docstr: Forward pass through the RMSNorm layer.
  
  Args:
      x (torch.Tensor): The input tensor.
  
  Returns:
      torch.Tensor: The output tensor after applying RMSNorm.
code: def forward(self, x):
      """
      Forward pass through the RMSNorm layer.
  
      Args:
          x (torch.Tensor): The input tensor.
  
      Returns:
          torch.Tensor: The output tensor after applying RMSNorm.
  
      """
      output = self._norm(x.float()).type_as(x)
      return output * self.weight
  
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 3 for calling the RMSNorm obj's underlying member method code with example usage: obj.forward(x) and returns: unknown