Move ReverseDiff defs for LazyBuffer to SciMLSensitivity

Project.toml

@@ -7,29 +7,23 @@ version = "0.4.3"
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
 ArrayInterfaceCore = "30b0a656-2188-435a-8636-2ec0e6a096e2"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
-ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
 
 [compat]
 Adapt = "3"
 ArrayInterfaceCore = "0.1.1"
 ForwardDiff = "0.10.3"
-ReverseDiff = "1"
 julia = "1.6"
 
 [extras]
-FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
 LabelledArrays = "2ee39098-c373-598a-b85f-a56591580800"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
 OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
-Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
-SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["FiniteDiff", "LabelledArrays", "LinearAlgebra", "OrdinaryDiffEq", "Test", "Random", "RecursiveArrayTools", "Pkg", "SafeTestsets", "Optimization", "OptimizationOptimJL", "SciMLSensitivity", "Zygote"]
+test = ["LabelledArrays", "LinearAlgebra", "OrdinaryDiffEq", "Test", "RecursiveArrayTools", "Pkg", "SafeTestsets", "Optimization", "OptimizationOptimJL"]

src/PreallocationTools.jl

@@ -1,7 +1,6 @@
 module PreallocationTools
 
 using ForwardDiff, ArrayInterfaceCore, Adapt
-import ReverseDiff
 
 struct DiffCache{T <: AbstractArray, S <: AbstractArray}
     du::T
@@ -100,16 +99,6 @@ function Base.getindex(b::LazyBufferCache, u::T) where {T <: AbstractArray}
     return buf
 end
 
-function Base.getindex(b::LazyBufferCache, u::ReverseDiff.TrackedArray)
-    s = b.sizemap(size(u)) # required buffer size
-    T = ReverseDiff.TrackedArray
-    buf = get!(b.bufs, (T, s)) do
-        # declare type since b.bufs dictionary is untyped
-        similar(u, s)
-    end
-    return buf
-end
-
 export dualcache, get_tmp, LazyBufferCache
 
 end

test/core_nesteddual.jl

@@ -59,7 +59,8 @@ end
 ps = 2 #use to specify problem size; don't go crazy on this, because of the compilation time...
 coeffs = -collect(0.1:0.1:(ps^2 / 10))
 cache = dualcache(zeros(ps, ps), levels = 3)
-prob = ODEProblem(foo, ones(ps, ps), (0.0, 1.0), (coeffs, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, ones(ps, ps), (0.0, 1.0),
+                                                  (coeffs, cache))
 realsol = solve(prob, TRBDF2(), saveat = 0.0:0.1:10.0, reltol = 1e-8)
 
 function objfun(x, prob, realsol, cache)
@@ -83,7 +84,8 @@ newtonsol = solve(optprob, Newton())
 
 #an example where chunk_sizes are not the same on all differentiation levels:
 cache = dualcache(zeros(ps, ps), [4, 4, 2])
-prob = ODEProblem(foo, ones(ps, ps), (0.0, 1.0), (coeffs, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, ones(ps, ps), (0.0, 1.0),
+                                                  (coeffs, cache))
 realsol = solve(prob, TRBDF2(chunk_size = 2), saveat = 0.0:0.1:10.0, reltol = 1e-8)
 
 function objfun(x, prob, realsol, cache)

test/core_odes.jl

@@ -13,13 +13,13 @@ chunk_size = 5
 u0 = ones(5, 5)
 A = ones(5, 5)
 cache = dualcache(zeros(5, 5), chunk_size)
-prob = ODEProblem(foo, u0, (0.0, 1.0), (A, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, u0, (0.0, 1.0), (A, cache))
 sol = solve(prob, TRBDF2(chunk_size = chunk_size))
 @test sol.retcode == :Success
 
 #with auto-detected chunk_size
 cache = dualcache(zeros(5, 5))
-prob = ODEProblem(foo, ones(5, 5), (0.0, 1.0), (A, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, ones(5, 5), (0.0, 1.0), (A, cache))
 sol = solve(prob, TRBDF2())
 @test sol.retcode == :Success
 
@@ -30,7 +30,8 @@ function foo(du, u, (A, lbc), t)
     @. du = u + tmp
     nothing
 end
-prob = ODEProblem(foo, ones(5, 5), (0.0, 1.0), (ones(5, 5), LazyBufferCache()))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, ones(5, 5), (0.0, 1.0),
+                                                  (ones(5, 5), LazyBufferCache()))
 sol = solve(prob, TRBDF2())
 @test sol.retcode == :Success
 
@@ -46,10 +47,11 @@ function foo(du, u, (A, tmp), t)
 end
 #with specified chunk_size
 chunk_size = 4
-prob = ODEProblem(foo, u0, (0.0, 1.0), (A, dualcache(c, chunk_size)))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, u0, (0.0, 1.0),
+                                                  (A, dualcache(c, chunk_size)))
 sol = solve(prob, TRBDF2(chunk_size = chunk_size))
 @test sol.retcode == :Success
 #with auto-detected chunk_size
-prob = ODEProblem(foo, u0, (0.0, 1.0), (A, dualcache(c)))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, u0, (0.0, 1.0), (A, dualcache(c)))
 sol = solve(prob, TRBDF2())
 @test sol.retcode == :Success

test/gpu_all.jl

@@ -39,15 +39,15 @@ chunk_size = 10
 u0 = cu(rand(10, 10)) #example kept small for test purposes.
 A = cu(-randn(10, 10))
 cache = dualcache(cu(zeros(10, 10)), chunk_size)
-prob = ODEProblem(foo, u0, (0.0f0, 1.0f0), (A, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, u0, (0.0f0, 1.0f0), (A, cache))
 sol = solve(prob, TRBDF2(chunk_size = chunk_size))
 @test sol.retcode == :Success
 
 #with auto-detected chunk_size
 u0 = cu(rand(10, 10)) #example kept small for test purposes.
 A = cu(-randn(10, 10))
 cache = dualcache(cu(zeros(10, 10)))
-prob = ODEProblem(foo, u0, (0.0f0, 1.0f0), (A, cache))
+prob = ODEProblem{true, SciMLBase.FullSpecialize}(foo, u0, (0.0f0, 1.0f0), (A, cache))
 sol = solve(prob, TRBDF2())
 @test sol.retcode == :Success
 

test/runtests.jl

@@ -15,7 +15,6 @@ if GROUP == "All" || GROUP == "Core"
     @safetestset "ODE tests" begin include("core_odes.jl") end
     @safetestset "Resizing" begin include("core_resizing.jl") end
     @safetestset "Nested Duals" begin include("core_nesteddual.jl") end
-    @safetestset "ODE Sensitivity analysis" begin include("upstream/sensitivity_analysis.jl") end
 end
 
 if !is_APPVEYOR && GROUP == "GPU"