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Releases: LuxDL/Lux.jl

v1.2.2

07 Nov 02:31
40a0797
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Lux v1.2.2

Diff since v1.2.1

Merged pull requests:

Closed issues:

  • Getting NaNs in the pullback of ReverseSequence (#1043)

v1.2.1

05 Nov 14:57
bf1f12b
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Lux v1.2.1

Diff since v1.2.0

Merged pull requests:

Closed issues:

  • Question on intialization after breaking changes (#988)
  • Documentation: Using MLFlow with Lux.jl (#990)
  • Documentation of Layer Freezing might need small update (#991)

v1.2.0

22 Oct 22:24
1a0c48a
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Lux v1.2.0

Diff since v1.1.0

Merged pull requests:

  • fix: update Optimization compats (#952) (@avik-pal)
  • docs: update README example (#956) (@avik-pal)
  • fix: patch optimization tutorial (#959) (@avik-pal)
  • Added to Nested AD example how to use batched_jacobian (#964) (@facusapienza21)
  • Remove line about "not saving the model" (#965) (@asinghvi17)
  • fix: optimization integration for gravitational waveform (#966) (@avik-pal)
  • docs: add compilation example using Reactant (#967) (@avik-pal)
  • docs: add the new xla_device (#968) (@avik-pal)
  • feat: compile training loop automatically using reactant (#969) (@avik-pal)
  • chore(deps): bump crate-ci/typos from 1.24.6 to 1.25.0 (#971) (@dependabot[bot])
  • ci: run tests only on 1.10 for now (#975) (@avik-pal)
  • refactor: make LossFunctions an optional dep (#976) (@avik-pal)
  • chore(deps): bump crate-ci/typos from 1.25.0 to 1.26.0 (#978) (@dependabot[bot])
  • CompatHelper: bump compat for GPUArraysCore to 0.2, (keep existing compat) (#984) (@github-actions[bot])
  • CompatHelper: bump compat for GPUArraysCore to 0.2 for package docs, (keep existing compat) (#985) (@github-actions[bot])
  • fix: LV/Octavian moved to optional deps (#986) (@avik-pal)

Closed issues:

  • Docs build is broken (#957)
  • Encoder-Decoder RNNs (#961)
  • Efficient way to compute Jacobian in nested AD (#963)
  • The returned values loss and train_state of single_train_step! are not compatible (#979)
  • Segfault for simple Zygote pullback (#980)

v1.1.0

23 Sep 12:05
0af6fd2
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Lux v1.1.0

Diff since v1.0.5

Merged pull requests:

Closed issues:

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

v1.0.5

19 Sep 00:00
1b7c9a9
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Lux v1.0.5

Diff since v1.0.4

Merged pull requests:

Closed issues:

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

v1.0.4

18 Sep 00:40
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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

13 Sep 21:52
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Lux v1.0.3

Diff since v1.0.2

Closed issues:

  • MethodError: no method matching applychain (#884)

v1.0.2

12 Sep 20:38
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Lux v1.0.2

Diff since v1.0.1

Closed issues:

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

v1.0.1

09 Sep 18:30
043bae1
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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

07 Sep 14:03
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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)