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Modified tests in cuda.jl

This commit is contained in:
thebhatman 2019-06-13 18:44:17 +05:30
parent 1ff4e3188e
commit 25f74d1b4a
1 changed files with 9 additions and 6 deletions
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15
test/cuda/cuda.jl
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@ -1,5 +1,6 @@
using Flux, CuArrays, Test
using Flux: gpu
using Zygote
@info "Testing GPU Support"
@ -9,20 +10,20 @@ CuArrays.allowscalar(false)
x = param(randn(5, 5))
cx = gpu(x)
@test cx isa TrackedArray && cx.data isa CuArray
@test cx isa CuArray
@test Flux.onecold(param(gpu([1.,2.,3.]))) == 3
x = Flux.onehotbatch([1, 2, 3], 1:3)
cx = gpu(x)
@test cx isa Flux.OneHotMatrix && cx.data isa CuArray
@test cx isa Flux.OneHotMatrix && cx isa CuArray
@test (cx .+ 1) isa CuArray
m = Chain(Dense(10, 5, tanh), Dense(5, 2), softmax)
cm = gpu(m)
@test all(p isa TrackedArray && p.data isa CuArray for p in params(cm))
@test cm(gpu(rand(10, 10))) isa TrackedArray{Float32,2,CuArray{Float32,2}}
@test all(p isa CuArray for p in params(cm))
@test cm(gpu(rand(10, 10))) isa CuArray{Float32,2}
x = [1,2,3]
cx = gpu(x)
@ -34,11 +35,13 @@ ys = Flux.onehotbatch(1:5,1:5)
c = gpu(Conv((2,2),3=>4))
l = c(gpu(rand(10,10,3,2)))
Flux.back!(sum(l))
fwd, back = Zygote.forward(sum, l)
back(one(Float64))
c = gpu(CrossCor((2,2),3=>4))
l = c(gpu(rand(10,10,3,2)))
Flux.back!(sum(l))
fwd, back = Zygote.forward(sum, l)
back(one(Float64))
end