FluxML/Flux.jl v0.13.1

on GitHub

Flux v0.13.1

Diff since v0.13.0

Closed issues:

• Batchnorm on GPU for Float64 values (#1897)
• Tag? (#1924)
• DataLoader causes scalar indexing on GPU in Flux v0.13.0 (regression) (#1935)
• Flux.flip with broadcasting warning (#1936)
• Add a workflow to clean-up gh-pages branch? (#1940)
• DimensionMismatch: All data containers must have the same number of observations. (#1941)
• Type instability in Recur for 3 dimensional arrays (#1947)
• What is the idiomatic way to get training loss from gradient()? (#1950)
• Dropout erroring on latest CUDA (#1960)
• AdaBelief issues (#1962)

Merged pull requests:

• Add a ton of doctests + fix outdated documentation in .md files (#1916) (@Saransh-cpp)
• Get the DocBot up again! (#1937) (@Saransh-cpp)
• Broadcasting replaced with comprehension in the Flux.flip function. (#1938) (@fpartl)
• Fix type instabilities in apply!(optimizer, ...) (#1942) (@ancapdev)
• Add a workflow to delete PR previews (#1943) (@Saransh-cpp)
• Fix for progress logging to non-VS Code loggers (#1944) (@darsnack)
• Add Base.firstindex(c::Chain) = 1 (#1945) (@KronosTheLate)
• Recur type stability for 3d arrays (#1948) (@Marcovela)
• Resolve two warnings in the test suite (#1951) (@mcognetta)
• Update documentation on Split layer (#1953) (@JLDC)
• [docs] suggest using ADAM with LR=1 when combined with ExpDecay (#1955) (@ericphanson)
• Type stable conv_reshape_bias and AD-friendly ConvDims helpers (#1956) (@ToucheSir)
• onehotbatch with CuArray (#1959) (@CarloLucibello)
• AdaBelief bias correction (#1963) (@cossio)