mars.tensor.less_equal#

mars.tensor.less_equal(x1, x2, out=None, where=None, **kwargs)[source]#

Return the truth value of (x1 =< x2) element-wise.

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 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.

  • **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

greater, less, greater_equal, equal, not_equal

Examples

>>> import mars.tensor as mt

>>> mt.less_equal([4, 2, 1], [2, 2, 2]).execute()
array([False,  True,  True])