github FluxML/Flux.jl v0.9.0

latest releases: v0.16.5, v0.16.4, v0.16.3...
6 years ago

v0.9.0 (2019-08-29)

Diff since v0.8.3

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:

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