mars.tensor.logical_or#

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

Compute the truth value of x1 OR x2 element-wise.

Parameters

  • x1 (array_like) – Logical OR is applied to the elements of x1 and x2. They have to be of the same shape.

  • x2 (array_like) – Logical OR is applied to the elements of x1 and x2. They have to be of the same shape.

  • 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

y – Boolean result with the same shape as x1 and x2 of the logical OR operation on elements of x1 and x2.

Return type

Tensor or bool

See also

logical_and, logical_not, logical_xor, bitwise_or

Examples

>>> import mars.tensor as mt

>>> mt.logical_or(True, False).execute()
True
>>> mt.logical_or([True, False], [False, False]).execute()
array([ True, False])

>>> x = mt.arange(5)
>>> mt.logical_or(x < 1, x > 3).execute()
array([ True, False, False, False,  True])