docstr: Perform forward pass of the LayerNorm layer.
  
  Parameters
  ----------
  inputs
      Inputs to process.
  
  Returns
  -------
  ret
      The outputs following the layer normalization operation.
docstr_tok: ["Perform","forward","pass","of","the","LayerNorm","layer",".","Parameters","--","--","--","--","--","inputs","Inputs","to","process",".","Returns","--","--","--","-","ret","The","outputs","following","the","layer","normalization","operation","."]
code: def _forward(self, inputs):
      """Perform forward pass of the LayerNorm layer.
  
      Parameters
      ----------
      inputs
          Inputs to process.
  
      Returns
      -------
      ret
          The outputs following the layer normalization operation.
      """
      return ivy.layer_norm(
          inputs,
          self._normalized_idxs,
          eps=self._epsilon,
          scale=self.v.weight if self._elementwise_affine else None,
          offset=self.v.bias if self._elementwise_affine else None,
          new_std=self._new_std,
      )
  
file_path: ivy/ivy/stateful/norms.py
imports: import ivy
  from ivy.stateful.module import Module
  from ivy.stateful.initializers import Zeros, Ones
label_desc: Use image node_id 3 for calling the LayerNorm obj's underlying member method code with example usage: obj._forward(inputs) and returns: ivy