code: def max_pool(self, inp, k_h, k_w, s_h, s_w, name, padding="SAME"):
      self.validate_padding(padding)
      return tf.nn.max_pool(
          inp,
          ksize=[1, k_h, k_w, 1],
          strides=[1, s_h, s_w, 1],
          padding=padding,
          name=name,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import cv2
  import os
  import inspect
label_desc: Use image node_id 11 for calling the Network obj's underlying member method code with example usage: obj.max_pool(inp, k_h, k_w, s_h, s_w, name, padding) and returns: tf