/// <summary>
/// 垂直方向连接张量，加在下方，外层列数必须一致
/// </summary>
/// <param name="down"></param>
/// <param name="name"></param>
/// <returns></returns>
public Tensor VerticalConcat(Tensor down, string name = null)
{
if (this.DimensionY != down.DimensionY)
{
throw new Exception("要连接的张量外层维度不一致");
}
//Matrix<double>[,] newStorage = new Matrix<double>[this.DimensionX + down.DimensionX, this.DimensionY];
//for (int i = 0; i <= this.DimensionX - 1; i++)
//{
// for (int j = 0; j <= this.DimensionY - 1; j++)
// {
// newStorage[i, j] = this.Storage[i, j];
// }
//}
//for (int i = 0; i <= down.DimensionX - 1; i++)
//{
// for (int j = 0; j <= this.DimensionY - 1; j++)
// {
// newStorage[i + this.DimensionX, j] = down.Storage[i, j];
// }
//}
return(TensorBuilder.FromRowMajorIEnumerable(DimensionX + down.DimensionX, DimensionY, Storage.ToRowArray().Concat(down.Storage.ToRowArray())));
//return new Tensor(newStorage, name);
//var newStorage = this.Storage.ToRowArray().Concat(down.Storage.ToRowArray());
//return TensorBuilder.FromRowMajorIEnumerable(this.DimensionX + down.DimensionX, this.DimensionY, newStorage);
}
/// <summary>
/// 外层行切片，包括下标stop处的数据
/// </summary>
/// <param name="start"></param>
/// <param name="stop"></param>
/// <param name="step"></param>
/// <param name="name"></param>
/// <returns></returns>
public Tensor RowSlice(int start, int stop, int step, string name = null)
{
List <Matrix <double> > list = new List <Matrix <double> >();
int x = 0;//记录新张量的外层行数
for (int i = start; i <= stop; i = i + step)
{
for (int j = 0; j <= DimensionY - 1; j++)
{
list.Add(Storage[i, j]);
}
x++;
}
return(TensorBuilder.FromRowMajorIEnumerable(x, DimensionY, list, name));
}
/// <summary>
/// 水平方向连接张量，加在右方，外层行数必须一致
/// </summary>
/// <param name="right"></param>
/// <param name="name"></param>
/// <returns></returns>
public Tensor HorizontalConcat(Tensor right, string name = null)
{
if (this.DimensionX != right.DimensionX)
{
throw new Exception("要连接的张量外层维度不一致");
}
//Matrix<double>[,] newStorage = new Matrix<double>[this.DimensionX , this.DimensionY+right.DimensionY];
//for (int i = 0; i <= this.DimensionX - 1; i++)
//{
// for (int j = 0; j <= this.DimensionY - 1; j++)
// {
// newStorage[i, j] = this.Storage[i, j];
// }
//}
//for (int i = 0; i <= this.DimensionX - 1; i++)
//{
// for (int j = 0; j <= right.DimensionY- 1; j++)
// {
// newStorage[i , j+this.DimensionY] = right.Storage[i, j];
// }
//}
//return new Tensor(newStorage, name);
return(TensorBuilder.FromRowMajorIEnumerable(DimensionX, DimensionY + right.DimensionY, Storage.ToRowArray().Concat(right.Storage.ToColumnArray())));
}
