class_docstr: Latent normalization.
  
  This class applies Euclidean latent normalization along the second
  dimension prior to a subsequent child operation.
  
  Args:
      child: A child operation to follow normalization within an overall
          recursive tree.
code: def __init__(self, child: Optional[nn.Module] = None):
      super().__init__()
      self.child = child
  
imports: from typing import Optional
  import torch.nn
  import torch.nn.functional
  from neuralcompression import VqVaeAutoencoderOutput
label_desc: Use image node_id 1 to create a new NormalizeLatent object from inherited base classes: nn with example: obj = NormalizeLatent(child)