drop LV 0.8, Julia 1.4

Author: mcabbott

.buildkite/pipeline.yml

@@ -3,10 +3,10 @@ env:
   # SECRET_CODECOV_TOKEN: "..."
 
 steps:
-  - label: "Julia 1.5"
+  - label: "Julia 1.6"
     plugins:
       - JuliaCI/julia#v0.5:
-          version: 1.5
+          version: 1.6
       - JuliaCI/julia-test#v0.3: ~
       # - JuliaCI/julia-coverage#v0.3:
       #     codecov: true

.github/workflows/ci.yml

@@ -26,7 +26,7 @@ jobs:
           - '1'
           # - '6' # t>2 might be ignored on Julia <= 1.5
         version:
-          # - '1.4'
+          - '1.5'
           - '1' # automatically expands to the latest stable 1.x release of Julia
     steps:
       - uses: actions/checkout@v2

Project.toml

@@ -1,29 +1,29 @@
 name = "Tullio"
 uuid = "bc48ee85-29a4-5162-ae0b-a64e1601d4bc"
 authors = ["Michael Abbott"]
-version = "0.2.13"
+version = "0.3.0"
 
 [deps]
 DiffRules = "b552c78f-8df3-52c6-915a-8e097449b14b"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
 
 [compat]
-CUDA = "1, 2"
+CUDA = "2"
 CUDAKernels = "0.1"
 DiffRules = "1"
-FillArrays = "0.10"
+FillArrays = "0.10, 0.11"
 ForwardDiff = "0.10"
 KernelAbstractions = "0.6"
-LoopVectorization = "0.8.26, 0.12.7"
+LoopVectorization = "0.12.12"
 NamedDims = "0.2"
 OffsetArrays = "1"
 Requires = "1"
 TensorOperations = "3"
 Tracker = "0.2"
-VectorizationBase = "0.12.33, 0.19.25"
-Zygote = "0.6"
-julia = "1.3"
+VectorizationBase = "0.19.25"
+Zygote = "0.6.9"
+julia = "1.5"
 
 [extras]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

src/eval.jl

@@ -51,19 +51,13 @@ using Requires
 
 @inline anyone(cond::Bool) = cond
 
+#=
+
 @init @require LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890" begin
-    using .LoopVectorization
-    if isdefined(LoopVectorization, :SVec) # version 0.8, for Julia ⩽1.5
-        using .LoopVectorization.VectorizationBase: SVec, Mask, prevpow2
-        @require ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210" begin
-            # Dual numbers + svec, not needed on version 0.9
-            include("grad/avxdual.jl")
-        end
-    else # version 0.9, supports Julia 1.6
-        using .LoopVectorization.VectorizationBase: Vec, Mask, prevpow2
-        SVec{N,T} = Vec{N,T}
+    using .LoopVectorization # version 0.9+ only now
+    using .LoopVectorization.VectorizationBase: Vec, Mask, prevpow2
+    SVec{N,T} = Vec{N,T}
     end
-#=
     # Functions needed for safe vectorised max gradient
     @inline Tullio.onlyone(cond::Bool, seen::SVec) = cond && allzero(seen)
 
@@ -75,9 +69,10 @@ using Requires
     @inline allzero(seen::SVec) = iszero((!iszero(seen)).u)
 
     @inline Tullio.anyone(cond::Mask) = !iszero(cond.u)
-=#
 end
 
+=#
+
 #========== CuArrays ==========#
 
 using Requires