Deprecate LV for Julia >= 1.11-DEV

Project.toml

@@ -1,7 +1,7 @@
 name = "LoopVectorization"
 uuid = "bdcacae8-1622-11e9-2a5c-532679323890"
 authors = ["Chris Elrod <elrodc@gmail.com>"]
-version = "0.12.166"
+version = "0.12.167"
 
 [deps]
 ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"

README.md

@@ -12,6 +12,10 @@
 
 [![LoopVectorization Downloads](https://shields.io/endpoint?url=https://pkgs.genieframework.com/api/v1/badge/LoopVectorization)](https://pkgs.genieframework.com?packages=LoopVectorization)
 
+# NOTE: Deprecated for Julia v1.11 and above!
+
+LoopVectorization only works for Julia 1.3 through 1.10. For 1.11 and newer, it simply uses `@inbounds @fastmath` instead, so it should still get roughly the same answer, but both runtime and compile time performance may change dramatically.
+
 ## Installation
 
 ```julia

ext/ForwardDiffExt.jl

@@ -1,4 +1,5 @@
 module ForwardDiffExt
+if VERSION < v"1.11-DEV"
 import ForwardDiff, ChainRulesCore
 using LoopVectorization, VectorizationBase, SLEEFPirates, ForwardDiff
 
@@ -377,3 +378,4 @@ for f in (:vmapt, :vmapnt, :vmapntt)
   end
 end
 end
+end

ext/SpecialFunctionsExt.jl

@@ -1,6 +1,8 @@
 module SpecialFunctionsExt
+if VERSION < v"1.11-DEV"
 using SpecialFunctions
 using LoopVectorization: VectorizationBase
 using LoopVectorization: AbstractSIMD
 @inline SpecialFunctions.erf(x::AbstractSIMD) = VectorizationBase.verf(float(x))
 end
+end