TastyPancakes/Flux.jl
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Merge pull request #99 from iblis17/mean

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TrackedArray: implement `mean`
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Mike J Innes 2017-10-30 16:37:08 +00:00 committed by GitHub
commit 1186170542
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2 changed files with 15 additions and 0 deletions
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5
src/tracker/lib.jl
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@ -57,6 +57,11 @@ back(::typeof(sum), Δ, xs::TrackedArray, dim...) = back(xs, similar(xs.data) .=
Base.maximum(xs::TrackedArray, args...) = maximum(xs.data, args...)
Base.findfirst(xs::TrackedArray, args...) = findfirst(xs.data, args...)
Base.mean(xs::TrackedArray, region) = TrackedArray(Call(mean, xs, region))
back(::typeof(mean), Δ, xs::TrackedArray, region) =
back(xs, similar(xs.data) .= Δ ./ prod(size(xs.data, region...)))
# BLAS
a::TrackedMatrix * b::TrackedMatrix = TrackedArray(Call(*, a, b))

10
test/tracker.jl
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@ -22,6 +22,16 @@ gradtest(f, dims...) = gradtest(f, rand.(dims)...)
@test gradtest(vcat, rand(5), rand(3))
@test gradtest(vcat, rand(2,3), rand(3,3))
@testset "mean" begin
@test gradtest(mean, rand(2, 3))
@test gradtest(x -> mean(x, 1), rand(2, 3))
@test gradtest(x -> mean(x, 2), rand(2, 3))
@test gradtest(x -> mean(x, 3), rand(2, 3, 4))
@test gradtest(x -> mean(x, [1, 2]), rand(2, 3, 4))
end
@test gradtest(rand(5)) do x
y = x.^2
2y + x