public WeightMatrix concatColumns(WeightMatrix m1, WeightMatrix m2)
{
int sx = 1;
int sy = 1;
sy = m1.Columns + m2.Columns;
sx = m1.Rows;
var res = new WeightMatrix(sx, sy, 0);
var n = m1.Weight.Length;
for (var i = 0; i < m1.Rows; i++)
{
for (int j = 0; j < m1.Columns; j++)
{
var el = m1.Get(i, j);
res.Set(i, j, el);
//res.Set_Grad(i, j, 0, m1.Get_Grad(i, j, 0));
}
}
for (var i = 0; i < m2.Rows; i++)
{
for (int j = m1.Columns; j < m2.Columns + m1.Columns; j++)
{
var el = m2.Get(i, j - m1.Columns);
res.Set(i, j, el);
//res.Set_Grad(i, j, 0, m2.Get_Grad(i, j - m1.SY, 0));
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (var i = 0; i < m1.Rows; i++)
{
for (int j = 0; j < m1.Columns; j++)
{
var el = res.Get_Grad(i, j);
m1.Add_Grad(i, j, el);
}
}
for (var i = 0; i < m2.Rows; i++)
{
for (int j = m1.Columns; j < m2.Columns + m1.Columns; j++)
{
var el = res.Get_Grad(i, j);
m2.Add_Grad(i, j - m1.Columns, el);
}
}
};
this.backprop.Add(backward);
}
return(res);
}
public WeightMatrix repeatSX(WeightMatrix m, int p)
{
var res = new WeightMatrix(p, m.Columns, 0);
for (int i = 0; i < p; i++)
{
for (int j = 0; j < m.Columns; j++)
{
res.Set(i, j, m.Get(0, j));
//res.Set_Grad(i, j, 0, m.Get_Grad(0, j, 0));
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (int i = 0; i < p; i++)
{
for (int j = 0; j < m.Columns; j++)
{
m.Add_Grad(0, j, res.Get_Grad(i, j));
}
}
};
this.backprop.Add(backward);
}
return(res);
}
public WeightMatrix mergeSY(List <WeightMatrix> vols)
{
WeightMatrix merged = new WeightMatrix(vols.Count, vols[0].Columns, 0);
for (int j = 0; j < vols.Count; j++)
{
var item = vols[j];
int n = item.Columns;
for (int i = 0; i < n; i++)
{
merged.Set(j, i, item.Weight[i]);
//merged.Set_Grad(j, i, 0, item.DW[i]);
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (int j = 0; j < vols.Count; j++)
{
var item = vols[j];
int n = item.Columns;
for (int i = 0; i < n; i++)
{
item.Gradient[i] += merged.Get_Grad(j, i);
}
}
};
this.backprop.Add(backward);
}
return(merged);
}
public WeightMatrix RepeatRows(WeightMatrix m1, int rows)
{
var res = new WeightMatrix(rows, m1.Columns, 0);
for (var i = 0; i < rows; i++)
{
for (int j = 0; j < m1.Columns; j++)
{
var el = m1.Get(0, j);
res.Set(i, j, el);
// res.Set_Grad(i, j,m1.Get_Grad(i,j));
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (var i = 0; i < rows; i++)
{
for (int j = 0; j < m1.Columns; j++)
{
var el = res.Get_Grad(i, j);
m1.Add_Grad(0, j, el);
}
}
};
this.backprop.Add(backward);
}
return(res);
}
public WeightMatrix concatRows(List <WeightMatrix> m1)
{
var res = new WeightMatrix(m1.Count, m1[0].Columns, 0);
for (var i = 0; i < m1.Count; i++)
{
for (int j = 0; j < m1[i].Columns; j++)
{
var el = m1[i].Get(0, j);
res.Set(i, j, el);
//res.Set_Grad(i, j, 0, m1.Get_Grad(i,j,0));
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (var i = 0; i < m1.Count; i++)
{
for (int j = 0; j < m1[i].Columns; j++)
{
var el = res.Get_Grad(i, j);
m1[i].Add_Grad(0, j, el);
}
}
};
this.backprop.Add(backward);
}
return(res);
}
public WeightMatrix sumColumns(WeightMatrix m1)
{
var res = new WeightMatrix(1, m1.Columns, 0);
for (int x = 0; x < m1.Rows; x++)
{
for (int y = 0; y < m1.Columns; y++)
{
//var ix = ((m1.Columns * x) + y);
//res.Weight[y] += m1.Weight[ix] ;
// res.Add(x, y, m1.Get(x, y) * weightRow.Weight[x]);
res.Add(0, y, m1.Get(x, y));
}
}
if (this.needs_backprop)
{
Action backward = () =>
{
for (int x = 0; x < m1.Rows; x++)
{
for (int y = 0; y < m1.Columns; y++)
{
//var ix = ((m1.Columns * x) + y);
//m1.Gradient[ix] += res.Gradient[y];
m1.Add_Grad(x, y, res.Get_Grad(0, y));
}
}
//for (int i = 0, n = m1.Weight.Length; i < n; i++)
//{
// m1.Gradient[i] += weightRow.Weight[0] * res.Gradient[i];
// weightRow.Gradient[0] += m1.Weight[i] * res.Gradient[i];
//}
};
this.backprop.Add(backward);
}
return(res);
}