class_docstr: ConvNet model.
class_docstr_tok: ["ConvNet","model","."]
docstr: Wrapper on _myAvgPool, when average pool is used by-itself as a layer.
docstr_tok: ["Wrapper","on","_myAvgPool",",","when","average","pool","is","used","by-itself","as","a","layer","."]
code: def _avg_pool_layer(self, x, pool_size, stride):
      """Wrapper on _myAvgPool, when average pool is used by-itself as a layer."""
      with tf.name_scope("avg_pool") as name_scope:
          x = self._myAvgPool(x, pool_size, stride)
      tf.logging.info(
          "image after unit %s: %s", name_scope, x.get_shape()
      )
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 13 for calling the ConvNet obj's underlying member method code with example usage: obj._avg_pool_layer(x, pool_size, stride) and returns: x