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compat, pkg up #946

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merged 8 commits into from
Nov 29, 2019
Merged

compat, pkg up #946

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4481c74
v0.10 changes
Nov 28, 2019
1ae554d
rm new line
Nov 28, 2019
c17dc34
phew
DhairyaLGandhi Nov 28, 2019
b65b491
compat, pkg up
MikeInnes Nov 28, 2019
73d572b
rm RADAM
Nov 28, 2019
8519833
Merge branch 'dg/news' of https://github.com/FluxML/Flux.jl into dg/news
Nov 28, 2019
4b63e69
bump version to v0.10
Nov 28, 2019
0c99f7f
Merge branch 'dg/news' into pkg-up
MikeInnes Nov 29, 2019
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14 changes: 6 additions & 8 deletions Manifest.toml
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Original file line number Diff line number Diff line change
@@ -1,5 +1,3 @@
# This file is machine-generated - editing it directly is not advised

[[AbstractFFTs]]
deps = ["LinearAlgebra"]
git-tree-sha1 = "380e36c66edfa099cd90116b24c1ce8cafccac40"
Expand Down Expand Up @@ -132,7 +130,7 @@ uuid = "b552c78f-8df3-52c6-915a-8e097449b14b"
version = "0.1.0"

[[Distributed]]
deps = ["Random", "Serialization", "Sockets"]
deps = ["LinearAlgebra", "Random", "Serialization", "Sockets"]
uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"

[[FFTW]]
Expand All @@ -154,9 +152,9 @@ version = "0.6.1"

[[ForwardDiff]]
deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "NaNMath", "Random", "SpecialFunctions", "StaticArrays"]
git-tree-sha1 = "4407e7b76999eca2646abdb68203bd4302476168"
git-tree-sha1 = "da46ac97b17793eba44ff366dc6cb70f1238a738"
uuid = "f6369f11-7733-5829-9624-2563aa707210"
version = "0.10.6"
version = "0.10.7"

[[GPUArrays]]
deps = ["AbstractFFTs", "Adapt", "LinearAlgebra", "Printf", "Random", "Serialization"]
Expand All @@ -171,7 +169,7 @@ uuid = "7869d1d1-7146-5819-86e3-90919afe41df"
version = "0.3.0"

[[InteractiveUtils]]
deps = ["Markdown"]
deps = ["LinearAlgebra", "Markdown"]
uuid = "b77e0a4c-d291-57a0-90e8-8db25a27a240"

[[JSON]]
Expand Down Expand Up @@ -254,7 +252,7 @@ uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
version = "0.3.10"

[[Pkg]]
deps = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"]
deps = ["Dates", "LibGit2", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"]
uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"

[[Printf]]
Expand Down Expand Up @@ -353,7 +351,7 @@ uuid = "30578b45-9adc-5946-b283-645ec420af67"
version = "0.4.0"

[[UUIDs]]
deps = ["Random", "SHA"]
deps = ["Random"]
uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

[[Unicode]]
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13 changes: 13 additions & 0 deletions NEWS.md
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@@ -1,3 +1,16 @@
# v0.10.0
* The default AD engine has switched from [Tracker to Zygote.jl](https://github.com/FluxML/Flux.jl/pull/669)
- The dependency on Tracker.jl has been removed.
- This means Flux now does not depend on using a specialised `TrackedArray` type, and can be used with normal Array implementations directly.
- Tracker compatibility is maintained in most common cases, but Zygote will be the preferred AD backend for Flux from now on.
* The CUDNN wrappers have been [moved from Flux into CuArrays](https://github.com/FluxML/Flux.jl/pull/874), to allow for better supporting the CUDA backend, and improve user experience, not to mention making Flux lean.
* `*crossentropy` functions now [work as expected with CuArrays](https://github.com/FluxML/Flux.jl/pull/926). [PR for binarycrossentropy](https://github.com/FluxML/Flux.jl/pull/940).
* Added [clearer docs](https://github.com/FluxML/Flux.jl/pull/904) around training and the Optimiser interface.
* [Layer initialisations](https://github.com/FluxML/Flux.jl/pull/937) have been improved with a clearer API on how to extend it for other purposes.
* [Better messaging around CUDA availability](https://github.com/FluxML/Flux.jl/pull/924), with hooks to initialize the GPU as default where possible.
* `@treelike` has been formalised as a [functor](https://github.com/FluxML/Flux.jl/pull/865), with an effective deprecation.
* `testmode!` is deprecated in favour of [istraining](https://github.com/FluxML/Flux.jl/pull/669)

# v0.9.0
* [Depthwise convolutional layer API changes](https://github.com/FluxML/Flux.jl/pull/756) from `in => mult` channel specification to `in => out` channel specification, and deprecates implicit `out` constructor.
* New [SkipConnection](https://github.com/FluxML/Flux.jl/pull/446), which can be used to train residual neural network architectures.
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11 changes: 10 additions & 1 deletion Project.toml
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@@ -1,6 +1,6 @@
name = "Flux"
uuid = "587475ba-b771-5e3f-ad9e-33799f191a9c"
version = "0.9.0"
version = "0.10.0"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
Expand All @@ -24,8 +24,17 @@ ZipFile = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
AbstractTrees = "0.2"
Adapt = "1"
CodecZlib = "0.5, 0.6"
Colors = "0.8, 0.9"
CuArrays = "1.4.3"
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Shouldn't CuArrays be bumped too?

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Given how rare the RNN issue is, I think we should just let the resolver install 1.4.3 if it really needs to, rather than erroring out. Of course in most cases it should just install the most recent version anyway.

Juno = "0.5, 0.6, 0.7"
MacroTools = "0.3, 0.4, 0.5"
NNlib = "0.6"
Reexport = "0.2"
StatsBase = "0"
ZipFile = "0.7, 0.8"
Zygote = "0.4"
julia = "1"

Expand Down