remove lv from the package

Author: bvdmitri

Project.toml

@@ -18,7 +18,6 @@ ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 HCubature = "19dc6840-f33b-545b-b366-655c7e3ffd49"
 LazyArrays = "5078a376-72f3-5289-bfd5-ec5146d43c02"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
 MacroTools = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
 MatrixCorrectionTools = "41f81499-25de-46de-b591-c3cfc21e9eaf"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
@@ -62,7 +61,6 @@ ForwardDiff = "0.10"
 HCubature = "1.0.0"
 LazyArrays = "0.21, 0.22, 1, 2"
 LinearAlgebra = "1.9"
-LoopVectorization = "0.12"
 MacroTools = "0.5"
 MatrixCorrectionTools = "1.2.0"
 Optim = "1.0.0"

src/helpers/algebra/common.jl

@@ -2,7 +2,6 @@ export diageye
 
 using StatsFuns: logistic
 using StatsFuns: softmax, softmax!
-using LoopVectorization
 using SpecialFunctions: gamma, loggamma
 
 import LinearAlgebra
@@ -98,7 +97,7 @@ function mul_trace(A::AbstractMatrix, B::AbstractMatrix)
     @assert (sA === sB) && (length(sA) === 2) && (first(sA) === last(sA))
     result = zero(promote_type(eltype(A), eltype(B)))
     n = first(sA)
-    @turbo for i in 1:n
+    for i in 1:n
         for j in 1:n
             result += A[i, j] * B[j, i]
         end

test/helpers/algebra/common_tests.jl

@@ -59,11 +59,7 @@
             A = rand(rng, T1, size, size)
             B = rand(rng, T2, size, size)
 
-            # See: https://github.com/JuliaSIMD/LoopVectorization.jl/issues/377
-            # Remove if statement once fixed
-            if T1 !== Float32 || T2 !== Float32
-                @test ReactiveMP.mul_trace(A, B) ≈ tr(A * B)
-            end
+            @test ReactiveMP.mul_trace(A, B) ≈ tr(A * B)
 
             a = rand(rng, T1)
             b = rand(rng, T2)