vchuravy
commented
5 months ago We need an update to the new GPUCompiler version
Open gdalle opened 5 months ago
vchuravy
commented
5 months ago We need an update to the new GPUCompiler version
mofeing
commented
1 month ago I'm getting the following error here
ERROR: LoadError: UndefVarError: `PassBuilder` not defined in `Enzyme.Compiler`
Stacktrace:
[1] macro expansion
@ ~/.julia/packages/LLVM/5DlHM/src/base.jl:96 [inlined]
[2] (::Enzyme.Compiler.var"#prop_julia_addr#28416"{LLVM.TargetMachine})(f::LLVM.Function)
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:75
[3] function_pass_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing})
@ LLVM ~/.julia/packages/LLVM/5DlHM/src/pass.jl:49
[4] LLVMRunPassManager
@ ~/.julia/packages/LLVM/5DlHM/lib/16/libLLVM.jl:3351 [inlined]
[5] run!
@ ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:39 [inlined]
[6] (::Enzyme.Compiler.var"#28512#28513"{LLVM.Module, LLVM.TargetMachine})(pm::LLVM.ModulePassManager)
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:2029
[7] LLVM.ModulePassManager(::Enzyme.Compiler.var"#28512#28513"{LLVM.Module, LLVM.TargetMachine}; kwargs::@Kwargs{})
@ LLVM ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:33
[8] ModulePassManager
@ ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:30 [inlined]
[9] optimize!
@ ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:1951 [inlined]
[10] codegen(output::Symbol, job::GPUCompiler.CompilerJob{Enzyme.Compiler.EnzymeTarget, Enzyme.Compiler.EnzymeCompilerParams}; libraries::Bool, deferred_codegen::Bool, optimize::Bool, toplevel::Bool, strip::Bool, validate::Bool, only_entry::Bool, parent_job::Nothing)
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:5787
[11] codegen
@ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:5194 [inlined]
[12] _thunk(job::GPUCompiler.CompilerJob{Enzyme.Compiler.EnzymeTarget, Enzyme.Compiler.EnzymeCompilerParams}, postopt::Bool)
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6682
[13] _thunk
@ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6682 [inlined]
[14] cached_compilation
@ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6720 [inlined]
[15] (::Enzyme.Compiler.var"#28633#28634"{Active, FFIABI, Const{typeof(loss_function)}, Enzyme.API.DEM_ReverseModeCombined, (false, false, false, false, false, false), true, false, Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}, 0x00000000000068d4, 1, Core.MethodInstance})(ctx::LLVM.Context)
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6795
[16] JuliaContext(f::Enzyme.Compiler.var"#28633#28634"{Active, FFIABI, Const{typeof(loss_function)}, Enzyme.API.DEM_ReverseModeCombined, (false, false, false, false, false, false), true, false, Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}, 0x00000000000068d4, 1, Core.MethodInstance}; kwargs::@Kwargs{})
@ GPUCompiler ~/.julia/packages/GPUCompiler/Y4hSX/src/driver.jl:52
[17] JuliaContext
@ ~/.julia/packages/GPUCompiler/Y4hSX/src/driver.jl:42 [inlined]
[18] thunkbase(mi::Core.MethodInstance, ::Val{0x00000000000068d4}, ::Type{Const{typeof(loss_function)}}, ::Type{Active}, tt::Type{Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}}, ::Val{Enzyme.API.DEM_ReverseModeCombined}, ::Val{1}, ::Val{(false, false, false, false, false, false)}, ::Val{true}, ::Val{false}, ::Type{FFIABI})
@ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6740
[19] #s2021#28635
@ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6826 [inlined]
[20] var"#s2021#28635"(FA::Any, A::Any, TT::Any, Mode::Any, ModifiedBetween::Any, width::Any, ReturnPrimal::Any, ShadowInit::Any, World::Any, ABI::Any, ::Any, ::Any, ::Any, ::Any, tt::Any, ::Any, ::Any, ::Any, ::Any, ::Any, ::Any)
@ Enzyme.Compiler ./none:0
[21] (::Core.GeneratedFunctionStub)(::UInt64, ::LineNumberNode, ::Any, ::Vararg{Any})
@ Core ./boot.jl:709
[22] autodiff
@ ~/.julia/packages/Enzyme/Pljwm/src/Enzyme.jl:309 [inlined]
[23] autodiff
@ ~/.julia/packages/Enzyme/Pljwm/src/Enzyme.jl:326 [inlined]
[24] gradient_loss_function(model::Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}, x::Matrix{Float32}, y::OneHotMatrix{UInt32, Vector{UInt32}}, ps::@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}, st::@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}})
@ Main ~/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:65
[25] top-level scope
@ ~/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:78
[26] include(fname::String)
@ Main ./sysimg.jl:38
[27] top-level scope
@ ~/work/Reactant.jl/Reactant.jl/test/runtests.jl:49
[28] include(fname::String)
@ Main ./sysimg.jl:38
[29] top-level scope
@ none:6
in expression starting at /home/runner/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:78
in expression starting at /home/runner/work/Reactant.jl/Reactant.jl/test/runtests.jl:49
Package Reactant errored during testingIs this on main?
avik-pal
commented
1 month ago Is this on main?
I am getting this on main
vchuravy
commented
1 month ago What is your Manifest? Did you re-resolve. This means you ended up with an old version of GPUCompiler most likely.
wsmoses
commented
1 month ago I think Enzyme has an old GPUCompiler in its compat, which we should likely remove
avik-pal
commented
1 month ago With Enzyme#main, Enzyme_jll#main, GPUCompiler#master I am still getting failure on 1.11
using Enzyme
x = rand(Float32, 32);
Enzyme.gradient(Reverse, sum, x)Installing the latest release of GPUCompiler I get a different error:
avik-pal
commented
1 month ago That said enzyme definitely has some older GPUCompiler in compat which shouldn't be there. Currently installing AMDGPU (which installs GPUCompiler 0.26.5) causes enzyme to not precompile https://buildkite.com/julialang/luxlib-dot-jl/builds/835#0190d6c1-141c-4f6b-ab1d-eec8c2e4f7bc/317-648
frankwswang
commented
1 month ago I'm getting the following error here
ERROR: LoadError: UndefVarError: `PassBuilder` not defined in `Enzyme.Compiler` Stacktrace: [1] macro expansion @ ~/.julia/packages/LLVM/5DlHM/src/base.jl:96 [inlined] [2] (::Enzyme.Compiler.var"#prop_julia_addr#28416"{LLVM.TargetMachine})(f::LLVM.Function) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:75 [3] function_pass_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing}) @ LLVM ~/.julia/packages/LLVM/5DlHM/src/pass.jl:49 [4] LLVMRunPassManager @ ~/.julia/packages/LLVM/5DlHM/lib/16/libLLVM.jl:3351 [inlined] [5] run! @ ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:39 [inlined] [6] (::Enzyme.Compiler.var"#28512#28513"{LLVM.Module, LLVM.TargetMachine})(pm::LLVM.ModulePassManager) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:2029 [7] LLVM.ModulePassManager(::Enzyme.Compiler.var"#28512#28513"{LLVM.Module, LLVM.TargetMachine}; kwargs::@Kwargs{}) @ LLVM ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:33 [8] ModulePassManager @ ~/.julia/packages/LLVM/5DlHM/src/passmanager.jl:30 [inlined] [9] optimize! @ ~/.julia/packages/Enzyme/Pljwm/src/compiler/optimize.jl:1951 [inlined] [10] codegen(output::Symbol, job::GPUCompiler.CompilerJob{Enzyme.Compiler.EnzymeTarget, Enzyme.Compiler.EnzymeCompilerParams}; libraries::Bool, deferred_codegen::Bool, optimize::Bool, toplevel::Bool, strip::Bool, validate::Bool, only_entry::Bool, parent_job::Nothing) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:5787 [11] codegen @ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:5194 [inlined] [12] _thunk(job::GPUCompiler.CompilerJob{Enzyme.Compiler.EnzymeTarget, Enzyme.Compiler.EnzymeCompilerParams}, postopt::Bool) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6682 [13] _thunk @ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6682 [inlined] [14] cached_compilation @ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6720 [inlined] [15] (::Enzyme.Compiler.var"#28633#28634"{Active, FFIABI, Const{typeof(loss_function)}, Enzyme.API.DEM_ReverseModeCombined, (false, false, false, false, false, false), true, false, Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}, 0x00000000000068d4, 1, Core.MethodInstance})(ctx::LLVM.Context) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6795 [16] JuliaContext(f::Enzyme.Compiler.var"#28633#28634"{Active, FFIABI, Const{typeof(loss_function)}, Enzyme.API.DEM_ReverseModeCombined, (false, false, false, false, false, false), true, false, Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}, 0x00000000000068d4, 1, Core.MethodInstance}; kwargs::@Kwargs{}) @ GPUCompiler ~/.julia/packages/GPUCompiler/Y4hSX/src/driver.jl:52 [17] JuliaContext @ ~/.julia/packages/GPUCompiler/Y4hSX/src/driver.jl:42 [inlined] [18] thunkbase(mi::Core.MethodInstance, ::Val{0x00000000000068d4}, ::Type{Const{typeof(loss_function)}}, ::Type{Active}, tt::Type{Tuple{Const{Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}}, Const{Matrix{Float32}}, Const{OneHotMatrix{UInt32, Vector{UInt32}}}, Duplicated{@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}}, Const{@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}}}}, ::Val{Enzyme.API.DEM_ReverseModeCombined}, ::Val{1}, ::Val{(false, false, false, false, false, false)}, ::Val{true}, ::Val{false}, ::Type{FFIABI}) @ Enzyme.Compiler ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6740 [19] #s2021#28635 @ ~/.julia/packages/Enzyme/Pljwm/src/compiler.jl:6826 [inlined] [20] var"#s2021#28635"(FA::Any, A::Any, TT::Any, Mode::Any, ModifiedBetween::Any, width::Any, ReturnPrimal::Any, ShadowInit::Any, World::Any, ABI::Any, ::Any, ::Any, ::Any, ::Any, tt::Any, ::Any, ::Any, ::Any, ::Any, ::Any, ::Any) @ Enzyme.Compiler ./none:0 [21] (::Core.GeneratedFunctionStub)(::UInt64, ::LineNumberNode, ::Any, ::Vararg{Any}) @ Core ./boot.jl:709 [22] autodiff @ ~/.julia/packages/Enzyme/Pljwm/src/Enzyme.jl:309 [inlined] [23] autodiff @ ~/.julia/packages/Enzyme/Pljwm/src/Enzyme.jl:326 [inlined] [24] gradient_loss_function(model::Lux.Chain{@NamedTuple{layer_1::Lux.Dense{true, typeof(tanh_fast), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_2::Lux.Dense{true, typeof(identity), typeof(glorot_uniform), typeof(WeightInitializers.zeros32)}, layer_3::WrappedFunction{:direct_call, typeof(softmax)}}, Nothing}, x::Matrix{Float32}, y::OneHotMatrix{UInt32, Vector{UInt32}}, ps::@NamedTuple{layer_1::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_2::@NamedTuple{weight::Matrix{Float32}, bias::Matrix{Float32}}, layer_3::@NamedTuple{}}, st::@NamedTuple{layer_1::@NamedTuple{}, layer_2::@NamedTuple{}, layer_3::@NamedTuple{}}) @ Main ~/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:65 [25] top-level scope @ ~/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:78 [26] include(fname::String) @ Main ./sysimg.jl:38 [27] top-level scope @ ~/work/Reactant.jl/Reactant.jl/test/runtests.jl:49 [28] include(fname::String) @ Main ./sysimg.jl:38 [29] top-level scope @ none:6 in expression starting at /home/runner/work/Reactant.jl/Reactant.jl/test/nn_lux.jl:78 in expression starting at /home/runner/work/Reactant.jl/Reactant.jl/test/runtests.jl:49 Package Reactant errored during testing
Same here with the latest release candidate of Julia 1.11:
julia> using Enzyme #v0.12.26
julia> function gradByEnzyme(f, inVal)
dp = zero(inVal)
Enzyme.autodiff(Reverse, f, Active, Duplicated(inVal, dp))
dp
end
gradByEnzyme (generic function with 1 method)
julia> gradByEnzyme(x->sum(x .^ 2), [1., 2., 3.])
ERROR: UndefVarError: `PassBuilder` not defined in `Enzyme.Compiler`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] macro expansion
@ C:\Users\frank\.julia\packages\LLVM\5DlHM\src\base.jl:96 [inlined]
[2] (::Enzyme.Compiler.var"#prop_julia_addr#28202"{LLVM.TargetMachine})(f::LLVM.Function)
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler\optimize.jl:75
[3] function_pass_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing})
@ LLVM C:\Users\frank\.julia\packages\LLVM\5DlHM\src\pass.jl:49
[4] LLVMRunPassManager
@ C:\Users\frank\.julia\packages\LLVM\5DlHM\lib\16\libLLVM.jl:3351 [inlined]
[5] run!
@ C:\Users\frank\.julia\packages\LLVM\5DlHM\src\passmanager.jl:39 [inlined]
[6] (::Enzyme.Compiler.var"#28298#28299"{LLVM.Module, LLVM.TargetMachine})(pm::LLVM.ModulePassManager)
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler\optimize.jl:2033
[7] LLVM.ModulePassManager(::Enzyme.Compiler.var"#28298#28299"{LLVM.Module, LLVM.TargetMachine}; kwargs::@Kwargs{})
@ LLVM C:\Users\frank\.julia\packages\LLVM\5DlHM\src\passmanager.jl:33
[8] ModulePassManager
@ C:\Users\frank\.julia\packages\LLVM\5DlHM\src\passmanager.jl:30 [inlined]
[9] optimize!(mod::LLVM.Module, tm::LLVM.TargetMachine)
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler\optimize.jl:1955
[10] codegen(output::Symbol, job::GPUCompiler.CompilerJob{…}; libraries::Bool, deferred_codegen::Bool, optimize::Bool, toplevel::Bool, strip::Bool, validate::Bool, only_entry::Bool, parent_job::Nothing)
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:5968
[11] codegen
@ C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:5371 [inlined]
[12] _thunk(job::GPUCompiler.CompilerJob{Enzyme.Compiler.EnzymeTarget, Enzyme.Compiler.EnzymeCompilerParams}, postopt::Bool)
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:6871
[13] _thunk
@ C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:6871 [inlined]
[14] cached_compilation
@ C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:6909 [inlined]
[15] thunkbase(ctx::LLVM.Context, mi::Core.MethodInstance, ::Val{…}, ::Type{…}, ::Type{…}, tt::Type{…}, ::Val{…}, ::Val{…}, ::Val{…}, ::Val{…}, ::Val{…}, ::Type{…})
@ Enzyme.Compiler C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:6982
[16] #s2043#28415
@ C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\compiler.jl:7034 [inlined]
[17]
@ Enzyme.Compiler .\none:0
[18] (::Core.GeneratedFunctionStub)(::UInt64, ::LineNumberNode, ::Any, ::Vararg{Any})
@ Core .\boot.jl:706
[19] autodiff(::ReverseMode{false, FFIABI, false}, f::Const{var"#1#2"}, ::Type{Active}, args::Duplicated{Vector{Float64}})
@ Enzyme C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\Enzyme.jl:309
[20] autodiff
@ C:\Users\frank\.julia\packages\Enzyme\r8mFE\src\Enzyme.jl:326 [inlined]
[21] gradByEnzyme(f::Function, inVal::Vector{Float64})
@ Main .\REPL[2]:3
[22] top-level scope
@ REPL[3]:1
Some type information was truncated. Use `show(err)` to see complete types.System info:
Julia Version 1.11.0-rc2
Commit 34c3a63147 (2024-07-29 06:24 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 18 × 12th Gen Intel(R) Core(TM) i9-12900HK
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, alderlake)
Threads: 1 default, 0 interactive, 1 GC (on 18 virtual cores)Present issue here is that LLVM.jl dropped support for API's which we need to support 1.11
x/ref https://github.com/maleadt/LLVM.jl/issues/435
cc @frankwswang @avik-pal @mofeing @vchuravy
gdalle
commented
1 week ago I was wondering if there are any updates on 1.11 support, as the release draws nearer?
wsmoses
commented
1 week ago Various codes work now and no precompilation failures, but not all. Specifically support for the new gc_loaded intrinsic needs to be added, but I don't understand the semantics of it yet and need help from @gbaraldi and or @vtjnash to add.
If you understand the meaning of it well enough to explain it and/or support it, be my guest! But since it's a GC related thing and I don't want to accidentally cause segfaults, it remains as an error atm.
gdalle
commented
1 week ago I don't know the first thing about that, just wanted to check if I could re-activate DI tests for Enzyme on v1.11. Guess I'll give it a try!
I wanted to use split reverse mode in order to compute pullbacks with array outputs. The only doc I found is
https://enzymead.github.io/Enzyme.jl/stable/api/#EnzymeCore.autodiff_thunk-Union{Tuple{RABI},%20Tuple{ModifiedBetweenT},%20Tuple{Width},%20Tuple{ReturnShadow},%20Tuple{ReturnPrimal},%20Tuple{A},%20Tuple{FA},%20Tuple{EnzymeCore.ReverseModeSplit{ReturnPrimal,%20ReturnShadow,%20Width,%20ModifiedBetweenT,%20RABI},%20Type{FA},%20Type{A},%20Vararg{Any}}}%20where%20{FA%3C:Annotation,%20A%3C:Annotation,%20ReturnPrimal,%20ReturnShadow,%20Width,%20ModifiedBetweenT,%20RABI%3C:EnzymeCore.ABI}
so I tried it but it fails on Julia 1.11: