v1.1.0

Lux v1.1.0

Diff since v1.0.5

Merged pull requests:

• docs: try using the new documenter vitepress (#943) (@avik-pal)
• docs: collapse docstrings by default (#949) (@avik-pal)
• feat: update minimum version of Enzyme (#950) (@avik-pal)
• docs: fix version picker path (#951) (@avik-pal)
• fix: update GravitationalWaveform tutorial (#953) (@avik-pal)
• chore(deps): bump crate-ci/typos from 1.24.5 to 1.24.6 (#955) (@dependabot[bot])

Closed issues:

• Is AbstractLuxContainerLayer abandoned in Lux 1.0.4? (#942)

v1.0.5

Lux v1.0.5

Diff since v1.0.4

Merged pull requests:

• fix: update to use test_gradients macro (#932) (@avik-pal)
• test: froggie tests are broken on gpu (#933) (@avik-pal)
• fix: static vector input to dense (#936) (@avik-pal)
• ci(buildkite): debugging CUDA segfaults on CI (#937) (@avik-pal)

Closed issues:

• Problem with Enzyme AD and SArray parameters (#935)

v1.0.4

Lux v1.0.4

Diff since v1.0.3

Merged pull requests:

• docs: add a PINN tutorial with nested AD (#894) (@avik-pal)
• docs: add an Optimization.jl tutorial showcasing lazy data movement (#897) (@avik-pal)
• CompatHelper: add new compat entry for Literate at version 2 for package PINN2DPDE, (keep existing compat) (#899) (@github-actions[bot])
• feat: update imagenet training script (#909) (@avik-pal)

Closed issues:

• Update the ImageNet example (#878)

v1.0.3

Lux v1.0.3

Diff since v1.0.2

Closed issues:

• MethodError: no method matching applychain (#884)

v1.0.2

Lux v1.0.2

Diff since v1.0.1

Closed issues:

• Question: how can one use TrainState.cache? (#892)

v1.0.1

Lux v1.0.1

Diff since v1.0.0

Merged pull requests:

• CompatHelper: add new compat entry for StableRNGs at version 1 for package docs, (keep existing compat) (#881) (@github-actions[bot])
• CompatHelper: bump compat for JLD2 to 0.5 for package DDIM, (keep existing compat) (#885) (@github-actions[bot])
• CompatHelper: bump compat for JLD2 to 0.5 for package ImageNet, (keep existing compat) (#886) (@github-actions[bot])
• CompatHelper: bump compat for JLD2 to 0.5 for package SimpleRNN, (keep existing compat) (#887) (@github-actions[bot])
• chore(deps): bump peter-evans/create-pull-request from 6 to 7 (#888) (@dependabot[bot])
• chore(deps): bump crate-ci/typos from 1.24.3 to 1.24.5 (#889) (@dependabot[bot])
• Fixed updating_to_v1 link in README.md (#890) (@MartinuzziFrancesco)
• fix: pretty printing of MaxPool Layer (#891) (@avik-pal)

v1.0.0

Lux v1.0.0

Diff since v0.5.68

Merged pull requests:

• Aggregate changes for v1 (#744) (@avik-pal)
• CompatHelper: bump compat for DataAugmentation to 0.3 for package ConvMixer, (keep existing compat) (#876) (@github-actions[bot])
• CompatHelper: bump compat for DataAugmentation to 0.3 for package DDIM, (keep existing compat) (#877) (@github-actions[bot])
• ci(buildkite): run some of the tutorials on CPU runners (#879) (@avik-pal)

Closed issues:

• Frozen Weights (#183)
• Remove Auto-Flattening of Chains (#682)
• Roadmap to v1 (#735)
• Drop Tracker.jl support for SimpleChains (#753)
• Missing statistics tracking in normalization layers (#780)
• Change defaults for Layers to match Pytorch (#808)
• Move uncommon layers to Boltz.jl (#854)

v0.5.68

Lux v0.5.68

Diff since v0.5.67

Merged pull requests:

• CompatHelper: bump compat for Turing to 0.34 for package BayesianNN, (keep existing compat) (#870) (@github-actions[bot])
• chore(deps): bump crate-ci/typos from 1.24.1 to 1.24.3 (#871) (@dependabot[bot])
• test: don't run doctests on pre-releases (#873) (@avik-pal)
• test: run with DD error mode (#874) (@avik-pal)
• refactor: static fields in layers (#875) (@avik-pal)

Closed issues:

• Test with DispatchDoctor error mode (#797)

v0.5.67

Lux v0.5.67

Diff since v0.5.66

Merged pull requests:

• docs: more details in performance pitfalls (#859) (@avik-pal)
• fix: remove hacky usage of module getproperty rrules (#865) (@avik-pal)
• feat: expand trainmode,testmode,update_state to support Stateful Layers (#866) (@avik-pal)

Closed issues:

• unexpected parameter type for AbstractExplicitContainer with single trainable field (#795)

v0.5.66

Lux v0.5.66

Diff since v0.5.65

Merged pull requests:

• feat: NilArray for fast size propagation (#811) (@avik-pal)
• ci: setup benchmarking CI (#821) (@avik-pal)
• chore: bump minimum LuxTestUtils version (#850) (@avik-pal)
• docs: minor documentation changes (#855) (@avik-pal)
• chore: marking layers as deprecated (#856) (@avik-pal)
• chore(deps): bump crate-ci/typos from 1.23.6 to 1.24.1 (#857) (@dependabot[bot])

Closed issues:

• Continuous Benchmarking (#573)
• Lux.testmode not updating state for BatchNorm layers for nested models? (#849)
• Add Float128 support (#851)
• Add multiple cpu cores and multiple Julia computers support (#852)
• Enzyme.Forward hits Octavian dispatch in Dense (#853)