code: def allocate_tensor(self, numel, swap_path, aligned_numel):
      if self.has_space(aligned_numel):
          (
              swap_tensor,
              compute_tensor,
          ) = self._get_current_buffer().allocate_tensor(
              swap_path, numel, aligned_numel
          )
          return swap_tensor, compute_tensor
  
      return None, None
  
imports: import torch
  from deepspeed.utils.logging import logger
  from deepspeed import comm
label_desc: Use image node_id 3 for calling the SwapBufferPool obj's underlying member method code with example usage: obj.allocate_tensor(numel, swap_path, aligned_numel) and returns: None,  None, swap_tensor,  compute_tensor