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Using Vector(LinRange(0, Lmax, Lmax+1)) inside a function to be differentiated causes a core dumped error #2267

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kdaning opened this issue Jan 17, 2025 · 0 comments
Open

Using Vector(LinRange(0, Lmax, Lmax+1)) inside a function to be differentiated causes a core dumped error #2267

kdaning opened this issue Jan 17, 2025 · 0 comments

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@kdaning
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kdaning commented Jan 17, 2025

I’m differentiating a function calculateDifferentialCrossSection() with respect to the parameters of a neural network. I’m getting a “core dumped” error when passing a parameter Lmax to the function which is then passed to Vector(LinRange(0, Lmax, Lmax+1)) inside that function. For some reason, bringing Vector(LinRange(0, Lmax, Lmax+1)) outside the function and passing the full vector to it instead of Lmax solved this problem.

I’m running on Julia 1.10.6.

# Test coreloop diff with Enzyme

begin # Packages
    using SpecialFunctions
    using BenchmarkTools
    using SphericalHarmonics
    using Enzyme
    using Flux
    using CGcoefficient
end
CGcoefficient.wigner_init_float(14, "Jmax", 6)

# set global constants
begin
    const global amu = 931.4943335
    const global mun = 1.008664891*amu      # Neutron mass
    const global muz = 1.007276487*amu      # Proton mass
    const global ħ = 197.3269804            # fm-MeV
    const global pion = 134.9768            # pion mass
    const global pi = 3.14159
end

begin # Functions
    # Coulomb funcs
    function GL(k, r, L)
        return -k*r*sphericalbessely(L, k*r)
    end
    function FL(k, r, L)
        return k*r*sphericalbesselj(L, k*r)
    end 

    # Spherical Hankel functions
    function Hminus(k, r, L)
        return complex(GL(k, r, L), -FL(k, r, L))
    end
    function Hplus(k, r, L)
        return complex(GL(k, r, L), FL(k, r, L))
    end

    # Derivatives
    enzR_Hminusprime(k, r, L) =
        complex(Enzyme.gradient(Reverse, x -> GL(k, x, L), r)[1], -Enzyme.gradient(Reverse, x -> FL(k, x, L), r)[1])
    enzR_Hplusprime(k, r, L) =
        complex(Enzyme.gradient(Reverse, x -> GL(k, x, L), r)[1], Enzyme.gradient(Reverse, x -> FL(k, x, L), r)[1])

    enzF_Hminusprime(k, r, L) =
        complex(Enzyme.gradient(Forward, x -> GL(k, x, L), r)[1], -Enzyme.gradient(Forward, x -> FL(k, x, L), r)[1])
    enzF_Hplusprime(k, r, L) =
        complex(Enzyme.gradient(Forward, x -> GL(k, x, L), r)[1], Enzyme.gradient(Forward, x -> FL(k, x, L), r)[1])

    function calculateEcm(E, N, Z)
        return E*(mun*N + muz*Z) / ((N + 1)*mun + muz*Z)
    end

    function calculateMu(N, Z)
        return (N*mun + Z*muz)*mun/(N*mun + Z*muz + mun)    # assumes neutron reactions
    end

    function calculateK(μ, Ecm)
        return sqrt(2*Ecm*μ)/ħ
    end
    
    function build_model(n_in, n_out, n_layers, n_nodes, act_fun=relu, last_fun=relu)
        first_layer = Flux.Dense(n_in, n_nodes, act_fun)
        # hidden_layers = [Flux.Dense(n_in => n_nodes, act_fun) for _ in 1:n_layers-1]
        last_layer = Flux.Dense(n_nodes => n_out)
        m = Chain(first_layer, Flux.Dense(n_nodes => n_nodes, act_fun), Flux.Dense(n_nodes => n_nodes, act_fun),
            Flux.Dense(n_nodes => n_nodes, act_fun), Flux.Dense(n_nodes => n_nodes, act_fun), last_layer) |> f64
        return m
    end

    function eval_model(m, x)
        # x_eval = convert(Array{Float32}, normalize_to_existing(x, tx))
        # x_eval = normalize_to_existing(x, tx)
        # println("x_eval: " * string(x_eval))
        X = m(x)
        # Z = denormalize_data(M, ty)
        return X
    end

    # Combine x with r for use by neural network
    function combex(x, r)
        xlen = size(x)[1]
        rlen = size(r)[1]
        X = zeros(eltype(x), xlen*rlen, size(x)[2]+1)
        for i in 1:1:xlen
            X[(i-1)*rlen+1:i*rlen, 1] = r
            for j in (i-1)*rlen+1:1:i*rlen
                X[j, 2:end] = x[i,:]
            end
        end
        return X'
    end

    # Other needed funcs
    function calculateCG(j1, m1, j2, m2, j3, m3)
        dj1, dj2, dj3, dm1, dm2, dm3 = all_doubles(j1, j2, j3, m1, m2, m3)
        cg = CGcoefficient.fCG(dj1, dj2, dj3, dm1, dm2, dm3)
        return cg
    end

    function double_hint(j)
        dj = Int(2*j)
    end
    
    function all_doubles(j1, j2, j3, m1, m2, m3)
        dj1, dj2, dj3, dm1, dm2, dm3 = double_hint(j1), double_hint(j2), double_hint(j3), double_hint(m1), double_hint(m2), double_hint(m3)
        return dj1, dj2, dj3, dm1, dm2, dm3
    end
end

begin # Functions to differentiate
    # Core loop
    function CalculateSL(U, L, μ, k, r, Ecm)
        dr = r[2] - r[1]
        len = size(r)[1]-1
        ur1, ur2, ur3 = 0.0, 0.0, 0.0
        ui1, ui2, ui3 = 0.0, 0.0, 0.0
        dur1, dur2, dur3 = 0.0, 0.0, 0.0
        dui1, dui2, dui3 = 0.0, 0.0, 0.0
        a = r[end-2]
        ur2 = 1e-6
        ui1 = 1e-12  # ideally these are all always Float32, or all always Float64
        ui2 = 1e-6
        for i in 3:len
            vreal = Ecm - U[i,1]
            vimag = -U[i,2]
            w = 2*μ/ħ^2*complex(vreal, vimag) - L*(L+1)/r[i]^2
            vreal = Ecm -U[i-1,1]
            vimag = -U[i-1,2]
            wmo = 2*μ/ħ^2*complex(vreal, vimag) - L*(L+1)/r[i]^2
            vreal = Ecm - U[i+1,1]
            vimag = -U[i+1,2]
            wpo = 2*μ/ħ^2*complex(vreal, vimag) - L*(L+1)/r[i]^2
            uval = (2*complex(ur2,ui2)-complex(ur1,ui1)-(dr^2/12)*(10*w*complex(ur2,ui2)+wmo*complex(ur1,ui1)))/(1+(dr^2/12)*wpo)
            
            ur3 = real.(uval)
            dur3 = 0.5*(ur3-ur1)/dr
            ui3 = imag.(uval)
            dui3 = 0.5*(ui3-ui1)/dr
    
            ur1, ur2 = ur2, ur3
            dur1, dur2 = dur2, dur3
            ui1, ui2 = ui2, ui3
            dui1, dui2 = dui2, dui3
        end
        ua = complex(ur2,ui2)
        dua = complex(dur3,dui3)
        
        RL = ua / dua
        # SLtop = Hminus(k, a, L) - RL*enzR_Hminusprime(k, a, L)
        # SLbot = Hplus(k, a, L) - RL*enzR_Hplusprime(k, a, L)
        SLtop = Hminus(k, a, L) - RL*enzF_Hminusprime(k, a, L)
        SLbot = Hplus(k, a, L) - RL*enzF_Hplusprime(k, a, L)
    
        SL = SLtop/SLbot
        return [real(SL), imag(SL)]
    end

    # S matrix
    function calculateSMatrix(U, Lrange, μ, k, r, Ecm)
        SLR = zeros(eltype(U), size(Lrange))
        SLI = zeros(eltype(U), size(Lrange))
        for L in Lrange
            i = Int(L+1)
            SLR[i], SLI[i] = CalculateSL(U, L, μ, k, r, Ecm)
        end
        return SLR, SLI
    end

    function calculateDifferentialCrossSection(A, Z, E, U, r, dr, theta, Lmax)
        # Secondary calcs
        N = A - Z
        Ecm = calculateEcm(E, N, Z)
        μ = calculateMu(N, Z)
        k = calculateK(μ, Ecm)
        Lrange = Vector(LinRange(0, Lmax, Lmax+1))

        # S matrix
        SLR, SLI = calculateSMatrix(U, Lrange, μ, k, r, Ecm)
        mi = 0
        imag1 = complex(0, 1)
        TR = zeros(eltype(U), size(Lrange)[1],2,2)
        TI = zeros(eltype(U), size(Lrange)[1],2,2)
        thetaRad = theta*pi/180
        dxsSO = zeros(eltype(U), size(thetaRad)[1], 2)
        ki = 1
        for upi in LinRange(-0.5, 0.5, 2)
            up = upi
            uti = 0
            ut = uti
            mpi = upi
            mtot = upi + uti
            mp = mtot - ut
            global m = mp - up
            for L in Lrange
                L = Int(L)
                if L == 0
                    Jp = L + 0.5
                    Jtot = Jp
                    if abs(upi)<=Jp && abs(uti+uti)<=Jtot && abs(upi+uti-ut-up)<=L && abs(upi+uti-ut)<=Jp
                        cg1 = calculateCG(L,mi,0.5,upi,Jp,mpi)
                        cg2 = calculateCG(Jp,mpi,0.0,uti,Jtot,mtot)
                        cg3 = calculateCG(L,m,0.5,up,Jp,mp)
                        cg4 = calculateCG(Jp,mp,0.0,ut,Jtot,mtot)
                        CGALL = cg1*cg2*cg3*cg4
                        temp = (imag1*sqrt(pi)/k)*CGALL*(1-complex(SLR[L+1],SLI[L+1]))*sqrt(2*L+1)
                        TR[L+1,1,ki] = real(temp)
                        TI[L+1,1,ki] = imag(temp)
                    else
                        TR[L+1,1,ki] = 0.
                        TI[L+1,1,ki] = 0.
                    end
                else
                    count = 1
                    for Jp in LinRange(L-0.5, L+0.5, 2)
                        Jtot = Jp
                        if abs(upi)<=Jp && abs(upi+uti)<=Jtot && abs(upi+uti-ut-up)<=L && abs(upi+uti-ut)<=Jp
                            cg1 = calculateCG(L,mi,0.5,upi,Jp,mpi)
                            cg2 = calculateCG(Jp,mpi,0.0,uti,Jtot,mtot)
                            cg3 = calculateCG(L,m,0.5,up,Jp,mp)
                            cg4 = calculateCG(Jp,mp,0.0,ut,Jtot,mtot)
                            CGALL = cg1*cg2*cg3*cg4
                            temp = (imag1*sqrt(pi)/k)*CGALL*(1-complex(SLR[L+1],SLI[L+1]))*sqrt(2*L+1)
                            TR[L+1,count,ki] = real(temp)
                            TI[L+1,count,ki] = imag(temp)
                        else
                            TR[L+1,count,ki] = 0.
                            TI[L+1,count,ki] = 0.
                        end
                        count += 1
                    end
                end
            end
            ki = ki+1
        end
        num_angs = size(theta)[1]
        fn = zeros(Complex, num_angs, Lmax+1, 2)
        for i in 1:1:num_angs
            SH = SphericalHarmonics.computeYlm(thetaRad[i], 0, lmax=Lmax)
            # Do a sum over the appropriate elements of SH and multiply by TR, TI
            for j in 1:1:Lmax+1
                L = Int(Lrange[j])
                for ki in 1:2
                    fn[i, j, ki] = SH[(L,Int(m))]*complex(TR[L+1,1,ki]+TR[L+1,2,ki] , TI[L+1,1,ki]+TI[L+1,2,ki])
                end
            end
        end
        for ki in 1:2
            dxsSO[:,ki] = abs.(sum(fn[:,:,ki],dims=2)).^2
        end
        dxsSO_return = 5 .*sum(dxsSO,dims=2)
        return dxsSO_return
    end
end

# Set up particular scattering problem
A = 65.
Z = 29.
N = A - Z
E = 10.
L = 14
Lrange = Vector(LinRange(0, L, L+1))
r = Vector(LinRange(0, 20, 2000))
dr = r[2] - r[1]
theta = Vector(LinRange(10, 170, 20))

# Model
x = [A Z E]
X = combex(x, r)
m = build_model(4, 2, 4, 16)
params, re = Flux.destructure(m)

# Derivative of differential cross section wrt NN parameters
Enzyme.jacobian(set_runtime_activity(Reverse), p -> calculateDifferentialCrossSection(A, Z, E, eval_model(re(p), X)', r, dr, theta, L), params)

Error message:

julia> include("coredump.jl")
julia: /workspace/srcdir/Enzyme/build/Enzyme/CallDerivatives.inc:1785: bool AdjointGenerator::handleKnownCallDerivatives(llvm::CallInst&, llvm::Function*, llvm::StringRef, const std::vector<bool>&, llvm::CallInst*): Assertion `gutils->isConstantValue(call.getOperand(0))' failed.

[1955881] signal (6.-6): Aborted
in expression starting at /vast/home/daningburg/nuclear-diffprog/MWEs/coredump.jl:275
gsignal at /lib64/libc.so.6 (unknown line)
abort at /lib64/libc.so.6 (unknown line)
__assert_fail_base.cold.0 at /lib64/libc.so.6 (unknown line)
__assert_fail at /lib64/libc.so.6 (unknown line)
handleKnownCallDerivatives at /workspace/srcdir/Enzyme/build/Enzyme/CallDerivatives.inc:1785
visitCallInst at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:6278
visit at /opt/x86_64-linux-gnu/x86_64-linux-gnu/sys-root/usr/local/include/llvm/IR/InstVisitor.h:111 [inlined]
CreatePrimalAndGradient at /workspace/srcdir/Enzyme/enzyme/Enzyme/EnzymeLogic.cpp:4305
recursivelyHandleSubfunction at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:5742
visitCallInst at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:6479
visit at /opt/x86_64-linux-gnu/x86_64-linux-gnu/sys-root/usr/local/include/llvm/IR/InstVisitor.h:111 [inlined]
CreatePrimalAndGradient at /workspace/srcdir/Enzyme/enzyme/Enzyme/EnzymeLogic.cpp:4305
recursivelyHandleSubfunction at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:5742
visitCallInst at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:6479
visit at /opt/x86_64-linux-gnu/x86_64-linux-gnu/sys-root/usr/local/include/llvm/IR/InstVisitor.h:111 [inlined]
CreatePrimalAndGradient at /workspace/srcdir/Enzyme/enzyme/Enzyme/EnzymeLogic.cpp:4305
recursivelyHandleSubfunction at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:5742
visitCallInst at /workspace/srcdir/Enzyme/enzyme/Enzyme/AdjointGenerator.h:6479
visit at /opt/x86_64-linux-gnu/x86_64-linux-gnu/sys-root/usr/local/include/llvm/IR/InstVisitor.h:111 [inlined]
CreatePrimalAndGradient at /workspace/srcdir/Enzyme/enzyme/Enzyme/EnzymeLogic.cpp:4305
EnzymeCreatePrimalAndGradient at /workspace/srcdir/Enzyme/enzyme/Enzyme/CApi.cpp:633
EnzymeCreatePrimalAndGradient at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/api.jl:268
unknown function (ip: 0x1495b42d751e)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
enzyme! at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:1554
#codegen#18938 at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:4436
codegen at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:3239 [inlined]
_thunk at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5288
_thunk at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5288 [inlined]
cached_compilation at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5340 [inlined]
thunkbase at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5451
thunk_generator at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5636
jfptr_thunk_generator_32178 at /vast/home/daningburg/.julia/compiled/v1.10/Enzyme/G1p5n_WrRgF.so (unknown line)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_call_staged at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/method.c:540
ijl_code_for_staged at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/method.c:593
get_staged at ./compiler/utilities.jl:123
retrieve_code_info at ./compiler/utilities.jl:135 [inlined]
InferenceState at ./compiler/inferencestate.jl:430
typeinf_edge at ./compiler/typeinfer.jl:920
abstract_call_method at ./compiler/abstractinterpretation.jl:629
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_known at ./compiler/abstractinterpretation.jl:2087
abstract_call at ./compiler/abstractinterpretation.jl:2169
abstract_call at ./compiler/abstractinterpretation.jl:2162
abstract_call at ./compiler/abstractinterpretation.jl:2354
abstract_eval_call at ./compiler/abstractinterpretation.jl:2370
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2380
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2624
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2913
typeinf_local at ./compiler/abstractinterpretation.jl:3098
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3186
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_ext at ./compiler/typeinfer.jl:1051
typeinf_ext_toplevel at ./compiler/typeinfer.jl:1082
typeinf_ext_toplevel at ./compiler/typeinfer.jl:1078
jfptr_typeinf_ext_toplevel_35741.1 at /vast/home/daningburg/.julia/julia-1.10.6/lib/julia/sys.so (unknown line)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_apply at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/julia.h:1982 [inlined]
jl_type_infer at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:394
jl_generate_fptr_impl at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/jitlayers.cpp:504
jl_compile_method_internal at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2481 [inlined]
jl_compile_method_internal at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2368
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2887 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
#17 at /vast/home/daningburg/nuclear-diffprog/MWEs/coredump.jl:275 [inlined]
augmented_julia__17_436wrap at /vast/home/daningburg/nuclear-diffprog/MWEs/coredump.jl:0
macro expansion at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:5218 [inlined]
enzyme_call at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:4764 [inlined]
AugmentedForwardThunk at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/compiler.jl:4700
unknown function (ip: 0x1495b43543d9)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
#130 at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/sugar.jl:928 [inlined]
macro expansion at ./ntuple.jl:72 [inlined]
ntuple at ./ntuple.jl:69 [inlined]
#jacobian#129 at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/sugar.jl:924
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jacobian at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/sugar.jl:841 [inlined]
#jacobian#129 at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/sugar.jl:856 [inlined]
jacobian at /vast/home/daningburg/.julia/packages/Enzyme/ydGh2/src/sugar.jl:841
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_apply at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/julia.h:1982 [inlined]
do_call at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:126
eval_value at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:223
eval_stmt_value at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:174 [inlined]
eval_body at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:617
jl_interpret_toplevel_thunk at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:775
jl_toplevel_eval_flex at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:934
jl_toplevel_eval_flex at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:877
ijl_toplevel_eval_in at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
include_string at ./loading.jl:2076
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
_include at ./loading.jl:2136
include at ./client.jl:494
unknown function (ip: 0x1495b4284185)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_apply at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/julia.h:1982 [inlined]
do_call at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:126
eval_value at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:223
eval_stmt_value at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:174 [inlined]
eval_body at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:617
jl_interpret_toplevel_thunk at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/interpreter.c:775
jl_toplevel_eval_flex at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:934
jl_toplevel_eval_flex at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:877
ijl_toplevel_eval_in at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
eval_user_input at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:150
repl_backend_loop at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:246
#start_repl_backend#46 at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:231
start_repl_backend at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:228
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
#run_repl#59 at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:389
run_repl at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/usr/share/julia/stdlib/v1.10/REPL/src/REPL.jl:375
jfptr_run_repl_91949.1 at /vast/home/daningburg/.julia/julia-1.10.6/lib/julia/sys.so (unknown line)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
#1013 at ./client.jl:437
jfptr_YY.1013_82918.1 at /vast/home/daningburg/.julia/julia-1.10.6/lib/julia/sys.so (unknown line)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_apply at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/julia.h:1982 [inlined]
jl_f__call_latest at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/builtins.c:812
#invokelatest#2 at ./essentials.jl:892 [inlined]
invokelatest at ./essentials.jl:889 [inlined]
run_main_repl at ./client.jl:421
exec_options at ./client.jl:338
_start at ./client.jl:557
jfptr__start_82944.1 at /vast/home/daningburg/.julia/julia-1.10.6/lib/julia/sys.so (unknown line)
_jl_invoke at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:2895 [inlined]
ijl_apply_generic at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/gf.c:3077
jl_apply at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/julia.h:1982 [inlined]
true_main at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/jlapi.c:582
jl_repl_entrypoint at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/src/jlapi.c:731
main at /cache/build/builder-amdci5-5/julialang/julia-release-1-dot-10/cli/loader_exe.c:58
__libc_start_main at /lib64/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
Allocations: 111617459 (Pool: 111514608; Big: 102851); GC: 141
Aborted (core dumped)
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