code: def __init__(self, in_features: int, out_features: int) -> None:
      super().__init__(in_features, out_features, bias=True)
  
file_path: towhee/towhee/models/clip/auxilary.py
imports: import warnings
  from typing import Tuple, Optional
  import torch
  from torch import Tensor
  from torch.nn.init import xavier_uniform_
  from torch.nn.init import constant_
  from torch.nn.init import xavier_normal_
  from torch.nn.parameter import Parameter
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new _LinearWithBias object from inherited base classes: torch.nn with example: obj = _LinearWithBias(in_features, out_features)