code: def qforward(self, input: torch.Tensor) -> torch.Tensor:
      return torch.nn.functional.layer_norm(
          input, self.normalized_shape, self.weight, self.bias, self.eps
      )
  
file_path: quanto/quanto/nn/qlayernorm.py
imports: from typing import Optional
  import torch
  from .qmodule import QModuleMixin, register_qmodule
label_desc: Use image node_id 2 for calling the QLayerNorm obj's underlying member method code with example usage: obj.qforward(input) and returns: torch