public void FromMultiDimArray(Array dotNetArray)
{
if (dotNetArray.GetType().GetElementType().IsArray)
{
throw new Exception("Jagged arrays are not allowed here!");
}
int[] dims = new int[dotNetArray.Rank];
for (int idx = 0; idx < dims.Length; idx++)
{
dims[idx] = dotNetArray.GetLength(idx);
}
Storage = new NDStorage();
Storage.Allocate(dotNetArray.GetType().GetElementType(), new Shape(dims), 1);
Array internalStrg = Storage.GetData();
var pufferShape = new Shape(dims);
pufferShape.ChangeTensorLayout(2);
int[] idxDims = null;
object valueIdx = null;
for (int idx = 0; idx < Storage.Shape.Size; idx++)
{
idxDims = pufferShape.GetDimIndexOutShape(idx);
valueIdx = dotNetArray.GetValue(pufferShape.GetDimIndexOutShape(idx));
internalStrg.SetValue(valueIdx, Storage.Shape.GetIndexInShape(idxDims));
}
}
public void FromJaggedArray(Array dotNetArray)
{
if (!dotNetArray.GetType().GetElementType().IsArray)
{
throw new Exception("Multi dim arrays are not allowed here!");
}
List <int> dimList = new List <int>();
dimList.Add(dotNetArray.Length);
object currentArr = dotNetArray;
while (currentArr.GetType().GetElementType().IsArray)
{
Array child = (Array)((Array)currentArr).GetValue(0);
dimList.Add(child.Length);
currentArr = child;
}
Type elementType = currentArr.GetType().GetElementType();
int[] dims = dimList.ToArray();
Shape shape = new Shape(dims);
shape.ChangeTensorLayout(1);
NDArray nd = new NDArray(elementType, shape);
Array ndStrg = nd.Storage.GetData();
for (int idx = 0; idx < shape.Size; idx++)
{
int[] indexes = shape.GetDimIndexOutShape(idx);
Array puffer = (Array)dotNetArray.GetValue(indexes[0]);
for (int jdx = 1; jdx < indexes.Length - 1; jdx++)
{
puffer = (Array)puffer.GetValue(indexes[jdx]);
}
ndStrg.SetValue(puffer.GetValue(indexes[indexes.Length - 1]), nd.Storage.Shape.GetIndexInShape(indexes));
}
this.Storage = nd.Storage;
}
public Array ToMuliDimArray <T>()
{
Array dotNetArray = Array.CreateInstance(typeof(T), this.shape);
var pufferShape = new Shape(shape);
pufferShape.ChangeTensorLayout(2);
int[] indexes = null;
object idxValue = null;
T[] array = Storage.GetData <T>();
for (int idx = 0; idx < this.size; idx++)
{
indexes = pufferShape.GetDimIndexOutShape(idx);
idxValue = array[Storage.Shape.GetIndexInShape(indexes)];
dotNetArray.SetValue(idxValue, indexes);
}
return(dotNetArray);
}
protected void _ChangeColumnToRowLayout()
{
if (_Shape.NDim == 1)
{
}
else if (_Shape.NDim == 2)
{
var puffer = Array.CreateInstance(_values.GetType().GetElementType(), _values.Length);
var pufferShape = new Shape(_Shape.Dimensions);
pufferShape.ChangeTensorLayout(1);
for (int idx = 0; idx < _values.Length; idx++)
{
puffer.SetValue(_values.GetValue(idx), pufferShape.GetIndexInShape(Shape.GetDimIndexOutShape(idx)));
}
_values = puffer;
}
else
{
var puffer = Array.CreateInstance(_values.GetType().GetElementType(), _values.Length);
var pufferShape = new Shape(_Shape.Dimensions);
pufferShape.ChangeTensorLayout(1);
for (int idx = 0; idx < _values.Length; idx++)
{
puffer.SetValue(_values.GetValue(idx), pufferShape.GetIndexInShape(Shape.GetDimIndexOutShape(idx)));
}
_values = puffer;
}
_TensorLayout = 1;
Shape.ChangeTensorLayout(1);
}