code: def greater_equal(x1, x2, out=None, where=None, **kwargs):
      """
      Return the truth value of (x1 >= x2) element-wise.
  
      Parameters
      ----------
      x1, x2 : array_like
          Input tensors.  If ``x1.shape != x2.shape``, they must be
          broadcastable to a common shape (which may be the shape of one or
          the other).
      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 : bool or Tensor of bool
          Array of bools, or a single bool if `x1` and `x2` are scalars.
  
      See Also
      --------
      greater, less, less_equal, equal, not_equal
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.greater_equal([4, 2, 1], [2, 2, 2]).execute()
      array([ True, True, False])
      """
      op = TensorGreaterEqual(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/greater_equal.py
imports: import numpy
  from ...None import opcodes
  from ..utils import inject_dtype
  from .utils import arithmetic_operand
  from .core import TensorBinOp
label_desc: Use image node_id 1 for calling a global function with example usage: greater_equal(x1, x2, out, where) and returns: op