code: def _replace_old_address_with_new(self, tensor_id, new_address):
      tensor = self.tensor_map[tensor_id]
      tensor_size = tensor.numel()
      tensor.data = self.buffer.narrow(0, new_address, tensor_size).data
  
      self._release_tensor(tensor_id)
      self._mark_as_occupied(new_address, tensor_size)
  
      self.tensor_ids[new_address] = tensor_id
      self.tensor_map[tensor_id] = tensor
      self.tensor_addresses[tensor_id] = new_address
      self.tensor_sizes[new_address] = tensor_size
  
imports: import torch
  from deepspeed import comm
label_desc: Use image node_id 13 for calling the ContiguousMemoryAllocator obj's underlying member method code with example usage: obj._replace_old_address_with_new(tensor_id, new_address) without return types