Releases: JuliaSmoothOptimizers/KnetNLPModels.jl
Releases · JuliaSmoothOptimizers/KnetNLPModels.jl
v0.2.3
KnetNLPModels v0.2.3
Closed issues:
- Fix deprecation warning (#30)
Merged pull requests:
- Fix deprecated warnings (#72) (@paraynaud)
- Fix GPU's
gradient!
(#74) (@paraynaud) - v0.2.3 (#76) (@paraynaud)
v0.2.2
KnetNLPModels v0.2.2
Closed issues:
Merged pull requests:
- Add discussion (#53) (@paraynaud)
- Add [extras] + [targets] (#55) (@paraynaud)
- Fix citation (#56) (@paraynaud)
- Created a minibatch iterator selection function (#57) (@farhadrclass)
- Bump to NLPModels 0.20 (#61) (@tmigot)
- Online edits (#63) (@farhadrclass)
- Remove KnetNLPModels.Chain (#64) (@paraynaud)
- Update paper.md (#65) (@farhadrclass)
- dpo pass (#66) (@dpo)
- Update paper.md (#68) (@farhadrclass)
- Move KnetNLPModel example from JOSS (#69) (@paraynaud)
- Update paper.md (#70) (@farhadrclass)
- Release JOSS paper (#71) (@paraynaud)
v0.2.1
KnetNLPModels v0.2.1
Closed issues:
- Issue with docstring of accuracy function (#33)
Merged pull requests:
- Change
minibatch_
field names (#34) (@paraynaud) - Update accuracy doc (#36) (@dpo)
- Executable tutorial (#38) (@paraynaud)
- Delete .cirrus.yml (#39) (@dpo)
- Update README.md (#40) (@dpo)
- use push_preview = true in docs deploy (#41) (@dpo)
- Bug on minibatch dimension fixed (#43) (@nathanemac)
- DOI badge (#48) (@dpo)
- Update CITATION.bib (#49) (@dpo)
- Bump to NLPModels 0.19 (#50) (@tmigot)
- Update Project.toml (#51) (@paraynaud)
Release to obtain DOI only
v0.2.0b fix bug on minibatch dimension
v0.2.0
KnetNLPModels v0.2.0
Closed issues:
- Register KnetNLPModels.jl (#23)
Merged pull requests:
- v0.2.0 (#32) (@paraynaud)
v0.1.0
KnetNLPModels v0.1.0
Closed issues:
- Remove travis.yml (#2)
- Need dep versions in Project.toml (#3)
- Add description to README (#4)
- Write tutorial (#5)
- Remove src/todo.md (#6)
- Rename as KnetNLPModels? (#7)
Merged pull requests:
- commit begore push to atlas (#8) (@paraynaud)
- modif tutorial, ajout autour des variables (#9) (@paraynaud)
- change of the minibatch's management (#12) (@paraynaud)
- first pass on the module (#14) (@paraynaud)
- fix paraynaud/KnetNLPModels.jl to JuliaSmoothOptimizers/KnetLNPModels… (#20) (@paraynaud)
- v0.1.0 Project.toml (#22) (@paraynaud)
- change uuid in Project.toml (#24) (@paraynaud)
- Fix auto registration dependencies (#25) (@paraynaud)