public void ForwardTest2()
{
var yHat = new TensorOld(new double[] { 0.05, 0.15, 0.7, 0.1 }, 1, 4);
var yHat2 = new TensorOld(new double[] { 0.1, 0.15, 0.65, 0.1 }, 1, 4);
var y = new TensorOld(new double[] { 0, 0, 1, 0 }, 1, 4);
var ce = new CrossEntropy();
ce.PrepareTrain(y, yHat);
ce.Compute(y, yHat);
var loss = ce.GetLoss();
ce.Compute(y, yHat2);
var loss2 = ce.GetLoss();
Assert.True(loss < loss2);
}
public void ForwardTest()
{
//模拟sigmoid的情况，4个样本
var yHat = new TensorOld(new double[] { 0.7, 0.2, 0.4, 0.9 }, 4, 1);
var yHat2 = new TensorOld(new double[] { 0.7, 0.2, 0.6, 0.9 }, 4, 1);
var y = new TensorOld(new double[] { 1, 0, 1, 1 }, 4, 1);
var ce = new CrossEntropy();
ce.PrepareTrain(y, yHat);
ce.Compute(y, y);
var minLoss = ce.GetLoss();
ce.Compute(y, yHat);
var loss = ce.GetLoss();
ce.Compute(y, yHat2);
var loss2 = ce.GetLoss();
Assert.Equal(0, minLoss);
Assert.True(loss > minLoss);
Assert.True(loss > loss2);
}
