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

Return (x1 != x2) element-wise.

  • x1 (array_like) – Input tensors.

  • x2 (array_like) – Input tensors.

  • 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


not_equal – For each element in x1, x2, return True if x1 is not equal to x2 and False otherwise.

Return type

tensor bool, scalar bool


>>> import mars.tensor as mt
>>> mt.not_equal([1.,2.], [1., 3.]).execute()
array([False,  True])
>>> mt.not_equal([1, 2], [[1, 3],[1, 4]]).execute()
array([[False,  True],
       [False,  True]])