code: def bitor(x1, x2, out=None, where=None, **kwargs):
      """
      Compute the bit-wise OR of two tensors element-wise.
  
      Computes the bit-wise OR of the underlying binary representation of
      the integers in the input arrays. This ufunc implements the C/Python
      operator ``|``.
  
      Parameters
      ----------
      x1, x2 : array_like
          Only integer and boolean types are handled.
      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_like
          Result.
  
      See Also
      --------
      logical_or
      bitwise_and
      bitwise_xor
      binary_repr :
          Return the binary representation of the input number as a string.
  
      Examples
      --------
      The number 13 has the binaray representation ``00001101``. Likewise,
      16 is represented by ``00010000``.  The bit-wise OR of 13 and 16 is
      then ``000111011``, or 29:
  
      >>> import mars.tensor as mt
  
      >>> mt.bitwise_or(13, 16).execute()
      29
  
      >>> mt.bitwise_or(32, 2).execute()
      34
      >>> mt.bitwise_or([33, 4], 1).execute()
      array([33,  5])
      >>> mt.bitwise_or([33, 4], [1, 2]).execute()
      array([33,  6])
  
      >>> mt.bitwise_or(mt.array([2, 5, 255]), mt.array([4, 4, 4])).execute()
      array([  6,   5, 255])
      >>> (mt.array([2, 5, 255]) | mt.array([4, 4, 4])).execute()
      array([  6,   5, 255])
      >>> mt.bitwise_or(mt.array([2, 5, 255, 2147483647], dtype=mt.int32),
      ...               mt.array([4, 4, 4, 2147483647], dtype=mt.int32)).execute()
      array([         6,          5,        255, 2147483647])
      >>> mt.bitwise_or([True, True], [False, True]).execute()
      array([ True,  True])
      """
      op = TensorBitor(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/bitor.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_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: bitor(x1, x2, out, where) and returns: op