Enzyme support older versions

.github/workflows/ci.yml

@@ -48,7 +48,7 @@ jobs:
           show-versioninfo: true
       - uses: julia-actions/cache@v2
       - run: | 
-          julia -e '@static if VERSION >= v"1.10"
+          julia -e '
             using Pkg
             withenv("JULIA_PKG_PRECOMPILE_AUTO" => 0) do
               Pkg.activate("test")
@@ -61,11 +61,8 @@ jobs:
               try
                 Pkg.develop([PackageSpec("Enzyme"), PackageSpec("EnzymeCore")])
               catch err
-                @error "Could not install Enzyme" exception=(err,catch_backtrace())
-                exit(3)
               end
             end
-          end
           '
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1

Project.toml

@@ -21,7 +21,7 @@ UnsafeAtomicsLLVM = "d80eeb9a-aca5-4d75-85e5-170c8b632249"
 [compat]
 Adapt = "0.4, 1.0, 2.0, 3.0, 4"
 Atomix = "0.1"
-EnzymeCore = "0.8.1"
+EnzymeCore = "0.7, 0.8.1"
 InteractiveUtils = "1.6"
 LinearAlgebra = "1.6"
 MacroTools = "0.5"

ext/Enzyme012Ext.jl

@@ -0,0 +1,342 @@
+# https://github.com/EnzymeAD/Enzyme.jl/issues/1516
+# On the CPU `autodiff_deferred` can deadlock.
+# Hence a specialized CPU version
+function cpu_fwd(ctx, f, args...)
+    EnzymeCore.autodiff(Forward, Const(f), Const{Nothing}, Const(ctx), args...)
+    return nothing
+end
+
+function gpu_fwd(ctx, f, args...)
+    EnzymeCore.autodiff_deferred(Forward, Const(f), Const{Nothing}, Const(ctx), args...)
+    return nothing
+end
+
+function EnzymeRules.forward(
+        func::Const{<:Kernel{CPU}},
+        ::Type{Const{Nothing}},
+        args...;
+        ndrange = nothing,
+        workgroupsize = nothing,
+    )
+    kernel = func.val
+    f = kernel.f
+    fwd_kernel = similar(kernel, cpu_fwd)
+
+    fwd_kernel(f, args...; ndrange, workgroupsize)
+end
+
+function EnzymeRules.forward(
+        func::Const{<:Kernel{<:GPU}},
+        ::Type{Const{Nothing}},
+        args...;
+        ndrange = nothing,
+        workgroupsize = nothing,
+    )
+    kernel = func.val
+    f = kernel.f
+    fwd_kernel = similar(kernel, gpu_fwd)
+
+    fwd_kernel(f, args...; ndrange, workgroupsize)
+end
+
+_enzyme_mkcontext(kernel::Kernel{CPU}, ndrange, iterspace, dynamic) =
+    mkcontext(kernel, first(blocks(iterspace)), ndrange, iterspace, dynamic)
+_enzyme_mkcontext(kernel::Kernel{<:GPU}, ndrange, iterspace, dynamic) =
+    mkcontext(kernel, ndrange, iterspace)
+
+_augmented_return(::Kernel{CPU}, subtape, arg_refs, tape_type) =
+    AugmentedReturn{Nothing, Nothing, Tuple{Array, typeof(arg_refs), typeof(tape_type)}}(
+    nothing,
+    nothing,
+    (subtape, arg_refs, tape_type),
+)
+_augmented_return(::Kernel{<:GPU}, subtape, arg_refs, tape_type) =
+    AugmentedReturn{Nothing, Nothing, Any}(nothing, nothing, (subtape, arg_refs, tape_type))
+
+function _create_tape_kernel(
+        kernel::Kernel{CPU},
+        ModifiedBetween,
+        FT,
+        ctxTy,
+        ndrange,
+        iterspace,
+        args2...,
+    )
+    TapeType = EnzymeCore.tape_type(
+        ReverseSplitModified(ReverseSplitWithPrimal, ModifiedBetween),
+        FT,
+        Const{Nothing},
+        Const{ctxTy},
+        map(Core.Typeof, args2)...,
+    )
+    subtape = Array{TapeType}(undef, size(blocks(iterspace)))
+    aug_kernel = similar(kernel, cpu_aug_fwd)
+    return TapeType, subtape, aug_kernel
+end
+
+function _create_tape_kernel(
+        kernel::Kernel{<:GPU},
+        ModifiedBetween,
+        FT,
+        ctxTy,
+        ndrange,
+        iterspace,
+        args2...,
+    )
+    # For peeking at the TapeType we need to first construct a correct compilation job
+    # this requires the use of the device side representation of arguments.
+    # So we convert the arguments here, this is a bit wasteful since the `aug_kernel` call
+    # will later do the same.
+    dev_args2 = ((argconvert(kernel, a) for a in args2)...,)
+    dev_TT = map(Core.Typeof, dev_args2)
+
+    job =
+        EnzymeCore.compiler_job_from_backend(backend(kernel), typeof(() -> return), Tuple{})
+    TapeType = EnzymeCore.tape_type(
+        job,
+        ReverseSplitModified(ReverseSplitWithPrimal, ModifiedBetween),
+        FT,
+        Const{Nothing},
+        Const{ctxTy},
+        dev_TT...,
+    )
+
+    # Allocate per thread
+    subtape = allocate(backend(kernel), TapeType, prod(ndrange))
+
+    aug_kernel = similar(kernel, gpu_aug_fwd)
+    return TapeType, subtape, aug_kernel
+end
+
+_create_rev_kernel(kernel::Kernel{CPU}) = similar(kernel, cpu_rev)
+_create_rev_kernel(kernel::Kernel{<:GPU}) = similar(kernel, gpu_rev)
+
+function cpu_aug_fwd(
+        ctx,
+        f::FT,
+        ::Val{ModifiedBetween},
+        subtape,
+        ::Val{TapeType},
+        args...,
+    ) where {ModifiedBetween, FT, TapeType}
+    # A2 = Const{Nothing} -- since f->Nothing
+    forward, _ = EnzymeCore.autodiff_thunk(
+        ReverseSplitModified(ReverseSplitWithPrimal, Val(ModifiedBetween)),
+        Const{Core.Typeof(f)},
+        Const{Nothing},
+        Const{Core.Typeof(ctx)},
+        map(Core.Typeof, args)...,
+    )
+
+    # On the CPU: F is a per block function
+    # On the CPU: subtape::Vector{Vector}
+    I = __index_Group_Cartesian(ctx, CartesianIndex(1, 1)) #=fake=#
+    subtape[I] = forward(Const(f), Const(ctx), args...)[1]
+    return nothing
+end
+
+function cpu_rev(
+        ctx,
+        f::FT,
+        ::Val{ModifiedBetween},
+        subtape,
+        ::Val{TapeType},
+        args...,
+    ) where {ModifiedBetween, FT, TapeType}
+    _, reverse = EnzymeCore.autodiff_thunk(
+        ReverseSplitModified(ReverseSplitWithPrimal, Val(ModifiedBetween)),
+        Const{Core.Typeof(f)},
+        Const{Nothing},
+        Const{Core.Typeof(ctx)},
+        map(Core.Typeof, args)...,
+    )
+    I = __index_Group_Cartesian(ctx, CartesianIndex(1, 1)) #=fake=#
+    tp = subtape[I]
+    reverse(Const(f), Const(ctx), args..., tp)
+    return nothing
+end
+
+# GPU support
+function gpu_aug_fwd(
+        ctx,
+        f::FT,
+        ::Val{ModifiedBetween},
+        subtape,
+        ::Val{TapeType},
+        args...,
+    ) where {ModifiedBetween, FT, TapeType}
+    # A2 = Const{Nothing} -- since f->Nothing
+    forward, _ = EnzymeCore.autodiff_deferred_thunk(
+        ReverseSplitModified(ReverseSplitWithPrimal, Val(ModifiedBetween)),
+        TapeType,
+        Const{Core.Typeof(f)},
+        Const{Nothing},
+        Const{Core.Typeof(ctx)},
+        map(Core.Typeof, args)...,
+    )
+
+    # On the GPU: F is a per thread function
+    # On the GPU: subtape::Vector
+    if __validindex(ctx)
+        I = __index_Global_Linear(ctx)
+        subtape[I] = forward(Const(f), Const(ctx), args...)[1]
+    end
+    return nothing
+end
+
+function gpu_rev(
+        ctx,
+        f::FT,
+        ::Val{ModifiedBetween},
+        subtape,
+        ::Val{TapeType},
+        args...,
+    ) where {ModifiedBetween, FT, TapeType}
+    # XXX: TapeType and A2 as args to autodiff_deferred_thunk
+    _, reverse = EnzymeCore.autodiff_deferred_thunk(
+        ReverseSplitModified(ReverseSplitWithPrimal, Val(ModifiedBetween)),
+        TapeType,
+        Const{Core.Typeof(f)},
+        Const{Nothing},
+        Const{Core.Typeof(ctx)},
+        map(Core.Typeof, args)...,
+    )
+    if __validindex(ctx)
+        I = __index_Global_Linear(ctx)
+        tp = subtape[I]
+        reverse(Const(f), Const(ctx), args..., tp)
+    end
+    return nothing
+end
+
+function EnzymeRules.augmented_primal(
+        config::Config,
+        func::Const{<:Kernel},
+        ::Type{Const{Nothing}},
+        args::Vararg{Any, N};
+        ndrange = nothing,
+        workgroupsize = nothing,
+    ) where {N}
+    kernel = func.val
+    f = kernel.f
+
+    ndrange, workgroupsize, iterspace, dynamic =
+        launch_config(kernel, ndrange, workgroupsize)
+    ctx = _enzyme_mkcontext(kernel, ndrange, iterspace, dynamic)
+    ctxTy = Core.Typeof(ctx) # CompilerMetadata{ndrange(kernel), Core.Typeof(dynamic)}
+    # TODO autodiff_deferred on the func.val
+    ModifiedBetween = Val((overwritten(config)[1], false, overwritten(config)[2:end]...))
+
+    FT = Const{Core.Typeof(f)}
+
+    arg_refs = ntuple(Val(N)) do i
+        Base.@_inline_meta
+        if args[i] isa Active
+            if func.val isa Kernel{<:GPU}
+                error("Active kernel arguments not supported on GPU")
+            else
+                Ref(EnzymeCore.make_zero(args[i].val))
+            end
+        else
+            nothing
+        end
+    end
+    args2 = ntuple(Val(N)) do i
+        Base.@_inline_meta
+        if args[i] isa Active
+            MixedDuplicated(args[i].val, arg_refs[i])
+        else
+            args[i]
+        end
+    end
+
+    TapeType, subtape, aug_kernel = _create_tape_kernel(
+        kernel,
+        ModifiedBetween,
+        FT,
+        ctxTy,
+        ndrange,
+        iterspace,
+        args2...,
+    )
+    aug_kernel(f, ModifiedBetween, subtape, Val(TapeType), args2...; ndrange, workgroupsize)
+
+    # TODO the fact that ctxTy is type unstable means this is all type unstable.
+    # Since custom rules require a fixed return type, explicitly cast to Any, rather
+    # than returning a AugmentedReturn{Nothing, Nothing, T} where T.
+    return _augmented_return(kernel, subtape, arg_refs, TapeType)
+end
+
+function EnzymeRules.reverse(
+        config::Config,
+        func::Const{<:Kernel},
+        ::Type{<:EnzymeCore.Annotation},
+        tape,
+        args::Vararg{Any, N};
+        ndrange = nothing,
+        workgroupsize = nothing,
+    ) where {N}
+    subtape, arg_refs, tape_type = tape
+
+    args2 = ntuple(Val(N)) do i
+        Base.@_inline_meta
+        if args[i] isa Active
+            MixedDuplicated(args[i].val, arg_refs[i])
+        else
+            args[i]
+        end
+    end
+
+    kernel = func.val
+    f = kernel.f
+
+    ModifiedBetween = Val((overwritten(config)[1], false, overwritten(config)[2:end]...))
+
+    rev_kernel = _create_rev_kernel(kernel)
+    rev_kernel(
+        f,
+        ModifiedBetween,
+        subtape,
+        Val(tape_type),
+        args2...;
+        ndrange,
+        workgroupsize,
+    )
+    res = ntuple(Val(N)) do i
+        Base.@_inline_meta
+        if args[i] isa Active
+            arg_refs[i][]
+        else
+            nothing
+        end
+    end
+    # Reverse synchronization right after the kernel launch
+    synchronize(backend(kernel))
+    return res
+end
+
+# Synchronize rules
+# TODO: Right now we do the synchronization as part of the kernel launch in the augmented primal
+#       and reverse rules. This is not ideal, as we would want to launch the kernel in the reverse
+#       synchronize rule and then synchronize where the launch was. However, with the current
+#       kernel semantics this ensures correctness for now.
+function EnzymeRules.augmented_primal(
+        config::Config,
+        func::Const{typeof(synchronize)},
+        ::Type{Const{Nothing}},
+        backend::T,
+    ) where {T <: EnzymeCore.Annotation}
+    synchronize(backend.val)
+    return AugmentedReturn(nothing, nothing, nothing)
+end
+
+function EnzymeRules.reverse(
+        config::Config,
+        func::Const{typeof(synchronize)},
+        ::Type{Const{Nothing}},
+        tape,
+        backend,
+    )
+    # noop for now
+    return (nothing,)
+end