Adapt CI to new LTS (#553)

* Test Enzyme on 1.11

* Adapt CI to new LTS

* Rename LTS

* Replace Enzyme with Zygote in the docs

* Rm Enzyme

* Fix DW

* Otto

Author: gdalle

.github/workflows/Documentation.yml

@@ -38,7 +38,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@v2
         with:
-          version: '1.10'  # TODO: 1
+          version: '1'  # TODO: 1
       - uses: julia-actions/cache@v1
       - name: Install dependencies
         run: julia --project=${{ matrix.pkg.dir}}/docs/ -e '

.github/workflows/Test.yml

@@ -25,11 +25,11 @@ jobs:
       actions: write
       contents: read
     strategy:
-      fail-fast: false
+      fail-fast: true
       matrix:
         version:
-          - "1.10"  # TODO: 1 (as of 2024.10.08, 1 means 1.11 and we're not ready yet)
-          - "1.11"
+          - "1.10"
+          - "1"
         group:
           - Misc/Internals
           - Misc/DifferentiateWith
@@ -49,16 +49,16 @@ jobs:
           - Back/Zygote
           - Down/Flux
           - Down/Lux
-        skip_pre:
+        skip_lts:
           - ${{ github.event.pull_request.draft }}
         exclude:
-          - skip_pre: true
-            version: "1.11"
-          - version: "1.11"
+          # - skip_lts: true
+          #   version: "1.10"
+          - version: "1"
             group: Back/ChainRulesBackends
-          - version: "1.11"
+          - version: "1"
             group: Back/Enzyme
-          - version: "1.11"
+          - version: "1"
             group: Back/Mooncake
     env:
       JULIA_DI_TEST_GROUP: ${{ matrix.group }}
@@ -98,18 +98,18 @@ jobs:
       fail-fast: true
       matrix:
         version:
-          - "1.10"  # TODO: 1
-          - "1.11"
+          - "1.10"
+          - "1"
         group:
           - Formalities
           - Zero
           - Standard
           - Weird
-        skip_pre:
+        skip_lts:
           - ${{ github.event.pull_request.draft }}
-        exclude:
-          - skip_pre: true
-            version: "1.11"
+        # exclude:
+        #   - skip_lts: true
+        #     version: "1.10"
     env:
       JULIA_DIT_TEST_GROUP: ${{ matrix.group }}
     steps:

DifferentiationInterface/docs/Project.toml

@@ -5,7 +5,7 @@ DifferentiationInterface = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterInterLinks = "d12716ef-a0f6-4df4-a9f1-a5a34e75c656"
 DocumenterMermaid = "a078cd44-4d9c-4618-b545-3ab9d77f9177"
-Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
+FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
 PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"

DifferentiationInterface/docs/make.jl

@@ -6,7 +6,6 @@ using DocumenterMermaid
 using DocumenterInterLinks
 
 using ADTypes: ADTypes
-using Enzyme: Enzyme
 using ForwardDiff: ForwardDiff
 using Zygote: Zygote
 

DifferentiationInterface/docs/src/tutorials/basic.md

@@ -104,12 +104,12 @@ Beware that the `prep` object is nearly always mutated by differentiation operat
 ## Switching backends
 
 The whole point of DifferentiationInterface.jl is that you can easily experiment with different AD solutions.
-Typically, for gradients, reverse mode AD might be a better fit, so let's try the state-of-the-art [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl)!
+Typically, for gradients, reverse mode AD might be a better fit, so let's try [Zygote.jl](https://github.com/FluxML/Zygote.jl)!
 
 ```@example tuto_basic
-import Enzyme
+import Zygote
 
-backend2 = AutoEnzyme()
+backend2 = AutoZygote()
 ```
 
 Once the backend is created, things run smoothly with exactly the same syntax as before:

DifferentiationInterface/src/misc/differentiate_with.jl

@@ -33,15 +33,15 @@ Moreover, any larger algorithm `alg` that calls `f2` instead of `f` will also be
 ```jldoctest
 julia> using DifferentiationInterface
 
-julia> import Enzyme, ForwardDiff, Zygote
+julia> import FiniteDiff, ForwardDiff, Zygote
 
 julia> function f(x::Vector{Float64})
            a = Vector{Float64}(undef, 1)  # type constraint breaks ForwardDiff
            a[1] = sum(abs2, x)  # mutation breaks Zygote
            return a[1]
        end;
 
-julia> f2 = DifferentiateWith(f, AutoEnzyme());
+julia> f2 = DifferentiateWith(f, AutoFiniteDiff());
 
 julia> f([3.0, 5.0]) == f2([3.0, 5.0])
 true

DifferentiationInterfaceTest/docs/Project.toml

@@ -6,12 +6,11 @@ DifferentiationInterface = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
 DifferentiationInterfaceTest = "a82114a7-5aa3-49a8-9643-716bb13727a3"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterInterLinks = "d12716ef-a0f6-4df4-a9f1-a5a34e75c656"
-Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
 PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
-Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
+Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]
 Documenter = "1"

DifferentiationInterfaceTest/docs/src/tutorial.md

@@ -4,15 +4,15 @@ We present a typical workflow with DifferentiationInterfaceTest.jl, building on
 
 ```@repl tuto
 using DifferentiationInterface, DifferentiationInterfaceTest
-import ForwardDiff, Enzyme
+import ForwardDiff, Zygote
 ```
 
 ## Introduction
 
 The AD backends we want to compare are [ForwardDiff.jl](https://github.com/JuliaDiff/ForwardDiff.jl) and [Enzyme.jl](https://github.com/EnzymeAD/Enzyme.jl).
 
 ```@example tuto
-backends = [AutoForwardDiff(), AutoEnzyme(; mode=Enzyme.Reverse)]
+backends = [AutoForwardDiff(), AutoZygote()]
 ```
 
 To do that, we are going to take gradients of a simple function: