41 lines
893 B
Julia
41 lines
893 B
Julia
syntax(v::Vertex) = prettify(DataFlow.syntax(v))
|
||
syntax(x) = syntax(graph(x))
|
||
|
||
@testset "Basics" begin
|
||
|
||
xs = randn(1, 10)
|
||
d = Affine(10, 20)
|
||
|
||
@test d(xs) ≈ (xs*d.W.x + d.b.x)
|
||
|
||
d1 = @net x -> x * d.W + d.b
|
||
|
||
@test Flux.infer(d, (1, 10)) == (1,20)
|
||
|
||
# Skip this before new DataFlow is released.
|
||
# let
|
||
# @test @capture(syntax(d), _Frame(_Line((+).(x_[1] * W_, b_))))
|
||
# @test isa(x, DataFlow.Input) && isa(W, Param) && isa(b, Param)
|
||
# end
|
||
|
||
test_anon(identity)
|
||
|
||
let a1 = Affine(10, 20), a2 = Affine(20, 15)
|
||
tlp = TLP(a1, a2)
|
||
@test tlp(xs) ≈ softmax(a2(σ(a1(xs))))
|
||
@test Flux.interpmodel(tlp, xs) ≈ softmax(a2(σ(a1(xs))))
|
||
@test Flux.infer(tlp, (1, 10)) == (1,15)
|
||
end
|
||
|
||
let tlp = TLP(Affine(10, 21), Affine(20, 15))
|
||
e = try
|
||
Flux.interpmodel(tlp, rand(1, 10))
|
||
catch e
|
||
e
|
||
end
|
||
@test e.trace[end].func == :TLP
|
||
@test e.trace[end-1].func == Symbol("Flux.Affine")
|
||
end
|
||
|
||
end
|