code: def __init__(self, config, pre_process=True, post_process=True):
      super(VitInpaintingModel, self).__init__()
      args = get_args()
  
      self.config = config
      self.pre_process = pre_process
      self.post_process = post_process
      self.hidden_size = config.hidden_size
      self.backbone = VitBackbone(
          config=config,
          pre_process=self.pre_process,
          post_process=self.post_process,
          class_token=False,
      )
      self.patch_dim = args.patch_dim
      self.img_h = args.img_h
      self.img_w = args.img_w
      self.seq_length = args.seq_length
      # full mask
  
      if self.post_process:
          self.linear_decoder = get_linear_layer(
              self.hidden_size,
              self.backbone.flatten_dim,
              torch.nn.init.zeros_,
          )
  
imports: import math
  import apex
  import einops
  import torch
  import torch.nn.functional
  from megatron import get_args, print_rank_0
  from megatron.model.utils import get_linear_layer
  from megatron.model.vision.vit_backbone import VitBackbone
  from megatron.model.module import MegatronModule
  from megatron.model.vision.mit_backbone import mit_b3
  from megatron.model.vision.utils import resize
label_desc: Use image node_id 1 to create a new VitInpaintingModel object from inherited base classes: MegatronModule with example: obj = VitInpaintingModel(config, pre_process, post_process)