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: Initialized the learned constant layer.
docstr_tok: ["Initialized","the","learned","constant","layer","."]
code: def __init__(self, shape: Sequence[int] = (4, 4, 512), **kwargs):
      """Initialized the learned constant layer."""
      super().__init__(**kwargs)
      self._shape = shape
  
imports: import math
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union, List
  import numpy
  import tensorflow
label_desc: Use image node_id 1 to create a new LearnedConstant object from inherited base classes: tf.keras.layers with example: obj = LearnedConstant(shape)