test: use random seed

Author: sathvikbhagavan

test/AD_compatibility.jl

@@ -5,6 +5,9 @@ using ForwardDiff
 using Test
 using GaussianMixtures
 using Flux
+using Random
+
+Random.seed!(42)
 
 @testset "ForwardDiff" begin
     @testset "1D" begin

test/extensions.jl

@@ -300,6 +300,8 @@ end
     using Flux
     using Flux.Optimisers
     using LinearAlgebra
+    using Random
+    Random.seed!(42)
 
     @testset "1D without gradients" begin
         model = Chain(
@@ -515,11 +517,11 @@ end
         y = f.(x)
         dydx = reshape(df.(x), :, 1)
         model = Chain(
-            Dense(1, 20, relu),
-            Dense(20, 20, relu),
-            Dense(20, 1)
+            Dense(1, 12, relu),
+            Dense(12, 12, relu),
+            Dense(12, 1)
         ) |> Flux.f64
-        genn = GENNSurrogate(x, y, lb, ub, dydx = dydx, model = model, is_normalize = true, n_epochs = 500)
+        genn = GENNSurrogate(x, y, lb, ub, dydx = dydx, model = model, is_normalize = true, n_epochs = 100)
         val = genn(5.0)
         @test val isa Number
         @test isapprox(val, f(5.0), atol = 2.0)