class_docstr: Learned constant layer for StyleGAN.
  
  This layer implements the learned constant that is used in "A Style-Based
  Generator Architecture for Generative Adversarial Networks".
  https://arxiv.org/pdf/1812.04948.pdf
class_docstr_tok: ["Learned","constant","layer","for","StyleGAN",".","This","layer","implements","the","learned","constant","that","is","used","in","``","A","Style-Based","Generator","Architecture","for","Generative","Adversarial","Networks","''",".","https",":","\/\/arxiv.org\/pdf\/1812.04948.pdf"]
docstr: Returns the config of the layer.
docstr_tok: ["Returns","the","config","of","the","layer","."]
code: def get_config(self):
      """Returns the config of the layer."""
      config = {"shape": self._shape}
      base_config = super().get_config()
      return dict(list(base_config.items()) + list(config.items()))
  
imports: import math
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union, List
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling the LearnedConstant obj's underlying member method code with example usage: obj.get_config() and returns: dict