move tests
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@ -1,12 +1,12 @@
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using Flux, Test
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using Flux, Test
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using Flux.CuArrays
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using Flux.CUDA
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using Flux: gpu
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using Flux: gpu
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@info "Testing GPU Support"
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@info "Testing GPU Support"
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@testset "CuArrays" begin
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@testset "CUDA" begin
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CuArrays.allowscalar(false)
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CUDA.allowscalar(false)
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x = randn(5, 5)
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x = randn(5, 5)
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cx = gpu(x)
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cx = gpu(x)
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@ -65,7 +65,7 @@ end
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@test gradient(foo, cu(rand(1)))[1] isa CuArray
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@test gradient(foo, cu(rand(1)))[1] isa CuArray
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end
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end
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if CuArrays.has_cudnn()
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if CUDA.has_cudnn()
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@info "Testing Flux/CUDNN"
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@info "Testing Flux/CUDNN"
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include("cudnn.jl")
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include("cudnn.jl")
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include("curnn.jl")
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include("curnn.jl")
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@ -1,4 +1,4 @@
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using Flux, CuArrays, Test
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using Flux, CUDA, Test
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using Flux: pullback
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using Flux: pullback
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@testset "CUDNN BatchNorm" begin
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@testset "CUDNN BatchNorm" begin
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@ -1,4 +1,4 @@
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using Flux, CuArrays, Test
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using Flux, CUDA, Test
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using Flux: pullback
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using Flux: pullback
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@testset for R in [RNN, GRU, LSTM]
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@testset for R in [RNN, GRU, LSTM]
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@ -35,7 +35,7 @@ function gradtest(name::String, layers::Vector, xs = nothing, args...)
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# Handle pooling layers
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# Handle pooling layers
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if !isempty(ps)
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if !isempty(ps)
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@test gs[first(ps)] isa Flux.CuArrays.CuArray
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@test gs[first(ps)] isa Flux.CUDA.CuArray
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end
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end
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end
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end
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end
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end
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