-
Notifications
You must be signed in to change notification settings - Fork 51
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
--------- Co-authored-by: William Moses <[email protected]>
- Loading branch information
Showing
8 changed files
with
402 additions
and
14 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,218 @@ | ||
| module AMDGPUEnzymeCoreExt | ||
|
|
||
| using AMDGPU | ||
| using EnzymeCore | ||
| using EnzymeCore: EnzymeRules | ||
| using GPUCompiler | ||
|
|
||
| include("meta_kernels.jl") | ||
|
|
||
| function EnzymeCore.compiler_job_from_backend( | ||
| ::ROCBackend, @nospecialize(F::Type), @nospecialize(TT::Type), | ||
| ) | ||
| mi = GPUCompiler.methodinstance(F, TT) | ||
| return GPUCompiler.CompilerJob(mi, AMDGPU.compiler_config(AMDGPU.device())) | ||
| end | ||
|
|
||
| function EnzymeRules.forward( | ||
| config, fn::Const{typeof(AMDGPU.hipfunction)}, ::Type{<: Duplicated}, | ||
| f::Const{F}, tt::Const{TT}; kwargs..., | ||
| ) where {F, TT} | ||
| res = fn.val(f.val, tt.val; kwargs...) | ||
| return Duplicated(res, res) | ||
| end | ||
|
|
||
| function EnzymeRules.forward( | ||
| config, fn::Const{typeof(AMDGPU.hipfunction)}, ::Type{<: BatchDuplicated{T, N}}, | ||
| f::Const{F}, tt::Const{TT}; kwargs..., | ||
| ) where {F, TT, T, N} | ||
| res = fn.val(f.val, tt.val; kwargs...) | ||
| return BatchDuplicated(res, ntuple(_ -> res, Val(N))) | ||
| end | ||
|
|
||
| function EnzymeRules.reverse( | ||
| config, fn::Const{typeof(AMDGPU.hipfunction)}, ::Type{RT}, | ||
| subtape, f, tt; kwargs..., | ||
| ) where RT | ||
| return (nothing, nothing) | ||
| end | ||
|
|
||
| function EnzymeRules.forward( | ||
| config, fn::Const{typeof(AMDGPU.rocconvert)}, ::Type{RT}, x::IT, | ||
| ) where {RT, IT} | ||
| if EnzymeRules.needs_primal(config) && EnzymeRules.needs_shadow(config) | ||
| config_width = EnzymeRules.width(config) | ||
| if config_width == 1 | ||
| Duplicated(fn.val(x.val), fn.val(x.dval)) | ||
| else | ||
| tup = ntuple(Val(config_width)) do i | ||
| Base.@_inline_meta | ||
| fn.val(x.dval[i])::eltype(RT) | ||
| end | ||
| BatchDuplicated(fn.val(x.val), tup) | ||
| end | ||
|
|
||
| elseif EnzymeRules.needs_shadow(config) | ||
| config_width = EnzymeRules.width(config) | ||
| ST = EnzymeCore.shadow_type(config, RT) | ||
| if config_width == 1 | ||
| fn.val(x.dval)::ST | ||
| else | ||
| (ntuple(Val(config_width)) do i | ||
| Base.@_inline_meta | ||
| fn.val(x.dval[i])::eltype(RT) | ||
| end)::ST | ||
| end | ||
|
|
||
| elseif EnzymeRules.needs_primal(config) | ||
| fn.val(x.val)::eltype(RT) | ||
| else | ||
| nothing | ||
| end | ||
| end | ||
|
|
||
| function EnzymeRules.augmented_primal( | ||
| config, fn::Const{typeof(AMDGPU.rocconvert)}, ::Type{RT}, x::IT, | ||
| ) where {RT, IT} | ||
| primal = EnzymeRules.needs_primal(config) ? | ||
| fn.val(x.val) : nothing | ||
|
|
||
| shadow = if EnzymeRules.needs_shadow(config) | ||
| config_width = EnzymeRules.width(config) | ||
| if config_width == 1 | ||
| fn.val(x.dval) | ||
| else | ||
| ntuple(Val(config_width)) do i | ||
| Base.@_inline_meta | ||
| fn.val(x.dval[i]) | ||
| end | ||
| end | ||
| else | ||
| nothing | ||
| end | ||
|
|
||
| return EnzymeRules.AugmentedReturn{ | ||
| EnzymeRules.primal_type(config, RT), | ||
| EnzymeRules.shadow_type(config, RT), Nothing | ||
| }(primal, shadow, nothing) | ||
| end | ||
|
|
||
| function EnzymeRules.reverse( | ||
| config, fn::Const{typeof(AMDGPU.rocconvert)}, ::Type{RT}, tape, x::IT, | ||
| ) where {RT, IT} | ||
| return (nothing,) | ||
| end | ||
|
|
||
| function EnzymeRules.forward( | ||
| config, fn::EnzymeCore.Annotation{AMDGPU.Runtime.HIPKernel{F, TT}}, | ||
| ::Type{Const{Nothing}}, args...; kwargs..., | ||
| ) where {F, TT} | ||
| GC.@preserve args begin | ||
| kernel_args = ((rocconvert(a) for a in args)...,) | ||
| kernel_tt = Tuple{(typeof(config), F, (typeof(a) for a in kernel_args)...)...} | ||
| kernel = AMDGPU.hipfunction(meta_fn, kernel_tt) | ||
| kernel(config, fn.val.f, kernel_args...; kwargs...) | ||
| end | ||
| return | ||
| end | ||
|
|
||
| function EnzymeRules.reverse( | ||
| config, ofn::EnzymeCore.Annotation{AMDGPU.Runtime.HIPKernel{F, TT}}, | ||
| ::Type{Const{Nothing}}, subtape, args...; | ||
| groupsize::AMDGPU.Runtime.ROCDim = 1, | ||
| gridsize::AMDGPU.Runtime.ROCDim = 1, | ||
| kwargs..., | ||
| ) where {F, TT} | ||
| kernel_args = ((rocconvert(a) for a in args)...,) | ||
| kernel_tt = map(typeof, kernel_args) | ||
|
|
||
| ModifiedBetween = EnzymeRules.overwritten(config) | ||
| TapeType = EnzymeCore.tape_type( | ||
| ReverseSplitModified( | ||
| EnzymeCore.set_runtime_activity(ReverseSplitWithPrimal, config), | ||
| Val(ModifiedBetween)), | ||
| Const{F}, | ||
| Const{Nothing}, | ||
| kernel_tt..., | ||
| ) | ||
| groupsize = AMDGPU.Runtime.ROCDim3(groupsize) | ||
| gridsize = AMDGPU.Runtime.ROCDim3(gridsize) | ||
|
|
||
| GC.@preserve args subtape begin | ||
| subtape_cc = rocconvert(subtape) | ||
| kernel_tt2 = Tuple{ | ||
| (typeof(config), F, typeof(subtape_cc), kernel_tt...)...} | ||
| kernel = AMDGPU.hipfunction(meta_revf, kernel_tt2) | ||
| kernel(config, ofn.val.f, subtape_cc, kernel_args...; | ||
| groupsize, gridsize, kwargs...) | ||
| end | ||
|
|
||
| return ntuple(Val(length(kernel_args))) do i | ||
| Base.@_inline_meta | ||
| nothing | ||
| end | ||
| end | ||
|
|
||
| function EnzymeRules.augmented_primal( | ||
| config, fn::Const{typeof(AMDGPU.hipfunction)}, | ||
| ::Type{RT}, f::Const{F}, tt::Const{TT}; kwargs... | ||
| ) where {F, CT, RT <: EnzymeCore.Annotation{CT}, TT} | ||
| res = fn.val(f.val, tt.val; kwargs...) | ||
| primal = EnzymeRules.needs_primal(config) ? res : nothing | ||
|
|
||
| shadow = if EnzymeRules.needs_shadow(config) | ||
| config_width = EnzymeRules.width(config) | ||
| config_width == 1 ? | ||
| res : | ||
| ntuple(Val(config_width)) do i | ||
| Base.@_inline_meta | ||
| res | ||
| end | ||
| else | ||
| nothing | ||
| end | ||
|
|
||
| return EnzymeRules.AugmentedReturn{ | ||
| EnzymeRules.primal_type(config, RT), | ||
| EnzymeRules.shadow_type(config, RT), Nothing, | ||
| }(primal, shadow, nothing) | ||
| end | ||
|
|
||
| function EnzymeRules.augmented_primal( | ||
| config, fn::EnzymeCore.Annotation{AMDGPU.Runtime.HIPKernel{F,TT}}, | ||
| ::Type{Const{Nothing}}, args...; | ||
| groupsize::AMDGPU.Runtime.ROCDim = 1, | ||
| gridsize::AMDGPU.Runtime.ROCDim = 1, kwargs..., | ||
| ) where {F,TT} | ||
| kernel_args = ((rocconvert(a) for a in args)...,) | ||
| kernel_tt = map(typeof, kernel_args) | ||
|
|
||
| ModifiedBetween = EnzymeRules.overwritten(config) | ||
| compiler_job = EnzymeCore.compiler_job_from_backend( | ||
| ROCBackend(), typeof(Base.identity), Tuple{Float64}) | ||
| TapeType = EnzymeCore.tape_type( | ||
| compiler_job, | ||
| ReverseSplitModified( | ||
| EnzymeCore.set_runtime_activity(ReverseSplitWithPrimal, config), | ||
| Val(ModifiedBetween)), | ||
| Const{F}, Const{Nothing}, | ||
| kernel_tt..., | ||
| ) | ||
| groupsize = AMDGPU.Runtime.ROCDim3(groupsize) | ||
| gridsize = AMDGPU.Runtime.ROCDim3(gridsize) | ||
| subtape = ROCArray{TapeType}(undef, | ||
| gridsize.x * gridsize.y * gridsize.z * | ||
| groupsize.x * groupsize.y * groupsize.z) | ||
|
|
||
| GC.@preserve args subtape begin | ||
| subtape_cc = rocconvert(subtape) | ||
| kernel_tt2 = Tuple{ | ||
| (typeof(config), F, typeof(subtape_cc), kernel_tt...)...} | ||
| kernel = AMDGPU.hipfunction(meta_augf, kernel_tt2) | ||
| kernel(config, fn.val.f, subtape_cc, kernel_args...; | ||
| groupsize, gridsize, kwargs...) | ||
| end | ||
| return EnzymeRules.AugmentedReturn{Nothing, Nothing, ROCArray}(nothing, nothing, subtape) | ||
| end | ||
|
|
||
| end |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,83 @@ | ||
| function meta_fn(config, fn, args::Vararg{Any, N}) where N | ||
| EnzymeCore.autodiff_deferred( | ||
| EnzymeCore.set_runtime_activity(Forward, config), | ||
| Const(fn), Const, args...) | ||
| return | ||
| end | ||
|
|
||
|
|
||
| function meta_augf( | ||
| config, f, tape::ROCDeviceArray{TapeType}, args::Vararg{Any, N}, | ||
| ) where {N, TapeType} | ||
| ModifiedBetween = EnzymeRules.overwritten(config) | ||
| forward, _ = EnzymeCore.autodiff_deferred_thunk( | ||
| ReverseSplitModified( | ||
| EnzymeCore.set_runtime_activity(ReverseSplitWithPrimal, config), | ||
| Val(ModifiedBetween)), | ||
| TapeType, | ||
| Const{Core.Typeof(f)}, | ||
| Const{Nothing}, | ||
| map(typeof, args)..., | ||
| ) | ||
|
|
||
| idx = 0 | ||
| # idx *= gridDim().x | ||
| idx += workgroupIdx().x - 1 | ||
|
|
||
| idx *= gridGroupDim().y | ||
| idx += workgroupIdx().y - 1 | ||
|
|
||
| idx *= gridGroupDim().z | ||
| idx += workgroupIdx().z - 1 | ||
|
|
||
| idx *= workgroupDim().x | ||
| idx += workitemIdx().x - 1 | ||
|
|
||
| idx *= workgroupDim().y | ||
| idx += workitemIdx().y - 1 | ||
|
|
||
| idx *= workgroupDim().z | ||
| idx += workitemIdx().z - 1 | ||
| idx += 1 | ||
|
|
||
| @inbounds tape[idx] = forward(Const(f), args...)[1] | ||
| return | ||
| end | ||
|
|
||
| function meta_revf( | ||
| config, f, tape::ROCDeviceArray{TapeType}, args::Vararg{Any, N}, | ||
| ) where {N, TapeType} | ||
| ModifiedBetween = EnzymeRules.overwritten(config) | ||
| _, reverse = EnzymeCore.autodiff_deferred_thunk( | ||
| ReverseSplitModified( | ||
| EnzymeCore.set_runtime_activity(ReverseSplitWithPrimal, config), | ||
| Val(ModifiedBetween)), | ||
| TapeType, | ||
| Const{Core.Typeof(f)}, | ||
| Const{Nothing}, | ||
| map(typeof, args)..., | ||
| ) | ||
|
|
||
| idx = 0 | ||
| # idx *= gridDim().x | ||
| idx += workgroupIdx().x - 1 | ||
|
|
||
| idx *= gridGroupDim().y | ||
| idx += workgroupIdx().y - 1 | ||
|
|
||
| idx *= gridGroupDim().z | ||
| idx += workgroupIdx().z - 1 | ||
|
|
||
| idx *= workgroupDim().x | ||
| idx += workitemIdx().x - 1 | ||
|
|
||
| idx *= workgroupDim().y | ||
| idx += workitemIdx().y - 1 | ||
|
|
||
| idx *= workgroupDim().z | ||
| idx += workitemIdx().z - 1 | ||
| idx += 1 | ||
|
|
||
| reverse(Const(f), args..., @inbounds tape[idx]) | ||
| return | ||
| end |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.