code: def __init__(self, loss_config: AttrDict):
      super().__init__()
  
      # Store loss configuration for DINOHook to access
      self.teacher_momentum = loss_config["momentum"]
      self.teacher_temp_min = loss_config["teacher_temp_min"]
      self.teacher_temp_max = loss_config["teacher_temp_max"]
      self.teacher_temp_warmup_iters = loss_config[
          "teacher_temp_warmup_iters"
      ]
      self.crops_for_teacher = loss_config["crops_for_teacher"]
      self.loss_config = loss_config
  
      # Momentum teacher related attributes
      self.momentum_teacher = None
      self.checkpoint = None
      self.teacher_output = None
      self.teacher_temp = None
  
      # Loss center related attributes
      self.is_distributed = is_distributed_training_run()
      self.use_gpu = get_cuda_device_index() > -1
      self.register_buffer(
          "center", torch.zeros(1, loss_config["output_dim"])
      )
  
imports: import logging
  import pprint
  from typing import List
  import torch
  import torch.distributed
  import torch.nn.functional
  from classy_vision.generic.distributed_util import get_cuda_device_index, get_world_size, is_distributed_training_run
  from classy_vision.losses import ClassyLoss, register_loss
  from fairscale.nn import FullyShardedDataParallel
  from vissl.config import AttrDict
  from vissl.models.model_helpers import get_no_ddp_model
label_desc: Use image node_id 1 to create a new DINOLoss object from inherited base classes: ClassyLoss with example: obj = DINOLoss(loss_config)