class_docstr: Apply max pooling over the nodes in the graph.
  
  .. math::
      r^{(i)} = \max_{k=1}^{N_i} \left( x^{(i)}_k \right)
code: def __repr__(self):
      return "MaxPooling()"
  
imports: from mxnet import gluon, nd
  from mxnet.gluon import nn
  from ...readout import broadcast_nodes, max_nodes, mean_nodes, softmax_nodes, sum_nodes, topk_nodes
label_desc: Use image node_id 3 for calling the MaxPooling obj's underlying member method code with example usage: obj.__repr__() and returns: str