Skip to content

improve performance #522

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
prbzrg merged 3 commits into from
Apr 28, 2026
Merged

improve performance #522

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
46c3261
add optional pkgs
prbzrg Apr 28, 2026
61bbbc7
pass the kwargs to problems
prbzrg Apr 28, 2026
09aafd8
compat
prbzrg Apr 28, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 9 additions & 1 deletion Project.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,18 +11,22 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DifferentiationInterface = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DistributionsAD = "ced4e74d-a319-5a8a-b0ac-84af2272839c"
FastBroadcast = "7034ab61-46d4-4ed7-9d0f-46aef9175898"
FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
LuxCore = "bb33d45b-7691-41d6-9220-0943567d0623"
MLDataDevices = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
Octavian = "6fd5a793-0b7e-452c-907f-f8bfe9c57db4"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
OrdinaryDiffEqAdamsBashforthMoulton = "89bda076-bce5-4f1c-845f-551c83cdda9a"
Polyester = "f517fe37-dbe3-4b94-8317-1923a5111588"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
Expand All @@ -40,18 +44,22 @@ DataFrames = "1"
DifferentiationInterface = "0.7"
Distributions = "0.25"
DistributionsAD = "0.6"
FastBroadcast = "1"
FillArrays = "1"
LinearAlgebra = "1"
LoopVectorization = "0.12"
Lux = "1"
LuxCore = "1"
MLDataDevices = "1"
MLJBase = "1"
MLJModelInterface = "1"
MLUtils = "0.4"
NNlib = "0.9"
Octavian = "0.3"
Optimisers = "0.4"
OptimizationOptimisers = "0.3"
OrdinaryDiffEqAdamsBashforthMoulton = "1"
OrdinaryDiffEqAdamsBashforthMoulton = "1, 2"
Polyester = "0.7"
Random = "1"
SciMLBase = "2, 3"
SciMLSensitivity = "7"
Expand Down
4 changes: 4 additions & 0 deletions src/ContinuousNormalizingFlows.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,18 +7,22 @@ import ADTypes,
DifferentiationInterface,
Distributions,
DistributionsAD,
FastBroadcast,
FillArrays,
LinearAlgebra,
LoopVectorization,
Lux,
LuxCore,
MLDataDevices,
MLJBase,
MLJModelInterface,
MLUtils,
NNlib,
Octavian,
Optimisers,
OptimizationOptimisers,
OrdinaryDiffEqAdamsBashforthMoulton,
Polyester,
Random,
SciMLBase,
SciMLSensitivity,
Expand Down
24 changes: 16 additions & 8 deletions src/core/base_icnf.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -213,7 +213,8 @@ function inference_prob(
),
vcat(xs, zrs),
steer_tspan(icnf, mode),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -238,7 +239,8 @@ function inference_prob(
),
vcat(xs, zrs),
steer_tspan(icnf, mode),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -262,7 +264,8 @@ function inference_prob(
),
vcat(xs, zrs),
steer_tspan(icnf, mode),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -287,7 +290,8 @@ function inference_prob(
),
vcat(xs, zrs),
steer_tspan(icnf, mode),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -312,7 +316,8 @@ function generate_prob(
),
vcat(new_xs, zrs),
reverse(steer_tspan(icnf, mode)),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -338,7 +343,8 @@ function generate_prob(
),
vcat(new_xs, zrs),
reverse(steer_tspan(icnf, mode)),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -364,7 +370,8 @@ function generate_prob(
),
vcat(new_xs, zrs),
reverse(steer_tspan(icnf, mode)),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand All @@ -391,7 +398,8 @@ function generate_prob(
),
vcat(new_xs, zrs),
reverse(steer_tspan(icnf, mode)),
ps,
ps;
icnf.sol_kwargs...,
)
end

Expand Down
3 changes: 2 additions & 1 deletion src/exts/mlj_ext/core_cond_icnf.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,8 @@ function MLJModelInterface.fit(model::CondICNFModel, verbosity, XY)
model.adtype,
),
ps,
data,
data;
model.sol_kwargs...,
)
res_stats = Any[]
for opt in model.optimizers
Expand Down
3 changes: 2 additions & 1 deletion src/exts/mlj_ext/core_icnf.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,8 @@ function MLJModelInterface.fit(model::ICNFModel, verbosity, X)
model.adtype,
),
ps,
data,
data;
model.sol_kwargs...,
)
res_stats = Any[]
for opt in model.optimizers
Expand Down
Loading