code: def __init__(self, config):
      super().__init__(config)
      self.config = config
  
      self.backbone = AutoBackbone.from_config(config.backbone_config)
      self.decoder = VitMatteDetailCaptureModule(config)
  
      # Initialize weights and apply final processing
      self.post_init()
  
imports: from dataclasses import dataclass
  from typing import Optional, Tuple
  import torch
  from torch import nn
  from ...None import AutoBackbone
  from ...modeling_utils import PreTrainedModel
  from ...utils import ModelOutput, add_start_docstrings, add_start_docstrings_to_model_forward, replace_return_docstrings
  from .configuration_vitmatte import VitMatteConfig
label_desc: Use image node_id 1 to create a new VitMatteForImageMatting object from inherited base classes: VitMattePreTrainedModel with example: obj = VitMatteForImageMatting(config)