code: def forward(self, input):
      return _F.layer_norm(
          input,
          self.normalized_shape,
          self.weight_fake_quant(self.weight)
          if self.elementwise_affine
          else self.weight,
          self.bias,
          self.eps,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .palettization_config import SUPPORTED_PYTORCH_QAT_MODULES
label_desc: Use image node_id 1 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(input) and returns: _F