code: def _adjust_for_misaligned_lengths(self, tensors, offsets):
      new_tensors = []
      new_offsets = []
  
      for orig_tensor, orig_offset in zip(tensors, offsets):
          if not self.swappable_tensor(param=orig_tensor):
              new_tensors.append(orig_tensor)
              new_offsets.append(orig_offset)
              continue
  
          remainder = orig_tensor.numel() % self.numel_alignment
          if remainder == 0:
              new_tensors.append(orig_tensor)
              new_offsets.append(orig_offset)
              continue
  
          # Split into two by making remainder a tensor
          aligned_length = (
              orig_tensor.numel() // self.numel_alignment
          ) * self.numel_alignment
          new_tensors.append(orig_tensor.narrow(0, 0, aligned_length))
          new_offsets.append(orig_offset)
  
          # remainder tensor
          new_tensors.append(
              orig_tensor.narrow(0, aligned_length, remainder)
          )
          new_offsets.append(orig_offset + aligned_length)
  
      return new_tensors, new_offsets
  
imports: import os
  import torch
  from deepspeed import comm
  from deepspeed.utils.logging import logger
  from deepspeed.runtime.swap_tensor.constants import *
  from deepspeed.runtime.swap_tensor.utils import swap_in_tensors, swap_out_tensors, MIN_AIO_BYTES, AIO_ALIGNED_BYTES, get_sized_buffers
  from deepspeed.runtime.swap_tensor.utils import SwapBufferManager, SwapBufferPool
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 16 for calling the OptimizerSwapper obj's underlying member method code with example usage: obj._adjust_for_misaligned_lengths(tensors, offsets) and returns: new_tensors,  new_offsets