Skip to content

Adding Mooncake to the AD list. #936

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 7 commits into from
Aug 5, 2025
Merged

Adding Mooncake to the AD list. #936

Show file tree
Hide file tree
Changes from 2 commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
c6bba56
Update ad.md
yebai Jun 30, 2025
5c97af2
adding Mooncake to tests
yebai Jul 9, 2025
4c95ec9
Update ADtests.jl
yebai Jul 14, 2025
311c3ff
Update Project.toml
yebai Jul 14, 2025
66418b3
skip `Newton` for Mooncake
yebai Jul 14, 2025
71b6c9d
Update ADtests.jl
yebai Jul 25, 2025
cd0da39
Merge branch 'master' into patch-1
ChrisRackauckas Aug 5, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions docs/src/API/ad.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@ The choices for the auto-AD fill-ins with quick descriptions are:
- `AutoFiniteDiff()`: Finite differencing, not optimal but always applicable
- `AutoModelingToolkit()`: The fastest choice for large scalar optimizations
- `AutoEnzyme()`: Highly performant AD choice for type stable and optimized code
- `AutoMooncake()`: Like Zygote and ReverseDiff, but supports GPU and mutating code

## Automatic Differentiation Choice API

Expand All @@ -22,4 +23,5 @@ OptimizationBase.AutoZygote
OptimizationBase.AutoTracker
OptimizationBase.AutoModelingToolkit
OptimizationBase.AutoEnzyme
OptimizationBase.AutoMooncake
```
6 changes: 3 additions & 3 deletions test/ADtests.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ end
@testset "No constraint" begin
for adtype in [AutoEnzyme(), AutoForwardDiff(), AutoZygote(), AutoReverseDiff(),
AutoFiniteDiff(), AutoModelingToolkit(), AutoSparseForwardDiff(),
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true)]
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true), AutoMooncake()]
optf = OptimizationFunction(rosenbrock, adtype)

prob = OptimizationProblem(optf, x0)
Expand Down Expand Up @@ -67,7 +67,7 @@ end
@testset "One constraint" begin
for adtype in [AutoEnzyme(), AutoForwardDiff(), AutoZygote(), AutoReverseDiff(),
AutoFiniteDiff(), AutoModelingToolkit(), AutoSparseForwardDiff(),
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true)]
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true), AutoMooncake()]
cons = (res, x, p) -> (res[1] = x[1]^2 + x[2]^2 - 1.0; return nothing)
optf = OptimizationFunction(rosenbrock, adtype, cons = cons)

Expand All @@ -85,7 +85,7 @@ end
@testset "Two constraints" begin
for adtype in [AutoForwardDiff(), AutoZygote(), AutoReverseDiff(),
AutoFiniteDiff(), AutoModelingToolkit(), AutoSparseForwardDiff(),
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true)]
AutoSparseReverseDiff(), AutoSparse(AutoZygote()), AutoModelingToolkit(true, true), AutoMooncake()]
function con2_c(res, x, p)
res[1] = x[1]^2 + x[2]^2
res[2] = x[2] * sin(x[1]) - x[1]
Expand Down
Loading