class_docstr: The :class:`SignLayer` class is for quantizing the layer outputs to -1 or 1 while inferencing.
  
  Parameters
  ----------
  name : a str
      A unique layer name.
class_docstr_tok: ["The",":","class",":","`","SignLayer","`","class","is","for","quantizing","the","layer","outputs","to","-1","or","1","while","inferencing",".","Parameters","--","--","--","--","--","name",":","a","str","A","unique","layer","name","."]
code: def __repr__(self):
      s = "{classname}("
      if self.name is not None:
          s += ", name='{name}'"
      s += ")"
      return s.format(
          classname=self.__class__.__name__, **self.__dict__
      )
  
file_path: TensorLayer/tensorlayer/layers/quantize.py
imports: import tensorflow
  from tensorlayer import logging
  from tensorlayer.decorators import deprecated_alias
  from tensorlayer.layers.core import Layer
  from tensorlayer.layers.utils import quantize
label_desc: Use image node_id 3 for calling the Sign obj's underlying member method code with example usage: obj.__repr__() and returns: s