code: def __init__(self, config: IdeficsVisionConfig):
      super().__init__()
      self.config = config
      embed_dim = config.hidden_size
  
      self.embeddings = IdeficsVisionEmbeddings(config)
      self.pre_layrnorm = nn.LayerNorm(
          embed_dim, eps=config.layer_norm_eps
      )
      self.encoder = IdeficsVisionEncoder(config)
      self.post_layernorm = nn.LayerNorm(
          embed_dim, eps=config.layer_norm_eps
      )
  
imports: import math
  from dataclasses import dataclass
  from typing import Optional, Tuple, Union
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from ...activations import ACT2FN
  from ...modeling_outputs import BaseModelOutput, BaseModelOutputWithPooling
  from ...utils import ModelOutput, logging
  from .configuration_idefics import IdeficsVisionConfig
label_desc: Use image node_id 1 to create a new IdeficsVisionTransformer object from inherited base classes: nn with example: obj = IdeficsVisionTransformer(config)