Aggregate changes for v1

.buildkite/documentation.yml

@@ -2,9 +2,9 @@ steps:
   - group: ":open_book: Build & Deploy Documentation"
     if: build.message !~ /\[skip docs\]/ && !build.pull_request.draft
     steps:
-      - label: "Tutorial Build [%N/%t]"
-        key: "tutorial-build"
-        parallelism: 6
+      - label: "Tutorial Build [%N/%t] CUDA Runners"
+        key: "tutorial-build-cuda"
+        parallelism: 4
         plugins:
           - JuliaCI/julia#v1:
               version: "1"
@@ -13,7 +13,9 @@ steps:
               dirs:
                 - src
                 - ext
-        command: julia --code-coverage=user --color=yes --project=docs docs/tutorials.jl
+        command: julia --code-coverage=user --color=yes --project=docs --threads=auto docs/tutorials.jl
+        env:
+          TUTORIAL_BACKEND_GROUP: "CUDA"
         agents:
           queue: "juliagpu"
           cuda: "*"
@@ -22,10 +24,40 @@ steps:
           - "docs/src/tutorials/intermediate/**/*"
           - "docs/src/tutorials/advanced/**/*"
           - "tutorial_deps/*"
+          - "**/*.cov"
+        timeout_in_minutes: 60
+
+      - label: "Tutorial Build [%N/%t] CPU Runners"
+        if: build.message !~ /\[skip docs\]/ && !build.pull_request.draft
+        key: "tutorial-build-cpu"
+        parallelism: 4
+        plugins:
+          - JuliaCI/julia#v1:
+              version: "1"
+          # - JuliaCI/julia-coverage#v1:
+          #     codecov: true
+          #     dirs:
+          #       - src
+          #       - ext
+        command: julia --code-coverage=user --color=yes --project=docs --threads=auto docs/tutorials.jl
+        env:
+          TUTORIAL_BACKEND_GROUP: "CPU"
+        agents:
+          queue: "juliaecosystem"
+          os: "linux"
+          arch: "x86_64"
+        artifact_paths:
+          - "docs/src/tutorials/beginner/**/*"
+          - "docs/src/tutorials/intermediate/**/*"
+          - "docs/src/tutorials/advanced/**/*"
+          - "tutorial_deps/*"
+          - "**/*.cov"
         timeout_in_minutes: 60
 
       - label: "Final Documentation Build"
-        depends_on: [tutorial-build]
+        depends_on:
+          - "tutorial-build-cuda"
+          - "tutorial-build-cpu"
         plugins:
           - JuliaCI/julia#v1:
               version: "1"
@@ -65,4 +97,4 @@ env:
   JULIA_NUM_THREADS: 4
   GKSwstype: "100" # https://discourse.julialang.org/t/generation-of-documentation-fails-qt-qpa-xcb-could-not-connect-to-display/60988
   SECRET_CODECOV_TOKEN: "jQ0BMTQgyZx7QGyU0Q2Ec7qB9mtE2q/tDu0FsfxvEG7/zOAGvXkyXrzIFFOQxvDoFcP+K2+hYZKMxicYdNqzr5wcxu505aNGN2GM3wyegAr+hO6q12bCFYx6qXzU9FLCCdeqINqn9gUSSOlGtWNFrbAlrTyz/D4Yo66TqBDzvaLL63FMnhCLaXW/zJt3hNuEAJaPY2O6Ze1rX2WZ3Y+i+s3uQ8aLImtoCJhPe8CRx+OhuYiTzGhynFfGntZ0738/1RN4gNM0S/hTC4gLE7XMVBanJpGh32rFaiDwW4zAyXKBrDkL3QA3MS1RvLTJxGJ085S16hCk0C4ddAhZCvIM9Q==;U2FsdGVkX1+bXdFeKMs5G79catOCyby2n07A2fg0FjVAvrjQLZ0yfvDS4paJiFikLkodho0khz2YALKb2Y0K6w=="
-  SECRET_DOCUMENTER_KEY: "iRC4P/r5o9pARB670eK9jPlKQKgkTMDAyvp2GbLG8WwLuT8T1VcWx/o4+ofGlzbTh5Z+LuFgPXfgqkjGuoWLcocHNm78xQMNMywB4rcLB2shqp8xG2vhglgnTBBS4EiyPAtVqGyi5AKmfF95PfkJvnI0Lqg5P/RWQvNGywLAR0Ikgr/lqocm2CvkFGbpMzpGxGvj76JYOusVeKvGAp698TXqPabSZR2oZQLfYnEZnaO8ivkqvMGQSXfgzoIMjCOrN1rSa84SWeI9BDeBslzDHwaYGlvjpfCyviiLtKj4t5Acl1gVE0qxxZxWuALIU6z+C1W8TbW7ZDCBUFs6UTIT+Q==;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"
+  SECRET_DOCUMENTER_KEY: "iRC4P/r5o9pARB670eK9jPlKQKgkTMDAyvp2GbLG8WwLuT8T1VcWx/o4+ofGlzbTh5Z+LuFgPXfgqkjGuoWLcocHNm78xQMNMywB4rcLB2shqp8xG2vhglgnTBBS4EiyPAtVqGyi5AKmfF95PfkJvnI0Lqg5P/RWQvNGywLAR0Ikgr/lqocm2CvkFGbpMzpGxGvj76JYOusVeKvGAp698TXqPabSZR2oZQLfYnEZnaO8ivkqvMGQSXfgzoIMjCOrN1rSa84SWeI9BDeBslzDHwaYGlvjpfCyviiLtKj4t5Acl1gVE0qxxZxWuALIU6z+C1W8TbW7ZDCBUFs6UTIT+Q==;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"

.buildkite/pipeline.yml

@@ -1,6 +1,6 @@
 steps:
   - label: "Triggering Pipelines (Pull Request)"
-    if: "build.pull_request.base_branch == 'main'"
+    if: build.branch != "main" || build.tag == null
     agents:
       queue: "juliagpu"
     plugins:

.github/workflows/CI.yml

@@ -154,8 +154,6 @@ jobs:
         with:
           version: ${{ matrix.version }}
       - uses: julia-actions/julia-downgrade-compat@v1
-        with:
-          skip: 'AMDGPU'
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
         env:

Project.toml

@@ -1,7 +1,7 @@
 name = "Lux"
 uuid = "b2108857-7c20-44ae-9111-449ecde12c47"
 authors = ["Avik Pal <[email protected]> and contributors"]
-version = "0.5.68"
+version = "1.0.0"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -20,7 +20,6 @@ GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LossFunctions = "30fc2ffe-d236-52d8-8643-a9d8f7c094a7"
 LuxCore = "bb33d45b-7691-41d6-9220-0943567d0623"
-LuxDeviceUtils = "34f89e08-e1d5-43b4-8944-0b49ac560553"
 LuxLib = "82251201-b29d-42c6-8e01-566dec8acb11"
 MLDataDevices = "7e8f7934-dd98-4c1a-8fe8-92b47a384d40"
 MacroTools = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
@@ -42,7 +41,6 @@ WeightInitializers = "d49dbf32-c5c2-4618-8acc-27bb2598ef2d"
 [weakdeps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
-DynamicExpressions = "a40a106e-89c9-4ca8-8020-a735e8728b6b"
 Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 FunctionWrappers = "069b7b12-0de2-55c6-9aab-29f3d0a68a2e"
@@ -56,7 +54,6 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [extensions]
 LuxComponentArraysExt = "ComponentArrays"
-LuxDynamicExpressionsExt = "DynamicExpressions"
 LuxEnzymeExt = "Enzyme"
 LuxFluxExt = "Flux"
 LuxMLUtilsExt = "MLUtils"
@@ -70,15 +67,14 @@ LuxZygoteExt = "Zygote"
 [compat]
 ADTypes = "1.5"
 Adapt = "4"
-ArgCheck = "2.1"
+ArgCheck = "2.3"
 ArrayInterface = "7.9"
 CUDA = "5.3.2"
 ChainRulesCore = "1.24"
 Compat = "4.15"
 ComponentArrays = "0.15.16"
 ConcreteStructs = "0.2.3"
 DispatchDoctor = "0.4.12"
-DynamicExpressions = "0.16, 0.17, 0.18, 0.19"
 Enzyme = "0.12.26"
 EnzymeCore = "0.7.7"
 FastClosures = "0.3.2"
@@ -89,9 +85,8 @@ Functors = "0.4.12"
 GPUArraysCore = "0.1.6"
 LinearAlgebra = "1.10"
 LossFunctions = "0.11.1"
-LuxCore = "0.1.24"
-LuxDeviceUtils = "0.1.26"
-LuxLib = "0.3.42"
+LuxCore = "1"
+LuxLib = "1.2"
 MLDataDevices = "1.1"
 MLUtils = "0.4.4"
 MPI = "0.20.19"
@@ -104,7 +99,7 @@ Preferences = "1.4.3"
 Random = "1.10"
 Reexport = "1.2.2"
 ReverseDiff = "1.15"
-SIMDTypes = "0.1.0"
+SIMDTypes = "0.1"
 Setfield = "1.1.1"
 SimpleChains = "0.4.7"
 Static = "1.1.1"
@@ -113,6 +108,6 @@ Statistics = "1.10"
 Tracker = "0.2.34"
 UnrolledUtilities = "0.1.2"
 VectorizationBase = "0.21.70"
-WeightInitializers = "0.1.5, 1"
+WeightInitializers = "1"
 Zygote = "0.6.70"
 julia = "1.10"

README.md

@@ -37,6 +37,9 @@ import Pkg
 Pkg.add("Lux")
 ```
 
+> [!TIP]
+> If you are using a pre-v1 version of Lux.jl, please see the [Updating to v1 section](https://lux.csail.mit.edu/dev/introduction/updating_to_v1/) for instructions on how to update.
+
 ## 🤸 Quickstart
 
 ```julia
@@ -74,7 +77,43 @@ st_opt, ps = Optimisers.update(st_opt, ps, gs)
 
 Look in the [examples](/examples/) directory for self-contained usage examples. The [documentation](https://lux.csail.mit.edu) has examples sorted into proper categories.
 
-## 🧪 Testing
+## 🆘 Getting Help
+
+For usage related questions, please use [Github Discussions](https://github.com/orgs/LuxDL/discussions) which allows questions and answers to be indexed. To report bugs use [github issues](https://github.com/LuxDL/Lux.jl/issues) or even better send in a [pull request](https://github.com/LuxDL/Lux.jl/pulls).
+
+## 🧑‍🔬 Citation
+
+If you found this library to be useful in academic work, then please cite:
+
+```bibtex
+@software{pal2023lux,
+  author    = {Pal, Avik},
+  title     = {{Lux: Explicit Parameterization of Deep Neural Networks in Julia}},
+  month     = apr,
+  year      = 2023,
+  note      = {If you use this software, please cite it as below.},
+  publisher = {Zenodo},
+  version   = {v0.5.0},
+  doi       = {10.5281/zenodo.7808904},
+  url       = {https://doi.org/10.5281/zenodo.7808904}
+}
+
+@thesis{pal2023efficient,
+  title     = {{On Efficient Training \& Inference of Neural Differential Equations}},
+  author    = {Pal, Avik},
+  year      = {2023},
+  school    = {Massachusetts Institute of Technology}
+}
+```
+
+Also consider starring [our github repo](https://github.com/LuxDL/Lux.jl/).
+
+## 🧑‍💻 Contributing
+
+This section is somewhat incomplete. You can contribute by contributing to finishing this
+section 😜.
+
+### 🧪 Testing
 
 The full test of `Lux.jl` takes a long time, here's how to test a portion of the code.
 
@@ -122,36 +161,5 @@ ReTestItems.runtests("tests/"; name = "NAME OF THE TEST")
 For the `SkipConnection` tests that would be:
 
 ```julia
-ReTestItems.runtests("tests/"; name = SkipConnection)
-```
-
-## 🆘 Getting Help
-
-For usage related questions, please use [Github Discussions](https://github.com/orgs/LuxDL/discussions) which allows questions and answers to be indexed. To report bugs use [github issues](https://github.com/LuxDL/Lux.jl/issues) or even better send in a [pull request](https://github.com/LuxDL/Lux.jl/pulls).
-
-## 🧑‍🔬 Citation
-
-If you found this library to be useful in academic work, then please cite:
-
-```bibtex
-@software{pal2023lux,
-  author    = {Pal, Avik},
-  title     = {{Lux: Explicit Parameterization of Deep Neural Networks in Julia}},
-  month     = apr,
-  year      = 2023,
-  note      = {If you use this software, please cite it as below.},
-  publisher = {Zenodo},
-  version   = {v0.5.0},
-  doi       = {10.5281/zenodo.7808904},
-  url       = {https://doi.org/10.5281/zenodo.7808904}
-}
-
-@thesis{pal2023efficient,
-  title     = {{On Efficient Training \& Inference of Neural Differential Equations}},
-  author    = {Pal, Avik},
-  year      = {2023},
-  school    = {Massachusetts Institute of Technology}
-}
+ReTestItems.runtests("tests/"; name = "SkipConnection")
 ```
-
-Also consider starring [our github repo](https://github.com/LuxDL/Lux.jl/).

benchmarks/setup.jl

@@ -1,6 +1,6 @@
 using ADTypes: ADTypes, AutoEnzyme, AutoZygote
 using Adapt: adapt
-using Lux: Lux, BatchNorm, Chain, Conv, CrossCor, Dense, Dropout, FlattenLayer, MaxPool
+using Lux: Lux, BatchNorm, Chain, Conv, Dense, Dropout, FlattenLayer, MaxPool
 using MLDataDevices: AbstractDevice, CPUDevice, CUDADevice, AMDGPUDevice
 using NNlib: relu, gelu
 using Random: Random

benchmarks/setups/models.jl

@@ -25,10 +25,10 @@ function setup_vgg16_benchmarks!(suite::BenchmarkGroup, cpu_or_gpu::String,
             conv_bn((3, 3), 512 => 512, relu; pad=(1, 1), stride=(1, 1)),
             conv_bn((3, 3), 512 => 512, relu; pad=(1, 1), stride=(1, 1)),
             conv_bn((3, 3), 512 => 512, relu; pad=(1, 1), stride=(1, 1)),
-            MaxPool((2, 2)); disable_optimizations=true),
+            MaxPool((2, 2))),
         FlattenLayer(),
         Chain(Dense(512, 4096, relu), Dropout(0.5f0), Dense(4096, 4096, relu),
-            Dropout(0.5f0), Dense(4096, 10); name="Classifier"); disable_optimizations=true)
+            Dropout(0.5f0), Dense(4096, 10); name="Classifier"))
 
     for bsize in (32, 64, 128)
         setup_forward_pass_benchmark!(suite, "vgg16(32, 32, 3, $bsize)",