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Releases: FluxML/Flux.jl

v0.14.15

21 Mar 04:41
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Flux v0.14.15

Diff since v0.14.14

Merged pull requests:

Closed issues:

  • Given that DataLoader implements length shouldn't it also be able to provide size? (#2372)
  • Dimensions check for Conv is incomplete, leading to confusing error (#2398)

v0.14.14

18 Mar 20:18
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Flux v0.14.14

Diff since v0.14.13

Merged pull requests:

Closed issues:

  • precompilation issue on Julia 1.10 (#2354)
  • Flux installation error under Julia 1.10 on Apple Silicon (#2366)
  • Compilation time of Flux models (#2391)
  • Flux.setup buggy and broken in latest v.0.13.17 (#2394)
  • 2x performance regression due to 5e80211 (#2399)

v0.14.13

07 Mar 01:09
5f84b68
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Flux v0.14.13

Diff since v0.14.12

Merged pull requests:

Closed issues:

  • Macro to display model struct the way Flux does (#2044)
  • Update GH Actions across all repos (#2170)
  • Flux.jl Documentation (Training API Reference) (#2303)
  • Flux docs missing withgradient() call for multi-objective loss functions (#2325)

v0.14.12

21 Feb 19:46
70edabb
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Flux v0.14.12

Diff since v0.14.11

Merged pull requests:

Closed issues:

  • The dedicated tutorial on DataLoader is missing (#2378)

v0.14.11

31 Jan 01:01
3eed5fa
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Flux v0.14.11

Diff since v0.14.10

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v0.14.10

24 Jan 04:39
c9f923b
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Flux v0.14.10

Diff since v0.14.9

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v0.14.9

08 Jan 21:56
e17b7a5
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Flux v0.14.9

Diff since v0.14.8

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v0.14.8

28 Dec 18:07
df468ba
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Flux v0.14.8

Diff since v0.14.7

Merged pull requests:

Closed issues:

  • 0.2 tutorial at the top of google for "flux mnist" (#2163)
  • Illegal Memory Access Error During Gradient Calculation of predefined losses on GPU RTX 4050 (#2361)
  • Unnecessarily using shared GPU memory (#2364)

v0.14.7

05 Dec 19:22
f4b4761
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Flux v0.14.7

Diff since v0.14.6

Merged pull requests:

Closed issues:

  • Android/iOS support (#2357)

v0.14.6

21 Sep 07:38
be995c7
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Flux v0.14.6

Diff since v0.14.5

Merged pull requests:

Closed issues:

  • move the codebase to 4 spaces indentation (#2298)
  • No cudnn implementation of Conv((1,) N=>M) (#2322)
  • can't use masks in multi-head-attention layer (#2336)
  • Adapt saving & loading example to CuArrays (#2337)
  • Segmentation fault when doing a forward pass with a model saved with BSON (#2339)