Tags from ForwardDiff.jl

v1.0.1

2025-04-02T20:48:41Z

[Diff since v1.0.0](v1.0.0...v1.0.1)

**Merged pull requests:**
- Update how_it_works.md (#672) (@vpuri3)
- Bump codecov/codecov-action from 4 to 5 (#723) (@dependabot[bot])
- Do not seed structural zeros (#739) (@devmotion)

**Closed issues:**
- Duals and ranges (#275)
- Compiletime for tensor very slow (#278)
- gradients of hessians with divisions (#285)
- printf formatting causes stack overflow (#289)
- FieldVectors (#305)
- Problem with `abs` (#377)
- Complex valued pow gives stackoverflow error (#486)
- Complex derivative of power fails (#514)
- Replace values of Duals with other numbers (#526)
- Thread Safety of ForwardDiff.GradientConfig (#573)
- use StaticArraysCore.jl (#591)
- Violating assumptions about Dual comparisons (#609)
- ERROR: MethodError: no method matching Float32(::ForwardDiff.Dual{ForwardDiff.Tag{var"#11#12", Float32}, Float32, 12}) (#611)
- Derivative is wrong for this inverse quadratic form (#633)
- Different results on Intel vs. AMD with ForwardDiff (#636)
- Type instability in jacobian! filling JacobianResult when using StaticArrays (#639)
- incorrect 2nd derivative of complex exponential (#653)
- Derivative of a function of derivatives (#673)
- ERROR: Package ForwardDiff errored during testing (#700)
- UpperTriangular / LowerTriangular broken on 1.0.0 (#738)

v1.0.0

2025-03-26T15:50:38Z

[Diff since v0.10.38](v0.10.38...v1.0.0)

- Equality (`==`) on `Dual` numbers now requires both the real and dual part to match (#481). This removes a large number of bugs where the "structure" of e.g, non-zero values in an array was inspected, leading to erroneous derivatives. This might cause slightly different behavior in programs but should in general be more correct than previously.

**Merged pull requests:**
- Specialize on functions in StaticArrays extension (#721) (@devmotion)
- Remove CI check for invalidations (#722) (@devmotion)
- Bump version to 1.0.0 (#729) (@devmotion)
- Fix typo in DerivativeConfig docs (#733) (@gdalle)
- use `Base.Fix1` instead of closures in `ForwardDiffStaticArraysExt.jl` (#735) (@jondeuce)

**Closed issues:**
- Can you take derivative of complicated function whose symbolic form is not explicit or not known? (#654)
- Tag v1.0 (#719)
- Modification of equality checking between two Duals not synchronized between master and last release (#726)
- Throwing errors after 1000 time steps simulation (#736)
- Matrix inverse is broken (#737)

v0.10.38

2024-11-08T23:04:03Z

[Diff since v0.10.37](v0.10.37...v0.10.38)

**Merged pull requests:**
- Fix exponentiation for `NaNMath.pow` (#717) (@jClugstor)
- Backport #717 to 0.10 (#718) (@devmotion)

**Closed issues:**
- Implementation of Dual for `NaNMath.pow` does not use `NaNMath.log` (#716)

v0.10.37

2024-11-01T08:36:18Z

[Diff since v0.10.36](v0.10.36...v0.10.37)

**Merged pull requests:**
- Update how_it_works.md (#660) (@thomvet)
- Bump actions/checkout from 3 to 4 (#663) (@dependabot[bot])
- Update for Documenter.jl v1 (#683) (@hyrodium)
- Broaden promote_rule for Dual to include AbstractIrrational (#687) (@ElOceanografo)
- Restrict StaticArrays to compatible versions (#688) (@andreasnoack)
- Bump actions/cache from 3 to 4 (#692) (@dependabot[bot])
- Bump codecov/codecov-action from 3 to 4 (#693) (@dependabot[bot])
- Make `isless`, `<`, `>`, `<=`, and `>=` consistent with `==` and `isequal` (#695) (@devmotion)
- Bump julia-actions/setup-julia from 1 to 2 (#699) (@dependabot[bot])
- Add support for StaticArrays >= 1.7 (#703) (@devmotion)
- Remove redundant `DEFAULT_CHUNK_THRESHOLD` (#704) (@sjkelly)
- Stop precomputing chunk sizes (#708) (@KristofferC)
- Apply #656 to master (#711) (@devmotion)
- Backport bug and test fixes to release-0.10 to prepare for new 0.10 release (#712) (@devmotion)
- Fix method ambiguity for `Base.TwicePrecision` (#715) (@devmotion)

**Closed issues:**
- MethodError: no method matching getrf!(::CuArray{ForwardDiff.Dual{ForwardDiff.Tag{ODEFunction (#612)
- Broken external link (#649)
- Correctly forming nested dual numbers. (#671)
- `ForwardDiff` fails to compute correct derivative (#676)
- Error requiring `Symbolics` from `Optimization` (#685)
- promote_rule ambiguity with AbstractIrrational and ForwardDiff.Dual (#686)
- Working with anonymous functions (#694)

v0.10.36

2023-08-09T02:12:52Z

[Diff since v0.10.35](v0.10.35...v0.10.36)

**Closed issues:**
- Using a Pkg extension to reduce package load time caused by StaticArrays (#629)
- AD in-place instead of broadcast (#645)
- Is the mutating code the problem here? How could I debug this? (#646)

**Merged pull requests:**
- avoid defining one arg hash (#631) (@KristofferC)
- enable dependabot for GitHub actions (#635) (@ranocha)
- Fix two typos (#638) (@goggle)
- Bump codecov/codecov-action from 1 to 3 (#641) (@dependabot[bot])
- Bump actions/checkout from 2 to 3 (#642) (@dependabot[bot])
- Bump actions/cache from 1 to 3 (#643) (@dependabot[bot])
- Add test of second-order derivative of `t -> abs(t)^2` (#650) (@devmotion)
- `floatmin` for nested `Dual`s sharing the same tag (#656) (@chriselrod)
- example in docs (#657) (@cossio)

v0.10.35

2023-02-25T08:20:15Z

[Diff since v0.10.34](v0.10.34...v0.10.35)

**Closed issues:**
- type instabilities when passing a function to jacobian! (#516)
- Highly invalidating method: promote_rule(::Type{R}, ::Type{ForwardDiff.Dual{T, V, N}}) where {R<:Real, T, V, N} (#620)
- The Hessian of the `LinearAlgebra.jl` dot is incorrect (#622)
- Jacobian returns zero matrix (#623)

**Merged pull requests:**
- Forbid offsets (#586) (@mcabbott)
- Add Invalidations.yml [ci skip] [skip tests] (#596) (@ranocha)
- Version 0.11 (#613) (@mcabbott)
- Support specializing on functions (#615) (@j-fu)
- Remove `if VERSION ≥ v"1.4"` etc. (#616) (@mcabbott)
- Fix minor typo in advanced.md (#621) (@thomvet)
- Turn StaticArrays into an Extension Package (#625) (@ChrisRackauckas)
- make StaticArrays dependency into an extension on v0.11-dev (#628) (@ChrisRackauckas)

v0.10.34

2022-12-10T15:02:58Z

[Diff since v0.10.33](v0.10.33...v0.10.34)

**Closed issues:**
- Building ranges with Duals (#385)
- Automatic ChainRules compatibility (#579)
- Incorrect behavior of max(d::Dual, ::Float64) when partials are -Inf (#603)

**Merged pull requests:**
- Add link to ForwardDiffChainRules.jl (#608) (@gdalle)
- Backport #605 (dual exponent) to release-0.10 (#614) (@mcabbott)

v0.10.33

2022-12-02T13:28:04Z

[Diff since v0.10.32](v0.10.32...v0.10.33)

**Closed issues:**
- support for the determinant function (#197)
- Derivative of matrix inverse for diagonal matrix is not correct? (#490)
- Incorrect gradient with cascaded reshape, linear equation solver operations (#506)
- Derivative lost in 3-arg mul (#536)
- Inconsistent behavior in assignment to sparse matrices of Dual numbers (#542)
- The Hessian of x-> dot(x,H,x) should be H+H', not zero (#551)
- `==`(x,y) is true when only partials(y) have NaNs (#600)
- + Operator not defined for ForwardDiff.Dual{...} (#601)
- ldexp does not maintain type of Float32 arguments (#604)

**Merged pull requests:**
- Change `==` to ignore measure-zero branches (#481) (@mcabbott)
- Expand explanation of Preferences (#598) (@devmotion)
- dual exponent (#605) (@ptiede)

v0.10.32

2022-08-09T05:56:37Z

[Diff since v0.10.31](v0.10.31...v0.10.32)

**Merged pull requests:**
- DEFAULT_CHUNK_THRESHOLD is configurable via Preferences.jl (#582) (@lassepe)
- check for `iszero(partials(x))` in pow (#592) (@chriselrod)

v0.10.31

2022-08-04T22:30:31Z

[Diff since v0.10.30](v0.10.30...v0.10.31)

**Merged pull requests:**
- Define `SpecialFunctions.gamma_inc` for `ForwardDiff.Dual` (#587) (@devmotion)
- Update README.md (#588) (@mcabbott)