code: def insert_tensor(self, tensor, swap_path, aligned_numel):
      swap_tensor, compute_tensor = self.allocate_tensor(
          swap_path, tensor.numel(), aligned_numel
      )
      compute_tensor.data.copy_(tensor.data)
      return swap_tensor, compute_tensor
  
imports: import torch
  from deepspeed.utils.logging import logger
  from deepspeed import comm
label_desc: Use image node_id 3 for calling the SwapBuffer obj's underlying member method code with example usage: obj.insert_tensor(tensor, swap_path, aligned_numel) and returns: swap_tensor,  compute_tensor