CubbyDNN graph sample code

GraphTest.cpp

using Tensor = Tensor<float>;

Graph g;
auto& input = g.Input(TensorShape(64, 32));
auto& oneHot = g.Reshape(input, TensorShape(1, 2048));
auto& output = g.DropOut(oneHot, 10);
auto& answer = g.Max(result);

for (int i = 0; i < trainNum; ++i)
{
    data = LoadData("dataPath");
    g.ImportData(data[i]);
	  Tensor answer = g.Run();
	
	  std::cout << "the answer is" << answer << std::endl;
}

@Ravenwater I have not yet decided what operations are required in Graph class. I referenced test code in the following library.
https://github.com/AcrylicShrimp/TinNet/blob/master/Example_Graph_Basic/Run.cpp
I'm curious about it you are suggesting. This part needs a lot of discussion and I want to take a few comments and go a little better.