Lux: Explicit Parameterization of Deep Neural Networks in Julia

Lux v1.9.0

Diff since v1.8.0

Merged pull requests:

• feat: high-level implementations for Positional Embeddings (#1237) (@avik-pal)
• Update LUX.jl/examples/SimpleRNN/main.jl (#1240) (@aligurbu)
• fix: adapt to upcoming reactant changes (#1246) (@avik-pal)
• chore: bump crate-ci/typos from 1.29.7 to 1.29.9 (#1248) (@dependabot[bot])
• docs: update to new DocumenterVitepress Improvements (#1250) (@avik-pal)
• feat: relax conditions (#1252) (@avik-pal)
• chore: bump crate-ci/typos from 1.29.9 to 1.30.0 (#1253) (@dependabot[bot])
• feat: allow specifying sharding in ReactantDevice (#1254) (@avik-pal)
• refactor: use runic for formatting (#1255) (@avik-pal)
• Add way to silence gpu warning (#1256) (@IanButterworth)
• feat: tracing stateful layers (#1257) (@avik-pal)

Closed issues:

• Relax MLDataDevices.combine_devices for ReactantDevice and CPUDevice (#1244)
• AutoEnzyme() errors on training dense layer (#1249)
• New Reactant Release breaks ConcreteRNG (#1251)