# Poisson Equation example of NeuralPDE.jl throws hash error
**URL:** https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071
**Category:** Machine Learning
**Tags:** question
**Created:** [March 18, 2022, 8:43am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071 "2022-03-18T08:43:38Z")
**Posts on this page:** 18
**Page:** 1
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 8:43am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/1 "2022-03-18T08:43:38Z")
I am new to the PINN topic and therefore I just wanted to study through the tutorial of [NeuralPDE.jl](https://neuralpde.sciml.ai/dev/). I tried several examples from the tutorial. Sadly none of it works and I get the same error for each example. I am using Julia Version 1.7.2.
For example, the error I get for the [Poisson equation](https://neuralpde.sciml.ai/dev/pinn/poisson/) is:
```julia
ERROR: MethodError: no method matching hash(::Sym{Real, Base.ImmutableDict{DataType, Any}}, ::UInt64)
Closest candidates are:
hash(::Union{SymbolicUtils.Add, SymbolicUtils.Mul}, ::UInt64) at C:\Users\K\.julia\packages\SymbolicUtils\v2ZkM\src\types.jl:1119
hash(::Sym, ::UInt32) at C:\Users\K\.julia\packages\SymbolicUtils\v2ZkM\src\types.jl:152
hash(::PolyForm, ::UInt64) at C:\Users\K\.julia\packages\SymbolicUtils\v2ZkM\src\polyform.jl:43
...
Stacktrace:
[1] hash(D::Differential, u::UInt32)
@ Symbolics C:\Users\K\.julia\packages\Symbolics\1OrKJ\src\diff.jl:51
[2] hash(x::Function)
@ Base .\hashing.jl:20
[3] hashindex
@ .\dict.jl:169 [inlined]
[4] ht_keyindex
@ .\dict.jl:284 [inlined]
[5] in(key::Function, v::Base.KeySet{Symbol, Dict{Symbol, Int32}})
@ Base .\dict.jl:553
[6] _transform_expression(ex::Expr, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, chain::FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, eltypeθ::Type, strategy::GridTraining, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative_::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, initθ::Vector{Float64}; is_integral::Bool, dict_transformation_vars::Nothing, transformation_vars::Nothing)
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:247
[7] _transform_expression(ex::Expr, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, chain::FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, eltypeθ::Type, strategy::GridTraining, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative_::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, initθ::Vector{Float64}; is_integral::Bool, dict_transformation_vars::Nothing, transformation_vars::Nothing)
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:360
[8] transform_expression(ex::Expr, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, chain::FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, eltypeθ::Type, strategy::GridTraining, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, initθ::Vector{Float64}; is_integral::Bool, dict_transformation_vars::Nothing, transformation_vars::Nothing)
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:205
[9] transform_expression(ex::Expr, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, chain::Function, eltypeθ::Type, strategy::GridTraining, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, initθ::Vector{Float64})
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:204
[10] parse_equation(eq::Equation, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, chain::Function, eltypeθ::Type, strategy::GridTraining, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, initθ::Vector{Float64})
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:402
[11] build_symbolic_loss_function(eqs::Equation, indvars::Vector{Symbol}, depvars::Vector{Symbol}, dict_indvars::Dict{Symbol, Int32}, dict_depvars::Dict{Symbol, Int32}, dict_depvar_input::Dict{Symbol, Vector{Symbol}}, phi::NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, derivative::NeuralPDE.var"#286#287", integral::NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, chain::FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, initθ::Vector{Float64}, strategy::GridTraining; eq_params::SciMLBase.NullParameters, param_estim::Bool, default_p::Nothing, bc_indvars::Vector{Any}, integrand::Nothing, dict_transformation_vars::Nothing, transformation_vars::Nothing, integrating_depvars::Vector{Symbol})
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:509
[12] #build_loss_function#184
@ C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:630 [inlined]
[13] #346
@ .\none:0 [inlined]
[14] iterate
@ .\generator.jl:47 [inlined]
[15] collect(itr::Base.Generator{Base.Iterators.Zip{Tuple{Vector{Equation}, Vector{Vector{Any}}, Vector{Vector{Symbol}}}}, NeuralPDE.var"#346#362"{NeuralPDE.var"#288#295"{GridTraining, NeuralPDE.var"#288#289#296"{NeuralPDE.var"#286#287"}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}}, GridTraining, NeuralPDE.var"#286#287", NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, Vector{Float64}, FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, Dict{Symbol, Vector{Symbol}}, Dict{Symbol, Int32}, Dict{Symbol, Int32}, Vector{Symbol}, Vector{Symbol}, Bool, Nothing, SciMLBase.NullParameters}}) @ Base .\array.jl:724
[16] discretize(pde_system::PDESystem, discretization::PhysicsInformedNN{true, FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, GridTraining, Vector{Float64}, NeuralPDE.var"#280#282"{FastChain{Tuple{FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(sigmoid_fast), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}, FastDense{typeof(identity), DiffEqFlux.var"#initial_params#94"{Vector{Float32}}, Nothing}}}, UnionAll}, NeuralPDE.var"#286#287", Bool, Nothing, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}})
@ NeuralPDE C:\Users\K\.julia\packages\NeuralPDE\j8LaF\src\pinns_pde_solve.jl:1133
[17] top-level scope
@ c:\Users\K\Desktop\PINN\test.jl:30
```
Is there anything to fix this issue?
---
### Author:  [@nilshg](https://discourse.julialang.org/u/nilshg)
#### Post date: [March 18, 2022, 10:44am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/2 "2022-03-18T10:44:46Z")
Works for me - probably you’re using different package versions than the one the docs are written for?
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 10:56am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/3 "2022-03-18T10:56:45Z")
Maybe. I just updated every package. Where can I find out which version of each package was used in the tutorial?
---
### Author:  [@nilshg](https://discourse.julialang.org/u/nilshg)
#### Post date: [March 18, 2022, 11:07am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/4 "2022-03-18T11:07:18Z")
What’s the output of `] st`?
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 11:25am UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/5 "2022-03-18T11:25:43Z")
> [@nilshg](#):
>
> ] st
This is the output I get.
```julia
[667455a9] Cubature v1.5.1
[aae7a2af] DiffEqFlux v1.45.2
[9fdde737] DiffEqOperators v4.41.0
[0c46a032] DifferentialEquations v7.1.0
[5b8099bc] DomainSets v0.5.9
[587475ba] Flux v0.12.9
[a75be94c] GalacticOptim v2.4.0
[961ee093] ModelingToolkit v8.5.2
[315f7962] NeuralPDE v4.5.1
[429524aa] Optim v1.6.2
[1dea7af3] OrdinaryDiffEq v6.7.1
[91a5bcdd] Plots v1.27.1
[67601950] Quadrature v1.12.0
[f2b01f46] Roots v1.3.15
```
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [March 18, 2022, 1:21pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/6 "2022-03-18T13:21:41Z")
`]st -m`? It seems like it might be a Symbolics.jl versioning issue.
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 1:54pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/7 "2022-03-18T13:54:47Z")
> [@ChrisRackauckas](#):
>
> ]st -m
This gives me the following output
```julia
[c3fe647b] AbstractAlgebra v0.24.1
[621f4979] AbstractFFTs v1.1.0
[1520ce14] AbstractTrees v0.3.4
[79e6a3ab] Adapt v3.3.3
[dce04be8] ArgCheck v2.3.0
[ec485272] ArnoldiMethod v0.2.0
[4fba245c] ArrayInterface v3.2.2
[4c555306] ArrayLayouts v0.7.10
[15f4f7f2] AutoHashEquals v0.2.0
[13072b0f] AxisAlgorithms v1.0.1
[ab4f0b2a] BFloat16s v0.2.0
[aae01518] BandedMatrices v0.16.11
[198e06fe] BangBang v0.3.36
[9718e550] Baselet v0.1.1
[e2ed5e7c] Bijections v0.1.3
[62783981] BitTwiddlingConvenienceFunctions v0.1.3
[8e7c35d0] BlockArrays v0.16.11
[ffab5731] BlockBandedMatrices v0.11.1
[764a87c0] BoundaryValueDiffEq v2.7.1
[fa961155] CEnum v0.4.1
[2a0fbf3d] CPUSummary v0.1.15
[00ebfdb7] CSTParser v3.3.3
[052768ef] CUDA v3.8.5
[49dc2e85] Calculus v0.5.1
[7057c7e9] Cassette v0.3.10
[082447d4] ChainRules v1.28.0
[d360d2e6] ChainRulesCore v1.13.0
[9e997f8a] ChangesOfVariables v0.1.2
[fb6a15b2] CloseOpenIntervals v0.1.6
[944b1d66] CodecZlib v0.7.0
[35d6a980] ColorSchemes v3.17.1
[3da002f7] ColorTypes v0.11.0
[5ae59095] Colors v0.12.8
[861a8166] Combinatorics v1.0.2
[a80b9123] CommonMark v0.8.6
[38540f10] CommonSolve v0.2.0
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v3.42.0
[b152e2b5] CompositeTypes v0.1.2
[a33af91c] CompositionsBase v0.1.1
[88cd18e8] ConsoleProgressMonitor v0.1.2
[187b0558] ConstructionBase v1.3.0
[d38c429a] Contour v0.5.7
[a8cc5b0e] Crayons v4.1.1
[8a292aeb] Cuba v2.2.0
[667455a9] Cubature v1.5.1
[754358af] DEDataArrays v0.2.2
[9a962f9c] DataAPI v1.9.0
[82cc6244] DataInterpolations v3.8.0
[864edb3b] DataStructures v0.18.11
[e2d170a0] DataValueInterfaces v1.0.0
[244e2a9f] DefineSingletons v0.1.2
[bcd4f6db] DelayDiffEq v5.35.1
[b429d917] DensityInterface v0.4.0
[2b5f629d] DiffEqBase v6.82.1
[459566f4] DiffEqCallbacks v2.22.0
[aae7a2af] DiffEqFlux v1.45.2
[c894b116] DiffEqJump v8.3.0
[77a26b50] DiffEqNoiseProcess v5.9.0
[9fdde737] DiffEqOperators v4.41.0
[41bf760c] DiffEqSensitivity v6.70.0
[163ba53b] DiffResults v1.0.3
[b552c78f] DiffRules v1.10.0
[0c46a032] DifferentialEquations v7.1.0
[b4f34e82] Distances v0.10.7
[31c24e10] Distributions v0.25.52
[ced4e74d] DistributionsAD v0.6.38
[ffbed154] DocStringExtensions v0.8.6
[5b8099bc] DomainSets v0.5.9
[fa6b7ba4] DualNumbers v0.6.7
[7c1d4256] DynamicPolynomials v0.4.4
[da5c29d0] EllipsisNotation v1.3.0
[7da242da] Enzyme v0.8.5
[d4d017d3] ExponentialUtilities v1.13.0
[e2ba6199] ExprTools v0.1.8
[c87230d0] FFMPEG v0.4.1
[7a1cc6ca] FFTW v1.4.6
[7034ab61] FastBroadcast v0.1.14
[9aa1b823] FastClosures v0.3.2
[1a297f60] FillArrays v0.12.8
[6a86dc24] FiniteDiff v2.11.0
[53c48c17] FixedPointNumbers v0.8.4
[587475ba] Flux v0.12.9
[59287772] Formatting v0.4.2
[f6369f11] ForwardDiff v0.10.25
[069b7b12] FunctionWrappers v1.1.2
[d9f16b24] Functors v0.2.8
[0c68f7d7] GPUArrays v8.3.1
[61eb1bfa] GPUCompiler v0.13.14
[28b8d3ca] GR v0.64.0
[a75be94c] GalacticOptim v2.4.0
[5c1252a2] GeometryBasics v0.4.2
[af5da776] GlobalSensitivity v1.3.2
[86223c79] Graphs v1.6.0
[42e2da0e] Grisu v1.0.2
[0b43b601] Groebner v0.2.0
[d5909c97] GroupsCore v0.4.0
[19dc6840] HCubature v1.5.0
[cd3eb016] HTTP v0.9.17
[3e5b6fbb] HostCPUFeatures v0.1.7
[0e44f5e4] Hwloc v2.0.0
[34004b35] HypergeometricFunctions v0.3.8
[7869d1d1] IRTools v0.4.5
[615f187c] IfElse v0.1.1
[d25df0c9] Inflate v0.1.2
[83e8ac13] IniFile v0.5.1
[22cec73e] InitialValues v0.3.1
[a98d9a8b] Interpolations v0.13.5
[8197267c] IntervalSets v0.5.3
[3587e190] InverseFunctions v0.1.3
[92d709cd] IrrationalConstants v0.1.1
[c8e1da08] IterTools v1.4.0
[42fd0dbc] IterativeSolvers v0.9.2
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.4.1
[682c06a0] JSON v0.21.3
[98e50ef6] JuliaFormatter v0.22.7
[e5e0dc1b] Juno v0.8.4
[ef3ab10e] KLU v0.3.0
[5ab0869b] KernelDensity v0.6.3
[ba0b0d4f] Krylov v0.7.13
[0b1a1467] KrylovKit v0.5.3
[929cbde3] LLVM v4.9.1
[b964fa9f] LaTeXStrings v1.3.0
[2ee39098] LabelledArrays v1.8.0
[23fbe1c1] Latexify v0.15.13
[a5e1c1ea] LatinHypercubeSampling v1.8.0
[73f95e8e] LatticeRules v0.0.1
[10f19ff3] LayoutPointers v0.1.6
[50d2b5c4] Lazy v0.15.1
[5078a376] LazyArrays v0.22.5
[d7e5e226] LazyBandedMatrices v0.7.6
[0fc2ff8b] LeastSquaresOptim v0.8.3
[1d6d02ad] LeftChildRightSiblingTrees v0.1.3
[2d8b4e74] LevyArea v1.0.0
[d3d80556] LineSearches v7.1.1
[7ed4a6bd] LinearSolve v1.13.0
[2ab3a3ac] LogExpFunctions v0.3.10
[e6f89c97] LoggingExtras v0.4.7
[bdcacae8] LoopVectorization v0.12.103
[d8e11817] MLStyle v0.4.10
[1914dd2f] MacroTools v0.5.9
[d125e4d3] ManualMemory v0.1.8
[a3b82374] MatrixFactorizations v0.8.5
[739be429] MbedTLS v1.0.3
[442fdcdd] Measures v0.3.1
[e89f7d12] Media v0.5.0
[c03570c3] Memoize v0.4.4
[e9d8d322] Metatheory v1.3.3
[128add7d] MicroCollections v0.1.2
[e1d29d7a] Missings v1.0.2
[961ee093] ModelingToolkit v8.5.2
[4886b29c] MonteCarloIntegration v0.0.3
[46d2c3a1] MuladdMacro v0.2.2
[102ac46a] MultivariatePolynomials v0.4.3
[d8a4904e] MutableArithmetics v1.0.0
[d41bc354] NLSolversBase v7.8.2
[2774e3e8] NLsolve v4.5.1
[872c559c] NNlib v0.8.4
[a00861dc] NNlibCUDA v0.2.2
[77ba4419] NaNMath v0.3.7
[315f7962] NeuralPDE v4.5.1
[8913a72c] NonlinearSolve v0.3.16
[d8793406] ObjectFile v0.3.7
[6fe1bfb0] OffsetArrays v1.10.8
[429524aa] Optim v1.6.2
[bac558e1] OrderedCollections v1.4.1
[1dea7af3] OrdinaryDiffEq v6.7.1
[90014a1f] PDMats v0.11.7
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.2.3
[ccf2f8ad] PlotThemes v2.0.1
[995b91a9] PlotUtils v1.2.0
[91a5bcdd] Plots v1.27.1
[e409e4f3] PoissonRandom v0.4.0
[f517fe37] Polyester v0.6.7
[1d0040c9] PolyesterWeave v0.1.5
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.2.4
[21216c6a] Preferences v1.2.5
[27ebfcd6] Primes v0.5.1
[33c8b6b6] ProgressLogging v0.1.4
[92933f4c] ProgressMeter v1.7.1
[1fd47b50] QuadGK v2.4.2
[67601950] Quadrature v1.12.0
[8a4e6c94] QuasiMonteCarlo v0.2.4
[74087812] Random123 v1.5.0
[fb686558] RandomExtensions v0.4.3
[e6cf234a] RandomNumbers v1.5.3
[c84ed2f1] Ratios v0.4.3
[c1ae055f] RealDot v0.1.0
[3cdcf5f2] RecipesBase v1.2.1
[01d81517] RecipesPipeline v0.5.1
[731186ca] RecursiveArrayTools v2.25.1
[f2c3362d] RecursiveFactorization v0.2.9
[189a3867] Reexport v1.2.2
[42d2dcc6] Referenceables v0.1.2
[29dad682] RegularizationTools v0.5.3
[05181044] RelocatableFolders v0.1.3
[ae029012] Requires v1.3.0
[ae5879a3] ResettableStacks v1.1.1
[37e2e3b7] ReverseDiff v1.12.0
[79098fc4] Rmath v0.7.0
[f2b01f46] Roots v1.3.15
[7e49a35a] RuntimeGeneratedFunctions v0.5.3
[3cdde19b] SIMDDualNumbers v0.1.0
[94e857df] SIMDTypes v0.1.0
[476501e8] SLEEFPirates v0.6.31
[1bc83da4] SafeTestsets v0.0.1
[0bca4576] SciMLBase v1.28.0
[6c6a2e73] Scratch v1.1.0
[efcf1570] Setfield v0.8.2
[992d4aef] Showoff v1.0.3
[699a6c99] SimpleTraits v0.9.4
[ed01d8cd] Sobol v1.5.0
[a2af1166] SortingAlgorithms v1.0.1
[47a9eef4] SparseDiffTools v1.20.2
[276daf66] SpecialFunctions v2.1.4
[171d559e] SplittablesBase v0.1.14
[860ef19b] StableRNGs v1.0.0
[aedffcd0] Static v0.4.1
[90137ffa] StaticArrays v1.4.2
[82ae8749] StatsAPI v1.2.1
[2913bbd2] StatsBase v0.33.16
[4c63d2b9] StatsFuns v0.9.16
[9672c7b4] SteadyStateDiffEq v1.6.6
[789caeaf] StochasticDiffEq v6.45.0
[7792a7ef] StrideArraysCore v0.2.13
[09ab397b] StructArrays v0.6.5
[53d494c1] StructIO v0.3.0
[c3572dad] Sundials v4.9.3
[d1185830] SymbolicUtils v0.19.7
[0c5d862f] Symbolics v4.3.1
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.7.0
[8ea1fca8] TermInterface v0.2.3
[5d786b92] TerminalLoggers v0.1.5
[8290d209] ThreadingUtilities v0.5.0
[ac1d9e8a] ThreadsX v0.1.9
[a759f4b9] TimerOutputs v0.5.16
[0796e94c] Tokenize v0.5.21
[9f7883ad] Tracker v0.2.20
[3bb67fe8] TranscodingStreams v0.9.6
[28d57a85] Transducers v0.4.73
[592b5752] Trapz v2.0.3
[a2a6695c] TreeViews v0.3.0
[d5829a12] TriangularSolve v0.1.11
[5c2747f8] URIs v1.3.0
[3a884ed6] UnPack v1.0.2
[d9a01c3f] Underscores v3.0.0
[1cfade01] UnicodeFun v0.4.1
[1986cc42] Unitful v1.11.0
[41fe7b60] Unzip v0.1.2
[3d5dd08c] VectorizationBase v0.21.25
[19fa3120] VertexSafeGraphs v0.2.0
[efce3f68] WoodburyMatrices v0.5.5
[a5390f91] ZipFile v0.9.4
[e88e6eb3] Zygote v0.6.37
[700de1a5] ZygoteRules v0.2.2
[6e34b625] Bzip2_jll v1.0.8+0
[83423d85] Cairo_jll v1.16.1+1
[3bed1096] Cuba_jll v4.2.2+1
[7bc98958] Cubature_jll v1.0.5+0
[5ae413db] EarCut_jll v2.2.3+0
[7cc45869] Enzyme_jll v0.0.25+0
[2e619515] Expat_jll v2.4.4+0
[b22a6f82] FFMPEG_jll v4.4.0+0
[f5851436] FFTW_jll v3.3.10+0
[a3f928ae] Fontconfig_jll v2.13.93+0
[d7e528f0] FreeType2_jll v2.10.4+0
[559328eb] FriBidi_jll v1.0.10+0
[0656b61e] GLFW_jll v3.3.6+0
[d2c73de3] GR_jll v0.64.0+0
[78b55507] Gettext_jll v0.21.0+0
[7746bdde] Glib_jll v2.68.3+2
[3b182d85] Graphite2_jll v1.3.14+0
[2e76f6c2] HarfBuzz_jll v2.8.1+1
[e33a78d0] Hwloc_jll v2.7.0+0
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
[aacddb02] JpegTurbo_jll v2.1.2+0
[c1c5ebd0] LAME_jll v3.100.1+0
[88015f11] LERC_jll v3.0.0+1
[dad2f222] LLVMExtra_jll v0.0.14+2
[dd4b983a] LZO_jll v2.10.1+0
[e9f186c6] Libffi_jll v3.2.2+1
[d4300ac3] Libgcrypt_jll v1.8.7+0
[7e76a0d4] Libglvnd_jll v1.3.0+3
[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 v4.3.0+1
[38a345b3] Libuuid_jll v2.36.0+0
[856f044c] MKL_jll v2022.0.0+0
[e7412a2a] Ogg_jll v1.3.5+1
[458c3c95] OpenSSL_jll v1.1.14+0
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[91d4177d] Opus_jll v1.3.2+0
[2f80f16e] PCRE_jll v8.44.0+0
[30392449] Pixman_jll v0.40.1+0
[ea2cea3b] Qt5Base_jll v5.15.3+0
[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 v2.9.12+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
[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 v0.9.1+5
[0dad84c5] ArgTools
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[f43a241f] Downloads
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[4af54fe1] LazyArtifacts
[b27032c2] LibCURL
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[ca575930] NetworkOptions
[44cfe95a] Pkg
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[a4e569a6] Tar
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[e66e0078] CompilerSupportLibraries_jll
[deac9b47] LibCURL_jll
[29816b5a] LibSSH2_jll
[c8ffd9c3] MbedTLS_jll
[14a3606d] MozillaCACerts_jll
[4536629a] OpenBLAS_jll
[05823500] OpenLibm_jll
[bea87d4a] SuiteSparse_jll
[83775a58] Zlib_jll
[8e850b90] libblastrampoline_jll
[8e850ede] nghttp2_jll
[3f19e933] p7zip_jll
```
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [March 18, 2022, 2:36pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/8 "2022-03-18T14:36:30Z")
@shashi ?
---
### Author:  [@nilshg](https://discourse.julialang.org/u/nilshg)
#### Post date: [March 18, 2022, 3:07pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/9 "2022-03-18T15:07:33Z")
Hm, I seem to get the same versions on all relevant packages, although you’ve got some additional stuff in there. Can you just try in a fresh environment with only `NeuralPDE, Flux, ModelingToolkit, GalacticOptim, Optim, DiffEqFlux` installed?
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 3:44pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/10 "2022-03-18T15:44:15Z")
I deleted the Manifest and Project toml and installed the only required packages.
This is the output:
```julia
(@v1.7) pkg> st
Status `C:\Users\K\.julia\environments\v1.7\Project.toml`
[aae7a2af] DiffEqFlux v1.45.2
[587475ba] Flux v0.12.9
[a75be94c] GalacticOptim v2.4.0
[961ee093] ModelingToolkit v8.5.2
[315f7962] NeuralPDE v4.5.1
[429524aa] Optim v1.6.2
```
```julia
(@v1.7) pkg> st -m
Status `C:\Users\K\.julia\environments\v1.7\Manifest.toml`
[c3fe647b] AbstractAlgebra v0.24.1
[621f4979] AbstractFFTs v1.1.0
[1520ce14] AbstractTrees v0.3.4
[79e6a3ab] Adapt v3.3.3
[dce04be8] ArgCheck v2.3.0
[ec485272] ArnoldiMethod v0.2.0
[4fba245c] ArrayInterface v3.2.2
[4c555306] ArrayLayouts v0.7.10
[15f4f7f2] AutoHashEquals v0.2.0
[13072b0f] AxisAlgorithms v1.0.1
[ab4f0b2a] BFloat16s v0.2.0
[aae01518] BandedMatrices v0.16.11
[198e06fe] BangBang v0.3.36
[9718e550] Baselet v0.1.1
[e2ed5e7c] Bijections v0.1.3
[62783981] BitTwiddlingConvenienceFunctions v0.1.3
[8e7c35d0] BlockArrays v0.16.11
[ffab5731] BlockBandedMatrices v0.11.1
[fa961155] CEnum v0.4.1
[2a0fbf3d] CPUSummary v0.1.15
[00ebfdb7] CSTParser v3.3.3
[052768ef] CUDA v3.8.5
[49dc2e85] Calculus v0.5.1
[7057c7e9] Cassette v0.3.10
[082447d4] ChainRules v1.28.0
[d360d2e6] ChainRulesCore v1.13.0
[9e997f8a] ChangesOfVariables v0.1.2
[fb6a15b2] CloseOpenIntervals v0.1.6
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.11.0
[5ae59095] Colors v0.12.8
[861a8166] Combinatorics v1.0.2
[a80b9123] CommonMark v0.8.6
[38540f10] CommonSolve v0.2.0
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v3.42.0
[b152e2b5] CompositeTypes v0.1.2
[a33af91c] CompositionsBase v0.1.1
[88cd18e8] ConsoleProgressMonitor v0.1.2
[187b0558] ConstructionBase v1.3.0
[a8cc5b0e] Crayons v4.1.1
[8a292aeb] Cuba v2.2.0
[667455a9] Cubature v1.5.1
[754358af] DEDataArrays v0.2.2
[9a962f9c] DataAPI v1.9.0
[82cc6244] DataInterpolations v3.8.0
[864edb3b] DataStructures v0.18.11
[e2d170a0] DataValueInterfaces v1.0.0
[244e2a9f] DefineSingletons v0.1.2
[b429d917] DensityInterface v0.4.0
[2b5f629d] DiffEqBase v6.82.1
[459566f4] DiffEqCallbacks v2.22.0
[aae7a2af] DiffEqFlux v1.45.2
[c894b116] DiffEqJump v8.3.0
[77a26b50] DiffEqNoiseProcess v5.9.0
[9fdde737] DiffEqOperators v4.41.0
[41bf760c] DiffEqSensitivity v6.70.0
[163ba53b] DiffResults v1.0.3
[b552c78f] DiffRules v1.10.0
[b4f34e82] Distances v0.10.7
[31c24e10] Distributions v0.25.52
[ced4e74d] DistributionsAD v0.6.38
[ffbed154] DocStringExtensions v0.8.6
[5b8099bc] DomainSets v0.5.9
[fa6b7ba4] DualNumbers v0.6.7
[7c1d4256] DynamicPolynomials v0.4.4
[da5c29d0] EllipsisNotation v1.3.0
[7da242da] Enzyme v0.8.5
[d4d017d3] ExponentialUtilities v1.13.0
[e2ba6199] ExprTools v0.1.8
[7a1cc6ca] FFTW v1.4.6
[7034ab61] FastBroadcast v0.1.14
[9aa1b823] FastClosures v0.3.2
[1a297f60] FillArrays v0.12.8
[6a86dc24] FiniteDiff v2.11.0
[53c48c17] FixedPointNumbers v0.8.4
[587475ba] Flux v0.12.9
[59287772] Formatting v0.4.2
[f6369f11] ForwardDiff v0.10.25
[069b7b12] FunctionWrappers v1.1.2
[d9f16b24] Functors v0.2.8
[0c68f7d7] GPUArrays v8.3.1
[61eb1bfa] GPUCompiler v0.13.14
[a75be94c] GalacticOptim v2.4.0
[af5da776] GlobalSensitivity v1.3.2
[86223c79] Graphs v1.6.0
[0b43b601] Groebner v0.2.0
[d5909c97] GroupsCore v0.4.0
[19dc6840] HCubature v1.5.0
[3e5b6fbb] HostCPUFeatures v0.1.7
[0e44f5e4] Hwloc v2.0.0
[34004b35] HypergeometricFunctions v0.3.8
[7869d1d1] IRTools v0.4.5
[615f187c] IfElse v0.1.1
[d25df0c9] Inflate v0.1.2
[22cec73e] InitialValues v0.3.1
[a98d9a8b] Interpolations v0.13.5
[8197267c] IntervalSets v0.5.3
[3587e190] InverseFunctions v0.1.3
[92d709cd] IrrationalConstants v0.1.1
[42fd0dbc] IterativeSolvers v0.9.2
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.4.1
[682c06a0] JSON v0.21.3
[98e50ef6] JuliaFormatter v0.22.7
[e5e0dc1b] Juno v0.8.4
[ef3ab10e] KLU v0.3.0
[5ab0869b] KernelDensity v0.6.3
[ba0b0d4f] Krylov v0.7.13
[0b1a1467] KrylovKit v0.5.3
[929cbde3] LLVM v4.9.1
[b964fa9f] LaTeXStrings v1.3.0
[2ee39098] LabelledArrays v1.8.0
[23fbe1c1] Latexify v0.15.13
[a5e1c1ea] LatinHypercubeSampling v1.8.0
[73f95e8e] LatticeRules v0.0.1
[10f19ff3] LayoutPointers v0.1.6
[50d2b5c4] Lazy v0.15.1
[5078a376] LazyArrays v0.22.5
[d7e5e226] LazyBandedMatrices v0.7.6
[0fc2ff8b] LeastSquaresOptim v0.8.3
[1d6d02ad] LeftChildRightSiblingTrees v0.1.3
[2d8b4e74] LevyArea v1.0.0
[d3d80556] LineSearches v7.1.1
[7ed4a6bd] LinearSolve v1.13.0
[2ab3a3ac] LogExpFunctions v0.3.10
[e6f89c97] LoggingExtras v0.4.7
[bdcacae8] LoopVectorization v0.12.103
[d8e11817] MLStyle v0.4.10
[1914dd2f] MacroTools v0.5.9
[d125e4d3] ManualMemory v0.1.8
[a3b82374] MatrixFactorizations v0.8.5
[e89f7d12] Media v0.5.0
[c03570c3] Memoize v0.4.4
[e9d8d322] Metatheory v1.3.3
[128add7d] MicroCollections v0.1.2
[e1d29d7a] Missings v1.0.2
[961ee093] ModelingToolkit v8.5.2
[4886b29c] MonteCarloIntegration v0.0.3
[46d2c3a1] MuladdMacro v0.2.2
[102ac46a] MultivariatePolynomials v0.4.3
[d8a4904e] MutableArithmetics v1.0.0
[d41bc354] NLSolversBase v7.8.2
[2774e3e8] NLsolve v4.5.1
[872c559c] NNlib v0.8.4
[a00861dc] NNlibCUDA v0.2.2
[77ba4419] NaNMath v0.3.7
[315f7962] NeuralPDE v4.5.1
[8913a72c] NonlinearSolve v0.3.16
[d8793406] ObjectFile v0.3.7
[6fe1bfb0] OffsetArrays v1.10.8
[429524aa] Optim v1.6.2
[bac558e1] OrderedCollections v1.4.1
[1dea7af3] OrdinaryDiffEq v6.7.1
[90014a1f] PDMats v0.11.7
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.2.3
[e409e4f3] PoissonRandom v0.4.0
[f517fe37] Polyester v0.6.7
[1d0040c9] PolyesterWeave v0.1.5
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.2.4
[21216c6a] Preferences v1.2.5
[27ebfcd6] Primes v0.5.1
[33c8b6b6] ProgressLogging v0.1.4
[92933f4c] ProgressMeter v1.7.1
[1fd47b50] QuadGK v2.4.2
[67601950] Quadrature v1.12.0
[8a4e6c94] QuasiMonteCarlo v0.2.4
[74087812] Random123 v1.5.0
[fb686558] RandomExtensions v0.4.3
[e6cf234a] RandomNumbers v1.5.3
[c84ed2f1] Ratios v0.4.3
[c1ae055f] RealDot v0.1.0
[3cdcf5f2] RecipesBase v1.2.1
[731186ca] RecursiveArrayTools v2.25.1
[f2c3362d] RecursiveFactorization v0.2.9
[189a3867] Reexport v1.2.2
[42d2dcc6] Referenceables v0.1.2
[29dad682] RegularizationTools v0.5.3
[ae029012] Requires v1.3.0
[ae5879a3] ResettableStacks v1.1.1
[37e2e3b7] ReverseDiff v1.12.0
[79098fc4] Rmath v0.7.0
[7e49a35a] RuntimeGeneratedFunctions v0.5.3
[3cdde19b] SIMDDualNumbers v0.1.0
[94e857df] SIMDTypes v0.1.0
[476501e8] SLEEFPirates v0.6.31
[1bc83da4] SafeTestsets v0.0.1
[0bca4576] SciMLBase v1.28.0
[efcf1570] Setfield v0.8.2
[699a6c99] SimpleTraits v0.9.4
[ed01d8cd] Sobol v1.5.0
[a2af1166] SortingAlgorithms v1.0.1
[47a9eef4] SparseDiffTools v1.20.2
[276daf66] SpecialFunctions v2.1.4
[171d559e] SplittablesBase v0.1.14
[860ef19b] StableRNGs v1.0.0
[aedffcd0] Static v0.4.1
[90137ffa] StaticArrays v1.4.2
[82ae8749] StatsAPI v1.2.1
[2913bbd2] StatsBase v0.33.16
[4c63d2b9] StatsFuns v0.9.16
[789caeaf] StochasticDiffEq v6.45.0
[7792a7ef] StrideArraysCore v0.2.13
[53d494c1] StructIO v0.3.0
[d1185830] SymbolicUtils v0.19.7
[0c5d862f] Symbolics v4.3.1
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.7.0
[8ea1fca8] TermInterface v0.2.3
[5d786b92] TerminalLoggers v0.1.5
[8290d209] ThreadingUtilities v0.5.0
[ac1d9e8a] ThreadsX v0.1.9
[a759f4b9] TimerOutputs v0.5.16
[0796e94c] Tokenize v0.5.21
[9f7883ad] Tracker v0.2.20
[3bb67fe8] TranscodingStreams v0.9.6
[28d57a85] Transducers v0.4.73
[592b5752] Trapz v2.0.3
[a2a6695c] TreeViews v0.3.0
[d5829a12] TriangularSolve v0.1.11
[5c2747f8] URIs v1.3.0
[3a884ed6] UnPack v1.0.2
[d9a01c3f] Underscores v3.0.0
[1986cc42] Unitful v1.11.0
[3d5dd08c] VectorizationBase v0.21.25
[19fa3120] VertexSafeGraphs v0.2.0
[efce3f68] WoodburyMatrices v0.5.5
[a5390f91] ZipFile v0.9.4
[e88e6eb3] Zygote v0.6.37
[700de1a5] ZygoteRules v0.2.2
[3bed1096] Cuba_jll v4.2.2+1
[7bc98958] Cubature_jll v1.0.5+0
[7cc45869] Enzyme_jll v0.0.25+0
[f5851436] FFTW_jll v3.3.10+0
[e33a78d0] Hwloc_jll v2.7.0+0
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
[dad2f222] LLVMExtra_jll v0.0.14+2
[856f044c] MKL_jll v2022.0.0+0
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[f50d1b31] Rmath_jll v0.3.0+0
[0dad84c5] ArgTools
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[f43a241f] Downloads
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[4af54fe1] LazyArtifacts
[b27032c2] LibCURL
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[ca575930] NetworkOptions
[44cfe95a] Pkg
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[a4e569a6] Tar
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[e66e0078] CompilerSupportLibraries_jll
[deac9b47] LibCURL_jll
[29816b5a] LibSSH2_jll
[c8ffd9c3] MbedTLS_jll
[14a3606d] MozillaCACerts_jll
[4536629a] OpenBLAS_jll
[05823500] OpenLibm_jll
[bea87d4a] SuiteSparse_jll
[83775a58] Zlib_jll
[8e850b90] libblastrampoline_jll
[8e850ede] nghttp2_jll
[3f19e933] p7zip_jll
```
Sadly I still get the same error message.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [March 18, 2022, 4:09pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/11 "2022-03-18T16:09:40Z")
And you restarted Julia? That error is indicative of an older Symbolics version.
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 18, 2022, 4:19pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/12 "2022-03-18T16:19:33Z")
Yes I did restart Julia. So what else could I do?
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [March 19, 2022, 4:37pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/13 "2022-03-19T16:37:16Z")
I just ran it locally and it was fine. Are you sure you aren’t activating some other manifset or something?
---
### Author:  [@goerch](https://discourse.julialang.org/u/goerch)
#### Post date: [March 19, 2022, 7:21pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/14 "2022-03-19T19:21:07Z")
And are you on latest 1.7.(2)? There have been bug fixes since then…
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 20, 2022, 2:03pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/15 "2022-03-20T14:03:16Z")
Today I tried the tutorial on my notebook and it works fine. So I was curious why it does not work on my computer.
So I deinstalled Julia and deleted manually it’s corresponding folder .julia.
I downloaded the newest Julia version and installed only the necessary packages for the tutorial. And again, I get the same error message. To be honest, I do not know what else I can try and why I get this error.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [March 20, 2022, 4:20pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/16 "2022-03-20T16:20:44Z")
Is this the REPL? VSCode?
---
### Author:  [@FrootLoops](https://discourse.julialang.org/u/FrootLoops)
#### Post date: [March 20, 2022, 8:15pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/17 "2022-03-20T20:15:35Z")
I am using VSCode. Worked on the notebook. I deinstalled and installed Julia 1.7.2 three times now. Deleted the .julia folder over and over again. And now it is finally working. But to be honest, I have no idea why. I did nothing different 😅.
---
### Author:  [@shashi](https://discourse.julialang.org/u/shashi)
#### Post date: [March 29, 2022, 1:24pm UTC](https://discourse.julialang.org/t/poisson-equation-example-of-neuralpde-jl-throws-hash-error/78071/18 "2022-03-29T13:24:21Z")
Glad it is working haha!!