class_docstr: Subclass torch's LayerNorm to handle fp16.
code: def forward(self, x):  # pylint: disable=W0237
      orig_type = x.dtype
      ret = super().forward(x.type(torch.float32))
      return ret.type(orig_type)
  
imports: import os
  import warnings
  from collections import OrderedDict
  from typing import Tuple, Union, Callable
  import numpy
  from PIL import Image
  import torch
  from torch import nn
  from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
  from towhee.models.utils.download import download_from_url
  from towhee.models.clip.clip_utils import get_configs, convert_weights, patch_device, patch_float, tokenize
  from towhee.models.clip.auxilary import multi_head_attention_forward, MultiheadAttention
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