code: def maximum(x1, x2):
      """Element-wise maximum of input variables.
  
      Args:
          x1 (:class:`~chainer.Variable` or :ref:`ndarray`):
              Input variables to be compared.
              A :math:`(s_1, s_2, ..., s_N)` -shaped float array.
  
          x2 (:class:`~chainer.Variable` or :ref:`ndarray`):
              Input variables to be compared.
              A :math:`(s_1, s_2, ..., s_N)` -shaped float array.
  
      Returns:
          ~chainer.Variable: Output variable.
  
      .. admonition:: Example
  
          >>> x1 = np.arange(6).astype(np.float32)
          >>> x1
          array([0., 1., 2., 3., 4., 5.], dtype=float32)
          >>> x2 = np.array([5, 4, 3, 2, 1, 0]).astype(np.float32)
          >>> x2
          array([5., 4., 3., 2., 1., 0.], dtype=float32)
          >>> y = F.maximum(x1, x2)
          >>> y.shape
          (6,)
          >>> y.array
          array([5., 4., 3., 3., 4., 5.], dtype=float32)
  
      """
      return Maximum().apply((x1, x2))[0]
  
file_path: chainer/chainer/functions/math/maximum.py
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 1 for calling a global function with example usage: maximum(x1, x2) and returns: Maximum