Merge pull request #137 from JuliaDiff/depwarn

fix depwarn

Author: ChrisRackauckas

src/SparseDiffTools.jl

@@ -13,7 +13,7 @@ using LinearAlgebra
 using SparseArrays, ArrayInterface
 
 using ForwardDiff: Dual, jacobian, partials, DEFAULT_CHUNK_THRESHOLD
-using DataStructures: DisjointSets, find_root, union!
+using DataStructures: DisjointSets, find_root!, union!
 
 using ArrayInterface: matrix_colors
 

src/coloring/acyclic_coloring.jl

@@ -192,7 +192,7 @@ function find(w::Integer,
               g::LightGraphs.AbstractGraph,
               two_colored_forest::DisjointSets{<:Integer})
     edge_index = find_edge_index(w, x, g)
-    return find_root(two_colored_forest, edge_index)
+    return find_root!(two_colored_forest, edge_index)
 end
 
 

test/gpu/Project.toml

@@ -1,2 +1,2 @@
 [deps]
-CuArrays = "3a865a2d-5b23-5a0f-bc46-62713ec82fae"
+CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

test/test_gpu_ad.jl

@@ -1,4 +1,4 @@
-using SparseDiffTools, CuArrays, Test, LinearAlgebra
+using SparseDiffTools, CUDA, Test, LinearAlgebra
 using ArrayInterface: allowed_getindex, allowed_setindex!
 function f(dx,x)
     dx[2:end-1] = x[1:end-2] - 2x[2:end-1] + x[3:end]
@@ -10,7 +10,7 @@ end
 _J1 = similar(rand(30,30))
 _denseJ1 = cu(collect(_J1))
 x = cu(rand(30))
-CuArrays.allowscalar(false)
+CUDA.allowscalar(false)
 forwarddiff_color_jacobian!(_denseJ1, f, x)
 @test_broken forwarddiff_color_jacobian!(_denseJ1, f, x, sparsity = _J1) isa Nothing
 @test_broken forwarddiff_color_jacobian!(_denseJ1, f, x, colorvec = repeat(1:3,10), sparsity = _J1) isa Nothing