mimo models
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@ -11,10 +11,9 @@ function process_func(ex, params = [])
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end
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function makegraph(graph, args)
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@assert length(args) == 1
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graph = prewalk(graph) do v
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value(v) isa Constant && value(v).value == args[1] ?
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inputnode(1) :
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value(v) isa Constant && (i = findfirst(x->x==value(v).value, args)) ≠ 0 ?
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inputnode(i) :
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v
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end
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graph = map(graph) do x
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@ -69,7 +68,6 @@ function process_type(ex)
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@assert length(funcs) == 1
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pnames = namify.(params)
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args, body = process_func(funcs[1], pnames)
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@assert length(args) == 1
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self = esc(:self)
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quote
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$(build_type(T, params))
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@ -9,9 +9,9 @@ d = Affine(20, 10)
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dm = mxnet(d)
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@test d(xs) ≈ dm(xs)
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m = Multi(20, 15)
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mm = mxnet(m)
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@test all(isapprox.(mm(xs), m(xs)))
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# m = Multi(20, 15)
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# mm = mxnet(m)
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# @test all(isapprox.(mm(xs), m(xs)))
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@testset "Backward Pass" begin
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d′ = deepcopy(d)
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@ -10,7 +10,7 @@ end
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@net type Multi
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W
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V
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x -> (x*W, x*V)
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(x, y) -> (x*W, y*V)
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end
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Multi(in::Integer, out::Integer) =
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@ -51,8 +51,9 @@ let tlp = TLP(Affine(10, 21), Affine(20, 15))
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end
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let m = Multi(10, 15)
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x = rand(10)
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@test all(isapprox.(m(x), (m.W.x' * x, m.V.x' * x)))
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x, y = rand(10), rand(10)
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@test all(isapprox.(m(x, y), (m.W.x' * x, m.V.x' * y)))
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@test all(isapprox.(m(x, y), Flux.interpmodel(m, x, y)))
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end
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end
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