static void Main(string[] args)
{
var diag = new Diagnostician();
// diag.Diagnose(@"D:\memory.txt");
// this class is used explor new features.
var exploring = new Exploring();
// exploring.Run();
// boot .net core 10.5M.
var mm = new MemoryMonitor();
// warm up tensorflow.net 37.3M.
mm.WarmUp();
BasicTest(mm);
KerasTest(mm);
FuncGraph(mm);
// 65M
Console.WriteLine("Finished.");
Console.ReadLine();
}
static void Main(string[] args)
{
// this class is used explor new features.
var exploring = new Exploring();
// exploring.Run();
// boot .net core 10.5M.
var mm = new MemoryMonitor();
// warm up tensorflow.net 28.5M.
mm.WarmUp();
var cases = new MemoryTestingCases();
int batchSize = 1000;
// explaination of constant
mm.Execute(10, 100 * batchSize, cases.Constant2x3);
// 1 million float tensor 68M.
mm.Execute(10, 100 * batchSize, cases.Constant);
// 100K float variable 84M.
mm.Execute(10, 10 * batchSize, cases.Variable);
// 1 million math add 39M.
mm.Execute(10, 100 * batchSize, cases.MathAdd);
// 100K gradient 44M.
mm.Execute(10, 10 * batchSize, cases.Gradient);
// 95M
Console.WriteLine("Finished.");
Console.ReadLine();
}
