Merge pull request #144 from SciML/tests

seed tests

Author: ChrisRackauckas

Project.toml

@@ -36,7 +36,7 @@ Flux = "0.10.1, 0.11"
 ForwardDiff = "0.10"
 GalacticOptim = "0.1.1, 0.2"
 ModelingToolkit = "3.11"
-Optim = "0.20, 0.21, 0.22, 1.0"
+Optim = "1.0"
 Reexport = "0.2"
 StochasticDiffEq = "6.13"
 Tracker = "0.2"

test/NNKolmogorov_tests.jl

@@ -3,6 +3,8 @@ println("Kolmogorov Tests")
 using DiffEqDevTools , NeuralPDE
 using Distributions
 
+using Random
+Random.seed!(100)
 
 #Using SDEProblem for the Algorithm.
 # For a diract delta take u0 = Normal(0 , sigma) where sigma --> 0

test/NNPDEHan_tests.jl

@@ -2,6 +2,9 @@ using Flux, Zygote, LinearAlgebra, Statistics
 println("NNPDEHAN_tests")
 using Test, NeuralPDE , StochasticDiffEq
 
+using Random
+Random.seed!(100)
+
 # one-dimensional heat equation
 x0 = [11.0f0]  # initial points
 tspan = (0.0f0,5.0f0)

test/NNPDENS_tests.jl

@@ -3,6 +3,9 @@ using LinearAlgebra, Statistics
 println("NNPDENS_tests")
 using Test, NeuralPDE
 
+using Random
+Random.seed!(100)
+
 println("one-dimensional heat equation")
 x0 = Float32[11.] # initial points
 tspan = (0.0f0,5.0f0)

test/NNPDE_tests.jl

@@ -8,6 +8,9 @@ using Test, NeuralPDE
 using GalacticOptim
 using Optim
 
+using Random
+Random.seed!(100)
+
 cb = function (p,l)
     println("Current loss is: $l")
     return false

test/NNPDE_tests_gpu.jl

@@ -9,6 +9,9 @@ using GalacticOptim
 using Optim
 using CUDA
 
+using Random
+Random.seed!(100)
+
 cb = function (p,l)
     println("Current loss is: $l")
     return false

test/NNRODE_tests.jl

@@ -3,6 +3,9 @@ using Flux , StochasticDiffEq, DiffEqNoiseProcess , Optim, Test
 println("RODE_tests")
 using  NeuralPDE
 
+using Random
+Random.seed!(100)
+
 println("Test Case 1")
 linear = (u,p,t,W) ->   2u*sin(W)
 tspan = (0.00f0, 1.00f0)

test/Stopping_tests.jl

@@ -1,6 +1,10 @@
 using Test, Flux , StochasticDiffEq , LinearAlgebra
 println("Optimal Stopping Time Test")
 using NeuralPDE
+
+using Random
+Random.seed!(100)
+
 d = 1
 r = 0.04f0
 beta = 0.2f0