code: def forward(self, input, params=None):
      if params is None:
          params = OrderedDict(self.named_parameters())
      weight = params.get("weight", None)
      bias = params.get("bias", None)
      return F.layer_norm(
          input, self.normalized_shape, weight, bias, self.eps
      )
  
file_path: pytorch-meta/torchmeta/modules/normalization.py
imports: import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
  from torchmeta.modules.module import MetaModule
label_desc: Use image node_id 1 for calling the MetaLayerNorm obj's underlying member method code with example usage: obj.forward(input, params) and returns: F