v0.13.4
github-actions
released this
05 Jul 15:33
·
497 commits
to master
since this release
Flux v0.13.4
Closed issues:
- Repository: on the addition of loss/distance functions and other niceties to Flux (#826)
trainable
for BatchNorm stops parameters from being saved and loaded (#1027)- Non-descriptive arg in
Conv
: whyfilter
intead ofsize
? (#1212) - Ada or ADA (#1949)
- Make
gpu(::DataLoader)
work or error loudly if it doesn't (#1974) - Conversion error when loading a model with v0.13+ with BSON (#1984)
- GPU broadcasting error when using softmax on GPU (#1994)
- Error when using CUDA (#1997)
- type cannot been referred with structured model function (#2000)
- [Broken Documentation] Dense(1 => 1) (#2001)
Merged pull requests:
- Fix slight typos in
LayerNorm
docs (#1975) (@theabhirath) - Piratical errors for two mistakes (#1976) (@mcabbott)
- Show
using Flux
before BSON@load
(#1977) (@JeffFessler) - Update docstrings of
basic.jl
andconv.jl
(#1978) (@Saransh-cpp) - Added Common GPU Workflows in Docs (#1980) (@lfenzo)
PairwiseFusion
layer, take 2 (#1983) (@theabhirath)- deprecations.jl: depwarn -> Base.depwarn (#1985) (@skleinbo)
- Update docstrings in
upsample.jl
,recurrent.jl
, andnormalise.jl
(#1995) (@Saransh-cpp) - replace ADAM with Adam and its variants thereof (#1996) (@Karthik-d-k)
- Make
Dropout
docs a little more user friendly (#2014) (@theabhirath)