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 __init__(self, name=None):  # 'sign',
      super().__init__(name)
      logging.info("Sign  %s" % self.name)
  
      self.build()
      self._built = True
  
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 1 to create a new Sign object from inherited base classes: Layer with example: obj = Sign(name)