40 lines
767 B
Julia
40 lines
767 B
Julia
@net type TLP
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first
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second
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function (x)
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l1 = σ(first(x))
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l2 = softmax(second(l1))
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end
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end
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@testset "Basics" begin
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xs = randn(10)
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d = Affine(10, 20)
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@test d(xs) ≈ (xs'*d.W.x + d.b.x)[1,:]
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let
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@capture(syntax(d), _Frame(_Line(x_[1] * W_ + b_)))
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@test isa(x, DataFlow.Input) && isa(W, Param) && isa(b, Param)
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end
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let a1 = Affine(10, 20), a2 = Affine(20, 15)
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tlp = TLP(a1, a2)
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@test tlp(xs) ≈ softmax(a2(σ(a1(xs))))
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@test Flux.interpmodel(tlp, xs) ≈ softmax(a2(σ(a1(xs))))
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@test Flux.infer(tlp, (1, 10)) == (1,15)
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end
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let tlp = TLP(Affine(10, 21), Affine(20, 15))
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e = try
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Flux.interpmodel(tlp, rand(10))
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catch e
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e
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end
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@test e.trace[end].func == :TLP
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@test e.trace[end-1].func == Symbol("Flux.Affine")
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end
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end
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