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Failing Enzyme tests

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5/5
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Độ rõ ràng
Cần làm rõ
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Đình trệ
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julia
Lĩnh vực
backend, testing

Hướng nghiên cứu

Bắt đầu với test/Back/Enzyme/playground.jl:37 và tái hiện hai ví dụ bằng cách sử dụng thiết lập chung trong issue. Truy vết các lỗi qua ext/DifferentiationInterfaceEnzymeExt/utils.jl:99 và forward_onearg.jl:151, sau đó tham khảo các issue Enzyme được liên kết. Hoàn tất khi các trường hợp Enzyme bị vô hiệu hóa đã được giải quyết và có thể được khôi phục mà không gặp các lỗi này.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.

Mô tả

backend

An issue to list some failing Enzyme tests which I deactivated.

Common setup:

using DifferentiationInterface
import DifferentiationInterfaceTest as DIT
using SparseConnectivityTracer
using SparseMatrixColorings
import Enzyme

function MyAutoSparse(backend)
    return AutoSparse(
        backend;
        sparsity_detector=TracerSparsityDetector(),
        coloring_algorithm=GreedyColoringAlgorithm(),
    )
end

Forward-over-forward HVP (see also https://github.com/EnzymeAD/Enzyme.jl/issues/2437):

julia> hvp(
           sum,
           SecondOrder(AutoEnzyme(; mode=Enzyme.Forward), AutoEnzyme(; mode=Enzyme.Forward)),
           [1.0],
           ([1.0],),
       )
ERROR: 
No forward mode derivative found for jl_get_builtin_fptr
 at context:   %10 = call {} addrspace(10)* ({} addrspace(10)*, {} addrspace(10)**, i32)* @jl_get_builtin_fptr({} addrspace(10)* noundef addrspacecast ({}* inttoptr (i64 4725148592 to {}*) to {} addrspace(10)*)) #14, !dbg !38

Stacktrace:
 [1] make_context_shadows
   @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/utils.jl:99
 [2] prepare_gradient_nokwarg
   @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_onearg.jl:151


Stacktrace:
  [1] make_context_shadows
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/utils.jl:99 [inlined]
  [2] prepare_gradient_nokwarg
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_onearg.jl:151
  [3] gradient
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/gradient.jl:62
  [4] shuffled_gradient
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/gradient.jl:160 [inlined]
  [5] fwddiffejulia_shuffled_gradient_360996wrap
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/gradient.jl:0
  [6] macro expansion
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5717 [inlined]
  [7] enzyme_call
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5251 [inlined]
  [8] ForwardModeThunk
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5153 [inlined]
  [9] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:669 [inlined]
 [10] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:558 [inlined]
 [11] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:530 [inlined]
 [12] pushforward
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_onearg.jl:76 [inlined]
 [13] hvp
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/second_order/hvp.jl:331 [inlined]
 [14] hvp(::typeof(sum), ::SecondOrder{AutoEnzyme{…}, AutoEnzyme{…}}, ::Vector{Float64}, ::Tuple{Vector{…}})
    @ DifferentiationInterface ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/second_order/hvp.jl:75
 [15] top-level scope
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/test/Back/Enzyme/playground.jl:37
Some type information was truncated. Use `show(err)` to see complete types.

Forward-over-reverse second derivative with matrix output (doesn't happen with vector output) (see https://github.com/EnzymeAD/Enzyme.jl/issues/2635):

julia> second_derivative(
           DIT.num_to_mat,
           SecondOrder(AutoEnzyme(; mode=Enzyme.Forward), AutoEnzyme(; mode=Enzyme.Reverse)),
           1.0,
       )
ERROR: AssertionError: ; Function Attrs: mustprogress willreturn
define internal fastcc { { { {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)* addrspace(10)*, i64*, i64*, i1*, i64* }, {} addrspace(10)*, {} addrspace(10)* }, { { {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)*, {} addrspace(10)* addrspace(10)*, i64*, i64*, i1*, i64* }, {} addrspace(10)*, {} addrspace(10)* } } @fwddiffeaugmented_julia_collect_304589({ [1 x [2 x {} addrspace(10)*]], [1 x [2 x [2 x i64]]] } addrspace(11)* nocapture noundef nonnull readonly align 8 dereferenceable(48) "enzyme_type"="{[-1]:Pointer, [-1,0]:Pointer, [-1,0,0]:Pointer, [-1,0,0,-1]:Float@double, [-1,0,8]:Pointer, [-1,0,8,0]:Integer, [-1,0,8,1]:Integer, [-1,0,8,2]:Integer, [-1,0,8,3]:Integer, [-1,0,8,4]:Integer, [-1,0,8,5]:Integer, [-1,0,8,6]:Integer, [-1,0,8,7]:Integer, [-1,0,8,8]:Pointer, [-1,0,8,8,-1]:Float@double, [-1,0,16]:Integer, [-1,0,17]:Integer, [-1,0,18]:Integer, [-1,0,19]:Integer, [-1,0,20]:Integer, [-1,0,21]:Integer, [-1,0,22]:Integer, [-1,0,23]:Integer, [-1,8]:Pointer, [-1,8,0]:Pointer, [-1,8,0,-1]:Float@double, [-1,8,8]:Pointer, [-1,8,8,0]:Integer, [-1,8,8,1]:Integer, [-1,8,8,2]:Integer, [-1,8,8,3]:Integer, [-1,8,8,4]:Integer, [-1,8,8,5]:Integer, [-1,8,8,6]:Integer, [-1,8,8,7]:Integer, [-1,8,8,8]:Pointer, [-1,8,8,8,-1]:Float@double, [-1,8,16]:Integer, [-1,8,17]:Integer, [-1,8,18]:Integer, [-1,8,19]:Integer, [-1,8,20]:Integer, [-1,8,21]:Integer, [-1,8,22]:Integer, [-1,8,23]:Integer, [-1,16]:Integer, [-1,17]:Integer, [-1,18]:Integer, [-1,19]:Integer, [-1,20]:Integer, [-1,21]:Integer, [-1,22]:Integer, [-1,23]:Integer, [-1,24]:Integer, [-1,25]:Integer, [-1,26]:Integer, [-1,27]:Integer, [-1,28]:Integer, [-1,29]:Integer, [-1,30]:Integer, [-1,31]:Integer, [-1,32]:Integer, [-1,33]:Integer, [-1,34]:Integer, [-1,35]:Integer, [-1,36]:Integer, [-1,37]:Integer, [-1,38]:Integer, [-1,39]:Integer, [-1,40]:Integer, [-1,41]:Integer, [-1,42]:Integer, [-1,43]:Integer, [-1,44]:Integer, [-1,45]:Integer, [-1,46]:Integer, [-1,47]:Integer}" "enzymejl_parmtype"="13174803792" "enzymejl_parmtype_ref"="1" %0, { [1 x [2 x {} addrspace(10)*]], [1 x [2 x [2 x i64]]] } addrspace(11)* nocapture align 8 "enzyme_type"="{[-1]:Pointer, [-1,0]:Pointer, [-1,0,0]:Pointer, [-1,0,0,-1]:Float@double, [-1,0,8]:Pointer, [-1,0,8,0]:Integer, [-1,0,8,1]:Integer, [-1,0,8,2]:Integer, [-1,0,8,3]:Integer, [-1,0,8,4]:Integer, [-1,0,8,5]:Integer, [-1,0,8,6]:Integer, [-1,0,8,7]:Integer, [-1,0,8,8]:Pointer, [-1,0,8,8,-1]:Float@double, [-1,0,16]:Integer, [-1,0,17]:Integer, [-1,0,18]:Integer, [-1,0,19]:Integer, [-1,0,20]:Integer, [-1,0,21]:Integer, [-1,0,22]:Integer, [-1,0,23]:Integer, [-1,8]:Pointer, [-1,8,0]:Pointer, [-1,8,0,-1]:Float@double, [-1,8,8]:Pointer, [-1,8,8,0]:Integer, [-1,8,8,1]:Integer, [-1,8,8,2]:Integer, [-1,8,8,3]:Integer, [-1,8,8,4]:Integer, [-1,8,8,5]:Integer, [-1,8,8,6]:Integer, [-1,8,8,7]:Integer, [-1,8,8,8]:Pointer, [-1,8,8,8,-1]:Float@double, [-1,8,16]:Integer, [-1,8,17]:Integer, [-1,8,18]:Integer, [-1,8,19]:Integer, [-1,8,20]:Integer, [-1,8,21]:Integer, [-1,8,22]:Integer, [-1,8,23]:Integer, [-1,16]:Integer, [-1,17]:Integer, [-1,18]:Integer, [-1,19]:Integer, [-1,20]:Integer, [-1,21]:Integer, [-1,22]:Integer, [-1,23]:Integer, [-1,24]:Integer, [-1,25]:Integer, [-1,26]:Integer, [-1,27]:Integer, [-1,28]:Integer, [-1,29]:Integer, [-1,30]:Integer, [-1,31]:Integer, [-1,32]:Integer, [-1,33]:Integer, [-1,34]:Integer, [-1,35]:Integer, [-1,36]:Integer, [-1,37]:Integer, [-1,38]:Integer, [-1,39]:Integer, [-1,40]:Integer, [-1,41]:Integer, [-1,42]:Integer, [-1,43]:Integer, [-1,44]:Integer, [-1,45]:Integer, [-1,46]:Integer, [-1,47]:Integer}" "enzymejl_parmtype"="13174803792" "enzymejl_parmtype_ref"="1" %"'", { [1 x [2 x {} addrspace(10)*]], [1 x [2 x [2 x i64]]] } addrspace(11)* nocapture readonly align 8 "enzyme_type"="{[-1]:Pointer, [-1,0]:Pointer, [-1,0,0]:Pointer, [-1,0,0,-1]:Float@double, [-1,0,8]:Pointer, [-1,0,8,0]:Integer, [-1,0,8,1]:Integer, [-1,0,8,2]:Integer, [-1,0,8,3]:Integer, [-1,0,8,4]:Integer, [-1,0,8,5]:Integer, [-1,0,8,6]:Integer, [-1,0,8,7]:Integer, [-1,0,8,8]:Pointer, [-1,0,8,8,-1]:Float@double, [-1,0,16]:Integer, [-1,0,17]:Integer, [-1,0,18]:Integer, [-1,0,19]:Integer, [-1,0,20]:Integer, [-1,0,21]:Integer, [-1,0,22]:Integer, [-1,0,23]:Integer, [-1,8]:Pointer, [-1,8,0]:Pointer, [-1,8,0,-1]:Float@double, [-1,8,8]:Pointer, [-1,8,8,0]:Integer, [-1,8,8,1]:Integer, [-1,8,8,2]:Integer, [-1,8,8,3]:Integer, [-1,8,8,4]:Integer, [-1,8,8,5]:Integer, [-1,8,8,6]:Integer, [-1,8,8,7]:Integer, [-1,8,8,8]:Pointer, [-1,8,8,8,-1]:Float@double, [-1,8,16]:Integer, [-1,8,17]:Integer, [-1,8,18]:Integer, [-1,8,19]:Integer, [-1,8,20]:Integer, [-1,8,21]:Integer, [-1,8,22]:Integer, [-1,8,23]:Integer, [-1,16]:Integer, [-1,17]:Integer, [-1,18]:Integer, [-1,19]:Integer, [-1,20]:Integer, [-1,21]:Integer, [-1,22]:Integer, [-1,23]:Integer, [-1,24]:Integer, [-1,25]:Integer, [-1,26]:Integer, [-1,27]:Integer, [-1,28]:Integer, [-1,29]:Integer, [-1,30]:Integer, [-1,31]:Integer, [-1,32]:Integer, [-1,33]:Integer, [-1,34]:Integer, [-1,35]:Integer, [-1,36]:Integer, [-1,37]:Integer, [-1,38]:Integer, [-1,39]:Integer, [-1,40]:Integer, [-1,41]:Integer, [-1,42]:Integer, [-1,43]:Integer, [-1,44]:Integer, [-1,45]:Integer, [-1,46]:Integer, [-1,47]:Integer}" "enzymejl_parmtype"="13174803792" "enzymejl_parmtype_ref"="1" %"'1", { [1 x [2 x {} addrspace(10)*]], [1 x [2 x [2 x i64]]] } addrspace(11)* nocapture align 8 "enzyme_type"="{[-1]:Pointer, [-1,0]:Pointer, [-1,0,0]:Pointer, [-1,0,0,-1]:Float@double, [-1,0,8]:Pointer, [-1,0,8,0]:Integer, [-1,0,8,1]:Integer, [-1,0,8,2]:Integer, [-1,0,8,3]:Integer, [-1,0,8,4]:Integer, [-1,0,8,5]:Integer, [-1,0,8,6]:Integer, [-1,0,8,7]:Integer, [-1,0,8,8]:Pointer, [-1,0,8,8,-1]:Float@double, [-1,0,16]:Integer, [-1,0,17]:Integer, [-1,0,18]:Integer, [-1,0,19]:Integer, [-1,0,20]:Integer, [-1,0,21]:Integer, [-1,0,22]:Integer, [-1,0,23]:Integer, [-1,8]:Pointer, [-1,8,0]:Pointer, [-1,8,0,-1]:Float@double, [-1,8,8]:Pointer, [-1,8,8,0]:Integer, [-1,8,8,1]:Integer, [-1,8,8,2]:Integer, [-1,8,8,3]:Integer, [-1,8,8,4]:Integer, [-1,8,8,5]:Integer, [-1,8,8,6]:Integer, [-1,8,8,7]:Integer, [-1,8,8,8]:Pointer, [-1,8,8,8,-1]:Float@double, [-1,8,16]:Integer, [-1,8,17]:Integer, [-1,8,18]:Integer, [-1,8,19]:Integer, [-1,8,20]:Integer, [-1,8,21]:Integer, [-1,8,22]:Integer, [-1,8,23]:Integer, [-1,16]:Integer, [-1,17]:Integer, [-1,18]:Integer, [-1,19]:Integer, [-1,20]:Integer, [-1,21]:Integer, [-1,22]:Integer, [-1,23]:Integer, [-1,24]:Integer, [-1,25]:Integer, [-1,26]:Integer, [-1,27]:Integer, [-1,28]:Integer, [-1,29]:Integer, [-1,30]:Integer, [-1,31]:Integer, [-1,32]:Integer, [-1,33]:Integer, [-1,34]:Integer, [-1,35]:Integer, [-1,36]:Integer, [-1,37]:Integer, [-1,38]:Integer, [-1,39]:Integer, [-1,40]:Integer, [-1,41]:Integer, [-1,42]:Integer, [-1,43]:Integer, [-1,44]:Integer, [-1,45]:Integer, [-1,46]:Integer, [-1,47]:Integer}" "enzymejl_parmtype"="13174803792" "enzymejl_parmtype_ref"="1" %"''") unnamed_addr #30 !dbg !5104 {
top:
  %1 = call {}*** @julia.get_pgcstack() #53
  %2 = alloca [1 x i64], align 8
  %3 = alloca [1 x i64], align 8
  %4 = alloca [1 x i64], align 8
 ...

 Allocation could not have its type statically determined   %226 = call noalias nonnull "enzyme_ReadOnlyOrThrow" "enzyme_type"="{[-1]:Pointer}" {} addrspace(10)* @julia.gc_alloc_obj({}* nonnull %17, i64 %197, {} addrspace(10)* %224) #60, !dbg !272
Stacktrace:
  [1] shadow_alloc_rewrite(V::Ptr{…}, gutils::Ptr{…}, Orig::Ptr{…}, idx::UInt64, prev::Ptr{…}, used::UInt8)
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:1516
  [2] EnzymeCreateForwardDiff(logic::Enzyme.Logic, todiff::LLVM.Function, retType::Enzyme.API.CDIFFE_TYPE, constant_args::Vector{…}, TA::Enzyme.TypeAnalysis, returnValue::Bool, mode::Enzyme.API.CDerivativeMode, runtimeActivity::Bool, strongZero::Bool, width::Int64, additionalArg::Ptr{…}, typeInfo::Enzyme.FnTypeInfo, uncacheable_args::Vector{…})
    @ Enzyme.API ~/.julia/packages/Enzyme/HWLY7/src/api.jl:342
  [3] enzyme!(job::GPUCompiler.CompilerJob{…}, interp::Enzyme.Compiler.Interpreter.EnzymeInterpreter{…}, mod::LLVM.Module, primalf::LLVM.Function, TT::Type, mode::Enzyme.API.CDerivativeMode, width::Int64, parallel::Bool, actualRetType::Type, wrap::Bool, modifiedBetween::NTuple{…} where N, returnPrimal::Bool, expectedTapeType::Type, loweredArgs::Set{…}, boxedArgs::Set{…})
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:2553
  [4] compile_unhooked(output::Symbol, job::GPUCompiler.CompilerJob{…})
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:4936
  [5] compile(target::Symbol, job::GPUCompiler.CompilerJob; kwargs::@Kwargs{})
    @ GPUCompiler ~/.julia/packages/GPUCompiler/Ecaql/src/driver.jl:67
  [6] compile
    @ ~/.julia/packages/GPUCompiler/Ecaql/src/driver.jl:55 [inlined]
  [7] _thunk(job::GPUCompiler.CompilerJob{…}, postopt::Bool)
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5790
  [8] _thunk
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5788 [inlined]
  [9] cached_compilation
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5845 [inlined]
 [10] thunkbase(mi::Core.MethodInstance, World::UInt64, FA::Type{…}, A::Type{…}, TT::Type, Mode::Enzyme.API.CDerivativeMode, width::Int64, ModifiedBetween::NTuple{…} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, edges::Vector{…})
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5959
 [11] thunk_generator(world::UInt64, source::Union{…}, FA::Type, A::Type, TT::Type, Mode::Enzyme.API.CDerivativeMode, Width::Int64, ModifiedBetween::NTuple{…} where N, ReturnPrimal::Bool, ShadowInit::Bool, ABI::Type, ErrIfFuncWritten::Bool, RuntimeActivity::Bool, StrongZero::Bool, self::Any, fakeworld::Any, fa::Type, a::Type, tt::Type, mode::Type, width::Type, modifiedbetween::Type, returnprimal::Type, shadowinit::Type, abi::Type, erriffuncwritten::Type, runtimeactivity::Type, strongzero::Type)
    @ Enzyme.Compiler ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:6152
 [12] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:654 [inlined]
 [13] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:558 [inlined]
 [14] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:530 [inlined]
 [15] pushforward(::typeof(DifferentiationInterface.shuffled_derivative), ::DifferentiationInterfaceEnzymeExt.EnzymeOneArgPushforwardPrep{…}, ::AutoEnzyme{…}, ::Float64, ::Tuple{…}, ::DifferentiationInterface.FunctionContext{…}, ::Constant{…}, ::Constant{…})
    @ DifferentiationInterfaceEnzymeExt ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_onearg.jl:76
 [16] derivative
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/derivative.jl:200 [inlined]
 [17] second_derivative
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/second_order/second_derivative.jl:126 [inlined]
 [18] second_derivative(::typeof(DifferentiationInterfaceTest.num_to_mat), ::SecondOrder{…}, ::Float64)
    @ DifferentiationInterface ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/second_order/second_derivative.jl:43
 [19] top-level scope
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/test/Back/Enzyme/playground.jl:45
Some type information was truncated. Use `show(err)` to see complete types.

Failing sparse example (see https://github.com/EnzymeAD/Enzyme.jl/issues/2634)

julia> jacobian(DIT.diffsquarecube_matvec!, zeros(10), AutoEnzyme(), rand(2, 3))
ERROR: Constant memory is stored (or returned) to a differentiable variable.
As a result, Enzyme cannot provably ensure correctness and throws this error.
This might be due to the use of a constant variable as temporary storage for active memory (https://enzyme.mit.edu/julia/stable/faq/#Runtime-Activity).
If Enzyme should be able to prove this use non-differentable, open an issue!
To work around this issue, either:
 a) rewrite this variable to not be conditionally active (fastest, but requires a code change), or
 b) set the Enzyme mode to turn on runtime activity (e.g. autodiff(set_runtime_activity(Reverse), ...) ). This will maintain correctness, but may slightly reduce performance.
 Failure within method: MethodInstance for Base.Broadcast.preprocess(::SubArray{…}, ::SubArray{…})
Hint: catch this exception as `err` and call `code_typed(err)` to inspect the errornous code.
If you have Cthulu.jl loaded you can also use `code_typed(err; interactive = true)` to interactively introspect the code.
Mismatched activity for:   %109 = insertvalue { { {} addrspace(10)*, [1 x [2 x i64]], i64, i64 }, [1 x i8], [1 x i64] } %108, [1 x i64] [i64 1], 2, !dbg !217 const val: [1 x i64] [i64 1]
Type tree: {[0]:Pointer, [0,0]:Pointer, [0,0,-1]:Float@double, [0,8]:Pointer, [0,8,0]:Integer, [0,8,1]:Integer, [0,8,2]:Integer, [0,8,3]:Integer, [0,8,4]:Integer, [0,8,5]:Integer, [0,8,6]:Integer, [0,8,7]:Integer, [0,8,8]:Pointer, [0,8,8,-1]:Float@double, [0,16]:Integer, [0,17]:Integer, [0,18]:Integer, [0,19]:Integer, [0,20]:Integer, [0,21]:Integer, [0,22]:Integer, [0,23]:Integer, [8]:Integer, [9]:Integer, [10]:Integer, [11]:Integer, [12]:Integer, [13]:Integer, [14]:Integer, [15]:Integer, [16]:Integer, [17]:Integer, [18]:Integer, [19]:Integer, [20]:Integer, [21]:Integer, [22]:Integer, [23]:Integer, [24]:Integer, [25]:Integer, [26]:Integer, [27]:Integer, [28]:Integer, [29]:Integer, [30]:Integer, [31]:Integer, [32]:Integer, [33]:Integer, [34]:Integer, [35]:Integer, [36]:Integer, [37]:Integer, [38]:Integer, [39]:Integer, [40]:Integer, [41]:Integer, [42]:Integer, [43]:Integer, [44]:Integer, [45]:Integer, [46]:Integer, [47]:Integer, [48]:Anything, [49]:Anything, [50]:Anything, [51]:Anything, [52]:Anything, [53]:Anything, [54]:Anything, [55]:Anything}
 llvalue=[1 x i64] [i64 1]

Stacktrace:
 [1] Extruded
   @ ./broadcast.jl:639
 [2] extrude
   @ ./broadcast.jl:645
 [3] preprocess
   @ ./broadcast.jl:953

Stacktrace:
  [1] Extruded
    @ ./broadcast.jl:639 [inlined]
  [2] extrude
    @ ./broadcast.jl:645 [inlined]
  [3] preprocess
    @ ./broadcast.jl:953
  [4] preprocess_args
    @ ./broadcast.jl:955 [inlined]
  [5] preprocess
    @ ./broadcast.jl:952 [inlined]
  [6] copyto!
    @ ./broadcast.jl:969 [inlined]
  [7] copyto!
    @ ./broadcast.jl:925 [inlined]
  [8] materialize!
    @ ./broadcast.jl:883 [inlined]
  [9] materialize!
    @ ./broadcast.jl:880 [inlined]
 [10] diffsquare!
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterfaceTest/src/scenarios/sparse.jl:9
 [11] diffsquarecube_matvec!
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterfaceTest/src/scenarios/sparse.jl:64 [inlined]
 [12] fwddiffe6julia_diffsquarecube_matvec__96226wrap
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterfaceTest/src/scenarios/sparse.jl:0
 [13] macro expansion
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5717 [inlined]
 [14] enzyme_call
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5251 [inlined]
 [15] ForwardModeThunk
    @ ~/.julia/packages/Enzyme/HWLY7/src/compiler.jl:5153 [inlined]
 [16] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:669 [inlined]
 [17] autodiff
    @ ~/.julia/packages/Enzyme/HWLY7/src/Enzyme.jl:538 [inlined]
 [18] value_and_pushforward(::typeof(DifferentiationInterfaceTest.diffsquarecube_matvec!), ::Vector{…}, ::DifferentiationInterfaceEnzymeExt.EnzymeTwoArgPushforwardPrep{…}, ::AutoEnzyme{…}, ::Matrix{…}, ::NTuple{…})
    @ DifferentiationInterfaceEnzymeExt ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:64
 [19] pushforward
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/ext/DifferentiationInterfaceEnzymeExt/forward_twoarg.jl:78 [inlined]
 [20] _jacobian_aux
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/jacobian.jl:364 [inlined]
 [21] jacobian(::typeof(DifferentiationInterfaceTest.diffsquarecube_matvec!), ::Vector{…}, ::DifferentiationInterface.PushforwardJacobianPrep{…}, ::AutoEnzyme{…}, ::Matrix{…})
    @ DifferentiationInterface ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/jacobian.jl:313
 [22] jacobian(::typeof(DifferentiationInterfaceTest.diffsquarecube_matvec!), ::Vector{…}, ::AutoEnzyme{…}, ::Matrix{…})
    @ DifferentiationInterface ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/src/first_order/jacobian.jl:107
 [23] top-level scope
    @ ~/Documents/GitHub/Julia/DifferentiationInterface.jl/DifferentiationInterface/test/Back/Enzyme/playground.jl:24
Some type information was truncated. Use `show(err)` to see complete types.
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