djinnome
commented
11 months ago minimal" reproducing example (not minimal because I don't have a sufficient sense of decapode goings-on to easily reduce further).
import Pkg
Pkg.add(name="Decapodes", rev="main")
Pkg.add(name="ACSets", rev="main")
Pkg.add([
"Catlab",
"CombinatorialSpaces",
"MLStyle",
"MultiScaleArrays",
"LinearAlgebra",
"OrdinaryDiffEq",
"JLD2",
"SparseArrays",
"Statistics",
"GLMakie",
"GeometryBasics",
"ComponentArrays"])
# AlgebraicJulia Dependencies
using Catlab
using Catlab.Graphics
using CombinatorialSpaces
using Decapodes
using ComponentArrays
# External Dependencies
using MLStyle
using MultiScaleArrays
using LinearAlgebra
using OrdinaryDiffEq
using JLD2
using SparseArrays
using Statistics
using GLMakie # Just for visualization
using GeometryBasics: Point2, Point3
Point2D = Point2{Float64};
Point3D = Point3{Float64};
@info("Packages Loaded")
halfar_eq2 = @decapode begin
h::Form0
Γ::Form1
n::Constant
ḣ == ∂ₜ(h)
ḣ == ∘(⋆, d, ⋆)(Γ * d(h) * avg₀₁(mag(♯(d(h)))^(n-1)) * avg₀₁(h^(n+2)))
end
glens_law = @decapode begin
Γ::Form1
(A,ρ,g,n)::Constant
Γ == (2/(n+2))*A*(ρ*g)^n
end
@info("Decapodes Defined")
ice_dynamics_composition_diagram = @relation () begin
dynamics(Γ,n)
stress(Γ,n)
end
ice_dynamics_cospan = oapply(ice_dynamics_composition_diagram,
[Open(halfar_eq2, [:Γ,:n]),
Open(glens_law, [:Γ,:n])])
ice_dynamics = apex(ice_dynamics_cospan)
ice_dynamics1D = expand_operators(ice_dynamics)
infer_types!(ice_dynamics1D, op1_inf_rules_1D, op2_inf_rules_1D)
resolve_overloads!(ice_dynamics1D, op1_res_rules_1D, op2_res_rules_1D)
s_prime = EmbeddedDeltaSet1D{Bool, Point2D}()
add_vertices!(s_prime, 100, point=Point2D.(range(-2, 2, length=100), 0))
add_edges!(s_prime, 1:nv(s_prime)-1, 2:nv(s_prime))
orient!(s_prime)
s = EmbeddedDeltaDualComplex1D{Bool, Float64, Point2D}(s_prime)
subdivide_duals!(s, Circumcenter())
@info("Spaces Defined")
function generate(sd, my_symbol; hodge=GeometricHodge())
e_vecs = map(edges(sd)) do e
point(sd, sd[e, :∂v0]) - point(sd, sd[e, :∂v1])
end
neighbors = map(vertices(sd)) do v
union(incident(sd, v, :∂v0), incident(sd, v, :∂v1))
end
n_vecs = map(neighbors) do es
[e_vecs[e] for e in es]
end
I = Vector{Int64}()
J = Vector{Int64}()
V = Vector{Float64}()
for e in 1:ne(s)
append!(J, [s[e,:∂v0],s[e,:∂v1]])
append!(I, [e,e])
append!(V, [0.5, 0.5])
end
avg_mat = sparse(I,J,V)
op = @match my_symbol begin
:♯ => x -> begin
map(neighbors, n_vecs) do es, nvs
sum([nv*norm(nv)*x[e] for (e,nv) in zip(es,nvs)]) / sum(norm.(nvs))
end
end
:mag => x -> begin
norm.(x)
end
:avg₀₁ => x -> begin
avg_mat * x
end
:^ => (x,y) -> x .^ y
:* => (x,y) -> x .* y
:show => x -> begin
@show x
x
end
x => error("Unmatched operator $my_symbol")
end
return (args...) -> op(args...)
end
sim = eval(gensim(ice_dynamics1D, dimension=1))
fₘ = sim(s, generate)
function f(flow_rate, ice_density, u_init_arr)
n = 3
ρ = ice_density
g = 9.8101
A = fill(flow_rate, ne(s))
tₑ = 5e13
u₀ = ComponentArray(dynamics_h = u_init_arr)
constants_and_parameters = (
n = n,
stress_ρ = ρ,
stress_g = g,
stress_A = A)
prob = ODEProblem{true, SciMLBase.FullSpecialize}(fₘ, u₀, (0, tₑ), constants_and_parameters)
@info("Solving")
soln = solve(prob, Tsit5())
@info("Done")
return soln(tₑ)
end
h₀ = map(x -> try sqrt(1. - x[1]^2) catch DomainError return 0.0 end, point(s_prime))
y = f(1e-16, 910., h₀)
Pkg.add("ForwardDiff")
using ForwardDiff: gradient;
gradient(x -> f(1e-16, 910., x), h₀)results in this stacktrace:
ERROR: ArgumentError: cannot reinterpret an `ForwardDiff.Dual{nothing, Float64, 11}` array to `ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}` whose first dimension has size `99`.
The resulting array would have non-integral first dimension.
Stacktrace:
[1] (::Base.var"#thrownonint#326")(S::Type, T::Type, dim::Int64)
@ Base ./reinterpretarray.jl:53
[2] reinterpret
@ ./reinterpretarray.jl:71 [inlined]
[3] get_tmp(dc::PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, u::ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}})
@ PreallocationTools ~/.julia/packages/PreallocationTools/nhCNl/src/PreallocationTools.jl:51
[4] (::var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}})(du::ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, u::ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, p::NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, t::Float64)
@ Main ~/.julia/packages/Decapodes/AQT8L/src/simulation.jl:432
[5] ODEFunction
@ ~/.julia/packages/SciMLBase/eK30d/src/scimlfunctions.jl:2407 [inlined]
[6] initialize!(integrator::OrdinaryDiffEq.ODEIntegrator{Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}, true, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, Nothing, Float64, NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, Float64, Float64, Float64, Float64, Vector{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}}, ODESolution{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, 2, Vector{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}}}, ODEProblem{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, Tuple{Float64, Float64}, true, NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Vector{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}}, Vector{Float64}, Vector{Vector{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}}}, OrdinaryDiffEq.Tsit5Cache{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}}, SciMLBase.DEStats, Nothing}, ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, OrdinaryDiffEq.Tsit5Cache{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}, OrdinaryDiffEq.DEOptions{Float64, ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Nothing, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Tuple{}, Tuple{}, Tuple{}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Nothing, OrdinaryDiffEq.DefaultInit}, cache::OrdinaryDiffEq.Tsit5Cache{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False})
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/JJd6g/src/perform_step/low_order_rk_perform_step.jl:792
[7] __init(prob::ODEProblem{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, Tuple{Float64, Float64}, true, NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, alg::Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}, timeseries_init::Tuple{}, ts_init::Tuple{}, ks_init::Tuple{}, recompile::Type{Val{true}}; saveat::Tuple{}, tstops::Tuple{}, d_discontinuities::Tuple{}, save_idxs::Nothing, save_everystep::Bool, save_on::Bool, save_start::Bool, save_end::Nothing, callback::Nothing, dense::Bool, calck::Bool, dt::Float64, dtmin::Nothing, dtmax::Float64, force_dtmin::Bool, adaptive::Bool, gamma::Rational{Int64}, abstol::Nothing, reltol::Nothing, qmin::Rational{Int64}, qmax::Int64, qsteady_min::Int64, qsteady_max::Int64, beta1::Nothing, beta2::Nothing, qoldinit::Rational{Int64}, controller::Nothing, fullnormalize::Bool, failfactor::Int64, maxiters::Int64, internalnorm::typeof(DiffEqBase.ODE_DEFAULT_NORM), internalopnorm::typeof(opnorm), isoutofdomain::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), unstable_check::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), verbose::Bool, timeseries_errors::Bool, dense_errors::Bool, advance_to_tstop::Bool, stop_at_next_tstop::Bool, initialize_save::Bool, progress::Bool, progress_steps::Int64, progress_name::String, progress_message::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), progress_id::Symbol, userdata::Nothing, allow_extrapolation::Bool, initialize_integrator::Bool, alias_u0::Bool, alias_du0::Bool, initializealg::OrdinaryDiffEq.DefaultInit, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/JJd6g/src/solve.jl:502
[8] __init (repeats 5 times)
@ ~/.julia/packages/OrdinaryDiffEq/JJd6g/src/solve.jl:10 [inlined]
[9] __solve(::ODEProblem{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, Tuple{Float64, Float64}, true, NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, ::Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/JJd6g/src/solve.jl:5
[10] __solve
@ ~/.julia/packages/OrdinaryDiffEq/JJd6g/src/solve.jl:1 [inlined]
[11] #solve_call#34
@ ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:557 [inlined]
[12] solve_call
@ ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:523 [inlined]
[13] #solve_up#42
@ ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:1006 [inlined]
[14] solve_up
@ ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:992 [inlined]
[15] #solve#40
@ ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:929 [inlined]
[16] solve(prob::ODEProblem{ComponentVector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}, Tuple{ComponentArrays.Axis{(dynamics_h = 1:100,)}}}, Tuple{Float64, Float64}, true, NamedTuple{(:n, :stress_ρ, :stress_g, :stress_A), Tuple{Int64, Float64, Float64, Vector{Float64}}}, ODEFunction{true, SciMLBase.FullSpecialize, var"#f#34"{PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 12}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, PreallocationTools.FixedSizeDiffCache{Vector{Float64}, Vector{ForwardDiff.Dual{nothing, Float64, 11}}}, var"#20#33"{var"#17#30"}, var"#20#33"{var"#16#29"{SparseMatrixCSC{Float64, Int64}}}, var"#20#33"{var"#15#28"}, var"#20#33"{var"#12#25"{Vector{Vector{Point2{Float64}}}, Vector{Vector{Int64}}}}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}, Diagonal{Float64, Vector{Float64}}, SparseMatrixCSC{Int64, Int64}}, UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, args::Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.False})
@ DiffEqBase ~/.julia/packages/DiffEqBase/NpZ7U/src/solve.jl:919
[17] f(flow_rate::Float64, ice_density::Float64, u_init_arr::Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}})
@ Main ~/GitRepo/causal_pyro/docs/source/pde_scratch/src/halfar_ice/ice_hackathon.jl:141
[18] #39
@ ~/GitRepo/causal_pyro/docs/source/pde_scratch/src/halfar_ice/ice_hackathon.jl:156 [inlined]
[19] chunk_mode_gradient(f::var"#39#40", x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}})
@ ForwardDiff ~/.julia/packages/ForwardDiff/PcZ48/src/gradient.jl:123
[20] gradient(f::Function, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}}, ::Val{true})
@ ForwardDiff ~/.julia/packages/ForwardDiff/PcZ48/src/gradient.jl:0
[21] gradient(f::Function, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12, Vector{ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}}})
@ ForwardDiff ~/.julia/packages/ForwardDiff/PcZ48/src/gradient.jl:17
[22] gradient(f::Function, x::Vector{Float64})
@ ForwardDiff ~/.julia/packages/ForwardDiff/PcZ48/src/gradient.jl:17
[23] top-level scope
@ ~/GitRepo/causal_pyro/docs/source/pde_scratch/src/halfar_ice/ice_hackathon.jl:156
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This snippet was truncated for display; [see it in full](https://askemgroup.slack.com/files/U05A31F749Z/F066TS847NE/stacktrace.txt?origin_team=T03JAGZ2ZHU&origin_channel=C03MVAWRMPU)
lukem12345
azane
hagabbar
joshday
LilithHafner
ChrisRackauckas
jpfairbanks
<@U03T6HR1328> <@U03JKH9FNBE> <@U03TU2CFAQY> am now running into:
ERROR: ArgumentError: cannot reinterpret an `ForwardDiff.Dual{nothing, Float64, 11}` array to `ForwardDiff.Dual{ForwardDiff.Tag{var"#39#40", Float64}, Float64, 12}` whose first dimension has size `99`. The resulting array would have non-integral first dimension.More details in thread. Am still investigating.Slack Message