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Merge pull request #90 from JuliaGPU/jps/forwarddiff
Add ForwardDiff integrations
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,112 @@ | ||
| # broadcasting | ||
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| using Base.Broadcast: BroadcastStyle, Broadcasted | ||
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| struct ROCArrayStyle{N} <: AbstractGPUArrayStyle{N} end | ||
| ROCArrayStyle(::Val{N}) where N = ROCArrayStyle{N}() | ||
| ROCArrayStyle{M}(::Val{N}) where {N,M} = ROCArrayStyle{N}() | ||
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| BroadcastStyle(::Type{ROCArray{T,N}}) where {T,N} = ROCArrayStyle{N}() | ||
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| Base.similar(bc::Broadcasted{ROCArrayStyle{N}}, ::Type{T}) where {N,T} = | ||
| similar(ROCArray{T}, axes(bc)) | ||
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| Base.similar(bc::Broadcasted{ROCArrayStyle{N}}, ::Type{T}, dims) where {N,T} = | ||
| ROCArray{T}(undef, dims) | ||
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| ## replace base functions with libdevice alternatives | ||
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| rocfunc(f) = f | ||
| rocfunc(::Type{T}) where T = (x...) -> T(x...) # broadcasting type ctors isn't GPU compatible | ||
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| Broadcast.broadcasted(::ROCArrayStyle{N}, f, args...) where {N} = | ||
| Broadcasted{ROCArrayStyle{N}}(rocfunc(f), args, nothing) | ||
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| const device_intrinsics = :[ | ||
| cos, cospi, sin, sinpi, tan, acos, asin, atan, | ||
| cosh, sinh, tanh, acosh, asinh, atanh, angle, | ||
| log, log10, log1p, log2, logb, ilogb, | ||
| exp, exp2, exp10, expm1, ldexp, | ||
| erf, erfinv, erfc, erfcinv, erfcx, | ||
| brev, clz, ffs, byte_perm, popc, | ||
| isfinite, isinf, isnan, nearbyint, | ||
| nextafter, signbit, copysign, abs, | ||
| sqrt, rsqrt, cbrt, rcbrt, pow, | ||
| ceil, floor, saturate, | ||
| lgamma, tgamma, | ||
| j0, j1, jn, y0, y1, yn, | ||
| normcdf, normcdfinv, hypot, | ||
| fma, sad, dim, mul24, mul64hi, hadd, rhadd, scalbn].args | ||
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| for f in device_intrinsics | ||
| isdefined(Base, f) || continue | ||
| @eval rocfunc(::typeof(Base.$f)) = $f | ||
| end | ||
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| # broadcast ^ | ||
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| rocliteral_pow(::typeof(^), x::T, ::Val{0}) where {T<:Real} = one(x) | ||
| rocliteral_pow(::typeof(^), x::T, ::Val{1}) where {T<:Real} = x | ||
| rocliteral_pow(::typeof(^), x::T, ::Val{2}) where {T<:Real} = x * x | ||
| rocliteral_pow(::typeof(^), x::T, ::Val{3}) where {T<:Real} = x * x * x | ||
| rocliteral_pow(::typeof(^), x::T, ::Val{p}) where {T<:Real,p} = pow(x, Int32(p)) | ||
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| rocfunc(::typeof(Base.literal_pow)) = rocliteral_pow | ||
| rocfunc(::typeof(Base.:(^))) = pow | ||
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| using MacroTools | ||
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| const _rocfuncs = [copy(device_intrinsics); :^] | ||
| rocfuncs() = (global _rocfuncs; _rocfuncs) | ||
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| _rocint(x::Int) = Int32(x) | ||
| _rocint(x::Expr) = x.head == :call && x.args[1] == :Int32 && x.args[2] isa Int ? Int32(x.args[2]) : x | ||
| _rocint(x) = x | ||
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| function _rocpowliteral(x::Expr) | ||
| if x.head == :call && x.args[1] == :(AMDGPU.rocfunc(^)) && x.args[3] isa Int32 | ||
| num = x.args[3] | ||
| if 0 <= num <= 3 | ||
| sym = gensym(:x) | ||
| new_x = Expr(:block, :($sym = $(x.args[2]))) | ||
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| if iszero(num) | ||
| push!(new_x.args, :(one($sym))) | ||
| else | ||
| unroll = Expr(:call, :*) | ||
| for x = one(num):num | ||
| push!(unroll.args, sym) | ||
| end | ||
| push!(new_x.args, unroll) | ||
| end | ||
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| x = new_x | ||
| end | ||
| end | ||
| x | ||
| end | ||
| _rocpowliteral(x) = x | ||
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| function replace_device(ex) | ||
| global _rocfuncs | ||
| MacroTools.postwalk(ex) do x | ||
| x = x in _rocfuncs ? :(AMDGPU.rocfunc($x)) : x | ||
| x = _rocint(x) | ||
| x = _rocpowliteral(x) | ||
| x | ||
| end | ||
| end | ||
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| macro rocfunc(ex) | ||
| global _rocfuncs | ||
| def = MacroTools.splitdef(ex) | ||
| f = def[:name] | ||
| def[:name] = Symbol(:cu, f) | ||
| def[:body] = replace_device(def[:body]) | ||
| push!(_rocfuncs, f) | ||
| quote | ||
| $(esc(MacroTools.combinedef(def))) | ||
| AMDGPU.rocfunc(::typeof($(esc(f)))) = $(esc(def[:name])) | ||
| end | ||
| end |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| # ForwardDiff integration | ||
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| byhand = [:exp2, :log2, :exp10, :log10, :abs] | ||
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| for f in device_intrinsics | ||
| if haskey(ForwardDiff.DiffRules.DEFINED_DIFFRULES, (:Base,f,1)) | ||
| f ∈ byhand && continue | ||
| diffrule = ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:Base,f,1)] | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU,f,1)] = | ||
| (args...) -> replace_device(diffrule(args...)) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, f)) | ||
| end | ||
| end | ||
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| # byhand: exp2 | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :exp2, 1)] = x -> | ||
| :((AMDGPU.rocfunc(exp2))(x) * (AMDGPU.rocfunc(log))(oftype(x, 2))) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, :exp2)) | ||
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| # byhand: log2 | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :log2, 1)] = x -> | ||
| :(inv(x) / (AMDGPU.rocfunc(log))(oftype(x, 2))) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, :log2)) | ||
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| # byhand: exp10 | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :exp10, 1)] = x -> | ||
| :((AMDGPU.rocfunc(exp10))(x) * (AMDGPU.rocfunc(log))(oftype(x, 10))) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, :exp10)) | ||
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| # byhand: log10 | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :log10, 1)] = x -> | ||
| :(inv(x) / (AMDGPU.rocfunc(log))(oftype(x, 10))) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, :log10)) | ||
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| # byhand: abs | ||
| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :abs, 1)] = x -> | ||
| :(signbit(x) ? -one(x) : one(x)) | ||
| eval(ForwardDiff.unary_dual_definition(:AMDGPU, :abs)) | ||
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| ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:AMDGPU, :pow, 2)] = (x, y) -> | ||
| replace_device.(ForwardDiff.DiffRules.DEFINED_DIFFRULES[(:Base, :^, 2)](x, y)) | ||
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| @eval begin | ||
| ForwardDiff.@define_binary_dual_op( | ||
| AMDGPU.pow, | ||
| begin | ||
| vx = ForwardDiff.value(x) | ||
| vy = ForwardDiff.value(y) | ||
| expv = (AMDGPU.pow)(vx, vy) | ||
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| powval = vy * AMDGPU.pow(vx , vy - Int32(1)) | ||
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| py = ForwardDiff.partials(y) | ||
| px = ForwardDiff.partials(x) | ||
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| cond = all(py.values) do x | ||
| x == zero(x) | ||
| end | ||
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| if cond | ||
| logval = one(expv) | ||
| else | ||
| logval = expv * AMDGPU.log(vx) | ||
| end | ||
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| new_partials = powval * px + logval * py | ||
| return ForwardDiff.Dual{Txy}(expv, new_partials) | ||
| end, | ||
| begin | ||
| v = ForwardDiff.value(x) | ||
| expv = (AMDGPU.pow)(v, y) | ||
| if y == zero(y) | ||
| new_partials = zero(ForwardDiff.partials(x)) | ||
| else | ||
| new_partials = ForwardDiff.partials(x) * y * (AMDGPU.pow)(v, y - Int32(1)) | ||
| end | ||
| return ForwardDiff.Dual{Tx}(expv, new_partials) | ||
| end, | ||
| begin | ||
| v = ForwardDiff.value(y) | ||
| expv = (AMDGPU.pow)(x, v) | ||
| deriv = expv*AMDGPU.log(x) | ||
| return ForwardDiff.Dual{Ty}(expv, deriv * ForwardDiff.partials(y)) | ||
| end | ||
| ) | ||
| end |
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