mars.tensor.less_equal¶

mars.tensor.
less_equal
(x1, x2, out=None, where=None, **kwargs)[source]¶ Return the truth value of (x1 =< x2) elementwise.
 Parameters
x1 (array_like) – Input tensors. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which may be the shape of one or the other).x2 (array_like) – Input tensors. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which may be the shape of one or the other).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 freshlyallocated 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.
**kwargs –
 Returns
out – Array of bools, or a single bool if x1 and x2 are scalars.
 Return type
bool or tensor of bool
See also
Examples
>>> import mars.tensor as mt
>>> mt.less_equal([4, 2, 1], [2, 2, 2]).execute() array([False, True, True])