# DiffEqFlux Example codes not working

**URL:** <https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383>\
**Category:** New to Julia\
**Tags:** flux\
**Created:** [June 22, 2021, 4:32pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383 "2021-06-22T16:32:01Z")\
**Posts on this page:** 11\
**Page:** 1

<div class="post-metadata">

**Author:** ![Alex0](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alex0/32/21169_2.png) [@Alex0](https://discourse.julialang.org/u/Alex0)\
**Post date:** [June 22, 2021, 4:32pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/1 "2021-06-22T16:32:01Z")

</div>

Hello people,  
I am trying to get into the DiffEqFlux package and neural ODE networks, but the [example code](https://diffeqflux.sciml.ai/stable/examples/neural_ode_flux/) from the documentation of the package is not working for me. It raises the error:

> LoadError: ArgumentError: tuple must be non-empty  
> Stacktrace:  
> [1] first(#unused#::Tuple{})  
> @ Base .\tuple.jl:134  
> [2] \_unapply(t::Nothing, xs::Tuple{})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:163  
> [3] \_unapply(t::Tuple{Nothing}, xs::Tuple{}) (repeats 2 times)  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:167  
> [4] \_unapply(t::Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, xs::Tuple{Nothing, Nothing, Nothing, Vector{Float32}, Vector{Float32}, Nothing})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:168  
> [5] unapply(t::Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, xs::Tuple{Nothing, Nothing, Nothing, Vector{Float32}, Vector{Float32}, Nothing})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:177  
> [6] (::Zygote.var"#188#189"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, Zygote.var"#kw\_zpullback#40"{DiffEqSensitivity.var"#adjoint\_sensitivity\_backpass#179"{Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Tsit5, InterpolatingAdjoint{0, true, Val{:central}, Bool, Bool}, Vector{Float32}, Vector{Float32}, Tuple{}, Colon, NamedTuple{(), Tuple{}}}}})(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:195  
> [7] (::Zygote.var"#1689#back#190"{Zygote.var"#188#189"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, Zygote.var"#kw\_zpullback#40"{DiffEqSensitivity.var"#adjoint\_sensitivity\_backpass#179"{Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Tsit5, InterpolatingAdjoint{0, true, Val{:central}, Bool, Bool}, Vector{Float32}, Vector{Float32}, Tuple{}, Colon, NamedTuple{(), Tuple{}}}}}})(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\ZygoteRules\OjfTt\src\adjoint.jl:59  
> [8] Pullback  
> @ C:\Users\aspec.julia\packages\DiffEqBase\dCe5g\src\solve.jl:70 [inlined]  
> [9] (::typeof(∂(#solve#59)))(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface2.jl:0  
> [10] (::Zygote.var"#188#189"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, typeof(∂(#solve#59))})(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:194  
> [11] (::Zygote.var"#1689#back#190"{Zygote.var"#188#189"{Tuple{NTuple{6, Nothing}, Tuple{Nothing}}, typeof(∂(#solve#59))}})(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\ZygoteRules\OjfTt\src\adjoint.jl:59  
> [12] Pullback  
> @ C:\Users\aspec.julia\packages\DiffEqBase\dCe5g\src\solve.jl:68 [inlined]  
> [13] (::typeof(∂(solve##kw)))(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface2.jl:0  
> [14] Pullback  
> @ D:\Users\aspec\Desktop\Juno\test.jl:23 [inlined]  
> [15] (::typeof(∂(predict\_n\_ode)))(Δ::Matrix{Float32})  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface2.jl:0  
> [16] Pullback  
> @ D:\Users\aspec\Desktop\Juno\test.jl:27 [inlined]  
> [17] (::typeof(∂(loss\_n\_ode)))(Δ::Float32)  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface2.jl:0  
> [18] #188  
> @ C:\Users\aspec.julia\packages\Zygote\zowrf\src\lib\lib.jl:194 [inlined]  
> [19] #1689#back  
> @ C:\Users\aspec.julia\packages\ZygoteRules\OjfTt\src\adjoint.jl:59 [inlined]  
> [20] Pullback  
> @ C:\Users\aspec.julia\packages\Flux\0c9kI\src\optimise\train.jl:102 [inlined]  
> [21] (::Zygote.var"#69#70"{Params, typeof(∂(#38)), Zygote.Context})(Δ::Float32)  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface.jl:255  
> [22] gradient(f::Function, args::Params)  
> @ Zygote C:\Users\aspec.julia\packages\Zygote\zowrf\src\compiler\interface.jl:59  
> [23] macro expansion  
> @ C:\Users\aspec.julia\packages\Flux\0c9kI\src\optimise\train.jl:101 [inlined]  
> [24] macro expansion  
> @ C:\Users\aspec.julia\packages\Juno\n6wyj\src\progress.jl:119 [inlined]  
> [25] train!(loss::Function, ps::Params, data::Base.Iterators.Take{Base.Iterators.Repeated{Tuple{}}}, opt::ADAM; cb::var"#78#80")  
> @ Flux.Optimise C:\Users\aspec.julia\packages\Flux\0c9kI\src\optimise\train.jl:99  
> [26] top-level scope  
> @ D:\Users\aspec\Desktop\Juno\test.jl:48  
> [27] eval  
> @ .\boot.jl:360 [inlined]  
> [28] include\_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  
> @ Base .\loading.jl:1094

I also tried to run this [code](https://github.com/FluxML/model-zoo/blob/da4156b4a9fb0d5907dcb6e21d0e78c72b6122e0/other/diffeq/sde.jl) from this nice [blog post](https://julialang.org/blog/2019/01/fluxdiffeq/) and at first I get `UndefVarError: param not defined`, so I change `p = param([2.2, 1.0, 2.0, 0.4])` to `p = Flux.params([2.2, 1.0, 2.0, 0.4])` and I get `BoundsError: attempt to access Params at index [2]`.

I am aware of this [post](https://discourse.julialang.org/t/fitting-ode-system-to-one-single-data/40737). I used Pkg.update() and after updating, my versions are julia 1.6.1, Diff EqFlux 1.39, Flux 0.12.4, Zygote 0.6.12 and DiffEqSensitivity 6.49.1.  
There are brand new versions for Zygote (6.14) and DiffEqSensitivity (6.50.1) but Pkg does not download these yet for me. Is this a problem of my package versions?

I think there is something wrong with the parameters in both cases?

---

<div class="post-metadata">

**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [June 22, 2021, 8:20pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/2 "2021-06-22T20:20:55Z")

</div>

Oh no. Do `]add DiffEqSensitivity@6.50.1`: does it give you it? Not even if you `]up`? There was a nasty bug in that release of a few days ago that that patch hits, and this bug is what you found. Good thing is that for only like 6 hours did the latest release actually had, bad thing is you hit it 😅

---

<div class="post-metadata">

**Author:** ![Alex0](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alex0/32/21169_2.png) [@Alex0](https://discourse.julialang.org/u/Alex0)\
**Post date:** [June 23, 2021, 11:57am UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/3 "2021-06-23T11:57:02Z")

</div>

Today I was able to just update Zygote and DiffEqSensivity to its latest versions with `Pkg.update()`.  
This fixed it, the code from the documentation works now just fine.  
The code from the blog post doesent but since its from 2019, I’ll just leave it like that and work with the latest documentation.

Thanks Chris!!

---

<div class="post-metadata">

**Author:** ![amit1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amit1/32/25318_2.png) [@amit1](https://discourse.julialang.org/u/amit1)\
**Post date:** [July 26, 2021, 11:30am UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/4 "2021-07-26T11:30:44Z")

</div>

Hi,  
I also had the same issue and I gave the following commands:

```julia
] activate .
] add Flux
] add DifferentialEquations
] add DiffEqFlux
] add Pluto
] up

```

Now when I run the first [Lotka-Volterra ODE](https://diffeqflux.sciml.ai/stable/examples/optimization_ode/) example, I get the following error:

```julia
result_ode

Failed to show value:

MethodError: no method matching has_syms(::SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, GalacticOptim.var"#163#179"{GalacticOptim.var"#161#177"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#167#183"{GalacticOptim.var"#165#181"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#169#185", Nothing, Nothing, Nothing})

Closest candidates are:

has_syms(!Matched::SciMLBase.AbstractSciMLFunction) at /Users/amit/.julia/packages/SciMLBase/cU5k7/src/scimlfunctions.jl:1312

    rows(::SciMLBase.OptimizationSolution{Float64, 1, Vector{Float64}, SciMLBase.OptimizationProblem{true, SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, GalacticOptim.var"#163#179"{GalacticOptim.var"#161#177"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#167#183"{GalacticOptim.var"#165#181"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#169#185", Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Symbol, Main.workspace4.var"#1#2", Tuple{Symbol}, NamedTuple{(:cb,), Tuple{Main.workspace4.var"#1#2"}}}}, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}})@tabletraits.jl:25
    table_data(::SciMLBase.OptimizationSolution{Float64, 1, Vector{Float64}, SciMLBase.OptimizationProblem{true, SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, GalacticOptim.var"#163#179"{GalacticOptim.var"#161#177"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#167#183"{GalacticOptim.var"#165#181"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#169#185", Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Symbol, Main.workspace4.var"#1#2", Tuple{Symbol}, NamedTuple{(:cb,), Tuple{Main.workspace4.var"#1#2"}}}}, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}}, ::IOContext{IOBuffer})@PlutoRunner.jl:953
    show_richest(::IOContext{IOBuffer}, ::Any)@PlutoRunner.jl:641
    var"#sprint_withreturned#28"(::IOContext{Base.DevNull}, ::Int64, ::typeof(Main.PlutoRunner.sprint_withreturned), ::Function, ::SciMLBase.OptimizationSolution{Float64, 1, Vector{Float64}, SciMLBase.OptimizationProblem{true, SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, GalacticOptim.var"#163#179"{GalacticOptim.var"#161#177"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#167#183"{GalacticOptim.var"#165#181"{Vector{Float64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}, Int64}, GalacticOptim.var"#160#176"{SciMLBase.OptimizationFunction{true, GalacticOptim.AutoForwardDiff{nothing}, DiffEqFlux.var"#81#86"{typeof(Main.workspace4.loss)}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Nothing}}, GalacticOptim.var"#169#185", Nothing, Nothing, Nothing}, Vector{Float64}, SciMLBase.NullParameters, Nothing, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Symbol, Main.workspace4.var"#1#2", Tuple{Symbol}, NamedTuple{(:cb,), Tuple{Main.workspace4.var"#1#2"}}}}, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Optim.MultivariateOptimizationResults{Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}, Float64, Vector{Float64}, Float64, Float64, Vector{Optim.OptimizationState{Float64, Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Nothing, Float64, Optim.Flat}}}, Bool, NamedTuple{(:f_limit_reached, :g_limit_reached, :h_limit_reached, :time_limit, :callback, :f_increased), NTuple{6, Bool}}}})@PlutoRunner.jl:591
    format_output_default(::Any, ::Any)@PlutoRunner.jl:515
    #format_output#17@PlutoRunner.jl:532[inlined]
    formatted_result_of(::Base.UUID, ::Bool, ::Nothing, ::Module)@PlutoRunner.jl:448
    top-level scope@none:1

```

Any hints on it? Googling “DiffExEq has\_syms” yielded zero results!

```julia
"DifferentialEquations" v"6.17.2"
"DiffEqFlux" v"1.41.0"
"Plots" v"1.19.3"

```

---

<div class="post-metadata">

**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [July 26, 2021, 12:35pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/5 "2021-07-26T12:35:46Z")

</div>

What version of SciMLBase? This should all work: tests passed this morning.

---

<div class="post-metadata">

**Author:** ![amit1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amit1/32/25318_2.png) [@amit1](https://discourse.julialang.org/u/amit1)\
**Post date:** [July 26, 2021, 12:40pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/6 "2021-07-26T12:40:51Z")

</div>

I think it would be 1.18.2

```julia
(neuralode) pkg> add SciMLBase
   Resolving package versions...
    Updating `~/Programs/lammps/neuralode/Project.toml`
  [0bca4576] + SciMLBase v1.18.2
  No Changes to `~/Programs/lammps/neuralode/Manifest.toml`

```

---

<div class="post-metadata">

**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [July 26, 2021, 1:00pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/7 "2021-07-26T13:00:04Z")

</div>

Julia v1.6? Double check your packages against: [https://github.com/SciML/DiffEqFlux.jl/runs/3160969057?check\_suite\_focus=true#step:6:13](https://github.com/SciML/DiffEqFlux.jl/runs/3160969057?check_suite_focus=true#step:6:13)

---

<div class="post-metadata">

**Author:** ![amit1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amit1/32/25318_2.png) [@amit1](https://discourse.julialang.org/u/amit1)\
**Post date:** [July 26, 2021, 1:02pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/8 "2021-07-26T13:02:44Z")

</div>

Yes. Julia 1.6. I would do a fresh install as per [https://github.com/SciML/DiffEqFlux.jl/runs/3160969057?check\_suite\_focus=true#step:6:13](https://github.com/SciML/DiffEqFlux.jl/runs/3160969057?check_suite_focus=true#step:6:13) and try again

---

<div class="post-metadata">

**Author:** ![amit1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amit1/32/25318_2.png) [@amit1](https://discourse.julialang.org/u/amit1)\
**Post date:** [July 26, 2021, 6:27pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/9 "2021-07-26T18:27:56Z")

</div>

HI, my bad. the marked solution works fine. It was my Pluto environment that defaulted to incompatible versions.

---

<div class="post-metadata">

**Author:** ![amit1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amit1/32/25318_2.png) [@amit1](https://discourse.julialang.org/u/amit1)\
**Post date:** [July 26, 2021, 7:18pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/10 "2021-07-26T19:18:45Z")

</div>

Sorry but I am again getting the same error ☹

Below is the output of `Pkg.installed()`

```julia
Dict

"DifferentialEquations" v"6.17.2"
"IJulia" v"1.23.2"
"DiffEqFlux" v"1.41.0"
"Flux" v"0.12.6"
"DiffEqSensitivity" v"6.55.3"
"GalacticOptim" v"2.0.3"
"SciMLBase" v"1.18.2"
"Pluto" v"0.15.1"

```

This started exactly when I tried [https://diffeqflux.sciml.ai/dev/examples/neural\_ode\_sciml/](https://diffeqflux.sciml.ai/dev/examples/neural_ode_sciml/) example, and installed GalacticOptim. Otherwise first example it ran fine. I checked all versions match that of the Github tests output @ChrisRackauckas linked above. Can someone run this example and confirm? or let me know of exact versions to install?

* * *

curiously, when I exit the notebook, I suddenly get a dump of what i believe is loss values:

```julia
Pluto.run() From worker 3:	568.15894f0434.4206f0332.06467f0250.48984f0187.0734f0152.50137f0136.16827f0126.96706f0121.2905f0117.60257f0115.15193f0113.51723f0112.40828f0111.57703f0110.81408f0109.988945f0109.06599f0108.08015f0107.087494f0106.130066f0105.22804f0104.384094f0103.59345f0102.85079f0102.15321f0101.50064f0100.89501f0100.3388f099.833374f099.37761f098.96815f098.59792f098.257515f097.93651f097.62526f097.31654f097.00604f096.69209f096.374794f096.05442f095.73055f095.402435f095.067535f094.72321f094.36593f093.99072f093.59294f093.16605f092.70265f092.194664f091.63346f091.01227f090.328094f089.58445f088.792534f087.970055f087.13608f086.30306f085.47203f084.63121f083.7587f082.83261f081.838165f080.772545f079.64241f078.46562f077.2562f076.02693f074.770584f073.47433f072.11543f070.68138f069.183754f067.657715f066.102715f064.52064f062.886257f061.199165f059.464417f057.68492f055.909504f054.106533f052.221027f050.292976f048.328747f046.310036f044.12147f041.775806f039.193882f036.26379f032.65502f027.907555f022.354113f018.43349f016.897245f016.335962f015.697074f015.608442f015.2385845f014.764184f014.495843f014.2397375f013.890338f013.045919f012.510047f012.131939f011.95006f011.292672f010.760164f010.418838f010.2662115f09.930472f09.695794f09.522998f09.570238f09.5872555f09.547219f09.48484f09.552379f09.506222f09.486923f09.387326f09.337777f09.250162f09.163964f09.088326f08.967246f08.829781f08.696905f08.596681f08.538674f08.394243f08.31968f08.290894f08.187294f08.159099f08.028077f08.021745f07.977979f07.8815804f07.819726f07.8295503f07.6914396f07.6676316f07.627518f07.527976f07.469681f07.441427f07.3785663f07.2955456f07.2708926f07.178184f07.1534233f07.1166983f07.054399f07.0168014f06.972834f06.9272513f06.8617764f06.826621f06.789806f06.719758f06.701697f06.6581135f06.6142445f06.550403f06.5332766f06.465754f06.4106936f06.3928046f06.349188f06.296569f06.285975f06.238286f06.1910152f06.16512f06.1253705f06.082903f06.0443377f06.011204f06.020672f05.915146f05.898919f05.8771763f05.832835f05.7892246f05.762329f05.746222f05.7536855f05.6681633f05.667557f05.6192584f05.603681f05.5579205f05.527161f05.4997663f05.4583626f05.439699f05.4230833f05.409861f05.3623056f05.337322f05.3116107f05.26598f05.2382646f05.2203703f05.2195477f05.161291f05.1336517f05.1099534f05.070721f05.0339894f05.017902f04.989069f04.9443793f04.923273f04.8770094f04.866687f04.822877f04.8717484f04.765713f04.741526f04.712138f04.6928883f04.691238f04.6152163f04.5952115f04.5558057f04.5217805f04.4913464f04.455991f04.4425898f04.3972635f04.366869f04.3319817f04.2970405f04.2653265f04.2405753f04.2077765f04.1824946f04.1570296f04.119496f04.102591f04.068939f04.0352306f04.023786f03.9831362f03.9697852f03.948108f03.916962f03.8992085f03.8614178f03.8544784f03.83019f03.8080332f03.797446f03.7525935f03.7406178f03.7508569f03.6993494f03.687811f03.6704361f03.6429176f03.6276693f03.600624f03.5798368f03.5632331f03.542536f03.524584f03.5066445f03.4865615f03.4712062f03.4508545f03.4337256f03.4200463f03.3991728f03.3785882f03.3748863f03.357627f03.334887f03.3155105f03.2958634f03.281297f03.2640254f03.250614f03.2333226f03.2149863f03.2039466f03.1877465f03.1728635f03.161281f03.1464067f03.1301765f03.1121116f03.1016512f03.0851889f03.0714684f03.0585163f03.0441897f03.0297153f03.0297153f03.019445f02.9473295f02.8890715f02.7300403f02.6166162f02.534856f02.3499265f01.959265f01.7775936f01.6027204f01.5160251f01.2178062f01.1230245f01.0729015f01.0576413f01.0175136f00.9540978f00.9081272f00.8391925f00.7483134f00.68620694f00.59908384f00.5477955f00.4933506f00.45541283f00.42468095f00.38609543f00.36694038f00.34359246f00.32173973f00.31286559f00.2977528f00.27428943f00.26711512f00.24022837f00.21361437f00.18615705f00.17063197f00.16265129f00.15699944f00.14188226f00.12822522f00.120355316f00.114945725f00.10933838f00.10105974f00.096922345f00.08888299f00.07308835f00.07173807f00.06372737f00.063386895f00.057111f00.05494704f00.05477482f00.054249056f00.054062452f00.052890923f00.052890923f0568.15894f0434.4206f0332.06467f0250.48984f0187.0734f0152.50137f0136.16827f0126.96706f0121.2905f0117.60257f0115.15193f0113.51723f0112.40828f0111.57703f0110.81408f0109.988945f0109.06599f0108.08015f0107.087494f0106.130066f0105.22804f0104.384094f0103.59345f0102.85079f0102.15321f0101.50064f0100.89501f0100.3388f099.833374f099.37761f098.96815f098.59792f098.257515f097.93651f097.62526f097.31654f097.00604f096.69209f096.374794f096.05442f095.73055f095.402435f095.067535f094.72321f094.36593f093.99072f093.59294f093.16605f092.70265f092.194664f091.63346f091.01227f090.328094f089.58445f088.792534f087.970055f087.13608f086.30306f085.47203f084.63121f083.7587f082.83261f081.838165f080.772545f079.64241f078.46562f077.2562f076.02693f074.770584f073.47433f072.11543f070.68138f069.183754f067.657715f066.102715f064.52064f062.886257f061.199165f059.464417f057.68492f055.909504f054.106533f052.221027f050.292976f048.328747f046.310036f044.12147f041.775806f039.193882f036.26379f032.65502f027.907555f022.354113f018.43349f016.897245f016.335962f015.697074f015.608442f015.2385845f014.764184f014.495843f014.2397375f013.890338f013.045919f012.510047f012.131939f011.95006f011.292672f010.760164f010.418838f010.2662115f09.930472f09.695794f09.522998f09.570238f09.5872555f09.547219f09.48484f09.552379f09.506222f09.486923f09.387326f09.337777f09.250162f09.163964f09.088326f08.967246f08.829781f08.696905f08.596681f08.538674f08.394243f08.31968f08.290894f08.187294f08.159099f08.028077f08.021745f07.977979f07.8815804f07.819726f07.8295503f07.6914396f07.6676316f07.627518f07.527976f07.469681f07.441427f07.3785663f07.2955456f07.2708926f07.178184f07.1534233f07.1166983f07.054399f07.0168014f06.972834f06.9272513f06.8617764f06.826621f06.789806f06.719758f06.701697f06.6581135f06.6142445f06.550403f06.5332766f06.465754f06.4106936f06.3928046f06.349188f06.296569f06.285975f06.238286f06.1910152f06.16512f06.1253705f06.082903f06.0443377f06.011204f06.020672f05.915146f05.898919f05.8771763f05.832835f05.7892246f05.762329f05.746222f05.7536855f05.6681633f05.667557f05.6192584f05.603681f05.5579205f05.527161f05.4997663f05.4583626f05.439699f05.4230833f05.409861f05.3623056f05.337322f05.3116107f05.26598f05.2382646f05.2203703f05.2195477f05.161291f05.1336517f05.1099534f05.070721f05.0339894f05.017902f04.989069f04.9443793f04.923273f04.8770094f04.866687f04.822877f04.8717484f04.765713f04.741526f04.712138f04.6928883f04.691238f04.6152163f04.5952115f04.5558057f04.5217805f04.4913464f04.455991f04.4425898f04.3972635f04.366869f04.3319817f04.2970405f04.2653265f04.2405753f04.2077765f04.1824946f04.1570296f04.119496f04.102591f04.068939f04.0352306f04.023786f03.9831362f03.9697852f03.948108f03.916962f03.8992085f03.8614178f03.8544784f03.83019f03.8080332f03.797446f03.7525935f03.7406178f03.7508569f03.6993494f03.687811f03.6704361f03.6429176f03.6276693f03.600624f03.5798368f03.5632331f03.542536f03.524584f03.5066445f03.4865615f03.4712062f03.4508545f03.4337256f03.4200463f03.3991728f03.3785882f03.3748863f03.357627f03.334887f03.3155105f03.2958634f03.281297f03.2640254f03.250614f03.2333226f03.2149863f03.2039466f03.1877465f03.1728635f03.161281f03.1464067f03.1301765f03.1121116f03.1016512f03.0851889f03.0714684f03.0585163f03.0441897f03.0297153f03.0297153f03.019445f02.9473295f02.8890715f02.7300403f02.6166162f02.534856f02.3499265f01.959265f01.7775936f01.6027204f01.5160251f01.2178062f01.1230245f01.0729015f01.0576413f01.0175136f00.9540978f00.9081272f00.8391925f00.7483134f00.68620694f00.59908384f00.5477955f00.4933506f00.45541283f00.42468095f00.38609543f00.36694038f00.34359246f00.32173973f00.31286559f00.2977528f00.27428943f00.26711512f00.24022837f00.21361437f00.18615705f00.17063197f00.16265129f00.15699944f00.14188226f00.12822522f00.120355316f00.114945725f00.10933838f00.10105974f00.096922345f00.08888299f00.07308835f00.07173807f00.06372737f00.063386895f00.057111f00.05494704f00.05477482f00.054249056f00.054062452f00.052890923f00.052890923f0

```

And also following warning:

```julia
      From worker 3:	WARNING: both Flux and Iterators export "flatten"; uses of it in module DiffEqFlux must be qualified
      From worker 3:	WARNING: both Flux and Distributions export "params"; uses of it in module DiffEqFlux must be qualified

```

If this is of any help? I think some collision of functions names?

---

<div class="post-metadata">

**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [July 26, 2021, 9:10pm UTC](https://discourse.julialang.org/t/diffeqflux-example-codes-not-working/63383/11 "2021-07-26T21:10:00Z")

</div>

This doesn’t seem like the same issue. Open a new thread. Sounds like a Pluto thing.