class_docstr: ConvNet model.
class_docstr_tok: ["ConvNet","model","."]
docstr: Wrapper on _myFullyConnected, when fully connected is used by-itself as a layer.
docstr_tok: ["Wrapper","on","_myFullyConnected",",","when","fully","connected","is","used","by-itself","as","a","layer","."]
code: def _fully_connected_layer(self, x, out_dim):
      """Wrapper on _myFullyConnected, when fully connected is used by-itself as a layer."""
      with tf.name_scope("fully_connected") as name_scope:
          if x.get_shape().ndims == 4:
              x = self._myGlobalAvgPool(x)  # Flatten
          x = self._myFullyConnected(x, out_dim)
      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 10 for calling the ConvNet obj's underlying member method code with example usage: obj._fully_connected_layer(x, out_dim) and returns: x