Augmented Lagrangian Learning Method

Project.toml

@@ -3,11 +3,30 @@ uuid = "f31bfc7b-7b5d-4cc3-b76b-1af281ce159d"
 authors = ["Andrew <[email protected]> and contributors"]
 version = "1.0.0-DEV"
 
+[deps]
+BatchNLPKernels = "7145f916-0e30-4c9d-93a2-b32b6056125d"
+CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
+ExaModels = "1037b233-b668-4ce9-9b63-f9f681f55dd2"
+Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
+LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
+Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
 [compat]
 julia = "1.6.7"
 
 [extras]
+GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
+KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
+MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
+PGLib = "07a8691f-3d11-4330-951b-3c50f98338be"
+PowerModels = "c36e90e8-916a-50a6-bd94-075b64ef4655"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
+[sources.BatchNLPKernels]
+url = "https://github.com/klamike/BatchNLPKernels.jl"
+
 [targets]
-test = ["Test"]
+test = ["Test", "PowerModels", "PGLib", "Random", "MLUtils", "KernelAbstractions", "GPUArraysCore"]

README.md

@@ -2,8 +2,8 @@
 
 Learning To Optimize using the Augmented Lagrangian Primal-Dual Method.
 
-[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://andrewrosemberg.github.io/L2OALM.jl/stable/)
-[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://andrewrosemberg.github.io/L2OALM.jl/dev/)
-[![Build Status](https://github.com/andrewrosemberg/L2OALM.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/andrewrosemberg/L2OALM.jl/actions/workflows/CI.yml?query=branch%3Amain)
-[![Coverage](https://codecov.io/gh/andrewrosemberg/L2OALM.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/andrewrosemberg/L2OALM.jl)
+[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://LearningToOptimize.github.io/L2OALM.jl/stable/)
+[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://LearningToOptimize.github.io/L2OALM.jl/dev/)
+[![Build Status](https://github.com/LearningToOptimize/L2OALM.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/LearningToOptimize/L2OALM.jl/actions/workflows/CI.yml?query=branch%3Amain)
+[![Coverage](https://codecov.io/gh/LearningToOptimize/L2OALM.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/LearningToOptimize/L2OALM.jl)
 

docs/make.jl

@@ -1,23 +1,18 @@
 using L2OALM
 using Documenter
 
-DocMeta.setdocmeta!(L2OALM, :DocTestSetup, :(using L2OALM); recursive=true)
+DocMeta.setdocmeta!(L2OALM, :DocTestSetup, :(using L2OALM); recursive = true)
 
 makedocs(;
-    modules=[L2OALM],
-    authors="Andrew <[email protected]> and contributors",
-    sitename="L2OALM.jl",
-    format=Documenter.HTML(;
-        canonical="https://andrewrosemberg.github.io/L2OALM.jl",
-        edit_link="main",
-        assets=String[],
+    modules = [L2OALM],
+    authors = "Andrew <[email protected]> and contributors",
+    sitename = "L2OALM.jl",
+    format = Documenter.HTML(;
+        canonical = "https://LearningToOptimize.github.io/L2OALM.jl",
+        edit_link = "main",
+        assets = String[],
     ),
-    pages=[
-        "Home" => "index.md",
-    ],
+    pages = ["Home" => "index.md"],
 )
 
-deploydocs(;
-    repo="github.com/andrewrosemberg/L2OALM.jl",
-    devbranch="main",
-)
+deploydocs(; repo = "github.com/LearningToOptimize/L2OALM.jl", devbranch = "main")

docs/src/index.md

@@ -4,7 +4,7 @@ CurrentModule = L2OALM
 
 # L2OALM
 
-Documentation for [L2OALM](https://github.com/andrewrosemberg/L2OALM.jl).
+Documentation for [L2OALM](https://github.com/LearningToOptimize/L2OALM.jl).
 
 ```@index
 ```