code: def reduce_center_update(self, teacher_output):
      self.updated = False
      self.len_teacher_output = len(teacher_output)
      self.async_batch_center = torch.sum(
          teacher_output, dim=0, keepdim=True
      )
      if dist.is_initialized():
          self.reduce_handle = dist.all_reduce(
              self.async_batch_center, async_op=True
          )
  
file_path: dinov2/dinov2/loss/dino_clstoken_loss.py
imports: import torch
  import torch.distributed
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 6 for calling the DINOLoss obj's underlying member method code with example usage: obj.reduce_center_update(teacher_output) without return types