Lux: Explicit Parameterization of Deep Neural Networks in Julia

LuxLib LuxLib-v1.10.1

Diff since LuxLib-v1.10.0

Merged pull requests:

• feat: AutoMooncake for training lux models (#1388) (@avik-pal)
• CompatHelper: add new compat entry for Mooncake at version 0.4 for package test, (keep existing compat) (#1389) (@github-actions[bot])
• docs: cleanup CIFAR 10 example dependencies (#1391) (@avik-pal)
• CompatHelper: bump compat for AMDGPU in [weakdeps] to 2 for package LuxLib, (keep existing compat) (#1394) (@github-actions[bot])
• CompatHelper: bump compat for AMDGPU in [weakdeps] to 2 for package MLDataDevices, (keep existing compat) (#1395) (@github-actions[bot])
• CompatHelper: bump compat for AMDGPU in [weakdeps] to 2 for package WeightInitializers, (keep existing compat) (#1396) (@github-actions[bot])
• De-fragment markdown list in distributed_utils.md (#1397) (@abhro)
• Precompile environment before running tutorials (#1398) (@abhro)
• Add meaning of tuple elements in docs/tutorials.jl (#1399) (@abhro)

Closed issues:

• Add a AutoMooncake dispatch for training Lux models (#1238)
• MLIR Operand #1 doesn't dominate usage: Reactant + Cifar10 Example (#1386)