code: def __init__(self, num_classes, pre_process=True, post_process=True):
      super(SetrSegmentationModel, self).__init__()
      args = get_args()
      assert post_process & pre_process
      self.hidden_size = args.hidden_size
      self.num_classes = num_classes
      self.backbone = VitBackbone(
          pre_process=pre_process,
          post_process=post_process,
          class_token=False,
          post_layer_norm=False,
          drop_path_rate=0.1,
      )
  
      self.head = SetrSegmentationHead(
          self.hidden_size, self.num_classes
      )
  
file_path: megatron-lm/tasks/vision/segmentation/seg_models.py
imports: import math
  import einops
  import torch
  import apex
  import torch.nn.functional
  from megatron import get_args
  from megatron.model.module import MegatronModule
  from megatron.model.vision.vit_backbone import VitBackbone, VitMlpHead
  from megatron.model.vision.mit_backbone import mit_b3, mit_b5
  from tasks.vision.segmentation.seg_heads import SetrSegmentationHead, SegformerSegmentationHead
label_desc: Use image node_id 1 to create a new SetrSegmentationModel object from inherited base classes: MegatronModule with example: obj = SetrSegmentationModel(num_classes, pre_process, post_process)