/// <summary>
/// Abses the minimum maximum.
/// </summary>
/// <param name="storage">The storage.</param>
/// <param name="tensor">The tensor.</param>
/// <returns>Tuple<System.Double, System.Double>.</returns>
private static Tuple <double, double> AbsMinMax(Storage storage, NDArray tensor)
{
if (storage.ElementCount == 0)
{
return(Tuple.Create(0.0, 0.0));
}
double min = storage.GetElementAsFloat(0);
double max = storage.GetElementAsFloat(0);
// HACK this is a hacky way of iterating over the elements of the tensor.
// if the tensor has holes, this will incorrectly include those elements
// in the iteration.
var minOffset = tensor.StorageOffset;
var maxOffset = minOffset + TensorDimensionHelpers.GetStorageSize(tensor.Shape, tensor.Strides) - 1;
for (long i = minOffset; i <= maxOffset; ++i)
{
var item = storage.GetElementAsFloat(i);
if (item < min)
{
min = item;
}
if (item > max)
{
max = item;
}
}
return(Tuple.Create(Math.Abs(min), Math.Abs(max)));
}
/// <summary>
/// Initializes a new instance of the <see cref="NDArray"/> class.
/// </summary>
/// <param name="allocator">The allocator.</param>
/// <param name="elementType">Type of the element.</param>
/// <param name="sizes">The sizes.</param>
/// <param name="strides">The strides.</param>
public NDArray(IAllocator allocator, DType elementType, long[] sizes, long[] strides)
{
this.shape = sizes;
this.strides = strides;
this.storageOffset = 0;
this.storage = allocator.Allocate(elementType, TensorDimensionHelpers.GetStorageSize(sizes, strides));
}
/// <summary>
/// Determines whether [is int only] [the specified storage].
/// </summary>
/// <param name="storage">The storage.</param>
/// <param name="tensor">The tensor.</param>
/// <returns><c>true</c> if [is int only] [the specified storage]; otherwise, <c>false</c>.</returns>
private static bool IsIntOnly(Storage storage, NDArray tensor)
{
// HACK this is a hacky way of iterating over the elements of the tensor.
// if the tensor has holes, this will incorrectly include those elements
// in the iteration.
var minOffset = tensor.StorageOffset;
var maxOffset = minOffset + TensorDimensionHelpers.GetStorageSize(tensor.Shape, tensor.Strides) - 1;
for (long i = minOffset; i <= maxOffset; ++i)
{
var value = Convert.ToDouble((object)storage.GetElementAsFloat(i));
if (value != Math.Ceiling(value))
{
return(false);
}
}
return(true);
}