Releases: FluxML/Metalhead.jl
Releases · FluxML/Metalhead.jl
v0.9.5
v0.9.4
v0.9.3
Metalhead v0.9.3
Merged pull requests:
Closed issues:
- Default VGG dropout probability changed to zero (#271)
v0.9.2
v0.9.1
Metalhead v0.9.1
Merged pull requests:
- CompatHelper: add new compat entry for Statistics at version 1, (keep existing compat) (#255) (@github-actions[bot])
- CompatHelper: add new compat entry for LazyArtifacts at version 1, (keep existing compat) (#256) (@github-actions[bot])
- CompatHelper: add new compat entry for Artifacts at version 1, (keep existing compat) (#257) (@github-actions[bot])
- use julia-actions/cache in CI (#260) (@IanButterworth)
- Switch to (Re)TestItems (#262) (@ToucheSir)
- Fix docstring typos (#263) (@christiangnrd)
- Fix bug where MobileNetv2/3 return a MobileNetv1 (#265) (@darsnack)
- Move to Documenter 1.0 (and some miscellaneous fixes) (#266) (@theabhirath)
Closed issues:
- Cannot run EfficientNetv2 on gpu (#261)
v0.9.0
Metalhead v0.9.0
Merged pull requests:
- Make CUDA an optional dependency (#253) (@mohamed82008)
- Update use of
Flux._isactive
in DropBlock to prevent deprecation warning (#254) (@theabhirath)
Closed issues:
v0.8.3
Metalhead v0.8.3
Merged pull requests:
- Adding a more detailed introduction to the
Layers
module (#249) (@theabhirath) - CompatHelper: bump compat for CUDA to 5, (keep existing compat) (#251) (@github-actions[bot])
v0.8.2
Metalhead v0.8.2
Merged pull requests:
- Remove NNlibCUDA dependency to support Flux 0.14 (#248) (@christiangnrd)
v0.8.1
Metalhead v0.8.1
Closed issues:
- No valid algorithm found for EfficientNet and EfficientNetv2 (#245)
Merged pull requests:
v0.8.0
Metalhead v0.8.0
See this blog post on fluxml.ai about what's new in 0.8.
Closed issues:
- Move MHAttention layer to Flux (#141)
- Issues with
ViT
on the GPU (#165) - Cannot load pretrained weights for ResNet on master (#206)
- Support for convolution on N-dimensions (#213)
- Fixing deprecated models (#218)
- all links in the Function column in the readme are broken (#220)
- mismatch with torchvision resnets (#228)
- cannot match attention layer output to pytorch's one (#231)
- change ViT constructor's defaults (#232)
- change loadpretrain! to load the model_state (#234)
- pin the artifacts url to specific commit (#236)
- got unsupported keyword argument "inchannels" (#237)
- Release v0.8 (#240)
Merged pull requests:
- CompatHelper: bump compat for CUDA to 4, (keep existing compat) (#215) (@github-actions[bot])
- Natema/issue218 (#219) (@natema)
- Docs restructuring, part 1 (reland) (#221) (@theabhirath)
- Update buildkite (#222) (@CarloLucibello)
- remove some duplicate include (#223) (@CarloLucibello)
- add pytorch/torchvision porting and comparison script (#225) (@CarloLucibello)
- fix the torchvision porting script (#229) (@CarloLucibello)
- fix ViT model output + rewrite attention layer + adapt torchvision script (#230) (@CarloLucibello)
- automatize huggingface upload + change ViT defaults (#233) (@CarloLucibello)
- hook new weights (#235) (@CarloLucibello)
- set specific commit in Artifacts.toml (#239) (@CarloLucibello)
- Docs rehaul for v0.8 (#242) (@theabhirath)