Merge pull request #905 from SciML/os/[email protected]

forwardDiff@1

Author: ChrisRackauckas

Project.toml

@@ -21,18 +21,87 @@ TerminalLoggers = "5d786b92-1e48-4d6f-9151-6b4477ca9bed"
 
 [compat]
 ADTypes = "1.2"
+Aqua = "0.8"
 ArrayInterface = "7.10"
+BenchmarkTools = "1"
+Boltz = "1"
+ComponentArrays = ">= 0.13.9"
 ConsoleProgressMonitor = "0.1.1"
+DiffEqFlux = "2, 3, 4"
 DocStringExtensions = "0.9"
+Enzyme = "0.13"
+FiniteDiff = "2"
+Flux = "0.13, 0.14, 0.15, 0.16"
+ForwardDiff = "0.10, 1"
+Ipopt = "1"
+IterTools = "1.3"
 LBFGSB = "0.4.1"
 LinearAlgebra = "1.10"
 Logging = "1.10"
 LoggingExtras = "0.4, 1"
+Lux = "1.12.4"
+MLUtils = "0.4"
+ModelingToolkit = "9"
+Optim = ">= 1.4.1"
 OptimizationBase = "2"
+OptimizationMOI = "0.5"
+OptimizationOptimJL = "0.4"
+OptimizationOptimisers = "0.3"
+OrdinaryDiffEqTsit5 = "1"
+Pkg = "1"
 Printf = "1.10"
 ProgressLogging = "0.1"
+Random = "1.10" 
 Reexport = "1.2"
+ReverseDiff = "1"
+SafeTestsets = "0.1"
 SciMLBase = "2.39.0"
+SciMLSensitivity = "7"
 SparseArrays = "1.10"
+SparseDiffTools = "2"
+Symbolics = "6"
 TerminalLoggers = "0.1"
-julia = "1.9"
+Test = "1.10"
+Tracker = "0.2"
+Optimisers = ">= 0.2.5"
+Zygote = "0.6, 0.7"
+julia = "1.10"
+
+[extras]
+Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
+BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+Boltz = "4544d5e4-abc5-4dea-817f-29e4c205d9c8"
+ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
+DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
+Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
+FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
+Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
+ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
+IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
+Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
+MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
+ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
+Optim = "429524aa-4258-5aef-a3af-852621145aeb"
+Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
+OptimizationMOI = "fd9f6733-72f4-499f-8506-86b2bdd0dea1"
+OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
+OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
+OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
+Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
+SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+SparseDiffTools = "47a9eef4-7e08-11e9-0b38-333d64bd3804"
+Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
+Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
+
+[targets]
+test = ["Aqua", "BenchmarkTools", "Boltz", "ComponentArrays", "DiffEqFlux", "Enzyme", "FiniteDiff", "Flux", "ForwardDiff",
+    "Ipopt", "IterTools", "Lux", "MLUtils", "ModelingToolkit", "Optim", "OptimizationMOI", "OptimizationOptimJL", "OptimizationOptimisers", 
+    "OrdinaryDiffEqTsit5", "Pkg", "Random", "ReverseDiff", "SafeTestsets", "SciMLSensitivity", "SparseArrays", "SparseDiffTools",
+    "Symbolics",  "Test", "Tracker", "Zygote"]

test/Project.toml

@@ -1,4 +1,4 @@
-using OrdinaryDiffEq, DiffEqFlux, Lux, Optimization, OptimizationOptimJL,
+using OrdinaryDiffEqTsit5, DiffEqFlux, Lux, Optimization, OptimizationOptimJL,
       OptimizationOptimisers, ForwardDiff, ComponentArrays, Random
 rng = Random.default_rng()
 Random.seed!(123)

test/diffeqfluxtests.jl

@@ -1,4 +1,3 @@
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
-OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"

test/downstream/Project.toml

@@ -1,4 +1,4 @@
-using DiffEqFlux, OrdinaryDiffEq, Flux, CUDA
+using DiffEqFlux, OrdinaryDiffEqTsit5, Flux, CUDA
 CUDA.allowscalar(false) # Makes sure no slow operations are occurring
 
 # Generate Data

test/downstream/gpu_neural_ode.jl

@@ -1,4 +1,4 @@
-using Optimization, OrdinaryDiffEq, OptimizationOptimisers,
+using Optimization, OrdinaryDiffEqTsit5, OptimizationOptimisers,
       SciMLSensitivity, Lux, Random, ComponentArrays, MLUtils
 using Test