class_docstr: Subclass torch's LayerNorm to handle fp16.
class_docstr_tok: ["Subclass","torch","'s","LayerNorm","to","handle","fp16","."]
code: def forward(self, x: torch.Tensor):
      orig_type = x.dtype
      ret = F.layer_norm(
          x.type(torch.float32),
          self.normalized_shape,
          self.weight,
          self.bias,
          self.eps,
      )
      return ret.type(orig_type)
  
file_path: StableDiffusion/ldm/modules/karlo/kakao/models/clip.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import clip
  from clip.model import CLIP, convert_weights
  from clip.simple_tokenizer import SimpleTokenizer, default_bpe
label_desc: Use image node_id 1 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(x) and returns: ret