code: def __init__(
      self,
      normalized_shape,
      eps=1e-5,
      *,
      memory_efficient=False,
      **kwargs,
  ):
      if "elementwise_affine" in kwargs:
          import warnings
  
          warnings.warn(
              "MixedFusedRMSNorm does not support `elementwise_affine` argument"
          )
          elementwise_affine = kwargs.pop("elementwise_affine")
          if not elementwise_affine:
              raise RuntimeError(
                  "MixedFusedRMSNorm does not support `elementwise_affine = False`"
              )
  
      super().__init__(
          normalized_shape=normalized_shape,
          eps=eps,
          elementwise_affine=True,
          memory_efficient=memory_efficient,
      )
  
imports: import importlib
  import numbers
  import torch
  from torch.nn.parameter import Parameter
  from torch.nn import init
  from torch.nn import functional
  from apex._autocast_utils import _cast_if_autocast_enabled
label_desc: Use image node_id 1 to create a new MixedFusedRMSNorm object from inherited base classes: FusedRMSNorm with example: obj = MixedFusedRMSNorm(normalized_shape, eps)