuliaVariables v0.2.4
[ccbc3e58] JumpProcesses v9.2.3
[ef3ab10e] KLU v0.4.0
[63c18a36] KernelAbstractions v0.8.6
[ba0b0d4f] Krylov v0.9.0
[0b1a1467] KrylovKit v0.6.0
[929cbde3] LLVM v4.14.1
[b964fa9f] LaTeXStrings v1.3.0
[2ee39098] LabelledArrays v1.12.5
[984bce1d] LambertW v0.4.5
[23fbe1c1] Latexify v0.15.17
[10f19ff3] LayoutPointers v0.1.12
[50d2b5c4] Lazy v0.15.1
[0fc2ff8b] LeastSquaresOptim v0.8.3
[1d6d02ad] LeftChildRightSiblingTrees v0.2.0
[2d8b4e74] LevyArea v1.0.0
[d3d80556] LineSearches v7.2.0
[7ed4a6bd] LinearSolve v1.31.0
[2ab3a3ac] LogExpFunctions v0.3.19
⌅ [e6f89c97] LoggingExtras v0.4.9
[bdcacae8] LoopVectorization v0.12.141
[b2108857] Lux v0.4.36
[bb33d45b] LuxCore v0.1.0
[82251201] LuxLib v0.1.7
[d8e11817] MLStyle v0.4.16
[f1d291b0] MLUtils v0.3.1
[1914dd2f] MacroTools v0.5.10
[d125e4d3] ManualMemory v0.1.8
[739be429] MbedTLS v1.1.7
[442fdcdd] Measures v0.3.2
[c03570c3] Memoize v0.4.4
[e9d8d322] Metatheory v1.3.5
[128add7d] MicroCollections v0.1.3
[e1d29d7a] Missings v1.0.2
[961ee093] ModelingToolkit v8.36.0
[46d2c3a1] MuladdMacro v0.2.4
[102ac46a] MultivariatePolynomials v0.4.6
[d8a4904e] MutableArithmetics v1.1.0
[d41bc354] NLSolversBase v7.8.3
[2774e3e8] NLsolve v4.5.1
[872c559c] NNlib v0.8.11
[a00861dc] NNlibCUDA v0.2.4
[77ba4419] NaNMath v1.0.1
[71a1bf82] NameResolution v0.1.5
[d8793406] ObjectFile v0.3.7
[6fe1bfb0] OffsetArrays v1.12.8
[0b1bfda6] OneHotArrays v0.2.1
[4d8831e6] OpenSSL v1.3.2
[429524aa] Optim v1.7.4
[3bd65402] Optimisers v0.2.13
[7f7a1694] Optimization v3.9.4
[253f991c] OptimizationFlux v0.1.2
[36348300] OptimizationOptimJL v0.1.5
[42dfb2eb] OptimizationOptimisers v0.1.1
[500b13db] OptimizationPolyalgorithms v0.1.1
[bac558e1] OrderedCollections v1.4.1
[1dea7af3] OrdinaryDiffEq v6.35.0
[90014a1f] PDMats v0.11.16
[65888b18] ParameterizedFunctions v5.15.0
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.5.1
[b98c9c47] Pipe v1.3.0
[ccf2f8ad] PlotThemes v3.1.0
[995b91a9] PlotUtils v1.3.1
[91a5bcdd] Plots v1.36.6
[e409e4f3] PoissonRandom v0.4.3
[f517fe37] Polyester v0.6.18
[1d0040c9] PolyesterWeave v0.1.11
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.4.5
[21216c6a] Preferences v1.3.0
[8162dcfd] PrettyPrint v0.2.0
[27ebfcd6] Primes v0.5.3
[33c8b6b6] ProgressLogging v0.1.4
[92933f4c] ProgressMeter v1.7.2
[1fd47b50] QuadGK v2.6.0
[74087812] Random123 v1.6.0
[fb686558] RandomExtensions v0.4.3
[e6cf234a] RandomNumbers v1.5.3
[c1ae055f] RealDot v0.1.0
[3cdcf5f2] RecipesBase v1.3.2
[01d81517] RecipesPipeline v0.6.11
[731186ca] RecursiveArrayTools v2.32.3
[f2c3362d] RecursiveFactorization v0.2.12
[189a3867] Reexport v1.2.2
[42d2dcc6] Referenceables v0.1.2
[29dad682] RegularizationTools v0.6.0
[05181044] RelocatableFolders v1.0.0
[ae029012] Requires v1.3.0
[ae5879a3] ResettableStacks v1.1.1
[37e2e3b7] ReverseDiff v1.14.4
[79098fc4] Rmath v0.7.0
[7e49a35a] RuntimeGeneratedFunctions v0.5.5
[3cdde19b] SIMDDualNumbers v0.1.1
[94e857df] SIMDTypes v0.1.0
[476501e8] SLEEFPirates v0.6.37
[0bca4576] SciMLBase v1.77.0
[1ed8b502] SciMLSensitivity v7.11.1
[6c6a2e73] Scratch v1.1.1
[efcf1570] Setfield v1.1.1
[605ecd9f] ShowCases v0.1.0
[992d4aef] Showoff v1.0.3
[777ac1f9] SimpleBufferStream v1.1.0
[727e6d20] SimpleNonlinearSolve v0.1.2
[699a6c99] SimpleTraits v0.9.4
[66db9d55] SnoopPrecompile v1.0.1
[a2af1166] SortingAlgorithms v1.1.0
[47a9eef4] SparseDiffTools v1.29.0
[276daf66] SpecialFunctions v2.1.7
[171d559e] SplittablesBase v0.1.15
[aedffcd0] Static v0.8.2
[90137ffa] StaticArrays v1.5.11
[1e83bf80] StaticArraysCore v1.4.0
[82ae8749] StatsAPI v1.5.0
[2913bbd2] StatsBase v0.33.21
[4c63d2b9] StatsFuns v1.1.0
[9672c7b4] SteadyStateDiffEq v1.9.1
[789caeaf] StochasticDiffEq v6.57.3
⌅ [7792a7ef] StrideArraysCore v0.3.17
[09ab397b] StructArrays v0.6.13
[53d494c1] StructIO v0.3.0
[c3572dad] Sundials v4.11.1
[d1185830] SymbolicUtils v0.19.11
[0c5d862f] Symbolics v4.13.0
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.10.0
[62fd8b95] TensorCore v0.1.1
⌅ [8ea1fca8] TermInterface v0.2.3
[5d786b92] TerminalLoggers v0.1.6
[8290d209] ThreadingUtilities v0.5.0
[ac1d9e8a] ThreadsX v0.1.11
[a759f4b9] TimerOutputs v0.5.22
[0796e94c] Tokenize v0.5.24
[9f7883ad] Tracker v0.2.22
[3bb67fe8] TranscodingStreams v0.9.10
[28d57a85] Transducers v0.4.75
[a2a6695c] TreeViews v0.3.0
[d5829a12] TriangularSolve v0.1.15
[410a4b4d] Tricks v0.1.6
[5c2747f8] URIs v1.4.1
[3a884ed6] UnPack v1.0.2
[d9a01c3f] Underscores v3.0.0
[1cfade01] UnicodeFun v0.4.1
[1986cc42] Unitful v1.12.2
[013be700] UnsafeAtomics v0.2.1
[d80eeb9a] UnsafeAtomicsLLVM v0.1.0
[41fe7b60] Unzip v0.2.0
[3d5dd08c] VectorizationBase v0.21.56
[19fa3120] VertexSafeGraphs v0.2.0
[e88e6eb3] Zygote v0.6.51
[700de1a5] ZygoteRules v0.2.2
[6e34b625] Bzip2_jll v1.0.8+0
[83423d85] Cairo_jll v1.16.1+1
⌅ [7cc45869] Enzyme_jll v0.0.43+0
[2e619515] Expat_jll v2.4.8+0
[b22a6f82] FFMPEG_jll v4.4.2+2
[a3f928ae] Fontconfig_jll v2.13.93+0
[d7e528f0] FreeType2_jll v2.10.4+0
[559328eb] FriBidi_jll v1.0.10+0
[0656b61e] GLFW_jll v3.3.8+0
[d2c73de3] GR_jll v0.71.1+0
[78b55507] Gettext_jll v0.21.0+0
[7746bdde] Glib_jll v2.74.0+1
[3b182d85] Graphite2_jll v1.3.14+0
[2e76f6c2] HarfBuzz_jll v2.8.1+1
[aacddb02] JpegTurbo_jll v2.1.2+0
[c1c5ebd0] LAME_jll v3.100.1+0
[88015f11] LERC_jll v3.0.0+1
[dad2f222] LLVMExtra_jll v0.0.16+0
[dd4b983a] LZO_jll v2.10.1+0
⌅ [e9f186c6] Libffi_jll v3.2.2+1
[d4300ac3] Libgcrypt_jll v1.8.7+0
[7e76a0d4] Libglvnd_jll v1.6.0+0
[7add5ba3] Libgpg_error_jll v1.42.0+0
[94ce4f54] Libiconv_jll v1.16.1+1
[4b2f31a3] Libmount_jll v2.35.0+0
[89763e89] Libtiff_jll v4.4.0+0
[38a345b3] Libuuid_jll v2.36.0+0
[e7412a2a] Ogg_jll v1.3.5+1
[458c3c95] OpenSSL_jll v1.1.19+0
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[91d4177d] Opus_jll v1.3.2+0
[30392449] Pixman_jll v0.40.1+0
[ea2cea3b] Qt5Base_jll v5.15.3+2
[f50d1b31] Rmath_jll v0.3.0+0
[fb77eaff] Sundials_jll v5.2.1+0
[a2964d1f] Wayland_jll v1.19.0+0
[2381bf8a] Wayland_protocols_jll v1.25.0+0
[02c8fc9c] XML2_jll v2.9.14+0
[aed1982a] XSLT_jll v1.1.34+0
[4f6342f7] Xorg_libX11_jll v1.6.9+4
[0c0b7dd1] Xorg_libXau_jll v1.0.9+4
[935fb764] Xorg_libXcursor_jll v1.2.0+4
[a3789734] Xorg_libXdmcp_jll v1.1.3+4
[1082639a] Xorg_libXext_jll v1.3.4+4
[d091e8ba] Xorg_libXfixes_jll v5.0.3+4
[a51aa0fd] Xorg_libXi_jll v1.7.10+4
[d1454406] Xorg_libXinerama_jll v1.1.4+4
[ec84b674] Xorg_libXrandr_jll v1.5.2+4
[ea2f1a96] Xorg_libXrender_jll v0.9.10+4
[14d82f49] Xorg_libpthread_stubs_jll v0.1.0+3
[c7cfdc94] Xorg_libxcb_jll v1.13.0+3
[cc61e674] Xorg_libxkbfile_jll v1.1.0+4
[12413925] Xorg_xcb_util_image_jll v0.4.0+1
[2def613f] Xorg_xcb_util_jll v0.4.0+1
[975044d2] Xorg_xcb_util_keysyms_jll v0.4.0+1
[0d47668e] Xorg_xcb_util_renderutil_jll v0.3.9+1
[c22f9ab0] Xorg_xcb_util_wm_jll v0.4.1+1
[35661453] Xorg_xkbcomp_jll v1.4.2+4
[33bec58e] Xorg_xkeyboard_config_jll v2.27.0+4
[c5fb5394] Xorg_xtrans_jll v1.4.0+3
[3161d3a3] Zstd_jll v1.5.2+0
⌅ [214eeab7] fzf_jll v0.29.0+0
[a4ae2306] libaom_jll v3.4.0+0
[0ac62f75] libass_jll v0.15.1+0
[f638f0a6] libfdk_aac_jll v2.0.2+0
[b53b4c65] libpng_jll v1.6.38+0
[f27f6e37] libvorbis_jll v1.3.7+1
[1270edf5] x264_jll v2021.5.5+0
[dfaa095f] x265_jll v3.5.0+0
[d8fb68d0] xkbcommon_jll v1.4.1+0
[0dad84c5] ArgTools v1.1.1
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[f43a241f] Downloads v1.6.0
[7b1f6079] FileWatching
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[4af54fe1] LazyArtifacts
[b27032c2] LibCURL v0.6.3
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[ca575930] NetworkOptions v1.2.0
[44cfe95a] Pkg v1.8.0
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML v1.0.0
[a4e569a6] Tar v1.10.1
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[e66e0078] CompilerSupportLibraries_jll v0.5.2+0
[deac9b47] LibCURL_jll v7.84.0+0
[29816b5a] LibSSH2_jll v1.10.2+0
[c8ffd9c3] MbedTLS_jll v2.28.0+0
[14a3606d] MozillaCACerts_jll v2022.2.1
[4536629a] OpenBLAS_jll v0.3.20+0
[05823500] OpenLibm_jll v0.8.1+0
[efcefdf7] PCRE2_jll v10.40.0+0
[bea87d4a] SuiteSparse_jll v5.10.1+0
[83775a58] Zlib_jll v1.2.12+3
[8e850b90] libblastrampoline_jll v5.1.1+0
[8e850ede] nghttp2_jll v1.48.0+0
[3f19e933] p7zip_jll v17.4.0+0
Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`
on the computer:
julia> versioninfo()
Julia Version 1.8.2
Commit 36034abf26 (2022-09-29 15:21 UTC)
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 8 × Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-13.0.1 (ORCJIT, skylake)
Threads: 1 on 8 virtual cores
Environment:
JULIA_EDITOR = code
JULIA_NUM_THREADS =
Could you similarly share what you ran?