Project.toml and Manifest updated
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@ -276,12 +276,6 @@ git-tree-sha1 = "3e83f60b74911d3042d3550884ca2776386a02b8"
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uuid = "0796e94c-ce3b-5d07-9a54-7f471281c624"
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uuid = "0796e94c-ce3b-5d07-9a54-7f471281c624"
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version = "0.5.3"
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version = "0.5.3"
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[[Tracker]]
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deps = ["Adapt", "DiffRules", "ForwardDiff", "LinearAlgebra", "MacroTools", "NNlib", "NaNMath", "Printf", "Random", "Requires", "SpecialFunctions", "Statistics", "Test"]
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git-tree-sha1 = "0bec1b68c63a0e8a58d3944261cbf4cc9577c8a1"
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uuid = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
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version = "0.2.0"
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[[TranscodingStreams]]
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[[TranscodingStreams]]
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deps = ["Random", "Test"]
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deps = ["Random", "Test"]
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git-tree-sha1 = "a25d8e5a28c3b1b06d3859f30757d43106791919"
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git-tree-sha1 = "a25d8e5a28c3b1b06d3859f30757d43106791919"
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@ -21,13 +21,12 @@ SHA = "ea8e919c-243c-51af-8825-aaa63cd721ce"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
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ZipFile = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
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ZipFile = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[compat]
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[compat]
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NNlib = "0.6"
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NNlib = "0.6"
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Tracker = "0.2"
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Zygote = "0.3"
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julia = "0.7, 1"
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julia = "0.7, 1"
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[extras]
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[extras]
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@ -24,7 +24,7 @@ include("layers/conv.jl")
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@info "Running Gradient Checks"
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@info "Running Gradient Checks"
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include("tracker.jl")
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include("zygote.jl")
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if Base.find_package("CuArrays") != nothing
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if Base.find_package("CuArrays") != nothing
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include("cuda/cuda.jl")
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include("cuda/cuda.jl")
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@ -22,7 +22,7 @@ gradcheck(f, xs...) =
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gradtest(f, xs::AbstractArray...) = gradcheck((xs...) -> sum(sin.(f(xs...))), xs...)
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gradtest(f, xs::AbstractArray...) = gradcheck((xs...) -> sum(sin.(f(xs...))), xs...)
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gradtest(f, dims...) = gradtest(f, rand.(Float64, dims)...)
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gradtest(f, dims...) = gradtest(f, rand.(Float64, dims)...)
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@testset "Tracker" begin
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@testset "Zygote" begin
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@test gradtest(Flux.mse, rand(5,5), rand(5, 5))
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@test gradtest(Flux.mse, rand(5,5), rand(5, 5))
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@test gradtest(Flux.crossentropy, rand(5,5), rand(5, 5))
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@test gradtest(Flux.crossentropy, rand(5,5), rand(5, 5))
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