40 lines
856 B
Julia
40 lines
856 B
Julia
using Flux, Flux.Tracker, CuArrays, Base.Test
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using Flux: gpu
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info("Testing Flux/GPU")
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@testset "CuArrays" begin
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CuArrays.allowscalar(false)
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x = param(randn(5, 5))
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cx = gpu(x)
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@test cx isa TrackedArray && cx.data isa CuArray
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x = Flux.onehotbatch([1, 2, 3], 1:3)
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cx = gpu(x)
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@test cx isa Flux.OneHotMatrix && cx.data isa CuArray
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m = Chain(Dense(10, 5, tanh), Dense(5, 2), softmax)
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cm = gpu(m)
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@test all(p isa TrackedArray && p.data isa CuArray for p in params(cm))
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@test cm(gpu(rand(10, 10))) isa TrackedArray{Float32,2,CuArray{Float32,2}}
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x = [1,2,3]
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cx = gpu(x)
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@test Flux.crossentropy(x,x) ≈ Flux.crossentropy(cx,cx)
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# Fails in Pkg.test ffs
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# c = gpu(Conv((2,2),3=>4))
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# l = c(gpu(rand(10,10,3,2)))
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# Flux.back!(sum(l))
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end
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if CuArrays.cudnn_available()
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info("Testing Flux/CUDNN RNN")
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include("cudnn.jl")
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include("curnn.jl")
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end
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