docstr: Apply the RMSNorm normalization to the input tensor.
  
  Args:
      x (torch.Tensor): The input tensor.
  
  Returns:
      torch.Tensor: The normalized tensor.
code: def _norm(self, x):
      """
      Apply the RMSNorm normalization to the input tensor.
  
      Args:
          x (torch.Tensor): The input tensor.
  
      Returns:
          torch.Tensor: The normalized tensor.
  
      """
      return x * torch.rsqrt(x.pow(2).mean(-1, keepdim=True) + self.eps)
  
file_path: mixtral-kit/mixtralkit/layers/norm.py
imports: import torch
  from typing import Optional, Tuple
  from torch import nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the RMSNorm obj's underlying member method code with example usage: obj._norm(x) and returns: unknown