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));
}
}
/// <summary>
/// Create a NDStorage by data type and array shape
/// </summary>
/// <param name="dtype">The type of arrays elements</param>
/// <param name="shape">The shape of array/param>
/// <returns>The constructed NDStorage</returns>
public static NDStorage CreateByShapeAndType(Type dtype, Shape shape)
{
var storage = new NDStorage(dtype);
storage.Shape = shape;
storage.Allocate(shape.Size);
return(storage);
}
public object Clone()
{
var puffer = new NDStorage();
puffer.Allocate(_DType, new Shape(_Shape.Dimensions), _TensorLayout);
puffer.SetData((Array)_values.Clone());
return(puffer);
}
/// <summary>
/// Constructor which initialize elements with 0
/// type and shape are given.
/// </summary>
/// <param name="dtype">internal data type</param>
/// <param name="shape">Shape of NDArray</param>
public NDArray(Type dtype, Shape shape)
{
Storage = new NDStorage();
Storage.Allocate(dtype, shape, 1);
}
