class_docstr: Encoding stage applying clipping by norm (L-2 ball projection).
  
  See `tf.clip_by_norm` for more information.
class_docstr_tok: ["Encoding","stage","applying","clipping","by","norm","(","L-2","ball","projection",")",".","See","`","tf.clip_by_norm","`","for","more","information","."]
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def name(self):
      """See base class."""
      return "clip_by_norm"
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import encoding_stage
label_desc: Use image node_id 2 for calling the ClipByNormEncodingStage obj's underlying member method code with example usage: obj.name() and returns: str