Julia 1.6 compat (#243)

* Parsing works

* Fix JET compat

* Some tests are passing

* Skip formal tests

* Widen Symbolics compat

* Use Compat

* Replace with @compat

* Widen FiniteDiff compat

* No test on Diffractor

* Less diff

* Fix stack

* Remove more Diffractor

* No FastDifferentiation

* Fix docs

* Remove extensions

* Remove Tapir

* Add Compat 3

* Remove Symbolics

* Remove compat

* Fix stuff

* Remove PolyesterForwardDiff

* Fix

* Fix type stability

* Reput everything in docs

* Fix stdlib compats

* Remove stdlib compats

* Pkg dark magic

* No SparseDiffTools

* Right project

* Use the right DI

* Fix

* FiniteDiff is 1.10

* Fix failing tests

* Fix Compat

* Fix

* Fix

* Stdlib compat

* Relax FillArrays

* Force DI compat bounds in tmp env

* Revert some compat bounds

* FiniteDiff is a subset of FiniteDifferences

* Version bumps

* Fix FiniteDiff vs FiniteDifferences

* Docs warning

Author: gdalle

.github/workflows/Test.yml

@@ -33,6 +33,7 @@ jobs:
             dir: './DifferentiationInterfaceTest'
         version:
           - '1'
+          - '1.6'
         os:
           - ubuntu-latest
         arch:
@@ -46,6 +47,14 @@ jobs:
           arch: ${{ matrix.arch }}
       - uses: julia-actions/cache@v2
       - uses: julia-actions/julia-buildpkg@v1
+      - name: Dev dependencies (temporary)
+        run: julia --project=${{ matrix.pkg.dir}}/ -e '
+          using Pkg;
+          Pkg.Registry.update();
+          if "${{ matrix.pkg.name}}" == "DifferentiationInterfaceTest";
+              Pkg.develop(PackageSpec(path="./DifferentiationInterface"));
+          end;
+          Pkg.instantiate();'
       - uses: julia-actions/julia-runtest@v1
         with:
           project: ${{ matrix.pkg.dir }}

DifferentiationInterface/Project.toml

@@ -1,13 +1,15 @@
 name = "DifferentiationInterface"
 uuid = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
 authors = ["Guillaume Dalle", "Adrian Hill"]
-version = "0.3.3"
+version = "0.3.4"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
+Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+PackageExtensionCompat = "65ce6f38-6b18-4e1d-a461-8949797d7930"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 
 [weakdeps]
@@ -20,7 +22,6 @@ FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 PolyesterForwardDiff = "98d1487c-24ca-40b6-b7ab-df2af84e126b"
 ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
-SparseDiffTools = "47a9eef4-7e08-11e9-0b38-333d64bd3804"
 Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 Tapir = "07d77754-e150-4737-8c94-cd238a1fb45b"
 Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
@@ -44,29 +45,32 @@ DifferentiationInterfaceZygoteExt = "Zygote"
 [compat]
 ADTypes = "1.0.0"
 ChainRulesCore = "1.23.0"
+Compat = "3,4"
 Diffractor = "=0.2.6"
 DocStringExtensions = "0.9.3"
 Enzyme = "0.11.20,0.12"
 FastDifferentiation = "0.3.9"
-FillArrays = "1.9.3"
+FillArrays = "1.7.0"
 FiniteDiff = "2.23.1"
 FiniteDifferences = "0.12.31"
 ForwardDiff = "0.10.36"
-LinearAlgebra = "1"
+LinearAlgebra = "<0.0.1,1"
+PackageExtensionCompat = "1.0.2"
 PolyesterForwardDiff = "0.1.1"
 ReverseDiff = "1.15.1"
-SparseArrays = "1"
+SparseArrays = "<0.0.1,1"
 Symbolics = "5.27.1"
 Tapir = "0.2.4"
 Tracker = "0.2.33"
 Zygote = "0.6.69"
-julia = "1.10"
+julia = "1.6"
 
 [extras]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
+ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-DifferentiationInterfaceTest = "a82114a7-5aa3-49a8-9643-716bb13727a3"
+# DifferentiationInterfaceTest = "a82114a7-5aa3-49a8-9643-716bb13727a3"
 Diffractor = "9f5e2b26-1114-432f-b630-d3fe2085c51c"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
@@ -92,24 +96,12 @@ test = [
     "ADTypes",
     "Aqua",
     "DataFrames",
-    "DifferentiationInterfaceTest",
-    "Diffractor",
+    # "DifferentiationInterfaceTest",
     "Documenter",
-    "Enzyme",
-    "FastDifferentiation",
-    "FiniteDiff",
-    "FiniteDifferences",
-    "ForwardDiff",
     "JET",
     "JuliaFormatter",
     "Pkg",
-    "PolyesterForwardDiff",
-    "ReverseDiff",
     "SparseArrays",
     "SparseConnectivityTracer",
-    "Symbolics",
-    "Tapir",
     "Test",
-    "Tracker",
-    "Zygote",
 ]

DifferentiationInterface/docs/src/backends.md

@@ -68,6 +68,16 @@ For sparse backends, only the Jacobian and Hessian operators are implemented dif
 backend_table #hide
 ```
 
+!!! danger "Compatibility with Julia 1.6"
+    As of version 0.3.4, DifferentiationInterface.jl is compatible with Julia 1.6, the Long Term Support (LTS) version of the language.
+    However, we were only able to test the following backends on LTS:
+        - FiniteDifferences.jl
+        - ForwardDiff.jl
+        - ReverseDiff.jl
+        - Tracker.jl
+        - Zygote.jl
+    We strongly recommend that users upgrade to Julia 1.10, where all backends are tested.
+
 ## Checks
 
 ### Availability

DifferentiationInterface/docs/src/overloads.md

@@ -35,8 +35,8 @@ using FiniteDiff: FiniteDiff
 using FiniteDifferences: FiniteDifferences
 using ForwardDiff: ForwardDiff
 using PolyesterForwardDiff: PolyesterForwardDiff
-using Symbolics: Symbolics
 using ReverseDiff: ReverseDiff
+using Symbolics: Symbolics
 using Tapir: Tapir
 using Tracker: Tracker
 using Zygote: Zygote

DifferentiationInterface/ext/DifferentiationInterfaceChainRulesCoreExt/DifferentiationInterfaceChainRulesCoreExt.jl

@@ -9,6 +9,7 @@ using ChainRulesCore:
     RuleConfig,
     frule_via_ad,
     rrule_via_ad
+using Compat
 import DifferentiationInterface as DI
 using DifferentiationInterface: DifferentiateWith, NoPullbackExtras, NoPushforwardExtras
 

DifferentiationInterface/ext/DifferentiationInterfaceChainRulesCoreExt/differentiate_with.jl

@@ -1,11 +1,11 @@
 function ChainRulesCore.frule((_, dx), dw::DifferentiateWith, x)
-    (; f, backend) = dw
+    @compat (; f, backend) = dw
     y, dy = DI.value_and_pushforward(f, backend, x, dx)
     return y, dy
 end
 
 function ChainRulesCore.rrule(dw::DifferentiateWith, x)
-    (; f, backend) = dw
+    @compat (; f, backend) = dw
     y, pullbackfunc = DI.value_and_pullback_split(f, backend, x)
     pullbackfunc_adjusted(dy) = (NoTangent(), pullbackfunc(dy))
     return y, pullbackfunc_adjusted

DifferentiationInterface/ext/DifferentiationInterfaceForwardDiffExt/DifferentiationInterfaceForwardDiffExt.jl

@@ -2,6 +2,7 @@ module DifferentiationInterfaceForwardDiffExt
 
 using ADTypes: AbstractADType, AutoForwardDiff
 using Base: Fix1
+using Compat
 import DifferentiationInterface as DI
 using DifferentiationInterface:
     DerivativeExtras,

DifferentiationInterface/ext/DifferentiationInterfaceForwardDiffExt/onearg.jl

@@ -21,7 +21,7 @@ end
 function compute_ydual_onearg(
     f::F, x, dx, extras::ForwardDiffOneArgPushforwardExtras{T}
 ) where {F,T}
-    (; xdual_tmp) = extras
+    @compat (; xdual_tmp) = extras
     make_dual!(T, xdual_tmp, x, dx)
     ydual = f(xdual_tmp)
     return ydual

DifferentiationInterface/ext/DifferentiationInterfaceForwardDiffExt/twoarg.jl

@@ -17,7 +17,7 @@ end
 function compute_ydual_twoarg(
     f!::F, y, x::Number, dx, extras::ForwardDiffTwoArgPushforwardExtras{T}
 ) where {F,T}
-    (; ydual_tmp) = extras
+    @compat (; ydual_tmp) = extras
     xdual_tmp = make_dual(T, x, dx)
     f!(ydual_tmp, xdual_tmp)
     return ydual_tmp
@@ -26,7 +26,7 @@ end
 function compute_ydual_twoarg(
     f!::F, y, x, dx, extras::ForwardDiffTwoArgPushforwardExtras{T}
 ) where {F,T}
-    (; xdual_tmp, ydual_tmp) = extras
+    @compat (; xdual_tmp, ydual_tmp) = extras
     make_dual!(T, xdual_tmp, x, dx)
     f!(ydual_tmp, xdual_tmp)
     return ydual_tmp

DifferentiationInterface/ext/DifferentiationInterfaceTrackerExt/DifferentiationInterfaceTrackerExt.jl

@@ -4,6 +4,7 @@ using ADTypes: AutoTracker
 import DifferentiationInterface as DI
 using DifferentiationInterface: NoGradientExtras, NoPullbackExtras
 using Tracker: Tracker, back, data, forward, gradient, jacobian, param, withgradient
+using Compat
 
 DI.check_available(::AutoTracker) = true
 DI.twoarg_support(::AutoTracker) = DI.TwoArgNotSupported()
@@ -34,12 +35,12 @@ end
 DI.prepare_gradient(f, ::AutoTracker, x) = NoGradientExtras()
 
 function DI.value_and_gradient(f, ::AutoTracker, x, ::NoGradientExtras)
-    (; val, grad) = withgradient(f, x)
+    @compat (; val, grad) = withgradient(f, x)
     return val, data(only(grad))
 end
 
 function DI.gradient(f, ::AutoTracker, x, ::NoGradientExtras)
-    (; grad) = withgradient(f, x)
+    @compat (; grad) = withgradient(f, x)
     return data(only(grad))
 end