class_docstr: This layer normalizes embeddings to unit length
code: def __init__(self):
      super(Normalize, self).__init__()
  
file_path: sentence-transformers/sentence_transformers/models/Normalize.py
imports: from torch import Tensor
  from torch import nn
  from typing import Dict
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: nn with example: obj = Normalize()