forked from TuringLang/AdvancedVI.jl
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathAdvancedVIEnzymeExt.jl
52 lines (46 loc) · 1.28 KB
/
AdvancedVIEnzymeExt.jl
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
module AdvancedVIEnzymeExt
if isdefined(Base, :get_extension)
using Enzyme
using AdvancedVI
using AdvancedVI: ADTypes, DiffResults
else
using ..Enzyme
using ..AdvancedVI
using ..AdvancedVI: ADTypes, DiffResults
end
function AdvancedVI.restructure_ad_forward(::ADTypes.AutoEnzyme, restructure, params)
return restructure(params)::typeof(restructure.model)
end
function AdvancedVI.value_and_gradient!(
::ADTypes.AutoEnzyme, f, x::AbstractVector{<:Real}, out::DiffResults.MutableDiffResult
)
Enzyme.API.runtimeActivity!(true)
∇x = DiffResults.gradient(out)
fill!(∇x, zero(eltype(∇x)))
_, y = Enzyme.autodiff(
Enzyme.ReverseWithPrimal, Enzyme.Const(f), Enzyme.Active, Enzyme.Duplicated(x, ∇x)
)
DiffResults.value!(out, y)
return out
end
function AdvancedVI.value_and_gradient!(
::ADTypes.AutoEnzyme,
f,
x::AbstractVector{<:Real},
aux,
out::DiffResults.MutableDiffResult,
)
Enzyme.API.runtimeActivity!(true)
∇x = DiffResults.gradient(out)
fill!(∇x, zero(eltype(∇x)))
_, y = Enzyme.autodiff(
Enzyme.ReverseWithPrimal,
Enzyme.Const(f),
Enzyme.Active,
Enzyme.Duplicated(x, ∇x),
Enzyme.Const(aux),
)
DiffResults.value!(out, y)
return out
end
end