public Tensor empty(NumSharp.Shape sizes, Tensor @out = null, dtype?dtype = null, layout?layout = null, device?device = null, bool?requires_grad = null, bool?pin_memory = null)
{
//auto-generated code, do not change
var args = ToTuple(new object[]
{
sizes,
});
var kwargs = new PyDict();
if (@out != null)
{
kwargs["out"] = ToPython(@out);
}
if (dtype != null)
{
kwargs["dtype"] = ToPython(dtype);
}
if (layout != null)
{
kwargs["layout"] = ToPython(layout);
}
if (device != null)
{
kwargs["device"] = ToPython(device);
}
if (requires_grad != null)
{
kwargs["requires_grad"] = ToPython(requires_grad);
}
if (pin_memory != null)
{
kwargs["pin_memory"] = ToPython(pin_memory);
}
dynamic py = self.InvokeMethod("empty", args, kwargs);
return(ToCsharp <Tensor>(py));
}
public static Tensor empty(NumSharp.Shape sizes, Tensor @out = null, dtype?dtype = null, layout?layout = null, device?device = null, bool?requires_grad = null, bool?pin_memory = null) => PyTorch.Instance.empty(sizes, @out: @out, dtype: dtype, layout: layout, device: device, requires_grad: requires_grad, pin_memory: pin_memory);
protected void autoresetDefault_UInt16()
{
if (typeof(TOut) == typeof(UInt16))
{
autoresetDefault_NoCast();
return;
}
var localBlock = Block;
Shape shape = Shape;
var convert = Converts.FindConverter <UInt16, TOut>();
if (!Shape.IsContiguous || Shape.ModifiedStrides)
{
//Shape is sliced, auto-resetting
switch (Type)
{
case IteratorType.Scalar:
{
var offset = shape.TransformOffset(0);
if (offset != 0)
{
MoveNext = () => convert(*((UInt16 *)localBlock.Address + offset));
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
}
else
{
MoveNext = () => convert(*((UInt16 *)localBlock.Address));
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
}
Reset = () => { };
HasNext = () => true;
break;
}
case IteratorType.Vector:
{
var size = Shape.size;
MoveNext = () =>
{
var ret = convert(*((UInt16 *)localBlock.Address + shape.GetOffset(index++)));
if (index >= size)
{
index = 0;
}
return(ret);
};
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
Reset = () => index = 0;
HasNext = () => true;
break;
}
case IteratorType.Matrix:
case IteratorType.Tensor:
{
var iterator = new NDCoordinatesIncrementor(ref shape, incr => incr.Reset());
var index = iterator.Index;
Func <int[], int> getOffset = shape.GetOffset;
MoveNext = () =>
{
var ret = convert(*((UInt16 *)localBlock.Address + getOffset(index)));
iterator.Next();
return(ret);
};
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
Reset = () => iterator.Reset();
HasNext = () => true;
break;
}
default:
throw new ArgumentOutOfRangeException();
}
}
else
{
//Shape is not sliced, auto-resetting
switch (Type)
{
case IteratorType.Scalar:
MoveNext = () => convert(*(UInt16 *)localBlock.Address);
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
Reset = () => { };
HasNext = () => true;
break;
case IteratorType.Vector:
var size = Shape.size;
MoveNext = () =>
{
var ret = convert(*((UInt16 *)localBlock.Address + index++));
if (index >= size)
{
index = 0;
}
return(ret);
};
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
Reset = () => index = 0;
HasNext = () => true;
break;
case IteratorType.Matrix:
case IteratorType.Tensor:
var iterator = new NDOffsetIncrementorAutoresetting(Shape); //we do not copy the dimensions because there is not risk for the iterator's shape to change.
MoveNext = () => convert(*((UInt16 *)localBlock.Address + iterator.Next()));
MoveNextReference = () => throw new NotSupportedException("Unable to return references during iteration when casting is involved.");
HasNext = () => true;
break;
default:
throw new ArgumentOutOfRangeException();
}
}
}