code: def __init__(
      self, dim, init_values: float = 1e-5, inplace: bool = False
  ):
      super().__init__()
      self.weight = nn.Parameter(init_values * torch.ones(dim))
      self.inplace = inplace
  
imports: from typing import List, Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from torch import nn
  from torchvision.transforms import *
  from transformers import AutoConfig, AutoTokenizer
  from transformers.configuration_utils import PretrainedConfig
  from transformers.modeling_outputs import CausalLMOutputWithPast
  from transformers.modeling_utils import PreTrainedModel
  from transformers.models.auto.modeling_auto import AutoModel, AutoModelForCausalLM
  from transformers.processing_utils import ProcessorMixin
  from transformers.tokenization_utils_base import BatchEncoding
  from uform.models import VisualEncoder
label_desc: Use image node_id 1 to create a new LayerScale object from inherited base classes: nn with example: obj = LayerScale(dim, init_values, inplace)