class_docstr: Layer normalization component.
class_docstr_tok: ["Layer","normalization","component","."]
docstr: Construct a layernorm module in the TF style (epsilon inside the square root).
          
docstr_tok: ["Construct","a","layernorm","module","in","the","TF","style","(","epsilon","inside","the","square","root",")","."]
code: def __init__(self, hidden_size, eps=1e-12):
      """Construct a layernorm module in the TF style (epsilon inside the square root)."""
      super().__init__()
      self.weight = nn.Parameter(torch.ones(hidden_size))
      self.bias = nn.Parameter(torch.zeros(hidden_size))
      self.variance_epsilon = eps
  
file_path: towhee/towhee/models/clip4clip/until_module.py
imports: import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 to create a new LayerNorm object from inherited base classes: nn with example: obj = LayerNorm(hidden_size, eps)