public void RegisterStoreTests()
{
using (var registry = new RegisterStore())
{
var test11 = new Test11();
var test112 = new Test11();
var test12 = new Test12();
var test21 = new Test21();
registry.Register <ITest1>(test11);
registry.Register <ITest1>(test12);
registry.Register <ITest1>(test112);
registry.Register <ITest2>(test21);
Assert.IsTrue(registry.GetRegistered <ITest1>().SequenceEqual(new ITest1[] { test11, test12, test112 }));
Assert.IsTrue(registry.GetRegistered <ITest2>().SequenceEqual(new ITest2[] { test21 }));
}
}
static void Main()
{
/*
* Test1 a = new Test1();
* //line 23 error - 'Test1' is an ambiguous reference between 'NameSpaceTest1.Test1' and 'NameSpaceTest2.Test1'
* a.Testfunc();
*/
Test4 b = new Test4();
b.TestFun4(); // op- Test Fun 4
Test12 a = new Test12();
a.Testfunc(); // op- Test Fun 12
Test21 c = new Test21();
c.Testfunc(); // op- Test Fun 21
}
public static int Main()
{
Test1.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test1 OK");
}
Test2.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test2 OK");
}
Test3.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test3 OK");
}
Test4.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test4 OK");
}
Test5.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test5 OK");
}
Test6.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test6 OK");
}
Test7.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test7 OK");
}
Test8.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test8 OK");
}
Test9.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test9 OK");
}
Test10.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test10 OK");
}
Test11.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test11 OK");
}
Test12.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test12 OK");
}
Test13.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test13 OK");
}
Test14.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test14 OK");
}
Test15.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test15 OK");
}
Test16.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test16 OK");
}
Test17.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test17 OK");
}
Test18.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test18 OK");
}
Test19.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test19 OK");
}
Test20.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test20 OK");
}
Test21.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test21 OK");
}
Test22.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test22 OK");
}
Test23.Test();
if (Utils.failures == 0)
{
Console.WriteLine("Test23 OK");
}
if (Utils.failures > 0)
{
return(101);
}
else
{
Console.WriteLine("PASS");
return(100);
}
}
static void Main(string[] args)
{
//Comment out here if you want to run all on .Net Framework
//Weaver.Initialize(ComputeDeviceTypes.Gpu);
//Weaver.Initialize(ComputeDeviceTypes.Cpu, 0); //Subscript required if there are multiple devices
var recorder = HistogramFactory
.With64BitBucketSize()
?.WithValuesFrom(1)
?.WithValuesUpTo(2345678912345)
?.WithPrecisionOf(3)
?.WithThreadSafeWrites()
?.WithThreadSafeReads()
?.Create();
//Learning XOR with MLP
//recorder.Record(() => Test1.Run());
//Learning XOR with MLP 【Returned version】
//Test2.Run();
//Learning of Sin function by MLP
//recorder.Record(() => Test3.Run());
//Learning of MNIST (Handwritten Characters) by MLP
//Test4.Run();
//Reproduction of Excel CNN
//recorder.Record(() => Test5.Run());
//Learning of MNIST by 5-layer CNN
//recorder.Record(() => Test6.Run());
//Learning of MNIST by 15-tier MLP using BatchNorm
//Test7.Run();
//Learning of Sin function by LSTM
//Test8.Run();
//RNNLM with Simple RNN
//Test9.Run();
//RNNLM by LSTM
//Test10.Run();
//Decoupled Neural Interfaces using Synthetic Gradients by learning MNIST
//Test11.Run();
//DNI of Test 11 was defined as cDNI
//Test12.Run();
//Test of Deconvolution 2D(Winform)
//new Test13WinForm().ShowDialog();
//Concatenate Test 6 and execute
//Test14.Run();
//Test to read VGA 16 of Caffe model and classify images
//Test15.Run();
//Load and execute the same content as Test 5 of Chainer model
//Test16.Run();
//Test that reads RESNET of Caffe model and classifies images
//Test17.Run(Test17.ResnetModel.ResNet152); //Please select any Resnet model
//Learn CIFAR-10 with 5-layer CNN
//Test18.Run();
//Partial execution of Linear
//TestX.Run();
// LeakyReLu and PolynomialApproximantSteep combination network
//Test19.Run();
// 1000 layer neural network
//Test20.Run();
// MNIST (Handwritten Characters) by MLP Accuracy Tester 99.79 is goal
Test21.Run();
//benchmark
//SingleBenchmark.Run(true);
RILogManager.Default?.SendDebug("Test Done...");
Console.WriteLine("Test Complete, press any key to end");
Console.Read();
}
