code: def get_or_create_gradient_paths(self, offsets, lengths):
      gradient_paths = []
      for offset, length in zip(offsets, lengths):
          if not offset in self.swapped_gradients.keys():
              path = os.path.join(
                  self.swap_folder,
                  f"{self.param_id}_gradient_{offset}_{length}.tensor.swp",
              )
              self.swapped_gradients[offset] = FlattenedTensorSwapInfo(
                  path, length, offset
              )
  
          gradient_paths.append(self.swapped_gradients[offset].path)
  
      return gradient_paths
  
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 9 for calling the OptimizerStateSwapInfo obj's underlying member method code with example usage: obj.get_or_create_gradient_paths(offsets, lengths) and returns: gradient_paths