public void CopyFrom(ArraySubCollection <T> source)
{
this.TheArray = source.TheArray;
this.StartOffset = source.StartOffset;
this.NumberSubArrays = source.NumberSubArrays;
this.SubArrayChunkSize = source.SubArrayChunkSize;
}
public void DeepCopyTo(ArraySubCollection <T> target)
{
target.CopyFrom(this);
target.TheArray = new T[this.TheArray.Length];
Array.Copy(TheArray, target.TheArray, TheArray.Length);
}
public static TensorOld <double> Dot(this TensorOld <double> t1, TensorOld <double> t2)
{
if (t1.NumberDimensions > 2 || t2.NumberDimensions > 2)
{
throw new ProgrammingError("Dot product is not defined for tensors more that dimension 2");
}
if (t1.NumberDimensions == 1)
{
t1 = t1.Reshape(t1.Len, 1);
}
if (t2.NumberDimensions == 1)
{
t2.Reshape(1, t2.Len);
}
if (t1.ShapeDimensions[1] != t2.ShapeDimensions[0])
{
throw new ProgrammingError($"number of colums of the first matrix '{t1.ShapeDimensions[1]}' is not equal to the number of rows of the second: '{t2.ShapeDimensions[0]}'");
}
int convolutionSize = t1.ShapeDimensions[1];
TensorOld <double> result = new TensorOld <double>(new[] { t1.ShapeDimensions[0], t2.ShapeDimensions[1] });
int numRows = t1.ShapeDimensions[0];
int numCols = t2.ShapeDimensions[1];
for (int col = 0; col < numCols; col++)
{
result.GetTensorSpan(1, col);
for (int row = 0; row < numRows; row++)
{
ArraySubCollection <double> iter1 = t1.GetTensorSpan(1, row);
ArraySubCollection <double> iter2 = t2.GetTensorSpan(0, 0, col);
double cellValue = 0;
for (int i = 0; i < convolutionSize; i++)
{
cellValue += iter1[i] * iter2[i];
}
}
}
return(result);
}
public static void Test()
{
int len = 30;
int[] array = new int[len];
for (int i = 0; i < len; i++)
{
array[i] = i;
}
TensorData <int> tensorData = new TensorData <int>(array, new[] { 2, 3, 5 });
tensorData.TheDimensionsPermutations = new Permutation(0, 1, 2);
ArraySubCollection <int> coll1 = new ArraySubCollection <int>(array, tensorData.TotalShapeDimensionChunkSizes[0], 0, tensorData.TotalSpaceDimensions[0]);
ArraySubIter <int> iter1 = coll1.GetIter();
List <int> arrayOfNumbers = new List <int>();
while (iter1.MoveNext())
{
Console.Write("[");
var iter2 = iter1.GetSubArray(tensorData.TotalSpaceDimensions[1], tensorData.TotalShapeDimensionChunkSizes[1]).GetIter();
while (iter2.MoveNext())
{
var iter3 = iter2.GetSubArray(tensorData.TotalSpaceDimensions[2], tensorData.TotalShapeDimensionChunkSizes[2]).GetIter();
bool isFirst = true;
Console.Write("[");
while (iter3.MoveNext())
{
arrayOfNumbers.Add(iter3.Current);
if (!isFirst)
{
Console.Write(", ");
}
Console.Write(iter3.Current);
isFirst = false;
}
Console.Write("]\n");
}
Console.Write("]\n");
}
}
public ArraySubIter(ArraySubCollection <T> collection) : base(collection)
{
Reset();
}
public ArraySubCollection(ArraySubCollection <T> tensorSpan)
{
this.CopyFrom(tensorSpan);
}
