weights updated in tests

test/optimise.jl

@@ -56,7 +56,7 @@ end
 
 @testset "ExpDecay" begin
     w = randn(10, 10)
-    o = ExpDecay(0.1, decay = 0.1, decay_step = 1000, clip = 1e-4)
+    o = ExpDecay(0.1, 0.1, 1000, 1e-4)
     w1 = param(randn(10,10))
     loss(x) = Flux.mse(w*x, w1*x)
     flag = 1
@@ -65,6 +65,7 @@ end
       back!(l)
       prev_grad = collect(w1.grad)
       delta = Optimise.apply!(o, w1.data, w1.grad)
+      w1.data .-= delta
       array = fill(o.eta, size(prev_grad))
       if array .* prev_grad != delta
         flag = 0