keep alg

Project.toml

@@ -11,7 +11,6 @@ ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
 ComputationalResources = "ed09eef8-17a6-5b46-8889-db040fac31e3"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
-DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 DistributionsAD = "ced4e74d-a319-5a8a-b0ac-84af2272839c"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
@@ -25,6 +24,7 @@ NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
 Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
 OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
+OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
@@ -49,7 +49,6 @@ ComponentArrays = "0.15.5"
 ComputationalResources = "0.3"
 DataFrames = "1"
 Dates = "1"
-DifferentialEquations = "7"
 Distributions = "0.25"
 DistributionsAD = "0.6"
 FillArrays = "1"
@@ -63,6 +62,7 @@ NNlib = "0.9"
 Optimisers = "0.3"
 Optimization = "3.15"
 OptimizationOptimisers = "0.1, 0.2"
+OrdinaryDiffEq = "6"
 ProgressMeter = "1"
 Random = "1"
 SciMLBase = "2"

src/ContinuousNormalizingFlows.jl

@@ -7,7 +7,6 @@ using AbstractDifferentiation,
     ComponentArrays,
     ComputationalResources,
     DataFrames,
-    DifferentialEquations,
     Dates,
     Distributions,
     DistributionsAD,
@@ -22,6 +21,7 @@ using AbstractDifferentiation,
     Optimisers,
     Optimization,
     OptimizationOptimisers,
+    OrdinaryDiffEq,
     ProgressMeter,
     Random,
     ScientificTypes,

src/base.jl

@@ -25,7 +25,10 @@ function construct(
         AutoForwardDiff(),
         AutoZygote(),
     ),
-    sol_kwargs::NamedTuple = (save_everystep = false,),
+    sol_kwargs::NamedTuple = (
+        save_everystep = false,
+        alg = Tsit5(; thread = OrdinaryDiffEq.True()),
+    ),
     rng::AbstractRNG = rng_AT(resource),
     λ₁::AbstractFloat = convert(data_type, 1e-2),
     λ₂::AbstractFloat = convert(data_type, 1e-2),