add test for optimizers

test/optimizer.jl

@@ -0,0 +1,38 @@
+@testset "training julia models" begin
+
+    @testset "linear regression" begin
+        srand(0)
+
+        model = Affine(10, 1)
+
+        truth = Float32[0, 4, 2, 2, -3, 6, -1, 3, 2, -5]'
+
+        data = map(1:256) do i
+            x = rand(Float32, 10)
+            x, truth * x + 3rand(Float32)
+        end
+
+        Flux.train!(model, data, epoch=5)
+
+        @test cor(reshape.((model.W.x, truth), 10)...) > .99
+    end
+
+    @testset "logistic regression" begin
+        srand(0)
+
+        model = Chain(Affine(10, 1), σ)
+
+        truth = Float32[0, 4, 2, 2, -3, 6, -1, 3, 2, -5]'
+
+        data = map(1:256) do i
+            x = rand(Float32, 10)
+            x, truth * x + 2rand(Float32) > 5f0
+        end
+
+        Flux.train!(model, data, epoch=10)
+
+        @test cor(reshape.((model.layers[1].W.x, truth), 10)...) > .99
+    end
+
+end
+

test/runtests.jl

@@ -15,5 +15,7 @@ include("backend/common.jl")
 
 include("basic.jl")
 include("recurrent.jl")
+include("optimizer.jl")
+
 @tfonly include("backend/tensorflow.jl")
 @mxonly include("backend/mxnet.jl")