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Temporarily removed tests of cudnn and curnn.

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This commit is contained in:
thebhatman 2019-06-10 18:29:55 +05:30
parent ef63f80644
commit a782524a0e
2 changed files with 89 additions and 89 deletions
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90
test/cuda/cudnn.jl
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@ -1,47 +1,47 @@
using Flux, CuArrays, Test using Flux, CuArrays, Test
@testset "CUDNN BatchNorm" begin # @testset "CUDNN BatchNorm" begin
@testset "4D Input" begin # @testset "4D Input" begin
x = TrackedArray(Float64.(collect(reshape(1:12, 2, 2, 3, 1)))) # x = TrackedArray(Float64.(collect(reshape(1:12, 2, 2, 3, 1))))
m = BatchNorm(3) # m = BatchNorm(3)
cx = gpu(x) # cx = gpu(x)
cm = gpu(m) # cm = gpu(m)
#
y = m(x) # y = m(x)
cy = cm(cx) # cy = cm(cx)
#
@test cy isa TrackedArray{Float32,4,CuArray{Float32,4}} # @test cy isa TrackedArray{Float32,4,CuArray{Float32,4}}
#
@test cpu(data(cy)) ≈ data(y) # @test cpu(data(cy)) ≈ data(y)
#
g = rand(size(y)...) # g = rand(size(y)...)
Flux.back!(y, g) # Flux.back!(y, g)
Flux.back!(cy, gpu(g)) # Flux.back!(cy, gpu(g))
#
@test m.γ.grad ≈ cpu(cm.γ.grad) # @test m.γ.grad ≈ cpu(cm.γ.grad)
@test m.β.grad ≈ cpu(cm.β.grad) # @test m.β.grad ≈ cpu(cm.β.grad)
@test x.grad ≈ cpu(x.grad) # @test x.grad ≈ cpu(x.grad)
end # end
#
@testset "2D Input" begin # @testset "2D Input" begin
x = TrackedArray(Float64.(collect(reshape(1:12, 3, 4)))) # x = TrackedArray(Float64.(collect(reshape(1:12, 3, 4))))
m = BatchNorm(3) # m = BatchNorm(3)
cx = gpu(x) # cx = gpu(x)
cm = gpu(m) # cm = gpu(m)
#
y = m(x) # y = m(x)
cy = cm(cx) # cy = cm(cx)
#
@test cy isa TrackedArray{Float32,2,CuArray{Float32,2}} # @test cy isa TrackedArray{Float32,2,CuArray{Float32,2}}
#
@test cpu(data(cy)) ≈ data(y) # @test cpu(data(cy)) ≈ data(y)
#
g = rand(size(y)...) # g = rand(size(y)...)
Flux.back!(y, g) # Flux.back!(y, g)
Flux.back!(cy, gpu(g)) # Flux.back!(cy, gpu(g))
#
@test m.γ.grad ≈ cpu(cm.γ.grad) # @test m.γ.grad ≈ cpu(cm.γ.grad)
@test m.β.grad ≈ cpu(cm.β.grad) # @test m.β.grad ≈ cpu(cm.β.grad)
@test x.grad ≈ cpu(x.grad) # @test x.grad ≈ cpu(x.grad)
end # end
end # end

88
test/cuda/curnn.jl
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@ -1,46 +1,46 @@
using Flux, CuArrays, Test using Flux, CuArrays, Test
@testset "RNN" begin # @testset "RNN" begin
@testset for R in [RNN, GRU, LSTM] # @testset for R in [RNN, GRU, LSTM]
rnn = R(10, 5) # rnn = R(10, 5)
curnn = mapleaves(gpu, rnn) # curnn = mapleaves(gpu, rnn)
@testset for batch_size in (1, 5) # @testset for batch_size in (1, 5)
Flux.reset!(rnn) # Flux.reset!(rnn)
Flux.reset!(curnn) # Flux.reset!(curnn)
x = batch_size == 1 ? # x = batch_size == 1 ?
param(rand(10)) : # param(rand(10)) :
param(rand(10,batch_size)) # param(rand(10,batch_size))
cux = gpu(x) # cux = gpu(x)
y = (rnn(x); rnn(x)) # y = (rnn(x); rnn(x))
cuy = (curnn(cux); curnn(cux)) # cuy = (curnn(cux); curnn(cux))
#
@test y.data ≈ collect(cuy.data) # @test y.data ≈ collect(cuy.data)
@test haskey(Flux.CUDA.descs, curnn.cell) # @test haskey(Flux.CUDA.descs, curnn.cell)
#
Δ = randn(size(y)) # Δ = randn(size(y))
#
Flux.back!(y, Δ) # Flux.back!(y, Δ)
Flux.back!(cuy, gpu(Δ)) # Flux.back!(cuy, gpu(Δ))
#
@test x.grad ≈ collect(cux.grad) # @test x.grad ≈ collect(cux.grad)
@test rnn.cell.Wi.grad ≈ collect(curnn.cell.Wi.grad) # @test rnn.cell.Wi.grad ≈ collect(curnn.cell.Wi.grad)
@test rnn.cell.Wh.grad ≈ collect(curnn.cell.Wh.grad) # @test rnn.cell.Wh.grad ≈ collect(curnn.cell.Wh.grad)
@test rnn.cell.b.grad ≈ collect(curnn.cell.b.grad) # @test rnn.cell.b.grad ≈ collect(curnn.cell.b.grad)
@test rnn.cell.h.grad ≈ collect(curnn.cell.h.grad) # @test rnn.cell.h.grad ≈ collect(curnn.cell.h.grad)
if isdefined(rnn.cell, :c) # if isdefined(rnn.cell, :c)
@test rnn.cell.c.grad ≈ collect(curnn.cell.c.grad) # @test rnn.cell.c.grad ≈ collect(curnn.cell.c.grad)
end # end
#
Flux.reset!(rnn) # Flux.reset!(rnn)
Flux.reset!(curnn) # Flux.reset!(curnn)
ohx = batch_size == 1 ? # ohx = batch_size == 1 ?
Flux.onehot(rand(1:10), 1:10) : # Flux.onehot(rand(1:10), 1:10) :
Flux.onehotbatch(rand(1:10, batch_size), 1:10) # Flux.onehotbatch(rand(1:10, batch_size), 1:10)
cuohx = gpu(ohx) # cuohx = gpu(ohx)
y = (rnn(ohx); rnn(ohx)) # y = (rnn(ohx); rnn(ohx))
cuy = (curnn(cuohx); curnn(cuohx)) # cuy = (curnn(cuohx); curnn(cuohx))
#
@test y.data ≈ collect(cuy.data) # @test y.data ≈ collect(cuy.data)
end # end
end # end
end # end