42 lines
868 B
Julia
42 lines
868 B
Julia
using TensorFlow
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Flux.loadtf()
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@testset "TensorFlow" begin
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xs, ys = rand(1, 20), rand(1, 20)
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d = Affine(20, 10)
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dt = tf(d)
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@test d(xs) ≈ dt(xs)
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m = Multi(20, 15)
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mm = tf(m)
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@test all(isapprox.(mm(xs, ys), m(xs, ys)))
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@testset "Tuple I/O" begin
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@test tf(@net x -> (identity(x),))([1,2,3]) == ([1,2,3],)
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@test tf(@net x -> x[1].*x[2])(([1,2,3],[4,5,6])) == [4,10,18]
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end
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@testset "Tensor interface" begin
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sess = TensorFlow.Session()
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X = placeholder(Float32)
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Y = Tensor(d, X)
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run(sess, global_variables_initializer())
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@test run(sess, Y, Dict(X=>Float32.(xs))) ≈ d(xs)
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end
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@testset "Stack Traces" begin
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model = TLP(Affine(10, 20), Affine(21, 15))
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dm = tf(model)
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e = try dm(rand(1, 10))
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catch e e end
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@test isa(e, DataFlow.Interpreter.Exception)
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@test e.trace[1].func == Symbol("Flux.Affine")
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@test e.trace[2].func == :TLP
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end
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end
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