code: def __init__(self, hidden_size, num_classes):
      super(SetrSegmentationHead, self).__init__()
      args = get_args()
      self.hidden_size = hidden_size
      self.num_classes = num_classes
      self.img_h = args.img_h
      self.img_w = args.img_w
      self.patch_dim = args.patch_dim
  
      self.layernorm = LayerNorm(
          hidden_size, eps=args.layernorm_epsilon
      )
      self.conv_0 = torch.nn.Conv2d(
          hidden_size, hidden_size, 1, 1, bias=False
      )
      self.norm_0 = apex.parallel.SyncBatchNorm(hidden_size)
      self.conv_1 = torch.nn.Conv2d(hidden_size, num_classes, 1, 1)
  
imports: import math
  import einops
  import torch
  import apex
  import torch.nn.functional
  from megatron import get_args
  from megatron.model import LayerNorm
  from megatron.model.module import MegatronModule
  from megatron.model.vision.utils import resize
label_desc: Use image node_id 1 to create a new SetrSegmentationHead object from inherited base classes: MegatronModule with example: obj = SetrSegmentationHead(hidden_size, num_classes)