code: def __init__(self, dim: int, eps: float = 1e-5):
      super().__init__()
      self.eps = eps
      self.weight = nn.Parameter(torch.ones(dim))
  
imports: from dataclasses import dataclass
  from typing import Optional
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new RMSNorm object from inherited base classes: nn with example: obj = RMSNorm(dim, eps)