93 lines
2.1 KiB
Julia
93 lines
2.1 KiB
Julia
using Flux
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using Flux: throttle, jacobian, initn, glorot_uniform, glorot_normal
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using StatsBase: std
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using Random
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using Test
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@testset "Throttle" begin
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@testset "default behaviour" begin
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a = []
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f = throttle(()->push!(a, time()), 1, leading=true, trailing=false)
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f()
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f()
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f()
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sleep(1.01)
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@test length(a) == 1
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end
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@testset "leading behaviour" begin
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a = []
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f = throttle(()->push!(a, time()), 1, leading=true, trailing=false)
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f()
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@test length(a) == 1
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f()
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@test length(a) == 1
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sleep(1.01)
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f()
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@test length(a) == 2
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end
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@testset "trailing behaviour" begin
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a = []
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f = throttle(()->push!(a, time()), 1, leading=false, trailing=true)
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f()
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@test length(a) == 0
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f()
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@test length(a) == 0
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sleep(1.01)
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@test length(a) == 1
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end
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@testset "arguments" begin
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a = []
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f = throttle((x)->push!(a, x), 1, leading=true, trailing=true)
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f(1)
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@test a == [1]
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f(2)
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@test a == [1]
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f(3)
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@test a == [1]
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sleep(1.01)
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@test a == [1, 3]
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end
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end
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@testset "Jacobian" begin
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A = param(randn(2,2))
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x = randn(2)
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m(x) = A*x
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y = m(x)
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J = jacobian(m,x)
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@test J ≈ A.data
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end
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@testset "Initialization" begin
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# Set random seed so that these tests don't fail randomly
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Random.seed!(0)
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# initn() should yield a kernel with stddev ~= 1e-2
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v = initn(10, 10)
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@test std(v) > 0.9*1e-2
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@test std(v) < 1.1*1e-2
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# glorot_uniform should yield a kernel with stddev ~= sqrt(6/(n_in + n_out)),
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# and glorot_normal should yield a kernel with stddev != 2/(n_in _ n_out)
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for (n_in, n_out) in [(100, 100), (100, 400)]
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v = glorot_uniform(n_in, n_out)
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@test minimum(v) > -1.1*sqrt(6/(n_in + n_out))
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@test minimum(v) < -0.9*sqrt(6/(n_in + n_out))
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@test maximum(v) > 0.9*sqrt(6/(n_in + n_out))
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@test maximum(v) < 1.1*sqrt(6/(n_in + n_out))
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v = glorot_normal(n_in, n_out)
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@test std(v) > 0.9*sqrt(2/(n_in + n_out))
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@test std(v) < 1.1*sqrt(2/(n_in + n_out))
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end
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end
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@testset "Params" begin
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m = Dense(10, 5)
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@test size.(params(m)) == [(5, 10), (5,)]
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m = RNN(10, 5)
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@test size.(params(m)) == [(5, 10), (5, 5), (5,), (5,)]
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end
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