Lux: Explicit Parameterization of Deep Neural Networks in Julia

LuxCore LuxCore-v1.2.2

Diff since LuxCore-v1.2.1

Merged pull requests:

• feat: update ConvMixer to support reactant (#1063) (@avik-pal)
• test: re-enable flux testing (#1123) (@avik-pal)
• chore: bump minimum Reactant version (#1125) (@avik-pal)
• fix: try fixing cuda install in tests (#1126) (@avik-pal)
• docs: run partial dataset only on CI (#1128) (@avik-pal)
• chore: bump crate-ci/typos from 1.28.1 to 1.28.2 (#1130) (@dependabot[bot])
• fix: preserve object when device is same (#1133) (@avik-pal)
• fix: use functors for testing wrapped arrays (#1134) (@avik-pal)
• fix: remove old patches around reactant bug (#1135) (@avik-pal)
• CompatHelper: bump compat for Flux in [weakdeps] to 0.16, (keep existing compat) (#1136) (@github-actions[bot])
• chore: bump crate-ci/typos from 1.28.2 to 1.28.3 (#1137) (@dependabot[bot])
• fix: update to new reactant changes (#1140) (@avik-pal)
• chore: bump crate-ci/typos from 1.28.3 to 1.28.4 (#1144) (@dependabot[bot])
• don't declare implicitly exported functions public (#1147) (@simeonschaub)
• use return_type instead of _return_type (#1148) (@simeonschaub)
• feat: more nested AD rules (#1151) (@avik-pal)
• fix: update default rng for reactant (#1152) (@avik-pal)
• Change update step to thousands in PINN 2D PDE (#1153) (@abhro)
• CompatHelper: add new compat entry for ProgressTables at version 0.1 for package CIFAR10, (keep existing compat) (#1154) (@github-actions[bot])
• device(NN) should only give warning once (#1156) (@vpuri3)
• feat: conditional VAE (#1157) (@avik-pal)
• fix: ConditionalVAE on CI (#1159) (@avik-pal)
• CompatHelper: add new compat entry for Optimisers at version 0.4 for package ConditionalVAE, (keep existing compat) (#1161) (@github-actions[bot])
• CompatHelper: add new compat entry for StableRNGs at version 1 for package ConditionalVAE, (keep existing compat) (#1162) (@github-actions[bot])
• CompatHelper: add new compat entry for Comonicon at version 1 for package ConditionalVAE, (keep existing compat) (#1163) (@github-actions[bot])
• [MLDataDevices] Bump deps (#1164) (@pxl-th)
• docs: migrate most examples to Reactant (#1180) (@avik-pal)
• chore: bump crate-ci/typos from 1.28.4 to 1.29.4 (#1183) (@dependabot[bot])
• fix: pass in RNG to shuffle (#1188) (@avik-pal)

Closed issues:

• Immutable Arrays (#8)
• Downstream Compat Updates (#880)
• Re-enable Flux compatibility testing (#1070)
• Documentation Build Stalls (#1120)
• CUDA Test CI is broken (#1121)
• [MLDataDevices] devices don't preserve identity (#1129)
• Random Numbers & Reactant (#1131)
• Problem with Lux & SymbolicsLuxExt (#1132)
• How to implement a detach operation similar to Pytorch? (#1138)
• Unexpected handling of LR Schedulers in TrainState (#1143)
• Directly construct Optimiser state on Reactant buffers (#1145)
• (AbstractDevice)(x) should respect Adapt.adapt_structure (#1149)
• CUDA 2nd order AD with MaxPool and logsoftmax (#1150)
• Recurrent cells cannot be chained with other layers (#1155)
• sparse_init doesn't use provided rng fully (#1185)
• Incorrect IR generated for some neural networks (#1186)
• WeightInitializers.DeviceAgnostic doesn't respect Reactant (#1187)