class_docstr: Layer normalization.
class_docstr_tok: ["Layer","normalization","."]
code: def __init__(self, center=True, epsilon=1e-6):
      super().__init__()
      self._epsilon = epsilon
      self._center = center
  
imports: from trax.fastmath import numpy
  from trax.layers import base
label_desc: Use image node_id 1 to create a new LayerNorm object from inherited base classes: base with example: obj = LayerNorm(center, epsilon)