Flux v0.14.16
Merged pull requests:
- Make sure first example in Custom Layers docs uses type parameter (#2415) (@BioTurboNick)
- Add GPU GC comment to Performance Tips (#2416) (@BioTurboNick)
- Fix some typos in docs (#2418) (@JoshuaLampert)
- fix component arrays test (#2419) (@CarloLucibello)
- Bump julia-actions/setup-julia from 1 to 2 (#2420) (@dependabot[bot])
- documentation update (#2422) (@CarloLucibello)
- remove
public dropout(#2423) (@mcabbott) - Allow BatchNorm on CUDA with track_stats=False (#2427) (@paulnovo)
- Bump actions/checkout from 4.1.2 to 4.1.3 (#2428) (@dependabot[bot])
- Add working downloads badge (#2429) (@pricklypointer)
- Bump actions/checkout from 4.1.3 to 4.1.4 (#2430) (@dependabot[bot])
- Add tip for non-CUDA users (#2434) (@micahscopes)
- Add hint for choosing a different GPU backend (#2435) (@micahscopes)
- Patch
Flux._isleaffor abstract arrays with bitstype elements (#2436) (@jondeuce) - Bump julia-actions/cache from 1 to 2 (#2437) (@dependabot[bot])
- Bump actions/checkout from 4.1.4 to 4.1.5 (#2438) (@dependabot[bot])
- Enzyme: bump version and mark models as working [test] (#2439) (@wsmoses)
- Enable remaining enzyme test (#2442) (@wsmoses)
- Bump AMDGPU to 0.9 (#2449) (@pxl-th)
- Do not install all GPU backends at once (#2453) (@pxl-th)
- CompatHelper: add new compat entry for BSON at version 0.3, (keep existing compat) (#2457) (@github-actions[bot])
- remove BSON dependence (#2458) (@CarloLucibello)
Closed issues:
- How to have a stable GPU memory while being performant? (#780)
- Why is Flux.destructure type unstable? (#2405)
- tests are failing due to ComponentArrays (#2411)
- Significant time spent moving medium-size arrays to GPU, type instability (#2414)
- Dense layers with shared parameters (#2432)
- why is my
withgradienttype unstable ? (#2456)