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Merge pull request #1 from JuliaDiff/ox/abstractonly
Cut down to bare minimum for AbstractChainRules
2 parents 91c5d92 + 762a5e5 commit 3a95baa

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-1611
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‎.travis.yml

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julia:
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- 1.0
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- 1.1
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- 1.2
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- nightly
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matrix:
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allow_failures:
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# uncomment the following lines to override the default test script
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#script:
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# - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
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# - julia -e 'Pkg.clone(pwd()); Pkg.build("ChainRules"); Pkg.test("ChainRules"; coverage=true)'
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# - julia -e 'Pkg.clone(pwd()); Pkg.build("AbstractChainRules"); Pkg.test("AbstractChainRules"; coverage=true)'
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after_success:
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# push coverage results to Coveralls
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- julia -e 'using Pkg; Pkg.add("Coverage"); using Coverage; Coveralls.submit(Coveralls.process_folder())'

‎LICENSE.md

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The ChainRules.jl package is licensed under the MIT "Expat" License:
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The AbstractChainRules.jl package is licensed under the MIT "Expat" License:
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> Copyright (c) 2018: Jarrett Revels.
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>

‎Project.toml

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name = "ChainRules"
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uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2"
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version = "0.0.1"
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name = "AbstractChainRules"
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uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
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version = "0.1.0"
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[deps]
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Cassette = "7057c7e9-c182-5462-911a-8362d720325c"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
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SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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[compat]
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Cassette = "^0.2"
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FDM = "^0.6"
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julia = "^1.0"
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[extras]
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FDM = "e25cca7e-83ef-51fa-be6c-dfe2a3123128"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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[targets]
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test = ["FDM", "Random", "Test"]
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test = ["Test", "LinearAlgebra"]

‎README.md

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# ChainRules
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# AbstractChainRules
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[![Travis](https://travis-ci.org/JuliaDiff/ChainRules.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/ChainRules.jl)
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[![Coveralls](https://coveralls.io/repos/github/JuliaDiff/ChainRules.jl/badge.svg?branch=master)](https://coveralls.io/github/JuliaDiff/ChainRules.jl?branch=master)
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[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://JuliaDiff.github.io/ChainRules.jl/latest)
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[![Travis](https://travis-ci.org/JuliaDiff/AbstractChainRules.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/AbstractChainRules.jl)
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[![Coveralls](https://coveralls.io/repos/github/JuliaDiff/AbstractChainRules.jl/badge.svg?branch=master)](https://coveralls.io/github/JuliaDiff/AbstractChainRules.jl?branch=master)
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[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://JuliaDiff.github.io/AbstractChainRules.jl/latest)
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The ChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.
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The AbstractChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.
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This package is a WIP; the framework is essentially there, but there are a bunch of TODOs, virtually no tests, etc. PRs welcome! Documentation is incoming, which should help if you'd like to contribute.
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- Control-inverted design: rule authors can fully specify derivatives in a concise manner while naturally allowing the caller to compute only what they need.
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The ChainRules source code follows the [YASGuide](https://github.com/jrevels/YASGuide).
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The AbstractChainRules source code follows the [YASGuide](https://github.com/jrevels/YASGuide).

‎REQUIRE

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‎docs/make.jl

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using ChainRules
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using AbstractChainRules
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using Documenter
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makedocs(modules=[ChainRules],
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sitename="ChainRules",
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makedocs(modules=[AbstractChainRules],
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sitename="AbstractChainRules",
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authors="Jarrett Revels and other contributors",
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pages=["Introduction" => "index.md",
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"Getting Started" => "getting_started.md",
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"ChainRules API Documentation" => "api.md"])
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"AbstractChainRules API Documentation" => "api.md"])
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deploydocs(repo="github.com/JuliaDiff/ChainRules.jl.git")
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deploydocs(repo="github.com/JuliaDiff/AbstractChainRules.jl.git")

‎docs/src/api.md

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# ChainRules API Documentation
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# AbstractChainRules API Documentation
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```@docs
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ChainRules.frule
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ChainRules.rrule
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ChainRules.AbstractRule
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ChainRules.Rule
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ChainRules.DNERule
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ChainRules.WirtingerRule
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ChainRules.accumulate
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ChainRules.accumulate!
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ChainRules.store!
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AbstractChainRules.frule
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AbstractChainRules.rrule
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AbstractChainRules.AbstractRule
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AbstractChainRules.Rule
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AbstractChainRules.DNERule
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AbstractChainRules.WirtingerRule
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AbstractChainRules.accumulate
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AbstractChainRules.accumulate!
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AbstractChainRules.store!
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```
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```@docs
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ChainRules.AbstractDifferential
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ChainRules.extern
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ChainRules.Casted
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ChainRules.Wirtinger
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ChainRules.Thunk
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ChainRules.Zero
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ChainRules.DNE
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ChainRules.One
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AbstractChainRules.AbstractDifferential
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AbstractChainRules.extern
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AbstractChainRules.Casted
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AbstractChainRules.Wirtinger
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AbstractChainRules.Thunk
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AbstractChainRules.Zero
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AbstractChainRules.DNE
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AbstractChainRules.One
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```

‎docs/src/index.md

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```@meta
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DocTestSetup = :(using ChainRules)
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CurrentModule = ChainRules
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DocTestSetup = :(using AbstractChainRules)
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CurrentModule = AbstractChainRules
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```
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# ChainRules
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# AbstractChainRules
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Hello! Welcome to ChainRules's documentation.
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Hello! Welcome to AbstractChainRules's documentation.
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For an initial overview of ChainRules, please see the README. Otherwise, feel free to peruse available documentation via the sidebar.
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For an initial overview of AbstractChainRules, please see the README. Otherwise, feel free to peruse available documentation via the sidebar.

‎src/AbstractChainRules.jl

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module AbstractChainRules
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using Cassette
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using Base.Broadcast: materialize, materialize!, broadcasted, Broadcasted, broadcastable
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export AbstractRule, Rule, frule, rrule
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export @scalar_rule, @thunk
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export extern, cast, store!, Wirtinger, Zero, One, Casted, DNE, Thunk, DNERule
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include("differentials.jl")
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include("rules.jl")
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end # module

‎src/ChainRules.jl

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