v1.5.0

Lux v1.5.0

Diff since v1.4.4

Merged pull requests:

• 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)
• feat: allow no grad option for reactant (#1190) (@avik-pal)

Closed issues:

• Recurrent cells cannot be chained with other layers (#1155)
• No Grad option for TrainState single_train_step(!) (#1181)
• sparse_init doesn't use provided rng fully (#1185)
• Incorrect IR generated for some neural networks (#1186)
• WeightInitializers.DeviceAgnostic doesn't respect Reactant (#1187)
• Export utilities in partial.jl (#1189)