/// <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();
}
/// <summary>
/// 给t的每个元素加上d，结果返回为新的Tensor
/// </summary>
/// <param name="t">Tensor</param>
/// <param name="d">要加上的值</param>
/// <returns></returns>
public static TensorOld Add(TensorOld t, double d)
{
var result = t.GetSameShape();
Add(t, d, result);
return(result);
}
/// <summary>
/// Tensor每个元素乘上数字d，结果返回为新的Tensor
/// </summary>
/// <param name="t">Tensor</param>
/// <param name="d">数字d</param>
/// <returns>包含结果的新的Tensor</returns>
public static TensorOld Multiple(TensorOld t, double d)
{
var result = t.GetSameShape();
Multiple(t, d, result);
return(result);
}
/// <summary>
/// 分类问题中产生的如果是概率，需要把概率转换为编码结果
/// 后面再解码得到最终的分类
/// </summary>
/// <param name="probability">概率</param>
/// <returns>编码</returns>
public static TensorOld ProbabilityToCode(TensorOld probability)
{
var code = probability.GetSameShape();
ProbabilityToCode(probability, code);
return(code);
}
/// <summary>
/// 两个Tensor对应元素相处，结果返回为新的Tensor，要求两个Tensor结构一致
/// </summary>
/// <param name="a">被除数</param>
/// <param name="b">除数</param>
/// <returns>包含结果的新的Tensor</returns>
public static TensorOld DivideElementWise(TensorOld a, TensorOld b)
{
var result = a.GetSameShape();
DivideElementWise(a, b, result);
return(result);
}
/// <summary>
/// 用d去除以Tensor中的每个元素，结果返回为新的Tensor
/// </summary>
/// <param name="d">被除数</param>
/// <param name="t">除数</param>
/// <returns>包含结果的新的Tensor</returns>
public static TensorOld Divide(double d, TensorOld t)
{
var result = t.GetSameShape();
Apply(t, result, a => d / a);
return(result);
}
/// <summary>
/// Tensor的每个元素除以d，结果返回为新的Tensor
/// </summary>
/// <param name="t">被除数</param>
/// <param name="d">除数</param>
/// <returns>包含结果的新的Tensor</returns>
public static TensorOld Divide(TensorOld t, double d)
{
var result = t.GetSameShape();
Apply(t, result, a => a / d);
return(result);
}
public static TensorOld Apply(TensorOld a, TensorOld b, Func <double, double, double> function)
{
var result = a.GetSameShape();
Apply(a, b, result, function);
return(result);
}
/// <summary>
/// 指定Tensor的每个元素应用function，结果返回为新的Tensor
/// </summary>
/// <param name="tensor">应用function的Tensor</param>
/// <param name="function">引用的function</param>
/// <returns>结果返回为新的Tensor</returns>
public static TensorOld Apply(TensorOld tensor, Func <double, double> function)
{
var result = tensor.GetSameShape();
Apply(tensor, result, function);
return(result);
}
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];
}
/// <summary>
/// 两个Tensor的点积，结果返回为新的Tensor，要求两个Tensor结构一致
/// </summary>
/// <param name="a">Tensor1</param>
/// <param name="b">Tensor2</param>
/// <returns>包含结果的新的Tensor</returns>
public static TensorOld MultipleElementWise(TensorOld a, TensorOld b)
{
if (a.ElementCount == 1)
{
return(Multiple(b, a.GetValue()));
}
if (b.ElementCount == 1)
{
return(Multiple(a, b.GetValue()));
}
var result = a.GetSameShape();
MultipleElementWise(a, b, result);
return(result);
}
/// <summary>
/// Tensor和Tensor对应元素相加，结果返回为新的Tensor，要求两个Tensor结构相同
/// </summary>
/// <param name="a">Tensor</param>
/// <param name="b">Tensor</param>
/// <returns>相加后的结果</returns>
public static TensorOld Add(TensorOld a, TensorOld b)
{
if (a.ElementCount == 1)
{
return(Add(b, a.GetValue()));
}
if (b.ElementCount == 1)
{
return(Add(a, b.GetValue()));
}
CheckShape(a, b);
var result = a.GetSameShape();
Add(a, b, result);
return(result);
}
