public double[,,,] forward(double[,,,] input)
{
//获取样本的总数
int sampleCount = input.GetLength(0);
//获取单个样本的深度
int sampleSingleDepth = input.GetLength(1);
//获取特征图的行数（高）
int inputRow = input.GetLength(2);
//获取特征图的列数（宽）
int inputColumn = input.GetLength(3);
//创建最大值的
SingleMaxIndex = new int[sampleCount][][];
int row = (inputRow - PadRow) / Stride + 1;
int column = (inputColumn - PadColumn) / Stride + 1;
var result = new double[sampleCount, sampleSingleDepth, row, column];
for (int sampleIndex = 0; sampleIndex < sampleCount; sampleIndex++)
{
//初始化特征图最大索引对象
SingleMaxIndex[sampleIndex] = new int[sampleSingleDepth][];
//记录特征图的行和列信息
InputShape = new MatrixShape(inputRow, inputColumn);
for (int depth = 0; depth < sampleSingleDepth; depth++)
{
LMatrix pad = im2col(input.GetNextDimVal(sampleIndex, depth, inputRow, inputColumn), row, column, PadRow, PadColumn, Stride);
SingleMaxIndex[sampleIndex][depth] = pad.MaxIndex();
//LMatrix data = pad.Matrix.Select(m => m.Max()).ToArray();
LMatrix data = pad.Max(1);
result.SetDimVal(data.ReShape(row, column), sampleIndex, depth, row, column);
}
}
return(result);
}
public override LMatrix forward(LMatrix x, bool train_flg)
{
Row = x.Row;
Column = x.Column;
LMatrix res = _forward(x, train_flg);
return(res.ReShape(x.Row, x.Column));
}
//protected LMatrix _forward(LMatrix x, WehtInfo info, int kerDepIndex)
//{
// int kernelRow = info.W.Length;
// int kernelColumn = info.W[0].Length;
// int row = (x.Row + 2 * this.Padding - kernelRow) / this.Stride + 1;
// int column = (x.Column + 2 * this.Padding - kernelColumn) / this.Stride + 1;
// if (this._col[kerDepIndex] == null)
// this._col[kerDepIndex] = im2col(x.Matrix, row, column, kernelRow, kernelColumn, Stride);
// LMatrix tW = info.W.Flatten();
// LMatrix _out = _col[kerDepIndex] * tW.T;
// LMatrix res = _out.ReShape(row, column);
// return res;
//}
protected double[,] _forward(double[,] mat, WehtInfo info, int kerDepIndex, int resRow, int resCol)
{
if (this._col[kerDepIndex] == null)
{
this._col[kerDepIndex] = im2col(mat, resRow, resCol, kernelRow, kernelColumn, Stride);
}
LMatrix tW = info.W.Flatten();
LMatrix _out = _col[kerDepIndex] * tW.T;
return(_out.ReShape(resRow, resCol));
}
//protected LMatrix _backward(LMatrix dout, WehtInfo info, int kerDepIndex)
//{
// int kernelRow = info.W.Length;
// int kernelColumn = info.W[0].Length;
// LMatrix dx = dout.Flatten;
// LMatrix _dw = dx * this._col[kerDepIndex];
// if (info.DW == null)
// info.DW = _dw.ReShape(kernelRow, kernelColumn).Matrix;
// else
// info.DW = info.DW.Plus(_dw.ReShape(kernelRow, kernelColumn).Matrix);
// LMatrix tW = info.W.Flatten();
// LMatrix _out = dx.T * tW;
// return col2im(_out.Matrix, Input[kerDepIndex].Length, Input[kerDepIndex][0].Length,
// kernelRow, kernelColumn, Stride);
//}
protected LMatrix _backward(LMatrix dout, WehtInfo info, int kerDepIndex)
{
int kernelRow = info.W.GetLength(0);
int kernelColumn = info.W.GetLength(1);
LMatrix dx = dout.Flatten();
LMatrix _dw = dx * this._col[kerDepIndex];
if (info.DW == null)
{
info.DW = _dw.ReShape(kernelRow, kernelColumn);
}
else
{
info.DW.Plus(_dw.ReShape(kernelRow, kernelColumn), kernelRow, kernelColumn);
}
LMatrix tW = info.W.Flatten();
LMatrix _out = dx.T * tW;
return(col2im(_out.Matrix, _input_dim1, _input_dim2,
kernelRow, kernelColumn, Stride));
}
private void button3_Click(object sender, EventArgs e)
{
// testCustomNet.ResetSGD(this.textBox2.Text);
LMatrix a = new double[3, 4] {
{ 1, 2, 3, 4 },
{ 5, 6, 7, 8 },
{ 9, 10, 11, 12 }
};
LMatrix z = new double[4, 1] {
{ 1 },
{ 5 },
{ 9 },
{ 15 },
};
LMatrix b = a.ReShape(4, 3);
double[,] c = b.ReShape(3, 4);
}