code: def forward(self, x):
      output = self._norm(x.float()).type_as(x)
      if self.weight is not None:
          output = output * self.weight
      return output.type_as(x)
  
file_path: xformers/tests/test_rmsnorm.py
imports: from contextlib import nullcontext
  from typing import Optional
  import pytest
  import torch
  from torch import nn
  from xformers.ops import RMSNorm
  from .utils import assert_allclose
label_desc: Use image node_id 3 for calling the RMSNormPytorch obj's underlying member method code with example usage: obj.forward(x) and returns: output