/// <summary>
/// 训练前的准备工作，检查并确定所需Tensor的结构并分配好内存
/// </summary>
/// <param name="y">样本标签</param>
/// <param name="yHat">输出标签</param>
public override void PrepareTrain(TensorOld y, TensorOld yHat)
{
TensorOld.CheckShape(y, yHat);
ForwardOutput = y.GetSameShape();
BackwardOutput = y.GetSameShape();
}
public static TensorOld MeanSquareError(TensorOld y, TensorOld yHat)
{
TensorOld.CheckShape(y, yHat);
var result = y.GetSameShape();
MeanSquareError(y, yHat, result);
return(result);
}
/// <summary>
/// 训练前的准备工作，检查并确定所需Tensor的结构并分配好内存
/// </summary>
/// <param name="y">样本标签</param>
/// <param name="yHat">输出标签</param>
public override void PrepareTrain(TensorOld y, TensorOld yHat)
{
TensorOld.CheckShape(y, yHat);
if (y.Rank != 2)
{
throw new TensorShapeException("y and yHat must Rank=2");
}
ForwardOutput = new TensorOld(y.shape[0]);
BackwardOutput = yHat.GetSameShape();
yBuff = new double[y.shape[1]];
yHatBuff = new double[y.shape[1]];
derBuff = new double[y.shape[1]];
sampleNumber = y.Shape[0];
}