docstr: Instantiates DINOLoss from configuration.
  
  Args:
      loss_config: configuration for the loss
  
  Returns:
      DINOLoss instance.
docstr_tok: ["Instantiates","DINOLoss","from","configuration",".","Args",":","loss_config",":","configuration","for","the","loss","Returns",":","DINOLoss","instance","."]
code: def from_config(cls, loss_config: AttrDict):
      """
      Instantiates DINOLoss from configuration.
  
      Args:
          loss_config: configuration for the loss
  
      Returns:
          DINOLoss instance.
      """
      return cls(loss_config)
  
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 2 for calling the DINOLoss obj's underlying member method code with example usage: obj.from_config(cls, loss_config) and returns: cls