hotfix dx type

Author: ChrisRackauckas

Project.toml

@@ -1,7 +1,7 @@
 name = "SparseDiffTools"
 uuid = "47a9eef4-7e08-11e9-0b38-333d64bd3804"
 authors = ["Pankaj Mishra <pankajmishra1511@gmail.com>", "Chris Rackauckas <contact@chrisrackauckas.com>"]
-version = "0.10.2"
+version = "0.10.3"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"

src/differentiation/compute_jacobian_ad.jl

@@ -66,7 +66,7 @@ end
 
 function forwarddiff_color_jacobian(f,
                 x::AbstractArray{<:Number};
-                dx = similar(x), #if dx is nothing, we will estimate dx at the cost of a function call 
+                dx = copy(x), #if dx is nothing, we will estimate dx at the cost of a function call
                 colorvec = 1:length(x),
                 sparsity = nothing,
                 jac_prototype = nothing)
@@ -87,7 +87,7 @@ function forwarddiff_color_jacobian(f,x::AbstractArray{<:Number},jac_cache::Forw
     maxcolor = maximum(colorvec)
 
     vecx = vec(x)
-    
+
     J = jac_prototype isa Nothing ? (sparsity isa Nothing ? false .* vec(dx) .* vecx' : zeros(eltype(x),size(sparsity))) : zero(jac_prototype)
     nrows,ncols = size(J)
 

test/test_ad.jl

@@ -224,4 +224,4 @@ forwarddiff_color_jacobian!(J,iipf,x,dx=similar(x))
 x = SVector{1}([1.])
 f(x) = x
 J = forwarddiff_color_jacobian(f,x)
-@test J ≈ SMatrix{1,1}([1.])
+@test J ≈ SMatrix{1,1}([1.])