Returns both the total and the correction term, as a namedtuple,
representing the sum in higher precision as total - correction.
A practical use-case is computing the difference of two large (magnitude) sums
we expect to be nearly equal. If instead we take their difference as
(s0.total - s1.total) - (s0.correction - s1.correction), we can retain more
precision in computing their difference.
Note that total holds all the high-order bits of the sum, so the correction
can be safely neglected if further enhanced precision computations are not
required.
Args
input_tensor
The tensor to sum.
axis
One of None, a Python int, or a sequence of Python int. The axes
to be reduced. None is taken as "reduce all axes".
keepdims
Python bool indicating whether we return a tensor with singleton
dimensions in the reduced axes (True), or squeeze the axes out (default,
False).