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@github-actions github-actions released this 19 Jul 07:02
· 1224 commits to master since this release
v0.12.5
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Flux v0.12.5

Diff since v0.12.4

Closed issues:

  • Hessian vector products (#129)
  • Stopping criteria (#227)
  • Flux + Julia ecosystem docs (#251)
  • RNN unbroadcast on GPU not working (#421)
  • Shouldn't gradcheck compares Jacobian? (#462)
  • Transition examples in docs to doctests (#561)
  • Batch-axis thread parallelism (#568)
  • Add tests of ExpDecay (#684)
  • Sudden memory leak when training on GPU over many epochs (#736)
  • performance variance between macOS / Linux ? (#749)
  • onehot ambiguous method (#777)
  • Killed while training the model (#779)
  • type Method has no field sparam_syms, while @save model (#783)
  • Flux#zygote Error in phenomes... Mutating arrays is not supported (#819)
  • Custom serialization pass for intermediate states (#845)
  • OneHotMatrix does not support map (#958)
  • CuArrays + huber_loss iterate(::nothing) error (#1128)
  • Can't get Flux (v0.10.3) working for Custom Loss function (#1153)
  • Custom loss function on subset of parameters fails (#1371)
  • Minimizing sum fails (#1510)
  • gpu behaves differently from cu on a Char array (#1517)
  • Warn different size inputs in loss functions (#1522)
  • Recurrent docs need to be update for v0.12 (#1564)
  • Computation of higher order derivatives for recurrent models results in strange errors (#1593)
  • Why does DataLoader not throw an error when fed with a 1D vector for the target? (#1599)
  • a small error in the documentation... (#1609)
  • Slow unnecessary GPU copy of output of gpu(::OffsetArray) (#1610)
  • "using Flux" makes type inference fail when there is a Ref{} (#1611)
  • @epochs is missing a bracket (#1615)
  • Flux Overview Documentation Out of Date (#1621)
  • missing kernel for Base.unique (#1622)
  • Compilation error on PPC (#1623)
  • _restructure as part of the public API? (#1624)
  • ERROR: setindex! not defined for Zygote.OneElement{...} (#1626)
  • MethodError: Cannot convert an object of type Params to an object of type Float64 (#1629)
  • MethodError: no method matching flatten(::Array{Float32,4}) (#1630)
  • Where are the cpu() and gpu() functions? (#1631)
  • bug in RNN docs (#1638)
  • Bug in the current overview documentation (#1642)
  • How to tell Flux.jl not to use the GPU? (#1644)
  • Missing docs for @functor (#1653)
  • typo in the docs/overview section right at the beginning (#1663)

Merged pull requests:

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