MLDataDevices-v1.6.3

MLDataDevices MLDataDevices-v1.6.3

Diff since MLDataDevices-v1.6.2

Merged pull requests:

• test: try re-enabling enzyme testing on 0.13.16 (#1042) (@avik-pal)
• chore: bump codecov/codecov-action from 4 to 5 (#1093) (@dependabot[bot])
• ci: install specific AMDGPU version (#1096) (@avik-pal)
• ci: use sources for docs (#1100) (@avik-pal)
• Add Reactant and TPU to autodiff.md (#1101) (@wsmoses)
• refactor: cleanup some old pre-1.0 hacks (#1102) (@avik-pal)
• feat: add bf16 function (#1104) (@avik-pal)
• docs: add CUDA.CURAND.default_rng() to docs (#1105) (@avik-pal)
• fix: use generic broadcasting for complex numbers (#1106) (@avik-pal)
• Update exporting_to_jax.md (#1107) (@wsmoses)
• CompatHelper: bump compat for LossFunctions in [weakdeps] to 1, (keep existing compat) (#1108) (@github-actions[bot])
• Add TrainState docstring with Optimisers API (#1110) (@abhro)
• Fix markdown list in docstring (#1111) (@abhro)
• chore: bump crate-ci/typos from 1.27.3 to 1.28.1 (#1113) (@dependabot[bot])
• fix: handle debug leafs with dispatch (#1115) (@avik-pal)
• test: allow the latest AMDGPU to be installed (#1116) (@avik-pal)
• test: add unsafe_free to skip list (#1117) (@avik-pal)
• fix: use the correct dispatches for device overloads (#1118) (@avik-pal)
• test: try fixing enzyme test (#1119) (@avik-pal)
• ci(github-actions): use julia-actions/cache (#1122) (@avik-pal)

Closed issues:

• Zygote + ForwardDiff support for complex differentiation (#977)
• Add CUDA.CURAND.default_rng() to the table (#1003)
• getkeypath and layer_map not fully working with model with Parallel layers (#1068)
• [AMDGPU CI] Circular dependencies disabling precompilation (#1095)
• LuxTestUtils.Constant clashes with DifferentiationInterface.Constant (#1103)
• Error in trying to use Optimization.jl for LSTM training based on Lux.jl (#1114)