code: def not_equal(x1, x2, out=None, where=None, **kwargs):
      """
      Return (x1 != x2) element-wise.
  
      Parameters
      ----------
      x1, 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
  
      Returns
      -------
      not_equal : tensor bool, scalar bool
        For each element in `x1, x2`, return True if `x1` is not equal
        to `x2` and False otherwise.
  
  
      See Also
      --------
      equal, greater, greater_equal, less, less_equal
  
      Examples
      --------
      >>> 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]])
      """
      op = TensorNotEqual(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/not_equal.py
imports: import numpy
  from ...None import opcodes
  from ..utils import inject_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: not_equal(x1, x2, out, where) and returns: op