private NdArray[] ForwardCpu(NdArray x)
{
NdArray[] resultArays = NdArray.Split(x, Indices, Axis);
foreach (var resultArray in resultArays)
{
resultArray.ParentFunc = this;
}
return(resultArays);
}
private void BackwardCpu(NdArray y, NdArray[] xs)
{
int[] prevInputShapes = this._prevInputSections[this._prevInputSections.Count - 1];
this._prevInputSections.RemoveAt(this._prevInputSections.Count - 1);
NdArray[] result = NdArray.Split(y, prevInputShapes, this.Axis);
for (int i = 0; i < xs.Length; i++)
{
for (int j = 0; j < xs[i].Grad.Length; j++)
{
xs[i].Grad[j] += result[i].Grad[j];
}
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////
/// <summary> Backward CPU. </summary>
///
/// <param name="y"> A NdArray to process. </param>
/// <param name="xs"> The xs. </param>
////////////////////////////////////////////////////////////////////////////////////////////////////
private void BackwardCpu([NotNull] NdArray y, [NotNull] NdArray[] xs)
{
int[] prevInputShapes = _prevInputSections[_prevInputSections.Count - 1];
_prevInputSections.RemoveAt(_prevInputSections.Count - 1);
NdArray[] result = NdArray.Split(y, prevInputShapes, Axis);
for (int i = 0; i < xs.Length; i++)
{
for (int j = 0; j < xs[i].Grad.Length; j++)
{
xs[i].Grad[j] += result[i].Grad[j];
}
}
}