mars.tensor.rint(x, out=None, where=None, **kwargs)[source]

Round elements of the tensor to the nearest integer.

x : array_like
Input tensor.
out : Tensor, None, or tuple of Tensor and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.


out : Tensor or scalar
Output array is same shape and type as x.

ceil, floor, trunc

>>> import mars.tensor as mt
>>> a = mt.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0])
>>> mt.rint(a).execute()
array([-2., -2., -0.,  0.,  2.,  2.,  2.])