public static void Main(string[] args)
{
// CreateHostBuilder(args).Build().Run();
//CreateWebHostBuilder(args).Build().Run();
Sequential Seq = new Sequential();
Seq.Add(new Dense(32, activation: "relu", input_shape: new Shape(250, 250, 3)));
Seq.Add(new Dense(64, activation: "relu"));
Seq.Add(new Dense(1, activation: "sigmoid"));
Console.WriteLine(Backend.GetBackend());
var function = Backend.Function(Seq.Layers(0), Seq.Layers(1));
Console.WriteLine(function);
NDarray x = np.array(new float[, ] {
{ 0, 0 }, { 0, 1 }, { 1, 0 }, { 1, 1 }
});
NDarray y = np.array(new float[] { 0, 1, 1, 0 });
var val = (42, 2);
// var data = tf.ones(new TensorShape(new int[] {1, 259, 259, 3}));
var data = Backend.ones();
KerasIterator iter = new KerasIterator(data);
var z = new PyIter(iter.PyObject);
z.MoveNext();
var output = z.Current;
var res = function(data);
Console.WriteLine("function Results:");
Console.WriteLine(res);
}