Compute the truth value of x1 AND x2 element-wise.
x1 (array_like) – Input tensors. x1 and x2 must be of the same shape.
x2 (array_like) – Input tensors. x1 and x2 must 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.
y – Boolean result with the same shape as x1 and x2 of the logical
AND operation on corresponding elements of x1 and x2.
Tensor or bool
logical_or, logical_not, logical_xor, bitwise_and
>>> import mars.tensor as mt
>>> mt.logical_and(True, False).execute()
>>> mt.logical_and([True, False], [False, False]).execute()
>>> x = mt.arange(5)
>>> mt.logical_and(x>1, x<4).execute()
array([False, False, True, True, False])