v0.9.0 (2019-08-29)
Closed issues:
- CuArrays.CUDNN.libcudnn not defined (#846)
- Flux.onecold gives incorrect result with CuArrays. (#839)
- Forward differentiation causes stackoverflow (#831)
- Layer initialization with predefined weights (#830)
- RNN behavior under different input shapes (#811)
- prefor does not update seen (#803)
- Flux is not training model (#798)
- How to Detrack the variables (#792)
- Optimisers not work for real number (#790)
- apply! in NADAM not correct (#789)
- How to onehot encode a vector (#788)
- ERROR: UndefVarError: Conv2D not defined (#786)
- Difference between params() and Params() (#781)
- Slowdown with Conv on CPU in newer versions of Flux+NNlib: forward pass doesn't use all available threads anymore (#771)
- CUDNN BatchNorm with relu doesn't apply relu (when using CuArrays) (#760)
- back! calculates gradient incorrectly for two layer perceptron with relu (#744)
- Split out Tracker and create a Zygote branch (#664)
- ForwardDiff derivative on chain gives stackoverflow (#645)
- Calling a gpu model with a cpu array crashes julia (#581)
Merged pull requests:
- RFC: Replace Requires with direct CuArrays dependency. (#852) (maleadt)
- Fix CuArrays.libcudnn imports (#847) (janEbert)
- Use
CuArrays.ones
insteadcuones
which is deprecated (#837) (mimame) - Fix cuzeros deprecation (#835) (Moelf)
- Momentum doesn't need params (#827) (ChrisRackauckas)
- Fix for #803 (#805) (DrChainsaw)
- Fix lack of x (#801) (quatrejuin)
- Pick beta from the state - NADAM (#796) (dhairyagandhi96)
- Two minor typos in docs (#793) (amellnik)
- typo of comvolutional in NEWS.md (#774) (zsz00)
- delete redundant section (#772) (johnnychen94)
- Some cleanup on performance tips docs (#767) (oxinabox)
- CrossCor layer (#762) (ayush-1506)
- Fixes #760 (#761) (avik-pal)
- bump version to v0.8.3 (#759) (dhairyagandhi96)
- Change
DepthwiseConv\(\)
to usein=\>out
instead ofin=\>mult
. (#756) (staticfloat) - Fixed ExpDecay (#733) (thebhatman)
- add broken test for #700 (#701) (jw3126)
- Fixes OneHotMatrix/Vector GPU Performance (#612) (dhairyagandhi96)
- noise shape for dropout (#563) (chengchingwen)
- Added the SkipConnection layer and constructor (#446) (bhvieira)